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
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'10
'15
'20
'25
Papers (including subtopics)
Learning To Predict Visual Attributes in the Wild
CVPR 2021
Learning to Pre-train Graph Neural Networks
AAAI 2021
Learning to Price Against a Moving Target
ICML 2021
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI 2021
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation
EMNLP 2021
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
AAAI 2021
Learning to Reach Goals via Iterated Supervised Learning
ICLR 2021
Learning to Read Maps: Understanding Natural Language Instructions from Unseen Maps
ACL 2021
Learning to Recognize Dialect Features
NAACL 2021
Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild
CVPR 2021
Learning to Recommend from Sparse Data via Generative User Feedback
AAAI 2021
Learning To Recover 3D Scene Shape From a Single Image
CVPR 2021
Learning to Rehearse in Long Sequence Memorization
ICML 2021
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation
CVPR 2021
Learning To Resize Images for Computer Vision Tasks
ICCV 2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
AAAI 2021
Learning to See by Looking at Noise
NeurIPS 2021
Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment
CVPR 2021
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
EMNLP 2021
Learning to Solve NLP Tasks in an Incremental Number of Languages
ACL 2021
Learning to Stop with Surprisingly Few Samples
COLT 2021
Learning to Track Instances without Video Annotations
CVPR 2021
Learning To Track Objects From Unlabeled Videos
ICCV 2021
Learning to Weight Imperfect Demonstrations
ICML 2021
Learning Transferable Adversarial Perturbations
NeurIPS 2021