Papers
11,951 papers found
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.
Using Real-Time Visual Biofeedback for Second Language Instruction
Shawn Nissen, Rebecca Nissen
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns
Yong Liu, Yujing Hu, Yang Gao et al.
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Chao Qu, Shie Mannor, Huan Xu 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 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.
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Guodong Zhang, Lala Li, Zachary Nado et al.
Whitening and Coloring Batch Transform for GANs
Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe
Wizard of Wikipedia: Knowledge-Powered Conversational Agents
Emily Dinan, Stephen Roller, Kurt Shuster et al.