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…
Summary of Scalable and Effective Arithmetic Tree Generation For Adder and Multiplier Designs, by Yao Lai et al.
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designsby Yao Lai, Jinxin Liu,…
Summary of Non-stationary Domain Generalization: Theory and Algorithm, by Thai-hoang Pham et al.
Non-stationary Domain Generalization: Theory and Algorithmby Thai-Hoang Pham, Xueru Zhang, Ping ZhangFirst submitted to arxiv…
Summary of Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare, by Xingyu Li et al.
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcareby Xingyu Li, Lu Peng,…
Summary of Dp-dylora: Fine-tuning Transformer-based Models On-device Under Differentially Private Federated Learning Using Dynamic Low-rank Adaptation, by Jie Xu et al.
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptationby Jie…
Summary of Memory Mosaics, by Jianyu Zhang et al.
Memory Mosaicsby Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon BottouFirst submitted to arxiv…
Summary of Projection by Convolution: Optimal Sample Complexity For Reinforcement Learning in Continuous-space Mdps, By Davide Maran et al.
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPsby Davide Maran, Alberto…
Summary of Program Synthesis Using Inductive Logic Programming For the Abstraction and Reasoning Corpus, by Filipe Marinho Rocha et al.
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpusby Filipe Marinho Rocha,…
Summary of Visualizing Neural Network Imagination, by Nevan Wichers et al.
Visualizing Neural Network Imaginationby Nevan Wichers, Victor Tao, Riccardo Volpato, Fazl BarezFirst submitted to arxiv…
Summary of Pac-bayesian Generalization Bounds For Knowledge Graph Representation Learning, by Jaejun Lee et al.
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learningby Jaejun Lee, Minsung Hwang, Joyce Jiyoung WhangFirst…