Deep Learning

Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks CoRL 2019 Learning Deep Priors for Image Dehazing ICCV 2019 Learning Deep Transformer Models for Machine Translation ACL 2019 Learning Dense Representations for Entity Retrieval CoNLL 2019 Learning Deviation Payoffs in Simulation-Based Games AAAI 2019 Learning Discrete Structures for Graph Neural Networks ICML 2019 Learning Discriminative Model Prediction for Tracking ICCV 2019 Learning Disentangled Representation for Robust Person Re-identification NeurIPS 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Learning Distributions Generated by One-Layer ReLU Networks NeurIPS 2019 Learning Document Embeddings with Crossword Prediction AAAI 2019 Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019 Learning dynamic polynomial proofs NeurIPS 2019 Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning NeurIPS 2019 Learning elementary structures for 3D shape generation and matching NeurIPS 2019 Learning Explicit and Implicit Structures for Targeted Sentiment Analysis EMNLP 2019 Learning Factorized Multimodal Representations ICLR 2019 Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning ICCV 2019 Learning Filter Basis for Convolutional Neural Network Compression ICCV 2019 Learning Finite State Representations of Recurrent Policy Networks ICLR 2019 Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization ICCV 2019 Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019 Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019