Papers
Can Active Memory Replace Attention?
Łukasz Kaiser, Samy Bengio
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?
Arturo Deza, Miguel Eckstein
Catching heuristics are optimal control policies
Boris Belousov, Gerhard Neumann, Constantin A Rothkopf et al.
Causal Bandits: Learning Good Interventions via Causal Inference
Finnian Lattimore, Tor Lattimore, Mark D. Reid
Causal meets Submodular: Subset Selection with Directed Information
Yuxun Zhou, Costas J Spanos
CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel A Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva et al.
Clustering Signed Networks with the Geometric Mean of Laplacians
Pedro Mercado, Francesco Tudisco, Matthias Hein
Clustering with Bregman Divergences: an Asymptotic Analysis
Chaoyue Liu, Mikhail Belkin
Clustering with Same-Cluster Queries
Hassan Ashtiani, Shrinu Kushagra, Shai Ben-David
CMA-ES with Optimal Covariance Update and Storage Complexity
Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain
Yunhe Wang, Chang Xu, Shan You et al.
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions
Yichen Wang, Nan Du, Rakshit Trivedi et al.
Coin Betting and Parameter-Free Online Learning
Francesco Orabona, David Pal
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Hao Wang, Xingjian SHI, Dit-Yan Yeung
Combinatorial Energy Learning for Image Segmentation
Jeremy B Maitin-Shepard, Viren Jain, Michal Januszewski et al.
Combinatorial Multi-Armed Bandit with General Reward Functions
Wei Chen, Wei Hu, Fu Li et al.
Combinatorial semi-bandit with known covariance
Rémy Degenne, Vianney Perchet
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Wouter M. Koolen, Peter Grünwald, Tim van Erven
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
Jianxu Chen, Lin Yang, Yizhe Zhang et al.
Communication-Optimal Distributed Clustering
Jiecao Chen, He Sun, David Woodruff et al.
Community Detection on Evolving Graphs
Aris Anagnostopoulos, Jakub Łącki, Silvio Lattanzi et al.
Completely random measures for modelling block-structured sparse networks
Tue Herlau, Mikkel N Schmidt, Morten Mørup
Composing graphical models with neural networks for structured representations and fast inference
Matthew J Johnson, David K. Duvenaud, Alex Wiltschko et al.
Computational and Statistical Tradeoffs in Learning to Rank
Ashish Khetan, Sewoong Oh
Computing and maximizing influence in linear threshold and triggering models
Justin T Khim, Varun Jog, Po-Ling Loh