Summary of Remove Symmetries to Control Model Expressivity and Improve Optimization, by Liu Ziyin et al.
Remove Symmetries to Control Model Expressivity and Improve Optimizationby Liu Ziyin, Yizhou Xu, Isaac ChuangFirst…
Remove Symmetries to Control Model Expressivity and Improve Optimizationby Liu Ziyin, Yizhou Xu, Isaac ChuangFirst…
Deep Learning to Predict Late-Onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (SHGS) Strategy…
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learningby Yifu Yuan, Zhenrui…
How Reliable are Causal Probing Interventions?by Marc Canby, Adam Davies, Chirag Rastogi, Julia HockenmaierFirst submitted…
Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Banditsby Woojin Jeong, Seungki MinFirst submitted…
SciLitLLM: How to Adapt LLMs for Scientific Literature Understandingby Sihang Li, Jin Huang, Jiaxi Zhuang,…
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillationby Lujun Gui, Bin Xiao,…
A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model for Variable…
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learningby Minjong Yoo, Sangwoo Cho, Honguk WooFirst…
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purificationby Yungi Cho, Woorim…