Papers
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
Jinyang Li, Binyuan Hui, Ge Qu et al.
Canonical normalizing flows for manifold learning
Kyriakos Flouris, Ender Konukoglu
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
Jialu Gao, Kaizhe Hu, Guowei Xu et al.
Can semi-supervised learning use all the data effectively? A lower bound perspective
Alexandru Tifrea, Gizem Yüce, Amartya Sanyal et al.
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
Boris van Breugel, Nabeel Seedat, Fergus Imrie et al.
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
Denis Kuznedelev, Eldar Kurtić, Elias Frantar et al.
CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation
pengyun zhu, Long Wen, Jinfei Liu et al.
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
Bowen Tan, Yun Zhu, Lijuan Liu et al.
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes
Yulei Qin, Xingyu Chen, Yunhang Shen et al.
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
Tong Xiang, Liangzhi Li, Wangyue Li et al.
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation
Xiao Luo, Haixin Wang, Zijie Huang et al.
Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments
Dairui Wang, Junyu Cao, Yan Zhang et al.
Cascading Contextual Assortment Bandits
Hyun-jun Choi, Rajan Udwani, Min-hwan Oh
CAST: Cross-Attention in Space and Time for Video Action Recognition
Dongho Lee, Jongseo Lee, Jinwoo Choi
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Kai Liu, Zhihang Fu, Chao Chen et al.
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian et al.
Causal Component Analysis
Liang Wendong, Armin Kekić, Julius von Kügelgen et al.
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
Jacy Anthis, Victor Veitch
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Siyuan Guo, Viktor Toth, Bernhard Schölkopf et al.
Causal discovery from observational and interventional data across multiple environments
Adam Li, Amin Jaber, Elias Bareinboim
Causal Discovery from Subsampled Time Series with Proxy Variables
Mingzhou Liu, Xinwei Sun, Lingjing Hu et al.
Causal Discovery in Semi-Stationary Time Series
Shanyun Gao, Raghavendra Addanki, Tong Yu et al.
Causal Effect Identification in Uncertain Causal Networks
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian et al.
Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
Abhinav Kumar, Amit Deshpande, Amit Sharma
Causal Fairness for Outcome Control
Drago Plecko, Elias Bareinboim