Papers
8,340 papers found
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, Zhiding Yu et al.
Learning and Inference via Maximum Inner Product Search
Stephen Mussmann, Stefano Ermon
Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
Learning End-to-end Video Classification with Rank-Pooling
Basura Fernando, Stephen Gould
Learning from Multiway Data: Simple and Efficient Tensor Regression
Rose Yu, Yan Liu
Learning Granger Causality for Hawkes Processes
Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
Learning Mixtures of Plackett-Luce Models
Zhibing Zhao, Peter Piech, Lirong Xia
Learning Physical Intuition of Block Towers by Example
Adam Lerer, Sam Gross, Rob Fergus
Learning Population-Level Diffusions with Generative RNNs
Tatsunori Hashimoto, David Gifford, Tommi Jaakkola
Learning privately from multiparty data
Jihun Hamm, Yingjun Cao, Mikhail Belkin
Learning Representations for Counterfactual Inference
Fredrik Johansson, Uri Shalit, David Sontag
Learning Simple Algorithms from Examples
Wojciech Zaremba, Tomas Mikolov, Armand Joulin et al.
Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization
Eric Balkanski, Baharan Mirzasoleiman, Andreas Krause et al.
Learning to Filter with Predictive State Inference Machines
Wen Sun, Arun Venkatraman, Byron Boots et al.
Learning to Generate with Memory
Chongxuan Li, Jun Zhu, Bo Zhang
Linking losses for density ratio and class-probability estimation
Aditya Menon, Cheng Soon Ong
Loss factorization, weakly supervised learning and label noise robustness
Giorgio Patrini, Frank Nielsen, Richard Nock et al.
Low-Rank Matrix Approximation with Stability
Dongsheng Li, Chao Chen, Qin Lv et al.
Low-rank Solutions of Linear Matrix Equations via Procrustes Flow
Stephen Tu, Ross Boczar, Max Simchowitz et al.
Low-rank tensor completion: a Riemannian manifold preconditioning approach
Hiroyuki Kasai, Bamdev Mishra
Markov Latent Feature Models
Aonan Zhang, John Paisley
Markov-modulated Marked Poisson Processes for Check-in Data
Jiangwei Pan, Vinayak Rao, Pankaj Agarwal et al.
Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization
Zhiqiang Xu, Peilin Zhao, Jianneng Cao et al.
Metadata-conscious anonymous messaging
Giulia Fanti, Peter Kairouz, Sewoong Oh et al.
Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning
Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev et al.