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)
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine
AAAI 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
Dropout Is NOT All You Need to Prevent Gradient Leakage
AAAI 2023
Dropout Reduces Underfitting
ICML 2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
NeurIPS 2023
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
NeurIPS 2023
DSFormer: A Dual-Domain Self-Supervised Transformer for Accelerated Multi-Contrast MRI Reconstruction
WACV 2023
DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction
ACL 2023
DSPM-NLG: A Dual Supervised Pre-trained Model for Few-shot Natural Language Generation in Task-oriented Dialogue System
ACL 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
ACL 2023
Dual Acoustic Linguistic Self-supervised Representation Learning for Cross-Domain Speech Recognition
Interspeech 2023
Dual Algorithmic Reasoning
ICLR 2023
Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation
CVPR 2023
Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection
ACL 2023
Dual Contrastive Learning Framework for Incremental Text Classification
EMNLP 2023
Dual Focal Loss for Calibration
ICML 2023
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction
ACL 2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
ICML 2023
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering
AAAI 2023
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks
AAAI 2023
Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization
NeurIPS 2023
Dual Memory Fusion for Multimodal Speech Emotion Recognition
Interspeech 2023
Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement
Interspeech 2023
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
AAAI 2023
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
ICCV 2023