Panda, Rameswar

57 publications

ICLR 2025 API Pack: A Massive Multi-Programming Language Dataset for API Call Generation Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda

ICLR 2025 Calibrating Expressions of Certainty Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M Wells, Tina Kapur, Polina Golland

ICLRW 2025 Diversity Measurement and Subset Selection for Instruction Tuning Datasets Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda

NeurIPS 2025 PaTH Attention: Position Encoding via Accumulating Householder Transformations Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim

ICLR 2025 Scaling Stick-Breaking Attention: An Efficient Implementation and In-Depth Study Shawn Tan, Songlin Yang, Aaron Courville, Rameswar Panda, Yikang Shen

ICLR 2025 Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogerio Feris, Alan Ritter

ICML 2024 Data Engineering for Scaling Language Models to 128k Context Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng

ICML 2024 Gated Linear Attention Transformers with Hardware-Efficient Training Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim

WACV 2024 Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogerio Feris, Kate Saenko

NeurIPS 2024 Reducing Transformer Key-Value Cache Size with Cross-Layer Attention William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley

TMLR 2024 XPL: A Cross-Model Framework for Semi-Supervised Prompt Learning in Vision-Language Models Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das

ICLR 2023 AnyDA: Anytime Domain Adaptation Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das

CVPR 2023 CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogerio Feris, Zsolt Kira

CVPR 2023 ConStruct-VL: Data-Free Continual Structured VL Concepts Learning James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David Cox, Diyi Yang, Zsolt Kira, Rogerio Feris, Leonid Karlinsky

ICML 2023 Data Efficient Neural Scaling Law via Model Reusing Peihao Wang, Rameswar Panda, Zhangyang Wang

NeurIPS 2023 Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky

NeurIPS 2023 Energy Transformer Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed Zaki, Dmitry Krotov

NeurIPSW 2023 Energy Transformer Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J Zaki, Dmitry Krotov

ICCV 2023 Going Beyond Nouns with Vision & Language Models Using Synthetic Data Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gul Varol, Aude Oliva, Vicente Ordonez, Rogerio Feris, Leonid Karlinsky

NeurIPS 2023 Learning Human Action Recognition Representations Without Real Humans Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogerio Feris

ICLR 2023 Learning to Grow Pretrained Models for Efficient Transformer Training Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim

ICCV 2023 MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogerio Feris, Hilde Kuehne, Horst Bischof

ICLR 2023 Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Huan Sun, Yoon Kim

WACV 2023 Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

WACV 2023 Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam

CVPR 2023 Teaching Structured Vision & Language Concepts to Vision & Language Models Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogerio Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky

ICLR 2022 Can an Image Classifier Suffice for Action Recognition? Quanfu Fan, Chun-Fu Chen, Rameswar Panda

NeurIPS 2022 FETA: Towards Specializing Foundational Models for Expert Task Applications Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter Staar, Kate Saenko, Rogerio Feris, Leonid Karlinsky

NeurIPS 2022 How Transferable Are Video Representations Based on Synthetic Data? Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogerio Feris

ICLR 2022 RegionViT: Regional-to-Local Attention for Vision Transformers Chun-Fu Chen, Rameswar Panda, Quanfu Fan

ICML 2022 Selective Regression Under Fairness Criteria Abhin Shah, Yuheng Bu, Joshua K Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W Wornell

CVPR 2022 Task2Sim: Towards Effective Pre-Training and Transfer from Synthetic Data Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogerio S. Feris

CVPR 2022 VALHALLA: Visual Hallucination for Machine Translation Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogerio S. Feris, David Cox, Nuno Vasconcelos

ICCV 2021 A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard Radke, Rogerio Feris

ICLR 2021 AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris

ICCV 2021 AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogerio Feris

NeurIPS 2021 Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das

ICCV 2021 CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification Chun-Fu Chen, Quanfu Fan, Rameswar Panda

CVPR 2021 Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition Chun-Fu Richard Chen, Rameswar Panda, Kandan Ramakrishnan, Rogerio Feris, John Cohn, Aude Oliva, Quanfu Fan

ICCV 2021 Detector-Free Weakly Supervised Grounding by Separation Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky

NeurIPS 2021 Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Richard J. Radke

ICCV 2021 Dynamic Network Quantization for Efficient Video Inference Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogerio Feris, Kate Saenko

ICML 2021 Fair Selective Classification via Sufficiency Joshua K Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W Wornell

NeurIPS 2021 IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogerio Feris, Aude Oliva

ICCV 2021 Multimodal Clustering Networks for Self-Supervised Learning from Unlabeled Videos Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie Boggust, Rameswar Panda, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Michael Picheny, Shih-Fu Chang

AAAI 2021 NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee

NeurIPSW 2021 Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

CVPR 2021 Semi-Supervised Action Recognition with Temporal Contrastive Learning Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

ICLR 2021 VA-RED$^2$: Video Adaptive Redundancy Reduction Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogerio Feris

ECCV 2020 AR-Net: Adaptive Frame Resolution for Efficient Action Recognition Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris

NeurIPS 2020 AdaShare: Learning What to Share for Efficient Deep Multi-Task Learning Ximeng Sun, Rameswar Panda, Rogerio Feris, Kate Saenko

ECCVW 2020 Mitigating Dataset Imbalance via Joint Generation and Classification Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das

CVPRW 2020 Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris

ECCV 2018 Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury

CVPR 2017 Collaborative Summarization of Topic-Related Videos Rameswar Panda, Amit K. Roy-Chowdhury

CVPR 2017 Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury

ICCV 2017 Weakly Supervised Summarization of Web Videos Rameswar Panda, Abir Das, Ziyan Wu, Jan Ernst, Amit K. Roy-Chowdhury