Papers
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 Human-Object Interactions by Graph Parsing Neural Networks
Siyuan Qi, Wenguan Wang, Baoxiong Jia 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
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo Mena, David Belanger, Scott Linderman et al.
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
Guanghui Qin, Jin-Ge Yao, Xuening Wang et al.
Learning Latent Subspaces in Variational Autoencoders
Jack Klys, Jake Snell, Richard Zemel
Learning Latent Super-Events to Detect Multiple Activities in Videos
AJ Piergiovanni, Michael S. Ryoo
Learning latent variable structured prediction models with Gaussian perturbations
Kevin Bello, Jean Honorio