Representation Learning

Adversarially Learning Disentangled Speech Representations for Robust Multi-Factor Voice Conversion Interspeech 2021 Adversarially Robust Low Dimensional Representations COLT 2021 Adversarial Permutation Guided Node Representations for Link Prediction AAAI 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 Adversarial Training Helps Transfer Learning via Better Representations NeurIPS 2021 A Fast and Robust Method for Global Topological Functional Optimization AISTATS 2021 A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR 2021 A Functional Perspective on Learning Symmetric Functions with Neural Networks ICML 2021 A Generative Framework for Simultaneous Machine Translation EMNLP 2021 Agent Modelling under Partial Observability for Deep Reinforcement Learning NeurIPS 2021 A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NeurIPS 2021 AggGen: Ordering and Aggregating while Generating ACL 2021 AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning CVPR 2021 A Graph-based Relevance Matching Model for Ad-hoc Retrieval AAAI 2021 A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow ACL 2021 A Hyperbolic-to-Hyperbolic Graph Convolutional Network CVPR 2021 AINet: Association Implantation for Superpixel Segmentation ICCV 2021 A Knowledge-Guided Framework for Frame Identification ACL 2021 ALADIN: All Layer Adaptive Instance Normalization for Fine-Grained Style Similarity ICCV 2021 A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning CVPR 2021 A Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems WACV 2021 Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction SemEval 2021 Algorithmic stability and generalization of an unsupervised feature selection algorithm NeurIPS 2021 A Light Stage on Every Desk ICCV 2021 Align before Fuse: Vision and Language Representation Learning with Momentum Distillation NeurIPS 2021