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63  <h1 id="-publications">📝 Publications</h1>
64
65<!-- ## Group highlights
66
67**At the end of this page, you can find the [full list of publications and patents](#full-list-of-publications). All papers are also available on [arXiv](https://arxiv.org/search/?searchtype=author&query=Allan%2C+M+P).**
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387<p> &nbsp; </p>
388
389
390## Patents
391<em>Milan P Allan, S Gröblacher, RA Norte, M Leeuwenhoek</em><br />Novel atomic force microscopy probes with phononic crystals<br /> PCT/NL20-20/050797 (2020)
392
393<em>Milan P Allan</em><br /> Methods of manufacturing superconductor and phononic elements <br /> <a href="https://patents.google.com/patent/US10439125B2/en?inventor=Milan+ALLAN&oq=inventor:(Milan+ALLAN)">US10439125B2 (2016)</a> -->
394
395<!-- ## Publications -->
396
397<!-- 
398
399  Advancing Reference-free Evaluation of Video Captions with Factual Analysis <br />
400  <em> </em><br /><a href="">ACL</a>
401
402
403
404  Harnessing Object Grounding for Time-Sensitive Video Understanding <br />
405  <em> </em><br /><a href="">WACV</a>
406
407
408
409  EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs <br />
410  <em> </em><br /><a href="">ICCVW</a>
411
412
413
414  ByDeWay: Boost Your multimodal LLM with DEpth prompting in a training-free Way <br />
415  <em> </em><br /><a href="">ICCVW</a>
416
417
418
419  Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models <br />
420  <em> </em><br /><a href="">ICCVW</a>
421
422
423
424  MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models <br />
425  <em> </em><br /><a href="">ASPLOS</a>
426
427
428
429  ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning <br />
430  <em> </em><br /><a href="">ICCV</a>
431
432
433
434  OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models <br />
435  <em> </em><br /><a href="">ICCV</a>
436
437
438
439  CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing <br />
440  <em> </em><br /><a href="">COLM</a>
441
442
443
444  SEAL: Steerable reasoning calibration of large language models for free <br />
445  <em> </em><br /><a href="">COLM</a>
446
447
448
449  PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop <br />
450  <em> </em><br /><a href="">ICML</a>
451
452
453
454  On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving <br />
455  <em> </em><br /><a href="">ICML</a>
456
457
458
459  PALADIN : Robust Neural Fingerprinting for Text-to-Image Diffusion Models <br />
460  <em> </em><br /><a href="">CVPRW</a>
461
462
463
464  LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering <br />
465  <em> </em><br /><a href="">ACL</a>
466
467
468
469  Accelerating LLM Inference with Flexible N: M Sparsity via A Fully Digital Compute-in-Memory Accelerator <br />
470  <em> </em><br /><a href="">DAC</a>
471
472
473
474  LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression <br />
475  <em> </em><br /><a href="">NAACL</a>
476
477
478
479  Stiefel Flow Matching for Moment-Constrained Structure Elucidation <br />
480  <em> </em><br /><a href="">ICLR</a>
481
482
483
484  SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models <br />
485  <em> </em><br /><a href="">ICLR</a>
486
487
488
489  MatExpert: Decomposing Materials Discovery By Mimicking Human Experts <br />
490  <em> </em><br /><a href="">ICLR</a>
491
492
493
494  Scaling Long Context Training Data by Long-Distance Referrals <br />
495  <em> </em><br /><a href="">ICLR</a>
496
497
498
499  LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding <br />
500  <em> </em><br /><a href="">ICLR</a>
501
502
503
504  GraphAny: A Foundation Model for Node Classification on Any Graph <br />
505  <em> </em><br /><a href="">ICLR</a>
506
507
508
509  MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba <br />
510  <em> </em><br /><a href="">ICLR</a>
511
512
513
514  QMambaExtend: Improving Long-Context Extension of Memory-Efficient Mamba Models <br />
515  <em> </em><br /><a href="">ICLR workshop</a>
516
517
518
519  LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models <br />
520  <em> </em><br /><a href="">ICLR workshop</a>
521
522
523
524  MaskVD: Region Masking for Efficient Video Object Detection <br />
525  <em> </em><br /><a href="">WACV</a>
526
527
528
529  Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation <br />
530  <em> </em><br /><a href="">WACV</a>
531
532
533
534  Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation <br />
535  <em> </em><br /><a href="">WACV</a>
536
537
538
539  BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields <br />
540  <em> </em><br /><a href="">WACV</a>
541
542
543
544  LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models <br />
545  <em> </em><br /><a href="https://arxiv.org/abs/2405.18377">ECCV</a>
546
547
548
549  Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping <br />
550  <em> </em><br /><a href="">TMLR</a>
551
552
553
554  R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model <br />
555  <em> </em><br /><a href="">ECCV</a>
556
557
558
559  CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs <br />
560  <em> </em><br /><a href="">ECCV</a>
561
562
563
564  GenQ: Quantization in Low Data Regimes with Generative Synthetic Data <br />
565  <em> </em><br /><a href="https://arxiv.org/pdf/2312.05272">ECCV</a>
566
567
568
569  Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter Efficient BERT <br />
570  <em> </em><br /><a href="https://arxiv.org/abs/2307.11764">ICASSP</a>
571
572
573
574  SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search <br />
575  <em> </em><br /><a href="https://arxiv.org/abs/2312.13301">arXiv</a>
