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)
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses
NeurIPS 2023
Human-in-the-Loop Vehicle ReID
AAAI 2023
Human-in-the-Loop Video Semantic Segmentation Auto-Annotation
WACV 2023
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax
AAAI 2023
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation
CVPR 2023
HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar
WACV 2023
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image
AAAI 2023
HW-TSC 2023 Submission for the Quality Estimation Shared Task
EMNLP 2023
HW-TSC at IWSLT2023: Break the Quality Ceiling of Offline Track via Pre-Training and Domain Adaptation
ACL 2023
HW-TSC’s Participation in the WMT 2023 Automatic Post Editing Shared Task
EMNLP 2023
Hybrid Active Learning via Deep Clustering for Video Action Detection
CVPR 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
ICML 2023
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem
AAAI 2023
Hybrid Search for Efficient Planning with Completeness Guarantees
NeurIPS 2023
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks
ACL 2023
HYDRA: Hybrid Robot Actions for Imitation Learning
CoRL 2023
Hyperbolic Contrastive Learning for Visual Representations Beyond Objects
CVPR 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
NeurIPS 2023
Hyperbolic Image-text Representations
ICML 2023
Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
ICLR 2023
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
NeurIPS 2023
HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering
CVPR 2023
Hyper-HMM: aligning human brains and semantic features in a common latent event space
NeurIPS 2023
HyperJump: Accelerating HyperBand via Risk Modelling
AAAI 2023
HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint
CVPR 2023