Summary of Asymptotics Of Feature Learning in Two-layer Networks After One Gradient-step, by Hugo Cui et al.
Asymptotics of feature learning in two-layer networks after one gradient-stepby Hugo Cui, Luca Pesce, Yatin…
Summary of Strong Convexity-guided Hyper-parameter Optimization For Flatter Losses, by Rahul Yedida et al.
Strong convexity-guided hyper-parameter optimization for flatter lossesby Rahul Yedida, Snehanshu SahaFirst submitted to arxiv on:…
Summary of Tighter Generalisation Bounds Via Interpolation, by Paul Viallard et al.
Tighter Generalisation Bounds via Interpolationby Paul Viallard, Maxime Haddouche, Umut Şimşekli, Benjamin GuedjFirst submitted to…
Summary of Explaining Learned Reward Functions with Counterfactual Trajectories, by Jan Wehner et al.
Explaining Learned Reward Functions with Counterfactual Trajectoriesby Jan Wehner, Frans Oliehoek, Luciano Cavalcante SiebertFirst submitted…
Summary of Codeit: Self-improving Language Models with Prioritized Hindsight Replay, by Natasha Butt et al.
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replayby Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado…
Summary of On Provable Length and Compositional Generalization, by Kartik Ahuja et al.
On Provable Length and Compositional Generalizationby Kartik Ahuja, Amin MansouriFirst submitted to arxiv on: 7…
Summary of Group Distributionally Robust Dataset Distillation with Risk Minimization, by Saeed Vahidian et al.
Group Distributionally Robust Dataset Distillation with Risk Minimizationby Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav…
Summary of Levi: Generalizable Fine-tuning Via Layer-wise Ensemble Of Different Views, by Yuji Roh et al.
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Viewsby Yuji Roh, Qingyun Liu, Huan Gui,…
Summary of Amortized Planning with Large-scale Transformers: a Case Study on Chess, by Anian Ruoss et al.
Amortized Planning with Large-Scale Transformers: A Case Study on Chessby Anian Ruoss, Grégoire Delétang, Sourabh…
Summary of Pres: Toward Scalable Memory-based Dynamic Graph Neural Networks, by Junwei Su et al.
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networksby Junwei Su, Difan Zou, Chuan WuFirst submitted…