576
577
578
579  Searching the Space of High-Value Molecules Using Reinforcement Learning and Language Models <br />
580  <em> </em><br /><a href="">ICLR</a>
581
582
583
584  Towards Foundation Models for Knowledge Graph Reasoning <br />
585  <em> </em><br /><a href="">ICLR</a>
586
587
588
589  Fusing Models with Complementary Expertise <br />
590  <em> </em><br /><a href="https://openreview.net/pdf?id=PhMrGCMIRL">ICLR</a>
591
592
593
594  AFLoRA: Adaptive Freezing of Low-Rank Adapters for Parameter Efficient Fine-Tuning of Language Models <br />
595  <em> </em><br /><a href="https://arxiv.org/pdf/2403.13269.pdf">ACL</a>
596
597
598
599  RLNet: Robust Linearized Networks for Efficient Private Inference <br />
600  <em> </em><br /><a href="">CVPRW</a>
601
602
603
604  Block Selective Reprogramming for On-device Training of Vision Transformers <br />
605  <em> </em><br /><a href="">CVPRW</a>
606
607
608
609  VideoSAGE: Video Summarization with Graph Representation Learning <br />
610  <em> </em><br /><a href="https://arxiv.org/pdf/2404.10539.pdf">CVPRW</a>
611
612
613
614  LAVITI: Contrastive Language Video Time Pre-training <br />
615  <em> </em><br /><a href="">CVPRW</a>
616
617
618
619  Pruning Small Magnitude Weights Monotonically and Irreversibly Impairs Difficult Downstream Tasks in LLMs <br />
620  <em> </em><br /><a href="">arXiv</a>
621
622
623
624  Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware <br />
625  <em> </em><br /><a href="https://arxiv.org/abs/2402.11780">arXiv</a>
626
627
628
629  Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation <br />
630  <em> </em><br /><a href="">Under review</a>
631
632
633
634  PASTE: Prompt-Aligned Scene TExture synthesis <br />
635  <em> </em><br /><a href="">Under review</a>
636
637
638
639  Image Sculpting: Precise Object Editing with 3D Geometry Control <br />
640  <em> </em><br /><a href="https://arxiv.org/abs/2401.01702">CVPR</a>
641
642
643
644  WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models <br />
645  <em> </em><br /><a href="https://arxiv.org/abs/2306.04744">CVPR</a>
646
647
648
649  Action Scene Graphs for Long-Form Understanding of Egocentric Videos <br />
650  <em> </em><br /><a href="https://arxiv.org/abs/2312.03391">CVPR</a>
651
652
653
654  BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields <br />
655  <em> </em><br /><a href="https://arxiv.org/abs/2309.15329">ArXiv</a>
656
657
658
659  Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos <br />
660  <em> </em><br /><a href="https://arxiv.org/abs/2204.01696">arXiv</a>
661
662
663
664  Text Spotting Transformers <br />
665  <em> </em><br /><a href="https://arxiv.org/abs/2204.01918">arXiv</a>
666
667
668
669  Learning long-term spatial-temporal graphs for active speaker detection <br />
670  <em> </em><br /><a href="https://arxiv.org/pdf/2207.07783.pdf">arXiv</a>
671
672
673
674  Single-Stage Visual Relationship Learning using Conditional Queries <br />
675  <em> </em><br /><a href="https://openreview.net/forum?id=hPVXHzzK0z">openReview</a>
676
677
678
679  STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization <br />
680  <em> </em><br /><a href="https://arxiv.org/abs/2306.10608">ArXiv</a>
681
682
683
684  BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives <br />
685  <em> </em><br /><a href="https://arxiv.org/abs/2306.04166">ArXiv</a>
686
687
688
689  SViTT: Temporal Learning of Sparse Video-Text Transformer <br />
690  <em> </em><br /><a href="https://arxiv.org/abs/2304.08809">arXiv</a>
691
692
693
694  Unbiased video scene graph generation <br />
695  <em> </em><br /><a href="https://arxiv.org/abs/2304.00733">arXiv</a>
696
697
698
699  Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs <br />
700  <em> </em><br /><a href="https://openaccess.thecvf.com/content/WACV2023/papers/Feng_Exploiting_Long-Term_Dependencies_for_Generating_Dynamic_Scene_Graphs_WACV_2023_paper.pdf">CVF</a>
701
702
703
704  TrimBERT: Tailoring BERT for Trade-offs <br />
705  <em> </em><br /><a href="https://arxiv.org/abs/2202.12411">arXiv</a>
706
707
708
709  Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms <br />
710  <em> </em><br /><a href="https://arxiv.org/abs/2202.12934">arXiv</a>
711
712
713
714  A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities <br />
715  <em> </em><br /><a href="https://arxiv.org/abs/2205.10358">arXiv</a>
716
717
718
719  Automated Super-Network Generation for Scalable Neural Architecture Search <br />
720  <em> </em><br /><a href="https://openreview.net/forum?id=HK-zmbTB8gq">OpenReview</a>
721
722
723
724  FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness <br />
725  <em> </em><br /><a href="https://openreview.net/forum?id=MXrIVw-F_a4">OpenReview</a>
726
727
728
729  Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between  Accuracy and Robustness of DNNs <br />
730  <em> </em><br /><a href="https://arxiv.org/abs/2302.03523">arXiv</a>
731
732
733
734  AttentionLite: Towards Efficient Self-attention models for Vision <br />
735  <em> </em><br /><a href="https://arxiv.org/abs/2101.05216">arXiv</a>
736
737
738
739  Improving Accuracy of Respiratory Rate Estimation by Restoring High Resolution Features With Transformers and Recursive Convolutional Models <br />
740  <em> </em><br /><a href="https://openaccess.thecvf.com/content/CVPR2021W/CVPM/html/Kwasniewska_Improving_Accuracy_of_Respiratory_Rate_Estimation_by_Restoring_High_Resolution_CVPRW_2021_paper.html">CVF</a>
741
742
743
744  Undivided Attention: Are Intermediate Layers Necessary for BERT? <br />
745  <em> </em><br /><a href="https://neurips2021-nlp.github.io/papers/33/CameraReady/Undivided_Attention_Neurips_Workshop_2021_CameraReady.pdf">NeurIPS</a>
