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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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477
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2000
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Papers (including subtopics)

Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation AAAI 2026 Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness COLT 2026 Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent JMLR 2026 Cheating Stereo Matching in Full-Scale: Physical Adversarial Attack Against Binocular Depth Estimation in Autonomous Driving AAAI 2026 CHEEM: Continual Learning by Reuse, New, Adapt and Skip - A Hierarchical Exploration-Exploitation Approach CVPR 2026 Chinese Two-part Allegorical Sayings Reading Comprehension: Exploration from Reasoning to Metaphor AAAI 2026 ChulaNLP at SemEval-2026 Task 5: Regression-Calibrated LLM for Word-Sense Scoring SemEval 2026 Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization ACL 2026 CIA: Cluster-Instance Alignment for Unsupervised Day-Night Vehicle Re-Identification AAAI 2026 CICL26 at SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation Learning SemEval 2026 CiNuSeg: Class Incremental Nuclei Segmentation via Anchor-driven Consistency Learning with Dual Region Regularization AAAI 2026 CIP-Net: Continual Interpretable Prototype-based Network AAAI 2026 CLASP: Cross-modal Salient Anchor-based Semantic Propagation for Weakly-supervised Dense Audio-Visual Event Localization AAAI 2026 Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026 Classification Under Local Differential Privacy with Model Reversal and Model Averaging JMLR 2026 Classifier-induced Reciprocal Points for Multi-label Open-set Recognition AAAI 2026 Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation AAAI 2026 CL-DMDF: Dynamic Multimodal Data Fusion Model Based on Contrastive Learning AAAI 2026 Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning CVPR 2026 Clean-Label Physical Backdoor Attacks with Data Distillation AAAI 2026 CLEX: Complementary Label Exchange Learning for Noisy Facial Expression Recognition CVPR 2026 Client-level Active Error Correction in Distributed Learning AAAI 2026 CLIP Is Shortsighted: Paying Attention Beyond the First Sentence CVPR 2026 CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering WACV 2026 CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing AAAI 2026