Summary of Multi-objective Neural Architecture Search by Learning Search Space Partitions, By Yiyang Zhao et al.
Multi-Objective Neural Architecture Search by Learning Search Space Partitionsby Yiyang Zhao, Linnan Wang, Tian GuoFirst…
Summary of Decoop: Robust Prompt Tuning with Out-of-distribution Detection, by Zhi Zhou et al.
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detectionby Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo,…
Summary of Scalable Bayesian Learning with Posteriors, by Samuel Duffield et al.
Scalable Bayesian Learning with posteriorsby Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel SimpsonFirst…
Summary of Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection, by Sebastian Otte
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injectionby Sebastian OtteFirst submitted to arxiv…
Summary of Personalized Steering Of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization, by Yuanpu Cao et al.
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimizationby Yuanpu Cao,…
Summary of Improved Techniques For Optimization-based Jailbreaking on Large Language Models, by Xiaojun Jia et al.
Improved Techniques for Optimization-Based Jailbreaking on Large Language Modelsby Xiaojun Jia, Tianyu Pang, Chao Du,…
Summary of Exploratory Preference Optimization: Harnessing Implicit Q*-approximation For Sample-efficient Rlhf, by Tengyang Xie et al.
Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHFby Tengyang Xie, Dylan J. Foster, Akshay…
Summary of Recurrent Neural Networks: Vanishing and Exploding Gradients Are Not the End Of the Story, by Nicolas Zucchet et al.
Recurrent neural networks: vanishing and exploding gradients are not the end of the storyby Nicolas…
Summary of Pursuing Overall Welfare in Federated Learning Through Sequential Decision Making, by Seok-ju Hahn et al.
Pursuing Overall Welfare in Federated Learning through Sequential Decision Makingby Seok-Ju Hahn, Gi-Soo Kim, Junghye…
Summary of Online Convex Optimisation: the Optimal Switching Regret For All Segmentations Simultaneously, by Stephen Pasteris et al.
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneouslyby Stephen Pasteris, Chris Hicks,…