Kaushik Roy
42 papers · 2020–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Academic Marathon (6) π§ Keyword Pioneer π Conference Polyglot (10) π Renaissance Researcher (8)
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Renaissance Researcher
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Interdisciplinary Bridge
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Taxonomy Completionist
(81)
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Grand Slam
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Keyword Champion
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Century Club
(40)
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Keyword Collector
(178)
π₯
Unstoppable
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Prolific Year
(7)
Conferences
AAAI (8)
WACV (7)
ECCV (4)
EMNLP (4)
ICML (4)
CVPR (3)
ICCV (3)
ICLR (3)
NIPS (3)
NAACL (2)
EACL (1)
Top co-authors
Keywords
spiking neural network
(5)
catastrophic forgetting
(4)
continual learning
(4)
singular value decomposition
(3)
decentralized learning
(3)
heterogeneous datum
(2)
sequential learning
(2)
gradient projection
(2)
efficient computing
(2)
neural network optimization
(2)
low-rank approximation
(2)
knowledge distillation
(2)
deep neural network
(2)
language model
(2)
model compression
(2)
event camera
(2)
distributed learning
(2)
local learning
(2)
video understanding
(2)
membrane potential
(2)
Papers
Learning Unified Spatio-temporal Representations for Efficient Compressed Video Understanding
WACV 2026
Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning
WACV 2026
ELLA: Efficient Lifelong Learning for Adapters in Large Language Models
EACL 2026
In-Situ Eval: A Modular Framework for Custom and Real-Time RAG Benchmarking
AAAI 2026
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery
AAAI 2025
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
AAAI 2025
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals
ICML 2025
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning
ICCV 2025
Towards Memorization Estimation: Fast, Formal and Free
ICML 2025
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
ICLR 2025
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
WACV 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
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
EMNLP 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
NIPS 2024
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities
WACV 2024
Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data
WACV 2024
Unveiling Privacy, Memorization, and Input Curvature Links
ICML 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
EMNLP 2024
GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews
AAAI 2024
OPEL: Optimal Transport Guided ProcedurE Learning
NIPS 2024
Memorization Through the Lens of Curvature of Loss Function Around Samples
ICML 2024
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
NIPS 2023
Continual Learning with Scaled Gradient Projection
AAAI 2023
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case
AAAI 2023
Samples With Low Loss Curvature Improve Data Efficiency
CVPR 2023
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
EMNLP 2023
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
ICCV 2023
Saliency Guided Experience Packing for Replay in Continual Learning
WACV 2023
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts
NAACL 2022
Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts
NAACL 2022
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
AAAI 2022
Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning
ECCV 2022
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
AAAI 2022
Gradient Projection Memory for Continual Learning
ICLR 2021
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks
ICCV 2021
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
ECCV 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
ICLR 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
ECCV 2020
Deep Spiking Neural Network: Energy Efficiency Through Time based Coding
ECCV 2020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
CVPR 2020
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition
CVPR 2020