746
747
748
749  Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures <br />
750  <em> </em><br /><a href="https://ml4physicalsciences.github.io/2021/files/NeurIPS_ML4PS_2021_138.pdf">NeurIPS</a>
751
752
753
754  Self-Attentive Pooling for Efficient Deep Learning <br />
755  <em> </em><br /><a href="https://openaccess.thecvf.com/content/WACV2023/papers/Chen_Self-Attentive_Pooling_for_Efficient_Deep_Learning_WACV_2023_paper.pdf">WACV</a>
756
757
758
759  Vision HGNN: An Image is More than a Graph of Nodes <br />
760  <em> </em><br /><a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Han_Vision_HGNN_An_Image_is_More_than_a_Graph_of_ICCV_2023_paper.pdf">ICCV</a>
761
762
763
764  SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation <br />
765  <em> </em><br /><a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Zhang_SAL-ViT_Towards_Latency_Efficient_Private_Inference_on_ViT_using_Selective_ICCV_2023_paper.pdf">ICCV</a>
766
767
768
769  InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning <br />
770  <em> </em><br /><a href="https://openaccess.thecvf.com/content/ICCV2023W/RCV/papers/Sridhar_InstaTune_Instantaneous_Neural_Architecture_Search_During_Fine-Tuning_ICCVW_2023_paper.pdf">CVF</a>
771
772
773
774  NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations <br />
775  <em> </em><br /><a href="https://proceedings.mlr.press/v202/fu23g/fu23g.pdf">PMLR</a>
776
777
778
779  Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference <br />
780  <em> </em><br /><a href="https://openreview.net/forum?id=BGF9IeDfmlH">OpenReview</a>
781
782
783
784  C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference <br />
785  <em> </em><br /><a href="https://openreview.net/pdf?id=3ieUGDWGrt4">arxiv</a>
786
787 -->
788
789<h3 style="padding-bottom: 0px;margin-bottom: 0; text-align: center;">2026</h3>
790<hr style="border: 2;height: 2px;width: 90%;" />
791
792<p>Shubhashis Roy Dipta<em>, Tz-Ying Wu</em>, Subarna Tripathi <br />
793  <b> Advancing Reference-free Evaluation of Video Captions with Factual Analysis </b> <br />
794  ACL 2026. <br />
795  <a href="">[ACL]</a> <a href="">[project]</a> 
796  <a href="">[code]</a></p>
797
798<!-- 
799 -->
800
801<p>Tz-Ying Wu, Sharath Nittur Sridhar, Subarna Tripathi <br />
802  <b> Harnessing Object Grounding for Time-Sensitive Video Understanding </b> <br />
803  WACV 2026. <br />
804  <a href="">[WACV]</a> <a href="">[project]</a> 
805  <a href="">[code]</a></p>
806
807<!-- 
808 -->
809
810<p>Yuchen Xia, Divyam Sharma, Yichao Yuan, Souvik Kundu, Nishil Talati <br />
811  <b> MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models </b> <br />
812  ASPLOS 2026. <br />
813  <a href="">[ASPLOS]</a> <a href="">[project]</a> 
814  <a href="">[code]</a></p>
815
816<!-- 
817 -->
818
819<h3 style="padding-bottom: 0px;margin-bottom: 0; text-align: center;">2025</h3>
820<hr style="border: 2;height: 2px;width: 90%;" />
821
822<p>Ivan Rodin<em>, Tz-Ying Wu</em>, Kyle Min, Sharath Nittur Sridhar, Antonino Furnari, Subarna Tripathi, Giovanni Maria Farinella <br />
823  <b> EASG-Bench: Video Q&amp;A Benchmark with Egocentric Action Scene Graphs </b> <br />
824  ICCV Workshop 2025. <br />
825  <a href="">[ICCVW]</a> <a href="">[project]</a> 
826  <a href="">[code]</a></p>
827
828<!-- 
829 -->
830
831<p>Rajarshi Roy, Devleena Das, Ankesh Banerjee, Arjya Bhattacharjee, Kousik Dasgupta, Subarna Tripathi <br />
832  <b> ByDeWay: Boost Your multimodal LLM with DEpth prompting in a training-free Way </b> <br />
833  ICCV Workshop 2025. <br />
834  <a href="">[ICCVW]</a> <a href="">[project]</a> 
835  <a href="">[code]</a></p>
836
837<!-- 
838 -->
839
840<p>Tz-Ying Wu, Tahani Trigui, Sharath Nittur Sridhar, Anand Bodas, Subarna Tripathi <br />
841  <b> Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models </b> <br />
842  ICCV Workshop 2025. <br />
843  <a href="">[ICCVW]</a> <a href="">[project]</a> 
844  <a href="">[code]</a></p>
845
846<!-- 
847 -->
848
849<p>Jongseo Lee, Kyungho Bae, Kyle Min, Gyeong-Moon Park, Jinwoo Choi <br />
850  <b> ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning </b> <br />
851  ICCV 2025. <br />
852  <a href="">[ICCV]</a> <a href="">[project]</a> 
853  <a href="">[code]</a></p>
854
855<!-- 
856 -->
857
858<p>Akshat Ramachandran, Mingyu Lee, Huan Xu, Souvik Kundu, Tushar Krishna <br />
859  <b> OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models </b> <br />
860  ICCV 2025. <br />
861  <a href="">[ICCV]</a> <a href="">[project]</a> 
862  <a href="">[code]</a></p>
863
864<!-- 
865 -->
866
867<p>Wenhao Zheng, Yixiao Chen, Weitong Zhang, Souvik Kundu, Yun Li, Zhengzhong Liu, Eric P Xing, Hongyi Wang, Huaxiu Yao <br />
868  <b> CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing </b> <br />
869  COLM 2025. <br />
870  <a href="">[COLM]</a> <a href="">[project]</a> 
871  <a href="">[code]</a></p>
872
873<!-- 
874 -->
875
876<p>Runjin Chen, Zhenyu Zhang, Junyuan Hong, Souvik Kundu, Zhangyang Wang <br />
877  <b> SEAL: Steerable reasoning calibration of large language models for free </b> <br />
878  COLM 2025. <br />
879  <a href="">[COLM]</a> <a href="">[project]</a> 
880  <a href="">[code]</a></p>
881
882<!-- 
883 -->
884
885<p>Chenyu Li, Oscar Michel, Xichen Pan, Sainan Liu, Mike Roberts, Saining Xie <br />
886  <b> PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop </b> <br />
887  ICML 2025. <br />
888  <a href="">[ICML]</a> <a href="">[project]</a> 
889  <a href="">[code]</a></p>
890
891<!-- 
892 -->
893
894<p>Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella <br />
895  <b> On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving </b> <br />
