Machine Learning

Revealing the Invisible: Latent Structure Modeling for Semantically Consistent Cloud Removal AAAI 2026 Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models EACL 2026 Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes EACL 2026 Reverse Personalization WACV 2026 Revisiting Age of Acquisition in Curriculum Learning: Disentangling Lexical Features and Semantic Structure CoNLL 2026 Revisiting an Old Perspective Projection for Monocular 3D Morphable Models Regression WACV 2026 Revisiting Attention in the Dark for Low-Light Person Re-Identiffcation AAAI 2026 Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters AAAI 2026 Revisiting Cross-Architecture Distillation: Adaptive Dual-Teacher Transfer for Lightweight Video Models AAAI 2026 Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond AAAI 2026 Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob AAAI 2026 Revisiting F-measure Optimization in Multi-Label Classification: A Sampling-based Approach CVPR 2026 Revisiting Generalization Across Difficulty Levels: It’s Not So Easy EACL 2026 Revisiting Layer Normalization for Point Cloud Test Time Adaptation WACV 2026 Revisiting MLLM Based Image Quality Assessment: Errors and Remedy AAAI 2026 Revisiting Model Interpolation for Efficient Reasoning ACL 2026 Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning CVPR 2026 Revisiting TD Target Aggregation under Uncertainty in Q-Learning UAI 2026 Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction AAAI 2026 Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View AAAI 2026 Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment COLT 2026 Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden AAAI 2026 Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning CVPR 2026 Revisiting Vision-Language Foundations for No-Reference Image Quality Assessment WACV 2026 Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting AAAI 2026