representation learning

Action-based Representation Learning for Autonomous Driving CoRL 2020 Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020 Adaptive Adversarial Multi-task Representation Learning ICML 2020 Adaptive Domain-Aware Representation Learning for Speech Emotion Recognition Interspeech 2020 Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions AAAI 2020 A Deep Learning System for Sentiment Analysis of Service Calls ACL 2020 Adversarial Disentanglement with Grouped Observations AAAI 2020 Adversarial Learning for Robust Deep Clustering NeurIPS 2020 Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020 Adversarially Robust Representations with Smooth Encoders ICLR 2020 Adversarial Training for Code Retrieval with Question-Description Relevance Regularization EMNLP 2020 A Free-Energy Principle for Representation Learning ICML 2020 A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification EMNLP 2020 Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020 A Low Latency ASR-Free End to End Spoken Language Understanding System Interspeech 2020 A Metric Learning Approach to Misogyny Categorization ACL 2020 A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings COLING 2020 A Motion Taxonomy for Manipulation Embedding RSS 2020 Analysing Lexical Semantic Change with Contextualised Word Representations ACL 2020 Analyzing Redundancy in Pretrained Transformer Models EMNLP 2020 An Attention-Based Graph Neural Network for Heterogeneous Structural Learning AAAI 2020 An Auto-Encoder Strategy for Adaptive Image Segmentation MIDL 2020 An empirical investigation of neural methods for content scoring of science explanations ACL 2020 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020 An Explicitly Relational Neural Network Architecture ICML 2020