896  ICML 2025. <br />
897  <a href="">[ICML]</a> <a href="">[project]</a> 
898  <a href="">[code]</a></p>
899
900<!-- 
901 -->
902
903<p>Murthy L, Subarna Tripathi <br />
904  <b> PALADIN : Robust Neural Fingerprinting for Text-to-Image Diffusion Models </b> <br />
905  CVPR Workshop 2025. <br />
906  <a href="">[CVPRW]</a> <a href="">[project]</a> 
907  <a href="">[code]</a></p>
908
909<!-- 
910 -->
911
912<p>Zhifan Ye, Zheng Wang, Kejing Xia, Jihoon Hong, Leshu Li, Lexington Whalen, Cheng Wan, Yonggan Fu, Celine Lin, Souvik Kundu <br />
913  <b> LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering </b> <br />
914  ACL 2025. <br />
915  <a href="">[ACL]</a> <a href="">[project]</a> 
916  <a href="">[code]</a></p>
917
918<!-- 
919 -->
920
921<p>Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K Mathaikutty, Tushar Krishna <br />
922  <b> Accelerating LLM Inference with Flexible N: M Sparsity via A Fully Digital Compute-in-Memory Accelerator </b> <br />
923  DAC 2025. <br />
924  <a href="">[DAC]</a> <a href="">[project]</a> 
925  <a href="">[code]</a></p>
926
927<!-- 
928 -->
929
930<p>Souvik Kundu, Anahita B., S Yu, P Howard, Tiep Le, Sharath Nittur Sridhar, H Kang, 
930V Lal <br />
931  <b> LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression </b> <br />
932  NAACL 2025. <br />
933  <a href="">[NAACL]</a> <a href="">[project]</a> 
934  <a href="">[code]</a></p>
935
936<!-- 
937 -->
938
939<p>Austin Henry Cheng, Alston Lo, Kin Long Kelvin Lee, Santiago Miret, Alan Aspuru-Guzik <br />
940  <b> Stiefel Flow Matching for Moment-Constrained Structure Elucidation </b> <br />
941  ICLR 2025. <br />
942  <a href="">[ICLR]</a> <a href="">[project]</a> 
943  <a href="">[code]</a></p>
944
945<!-- 
946 -->
947
948<p>Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh <br />
949  <b> SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models </b> <br />
950  ICLR 2025. <br />
951  <a href="">[ICLR]</a> <a href="">[project]</a> 
952  <a href="">[code]</a></p>
953
954<!-- 
955 -->
956
957<p>Qianggang Ding, Santiago Miret, Bang Liu <br />
958  <b> MatExpert: Decomposing Materials Discovery By Mimicking Human Experts </b> <br />
959  ICLR 2025. <br />
960  <a href="">[ICLR]</a> <a href="">[project]</a> 
961  <a href="">[code]</a></p>
962
963<!-- 
964 -->
965
966<p>Yonghao Zhuang, L. Hu, Yun Longfei, Souvik Kundu, Liu Zhengzhong, Eric P. Xing, Hao Zhang <br />
967  <b> Scaling Long Context Training Data by Long-Distance Referrals </b> <br />
968  ICLR 2025. <br />
969  <a href="">[ICLR]</a> <a href="">[project]</a> 
970  <a href="">[code]</a></p>
971
972<!-- 
973 -->
974
975<p>D. Jang, S. Park, June Y. Yang, Y. Jung, J. Yun, Souvik Kundu, Sung-Yub Kim, Eunho Yang <br />
976  <b> LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding </b> <br />
977  ICLR 2025. <br />
978  <a href="">[ICLR]</a> <a href="">[project]</a> 
979  <a href="">[code]</a></p>
980
981<!-- 
982 -->
983
984<p>Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang <br />
985  <b> GraphAny: A Foundation Model for Node Classification on Any Graph </b> <br />
986  ICLR 2025. <br />
987  <a href="">[ICLR]</a> <a href="https://github.com/DeepGraphLearning/GraphAny">[project]</a> 
988  <a href="https://github.com/DeepGraphLearning/GraphAny">[code]</a></p>
989
990<!-- 
991 -->
992
993<p>Souvik Kundu, Seyedarmin Azizi, M. Sadeghi, Massoud Pedram <br />
994  <b> MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba </b> <br />
995  ICLR 2025. <br />
996  <a href="">[ICLR]</a> <a href="">[project]</a> 
997  <a href="">[code]</a></p>
998
999<!-- 
1000 -->
1001
1002<p>SeyedArmin Azizi, Souvik Kundu, M. Sadeghi, Massoud Pedram <br />
1003  <b> QMambaExtend: Improving Long-Context Extension of Memory-Efficient Mamba Models </b> <br />
1004  ICLR workshop 2025. <br />
1005  <a href="">[ICLR workshop]</a> <a href="">[project]</a> 
1006  <a href="">[code]</a></p>
1007
1008<!-- 
1009 -->
1010
1011<p>Sihwan Park, Doohyuk Jang, Sung-Yub Kim, Souvik Kundu, Eunho Yang <br />
1012  <b> LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models </b> <br />
1013  ICLR workshop 2025. <br />
1014  <a href="">[ICLR workshop]</a> <a href="">[project]</a> 
1015  <a href="">[code]</a></p>
1016
1017<!-- 
1018 -->
1019
1020<p>S. Sarkar, G. Datta, Souvik Kundu, K. Zheng, C. Bhattacharyya, P. A. Beerel <br />
1021  <b> MaskVD: Region Masking for Efficient Video Object Detection </b> <br />
1022  WACV 2025. <br />
1023  <a href="">[WACV]</a> <a href="">[project]</a> 
1024  <a href="">[code]</a></p>
1025
1026<!-- 
1027 -->
1028
1029<p>Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos <br />
1030  <b> Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation </b> <br />
1031  WACV 2025. <br />
1032  <a href="">[WACV]</a> <a href="">[project]</a> 
1033  <a href="">[code]</a></p>
1034
1035<!-- 
1036 -->
1037
1038<p>Utkarsh Nath, Rajeev Goel, Kyle Min, Yezhou Yang, Eun Som Jeon <br />
1039  <b> Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation </b> <br />
1040  WACV 2025. <br />
1041  <a href="">[WACV]</a> <a href="">[project]</a> 
1042  <a href="">[code]</a></p>
1043
1044<!-- 
1045 -->
1046
1047<p>Shreya Saha, Lucas Liang, Shan Lin, Jingpei Lu, Michael Yip, Sainan Liu <br />
1048  <b> BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields </b> <br />
1049  WACV 2025. <br />
1050  <a href="">[WACV]</a> <a href="">[project]</a> 
1051  <a href="">[code]</a></p>
1052
1053<!-- 
1054 -->
1055
1056<h3 style="padding-bottom: 0px;margin-bottom: 0; text-align: center;">2024</h3>
1057<hr style="border: 2;height: 2px;width: 90%;" />
1058
1059<p>Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan <br />
