Papers
Estimation of Markov Chain via Rank-Constrained Likelihood
Xudong Li, Mengdi Wang, Anru Zhang
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Xuhong LI, Yves Grandvalet, Franck Davoine
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
Masanori Suganuma, Mete Ozay, Takayuki Okatani
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
Zhihao Jia, Sina Lin, Charles R. Qi et al.
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav
Extreme Learning to Rank via Low Rank Assumption
Minhao Cheng, Ian Davidson, Cho-Jui Hsieh
Fair and Diverse DPP-Based Data Summarization
Elisa Celis, Vijay Keswani, Damian Straszak et al.
Fairness Without Demographics in Repeated Loss Minimization
Tatsunori Hashimoto, Megha Srivastava, Hongseok Namkoong et al.
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow
Xiao Zhang, Simon Du, Quanquan Gu
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Khan, Didrik Nielsen, Voot Tangkaratt et al.
Fast Approximate Spectral Clustering for Dynamic Networks
Lionel Martin, Andreas Loukas, Pierre Vandergheynst
Fast Bellman Updates for Robust MDPs
Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
Fast Decoding in Sequence Models Using Discrete Latent Variables
Lukasz Kaiser, Samy Bengio, Aurko Roy et al.
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines
Bin Gu, Zhouyuan Huo, Cheng Deng et al.
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework
Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, Tamas Keviczky
Fast Information-theoretic Bayesian Optimisation
Binxin Ru, Michael A. Osborne, Mark Mcleod et al.
Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice
Alan Kuhnle, J. David Smith, Victoria Crawford et al.
Fast Parametric Learning with Activation Memorization
Jack Rae, Chris Dyer, Peter Dayan et al.
Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate
Mingrui Liu, Xiaoxuan Zhang, Zaiyi Chen et al.
Fast Variance Reduction Method with Stochastic Batch Size
Xuanqing Liu, Cho-Jui Hsieh
Feasible Arm Identification
Julian Katz-Samuels, Clay Scott
Feedback-Based Tree Search for Reinforcement Learning
Daniel Jiang, Emmanuel Ekwedike, Han Liu
Finding Influential Training Samples for Gradient Boosted Decision Trees
Boris Sharchilev, Yury Ustinovskiy, Pavel Serdyukov et al.
Firing Bandits: Optimizing Crowdfunding
Lalit Jain, Kevin Jamieson
First Order Generative Adversarial Networks
Calvin Seward, Thomas Unterthiner, Urs Bergmann et al.