Gal Kaplun

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Influence Maximization

Top Venues

Publications

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