Papers
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
Qihang Yu, Ju He, Xueqing Deng et al.
Cookie Consent Has Disparate Impact on Estimation Accuracy
Erik Miehling, Rahul Nair, Elizabeth Daly et al.
COOM: A Game Benchmark for Continual Reinforcement Learning
Tristan Tomilin, Meng Fang, Yudi Zhang et al.
Coop: Memory is not a Commodity
Jianhao Zhang, Shihan Ma, Peihong Liu et al.
Coordinating Distributed Example Orders for Provably Accelerated Training
A. Feder Cooper, Wentao Guo, Duc Khiem Pham et al.
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Wenxuan Zeng, Meng Li, Haichuan Yang et al.
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov, Alexander Nikulin, Dmitry Akimov et al.
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
Fatih Dinc, Adam Shai, Mark Schnitzer et al.
Correlation Aware Sparsified Mean Estimation Using Random Projection
Shuli Jiang, PRANAY SHARMA, Gauri Joshi
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt, Cengiz Pehlevan, Alper Erdogan
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
Yixing Lao, Xiaogang Xu, zhipeng cai et al.
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
Chenlu Ye, Rui Yang, Quanquan Gu et al.
CosNet: A Generalized Spectral Kernel Network
Yanfang Xue, Pengfei Fang, Jinyue Tian et al.
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
Shengpu Tang, Jenna Wiens
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
Jianzhun Shao, Yun Qu, Chen Chen et al.
Counterfactual Evaluation of Peer-Review Assignment Policies
Martin Saveski, Steven Jecmen, Nihar Shah et al.
Counterfactual Generation with Identifiability Guarantees
Hanqi Yan, Lingjing Kong, Lin Gui et al.
Counterfactually Comparing Abstaining Classifiers
Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
Counterfactually Fair Representation
Zhiqun Zuo, Mahdi Khalili, Xueru Zhang
Counterfactual Memorization in Neural Language Models
Chiyuan Zhang, Daphne Ippolito, Katherine Lee et al.
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation
Palak Jain, Iden Kalemaj, Sofya Raskhodnikova et al.
Counting Distinct Elements Under Person-Level Differential Privacy
Thomas Steinke, Alexander Knop
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation
Hao Zheng, Hongming Li, Yong Fan
Covariance-adaptive best arm identification
El Mehdi Saad, Gilles Blanchard, Nicolas Verzelen