Representation Learning

Latent Tree Learning with Ordered Neurons: What Parses Does It Produce? EMNLP 2020 Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior AAAI 2020 Latent World Models For Intrinsically Motivated Exploration NeurIPS 2020 LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization COLING 2020 Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations EMNLP 2020 Layout-Aware Text Representations Harm Clustering Documents by Type EMNLP 2020 Learnable Group Transform For Time-Series ICML 2020 Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules CVPR 2020 Learned Video Compression via Joint Spatial-Temporal Correlation Exploration AAAI 2020 Learning a distance function with a Siamese network to localize anomalies in videos WACV 2020 Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization ICML 2020 Learning Agent Representations for Ice Hockey NeurIPS 2020 Learning and Evaluating Emotion Lexicons for 91 Languages ACL 2020 Learning and Interpreting Multi-Multi-Instance Learning Networks JMLR 2020 Learning a Neural 3D Texture Space From 2D Exemplars CVPR 2020 Learning a Neural Solver for Multiple Object Tracking CVPR 2020 Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles CoRL 2020 Learning an Unreferenced Metric for Online Dialogue Evaluation ACL 2020 Learning a Single Neuron with Gradient Methods COLT 2020 Learning Attentive Pairwise Interaction for Fine-Grained Classification AAAI 2020 Learning Autoencoders with Relational Regularization ICML 2020 Learning Better Speech Representations by Worsening Interference Interspeech 2020 Learning Causal Effects via Weighted Empirical Risk Minimization NeurIPS 2020 Learning Causal Networks via Additive Faithfulness JMLR 2020 Learning Certified Individually Fair Representations NeurIPS 2020