Papers
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing
Annervaz K M, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
Ariel Jaffe, Roi Weiss, Boaz Nadler et al.
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
Shahin Shahrampour, Vahid Tarokh
Learning by Asking Questions
Ishan Misra, Ross Girshick, Rob Fergus et al.
Learning by Playing Solving Sparse Reward Tasks from Scratch
Martin Riedmiller, Roland Hafner, Thomas Lampe et al.
Learning Certifiably Optimal Rule Lists for Categorical Data
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi et al.
Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs
Nils Rethmeier, Marc Hübner, Leonhard Hennig
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition
Jinmian Ye, Linnan Wang, Guangxi Li et al.
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta et al.
Learning Compositional Visual Concepts With Mutual Consistency
Yunye Gong, Srikrishna Karanam, Ziyan Wu et al.
Learning Compressed Transforms with Low Displacement Rank
Anna Thomas, Albert Gu, Tri Dao et al.
Learning Compressible 360° Video Isomers
Yu-Chuan Su, Kristen Grauman
“Learning-Compression” Algorithms for Neural Net Pruning
Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
John T Halloran, David M Rocke
Learning Concept Abstractness Using Weak Supervision
Ella Rabinovich, Benjamin Sznajder, Artem Spector et al.
Learning Conceptual Space Representations of Interrelated Concepts
Zied Bouraoui, Steven Schockaert
Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition
Jeng-Lin Li, Yi-Ming Weng, Chip-Jin Ng et al.
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Will Norcliffe-Brown, Stathis Vafeias, Sarah Parisot
Learning Confidence Sets using Support Vector Machines
Wenbo Wang, Xingye Qiao
Learning Context-Sensitive Convolutional Filters for Text Processing
Dinghan Shen, Martin Renqiang Min, Yitong Li et al.
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
Maximillian Nickel, Douwe Kiela
Learning Continuous Time Bayesian Networks in Non-stationary Domains
Simone Villa, Fabio Stella
Learning convex bounds for linear quadratic control policy synthesis
Jack Umenberger, Thomas B Schön
Learning convex polytopes with margin
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich et al.