1060  <b> LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models </b> <br />
1061  ECCV 2024. <br />
1062  <a href="https://arxiv.org/abs/2405.18377">[ECCV]</a> <a href="">[project]</a> 
1063  <a href="">[code]</a></p>
1064
1065<!-- 
1066  <a href="https://arxiv.org/abs/2405.18377">[ECCV]</a>
1067
1068 -->
1069
1070<p>
1070Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu <br />
1071  <b> Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping </b> <br />
1072  TMLR 2024. <br />
1073  <a href="">[TMLR]</a> <a href="">[project]</a> 
1074  <a href="">[code]</a></p>
1075
1076<!-- 
1077 -->
1078
1079<p>Changhoon Kim<em>, Kyle Min</em>, Yezhou Yang <br />
1080  <b> R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model </b> <br />
1081  ECCV 2024. <br />
1082  <a href="">[ECCV]</a> <a href="">[project]</a> 
1083  <a href="">[code]</a></p>
1084
1085<!-- 
1086 -->
1087
1088<p>A. Ramachandran, Souvik Kundu, Tushar Krishna <br />
1089  <b> CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs </b> <br />
1090  ECCV 2024. <br />
1091  <a href="">[ECCV]</a> <a href="">[project]</a> 
1092  <a href="">[code]</a></p>
1093
1094<!-- 
1095 -->
1096
1097<p>A. Ramachandran, Souvik Kundu, Tushar Krishna <br />
1098  <b> GenQ: Quantization in Low Data Regimes with Generative Synthetic Data </b> <br />
1099  ECCV 2024. <br />
1100  <a href="https://arxiv.org/pdf/2312.05272">[ECCV]</a> <a href="">[project]</a> 
1101  <a href="">[code]</a></p>
1102
1103<!-- 
1104  <a href="https://arxiv.org/pdf/2312.05272">[ECCV]</a>
1105
1106 -->
1107
1108<p>Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin, Sairam Sundaresan <br />
1109  <b> Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter Efficient BERT </b> <br />
1110  ICASSP 2024. <br />
1111  <a href="https://arxiv.org/abs/2307.11764">[ICASSP]</a> <a href="">[project]</a> 
1112  <a href="">[code]</a></p>
1113
1114<!-- 
1115  <a href="https://arxiv.org/abs/2307.11764">[ICASSP]</a>
1116
1117 -->
1118
1119<p>Sharath Nittur Sridhar, Maciej Szankin, Fang Chen, Sairam Sundaresan, Anthony Sarah <br />
1120  <b> SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search </b> <br />
1121  Association for the Advancement of Artificial Intelligence (AAAI) 2024. <br />
1122  <a href="https://arxiv.org/abs/2312.13301">[arXiv]</a> <a href="">[project]</a> 
1123  <a href="">[code]</a></p>
1124
1125<!-- 
1126  <a href="https://arxiv.org/abs/2312.13301">[arXiv]</a>
1127
1128 -->
1129
1130<p>Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth <br />
1131  <b> Searching the Space of High-Value Molecules Using Reinforcement Learning and Language Models </b> <br />
1132  ICLR 2024. <br />
1133  <a href="">[ICLR]</a> <a href="">[project]</a> 
1134  <a href="">[code]</a></p>
1135
1136<!-- 
1137 -->
1138
1139<p>Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu <br />
1140  <b> Towards Foundation Models for Knowledge Graph Reasoning </b> <br />
1141  ICLR 2024. <br />
1142  <a href="">[ICLR]</a> <a href="">[project]</a> 
1143  <a href="">[code]</a></p>
1144
1145<!-- 
1146 -->
1147
1148<p>Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric Xing, Mikhail Yurochkin <br />
1149  <b> Fusing Models with Complementary Expertise </b> <br />
1150  ICLR 2024. <br />
1151  <a href="https://openreview.net/pdf?id=PhMrGCMIRL">[ICLR]</a> <a href="">[project]</a> 
1152  <a href="">[code]</a></p>
1153
1154<!-- 
1155  <a href="https://openreview.net/pdf?id=PhMrGCMIRL">[ICLR]</a>
1156
1157 -->
1158
1159<p>Souvik Kundu, Zeyu Liu, Anni Li, Junrui Wan, Lianghao Jiang, Peter A. Beerel <br />
1160  <b> AFLoRA: Adaptive Freezing of Low-Rank Adapters for Parameter Efficient Fine-Tuning of Language Models </b> <br />
1161  ACL (best paper nomination from Meta-reviewer) 2024. <br />
1162  <a href="https://arxiv.org/pdf/2403.13269.pdf">[ACL]</a> <a href="">[project]</a> 
1163  <a href="">[code]</a></p>
1164
1165<!-- 
1166  <a href="https://arxiv.org/pdf/2403.13269.pdf">[ACL]</a>
1167
1168 -->
1169
1170<p>Souvik Kundu, Sreetama Sarkar, Peter A. Beerel <br />
1171  <b> RLNet: Robust Linearized Networks for Efficient Private Inference </b> <br />
1172  CVPR (Trusted Computer Vision) 2024. <br />
1173  <a href="">[CVPRW]</a> <a href="">[project]</a> 
1174  <a href="https://github.com/sreetamasarkar/rlnet/tree/main">[code]</a></p>
1175
1176<!-- 
1177 -->
1178
1179<p>Sreetama Sarkar, Souvik Kundu, Kai Zheng, Peter A. Beerel <br />
1180  <b> Block Selective Reprogramming for On-device Training of Vision Transformers </b> <br />
1181  CVPR (ECV) ORAL presentation 2024. <br />
1182  <a href="">[CVPRW]</a> <a href="">[project]</a> 
1183  <a href="https://github.com/sreetamasarkar/BSR">[code]</a></p>
1184
1185<!-- 
1186 -->
1187
1188<p>Jose Rojas Chaves, Subarna Tripathi <br />
1189  <b> VideoSAGE: Video Summarization with Graph Representation Learning </b> <br />
1190  CVPR 2024. <br />
1191  <a href="https://arxiv.org/pdf/2404.10539.pdf">[CVPRW]</a> <a href="">[project]</a> 
1192  <a href="">[code]</a></p>
1193
1194<!-- 
1195  <a href="https://arxiv.org/pdf/2404.10539.pdf">[CVPRW]</a>
1196
1197 -->
1198
1199<p>Hengyue Liu, Kyle Min, Hector A Valdez, Subarna Tripathi <br />
1200  <b> LAVITI: Contrastive Language Video Time Pre-training </b> <br />
1201  CVPR (EgoVis) 2024. <br />
1202  <a href="">[CVPRW]</a> <a href="">[project]</a> 
1203  <a href="">[code]</a></p>
1204
1205<!-- 
1206 -->
1207
1208<p>Lu Yin, Shiwei Liu, Ajay Jaiswal, Souvik Kundu, Zhangyang (Atlas) Wang <br />
1209  <b> Pruning Small Magnitude Weights Monotonically and Irreversibly Impairs Difficult Downstream Tasks in LLMs </b> <br />
1210  ICML 2024. <br />
1211  <a href="">[arXiv]</a> <a href="">[project]</a> 
1212  <a href="">[code]</a></p>
