Summary of Regret Minimization Via Saddle Point Optimization, by Johannes Kirschner et al.
Regret Minimization via Saddle Point Optimizationby Johannes Kirschner, Seyed Alireza Bakhtiari, Kushagra Chandak, Volodymyr Tkachuk,…
Summary of Block Verification Accelerates Speculative Decoding, by Ziteng Sun et al.
Block Verification Accelerates Speculative Decodingby Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Ahmad Beirami,…
Summary of Approximate Nullspace Augmented Finetuning For Robust Vision Transformers, by Haoyang Liu et al.
Approximate Nullspace Augmented Finetuning for Robust Vision Transformersby Haoyang Liu, Aditya Singh, Yijiang Li, Haohan…
Summary of Anytime Neural Architecture Search on Tabular Data, by Naili Xing et al.
Anytime Neural Architecture Search on Tabular Databy Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin…
Summary of Ad3: Implicit Action Is the Key For World Models to Distinguish the Diverse Visual Distractors, by Yucen Wang et al.
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractorsby…
Summary of Unified Projection-free Algorithms For Adversarial Dr-submodular Optimization, by Mohammad Pedramfar et al.
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimizationby Mohammad Pedramfar, Yididiya Y. Nadew, Christopher J. Quinn,…
Summary of Multi-fidelity Bayesian Optimization with Across-task Transferable Max-value Entropy Search, by Yunchuan Zhang et al.
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Searchby Yunchuan Zhang, Sangwoo Park, Osvaldo SimeoneFirst…
Summary of Make-your-3d: Fast and Consistent Subject-driven 3d Content Generation, by Fangfu Liu et al.
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generationby Fangfu Liu, Hanyang Wang, Weiliang Chen, Haowen…
Summary of Towards Model-agnostic Posterior Approximation For Fast and Accurate Variational Autoencoders, by Yaniv Yacoby et al.
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencodersby Yaniv Yacoby, Weiwei Pan, Finale…
Summary of Learning From Straggler Clients in Federated Learning, by Andrew Hard et al.
Learning from straggler clients in federated learningby Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean…