Representation Learning

Towards Detection and Remediation of Phonemic Confusion ACL 2021 Towards Diverse Paragraph Captioning for Untrimmed Videos CVPR 2021 Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering EMNLP 2021 Towards Generalized Implementation of Wasserstein Distance in GANs AAAI 2021 Towards Generating Summaries for Lexically Confusing Code through Code Erosion IJCAI 2021 Towards Impartial Multi-task Learning ICLR 2021 Towards Label-Agnostic Emotion Embeddings EMNLP 2021 Towards Layered Events and Schema Representations in Long Documents NAACL 2021 Towards Learning Spatially Discriminative Feature Representations ICCV 2021 Towards Multi-Scale Style Control for Expressive Speech Synthesis Interspeech 2021 Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding ICLR 2021 Towards Objectively Evaluating the Quality of Generated Medical Summaries EACL 2021 Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach NeurIPS 2021 Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach ICML 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 robust vision by multi-task learning on monkey visual cortex NeurIPS 2021 Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution AAAI 2021 Towards Sample-efficient Overparameterized Meta-learning NeurIPS 2021 Toward the creation of WordNets for ancient Indo-European languages EACL 2021 Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning ICML 2021 Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing AAAI 2021 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NeurIPS 2021 Tractable Regularization of Probabilistic Circuits NeurIPS 2021