representation learning

Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation ACL 2020 Biased Feature Learning for Occlusion Invariant Face Recognition IJCAI 2020 Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020 Biomedical Entity Representations with Synonym Marginalization ACL 2020 BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection ACL 2020 BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages Interspeech 2020 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NeurIPS 2020 Building Deep Equivariant Capsule Networks ICLR 2020 Building Location Embeddings from Physical Trajectories and Textual Representations AACL 2020 Building powerful and equivariant graph neural networks with structural message-passing NeurIPS 2020 Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification WACV 2020 Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020 Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory NeurIPS 2020 Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data CVPR 2020 Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments EMNLP 2020 Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations AAAI 2020 Channel Equilibrium Networks for Learning Deep Representation ICML 2020 Character aware models with similarity learning for metaphor detection ACL 2020 Characterizing emergent representations in a space of candidate learning rules for deep networks NeurIPS 2020 Charting the Right Manifold: Manifold Mixup for Few-shot Learning WACV 2020 CircleGAN: Generative Adversarial Learning across Spherical Circles NeurIPS 2020 Class-Discriminative Feature Embedding For Meta-Learning based Few-Shot Classification WACV 2020 Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax IJCAI 2020 Classifier Probes May Just Learn from Linear Context Features COLING 2020