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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)

Retrospective Counterfactual Prediction by Conditioning on the Factual Outcome: A Cross-World Approach CLeaR 2026 Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes EACL 2026 Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters AAAI 2026 Revisiting F-measure Optimization in Multi-Label Classification: A Sampling-based Approach CVPR 2026 Revisiting Layer Normalization for Point Cloud Test Time Adaptation WACV 2026 Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning CVPR 2026 Revisiting TD Target Aggregation under Uncertainty in Q-Learning UAI 2026 Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View AAAI 2026 Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment COLT 2026 Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting AAAI 2026 Reviving Unsupervised Optical Flow: Concept Reevaluation, Multi-Scale Advances and Full Open-Source Release WACV 2026 Reward Selection with Noisy Observations ALT 2026 Reward Sharpness-Aware Fine-Tuning for Diffusion Models CVPR 2026 RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation AAAI 2026 Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction AAAI 2026 Ripple Mechanisms for Discrete and Private Statistics COLT 2026 RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection ACL 2026 RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation AAAI 2026 Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise UAI 2026 Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience AAAI 2026 Robust Decision-Focused Learning via Worst-Case Regret Minimization UAI 2026 Robust Integrative Analysis of Multi-omics Datasets via Nuclear-norm Maximization AAAI 2026 Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer AAAI 2026 Robust Multimodal Emotion Recognition from Incomplete Modalities via Query-Based Unimodal and Cross-Modal Learning WACV 2026 Robust Online Learning ALT 2026