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)
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality
NeurIPS 2022
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
AAAI 2022
Stochastic Reweighted Gradient Descent
ICML 2022
Stochastic Rising Bandits
ICML 2022
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions
NeurIPS 2022
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
CVPR 2022
Stock Price Volatility Prediction: A Case Study with AutoML
EMNLP 2022
Stop Measuring Calibration When Humans Disagree
EMNLP 2022
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning
EMNLP 2022
StoryQ—an Online Environment for Machine Learning of Text Classification
AAAI 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
ICML 2022
Strategic ranking
AISTATS 2022
Strategic Representation
ICML 2022
Strategies to Improve Few-shot Learning for Intent Classification and Slot-Filling
NAACL 2022
Strategizing against Learners in Bayesian Games
COLT 2022
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
ICML 2022
Streaming Inference for Infinite Feature Models
ICML 2022
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
ICML 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters
EMNLP 2022
Strong Heuristics for Named Entity Linking
NAACL 2022
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
JMLR 2022
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation
EMNLP 2022
Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification
EMNLP 2022
Structural generalization is hard for sequence-to-sequence models
EMNLP 2022
Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations
NAACL 2022