Machine Learning

CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback AAAI 2026 COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees AAAI 2026 CoL2A: Convolution-free Local Linear Attention for SpatioTemporal Event Processing WACV 2026 CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training ACL 2026 Co-Layout: LLM-driven Co-optimization for Interior Layout AAAI 2026 Collaborative Dual Representations for Semi-Supervised Partial Label Learning AAAI 2026 Collaborative Enhancement of Large and Small Models for Question Answering via Dual Knowledge Transfer AAAI 2026 Collaborative LLM Numerical Reasoning with Local Data Protection AAAI 2026 Collaborative Multi-view Learning from Crowds UAI 2026 Collaborative Representation Learning for Alignment of Tactile, Language, and Vision Modalities AAAI 2026 Colorism in Multimodal AI: An Empirical Exploration of Socioeconomic Linguistic Bias in Text-to-Image Generation EACL 2026 Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection AAAI 2026 CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints AAAI 2026 Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory AAAI 2026 CommonForms: A Large, Diverse Dataset for Form Field Detection WACV 2026 Communication-efficient Distributed Statistical Inference for Massive Data with Heterogeneous Auxiliary Information JMLR 2026 Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning UAI 2026 Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments AAAI 2026 Compact Geometric Representations of Hierarchies COLT 2026 Compact Multimodal Language Models as Robust OCR Alternatives for Noisy Textual Clinical Reports EACL 2026 Comparing Text Compression Capabilities of Large Language Models with Traditional Compression Algorithms EACL 2026 Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026 Completely Modular Fine-tuning for Dynamic Language Adaptation EACL 2026 Complexity-aware fine-tuning EACL 2026 Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026