Papers
Category-Agnostic Neural Object Rigging
Guangzhao He, Chen Geng, Shangzhe Wu et al.
Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss
Enshang Zhang, Zhicheng Zhang, Takashi Hanakawa
Category Prompt Mamba Network for Nuclei Segmentation and Classification
Ye Zhang, Zijie Fang, Yifeng Wang et al.
Category-Specific Selective Feature Enhancement for Long-Tailed Multi-Label Image Classification
Ruiqi Du, Xu Tang, Xiangrong Zhang et al.
CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines
Gerry Wan, Shinan Liu, Francesco Bronzino et al.
CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
Duo Wu, Jinghe Wang, Yuan Meng et al.
CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image
Wonseok Roh, Hwanhee Jung, Jong Wook Kim et al.
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
Zheng Chong, Xiao Dong, Haoxiang Li et al.
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis
Qi Lian, Yu Qi, Yueming Wang
Cauchy-Schwarz Regularizers
Sueda Taner, Ziyi Wang, Christoph Studer
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
Yuxi Sun, Aoqi Zuo, Wei Gao et al.
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
Atticus Geiger, Duligur Ibeling, Amir Zur et al.
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
Wei Chen, Jiahao Zhang, Haipeng Zhu et al.
Causal Composition Diffusion Model for Closed-loop Traffic Generation
Haohong Lin, Xin Huang, Tung Phan et al.
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga et al.
Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection
Jin Cui, Xinfeng Wang, Yoshimi Suzuki et al.
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
Causal Discovery via Bayesian Optimization
Bao Duong, Sunil Gupta, Thin Nguyen
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
Tianjiao Jiang, Zhen Zhang, Yuhang Liu et al.
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
Yaochen Zhu, Jing Ma, Liang Wu et al.
Causal Effect of Functional Treatment
Ruoxu Tan, Wei Huang, Zheng Zhang et al.
Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis
Lei-Lei Li, Jianwu Fang, Junbin Xiao et al.
Causal Estimation of Tokenisation Bias
Pietro Lesci, Clara Meister, Thomas Hofmann et al.
CausalEval: Towards Better Causal Reasoning in Language Models
Longxuan Yu, Delin Chen, Siheng Xiong et al.