Kumar, Saurabh

14 publications

CVPRW 2025 Compressed Domain Multiframe Processing Chengyu Wang, Jing Li, Saurabh Kumar, Seok-Jun Lee, Hamid R. Sheikh

ICLRW 2025 Conformal Transformations for Symmetric Power Transformers Saurabh Kumar, Jacob Buckman, Carles Gelada, Xiaowen Zhang

FnTML 2025 Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar, Henrik Marklund, Ashish Rao, Yifan Zhu, Hong Jun Jeon, Yueyang Liu, Benjamin Van Roy

ICLR 2025 Learning Continually by Spectral Regularization Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar, András György, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado

NeurIPS 2025 RESPIN-S1.0: A Read Speech Corpus of 10000+ Hours in Dialects of Nine Indian Languages Saurabh Kumar, Abhayjeet Singh, Deekshitha G, Amartyaveer, Jesuraj Bandekar, Savitha Murthy, Sumit Sharma, Sandhya Badiger, Sathvik Udupa, Amala Nagireddi, K M Srinivasa Raghavan, Rohan Saxena, Jai Nanavati, Raoul Nanavati, Janani Sridharan, Arjun Mehta, K S Ashish Khuraishi, Sai Praneeth Reddy Mora, Prashanthi Venkataramakrishnan, Gauri Date, Karthika P, Prasanta Kumar Ghosh

CoLLAs 2024 Maintaining Plasticity in Continual Learning via Regenerative Regularization Saurabh Kumar, Henrik Marklund, Benjamin Van Roy

ICML 2022 A Parametric Class of Approximate Gradient Updates for Policy Optimization Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans

ICML 2021 Characterizing the Gap Between Actor-Critic and Policy Gradient Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans

NeurIPS 2020 Gradient Surgery for Multi-Task Learning Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn

NeurIPS 2020 One Solution Is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar, Aviral Kumar, Sergey Levine, Chelsea Finn

ICCVW 2019 An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification Shivam Pande, Avinandan Banerjee, Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri

ICML 2019 DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare

ICML 2019 Statistics and Samples in Distributional Reinforcement Learning Mark Rowland, Robert Dadashi, Saurabh Kumar, Remi Munos, Marc G. Bellemare, Will Dabney

ECCVW 2018 Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep Learning Saurabh Kumar, Subhasis Chaudhuri, Biplab Banerjee, T. M. Feroz Ali