Papers
Counterfactual Identification Under Monotonicity Constraints
Aurghya Maiti, Drago Plecko, Elias Bareinboim
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation
Yao Li, Yong Zhou, Jiaqi Zhao et al.
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
Thomy Phan, Shao-Hung Chan, Sven Koenig
Counterfactual Realizability
Arvind Raghavan, Elias Bareinboim
Counterfactual Strategies for Markov Decision Processes
Paul Kobialka, Lina Gerlach, Francesco Leofante et al.
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation
Zhiqiang Wang, Jiayi Pan, Xingwang Zhao et al.
Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition
Xinyue Zhang, Zhaoxia Wang, Hailing Wang et al.
CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds
Feng Yang, Yichao Cao, Xiu Su et al.
Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning
Aswini Kumar Padhi, Anil Bandhakavi, Tanmoy Chakraborty
Counting and Reasoning with Plans
David Speck, Markus Hecher, Daniel Gnad et al.
Counting Guidance for High Fidelity Text-to-Image Synthesis
Wonjun Kang, Kevin Galim, Hyung Il Koo et al.
Counting Stacked Objects
Corentin Dumery, Noa Etté, Aoxiang Fan et al.
Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models
Mingyang Song, Mao Zheng, Xuan Luo
CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model
Ziyu Yao, Xuxin Cheng, Zhiqi Huang et al.
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
Jiansheng Li, Xingxuan Zhang, Hao Zou et al.
CountSE: Soft Exemplar Open-set Object Counting
Shuai Liu, Peng Zhang, Shiwei Zhang et al.
CountXplain: Interpretable Cell Counting with Prototype-Based Density Map Estimation
Abdurahman Ali Mohammed, Wallapak Tavanapong, Catherine Fonder et al.
Coupling Category Alignment for Graph Domain Adaptation
Nan Yin, Xiao Teng, Zhiguang Cao et al.
Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation
Xu Chen, Yang Li, Yahong Han et al.
CourtEval: A Courtroom-Based Multi-Agent Evaluation Framework
Sandeep Kumar, Abhijit A Nargund, Vivek Sridhar
CourtNav: Voice-Guided, Anchor-Accurate Navigation of Long Legal Documents in Courtrooms
Sai Khadloya, Kush Juvekar, Arghya Bhattacharya et al.
CourtReasoner: Can LLM Agents Reason Like Judges?
Sophia Simeng Han, Yoshiki Takashima, Shannon Zejiang Shen et al.
Courtroom-LLM: A Legal-Inspired Multi-LLM Framework for Resolving Ambiguous Text Classifications
Sangkeun Jung, Jeesu Jung
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning
Yijie Hu, Guanyu Yang, Zhaorui Tan et al.