No 1. 【用大规模深度强化学习挑战Dota 2:OpenAI Five 如何打败世界冠军(Team OG)】
No 2. 《UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation》
No 3. 《Recurrent Neural Networks (RNNs): A gentle Introduction and Overview》
No 4. 【来了~ PS强化学习环境】
No 5. 《From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions》
No 6. 《Towards Explainable Deep Neural Networks (xDNN)》
No 7. 《Image Processing Using Multi-Code GAN Prior》
No 8. 《Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection》
No 9. 《Encoding Musical Style with Transformer Autoencoders》
No 10. 《Finding Missing Children: Aging Deep Face Features》
No 11. 《The Wasserstein-Fourier Distance for Stationary Time Series》
No 12. 《YOLACT++: Better Real-time Instance Segmentation》
No 13. 《Music-oriented Dance Video Synthesis with Pose Perceptual Loss》
No 14. 《Measuring Social Bias in Knowledge Graph Embeddings》
No 15. 《Asymmetric Generative Adversarial Networks for Image-to-Image Translation》
No 16. 《ManiGAN: Text-Guided Image Manipulation》
No 17. 《Inducing Relational Knowledge from BERT》
No 18. 《CG-GAN: An Interactive Evolutionary GAN-based Approach for Facial Composite Generation)》
No 19. 《Optimization for deep learning: theory and algorithms》
No 20. 《The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019)》
No 21. 《Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis》
No 22. 《A Deep Neural Network’s Loss Surface Contains Every Low-dimensional Pattern》
No 23. 《UNAS: Differentiable Architecture Search Meets Reinforcement Learning》
No 24. 《DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data》
No 25. 《Neural Voice Puppetry: Audio-driven Facial Reenactment》
No 26. 《More Data Can Hurt for Linear Regression: Sample-wise Double Descent》
No 27. 《Unconstrained Facial Expression Transfer using Style-based Generator》
No 28. 《Optimizing Rank-based Metrics with Blackbox Differentiation》
No 29. 《Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach》
No 30. 《Learning To Reach Goals Without Reinforcement Learning》