Summary of Graph Neural Networks Gone Hogwild, by Olga Solodova et al.
Graph Neural Networks Gone Hogwildby Olga Solodova, Nick Richardson, Deniz Oktay, Ryan P. AdamsFirst submitted…
Graph Neural Networks Gone Hogwildby Olga Solodova, Nick Richardson, Deniz Oktay, Ryan P. AdamsFirst submitted…
VcLLM: Video Codecs are Secretly Tensor Codecsby Ceyu Xu, Yongji Wu, Xinyu Yang, Beidi Chen,…
Quantifying Spuriousness of Biased Datasets Using Partial Information Decompositionby Barproda Halder, Faisal Hamman, Pasan Dissanayake,…
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inferenceby Anton Xue, Avishree Khare, Rajeev Alur,…
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI…
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AIby Ilia Shumailov, Jamie…
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rulesby Lev V. Utkin, Andrei V.…
The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysisby…
Model Predictive Simulation Using Structured Graphical Models and Transformersby Xinghua Lou, Meet Dave, Shrinu Kushagra,…
The Remarkable Robustness of LLMs: Stages of Inference?by Vedang Lad, Wes Gurnee, Max TegmarkFirst submitted…