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)
Don’t stop pretraining! Efficiently building specialised language models in resource-constrained settings.
NAACL 2025
Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation
EMNLP 2025
Don’t Take it Literally! Idiom-aware Vietnamese Translation via In-context Learning
IJCNLP 2025
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
ICLR 2025
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
ICCV 2025
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
ICLR 2025
Doppelgangers and Adversarial Vulnerability
CVPR 2025
DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
CVPR 2025
Do RAG Systems Really Suffer From Positional Bias?
EMNLP 2025
DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution
CVPR 2025
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
AISTATS 2025
Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search
AAAI 2025
Doubly Optimal Policy Evaluation for Reinforcement Learning
ICLR 2025
Doubly robust identification of treatment effects from multiple environments
ICLR 2025
Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
UAI 2025
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
ACL 2025
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
ACL 2025
Down the Cascades of Omethi: Hierarchical Automatic Scoring in Large-Scale Assessments
ACL 2025
Do Your Best and Get Enough Rest for Continual Learning
CVPR 2025
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
CVPR 2025
DPCL-Diff:Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
AAAI 2025
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
AAAI 2025
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
AAAI 2025
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
CVPR 2025
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
ACL 2025