Rameswar Panda
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
59
Venues
15
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
59 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | API Pack: A Massive Multi-Programming Language Dataset for API Call Generation. | Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda |
| 2025 | ICLR | 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, Rogrio Feris, Alan Ritter |
| 2025 | ICLR | Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study. | Shawn Tan, Songlin Yang, Aaron C. Courville, Rameswar Panda, Yikang Shen |
| 2025 | ICLR | Calibrating Expressions of Certainty. | Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland |
| 2024 | EMNLP | Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. | Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi |
| 2024 | ICML | Data Engineering for Scaling Language Models to 128K Context. | Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng |
| 2024 | ICML | Gated Linear Attention Transformers with Hardware-Efficient Training. | Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim |
| 2024 | ICPR | SITAR: Semi-supervised Image Transformer for Action Recognition. | Owais Iqbal, Omprakash Chakraborty, Aftab Hussain, Rameswar Panda, Abir Das |
| 2024 | NAACL | LangNav: Language as a Perceptual Representation for Navigation. | Bowen Pan, Rameswar Panda, SouYoung Jin, Rogrio Feris, Aude Oliva, Phillip Isola, Yoon Kim |
| 2024 | WACV | Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. | Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogrio Feris, Kate Saenko |
| 2023 | ACL | Synthetic Pre-Training Tasks for Neural Machine Translation. | Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogrio Feris |
| 2023 | CVPR | Teaching Structured Vision & Language Concepts to Vision & Language Models. | Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogrio Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky |
| 2023 | CVPR | ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. | James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogrio Feris, Leonid Karlinsky |
| 2023 | CVPR | 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, Rogrio Feris, Zsolt Kira |
| 2023 | ICCV | 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, Rogrio Feris, Hilde Kuehne, Horst Bischof |
| 2023 | ICCV | Going Beyond Nouns With Vision & Language Models Using Synthetic Data. | Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gl Varol, Aude Oliva, Vicente Ordonez, Rogrio Feris, Leonid Karlinsky |
| 2023 | ICLR | AnyDA: Anytime Domain Adaptation. | Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das |
| 2023 | ICLR | Learning to Grow Pretrained Models for Efficient Transformer Training. | Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogrio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim |
| 2023 | ICLR | Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. | Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogrio Feris, Huan Sun, Yoon Kim |
| 2023 | ICML | Data Efficient Neural Scaling Law via Model Reusing. | Peihao Wang, Rameswar Panda, Zhangyang Wang |
| 2023 | WACV | Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. | Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam |
| 2023 | WACV | Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. | Aadarsh Sahoo, Rameswar Panda, Rogrio Feris, Kate Saenko, Abir Das |
| 2022 | CVPR | VALHALLA: Visual Hallucination for Machine Translation. | Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogrio Feris, David D. Cox, Nuno Vasconcelos |
| 2022 | CVPR | Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. | Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogrio Schmidt Feris |
| 2022 | ICASSP | A Maximal Correlation Approach to Imposing Fairness in Machine Learning. | Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogrio Feris |
| 2022 | ICLR | RegionViT: Regional-to-Local Attention for Vision Transformers. | Chun-Fu Chen, Rameswar Panda, Quanfu Fan |
| 2022 | ICLR | Can an Image Classifier Suffice For Action Recognition? | Quanfu Fan, Chun-Fu Chen, Rameswar Panda |
| 2022 | ICML | Selective Regression under Fairness Criteria. | Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell |
| 2021 | AAAI | 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, Rogrio Feris, David S. Kung, Bishwaranjan Bhattacharjee |
| 2021 | CVPR | Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. | Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogrio Feris, John Cohn, Aude Oliva, Quanfu Fan |
| 2021 | CVPR | Semi-Supervised Action Recognition With Temporal Contrastive Learning. | Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogrio Feris, Kate Saenko, Abir Das |
| 2021 | ICCV | 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 M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogrio Feris, Leonid Karlinsky |
| 2021 | ICCV | CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. | Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda |
| 2021 | ICCV | Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. | Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogrio Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang |
| 2021 | ICCV | A Broad Study on the Transferability of Visual Representations with Contrastive Learning. | Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogrio Feris |
| 2021 | ICCV | AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. | Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | ICCV | Dynamic Network Quantization for Efficient Video Inference. | Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogrio Feris, Kate Saenko |
| 2021 | ICLR | AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. | Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | ICLR | VA-RED2: Video Adaptive Redundancy Reduction. | Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | ICML | Fair Selective Classification Via Sufficiency. | Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell |
| 2021 | Interspeech | Cascaded Multilingual Audio-Visual Learning from Videos. | Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogrio Feris, Brian Kingsbury, Michael Picheny, James R. Glass |
| 2021 | Interspeech | AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. | Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogrio Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass |
| 2020 | CVPR | Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning. | Sk Miraj Ahmed, Aske R. Lejblle, Rameswar Panda, Amit K. Roy-Chowdhury |
| 2020 | CVPR | Non-Adversarial Video Synthesis with Learned Priors. | Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury |
| 2020 | CVPR | Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. | Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogrio Feris |
| 2020 | ECCV | AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. | Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogrio Feris |
| 2020 | ECCV | Mitigating Dataset Imbalance via Joint Generation and Classification. | Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogrio Schmidt Feris, Abir Das |
| 2020 | MICCAI | Fairness of Classifiers Across Skin Tones in Dermatology. | Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney |
| 2018 | CVPR | FFNet: Video Fast-Forwarding via Reinforcement Learning. | Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury |
| 2018 | ECCV | Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. | Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury |
| 2017 | CVPR | Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks. | Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury |
| 2017 | CVPR | Collaborative Summarization of Topic-Related Videos. | Rameswar Panda, Amit K. Roy-Chowdhury |
| 2017 | ICASSP | Sparse modeling for topic-oriented video summarization. | Rameswar Panda, Amit K. Roy-Chowdhury |
| 2017 | ICCV | Weakly Supervised Summarization of Web Videos. | Rameswar Panda, Abir Das, Ziyan Wu, Jan Ernst, Amit K. Roy-Chowdhury |
| 2016 | ICIP | Embedded sparse coding for summarizing multi-view videos. | Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury |
| 2016 | ICPR | Video summarization in a multi-view camera network. | Rameswar Panda, Abir Das, Amit K. Roy-Chowdhury |
| 2015 | ICIP | Active image pair selection for continuous person re-identification. | Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury |
| 2014 | ICPR | Scalable Video Summarization Using Skeleton Graph and Random Walk. | Rameswar Panda, Sanjay K. Kuanar, Ananda S. Chowdhury |
| 2012 | ICPR | Video storyboard design using Delaunay graphs. | Ananda S. Chowdhury, Sanjay K. Kuanar, Rameswar Panda, Moloy N. Das |