Papers
Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng, Siva Reddy, Vijay Saraswat et al.
Learning Structured Weight Uncertainty in Bayesian Neural Networks
Shengyang Sun, Changyou Chen, Lawrence Carin
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
He He, Anusha Balakrishnan, Mihail Eric et al.
Learning Synchronous Grammar Patterns for Assisted Writing for Second Language Learners
Chi-En Wu, Jhih-Jie Chen, Jim Chang et al.
Learning Texture Manifolds with the Periodic Spatial GAN
Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding From Fashion Images
Wei-Lin Hsiao, Kristen Grauman
Learning the Mapping Function from Voltage Amplitudes to Sensor Positions in 3D-EMA Using Deep Neural Networks
Christian Kroos, Mark D. Plumbley
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
Mainak Jas, Tom Dupré la Tour, Umut Simsekli et al.
Learning the Multilinear Structure of Visual Data
Mengjiao Wang, Yannis Panagakis, Patrick Snape et al.
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields
Youngsuk Park, David Hallac, Stephen Boyd et al.
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems
Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik et al.
Learning Theory for Conditional Risk Minimization
Alexander Zimin, Christoph Lampert
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network
Zheng-Chu Guo, Lei Shi, Qiang Wu
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach, Bryan He, Alexander Ratner et al.
Learning the Structure of Variable-Order CRFs: a finite-state perspective
Thomas Lavergne, François Yvon
Learning Time Series Detection Models from Temporally Imprecise Labels
Roy Adams, Ben Marlin
Learning to Aggregate Ordinal Labels by Maximizing Separating Width
Guangyong Chen, Shengyu Zhang, Di Lin et al.
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization
Anil Armagan, Martin Hirzer, Peter M. Roth et al.
Learning to Align the Source Code to the Compiled Object Code
Dor Levy, Lior Wolf
Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du, Junru Shao, Claire Cardie
Learning to Compose Domain-Specific Transformations for Data Augmentation
Alexander J Ratner, Henry Ehrenberg, Zeshan Hussain et al.
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Learning to Detect Salient Objects With Image-Level Supervision
Lijun Wang, Huchuan Lu, Yifan Wang et al.
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
Joseph Futoma, Sanjay Hariharan, Katherine Heller
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning
Yuan Ling, Sadid A. Hasan, Vivek Datla et al.