Papers
Learning Active Learning from Data
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Learning Affinity via Spatial Propagation Networks
Sifei Liu, Shalini De Mello, Jinwei Gu et al.
Learning a Multi-View Stereo Machine
Abhishek Kar, Christian Häne, Jitendra Malik
Learning A Structured Optimal Bipartite Graph for Co-Clustering
Feiping Nie, Xiaoqian Wang, Cheng Deng et al.
Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash et al.
Learning Chordal Markov Networks via Branch and Bound
Kari Rantanen, Antti Hyttinen, Matti Järvisalo
Learning Combinatorial Optimization Algorithms over Graphs
Elias Khalil, Hanjun Dai, Yuyu Zhang et al.
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda et al.
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth N, Brooks Paige, Jan-Willem van de Meent et al.
Learning Efficient Object Detection Models with Knowledge Distillation
Guobin Chen, Wongun Choi, Xiang Yu et al.
Learning from Complementary Labels
Takashi Ishida, Gang Niu, Weihua Hu et al.
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
Anton Mallasto, Aasa Feragen
Learning Graph Representations with Embedding Propagation
Alberto Garcia Duran, Mathias Niepert
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner, Alexander Irpan, James Davidson et al.
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Asish Ghoshal, Jean Honorio
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
Learning Linear Dynamical Systems via Spectral Filtering
Elad Hazan, Karan Singh, Cyril Zhang
Learning Low-Dimensional Metrics
Blake Mason, Lalit Jain, Robert Nowak
Learning Mixture of Gaussians with Streaming Data
Aditi Raghunathan, Prateek Jain, Ravishankar Krishnawamy
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long, ZHANGJIE CAO, Jianmin Wang et al.
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
Learning Neural Representations of Human Cognition across Many fMRI Studies
Arthur Mensch, Julien Mairal, Danilo Bzdok et al.
Learning Overcomplete HMMs
Vatsal Sharan, Sham M. Kakade, Percy Liang et al.
Learning Populations of Parameters
Kevin Tian, Weihao Kong, Gregory Valiant
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi