Summary of Efficientvit-sam: Accelerated Segment Anything Model Without Accuracy Loss, by Zhuoyang Zhang et al.
EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Lossby Zhuoyang Zhang, Han Cai, Song HanFirst submitted…
Summary of Navigating Complexity: Toward Lossless Graph Condensation Via Expanding Window Matching, by Yuchen Zhang and Tianle Zhang and Kai Wang and Ziyao Guo and Yuxuan Liang and Xavier Bresson and Wei Jin and Yang You
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matchingby Yuchen Zhang, Tianle Zhang, Kai…
Summary of A Sober Look at Llms For Material Discovery: Are They Actually Good For Bayesian Optimization Over Molecules?, by Agustinus Kristiadi et al.
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization…
Summary of Strong Convexity-guided Hyper-parameter Optimization For Flatter Losses, by Rahul Yedida et al.
Strong convexity-guided hyper-parameter optimization for flatter lossesby Rahul Yedida, Snehanshu SahaFirst submitted to arxiv on:…
Summary of Majority Kernels: An Approach to Leverage Big Model Dynamics For Efficient Small Model Training, by Hanna Mazzawi et al.
Majority Kernels: An Approach to Leverage Big Model Dynamics for Efficient Small Model Trainingby Hanna…
Summary of Salad-bench: a Hierarchical and Comprehensive Safety Benchmark For Large Language Models, by Lijun Li et al.
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Modelsby Lijun Li, Bowen Dong,…
Summary of Causal Representation Learning From Multiple Distributions: a General Setting, by Kun Zhang et al.
Causal Representation Learning from Multiple Distributions: A General Settingby Kun Zhang, Shaoan Xie, Ignavier Ng,…
Summary of Nito: Neural Implicit Fields For Resolution-free Topology Optimization, by Amin Heyrani Nobari et al.
NITO: Neural Implicit Fields for Resolution-free Topology Optimizationby Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter,…
Summary of Pac Learnability Under Explanation-preserving Graph Perturbations, by Xu Zheng et al.
PAC Learnability under Explanation-Preserving Graph Perturbationsby Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian…
Summary of Improved Off-policy Training Of Diffusion Samplers, by Marcin Sendera et al.
Improved off-policy training of diffusion samplersby Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca…