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)
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
ICML 2024
Weakly Supervised Semantic Segmentation for Driving Scenes
AAAI 2024
Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature
AAAI 2024
Weakly Supervised Video Individual Counting
CVPR 2024
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
ICLR 2024
WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection
AAAI 2024
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
EMNLP 2024
Weak Supervision Performance Evaluation via Partial Identification
NeurIPS 2024
Weak-to-Strong 3D Object Detection with X-Ray Distillation
CVPR 2024
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
ICML 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
IJCAI 2024
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
SemEval 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections
NeurIPS 2024
Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification
COLING 2024
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
NeurIPS 2024
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts
NeurIPS 2024
Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning
SemEval 2024
W-GVKT: Within-Global-View Knowledge Transfer for Speaker Verification
Interspeech 2024
What are the Generator Preferences for End-to-end Task-Oriented Dialog System?
EMNLP 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
EMNLP 2024
What Are the Rules? Discovering Constraints from Data
AAAI 2024
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?
NAACL 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
ICLR 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
ACL 2024
What Do Language Models Hear? Probing for Auditory Representations in Language Models
ACL 2024