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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)

Language Generation with Infinite Contamination COLT 2026 Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression WACV 2026 Language Model Distillation: A Temporal Difference Imitation Learning Perspective AAAI 2026 Language Model-Driven Data Pruning Enables Efficient Active Learning EACL 2026 Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape AAAI 2026 Large Language Model-Enhanced Multi-Armed Bandits ACL 2026 Large-scale Robust Enhanced Ensemble Clustering via Outlier Decoupling CVPR 2026 LASER: Lip Landmark Assisted Speaker Detection for Robustness WACV 2026 Last-iterate Convergence for Symmetric, General-sum, 2 × 2 Games Under The Exponential Weights Dynamic ALT 2026 LatentVLA: Taming Latent Space for Generalizable and Long-Horizon Bimanual Manipulation AAAI 2026 LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving CVPR 2026 Learnability-Driven Submodular Optimization for Active Roadside 3D Detection CVPR 2026 Learning Adaptive and Expandable Mixture Model for Continual Learning AAAI 2026 Learning a Fix and Explore Framework for Continuous Generalized Category Discovery AAAI 2026 Learning Anchor in Dual Orthogonal Space for Fast Multi-view Clustering CVPR 2026 Learning-Augmented Heuristics: Simple Yet Smart, Robust and Interpretable Cache Eviction OSDI 2026 Learning-based Optimal Admission Control for Erlang-B Queuing Systems UAI 2026 Learning Bayesian and Markov Networks with an Unreliable Oracle UAI 2026 Learning Better UAV-Based Cross-View Object Geo-Localization from Multi-Modal Prompts: MoP-UAV Benchmark and MoPT Framework AAAI 2026 Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization AAAI 2026 Learning Beyond Labels: Self-Supervised Handwritten Text Recognition WACV 2026 Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation AAAI 2026 Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation AAAI 2026 Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition AAAI 2026 Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes L4DC 2026