ACL-2019 Improving Robustness of Neural Machine Translation with Multi-task Learning

May 11 PaperNote CL Comments Word Count: 1k(words) Read Count: 3(minutes)

3.3 最简单也同样最常用的线性模型【stanford-cs329p】

May 10 stanford-cs329p Comments Word Count: 509(words) Read Count: 2(minutes)

3.2 最简单也最常用的决策树【stanford-cs329p】

May 10 stanford-cs329p Comments Word Count: 392(words) Read Count: 1(minutes)

Google-2022 Pathways：Asynchronous Distributed Dataflow for ML

May 10 PaperNote OS Comments Word Count: 1.5k(words) Read Count: 5(minutes)

ICML-2021 Is Space-Time Attention All You Need for Video Understanding

May 2 PaperNote CV Comments Word Count: 393(words) Read Count: 1(minutes)

ICCV-2019 SlowFast Networks for Video Recognition

May 2 PaperNote CV Comments Word Count: 285(words) Read Count: 1(minutes)

CVPR-2018 A Closer Look at Spatiotemporal Convolutions for Action Recognition

May 2 PaperNote CV Comments Word Count: 542(words) Read Count: 2(minutes)

CVPR-2018 Non-local Neural Networks

May 2 PaperNote CV Comments Word Count: 348(words) Read Count: 1(minutes)

ICCV-2015 Learning Spatiotemporal Features with 3D Convolutional Networks

May 2 PaperNote CV Comments Word Count: 363(words) Read Count: 1(minutes)

ICML-2020 Contrastive Multi-View Representation Learning on Graphs

Apr 28 PaperNote GNN Comments Word Count: 2.1k(words) Read Count: 7(minutes)