Representation Learning

Robust Disentanglement of a Few Factors at a Time using rPU-VAE NeurIPS 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 Robust large-margin learning in hyperbolic space NeurIPS 2020 Robust Learning Through Cross-Task Consistency CVPR 2020 Robust Multi-View Representation Learning (Student Abstract) AAAI 2020 Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis ICML 2020 Robust Persistence Diagrams using Reproducing Kernels NeurIPS 2020 Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation CoRL 2020 Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations Interspeech 2020 Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing NeurIPS 2020 Robust Subspace Recovery Layer for Unsupervised Anomaly Detection ICLR 2020 Rotation-invariant clustering of neuronal responses in primary visual cortex ICLR 2020 Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud NeurIPS 2020 Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation WACV 2020 RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor NeurIPS 2020 RTM Ensemble Learning Results at Quality Estimation Task EMNLP 2020 Rule-Guided Compositional Representation Learning on Knowledge Graphs AAAI 2020 S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency CoRL 2020 S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020 SAL: Sign Agnostic Learning of Shapes From Raw Data CVPR 2020 Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance CVPR 2020 Sample Amplification: Increasing Dataset Size even when Learning is Impossible ICML 2020 Sample complexity and effective dimension for regression on manifolds NeurIPS 2020 Sampling-Decomposable Generative Adversarial Recommender NeurIPS 2020 SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning CoRL 2020