Papers
11,951 papers found
Diagnosing and Enhancing VAE Models
Bin Dai, David Wipf
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha et al.
Differentiable Learning-to-Normalize via Switchable Normalization
Ping Luo, Jiamin Ren, Zhanglin Peng et al.
Diffusion Scattering Transforms on Graphs
Fernando Gama, Alejandro Ribeiro, Joan Bruna
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
Marc T Law, Jake Snell, Amir-massoud Farahmand et al.
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Mohit Sharma, Arjun Sharma, Nicholas Rhinehart et al.
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na, Yo Joong Choe, Dong-Hyun Lee et al.
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi et al.
Discriminator Rejection Sampling
Samaneh Azadi, Catherine Olsson, Trevor Darrell et al.
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Yandong Wen, Mahmoud Al Ismail, Weiyang Liu et al.
DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS
Shoichiro Yamaguchi, Masanori Koyama
Distribution-Interpolation Trade off in Generative Models
Damian Leśniak, Igor Sieradzki, Igor Podolak
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards
Anmol Kagrecha, Jayakrishnan Nair, Krishna Jagannathan
Diversity and Depth in Per-Example Routing Models
Prajit Ramachandran, Quoc V. Le
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz et al.
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang, Seunghoon Hong, Yunseok Jang et al.
Do Deep Generative Models Know What They Don't Know?
Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh et al.
DOM-Q-NET: Grounded RL on Structured Language
Sheng Jia, Jamie Ryan Kiros, Jimmy Ba
Don't let your Discriminator be fooled
Brady Zhou, Philipp Krähenbühl
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Vitalii Zhelezniak, Aleksandar Savkov, April Shen et al.
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
Daehyun Ahn, Dongsoo Lee, Taesu Kim et al.
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
George Tucker, Dieterich Lawson, Shixiang Gu et al.
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im, Hae-Gon Jeon, Stephen Lin et al.
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
Xiaoshuai Zhang, Yiping Lu, Jiaying Liu et al.