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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Frequency-Dependent Scheduled Schrödinger Bridge for Underwater Acoustic Signal Denoising AAAI 2026 Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training WACV 2026 Frequency Mining Empowered by Text Aggregation: A New Perspective on Document Image Tampering Detection AAAI 2026 Frequency Switching Mechanism for Parameter-Efficient Multi-Task Learning CVPR 2026 FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence AAAI 2026 From Attribution to Action: Jointly ALIGNing Predictions and Explanations AAAI 2026 From Bands to Depth: Understanding Bathymetry Decisions on Sentinel-2 WACV 2026 From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production AAAI 2026 From Blind Transfer to Wise Selection: Prototype-Driven Neighbor-Domain Adaptation for Fake News Detection AAAI 2026 From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning AAAI 2026 From Classical to Contemporary: Evolutionary Analysis & Classification of Urdu Poetry EACL 2026 From Cognitive Priors to Instance Semantics: A Unified Framework for Multi-task Affective Computing WACV 2026 From Continual Learning to SGD and Back: Better Rates for Continual Linear Models ALT 2026 From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression MIDL 2026 From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm AAAI 2026 From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026 From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech EACL 2026 From Few-Shot to Zero-Shot Pallet Load Recognition: A Deployed Embedding-Based Vision System for Industrial Logistics WACV 2026 From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation AAAI 2026 From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization AAAI 2026 From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks AAAI 2026 From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization ACL 2026 From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation AAAI 2026 From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet WACV 2026 From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning AAAI 2026