Papers
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification
Harsh Shrivastava, Eugene Bart, Bob Price et al.
Coordinate Descent with Bandit Sampling
Farnood Salehi, Patrick Thiran, Elisa Celis
Co-regularized Alignment for Unsupervised Domain Adaptation
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan et al.
Co-teaching: Robust training of deep neural networks with extremely noisy labels
Bo Han, Quanming Yao, Xingrui Yu et al.
Coupled Variational Bayes via Optimization Embedding
Bo Dai, Hanjun Dai, Niao He et al.
cpSGD: Communication-efficient and differentially-private distributed SGD
Naman Agarwal, Ananda Theertha Suresh, Felix Xinnan X Yu et al.
Credit Assignment For Collective Multiagent RL With Global Rewards
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Critical initialisation for deep signal propagation in noisy rectifier neural networks
Arnu Pretorius, Elan van Biljon, Steve Kroon et al.
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng, Bryon Aragam, Pradeep K Ravikumar et al.
Data Amplification: A Unified and Competitive Approach to Property Estimation
Yi Hao, Alon Orlitsky, Ananda Theertha Suresh et al.
Data center cooling using model-predictive control
Nevena Lazic, Craig Boutilier, Tyler Lu et al.
Data-dependent PAC-Bayes priors via differential privacy
Gintare Karolina Dziugaite, Daniel M. Roy
Data-Driven Clustering via Parameterized Lloyd's Families
Maria-Florina F Balcan, Travis Dick, Colin White
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum, Shixiang (Shane) Gu, Honglak Lee et al.
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
Pavel Dvurechenskii, Darina Dvinskikh, Alexander Gasnikov et al.
Deep Anomaly Detection Using Geometric Transformations
Izhak Golan, Ran El-Yaniv
Deep Attentive Tracking via Reciprocative Learning
Shi Pu, Yibing Song, Chao Ma et al.
Deepcode: Feedback Codes via Deep Learning
Hyeji Kim, Yihan Jiang, Sreeram Kannan et al.
Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres
Oisín Moran, Piergiorgio Caramazza, Daniele Faccio et al.
Deep Defense: Training DNNs with Improved Adversarial Robustness
Ziang Yan, Yiwen Guo, Changshui Zhang
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Jeremy Morton, Antony Jameson, Mykel J Kochenderfer et al.
DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning
Runsheng Yu, Wenyu Liu, Yasen Zhang et al.
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
Minhyuk Sung, Hao Su, Ronald Yu et al.
Deep Generative Markov State Models
Hao Wu, Andreas Mardt, Luca Pasquali et al.
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen, Eirikur Agustsson, Mario Lucic