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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'20
'25
Papers (including subtopics)
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains
CVPR 2023
Decoupled Training for Long-Tailed Classification With Stochastic Representations
ICLR 2023
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection
ACML 2023
Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
CVPR 2023
Decoupling MaxLogit for Out-of-Distribution Detection
CVPR 2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
ACL 2023
Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation
IJCAI 2023
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
EMNLP 2023
DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers
WACV 2023
Deep Active Learning for Morphophonological Processing
ACL 2023
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract)
AAAI 2023
Deep Anomaly Detection under Labeling Budget Constraints
ICML 2023
Deep Attentive Model for Knowledge Tracing
AAAI 2023
DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources
EMNLP 2023
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
MIDL 2023
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
ICML 2023
Deep Contract Design via Discontinuous Networks
NeurIPS 2023
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
ICLR 2023
Deep Deterministic Uncertainty: A New Simple Baseline
CVPR 2023
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation
AAAI 2023
Deep Ensembles for Graphs with Higher-order Dependencies
ICLR 2023
Deep Factorized Metric Learning
CVPR 2023
Deep Graph Representation Learning and Optimization for Influence Maximization
ICML 2023
Deep Graph Reprogramming
CVPR 2023
Deep Graph Structural Infomax
AAAI 2023