Summary of Deep Mmd Gradient Flow Without Adversarial Training, by Alexandre Galashov et al.
Deep MMD Gradient Flow without adversarial trainingby Alexandre Galashov, Valentin de Bortoli, Arthur GrettonFirst submitted…
Deep MMD Gradient Flow without adversarial trainingby Alexandre Galashov, Valentin de Bortoli, Arthur GrettonFirst submitted…
Non-stationary Domain Generalization: Theory and Algorithmby Thai-Hoang Pham, Xueru Zhang, Ping ZhangFirst submitted to arxiv…
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysisby Luyuan…
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptationby Jie…
Memory Mosaicsby Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon BottouFirst submitted to arxiv…
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpusby Filipe Marinho Rocha,…
Visualizing Neural Network Imaginationby Nevan Wichers, Victor Tao, Riccardo Volpato, Fazl BarezFirst submitted to arxiv…
Generalization analysis with deep ReLU networks for metric and similarity learningby Junyu Zhou, Puyu Wang,…
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learningby Jaejun Lee, Minsung Hwang, Joyce Jiyoung WhangFirst…
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecastingby Tianxiang Zhan, Yuanpeng He,…