Summary of An In-depth Investigation Of Sparse Rate Reduction in Transformer-like Models, by Yunzhe Hu et al.
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Modelsby Yunzhe Hu, Difan Zou, Dong…
Summary of Interpretable Label-free Self-guided Subspace Clustering, by Ivica Kopriva
Interpretable label-free self-guided subspace clusteringby Ivica KoprivaFirst submitted to arxiv on: 26 Nov 2024CategoriesMain: Machine…
Summary of Can a Single Tree Outperform An Entire Forest?, by Qiangqiang Mao et al.
Can a Single Tree Outperform an Entire Forest?by Qiangqiang Mao, Yankai CaoFirst submitted to arxiv…
Summary of Fast, Precise Thompson Sampling For Bayesian Optimization, by David Sweet
Fast, Precise Thompson Sampling for Bayesian Optimizationby David SweetFirst submitted to arxiv on: 26 Nov…
Summary of Graph Structure Learning with Bi-level Optimization, by Nan Yin
Graph Structure Learning with Bi-level Optimizationby Nan YinFirst submitted to arxiv on: 26 Nov 2024CategoriesMain:…
Summary of Learning From Noisy Labels Via Conditional Distributionally Robust Optimization, by Hui Guo et al.
Learning from Noisy Labels via Conditional Distributionally Robust Optimizationby Hui Guo, Grace Y. Yi, Boyu…
Summary of Training a Neural Netwok For Data Reduction and Better Generalization, by Sylvain Sardy and Maxime Van Cutsem and Xiaoyu Ma
Training a neural netwok for data reduction and better generalizationby Sylvain Sardy, Maxime van Cutsem,…
Summary of In-context Experience Replay Facilitates Safety Red-teaming Of Text-to-image Diffusion Models, by Zhi-yi Chin et al.
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Modelsby Zhi-Yi Chin, Mario Fritz, Pin-Yu…
Summary of Curvature in the Looking-glass: Optimal Methods to Exploit Curvature Of Expectation in the Loss Landscape, by Jed A. Duersch et al.
Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscapeby…
Summary of Edit Away and My Face Will Not Stay: Personal Biometric Defense Against Malicious Generative Editing, by Hanhui Wang et al.
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editingby…