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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

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 PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement CVPR 2026 Phase Transition of Regret for Logistic Regression with Large Weights ALT 2026 Phatthachdau at SemEval-2026 Task 9: A Multi-Stage Augment-Judge-Train Pipeline for Multilingual Online Polarization Detection SemEval 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 Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction CVPR 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 PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations AAAI 2026 PingAn-NLP at SemEval-2026 Task 9: Multi-Stage Alignment via GRPO and Tiered Ensemble Voting for Multilingual Polarization Detection SemEval 2026 Pixel2Phys: Distilling Governing Laws from Visual Dynamics CVPR 2026 Planning with Formal Reachability Guarantees in Goal-Oriented MDPs with Dead-Ends UAI 2026 PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data AAAI 2026 Plot’n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models AAAI 2026 POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation CVPR 2026 PointChain: Learning Generalizable Point Cloud Representations via Structural Chain Modeling AAAI 2026 Pointing at Parts: Training-Free Few-Shot Grounding in Multimodal LLMs CVPR 2026 PointMC: Multi-view Consistent Encoding and Center-Global Feature Fusion for Point Clouds Understanding AAAI 2026 Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026 PolaFusion at SemEval-2026 Task 9: Ensemble Transformers with Targeted Augmentation for Multilingual Polarization Detection SemEval 2026 PolAR Bears at SemEval-2026 Task 9: Parameter-Efficient Fine-Tuning and Cross-Lingual Augmentation for Multilingual Polarization Detection SemEval 2026 Policy-Based Trajectory Clustering in Offline Reinforcement Learning UAI 2026