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)
A PAC-Bayes Analysis of Adversarial Robustness
NeurIPS 2021
A Partial Label Metric Learning Algorithm for Class Imbalanced Data
ACML 2021
A Partition Filter Network for Joint Entity and Relation Extraction
EMNLP 2021
A Permutation-Equivariant Neural Network Architecture For Auction Design
AAAI 2021
APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing
EMNLP 2021
APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model
EMNLP 2021
A Plug-and-Play Method for Controlled Text Generation
EMNLP 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
ICML 2021
APo-VAE: Text Generation in Hyperbolic Space
NAACL 2021
Apparently Irrational Choice as Optimal Sequential Decision Making
AAAI 2021
Appending Adversarial Frames for Universal Video Attack
WACV 2021
Approaching SMM4H with auto-regressive language models and back-translation
NAACL 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
AISTATS 2021
Approximation Theory Based Methods for RKHS Bandits
ICML 2021
A Preliminary Study on Evaluating Consultation Notes With Post-Editing
EACL 2021
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations
COLT 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
JMLR 2021
A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning
ACL 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
NeurIPS 2021
A Prototypical Network Approach for Evaluating Generated Emotional Speech
Interspeech 2021
APS: Active Pretraining with Successor Features
ICML 2021
AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets
EACL 2021
Arabic Offensive Language on Twitter: Analysis and Experiments
EACL 2021
AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding
EACL 2021
Arbitrary Conditional Distributions with Energy
NeurIPS 2021