Summary of Moreaupruner: Robust Pruning Of Large Language Models Against Weight Perturbations, by Zixiao Wang et al.
MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbationsby Zixiao Wang, Jingwei Zhang, Wenqian…
Summary of Integrating Domain Knowledge For Handling Limited Data in Offline Rl, by Briti Gangopadhyay et al.
Integrating Domain Knowledge for handling Limited Data in Offline RLby Briti Gangopadhyay, Zhao Wang, Jia-Fong…
Summary of Augmenting Offline Rl with Unlabeled Data, by Zhao Wang et al.
Augmenting Offline RL with Unlabeled Databy Zhao Wang, Briti Gangopadhyay, Jia-Fong Yeh, Shingo TakamatsuFirst submitted…
Summary of Nonlinear Time-series Embedding by Monotone Variational Inequality, By Jonathan Y. Zhou et al.
Nonlinear time-series embedding by monotone variational inequalityby Jonathan Y. Zhou, Yao XieFirst submitted to arxiv…
Summary of Training Dynamics Of Nonlinear Contrastive Learning Model in the High Dimensional Limit, by Lineghuan Meng et al.
Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limitby Lineghuan Meng, Chuang…
Summary of Stable Minima Cannot Overfit in Univariate Relu Networks: Generalization by Large Step Sizes, By Dan Qiao et al.
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizesby Dan Qiao,…
Summary of Expressive Symbolic Regression For Interpretable Models Of Discrete-time Dynamical Systems, by Adarsh Iyer et al.
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systemsby Adarsh Iyer, Nibodh Boddupalli, Jeff…
Summary of Multivariate Stochastic Dominance Via Optimal Transport and Applications to Models Benchmarking, by Gabriel Rioux and Apoorva Nitsure and Mattia Rigotti and Kristjan Greenewald and Youssef Mroueh
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarkingby Gabriel Rioux, Apoorva Nitsure,…
Summary of A Statistical Theory Of Regularization-based Continual Learning, by Xuyang Zhao et al.
A Statistical Theory of Regularization-Based Continual Learningby Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei LinFirst…
Summary of Geometric Sparsification in Recurrent Neural Networks, by Wyatt Mackey et al.
Geometric sparsification in recurrent neural networksby Wyatt Mackey, Ioannis Schizas, Jared Deighton, David L. Boothe…