Papers
Learning Non-Linear Reconstruction Models for Image Set Classification
Munawar Hayat, Mohammed Bennamoun, Senjian An
Learning on graphs using Orthonormal Representation is Statistically Consistent
Rakesh Shivanna, Chiranjib Bhattacharyya
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability
Jeremias Berg, Matti Järvisalo, Brandon Malone
Learning Optimal Commitment to Overcome Insecurity
Avrim Blum, Nika Haghtalab, Ariel D Procaccia
Learning Optimal Seeds for Diffusion-based Salient Object Detection
Song Lu, Vijay Mahadevan, Nuno Vasconcelos
Learning Ordered Representations with Nested Dropout
Oren Rippel, Michael Gelbart, Ryan Adams
Learning part-of-speech taggers with inter-annotator agreement loss
Barbara Plank, Dirk Hovy, Anders Søgaard
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre et al.
Learning Polylingual Topic Models from Code-Switched Social Media Documents
Nanyun Peng, Yiming Wang, Mark Dredze
Learning Polynomials with Neural Networks
Alexandr Andoni, Rina Panigrahy, Gregory Valiant et al.
Learning Receptive Fields for Pooling from Tensors of Feature Response
Can Xu, Nuno Vasconcelos
Learning Scalable Discriminative Dictionary with Sample Relatedness
Jiashi Feng, Stefanie Jegelka, Shuicheng Yan et al.
Learning Semantic Hierarchies via Word Embeddings
Ruiji Fu, Jiang Guo, Bing Qin et al.
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
Jiang Guo, Wanxiang Che, Haifeng Wang et al.
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
Duyu Tang, Furu Wei, Nan Yang et al.
Learning Soft Linear Constraints with Application to Citation Field Extraction
Sam Anzaroot, Alexandre Passos, David Belanger et al.
Learning Sparsely Used Overcomplete Dictionaries
Alekh Agarwal, Animashree Anandkumar, Prateek Jain et al.
Learning Spatial Knowledge for Text to 3D Scene Generation
Angel Chang, Manolis Savva, Christopher D. Manning
Learning Structured Models with the AUC Loss and Its Generalizations
Nir Rosenfeld, Ofer Meshi, Danny Tarlow et al.
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features
Anders Björkelund, Jonas Kuhn
Learning Sum-Product Networks with Direct and Indirect Variable Interactions
Amirmohammad Rooshenas, Daniel Lowd
Learning Task-specific Bilexical Embeddings
Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks
Shan-Hung Wu, Hao-Heng Chien, Kuan-Hua Lin et al.
Learning the Irreducible Representations of Commutative Lie Groups
Taco Cohen, Max Welling