Feature Learning

Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators COLT 2022 Learning Quality-Aware Representation for Multi-Person Pose Regression AAAI 2022 Unsupervised Learning of Group Invariant and Equivariant Representations NeurIPS 2022 (AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network CVPR 2021 Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection CVPR 2021 Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity CVPR 2021 Improving Transformation Invariance in Contrastive Representation Learning ICLR 2021 Patch2Pix: Epipolar-Guided Pixel-Level Correspondences CVPR 2021 Pyramidal Feature Shrinking for Salient Object Detection AAAI 2021 Shape-based Feature Engineering for Solar Flare Prediction AAAI 2021 Augmenting Neural Metaphor Detection with Concreteness ACL 2020 Detecting Interactions from Neural Networks via Topological Analysis NeurIPS 2020 FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection AAAI 2020 HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language EMNLP 2020 Label Decoupling Framework for Salient Object Detection CVPR 2020 Measuring Forecasting Skill from Text ACL 2020 Progressive Feature Polishing Network for Salient Object Detection AAAI 2020 Relational Learning for Joint Head and Human Detection AAAI 2020 Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification ACML 2020 Feature-Wise Bias Amplification ICLR 2019 Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019 Interaction-Aware Factorization Machines for Recommender Systems AAAI 2019 Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification CVPR 2019 Batch Normalized Deep Boltzmann Machines ACML 2018 Learning from Between-class Examples for Deep Sound Recognition ICLR 2018