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)
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
CVPR 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions
EMNLP 2024
DEMO: A Statistical Perspective for Efficient Image-Text Matching
NAACL 2024
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning
IJCAI 2024
Demonstrating Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments
RSS 2024
Demonstration Augmentation for Zero-shot In-context Learning
ACL 2024
Demonstration-Regularized RL
ICLR 2024
Demonstration Retrieval-Augmented Generative Event Argument Extraction
COLING 2024
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
ACL 2024
Demonstration Selection Strategies for Numerical Time Series Data-to-Text
EMNLP 2024
DeMuX: Data-efficient Multilingual Learning
NAACL 2024
Demystifying Algorithmic Fairness in an Uncertain World
AAAI 2024
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
ICLR 2024
Demystifying Verbatim Memorization in Large Language Models
EMNLP 2024
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
NeurIPS 2024
DenoiseRep: Denoising Model for Representation Learning
NeurIPS 2024
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation
WACV 2024
Denoising-Aware Contrastive Learning for Noisy Time Series
IJCAI 2024
Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames
IJCAI 2024
Denoising Labeled Data for Comment Moderation Using Active Learning
COLING 2024
Denoising Table-Text Retrieval for Open-Domain Question Answering
COLING 2024
Denoising Task Routing for Diffusion Models
ICLR 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
AAAI 2024
Dense Projection for Anomaly Detection
AAAI 2024