Summary of Mitigating the Impact Of Labeling Errors on Training Via Rockafellian Relaxation, by Louis L. Chen et al.
Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxationby Louis L. Chen, Bobbie…
Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxationby Louis L. Chen, Bobbie…
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoningby Costas Mavromatis, George KarypisFirst submitted to…
Occam Gradient Descentby B.N. KausikFirst submitted to arxiv on: 30 May 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
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ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflectionsby Massimo Bini, Karsten Roth, Zeynep Akata,…
Matrix Manifold Neural Networks++by Xuan Son Nguyen, Shuo Yang, Aymeric HistaceFirst submitted to arxiv on:…
Language Generation with Strictly Proper Scoring Rulesby Chenze Shao, Fandong Meng, Yijin Liu, Jie ZhouFirst…
A Canonicalization Perspective on Invariant and Equivariant Learningby George Ma, Yifei Wang, Derek Lim, Stefanie…
4-bit Shampoo for Memory-Efficient Network Trainingby Sike Wang, Pan Zhou, Jia Li, Hua HuangFirst submitted…
The Power of Next-Frame Prediction for Learning Physical Lawsby Thomas Winterbottom, G. Thomas Hudson, Daniel…