Rameswar Panda

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