representation learning

Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021 Time-Frequency Representation Learning with Graph Convolutional Network for Dialogue-Level Speech Emotion Recognition Interspeech 2021 To Choose or to Fuse? Scale Selection for Crowd Counting AAAI 2021 TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NeurIPS 2021 TokenLearner: Adaptive Space-Time Tokenization for Videos NeurIPS 2021 Token-Level Supervised Contrastive Learning for Punctuation Restoration Interspeech 2021 Towards Domain-Agnostic Contrastive Learning ICML 2021 Towards Impartial Multi-task Learning ICLR 2021 Towards Label-Agnostic Emotion Embeddings EMNLP 2021 Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach NeurIPS 2021 Towards Realistic Few-Shot Relation Extraction EMNLP 2021 Towards Reusable Network Components by Learning Compatible Representations AAAI 2021 Towards Robust Bisimulation Metric Learning NeurIPS 2021 Towards Sample-efficient Overparameterized Meta-learning NeurIPS 2021 Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning ICML 2021 Training GANs with Stronger Augmentations via Contrastive Discriminator ICLR 2021 Transductive Few-Shot Classification on the Oblique Manifold ICCV 2021 Transformer Feed-Forward Layers Are Key-Value Memories EMNLP 2021 TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships WACV 2021 Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference ACL 2021 TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning EMNLP 2021 Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-Shot Learning WACV 2021 UIBert: Learning Generic Multimodal Representations for UI Understanding IJCAI 2021 Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning NeurIPS 2021 Uncertainty-Aware Multi-View Representation Learning AAAI 2021