Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation
CVPR 2026
Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models
CVPR 2026
Who to Trust? Aggregating Client Predictions in Federated Distillation.
UAI 2026
WHU-MARS: A Multispectral Aerial-Ground Benchmark Towards Any-Scenario Person Re-Identification
CVPR 2026
Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training
CVPR 2026
Why Do More Experts Fail? A Theoretical Analysis of Model Merging
ACL 2026
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets
ACL 2026
Why Mean Pooling Works: Quantifying Second-Order Collapse in Text Embeddings
ACL 2026
Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition
CVPR 2026
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
ACL 2026
Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models
ACL 2026
WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition
CVPR 2026
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
ACL 2026
WISER: Wider Search, Deeper Thinking, and Adaptive Fusion for Training-Free Zero-Shot Composed Image Retrieval
CVPR 2026
WiTTA-Bench: Benchmarking Test-Time Adaptation for WiFi Sensing
CVPR 2026
Would LLMs be Good Historical Linguists and Chinese Dialect Learners?
ACL 2026
WPT: World-to-Policy Transfer via Online World Model Distillation
CVPR 2026
WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning
MIDL 2026
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
ACL 2026
WSDPO: A Generative Word Sense Disambiguation Framework with Chain-of-Thought and Preference Optimization
ACL 2026
WWTC@UniA at SemEval-2026 Task 13: BERT-based Code Authorship Detection and Qualitative Analysis
SemEval 2026
x^2-Fusion: Cross-Modality and Cross-Dimension Flow Estimation in Event Edge Space
CVPR 2026
X-Cardia: Phenotype-Guided Cross-Modal Alignment for Opportunistic Cardiac Screening on Routine Chest CT
MIDL 2026
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration
ACL 2026
X-WIN: Building Chest Radiograph World Model via Predictive Sensing
CVPR 2026