Kaushik Roy

ELLA: Efficient Lifelong Learning for Adapters in Large Language Models EACL 2026 Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026 In-Situ Eval: A Modular Framework for Custom and Real-Time RAG Benchmarking AAAI 2026 Learning Unified Spatio-temporal Representations for Efficient Compressed Video Understanding WACV 2026 CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning ICCV 2025 DCT-CryptoNets: Scaling Private Inference in the Frequency Domain ICLR 2025 LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization WACV 2025 LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models EMNLP 2025 PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery AAAI 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals ICML 2025 SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 Towards Memorization Estimation: Fast, Formal and Free ICML 2025 Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data WACV 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NeurIPS 2024 Eigen Attention: Attention in Low-Rank Space for KV Cache Compression EMNLP 2024 GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews AAAI 2024 HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities WACV 2024 Memorization Through the Lens of Curvature of Loss Function Around Samples ICML 2024 OPEL: Optimal Transport Guided ProcedurE Learning NeurIPS 2024 Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024 Unveiling Privacy, Memorization, and Input Curvature Links ICML 2024 Continual Learning with Scaled Gradient Projection AAAI 2023 Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case AAAI 2023 Event-based Temporally Dense Optical Flow Estimation with Sequential Learning ICCV 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 Saliency Guided Experience Packing for Replay in Continual Learning WACV 2023 Samples With Low Loss Curvature Improve Data Efficiency CVPR 2023 Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model EMNLP 2023 Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts NAACL 2022 Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing AAAI 2022 Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts NAACL 2022 Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning AAAI 2022 Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning ECCV 2022 DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks ICCV 2021 Gradient Projection Memory for Continual Learning ICLR 2021 Deep Spiking Neural Network: Energy Efficiency Through Time based Coding ECCV 2020 Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation ICLR 2020 Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations ECCV 2020 RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network CVPR 2020 Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks ECCV 2020 Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition CVPR 2020