Papers
11,015 papers found
Universal Transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals et al.
Unsupervised Adversarial Image Reconstruction
Arthur Pajot, Emmanuel de Bezenac, Patrick Gallinari
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni et al.
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu*, Zhijian Liu*, Chen Sun et al.
Unsupervised Domain Adaptation for Distance Metric Learning
Kihyuk Sohn, Wenling Shang, Xiang Yu et al.
Unsupervised Hyper-alignment for Multilingual Word Embeddings
Jean Alaux, Edouard Grave, Marco Cuturi et al.
Unsupervised Learning of the Set of Local Maxima
Lior Wolf, Sagie Benaim, Tomer Galanti
Unsupervised Learning via Meta-Learning
Kyle Hsu, Sergey Levine, Chelsea Finn
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu et al.
Value Propagation Networks
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin et al.
Variance Networks: When Expectation Does Not Meet Your Expectations
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha et al.
Variance Reduction for Reinforcement Learning in Input-Driven Environments
Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf et al.
Variational Autoencoders with Jointly Optimized Latent Dependency Structure
Jiawei He, Yu Gong, Joseph Marino et al.
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov, Michael Figurnov, Dmitry Vetrov
Variational Bayesian Phylogenetic Inference
Cheng Zhang, Frederick A. Matsen IV
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Xue Bin Peng, Angjoo Kanazawa, Sam Toyer et al.
Variational Smoothing in Recurrent Neural Network Language Models
Lingpeng Kong, Gabor Melis, Wang Ling et al.
Verification of Non-Linear Specifications for Neural Networks
Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue et al.
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
Daniel McDuff, Ashish Kapoor
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
Jose Oramas, Kaili Wang, Tinne Tuytelaars
Visual Reasoning by Progressive Module Networks
Seung Wook Kim, Makarand Tapaswi, Sanja Fidler
Visual Semantic Navigation using Scene Priors
Wei Yang, Xiaolong Wang, Ali Farhadi et al.
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
Sachin Kumar, Yulia Tsvetkov
Wasserstein Barycenter Model Ensembling
Pierre Dognin*, Igor Melnyk*, Youssef Mroueh* et al.
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen et al.