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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

PFW at SemEval-2026 Task 6: Multi-Seed DeBERTa Ensembles for Political Response Clarity and Evasion Classification SemEval 2026 PGA: Prior-free Generative Attack for Practical No-box Scenario CVPR 2026 Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks AAAI 2026 PHANTOM: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics CVPR 2026 PharmaQA: Prompt-Based Molecular Representation Learning via Pharmacophore-Oriented Question Answering AAAI 2026 PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement CVPR 2026 Phase Transition for Stochastic Block Model with more than $\sqrtn$ Communities COLT 2026 Phase Transition in Convex Relaxations for Graph Alignment COLT 2026 Phase Transition of Regret for Logistic Regression with Large Weights ALT 2026 Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break ACL 2026 Phatthachdau at SemEval-2026 Task 9: A Multi-Stage Augment-Judge-Train Pipeline for Multilingual Online Polarization Detection SemEval 2026 Photo Dating by Facial Age Aggregation WACV 2026 PhyOceanCast: Global Ocean Forecasting with Physics-Informed Diffusion CVPR 2026 PhysGen: Physically Grounded 3D Shape Generation for Industrial Design CVPR 2026 PhysHO: Physics-Based Dynamic 3D Gaussian Human and Object from Monocular Video CVPR 2026 Physically-Based LiDAR Smoke Simulation for Robust 3D Object Detection AAAI 2026 Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics AAAI 2026 Physics-Aware Accelerated Unrolling Model for Sparse-View CT Reconstruction AAAI 2026 Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction CVPR 2026 Physics-Informed Approach for Exploratory Hamilton–Jacobi–Bellman Equations via Policy Iterations AAAI 2026 Physics-Informed Deformable Gaussian Splatting: Towards Unified Constitutive Laws for Time-Evolving Material Field AAAI 2026 Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations AAAI 2026 Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026 Physics-Informed Neural Operators for Cardiac Electrophysiology L4DC 2026 Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios AAAI 2026