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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

$\oslash$ Source Models Leak What They Shouldn't $\nrightarrow$: Unlearning Zero-Shot Transfer in Domain Adaptation Through Adversarial Optimization CVPR 2026 3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition AAAI 2026 3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting WACV 2026 4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis WACV 2026 4D Point Cloud Segmentation via Active Test-Time Adaptation AAAI 2026 6DAttack: Backdoor Attacks in the 6DoF Pose Estimation AAAI 2026 A²LC: Active and Automated Label Correction for Semantic Segmentation AAAI 2026 abateam at SemEval-2026 Task 1: Plan2joke – Humor Policies for Type-Specific Two-Pass Humor Generation SemEval 2026 ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links EACL 2026 A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning AAAI 2026 A Boundary Token Graph for Zero-Shot Relation Triplet Extraction Involving Discontinuous Entities AAAI 2026 Abstract Gradient Training: A Unified Certification Framework for Data Poisoning, Unlearning, and Differential Privacy JMLR 2026 A causal machine learning framework for pharmacovigilance signal detection in electronic health records: Drug-induced acute kidney injury CLeaR 2026 A Closer Look at Knowledge Distillation in Spiking Neural Network Training AAAI 2026 A Complexity Measure for Active Learning in Multi-group Mean Estimation COLT 2026 A Convex Framework for Confounding Robust Inference JMLR 2026 ACRM: Multi-Agent Trajectory Learning for Automated Credit Risk Model Refreshing in Production ACL 2026 Action-and-object Aware Alignment for Partially Relevant Video Retrieval AAAI 2026 ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models AAAI 2026 Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs AAAI 2026 Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models AAAI 2026 Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification AAAI 2026 ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving CVPR 2026 Active Generalized Category Discovery with Diverse LLM Feedback EACL 2026 ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model CVPR 2026