Summary of Online Learning Of Halfspaces with Massart Noise, by Ilias Diakonikolas et al.
Online Learning of Halfspaces with Massart Noiseby Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos ZarifisFirst…
Summary of Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scale, by Shriram Chennakesavalu et al.
Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scaleby Shriram Chennakesavalu, Frank…
Summary of Can We Treat Noisy Labels As Accurate?, by Yuxiang Zheng et al.
Can We Treat Noisy Labels as Accurate?by Yuxiang Zheng, Zhongyi Han, Yilong Yin, Xin Gao,…
Summary of Exploring and Exploiting the Asymmetric Valley Of Deep Neural Networks, by Xin-chun Li et al.
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networksby Xin-Chun Li, Jin-Lin Tang, Bo…
Summary of Entropystop: Unsupervised Deep Outlier Detection with Loss Entropy, by Yihong Huang et al.
EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropyby Yihong Huang, Yuang Zhang, Liping Wang, Fan…
Summary of Mage: Model-level Graph Neural Networks Explanations Via Motif-based Graph Generation, by Zhaoning Yu and Hongyang Gao
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generationby Zhaoning Yu, Hongyang GaoFirst submitted…
Summary of Unleash Graph Neural Networks From Heavy Tuning, by Lequan Lin et al.
Unleash Graph Neural Networks from Heavy Tuningby Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang,…
Summary of Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Models, by Charles O’neill et al.
Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Modelsby Charles O'Neill, Thang BuiFirst…
Summary of Customtext: Customized Textual Image Generation Using Diffusion Models, by Shubham Paliwal et al.
CustomText: Customized Textual Image Generation using Diffusion Modelsby Shubham Paliwal, Arushi Jain, Monika Sharma, Vikram…
Summary of Uncertainty Quantification by Block Bootstrap For Differentially Private Stochastic Gradient Descent, By Holger Dette et al.
Uncertainty quantification by block bootstrap for differentially private stochastic gradient descentby Holger Dette, Carina GrawFirst…