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)
Rethinking the Reverse-engineering of Trojan Triggers
NeurIPS 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
EMNLP 2022
Rethinking the Setting of Semi-supervised Learning on Graphs
IJCAI 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning
NeurIPS 2022
Rethinking Video Anomaly Detection - A Continual Learning Approach
WACV 2022
Rethinking Visual Geo-Localization for Large-Scale Applications
CVPR 2022
[RETRACTED] NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation
COLING 2022
Retrieval-Augmented Diffusion Models
NeurIPS 2022
Retrieval-Augmented Reinforcement Learning
ICML 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
ICML 2022
Retrieval-guided Counterfactual Generation for QA
ACL 2022
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
ICLR 2022
RetrieverTTS: Modeling Decomposed Factors for Text-Based Speech Insertion
Interspeech 2022
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
EMNLP 2022
Retrospective Adversarial Replay for Continual Learning
NeurIPS 2022
Return of the bias: Almost minimax optimal high probability bounds for adversarial linear bandits
COLT 2022
REUSE: REference-free UnSupervised Quality Estimation Metric
EMNLP 2022
Reusing a Multi-lingual Setup to Bootstrap a Grammar Checker for a Very Low Resource Language without Data
ACL 2022
Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation
CVPR 2022
Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process
IJCAI 2022
Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees
ICML 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
ICLR 2022
Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning
JMLR 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
ICML 2022
Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE?
ACL 2022