Deep Learning

ContraGAN: Contrastive Learning for Conditional Image Generation NeurIPS 2020 Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020 Contrastive Learning of Structured World Models ICLR 2020 Contrastive Learning with Adversarial Examples NeurIPS 2020 Contrastive Multi-View Representation Learning on Graphs ICML 2020 Contrastive Representation Distillation ICLR 2020 Contrastive Self-Supervised Learning for Commonsense Reasoning ACL 2020 Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization AAAI 2020 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020 Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies EMNLP 2020 Controllable Orthogonalization in Training DNNs CVPR 2020 Controllable Person Image Synthesis With Attribute-Decomposed GAN CVPR 2020 Controllable Text Generation with Focused Variation EMNLP 2020 Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data EMNLP 2020 Controlling generative models with continuous factors of variations ICLR 2020 Controlling Neural Machine Translation Formality with Synthetic Supervision AAAI 2020 Controlling the Amount of Verbatim Copying in Abstractive Summarization AAAI 2020 ControlVAE: Controllable Variational Autoencoder ICML 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NeurIPS 2020 Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions JMLR 2020 Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization ACML 2020 Conversational Document Prediction to Assist Customer Care Agents EMNLP 2020 Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks Interspeech 2020 Conversational Semantic Parsing EMNLP 2020 ConveRT: Efficient and Accurate Conversational Representations from Transformers EMNLP 2020