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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)

Partial Label Learning with Unlabeled Data IJCAI 2019 Partially Encrypted Deep Learning using Functional Encryption NeurIPS 2019 Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach AAAI 2019 Partial Multi-Label Learning by Low-Rank and Sparse Decomposition AAAI 2019 Partial Multi-Label Learning via Credible Label Elicitation AAAI 2019 Partial Or Complete, That’s The Question NAACL 2019 Passive Diagnosis Incorporating the PHQ-4 for Depression and Anxiety ACL 2019 Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification CVPR 2019 Path-Invariant Map Networks CVPR 2019 Path-Specific Counterfactual Fairness AAAI 2019 PAWS: Paraphrase Adversaries from Word Scrambling NAACL 2019 PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification EMNLP 2019 Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention CVPR 2019 Pay “Attention” to your Context when Classifying Abusive Language ACL 2019 PC-Fairness: A Unified Framework for Measuring Causality-based Fairness NeurIPS 2019 PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation IJCAI 2019 Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation IJCAI 2019 Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification CVPR 2019 Perceptual Attention-based Predictive Control CoRL 2019 Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis AAAI 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019 Per-Decision Option Discounting ICML 2019 Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward AAAI 2019 Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019 PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network AAAI 2019