Papers
Controllable Text Generation with Neurally-Decomposed Oracle
Tao Meng, Sidi Lu, Nanyun Peng et al.
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi et al.
Convergence beyond the over-parameterized regime using Rayleigh quotients
David A. R. Robin, Kevin Scaman, marc lelarge
Convergence for score-based generative modeling with polynomial complexity
Holden Lee, Jianfeng Lu, Yixin Tan
Convergent Representations of Computer Programs in Human and Artificial Neural Networks
Shashank Srikant, Ben Lipkin, Anna Ivanova et al.
Convexity Certificates from Hessians
Julien Klaus, Niklas Merk, Konstantin Wiedom et al.
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He, Zhewei Wei, Ji-Rong Wen
Cooperative Distribution Alignment via JSD Upper Bound
Wonwoong Cho, ZIYU GONG, David I Inouye
Coordinate Linear Variance Reduction for Generalized Linear Programming
Chaobing Song, Cheuk Yin Lin, Stephen Wright et al.
Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representations
Fukun Yin, Wen Liu, Zilong Huang et al.
CoPur: Certifiably Robust Collaborative Inference via Feature Purification
Jing Liu, Chulin Xie, Sanmi Koyejo et al.
Coreset for Line-Sets Clustering
Sagi Lotan, Ernesto Evgeniy Sanches Shayda, Dan Feldman
Coresets for Relational Data and The Applications
Jiaxiang Chen, Qingyuan Yang, Ruomin Huang et al.
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering
Lingxiao Huang, Zhize Li, Jialin Sun et al.
Coresets for Wasserstein Distributionally Robust Optimization Problems
Ruomin Huang, Jiawei Huang, Wenjie Liu et al.
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs
Linjian Ma, Edgar Solomonik
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Harsh Rangwani, shrinivas ramasubramanian, Sho Takemori et al.
Could Giant Pre-trained Image Models Extract Universal Representations?
Yutong Lin, Ze Liu, Zheng Zhang et al.
Counterfactual Fairness with Partially Known Causal Graph
Aoqi Zuo, Susan Wei, Tongliang Liu et al.
Counterfactual harm
Jonathan Richens, Rory Beard, Daniel H. Thompson
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
Yizhou Zhang, Defu Cao, Yan Liu
Counterfactual Temporal Point Processes
Kimia Noorbakhsh, Manuel Rodriguez
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation
Zicheng Zhang, Yi Zhu, Jianzhuang Liu et al.
coVariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, Corey McMillan et al.
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion
Philippe Weinzaepfel, Vincent Leroy, Thomas Lucas et al.