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
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'10
'15
'20
'25
Papers (including subtopics)
G3R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation
ACL 2023
Gacs-Korner Common Information Variational Autoencoder
NeurIPS 2023
GaIA: Graphical Information Gain Based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation
WACV 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition
CVPR 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
CVPR 2023
GALOPA: Graph Transport Learning with Optimal Plan Alignment
NeurIPS 2023
GAM: Gradient Attention Module of Optimization for Point Clouds Analysis
AAAI 2023
GAMR: A Guided Attention Model for (visual) Reasoning
ICLR 2023
GAN-Based Domain Inference Attack
AAAI 2023
GANmouflage: 3D Object Nondetection With Texture Fields
CVPR 2023
GANs as Gradient Flows that Converge
JMLR 2023
GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation
AAAI 2023
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
NeurIPS 2023
Gap Minimization for Knowledge Sharing and Transfer
JMLR 2023
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
ICCV 2023
GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings
EMNLP 2023
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes
ICCV 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
ICML 2023
GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation
EMNLP 2023
GBT: Generative Boosting Training Approach for Paraphrase Identification
EMNLP 2023
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
CVPR 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
ICML 2023
GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning
EMNLP 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
ACL 2023
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
CVPR 2023