Part1 Graph related work
1. (NeurIPS 2020) Uncertainty Aware Semi-Supervised Learning on Graph Data
presentation:https://nips.cc/virtual/2020/protected/poster_968c9b4f09cbb7d7925f38aea3484111.html
paper:https://proceedings.neurips.cc/paper/2020/file/968c9b4f09cbb7d7925f38aea3484111-Paper.pdf
2. (NeurIPS 2020) Graph Random Neural Networks for Semi-Supervised Learning on Graphs
presentation:https://nips.cc/virtual/2020/protected/poster_fb4c835feb0a65cc39739320d7a51c02.html
paper:https://proceedings.neurips.cc/paper/2020/file/fb4c835feb0a65cc39739320d7a51c02-Paper.pdf
code: https://github.com/THUDM/GRAND
Part2 Uncertainty learning 1. (NeurIPS 2020) Uncertainty-aware Self-training for Few-shot Text Classification presentation:https://nips.cc/virtual/2020/protected/poster_f23d125da1e29e34c552f448610ff25f.html paper:https://proceedings.neurips.cc/paper/2020/file/f23d125da1e29e34c552f448610ff25f-Paper.pdf
Part3 FAU related work
1. (NeurIPS 2020) Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition
paper:https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Cui2020a.pdf