Summary of On a Neural Implementation Of Brenier’s Polar Factorization, by Nina Vesseron et al.
On a Neural Implementation of Brenier’s Polar Factorizationby Nina Vesseron, Marco CuturiFirst submitted to arxiv…
Summary of Emergent Equivariance in Deep Ensembles, by Jan E. Gerken and Pan Kessel
Emergent Equivariance in Deep Ensemblesby Jan E. Gerken, Pan KesselFirst submitted to arxiv on: 5…
Summary of G4-attention: Deep Learning Model with Attention For Predicting Dna G-quadruplexes, by Shrimon Mukherjee et al.
G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexesby Shrimon Mukherjee, Pulakesh Pramanik, Partha…
Summary of Data Collaboration Analysis with Orthonormal Basis Selection and Alignment, by Keiyu Nosaka et al.
Data Collaboration Analysis with Orthonormal Basis Selection and Alignmentby Keiyu Nosaka, Yuichi Takano, Akiko YoshiseFirst…
Summary of Semi-supervised Graph Representation Learning with Human-centric Explanation For Predicting Fatty Liver Disease, by So Yeon Kim et al.
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Diseaseby So Yeon Kim,…
Summary of Sofim: Stochastic Optimization Using Regularized Fisher Information Matrix, by Mrinmay Sen et al.
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrixby Mrinmay Sen, A. K. Qin, Gayathri C,…
Summary of Training Machine Learning Models at the Edge: a Survey, by Aymen Rayane Khouas et al.
Training Machine Learning models at the Edge: A Surveyby Aymen Rayane Khouas, Mohamed Reda Bouadjenek,…
Summary of Interactive Continual Learning: Fast and Slow Thinking, by Biqing Qi et al.
Interactive Continual Learning: Fast and Slow Thinkingby Biqing Qi, Xingquan Chen, Junqi Gao, Dong Li,…
Summary of Dirichlet-based Per-sample Weighting by Transition Matrix For Noisy Label Learning, By Heesun Bae et al.
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learningby HeeSun Bae, Seungjae Shin, Byeonghu…
Summary of Sok: Challenges and Opportunities in Federated Unlearning, by Hyejun Jeong et al.
SoK: Challenges and Opportunities in Federated Unlearningby Hyejun Jeong, Shiqing Ma, Amir HoumansadrFirst submitted to…