Papers
554 papers found
Segregated Graphs and Marginals of Chain Graph Models
Ilya Shpitser
Teaching Machines to Read and Comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette et al.
Smooth and Strong: MAP Inference with Linear Convergence
Ofer Meshi, Mehrdad Mahdavi, Alex Schwing
Deep Visual Analogy-Making
Scott E Reed, Yi Zhang, Yuting Zhang et al.
Optimal Sparse Linear Encoders and Sparse PCA
Malik Magdon-Ismail, Christos Boutsidis
Synthesis of MCMC and Belief Propagation
Sung-Soo Ahn, Michael Chertkov, Jinwoo Shin
Graphons, mergeons, and so on!
Justin Eldridge, Mikhail Belkin, Yusu Wang
Learning What and Where to Draw
Scott E Reed, Zeynep Akata, Santosh Mohan et al.
On Fairness and Calibration
Geoff Pleiss, Manish Raghavan, Felix Wu et al.
Maxing and Ranking with Few Assumptions
Moein Falahatgar, Yi Hao, Alon Orlitsky et al.
Learning Chordal Markov Networks via Branch and Bound
Kari Rantanen, Antti Hyttinen, Matti Järvisalo
Shape and Material from Sound
Zhoutong Zhang, Qiujia Li, Zhengjia Huang et al.
On GANs and GMMs
Eitan Richardson, Yair Weiss
Active Matting
Xin Yang, Ke Xu, Shaozhe Chen et al.
Balanced Policy Evaluation and Learning
Nathan Kallus
Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun, Zhiyuan Zhang et al.
Fast and Accurate Least-Mean-Squares Solvers
Alaa Maalouf, Ibrahim Jubran, Dan Feldman
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov et al.
Finding Friend and Foe in Multi-Agent Games
Jack Serrino, Max Kleiman-Weiner, David C. Parkes et al.
Bridging Machine Learning and Logical Reasoning by Abductive Learning
Wang-Zhou Dai, Qiuling Xu, Yang Yu et al.
Explanations can be manipulated and geometry is to blame
Ann-Kathrin Dombrowski, Maximillian Alber, Christopher Anders et al.
Manipulating a Learning Defender and Ways to Counteract
Jiarui Gan, Qingyu Guo, Long Tran-Thanh et al.
Rethinking Pre-training and Self-training
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin et al.
Sparse and Continuous Attention Mechanisms
André Martins, António Farinhas, Marcos Treviso et al.
Matrix Inference and Estimation in Multi-Layer Models
Parthe Pandit, Mojtaba Sahraee Ardakan, Sundeep Rangan et al.