Papers
Dialog Intent Induction with Deep Multi-View Clustering
Hugh Perkins, Yi Yang
Dialogue Act Classification with Context-Aware Self-Attention
Vipul Raheja, Joel Tetreault
Dialogue-Act Prediction of Future Responses Based on Conversation History
Koji Tanaka, Junya Takayama, Yuki Arase
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria et al.
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria et al.
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Ziming Li, Julia Kiseleva, Maarten de Rijke
Dialogue Natural Language Inference
Sean Welleck, Jason Weston, Arthur Szlam et al.
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika et al.
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha et al.
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte, Pascal Germain, Benjamin Guedj et al.
Dichromatic Model Based Temporal Color Constancy for AC Light Sources
Jun-Sang Yoo, Jong-Ok Kim
Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection
Tim Isbister, Fredrik Johansson
Dictionaries and Decision Trees for the 2019 CLPsych Shared Task
Micah Iserman, Taleen Nalabandian, Molly Ireland
Dictionary-Guided Editing Networks for Paraphrase Generation
Shaohan Huang, Yu Wu, Furu Wei et al.
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates
Jerome Revaud, Minhyeok Heo, Rafael S. Rezende et al.
DiffChaser: Detecting Disagreements for Deep Neural Networks
Xiaofei Xie, Lei Ma, Haijun Wang et al.
Diffeomorphic Temporal Alignment Nets
Ron A Shapira Weber, Matan Eyal, Nicki Skafte et al.
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
Lianwei Wu, Yuan Rao, Haolin Jin et al.
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
Lianwei Wu, Yuan Rao, Haolin Jin et al.
Differentiable Algorithm Networks for Composable Robot Learning
Peter Karkus, Xiao Ma, David Hsu et al.
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference
Mike Wu, Noah Goodman, Stefano Ermon
Differentiable Cloth Simulation for Inverse Problems
Junbang Liang, Ming Lin, Vladlen Koltun
Differentiable Convex Optimization Layers
Akshay Agrawal, Brandon Amos, Shane Barratt et al.
Differentiable Dynamic Normalization for Learning Deep Representation
Ping Luo, Peng Zhanglin, Shao Wenqi et al.
Differentiable Game Mechanics
Alistair Letcher, David Balduzzi, Sébastien Racanière et al.