Papers
The Mirage of Action-Dependent Baselines in Reinforcement Learning
George Tucker, Surya Bhupatiraju, Shixiang Gu et al.
The MLLP-UPV German-English Machine Translation System for WMT18
Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío et al.
The Multilinear Structure of ReLU Networks
Thomas Laurent, James Brecht
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning
Steffen Wolf, Constantin Pape, Alberto Bailoni et al.
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Jiantao Jiao, Weihao Gao, Yanjun Han
The NiuTrans Machine Translation System for WMT18
Qiang Wang, Bei Li, Jiqiang Liu et al.
The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
Katharina Kann, Stanislas Lauly, Kyunghyun Cho
Theoretical Analysis of Cross-Validation for Estimating the Risk of the $k$-Nearest Neighbor Classifier
Alain Celisse, Tristan Mary-Huard
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning
Xudong Pan, Mi Zhang, Daizong Ding
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
Manolis Tsakiris, Rene Vidal
Theoretical guarantees for EM under misspecified Gaussian mixture models
Raaz Dwivedi, nhật Hồ, Koulik Khamaru et al.
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds
Xiaohan Chen, Jialin Liu, Zhangyang Wang et al.
The Other Side of the Coin: Unsupervised Disambiguation of Potentially Idiomatic Expressions by Contrasting Senses
Hessel Haagsma, Malvina Nissim, Johan Bos
The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech
Alice Baird, Emilia Parada-Cabaleiro, Simone Hantke et al.
The Perception-Distortion Tradeoff
Yochai Blau, Tomer Michaeli
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning
Jesse Krijthe, Marco Loog
The Physical Systems Behind Optimization Algorithms
Lin Yang, Raman Arora, Vladimir braverman et al.
The Power Mean Laplacian for Multilayer Graph Clustering
Pedro Mercado, Antoine Gautier, Francesco Tudisco et al.
The power of deeper networks for expressing natural functions
David Rolnick, Max Tegmark
The Power of Ensembles for Active Learning in Image Classification
William H. Beluch, Tim Genewein, Andreas Nürnberger et al.
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma, Raef Bassily, Mikhail Belkin
The price of debiasing automatic metrics in natural language evalaution
Arun Chaganty, Stephen Mussmann, Percy Liang
The Price of Fair PCA: One Extra dimension
Samira Samadi, Uthaipon Tantipongpipat, Jamie H Morgenstern et al.