Papers
Cluster-Guided Contrastive Graph Clustering Network
Xihong Yang, Yue Liu, Sihang Zhou et al.
Clustering What Matters: Optimal Approximation for Clustering with Outliers
Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh et al.
CMNet: Contrastive Magnification Network for Micro-Expression Recognition
Mengting Wei, Xingxun Jiang, Wenming Zheng et al.
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Guodong Qi, Huimin Yu
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process
Fangyu Ding, Junchi Yan, Haiyang Wang
Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization
Yixuan Pan, Yao Yao, Yichao Cao et al.
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering
Mingrui Lao, Nan Pu, Yu Liu et al.
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Akshita Jha, Chandan K. Reddy
Code-Aware Cross-Program Transfer Hyperparameter Optimization
Zijia Wang, Xiangyu He, Kehan Chen et al.
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks
Chih-Kai Ting, Karl Munson, Serenity Wade et al.
Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards
Giacomo Frisoni, Paolo Italiani, Stefano Salvatori et al.
Co-imitation: Learning Design and Behaviour by Imitation
Chang Rajani, Karol Arndt, David Blanco-Mulero et al.
COLA: Improving Conversational Recommender Systems by Collaborative Augmentation
Dongding Lin, Jian Wang, Wenjie Li
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach
Samuel Westby, Christoph Riedl
Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks
Youjia Zhang, Pingzhong Tang
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
Jiange Yang, Sheng Guo, Gangshan Wu et al.
Combating Mode Collapse via Offline Manifold Entropy Estimation
Haozhe Liu, Bing Li, Haoqian Wu et al.
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment
Bowen Zhao, Chen Chen, Qian-Wei Wang et al.
Combinatorial Causal Bandits
Shi Feng, Wei Chen
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation
Sankarshan Damle, Manisha Padala, Sujit Gujar
Combining Adversaries with Anti-adversaries in Training
Xiaoling Zhou, Nan Yang, Ou Wu
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch et al.
Commitment Games with Conditional Information Disclosure
Anthony DiGiovanni, Jesse Clifton