Gal Kaplun - RankMe

18 papers A* 7Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning. ICML Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham M. Kakade, Boaz Barak
2023	J	`jnl`	Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning. CoRR Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham M. Kakade, Boaz Barak
2023	J	`jnl`	Corgi^2: A Hybrid Offline-Online Approach To Storage-Aware Data Shuffling For SGD. CoRR Etay Livne, Gal Kaplun, Eran Malach, Shai Shalev-Schwatz
2023	A*	`conf`	Deconstructing Distributions: A Pointwise Framework of Learning. ICLR Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran
2023	J	`jnl`	SubTuning: Efficient Finetuning for Multi-Task Learning. CoRR Gal Kaplun, Andrey Gurevich, Tal Swisa, Mazor David, Shai Shalev-Shwartz, Eran Malach
2022	J	`jnl`	Deconstructing Distributions: A Pointwise Framework of Learning. CoRR Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran
2022	A*	`conf`	Knowledge Distillation: Bad Models Can Be Good Role Models. NeurIPS Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz
2022	J	`jnl`	Knowledge Distillation: Bad Models Can Be Good Role Models. CoRR Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz
2021	J	`jnl`	For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions. CoRR Nishanth Dikkala, Gal Kaplun, Rina Panigrahy
2021	A*	`conf`	For self-supervised learning, Rationality implies generalization, provably. ICLR Yamini Bansal, Gal Kaplun, Boaz Barak
2020	A*	`conf`	Deep Double Descent: Where Bigger Models and More Data Hurt. ICLR Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever
2020	J	`jnl`	For self-supervised learning, Rationality implies generalization, provably. CoRR Yamini Bansal, Gal Kaplun, Boaz Barak
2020	J	`jnl`	Robustness from Simple Classifiers. CoRR Sharon Qian, Dimitris Kalimeris, Gal Kaplun, Yaron Singer
2019	J	`jnl`	Deep Double Descent: Where Bigger Models and More Data Hurt. CoRR Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever
2019	A*	`conf`	Robust Influence Maximization for Hyperparametric Models. ICML Dimitris Kalimeris, Gal Kaplun, Yaron Singer
2019	J	`jnl`	Robust Influence Maximization for Hyperparametric Models. CoRR Dimitris Kalimeris, Gal Kaplun, Yaron Singer
2019	A*	`conf`	SGD on Neural Networks Learns Functions of Increasing Complexity. NeurIPS Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak
2019	J	`jnl`	SGD on Neural Networks Learns Functions of Increasing Complexity. CoRR Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak