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)
CoinMath: Harnessing the Power of Coding Instruction for Math LLM
ACL 2025
Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
ACL 2025
Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation
AAAI 2025
CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis
NAACL 2025
Collage: Decomposable Rapid Prototyping for Co-Designed Information Extraction on Scientific PDFs
ACL 2025
Collapsed Language Models Promote Fairness
ICLR 2025
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence
ACL 2025
Collapse-Proof Non-Contrastive Self-Supervised Learning
ICML 2025
CollEX – A Multimodal Agentic RAG System Enabling Interactive Exploration of Scientific Collections
ACL 2025
CoLLM: A Large Language Model for Composed Image Retrieval
CVPR 2025
Color Matching Using Hypernetwork-Based Kolmogorov-Arnold Networks
ICCV 2025
CoMapGS: Covisibility Map-based Gaussian Splatting for Sparse Novel View Synthesis
CVPR 2025
Combating Semantic Contamination in Learning with Label Noise
AAAI 2025
Combining Automated and Manual Data for Effective Downstream Fine-Tuning of Transformers for Low-Resource Language Applications
ACL 2025
Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation through Strong-Weak Guidance
WACV 2025
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
CVPR 2025
ComicScene154: A Scene Dataset for Comic Analysis
EMNLP 2025
CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation
CVPR 2025
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
AAAI 2025
CoMMIT: Coordinated Multimodal Instruction Tuning
EMNLP 2025
Common Sense Bias Modeling for Classification Tasks
AAAI 2025
Commonsense Reasoning in Arab Culture
ACL 2025
Comparative Knowledge Distillation
WACV 2025
Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization
ACL 2025
Comparing Methods for Multi-Label Classification of Manipulation Techniques in Ukrainian Telegram Content
ACL 2025