Papers
Constrained episodic reinforcement learning in concave-convex and knapsack settings
Kianté Brantley, Miro Dudik, Thodoris Lykouris et al.
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
Jacob Deasy, Nikola Simidjievski, Pietro Lió
Content Provider Dynamics and Coordination in Recommendation Ecosystems
Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
Contextual Games: Multi-Agent Learning with Side Information
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause et al.
Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming
Joey Huchette, Haihao Lu, Hossein Esfandiari et al.
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan, Siddharth Swaroop, Alexander Immer et al.
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry, Naeemullah Khan, Puneet Dokania et al.
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke, Bing Liu, Xingchang Huang
Continual Learning of Control Primitives : Skill Discovery via Reset-Games
Kelvin Xu, Siddharth Verma, Chelsea Finn et al.
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung, Hongjoon Ahn, Sungmin Cha et al.
Continuous Meta-Learning without Tasks
James Harrison, Apoorva Sharma, Chelsea Finn et al.
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
Nicolai Hani, Selim Engin, Jun-Jee Chao et al.
Continuous Regularized Wasserstein Barycenters
Lingxiao Li, Aude Genevay, Mikhail Yurochkin et al.
Continuous Submodular Maximization: Beyond DR-Submodularity
Moran Feldman, Amin Karbasi
Continuous Surface Embeddings
Natalia Neverova, David Novotny, Marc Szafraniec et al.
ContraGAN: Contrastive Learning for Conditional Image Generation
Minguk Kang, Jaesik Park
Contrastive learning of global and local features for medical image segmentation with limited annotations
Krishna Chaitanya, Ertunc Erdil, Neerav Karani et al.
Contrastive Learning with Adversarial Examples
Chih-Hui Ho, Nuno Nvasconcelos
ConvBERT: Improving BERT with Span-based Dynamic Convolution
Zi-Hang Jiang, Weihao Yu, Daquan Zhou et al.
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven, Alberto Bietti, Samuel Vaiter
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji, Jason Lee, Yingbin Liang et al.
Convex optimization based on global lower second-order models
Nikita Doikov, Yurii Nesterov
Convolutional Generation of Textured 3D Meshes
Dario Pavllo, Graham Spinks, Thomas Hofmann et al.
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
Jiahao Su, Wonmin Byeon, Jean Kossaifi et al.
Cooperative Heterogeneous Deep Reinforcement Learning
Han Zheng, Pengfei Wei, Jing Jiang et al.