← Authors

Rameswar Panda

58 papers · 2017–2025 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (93) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (26) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (32) πŸ”¬ Deep Specialist (10) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (203) πŸ’Ž Century Club (58) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) ❓ The Questioner (2) ⚑ Prolific Year (6) πŸš€ Conference Pioneer

Conferences

CVPR (12) ICLR (11) NIPS (10) ICCV (9) ICML (5) WACV (3) ECCV (2) INTERSPEECH (2) AAAI (1) ACL (1) EMNLP (1) NAACL (1)

Top co-authors

Rogerio Feris (32) Leonid Karlinsky (18) Kate Saenko (14) Aude Oliva (12) Chun-Fu (Richard) Chen (8) Hilde Kuehne (7) Amit K. Roy-Chowdhury (7) Yoon Kim (6) Assaf Arbelle (6) Abir Das (5)

Keywords

transfer learning (10) domain adaptation (7) self-supervised learning (5) knowledge distillation (5) video understanding (4) contrastive learning (4) synthetic datum (4) zero-shot learning (4) vision transformer (3) vision language model (3) action recognition (3) video recognition (3) video retrieval (3) large language model (3) multi-task learning (2) semi-supervised learning (2) cross-lingual transfer (2) neural machine translation (2) multimodal learning (2) representation learning (2)

Papers

API Pack: A Massive Multi-Programming Language Dataset for API Call Generation ICLR 2025
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study ICLR 2025
Calibrating Expressions of Certainty ICLR 2025
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts ICLR 2025
Data Engineering for Scaling Language Models to 128K Context ICML 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NIPS 2024
Improved Techniques for Quantizing Deep Networks With Adaptive Bit-Widths WACV 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks EMNLP 2024
LangNav: Language as a Perceptual Representation for Navigation NAACL 2024
Gated Linear Attention Transformers with Hardware-Efficient Training ICML 2024
Synthetic Pre-Training Tasks for Neural Machine Translation ACL 2023
Going Beyond Nouns With Vision & Language Models Using Synthetic Data ICCV 2023
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge ICCV 2023
Semi-Supervised Domain Adaptation With Auto-Encoder via Simultaneous Learning WACV 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ICLR 2023
AnyDA: Anytime Domain Adaptation ICLR 2023
Learning to Grow Pretrained Models for Efficient Transformer Training ICLR 2023
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation WACV 2023
Energy Transformer NIPS 2023
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning CVPR 2023
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning CVPR 2023
Teaching Structured Vision & Language Concepts to Vision & Language Models CVPR 2023
Data Efficient Neural Scaling Law via Model Reusing ICML 2023
Learning Human Action Recognition Representations Without Real Humans NIPS 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models NIPS 2023
FETA: Towards Specializing Foundational Models for Expert Task Applications NIPS 2022
Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data CVPR 2022
VALHALLA: Visual Hallucination for Machine Translation CVPR 2022
RegionViT: Regional-to-Local Attention for Vision Transformers ICLR 2022
Selective Regression under Fairness Criteria ICML 2022
Can an Image Classifier Suffice For Action Recognition? ICLR 2022
How Transferable are Video Representations Based on Synthetic Data? NIPS 2022
VA-RED$^2$: Video Adaptive Redundancy Reduction ICLR 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data NIPS 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing NIPS 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers NIPS 2021
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search AAAI 2021
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition CVPR 2021
Semi-Supervised Action Recognition With Temporal Contrastive Learning CVPR 2021
A Broad Study on the Transferability of Visual Representations With Contrastive Learning ICCV 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition ICCV 2021
Detector-Free Weakly Supervised Grounding by Separation ICCV 2021
Multimodal Clustering Networks for Self-Supervised Learning From Unlabeled Videos ICCV 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification ICCV 2021
Dynamic Network Quantization for Efficient Video Inference ICCV 2021
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition ICLR 2021
Fair Selective Classification Via Sufficiency ICML 2021
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos INTERSPEECH 2021
Cascaded Multilingual Audio-Visual Learning from Videos INTERSPEECH 2021
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NIPS 2020
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition ECCV 2020
Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning CVPR 2020
Non-Adversarial Video Synthesis With Learned Priors CVPR 2020
FFNet: Video Fast-Forwarding via Reinforcement Learning CVPR 2018
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias ECCV 2018
Weakly Supervised Summarization of Web Videos ICCV 2017
Collaborative Summarization of Topic-Related Videos CVPR 2017
Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks CVPR 2017