representation learning

What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020 What is Learned in Visually Grounded Neural Syntax Acquisition ACL 2020 What Makes for Good Views for Contrastive Learning? NeurIPS 2020 What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models EMNLP 2020 When Does Self-Supervision Help Graph Convolutional Networks? ICML 2020 When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People? ACL 2020 Why bigger is not always better: on finite and infinite neural networks ICML 2020 You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings ICLR 2020 Zero Shot Learning with the Isoperimetric Loss AAAI 2020 ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT ACL 2020 ABD-Net: Attentive but Diverse Person Re-Identification ICCV 2019 A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019 A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning IJCAI 2019 A coupled autoencoder approach for multi-modal analysis of cell types NeurIPS 2019 Adaptive Neural Trees ICML 2019 Additive Compositionality of Word Vectors EMNLP 2019 Adversarial Decomposition of Text Representation NAACL 2019 Adversarial Learning With Margin-Based Triplet Embedding Regularization ICCV 2019 Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019 Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects NAACL 2019 Adversarial Unsupervised Representation Learning for Activity Time-Series AAAI 2019 AE2-Nets: Autoencoder in Autoencoder Networks CVPR 2019 Agent-based Decision Support for Pain Management in Primary Care Settings IJCAI 2019 A Geometric Perspective on Optimal Representations for Reinforcement Learning NeurIPS 2019 A Label Informative Wide & Deep Classifier for Patents and Papers EMNLP 2019