Representation Learning

Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder NAACL 2021 Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks AAAI 2021 Interpretable Deep Generative Recommendation Models JMLR 2021 Interpreting Representation Quality of DNNs for 3D Point Cloud Processing NeurIPS 2021 Interpreting Super-Resolution Networks With Local Attribution Maps CVPR 2021 Interpreting Text Classifiers by Learning Context-sensitive Influence of Words NAACL 2021 Intriguing Properties of Contrastive Losses NeurIPS 2021 Introducing Orthogonal Constraint in Structural Probes ACL 2021 Invariant representation learning for treatment effect estimation UAI 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021 Inverse Problems Leveraging Pre-trained Contrastive Representations NeurIPS 2021 Invertible DenseNets with Concatenated LipSwish NeurIPS 2021 Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion Interspeech 2021 Investigating Voice Function Characteristics of Greek Speakers with Hearing Loss Using Automatic Glottal Source Feature Extraction Interspeech 2021 Investigating vulnerabilities of deep neural policies UAI 2021 ISD: Self-Supervised Learning by Iterative Similarity Distillation ICCV 2021 ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation ICCV 2021 IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization AAAI 2021 Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021 Item Response Ranking for Cognitive Diagnosis IJCAI 2021 Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning CVPR 2021 Iterative Utterance Segmentation for Neural Semantic Parsing AAAI 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 Jigsaw Clustering for Unsupervised Visual Representation Learning CVPR 2021 Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks AAAI 2021