Papers
Cross-validation Confidence Intervals for Test Error
Pierre Bayle, Alexandre Bayle, Lucas Janson et al.
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
Kwang-Sung Jun, Chicheng Zhang
CryptoNAS: Private Inference on a ReLU Budget
Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen et al.
CSER: Communication-efficient SGD with Error Reset
Cong Xie, Shuai Zheng, Sanmi Koyejo et al.
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack, Sangwoo Mo, Jongheon Jeong et al.
Curriculum By Smoothing
Samarth Sinha, Animesh Garg, Hugo Larochelle
Curriculum Learning by Dynamic Instance Hardness
Tianyi Zhou, Shengjie Wang, Jeffrey Bilmes
Curriculum learning for multilevel budgeted combinatorial problems
Adel Nabli, Margarida Carvalho
Curvature Regularization to Prevent Distortion in Graph Embedding
Hongbin Pei, Bingzhe Wei, Kevin Chang et al.
Cycle-Contrast for Self-Supervised Video Representation Learning
Quan Kong, Wenpeng Wei, Ziwei Deng et al.
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
Dennis Wei, Tian Gao, Yue Yu
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega, Matteo Boschini, Angelo Porrello et al.
Data Diversification: A Simple Strategy For Neural Machine Translation
Xuan-Phi Nguyen, Shafiq Joty, Kui Wu et al.
De-Anonymizing Text by Fingerprinting Language Generation
Zhen Sun, Roei Schuster, Vitaly Shmatikov
Debiased Contrastive Learning
Ching-Yao Chuang, Joshua W. Robinson, Yen-Chen Lin et al.
Debiasing Averaged Stochastic Gradient Descent to handle missing values
Aude Sportisse, Claire Boyer, Aymeric Dieuleveut et al.
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
Michal Derezinski, Burak Bartan, Mert Pilanci et al.
Debugging Tests for Model Explanations
Julius Adebayo, Michael Muelly, Ilaria Liccardi et al.
Decentralized Accelerated Proximal Gradient Descent
Haishan Ye, Ziang Zhou, Luo Luo et al.
Decentralized Langevin Dynamics for Bayesian Learning
Anjaly Parayil, He Bai, Jemin George et al.
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
Gang Wang, Songtao Lu, Georgios Giannakis et al.
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez, Pierre Boyeau, Nir Yosef et al.
Decisions, Counterfactual Explanations and Strategic Behavior
Stratis Tsirtsis, Manuel Gomez Rodriguez
Decision trees as partitioning machines to characterize their generalization properties
Jean-Samuel Leboeuf, Frédéric LeBlanc, Mario Marchand
Deep active inference agents using Monte-Carlo methods
Zafeirios Fountas, Noor Sajid, Pedro Mediano et al.