Feature Learning

Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval IJCAI 2020 High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020 Inducing Hierarchical Compositional Model by Sparsifying Generator Network CVPR 2020 Instance-wise Feature Grouping NeurIPS 2020 Intelligent Image Collection: Building the Optimal Dataset WACV 2020 Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning EMNLP 2020 Inverse Learning of Symmetries NeurIPS 2020 Kernel-based Approach for Learning Causal Graphs from Mixed Data PGM 2020 Kernel Conditional Moment Test via Maximum Moment Restriction UAI 2020 Label Enhancement with Sample Correlations via Low-Rank Representation AAAI 2020 Learning Deep Relations to Promote Saliency Detection AAAI 2020 Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NeurIPS 2020 Learning Interpretable Representations with Informative Entanglements IJCAI 2020 Learning of Discrete Graphical Models with Neural Networks NeurIPS 2020 Learning sparse codes from compressed representations with biologically plausible local wiring constraints NeurIPS 2020 Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition CVPR 2020 MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020 Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020 More Embeddings, Better Sequence Labelers? EMNLP 2020 Neural Deepfake Detection with Factual Structure of Text EMNLP 2020 Neural Implicit Embedding for Point Cloud Analysis CVPR 2020 On Front-End Gain Invariant Modeling for Wake Word Spotting Interspeech 2020 PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames CVPR 2020 PLLay: Efficient Topological Layer based on Persistent Landscapes NeurIPS 2020 Progressive Feature Polishing Network for Salient Object Detection AAAI 2020