Summary of Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in Rlhf, by Banghua Zhu et al.
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHFby Banghua Zhu, Michael I. Jordan,…
Summary of Tqcompressor: Improving Tensor Decomposition Methods in Neural Networks Via Permutations, by V. Abronin et al.
TQCompressor: improving tensor decomposition methods in neural networks via permutationsby V. Abronin, A. Naumov, D.…
Summary of Bayesian Optimization As a Flexible and Efficient Design Framework For Sustainable Process Systems, by Joel A. Paulson and Calvin Tsay
Bayesian optimization as a flexible and efficient design framework for sustainable process systemsby Joel A.…
Summary of Lil’hdoc: An Algorithm For Good Arm Identification Under Small Threshold Gap, by Tzu-hsien Tsai et al.
lil’HDoC: An Algorithm for Good Arm Identification under Small Threshold Gapby Tzu-Hsien Tsai, Yun-Da Tsai,…
Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
Sliced Wasserstein with Random-Path Projecting Directionsby Khai Nguyen, Shujian Zhang, Tam Le, Nhat HoFirst submitted…
Summary of Enhancing Topological Dependencies in Spatio-temporal Graphs with Cycle Message Passing Blocks, by Minho Lee et al.
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocksby Minho Lee, Yun Young…
Summary of Toward the Identifiability Of Comparative Deep Generative Models, by Romain Lopez et al.
Toward the Identifiability of Comparative Deep Generative Modelsby Romain Lopez, Jan-Christian Huetter, Ehsan Hajiramezanali, Jonathan…
Summary of Blockchain-enabled Trustworthy Federated Unlearning, by Yijing Lin et al.
Blockchain-enabled Trustworthy Federated Unlearningby Yijing Lin, Zhipeng Gao, Hongyang Du, Jinke Ren, Zhiqiang Xie, Dusit…
Summary of Mlem: Generative and Contrastive Learning As Distinct Modalities For Event Sequences, by Viktor Moskvoretskii et al.
MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequencesby Viktor Moskvoretskii, Dmitry Osin,…
Summary of Advnf: Reducing Mode Collapse in Conditional Normalising Flows Using Adversarial Learning, by Vikas Kanaujia and Mathias S. Scheurer and Vipul Arora
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learningby Vikas Kanaujia, Mathias S.…