Abstract: Recently, the robustness of deep neural networks has drawn extensive attention due to the potential distribution shift between training and testing data (e.g., deep models trained on ...

In packet erasure networks, federated learning (FL) typically suffers more prohibitive communication overhead from massive retransmissions of high-dimensional gradients. As a result, recent studies ...

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

这项由腾讯混元视觉团队、清华大学、南洋理工大学及中国科学院联合完成的研究，以预印本形式发布于2026年6月25日，论文编号为arXiv:2606.27313，感兴趣的读者可通过该编号查询完整论文。

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.