1213
1214<!-- 
1215 -->
1216
1217<p>Souvik Kundu, Anthony Sarah, Vinay Joshi, Om J Omer, Sreenivas Subramoney <br />
1218  <b> Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware </b> <br />
1219  TinyML 2024. <br />
1220  <a href="https://arxiv.org/abs/2402.11780">[arXiv]</a> <a href="">[project]</a> 
1221  <a href="">[code]</a></p>
1222
1223<!-- 
1224  <a href="https://arxiv.org/abs/2402.11780">[arXiv]</a>
1225
1226 -->
1227
1228<p>Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos <br />
1229  <b> Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation </b> <br />
1230  under review 2024. <br />
1231  <a href="">[Under review]</a> <a href="">[project]</a> 
1232  <a href="">[code]</a></p>
1233
1234<!-- 
1235 -->
1236
1237<p>Ting Hsuan Liao, Sainan Liu, Ilke Demir, Jia-Bin Huang <br />
1238  <b> PASTE: Prompt-Aligned Scene TExture synthesis </b> <br />
1239  under review 2024. <br />
1240  <a href="">[Under review]</a> <a href="">[project]</a> 
1241  <a href="">[code]</a></p>
1242
1243<!-- 
1244 -->
1245
1246<p>Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie <br />
1247  <b> Image Sculpting: Precise Object Editing with 3D Geometry Control </b> <br />
1248  CVPR 2024. <br />
1249  <a href="https://arxiv.org/abs/2401.01702">[CVPR]</a> <a href="https://image-sculpting.github.io/">[project]</a> 
1250  <a href="https://github.com/vision-x-nyu/image-sculpting">[code]</a></p>
1251
1252<!-- 
1253  <a href="https://arxiv.org/abs/2401.01702">[CVPR]</a>
1254
1255 -->
1256
1257<p>Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang <br />
1258  <b> WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models </b> <br />
1259  CVPR 2024. <br />
1260  <a href="https://arxiv.org/abs/2306.04744">[CVPR]</a> <a href="https://wouaf.vercel.app/">[project]</a> 
1261  <a href="https://huggingface.co/spaces/wouaf/WOUAF-Text-to-Image">[code]</a></p>
1262
1263<!-- 
1264  <a href="https://arxiv.org/abs/2306.04744">[CVPR]</a>
1265
1266 -->
1267
1268<p>Ivan Rodin, Antonino Furnari, Kyle Min, Subarna Tripathi, Giovanni Maria Farinella <br />
1269  <b> Action Scene Graphs for Long-Form Understanding of Egocentric Videos </b> <br />
1270  CVPR 2024. <br />
1271  <a href="https://arxiv.org/abs/2312.03391">[CVPR]</a> <a href="">[project]</a> 
1272  <a href="https://github.com/fpv-iplab/EASG">[code]</a></p>
1273
1274<!-- 
1275  <a href="https://arxiv.org/abs/2312.03391">[CVPR]</a>
1276
1277 -->
1278
1279<p>Sainan Liu, Shan Lin, Jingpei Lu, Shreya Saha, Alexey Supikov, Michael Yip <br />
1280  <b> BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives </b> <br />
1281  CVPRW 2024. <br />
1282  <a href="https://arxiv.org/abs/2306.04166">[ArXiv]</a> <a href="">[project]</a> 
1283  <a href="https://github.com/IntelLabs/baa-ngp">[code]</a></p>
1284
1285<!-- 
1286  <a href="https://arxiv.org/abs/2306.04166">[ArXiv]</a>
1287
1288 -->
1289
1290<h3 style="padding-bottom: 0px;margin-bottom: 0; text-align: center;">2023</h3>
1291<hr style="border: 2;height: 2px;width: 90%;" />
1292
1293<p>Shreya Saha, Sainan Liu, Shan Lin, Jingpei Lu, Michael Yip <br />
1294  <b> BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields </b> <br />
1295  arXiv 2023. <br />
1296  <a href="https://arxiv.org/abs/2309.15329">[ArXiv]</a> <a href="https://sites.google.com/ucsd.edu/based-arclab-2023/">[project]</a> 
1297  <a href="">[code]</a></p>
1298
1299<!-- 
1300  <a href="https://arxiv.org/abs/2309.15329">[ArXiv]</a>
1301
1302 -->
1303
1304<p>Kyle Min <br />
1305  <b> STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization </b> <br />
1306  Ego4D challenge at CVPR 2023. <br />
1307  <a href="https://arxiv.org/abs/2306.10608">[ArXiv]</a> <a href="">[project]</a> 
1308  <a href="">[code]</a></p>
1309
1310<!-- 
1311  <a href="https://arxiv.org/abs/2306.10608">[ArXiv]</a>
1312
1313 -->
1314
1315<p>Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos <br />
1316  <b> SViTT: Temporal Learning of Sparse Video-Text Transformer </b> <br />
1317  Computer Vision and Pattern Recognition (CVPR),  2023. <br />
1318  <a href="https://arxiv.org/abs/2304.08809">[arXiv]</a> <a href="http://svcl.ucsd.edu/projects/svitt/">[project]</a> 
1319  <a href="">[code]</a></p>
1320
1321<!-- 
1322  <a href="https://arxiv.org/abs/2304.08809">[arXiv]</a>
1323
1324 -->
1325
1326<p>Sayak Nag, Kyle Min, Subarna Tripathi, Amit Roy Choudhury <br />
1327  <b> Unbiased video scene graph generation </b> <br />
1328  Computer Vision and Pattern Recognition (CVPR),  2023. <br />
1329  <a href="https://arxiv.org/abs/2304.00733">[arXiv]</a> <a href="">[project]</a> 
1330  <a href="https://github.com/sayaknag/unbiasedSGG.git">[code]</a></p>
1331
1332<!-- 
1333  <a href="https://arxiv.org/abs/2304.00733">[arXiv]</a>
1334
1335 -->
1336
1337<p>Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi <br />
1338  <b> Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs </b> <br />
1339  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),  2023. <br />
1340  <a href="https://openaccess.thecvf.com/content/WACV2023/papers/Feng_Exploiting_Long-Term_Dependencies_for_Generating_Dynamic_Scene_Graphs_WACV_2023_paper.pdf">[CVF]</a> <a href="">[project]</a> 
1341  <a href="https://github.com/Shengyu-Feng/DSG-DETR">[code]</a></p>
1342
1343<!-- 
1344  <a href="https://openaccess.thecvf.com/content/WACV2023/papers/Feng_Exploiting_Long-Term_Dependencies_for_Generating_Dynamic_Scene_Graphs_WACV_2023_paper.pdf">[CVF]</a>
1345
1346 -->
1347
1348<p>Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel <br />
1349  <b> Self-Attentive Pooling for Efficient Deep Learning </b> <br />
1350  WACV 2023. <br />
