Machine Learning

Category-Agnostic Neural Object Rigging CVPR 2025 Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss IJCAI 2025 Category Prompt Mamba Network for Nuclei Segmentation and Classification AAAI 2025 Category-Specific Selective Feature Enhancement for Long-Tailed Multi-Label Image Classification ICCV 2025 CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration ICML 2025 CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems EMNLP 2025 CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging ICML 2025 CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines NSDI 2025 Catoni Contextual Bandits are Robust to Heavy-tailed Rewards ICML 2025 Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis AAAI 2025 Cauchy-Schwarz Regularizers ICLR 2025 Causal Abstraction Inference under Lossy Representations ICML 2025 Causal Abstraction Learning based on the Semantic Embedding Principle ICML 2025 Causal Composition Diffusion Model for Closed-loop Traffic Generation CVPR 2025 Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection ACL 2025 Causal Discovery by Interventions via Integer Programming AAAI 2025 Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025 Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles UAI 2025 Causal discovery in mixed additive noise models AISTATS 2025 Causal Discovery on Dependent Binary Data AISTATS 2025 Causal Discovery via Bayesian Optimization ICLR 2025 Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning ICCV 2025 Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments UAI 2025 Causal Effect of Functional Treatment JMLR 2025 Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation UAI 2025