Kumar, Akash

13 publications

COLT 2025 A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis Akash Kumar, Rahul Parhi, Mikhail Belkin

CVPRW 2025 A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning Akash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh S. Rawat

ECML-PKDD 2025 AB-STE: Adaptive Blended Gradient Estimation for Efficient Binarized Networks Siddharth Gupta, Akash Kumar

ICLR 2025 Contextual Self-Paced Learning for Weakly Supervised Spatio-Temporal Video Grounding Akash Kumar, Zsolt Kira, Yogesh S Rawat

ICCV 2025 MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective Weitian Wang, Rai Shubham, Cecilia De La Parra, Akash Kumar

CVPR 2025 STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding Aaryan Garg, Akash Kumar, Yogesh S Rawat

AAAI 2025 Stable Mean Teacher for Semi-Supervised Video Action Detection Akash Kumar, Sirshapan Mitra, Yogesh Singh Rawat

ICML 2025 The Complexity of Learning Sparse Superposed Features with Feedback Akash Kumar

AAAI 2024 Semi-Supervised Active Learning for Video Action Detection Ayush Singh, Aayush Jung Rana, Akash Kumar, Shruti Vyas, Yogesh Singh Rawat

ALT 2023 Robust Empirical Risk Minimization with Tolerance Robi Bhattacharjee, Max Hopkins, Akash Kumar, Hantao Yu, Kamalika Chaudhuri

CVPR 2022 End-to-End Semi-Supervised Learning for Video Action Detection Akash Kumar, Yogesh Singh Rawat

AISTATS 2021 The Teaching Dimension of Kernel Perceptron Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen

NeurIPS 2021 Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm Akash Kumar, Yuxin Chen, Adish Singla