DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillationby Zhiqiang Shen, Ammar Sherif, Zeyuan Yin,…
Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Databy Chenguang Xiao, Shuo WangFirst…
CAdam: Confidence-Based Optimization for Online Learningby Shaowen Wang, Anan Liu, Jian Xiao, Huan Liu, Yuekui…
Risk-Averse Certification of Bayesian Neural Networksby Xiyue Zhang, Zifan Wang, Yulong Gao, Licio Romao, Alessandro…
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domainby Wenfang Sun, Yingjun Du, Gaowen Liu,…
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understandingby Wenbo Zhang, Lu Zhang, Ping Hu,…
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Modelsby Fusheng Liu, Qianxiao…
Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modelingby Qirui Wu, Denys Iliash, Daniel Ritchie, Manolis…
Puzzle: Distillation-Based NAS for Inference-Optimized LLMsby Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave…
Controlling Participation in Federated Learning with Feedbackby Michael Cummins, Guner Dilsad Er, Michael MuehlebachFirst submitted…