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
'5
'10
'15
'20
'25
Papers (including subtopics)
Learning to Guide Random Search
ICLR 2020
Learning to Have an Ear for Face Super-Resolution
CVPR 2020
Learning to Incorporate Structure Knowledge for Image Inpainting
AAAI 2020
Learning to Interactively Learn and Assist
AAAI 2020
Learning to Learn Kernels with Variational Random Features
ICML 2020
Learning to Learn Morphological Inflection for Resource-Poor Languages
AAAI 2020
Learning to Learn Single Domain Generalization
CVPR 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
EMNLP 2020
Learning to Learn with Feedback and Local Plasticity
NeurIPS 2020
Learning to Manipulate Deformable Objects without Demonstrations
RSS 2020
Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing
AAAI 2020
Learning to Model Opponent Learning (Student Abstract)
AAAI 2020
Learning to Mutate with Hypergradient Guided Population
NeurIPS 2020
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees
AAAI 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs
NeurIPS 2020
Learning to Plan via Deep Optimistic Value Exploration
L4DC 2020
Learning to Play Sequential Games versus Unknown Opponents
NeurIPS 2020
Learning to Pronounce Chinese Without a Pronunciation Dictionary
EMNLP 2020
Learning to Prove Theorems by Learning to Generate Theorems
NeurIPS 2020
Learning to Rank Learning Curves
ICML 2020
Learning to Recognize Per-Rater’s Emotion Perception Using Co-Rater Training Strategy with Soft and Hard Labels
Interspeech 2020
Learning to Restore Low-Light Images via Decomposition-and-Enhancement
CVPR 2020
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
ICLR 2020
Learning to Score Behaviors for Guided Policy Optimization
ICML 2020
Learning to Segment Actions from Observation and Narration
ACL 2020