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
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'15
'20
'25
Papers (including subtopics)
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis
IJCAI 2025
Adversarial Training for Probabilistic Robustness
ICCV 2025
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
AISTATS 2025
AdversaryAI at BLP-2025 Task 2: A Think, Refine, and Generate (TriGen) System with LoRA and Self-Refinement for Code Generation
AACL 2025
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
EMNLP 2025
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
AAAI 2025
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective
IJCAI 2025
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
ICML 2025
Advocating Character Error Rate for Multilingual ASR Evaluation
NAACL 2025
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
ICML 2025
AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization
EMNLP 2025
AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
ICLR 2025
Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training
AAAI 2025
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
AAAI 2025
AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment
EMNLP 2025
AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction
CVPR 2025
Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization
CVPR 2025
AfD-CCC: Analyzing the Climate Change Discourse of a German Right-wing Political Party
ACL 2025
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection
AAAI 2025
AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance
ICCV 2025
AffordDP: Generalizable Diffusion Policy with Transferable Affordance
CVPR 2025
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
AAAI 2025
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
CVPR 2025
A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment
ACL 2025
A Framework for Proficiency-Aligned Grammar Practice in LLM-Based Dialogue Systems
ACL 2025