ICML 2020 實現代碼(7.1暫時整理10篇,會持續更新)

以下是AI研習社為大家整理的ICML 2020相關論文實現代碼,僅供大家參考。(暫時整理10篇,持續更新中…)

10.Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

實現代碼://github.com/binghong-ml/retro_star

論文地址:暫無

9.Learning De-biased Representations with Biased Representations

實現代碼://github.com/clovaai/rebias

論文地址://www.researchgate.net/publication/336316672_Learning_De-biased_Representations_with_Biased_Representations

8.Nonparametric Score Estimators

實現代碼://github.com/miskcoo/kscore

論文地址:暫無

7.Self-Supervised Prototypical Transfer Learning for Few-Shot Classification

實現代碼://github.com/indy-lab/ProtoTransfer

論文地址://arxiv.org/abs/2006.11325

6.Deep Coordination Graphs

實現代碼://github.com/wendelinboehmer/dcg

論文地址://arxiv.org/abs/1910.00091

5.Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

實現代碼://github.com/alex-petrenko/sample-factory

論文地址://arxiv.org/abs/2006.11751

4.PowerNorm: Rethinking Batch Normalization in Transformers

實現代碼://github.com/sIncerass/powernorm

論文地址://arxiv.org/abs/2003.07845

3.AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks

實現代碼://github.com/TAMU-VITA/AGD

論文地址://arxiv.org/abs/2006.08198

2.DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

實現代碼://github.com/EricSteinberger/DREAM

論文地址:暫無

1.On Leveraging Pretrained GANs for Limited-Data Generation

實現代碼://github.com/MiaoyunZhao/GANTransferLimitedData

論文地址:暫無