Deep Learning

Variational Noise-Contrastive Estimation AISTATS 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Variational Pretraining for Semi-supervised Text Classification ACL 2019 Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019 Variational Smoothing in Recurrent Neural Network Language Models ICLR 2019 Variational Structured Semantic Inference for Diverse Image Captioning NeurIPS 2019 Variational Temporal Abstraction NeurIPS 2019 VC Classes are Adversarially Robustly Learnable, but Only Improperly COLT 2019 VCWE: Visual Character-Enhanced Word Embeddings NAACL 2019 VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling EMNLP 2019 Verification of RNN-Based Neural Agent-Environment Systems AAAI 2019 Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach CVPR 2019 VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild CVPR 2019 Versatile Multiple Choice Learning and Its Application to Vision Computing CVPR 2019 Very Deep Self-Attention Networks for End-to-End Speech Recognition Interspeech 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NeurIPS 2019 Video Action Transformer Network CVPR 2019 Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM AAAI 2019 VideoBERT: A Joint Model for Video and Language Representation Learning ICCV 2019 Video Classification With Channel-Separated Convolutional Networks ICCV 2019 Video Compression With Rate-Distortion Autoencoders ICCV 2019 Video Dialog via Progressive Inference and Cross-Transformer EMNLP 2019 Video Generation From Single Semantic Label Map CVPR 2019 Video Inpainting by Jointly Learning Temporal Structure and Spatial Details AAAI 2019 VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability ICCV 2019