1351  <a href="https://openaccess.thecvf.com/content/WACV2023/papers/Chen_Self-Attentive_Pooling_for_Efficient_Deep_Learning_WACV_2023_paper.pdf">[WACV]</a> <a href="">[project]</a> 
1352  <a href="">[]</a></p>
1353
1354<!-- 
1355  <a href="https://openaccess.thecvf.com/content/WACV2023/papers/Chen_Self-Attentive_Pooling_for_Efficient_Deep_Learning_WACV_2023_paper.pdf">[WACV]</a>
1356
1357 -->
1358
1359<p>Yan Han, Peihao Wang, <strong>Souvik Kundu</strong>, Ding Ying, Zhangyang (Atlas) Wang <br />
1360  <b> Vision HGNN: An Image is More than a Graph of Nodes </b> <br />
1361  International Conference on Computer Vision (ICCV) ORAL,  2023. <br />
1362  <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Han_Vision_HGNN_An_Image_is_More_than_a_Graph_of_ICCV_2023_paper.pdf">[ICCV]</a> <a href="">[project]</a> 
1363  <a href="https://github.com/VITA-Group/ViHGNN">[]</a></p>
1364
1365<!-- 
1366  <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Han_Vision_HGNN_An_Image_is_More_than_a_Graph_of_ICCV_2023_paper.pdf">[ICCV]</a>
1367
1368 -->
1369
1370<p>Souvik Kundu, Yuke Zhang, Dake Chen*, Chenghao Li, Peter A. Beerel <br />
1371  <b> SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation </b> <br />
1372  International Conference on Computer Vision (ICCV),  2023. <br />
1373  <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Zhang_SAL-ViT_Towards_Latency_Efficient_Private_Inference_on_ViT_using_Selective_ICCV_2023_paper.pdf">[ICCV]</a> <a href="">[project]</a> 
1374  <a href="">[]</a></p>
1375
1376<!-- 
1377  <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Zhang_SAL-ViT_Towards_Latency_Efficient_Private_Inference_on_ViT_using_Selective_ICCV_2023_paper.pdf">[ICCV]</a>
1378
1379 -->
1380
1381<p>
1381Sharath Nittur Sridhar, Souvik Kundu, Sairam Sundaresan, Maciej Szankin, Anthony Sarah <br />
1382  <b> InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning </b> <br />
1383  International Conference on Computer Vision (ICCV) Workshop  2023. <br />
1384  <a href="https://openaccess.thecvf.com/content/ICCV2023W/RCV/papers/Sridhar_InstaTune_Instantaneous_Neural_Architecture_Search_During_Fine-Tuning_ICCVW_2023_paper.pdf">[CVF]</a> <a href="">[project]</a> 
1385  <a href="">[]</a></p>
1386
1387<!-- 
1388  <a href="https://openaccess.thecvf.com/content/ICCV2023W/RCV/papers/Sridhar_InstaTune_Instantaneous_Neural_Architecture_Search_During_Fine-Tuning_ICCVW_2023_paper.pdf">[CVF]</a>
1389
1390 -->
1391
1392<p>Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Celine Lin <br />
1393  <b> NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations </b> <br />
1394  International Conference on Machine Learning (ICML),  2023. <br />
1395  <a href="https://proceedings.mlr.press/v202/fu23g/fu23g.pdf">[PMLR]</a> <a href="">[project]</a> 
1396  <a href="https://github.com/GATECH-EIC/NeRFool">[]</a></p>
1397
1398<!-- 
1399  <a href="https://proceedings.mlr.press/v202/fu23g/fu23g.pdf">[PMLR]</a>
1400
1401 -->
1402
1403<p>Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Liu, Peter A. Beerel <br />
1404  <b> Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference </b> <br />
1405  International Conference on Learning Representation (ICLR),  2023. <br />
1406  <a href="https://openreview.net/forum?id=BGF9IeDfmlH">[OpenReview]</a> <a href="">[project]</a> 
1407  <a href="">[]</a></p>
1408
1409<!-- 
1410  <a href="https://openreview.net/forum?id=BGF9IeDfmlH">[OpenReview]</a>
1411
1412 -->
1413
1414<p>Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel <br />
1415  <b> C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference </b> <br />
1416  Design Automation Conference (DAC),  2023. <br />
1417  <a href="https://openreview.net/pdf?id=3ieUGDWGrt4">[arxiv]</a> <a href="">[project]</a> 
1418  <a href="">[]</a></p>
1419
1420<!-- 
1421  <a href="https://openreview.net/pdf?id=3ieUGDWGrt4">[arxiv]</a>
1422
1423 -->
1424
1425<h3 style="padding-bottom: 0px;margin-bottom: 0; text-align: center;">2022</h3>
1426<hr style="border: 2;height: 2px;width: 90%;" />
1427
1428<p>Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang <br />
1429  <b> Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos </b> <br />
1430  Computer Vision and Pattern Recognition (CVPR),  2022. <br />
1431  <a href="https://arxiv.org/abs/2204.01696">[arXiv]</a> <a href="https://stevenlsw.github.io/hoi-forecast/">[project]</a> 
1432  <a href="https://github.com/stevenlsw/hoi-forecast">[code]</a></p>
1433
1434<!-- 
1435  <a href="https://arxiv.org/abs/2204.01696">[arXiv]</a>
1436
1437 -->
1438
1439<p>Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu <br />
1440  <b> Text Spotting Transformers </b> <br />
1441  Computer Vision and Pattern Recognition (CVPR),  2022. <br />
1442  <a href="https://arxiv.org/abs/2204.01918">[arXiv]</a> <a href="">[project]</a> 
1443  <a href="https://github.com/mlpc-ucsd/TESTR">[code]</a></p>
1444
1445<!-- 
1446  <a href="https://arxiv.org/abs/2204.01918">[arXiv]</a>
1447
1448 -->
1449
1450<p>Kyle Min<em>, Sourya Roy</em>, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar <br />
1451  <b> Learning long-term spatial-temporal graphs for active speaker detection </b> <br />
1452  European Conference on Computer Vision (ECCV),  2022. <br />
1453  <a href="https://arxiv.org/pdf/2207.07783.pdf">[arXiv]</a> <a href="">[project]</a> 
1454  <a href="https://github.com/SRA2/SPELL">[code]</a></p>
1455
1456<!-- 
1457  <a href="https://arxiv.org/pdf/2207.07783.pdf">[arXiv]</a>
1458
1459 -->
1460
1461<p>Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos <br />
1462  <b> Single-Stage Visual Relationship Learning using Conditional Queries </b> <br />
1463  Neural Information Processing Systems (NeurIPS),  2022. <br />
