Summary of Supervised Algorithmic Fairness in Distribution Shifts: a Survey, by Minglai Shao et al.
Supervised Algorithmic Fairness in Distribution Shifts: A Surveyby Minglai Shao, Dong Li, Chen Zhao, Xintao…
Supervised Algorithmic Fairness in Distribution Shifts: A Surveyby Minglai Shao, Dong Li, Chen Zhao, Xintao…
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guaranteesby Ivan Y. Tyukin,…
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systemsby Jacob G. Elkins,…
An Experiment on Feature Selection using Logistic Regressionby Raisa Islam, Subhasish Mazumdar, Rakibul IslamFirst submitted…
Learning Label Hierarchy with Supervised Contrastive Learningby Ruixue Lian, William A. Sethares, Junjie HuFirst submitted…
Rank Supervised Contrastive Learning for Time Series Classificationby Qianying Ren, Dongsheng Luo, Dongjin SongFirst submitted…
LongAlign: A Recipe for Long Context Alignment of Large Language Modelsby Yushi Bai, Xin Lv,…
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learningby Haozhi Gao, Qianqian Ren, Jinbao…
Solving Boltzmann Optimization Problems with Deep Learningby Fiona Knoll, John T. Daly, Jess J. MeyerFirst…
H2O-Danube-1.8B Technical Reportby Philipp Singer, Pascal Pfeiffer, Yauhen Babakhin, Maximilian Jeblick, Nischay Dhankhar, Gabor Fodor,…