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)
Goal-Conditioned On-Policy Reinforcement Learning
NeurIPS 2024
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
NeurIPS 2024
GOAT: GO to Any Thing
RSS 2024
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation
NAACL 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
EMNLP 2024
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
NeurIPS 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
AAAI 2024
GoT: Effective Graph-of-Thought Reasoning in Language Models
NAACL 2024
GPA: Global and Prototype Alignment for Audio-Text Retrieval
Interspeech 2024
GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction
EMNLP 2024
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?
COLING 2024
GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction
ACL 2024
Gradient Alignment for Cross-Domain Face Anti-Spoofing
CVPR 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning
CVPR 2024
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
NeurIPS 2024
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
AAAI 2024
Gradient Localization Improves Lifelong Pretraining of Language Models
EMNLP 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
CVPR 2024
Gradient Rewiring for Editable Graph Neural Network Training
NeurIPS 2024
Gradient-Variation Online Learning under Generalized Smoothness
NeurIPS 2024
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
ACL 2024
Gradual Domain Adaptation: Theory and Algorithms
JMLR 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
NeurIPS 2024
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
WACV 2024
Grammar-Aligned Decoding
NeurIPS 2024