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)
Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification
NAACL 2021
Annotation Confidence vs. Training Sample Size: Trade-Off Solution for Partially-Continuous Categorical Emotion Recognition
Interspeech 2021
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD
ACL 2021
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
ICLR 2021
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
CVPR 2021
An online passive-aggressive algorithm for difference-of-squares classification
NeurIPS 2021
An Online Sequential Test for Qualitative Treatment Effects
JMLR 2021
A nonparametric method for gradual change problems with statistical guarantees
NeurIPS 2021
A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots
AAAI 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
ACL 2021
A Novel Framework for Detecting Important Subevents from Crisis Events via Dynamic Semantic Graphs
EMNLP 2021
A Novel Method to Solve Neural Knapsack Problems
ICML 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms
ICML 2021
A Novel Wikipedia based Dataset for Monolingual and Cross-Lingual Summarization
EMNLP 2021
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences
AAAI 2021
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
CVPR 2021
Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
CVPR 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
NeurIPS 2021
An Uncertainty-Aware Encoder for Aspect Detection
EMNLP 2021
An Unsupervised Deep Learning Approach for Real-World Image Denoising
ICLR 2021
An unsupervised framework for tracing textual sources of moral change
EMNLP 2021
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
EMNLP 2021
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information
AAAI 2021
An unsupervised video game playstyle metric via state discretization
UAI 2021
A One-Size-Fits-All Solution to Conservative Bandit Problems
AAAI 2021