Representation Learning

Rehearsal Revealed: The Limits and Merits of Revisiting Samples in Continual Learning ICCV 2021 Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech Interspeech 2021 Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021 Reinforcement Learning with Prototypical Representations ICML 2021 Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs AAAI 2021 Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering CoNLL 2021 Relation-aware Graph Attention Model with Adaptive Self-adversarial Training AAAI 2021 Relative stability toward diffeomorphisms indicates performance in deep nets NeurIPS 2021 Relative Variational Intrinsic Control AAAI 2021 Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space NeurIPS 2021 RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding EACL 2021 Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter IJCAI 2021 RepGraph: Visualising and Analysing Meaning Representation Graphs EMNLP 2021 Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models NAACL 2021 Representation Costs of Linear Neural Networks: Analysis and Design NeurIPS 2021 Representation Learning Beyond Linear Prediction Functions NeurIPS 2021 Representation Learning for Event-based Visuomotor Policies NeurIPS 2021 Representation learning for improved interpretability and classification accuracy of clinical factors from EEG ICLR 2021 Representation Learning for Sequence Data with Deep Autoencoding Predictive Components ICLR 2021 Representation Learning From Videos In-the-Wild: An Object-Centric Approach WACV 2021 Representation Learning on Spatial Networks NeurIPS 2021 Representation Learning Through Latent Canonicalizations WACV 2021 Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems Interspeech 2021 Representation Learning via Global Temporal Alignment and Cycle-Consistency CVPR 2021 Representation Learning With Statistical Independence to Mitigate Bias WACV 2021