Summary of (de)-regularized Maximum Mean Discrepancy Gradient Flow, by Zonghao Chen et al.
(De)-regularized Maximum Mean Discrepancy Gradient Flowby Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur…
Summary of A General Framework Of the Consistency For Large Neural Networks, by Haoran Zhan et al.
A General Framework of the Consistency for Large Neural Networksby Haoran Zhan, Yingcun XiaFirst submitted…
Summary of A Generative Framework For Predictive Modeling Of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-optimized Graph Neural Network, by Julian Carvajal Rico et al.
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and…
Summary of Graph Similarity Regularized Softmax For Semi-supervised Node Classification, by Yiming Yang et al.
Graph Similarity Regularized Softmax for Semi-Supervised Node Classificationby Yiming Yang, Jun Liu, Wei WanFirst submitted…
Summary of Training Language Models to Self-correct Via Reinforcement Learning, by Aviral Kumar et al.
Training Language Models to Self-Correct via Reinforcement Learningby Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi…
Summary of Communication-efficient Federated Low-rank Update Algorithm and Its Connection to Implicit Regularization, by Haemin Park et al.
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularizationby Haemin Park, Diego KlabjanFirst…
Summary of Look Through Masks: Towards Masked Face Recognition with De-occlusion Distillation, by Chenyu Li and Shiming Ge and Daichi Zhang and Jia Li
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillationby Chenyu Li, Shiming Ge, Daichi…
Summary of Effects Of Common Regularization Techniques on Open-set Recognition, by Zachary Rabin et al.
Effects of Common Regularization Techniques on Open-Set Recognitionby Zachary Rabin, Jim Davis, Benjamin Lewis, Matthew…
Summary of Preventing Representational Rank Collapse in Mpnns by Splitting the Computational Graph, By Andreas Roth et al.
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graphby Andreas Roth, Franka Bause,…
Summary of Score Forgetting Distillation: a Swift, Data-free Method For Machine Unlearning in Diffusion Models, by Tianqi Chen et al.
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Modelsby Tianqi Chen,…