Papers
8,340 papers found
Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang, Andy Nguyen et al.
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior
Qingming Tang, Siqi Sun, Jinbo Xu
Learning Submodular Losses with the Lovasz Hinge
Jiaqian Yu, Matthew Blaschko
Learning to Search Better than Your Teacher
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal et al.
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang et al.
Learning Word Representations with Hierarchical Sparse Coding
Dani Yogatama, Manaal Faruqui, Chris Dyer et al.
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
Zhiwu Huang, Ruiping Wang, Shiguang Shan et al.
Long Short-Term Memory Over Recursive Structures
Xiaodan Zhu, Parinaz Sobihani, Hongyu Guo
Low Rank Approximation using Error Correcting Coding Matrices
Shashanka Ubaru, Arya Mazumdar, Yousef Saad
Low-Rank Matrix Recovery from Row-and-Column Affine Measurements
Or Zuk, Avishai Wagner
MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray et al.
Manifold-valued Dirichlet Processes
Hyunwoo Kim, Jia Xu, Baba Vemuri et al.
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
Tim Salimans, Diederik Kingma, Max Welling
Markov Mixed Membership Models
Aonan Zhang, John Paisley
Message Passing for Collective Graphical Models
Tao Sun, Dan Sheldon, Akshat Kumar
Metadata Dependent Mondrian Processes
Yi Wang, Bin Li, Yang Wang et al.
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Modeling Order in Neural Word Embeddings at Scale
Andrew Trask, David Gilmore, Matthew Russell
Moderated and Drifting Linear Dynamical Systems
Jinyan Guan, Kyle Simek, Ernesto Brau et al.
MRA-based Statistical Learning from Incomplete Rankings
Eric Sibony, Stéphan Clemençon, Jérémie Jakubowicz
Multi-instance multi-label learning in the presence of novel class instances
Anh Pham, Raviv Raich, Xiaoli Fern et al.
Multi-Task Learning for Subspace Segmentation
Yu Wang, David Wipf, Qing Ling et al.
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization
Jiangwen Sun, Jin Lu, Tingyang Xu et al.
Multiview Triplet Embedding: Learning Attributes in Multiple Maps
Ehsan Amid, Antti Ukkonen
Nested Sequential Monte Carlo Methods
Christian Naesseth, Fredrik Lindsten, Thomas Schon