ML — Paper Notes

Representation learning, graphs, and general ML methods

2017

ICML-2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

ICML ML 2017-07-18 meta-learning

2020

NeurIPS-2020 Graph Contrastive Learning with Augmentations

NeurIPS ML 2020-12-06 contrastive-learning GNN

KDD-2020 GCC：Graph Contrastive Coding for Graph Neural Network Pre-Training

KDD ML 2020-08-20 contrastive-learning GNN

NeurIPS-2020 Deep Graph Contrastive Representation Learning

NeurIPS ML 2020-07-13 contrastive-learning GNN

arXiv-2020 Neural Subgraph Matching

arXiv ML 2020-07-03 GNN

ICML-2020 Contrastive Multi-View Representation Learning on Graphs

ICML ML 2020-06-13 contrastive-learning GNN

Transactions on Neural Networks and Learning Systems-2020 A Comprehensive Survey on Graph Neural Networks

Transactions on Neural Networks and Learning Systems ML 2020-03-24 GNN

2022

OpenAI-2022 Robust Speech Recognition via Large-Scale Weak Supervision

NeurIPS ML 2022-10-06 speech-recognition transformer

Stanford-2022 AI Index Report

Stanford ML 2022-03-02 other

Report: AI Index Report. Most statistics are drawn from Papers with Code. Because the report contains a large number of figures, individual screenshots are not included here.

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Yang Tan (谭扬)