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
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'20
'25
Papers (including subtopics)
Dense Self-Supervised Learning for Medical Image Segmentation
MIDL 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
NeurIPS 2024
Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling
CVPR 2024
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
CVPR 2024
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
AAAI 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
AISTATS 2024
Density Uncertainty Layers for Reliable Uncertainty Estimation
AISTATS 2024
DePLM: Denoising Protein Language Models for Property Optimization
NeurIPS 2024
Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph
NAACL 2024
Depression Detection via Capsule Networks with Contrastive Learning
AAAI 2024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
AAAI 2024
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
CVPR 2024
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
NeurIPS 2024
Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering
COLING 2024
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
CVPR 2024
Derandomizing Multi-Distribution Learning
NeurIPS 2024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
AAAI 2024
Derivative-enhanced Deep Operator Network
NeurIPS 2024
DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity
AAAI 2024
Design Choices for Enhancing Noisy Student Self-Training
WACV 2024
Designing a Hybrid Neural System To Learn Real-World Crack Segmentation From Fractal-Based Simulation
WACV 2024
Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making
IJCAI 2024
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization
NeurIPS 2024
Designing Informative Metrics for Few-Shot Example Selection
ACL 2024
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
NeurIPS 2024