Summary of Distributed Mcmc Inference For Bayesian Non-parametric Latent Block Model, by Reda Khoufache et al.
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Modelby Reda Khoufache, Anisse Belhadj, Hanene Azzag,…
Summary of Multiclass Learning From Noisy Labels For Non-decomposable Performance Measures, by Mingyuan Zhang et al.
Multiclass Learning from Noisy Labels for Non-decomposable Performance Measuresby Mingyuan Zhang, Shivani AgarwalFirst submitted to…
Summary of Expert Proximity As Surrogate Rewards For Single Demonstration Imitation Learning, by Chia-cheng Chiang et al.
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learningby Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang…
Summary of Control-theoretic Techniques For Online Adaptation Of Deep Neural Networks in Dynamical Systems, by Jacob G. Elkins and Farbod Fahimi
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systemsby Jacob G. Elkins,…
Summary of Animatelcm: Computation-efficient Personalized Style Video Generation Without Personalized Video Data, by Fu-yun Wang et al.
AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Databy Fu-Yun Wang, Zhaoyang Huang, Weikang…
Summary of Dense Reward For Free in Reinforcement Learning From Human Feedback, by Alex J. Chan et al.
Dense Reward for Free in Reinforcement Learning from Human Feedbackby Alex J. Chan, Hao Sun,…
Summary of Graph-mamba: Towards Long-range Graph Sequence Modeling with Selective State Spaces, by Chloe Wang et al.
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spacesby Chloe Wang, Oleksii Tsepa, Jun…
Summary of Croissantllm: a Truly Bilingual French-english Language Model, by Manuel Faysse et al.
CroissantLLM: A Truly Bilingual French-English Language Modelby Manuel Faysse, Patrick Fernandes, Nuno M. Guerreiro, António…
Summary of Human Expertise in Algorithmic Prediction, by Rohan Alur et al.
Human Expertise in Algorithmic Predictionby Rohan Alur, Manish Raghavan, Devavrat ShahFirst submitted to arxiv on:…
Summary of Llms Learn Governing Principles Of Dynamical Systems, Revealing An In-context Neural Scaling Law, by Toni J.b. Liu et al.
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling lawby Toni J.B.…