Papers
CO-Optimal Transport
Vayer Titouan, Ievgen Redko, Rémi Flamary et al.
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash et al.
COPT: Coordinated Optimal Transport on Graphs
Yihe Dong, Will Sawin
Coresets for Near-Convex Functions
Murad Tukan, Alaa Maalouf, Dan Feldman
Coresets for Regressions with Panel Data
Lingxiao Huang, K Sudhir, Nisheeth Vishnoi
Coresets for Robust Training of Deep Neural Networks against Noisy Labels
Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalán Borsos, Mojmir Mutny, Andreas Krause
Correlation Robust Influence Maximization
Louis Chen, Divya Padmanabhan, Chee Chin Lim et al.
Correspondence learning via linearly-invariant embedding
Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi et al.
CoSE: Compositional Stroke Embeddings
Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi et al.
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu, Li Kevin Wenliang, Michael Munn et al.
Co-Tuning for Transfer Learning
Kaichao You, Zhi Kou, Mingsheng Long et al.
Counterexample-Guided Learning of Monotonic Neural Networks
Aishwarya Sivaraman, Golnoosh Farnadi, Todd Millstein et al.
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding
Zhu Zhang, Zhou Zhao, Zhijie Lin et al.
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis, Elliot Creager, Animesh Garg
Counterfactual Prediction for Bundle Treatment
Hao Zou, Peng Cui, Bo Li et al.
Counterfactual Predictions under Runtime Confounding
Amanda Coston, Edward Kennedy, Alexandra Chouldechova
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen
Amin Parvaneh, Ehsan Abbasnejad, Damien Teney et al.
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
Takeshi Teshima, Isao Ishikawa, Koichi Tojo et al.
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng, Hao Du, Hongyuan Yu et al.
Critic Regularized Regression
Ziyu Wang, Alexander Novikov, Konrad Zolna et al.
Cross-lingual Retrieval for Iterative Self-Supervised Training
Chau Tran, Yuqing Tang, Xian Li et al.
Cross-Scale Internal Graph Neural Network for Image Super-Resolution
Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo et al.
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch, Ankush Gupta, Andrew Zisserman
Cross-validation Confidence Intervals for Test Error
Pierre Bayle, Alexandre Bayle, Lucas Janson et al.