Papers
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara et al.
Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai, Zhen Liu, Hanjun Dai et al.
Expressive power of tensor-network factorizations for probabilistic modeling
Ivan Glasser, Ryan Sweke, Nicola Pancotti et al.
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
Tharun Kumar Reddy Medini, Qixuan Huang, Yiqiu Wang et al.
Face Reconstruction from Voice using Generative Adversarial Networks
Yandong Wen, Bhiksha Raj, Rita Singh
Facility Location Problem in Differential Privacy Model Revisited
Yunus Esencayi, Marco Gaboardi, Shi Li et al.
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
Jicong Fan, Lijun Ding, Yudong Chen et al.
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser, Stephan Günnemann, Zachary Lipton
Fair Algorithms for Clustering
Suman Bera, Deeparnab Chakrabarty, Nicolas Flores et al.
Fast and Accurate Least-Mean-Squares Solvers
Alaa Maalouf, Ibrahim Jubran, Dan Feldman
Fast and Accurate Stochastic Gradient Estimation
Beidi Chen, Yingchen Xu, Anshumali Shrivastava
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes
James Requeima, Jonathan Gordon, John Bronskill et al.
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes
James Bailey, Georgios Piliouras
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre, Armin eftekhari, Volkan Cevher
Fast AutoAugment
Sungbin Lim, Ildoo Kim, Taesup Kim et al.
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks
Guodong Zhang, James Martens, Roger B Grosse
Fast Decomposable Submodular Function Minimization using Constrained Total Variation
Senanayak Sesh Kumar Karri, Francis Bach, Thomas Pock
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods
Supratik Paul, Vitaly Kurin, Shimon Whiteson
Faster Boosting with Smaller Memory
Julaiti Alafate, Yoav S Freund
Faster width-dependent algorithm for mixed packing and covering LPs
Digvijay Boob, Saurabh Sawlani, Di Wang
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
Han Liu, Zhizhong Han, Yu-Shen Liu et al.
Fast Parallel Algorithms for Statistical Subset Selection Problems
Sharon Qian, Yaron Singer