Summary of Federated Lora with Sparse Communication, by Kevin Kuo et al.
Federated LoRA with Sparse Communicationby Kevin Kuo, Arian Raje, Kousik Rajesh, Virginia SmithFirst submitted to…
Summary of Automated Trustworthiness Testing For Machine Learning Classifiers, by Steven Cho and Seaton Cousins-baxter and Stefano Ruberto and Valerio Terragni
Automated Trustworthiness Testing for Machine Learning Classifiersby Steven Cho, Seaton Cousins-Baxter, Stefano Ruberto, Valerio TerragniFirst…
Summary of Efficient Differentially Private Fine-tuning Of Diffusion Models, by Jing Liu et al.
Efficient Differentially Private Fine-Tuning of Diffusion Modelsby Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons,…
Summary of Generative Modeling Of Density Regression Through Tree Flows, by Zhuoqun Wang et al.
Generative modeling of density regression through tree flowsby Zhuoqun Wang, Naoki Awaya, Li MaFirst submitted…
Summary of Behavior Structformer: Learning Players Representations with Structured Tokenization, by Oleg Smirnov et al.
Behavior Structformer: Learning Players Representations with Structured Tokenizationby Oleg Smirnov, Labinot PolisiFirst submitted to arxiv…
Summary of Vtrans: Accelerating Transformer Compression with Variational Information Bottleneck Based Pruning, by Oshin Dutta et al.
VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruningby Oshin Dutta, Ritvik Gupta, Sumeet…
Summary of Group-wise Oracle-efficient Algorithms For Online Multi-group Learning, by Samuel Deng et al.
Group-wise oracle-efficient algorithms for online multi-group learningby Samuel Deng, Daniel Hsu, Jingwen LiuFirst submitted to…
Summary of Optimal Eye Surgeon: Finding Image Priors Through Sparse Generators at Initialization, by Avrajit Ghosh et al.
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initializationby Avrajit Ghosh, Xitong Zhang,…
Summary of Extremization to Fine Tune Physics Informed Neural Networks For Solving Boundary Value Problems, by Abhiram Anand Thiruthummal et al.
Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problemsby Abhiram Anand…
Summary of Information Geometry Of Evolution Of Neural Network Parameters While Training, by Abhiram Anand Thiruthummal et al.
Information Geometry of Evolution of Neural Network Parameters While Trainingby Abhiram Anand Thiruthummal, Eun-jin Kim,…