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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'25
Papers (including subtopics)
Detecting Inconsistencies in Narrative Elements of Cross Lingual Nakba Texts
COLING 2025
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
EMNLP 2025
Detecting Legal Citations in United Kingdom Court Judgments
EMNLP 2025
Detecting Omissions in LLM-Generated Medical Summaries
EMNLP 2025
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
ACL 2025
Detection of Human and Machine-Authored Fake News in Urdu
ACL 2025
Deterministic Object Pose Confidence Region Estimation
ICCV 2025
Detoxifying Large Language Models via the Diversity of Toxic Samples
EMNLP 2025
Developing a Postgraduate Program for AI in Medicine with Kern’s Six-Step Curriculum Development Approach in Singapore
AAAI 2025
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games
AAAI 2025
Dexonomy: Synthesizing All Dexterous Grasp Types in a Grasp Taxonomy
RSS 2025
DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References
ICLR 2025
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control
CoRL 2025
DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
RSS 2025
DF$^2$: Distribution-Free Decision-Focused Learning
UAI 2025
DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics
IJCAI 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
CVPR 2025
DFLOW: Diverse Dialogue Flow Simulation with Large Language Models
ACL 2025
DFM: Differentiable Feature Matching for Anomaly Detection
CVPR 2025
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models
ACL 2025
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning
IJCAI 2025
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
AAAI 2025
DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction
AAAI 2025
DIACU: A dataset for the DIAchronic analysis of Church Slavonic
ACL 2025
Diagnosing Pretrained Models for Out-of-distribution Detection
ICCV 2025