Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection
CVPR 2023
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
ACL 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring
NeurIPS 2023
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
NeurIPS 2023
GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding
EMNLP 2023
GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training
CVPR 2023
Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations
AAAI 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training
CVPR 2023
Geometrized Transformer for Self-Supervised Homography Estimation
ICCV 2023
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation
CVPR 2023
GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding
ICCV 2023
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
NeurIPS 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
ICCV 2023
Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract)
IJCAI 2023
Getting MoRE out of Mixture of Language Model Reasoning Experts
EMNLP 2023
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
NeurIPS 2023
GFlowNet Foundations
JMLR 2023
GFPose: Learning 3D Human Pose Prior With Gradient Fields
CVPR 2023
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models
EMNLP 2023
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
CVPR 2023
GLAD: A Global-to-Local Anomaly Detector
WACV 2023
GLCC: A General Framework for Graph-Level Clustering
AAAI 2023
GLeaD: Improving GANs With a Generator-Leading Task
CVPR 2023
GliTr: Glimpse Transformers With Spatiotemporal Consistency for Online Action Prediction
WACV 2023
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition
ACL 2023