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
'10
'15
'20
'25
Papers (including subtopics)
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
ICLR 2025
Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity
ICLR 2025
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer
CVPR 2025
AniMo: Species-Aware Model for Text-Driven Animal Motion Generation
CVPR 2025
An Information Criterion for Controlled Disentanglement of Multimodal Data
ICLR 2025
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
AAAI 2025
An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues
NAACL 2025
An Investigation on LLMs' Visual Understanding Ability using SVG for Image-Text Bridging
WACV 2025
AniSan@NLU of Devanagari Script Languages 2025: Optimizing Language Identification with Ensemble Learning
COLING 2025
An LLM-Based Approach for Insight Generation in Data Analysis
NAACL 2025
AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations
ICCV 2025
Annotating and Inferring Compositional Structures in Numeral Systems Across Languages
ACL 2025
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection
ACL 2025
Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models
EMNLP 2025
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation
CVPR 2025
Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts
EMNLP 2025
A No Free Lunch Theorem for Human-AI Collaboration
AAAI 2025
AnoLLM: Large Language Models for Tabular Anomaly Detection
ICLR 2025
AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2
WACV 2025
Anomize: Better Open Vocabulary Video Anomaly Detection
CVPR 2025
A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
ICLR 2025
An Online Learning Theory of Trading-Volume Maximization
ICLR 2025
AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy
WACV 2025
An Open-Ended Learning Framework for Opponent Modeling
AAAI 2025
An OpenMind for 3D Medical Vision Self-supervised Learning
ICCV 2025