1464  <a href="https://openreview.net/forum?id=hPVXHzzK0z">[openReview]</a> <a href="">[project]</a> 
1465  <a href="">[code]</a></p>
1466
1467<!-- 
1468  <a href="https://openreview.net/forum?id=hPVXHzzK0z">[openReview]</a>
1469
1470 -->
1471
1472<p>Sharath Nittur Sridhar, Anthony Sarah, Sairam Sundaresan <br />
1473  <b> TrimBERT: Tailoring BERT for Trade-offs </b> <br />
1474  International Conference on Machine Learning (ICML) 2022. <br />
1475  <a href="https://arxiv.org/abs/2202.12411">[arXiv]</a> <a href="">[project]</a> 
1476  <a href="">[code]</a></p>
1477
1478<!-- 
1479  <a href="https://arxiv.org/abs/2202.12411">[arXiv]</a>
1480
1481 -->
1482
1483<p>Daniel Cummings, Sharath Nittur Sridhar, Anthony Sarah, Maciej Szankin <br />
1484  <b> Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms </b> <br />
1485  Genetic and Evolutionary Computation Conference (GECCO) 2022. <br />
1486  <a href="https://arxiv.org/abs/2202.12934">[arXiv]</a> <a href="">[project]</a> 
1487  <a href="">[]</a></p>
1488
1489<!-- 
1490  <a href="https://arxiv.org/abs/2202.12934">[arXiv]</a>
1491
1492 -->
1493
1494<p>Daniel Cummings, Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Pablo Munoz, Sairam Sundaresan <br />
1495  <b> A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities </b> <br />
1496  Automated Machine Learning (AutoML) 2022. <br />
1497  <a href="https://arxiv.org/abs/2205.10358">[arXiv]</a> <a href="">[project]</a> 
1498  <a href="">[]</a></p>
1499
1500<!-- 
1501  <a href="https://arxiv.org/abs/2205.10358">[arXiv]</a>
1502
1503 -->
1504
1505<p>J. Pablo Munoz, Nikolay Lyalyushkin, Chaunté W. Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain <br />
1506  <b> Automated Super-Network Generation for Scalable Neural Architecture Search </b> <br />
1507  Automated Machine Learning (AutoML) 2022. <br />
1508  <a href="https://openreview.net/forum?id=HK-zmbTB8gq">[OpenReview]</a> <a href="">[project]</a> 
1509  <a href="">[]</a></p>
1510
1511<!-- 
1512  <a href="https://openreview.net/forum?id=HK-zmbTB8gq">[OpenReview]</a>
1513
1514 -->
1515
1516<p>Souvik Kundu, Sairam Sundaresan, M. Pedram, P. A. Beerel <br />
1517  <b> FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness </b> <br />
1518  ICLR 2022. <br />
1519  <a href="https://openreview.net/forum?id=MXrIVw-F_a4">[OpenReview]</a> <a href="">[project]</a> 
1520  <a href="">[]</a></p>
1521
1522<!-- 
1523  <a href="https://openreview.net/forum?id=MXrIVw-F_a4">[OpenReview]</a>
1524
1525 -->
1526
1527<p>Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, S Lu, H Tang, P. A. Beerel <br />
1528  <b> Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between  Accuracy and Robustness of DNNs </b> <br />
1529  International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022. <br />
1530  <a href="https://arxiv.org/abs/2302.03523">[arXiv]</a> <a href="">[project]</a> 
1531  <a href="">[]</a></p>
1532
1533<!-- 
1534  <a href="https://arxiv.org/abs/2302.03523">[arXiv]</a>
1535
1536 -->
1537
1538<h3 style="padding-bottom: 0px;margin-bottom: 0; text-align: center;">2021</h3>
1539<hr style="border: 2;height: 2px;width: 90%;" />
1540
1541<p>Souvik Kundu, Sairam Sundaresan <br />
1542  <b> AttentionLite: Towards Efficient Self-attention models for Vision </b> <br />
1543  International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021. <br />
1544  <a href="https://arxiv.org/abs/2101.05216">[arXiv]</a> <a href="">[project]</a> 
1545  <a href="">[]</a></p>
1546
1547<!-- 
1548  <a href="https://arxiv.org/abs/2101.05216">[arXiv]</a>
1549
1550 -->
1551
1552<p>Alicja Kwasniewska, Maciej Szankin, Jacek Ruminski, Anthony Sarah, David Gamba <br />
1553  <b> Improving Accuracy of Respiratory Rate Estimation by Restoring High Resolution Features With Transformers and Recursive Convolutional Models </b> <br />
1554  CVPRW 2021. <br />
1555  <a href="https://openaccess.thecvf.com/content/CVPR2021W/CVPM/html/Kwasniewska_Improving_Accuracy_of_Respiratory_Rate_Estimation_by_Restoring_High_Resolution_CVPRW_2021_paper.html">[CVF]</a> <a href="">[project]</a> 
1556  <a href="">[]</a></p>
1557
1558<!-- 
1559  <a href="https://openaccess.thecvf.com/content/CVPR2021W/CVPM/html/Kwasniewska_Improving_Accuracy_of_Respiratory_Rate_Estimation_by_Restoring_High_Resolution_CVPRW_2021_paper.html">[CVF]</a>
1560
1561 -->
1562
1563<p>
1563Sharath Nittur Sridhar, Anthony Sarah <br />
1564  <b> Undivided Attention: Are Intermediate Layers Necessary for BERT? </b> <br />
1565  NeurIPS 2021. <br />
1566  <a href="https://neurips2021-nlp.github.io/papers/33/CameraReady/Undivided_Attention_Neurips_Workshop_2021_CameraReady.pdf">[NeurIPS]</a> <a href="">[project]</a> 
1567  <a href="">[]</a></p>
1568
1569<!-- 
1570  <a href="https://neurips2021-nlp.github.io/papers/33/CameraReady/Undivided_Attention_Neurips_Workshop_2021_CameraReady.pdf">[NeurIPS]</a>
1571
1572 -->
1573
1574<p>Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth, Sudeshna Boro Saikia, Amanda Joy Camarata, Nathan Miles, Marcella Scoczynski, Mavis Stone, Anthony Sarah, Andres Munoz-Jaramillo, Ayris Narock, Adam Szabo <br />
1575  <b> Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures </b> <br />
1576  NeurIPS 2021. <br />
1577  <a href="https://ml4physicalsciences.github.io/2021/files/NeurIPS_ML4PS_2021_138.pdf">[NeurIPS]</a> <a href="">[project]</a> 
1578  <a href="">[]</a></p>
1579
1580<!-- 
1581  <a href="https://ml4physicalsciences.github.io/2021/files/NeurIPS_ML4PS_2021_138.pdf">[NeurIPS]</a>
1582
1583 -->
1584
1585<h3 style="padding-bottom: 0px;margin-bottom: 0; text-align: center;">2020</h3>
1586<hr style="border: 2;height: 2px;width: 90%;" />
1587
1588
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