Summary of Calibrated Self-rewarding Vision Language Models, by Yiyang Zhou et al.
Calibrated Self-Rewarding Vision Language Modelsby Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen,…
Summary of U-tell: Unsupervised Task Expert Lifelong Learning, by Indu Solomon et al.
U-TELL: Unsupervised Task Expert Lifelong Learningby Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath…
Summary of Bounds For the Smallest Eigenvalue Of the Ntk For Arbitrary Spherical Data Of Arbitrary Dimension, by Kedar Karhadkar et al.
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimensionby…
Summary of Dlpo: Diffusion Model Loss-guided Reinforcement Learning For Fine-tuning Text-to-speech Diffusion Models, by Jingyi Chen et al.
DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Modelsby Jingyi Chen, Ju-Seung Byun,…
Summary of Lagrangian Neural Networks For Reversible Dissipative Evolution, by Veera Sundararaghavan and Megna N. Shah and Jeff P. Simmons
Lagrangian Neural Networks for Reversible Dissipative Evolutionby Veera Sundararaghavan, Megna N. Shah, Jeff P. SimmonsFirst…
Summary of Phinets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis, by Satoki Ishikawa et al.
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesisby Satoki Ishikawa, Makoto Yamada, Han Bao,…
Summary of Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions, by Marshal Arijona Sinaga and Julien Martinelli and Vikas Garg and Samuel Kaski
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributionsby Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg,…
Summary of Efficiency For Free: Ideal Data Are Transportable Representations, by Peng Sun et al.
Efficiency for Free: Ideal Data Are Transportable Representationsby Peng Sun, Yi Jiang, Tao LinFirst submitted…
Summary of Fisher Flow Matching For Generative Modeling Over Discrete Data, by Oscar Davis et al.
Fisher Flow Matching for Generative Modeling over Discrete Databy Oscar Davis, Samuel Kessler, Mircea Petrache,…
Summary of Overcoming the Challenges Of Batch Normalization in Federated Learning, by Rachid Guerraoui et al.
Overcoming the Challenges of Batch Normalization in Federated Learningby Rachid Guerraoui, Rafael Pinot, Geovani Rizk,…