Papers
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
David Reeb, Andreas Doerr, Sebastian Gerwinn et al.
Learning Gender-Neutral Word Embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li et al.
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, Yoshua Bengio et al.
Learning Generative ConvNets via Multi-Grid Modeling and Sampling
Ruiqi Gao, Yang Lu, Junpei Zhou et al.
Learning Generative Models with Sinkhorn Divergences
Aude Genevay, Gabriel Peyre, Marco Cuturi
Learning Globally Optimized Object Detector via Policy Gradient
Yongming Rao, Dahua Lin, Jiwen Lu et al.
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
Kejun Huang, Xiao Fu, Nicholas Sidiropoulos
Learning Hidden Quantum Markov Models
Siddarth Srinivasan, Geoff Gordon, Byron Boots
Learning Hierarchical Semantic Image Manipulation through Structured Representations
Seunghoon Hong, Xinchen Yan, Thomas S. Huang et al.
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences
Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni et al.
Learning How to Actively Learn: A Deep Imitation Learning Approach
Ming Liu, Wray Buntine, Gholamreza Haffari
Learning how to explain neural networks: PatternNet and PatternAttribution
Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber et al.
Learning Implicit Generative Models with the Method of Learned Moments
Suman Ravuri, Shakir Mohamed, Mihaela Rosca et al.
Learning Independent Causal Mechanisms
Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla et al.
Learning in Games with Lossy Feedback
Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey et al.
Learning in Integer Latent Variable Models with Nested Automatic Differentiation
Daniel Sheldon, Kevin Winner, Debora Sujono
Learning in Reproducing Kernel Kreı̆n Spaces
Dino Oglic, Thomas Gaertner
Learning Intelligent Dialogs for Bounding Box Annotation
Ksenia Konyushkova, Jasper Uijlings, Christoph H. Lampert et al.
Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data
Zack Hodari, Oliver Watts, Srikanth Ronanki et al.
Learning Intrinsic Image Decomposition From Watching the World
Zhengqi Li, Noah Snavely
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Wei Wen, Yuxiong He, Samyam Rajbhandari et al.
Learning Invariances using the Marginal Likelihood
Mark van der Wilk, Matthias Bauer, ST John et al.
Learning Joint Semantic Parsers from Disjoint Data
Hao Peng, Sam Thomson, Swabha Swayamdipta et al.
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
Ting Chen, Martin Renqiang Min, Yizhou Sun