7 Papers|谷歌等用神经网络给照片打光,沈向洋等神经语言处理综述( 四 )

10. COVID-19 therapy target discovery with context-aware literature mining. (from Nada Lavra?)
本周 10 篇 CV 精选论文是：
1. Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. (from Jitendra Malik)
2. Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. (from Frederik Barkhof, Daniel C. Alexander)
3. End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. (from Wolfram Burgard)
4. CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. (from Leonidas J. Guibas)
5. Weakly-Supervised Semantic Segmentation via Sub-category Exploration. (from Ming-Hsuan Yang)
6. Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. (from Ming-Hsuan Yang)
7. Learning to Factorize and Relight a City. (from Alexei A. Efros, Noah Snavely)
8. Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. (from Xiaogang Wang)
9. AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. (from Aude Oliva, Kate Saenko)
10. Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition. (from Vikas Kumar)
本周 10 篇 ML 精选论文是：
1. Bloom Origami Assays: Practical Group Testing. (from Bernhard Scholkopf)
2. A Survey on Concept Factorization: From Shallow to Deep Representation Learning. (from Yan Zhang, Shuicheng Yan)
3. Whole MILC: generalizing learned dynamics across tasks, datasets, and populations. (from Vince D. Calhoun)
4. Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations. (from George Em Karniadakis)
5. Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective. (from Yang Gao, Dinggang Shen)
6. Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications. (from Mérouane Debbah)
7. Graph Wasserstein Correlation Analysis for Movie Retrieval. (from Tong Zhang, Jian Yang)
8. The Strategic Perceptron. (from Avrim Blum)
9. Robust Reinforcement Learning using Adversarial Populations. (from Pieter Abbeel, Alexandre Bayen)
10. Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. (from Sun-Yuan Kung)