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|7 Papers| 华为诺亚车道线检测方法；网络表示学习综述( 四 )


8. Task-Oriented Dialogue as Dataflow Synthesis. (from Jason Eisner, Dan Roth)
9. Structured Attention for Unsupervised Dialogue Structure Induction. (from Song-Chun Zhu)
10. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. (from Noah A. Smith)
本周 10 篇 CV 精选论文是：
1. Synthetic Convolutional Features for Improved Semantic Segmentation. (from Bernt Schiele)
2. PennSyn2Real: Training Object Recognition Models without Human Labeling. (from Camillo J. Taylor, Vijay Kumar)
3. Progressive Semantic-Aware Style Transformation for Blind Face Restoration. (from Lei Zhang)
4. 6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN. (from Harry Zhang)
5. Searching for Low-Bit Weights in Quantized Neural Networks. (from Dacheng Tao)
6. Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos. (from Jie Wu)
7. Scene Graph to Image Generation with Contextualized Object Layout Refinement. (from Lior Wolf)
8. Smartphone Camera De-identification while Preserving Biometric Utility. (from Arun Ross)
9. Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion. (from Marc Pollefeys)
10. Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks. (from Raymond Ng)
本周 10 篇 ML 精选论文是：
1. A Unifying Review of Deep and Shallow Anomaly Detection. (from Thomas G. Dietterich, Klaus-Robert Müller)
2. Text Classification with Novelty Detection. (from Bing Liu)
3. Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. (from Zheng Wang)
4. Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. (from Tomas Lozano-Perez, Leslie Pack Kaelbling)
5. Federated Learning with Nesterov Accelerated Gradient Momentum Method. (from Albert Y. Zomaya)
6. Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. (from Jonathan Krause)
7. Online AUC Optimization for Sparse High-Dimensional Datasets. (from Steven Skiena)
8. Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. (from Svetha Venkatesh)
9. A Contraction Approach to Model-based Reinforcement Learning. (from Peter J. Ramadge)
10. Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective. (from Yuanqing Xia)


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