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)
Unsupervised RGB-D Point Cloud Registration for Scenes with Low Overlap and Photometric Inconsistency
ICCV 2025
Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction
AAAI 2025
Unsupervised, Semi-Supervised and LLM-Based Morphological Segmentation for Bribri
NAACL 2025
Unsupervised Sentence Readability Estimation Based on Parallel Corpora for Text Simplification
ACL 2025
Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples
NAACL 2025
Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training
WACV 2025
Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
CoRL 2025
Unsupervised Sustainability Report Labeling based on the integration of the GRI and SDG standards
ACL 2025
Unsupervised Translation of Emergent Communication
AAAI 2025
Unsupervised Video Highlight Detection by Learning from Audio and Visual Recurrence
WACV 2025
Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings
ICCV 2025
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
EMNLP 2025
Untangling the Influence of Typology, Data, and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging
NAACL 2025
Unveiling and Addressing Pseudo Forgetting in Large Language Models
ACL 2025
Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension
ACL 2025
Unveiling Dual Quality in Product Reviews: An NLP-Based Approach
ACL 2025
Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models
COLING 2025
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
AAAI 2025
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
AAAI 2025
Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
AAAI 2025
Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis
CVPR 2025
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction
IJCAI 2025
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
ACL 2025
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
AISTATS 2025
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
AAAI 2025