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)
CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
ACL 2025
CoachMe: Decoding Sport Elements with a Reference-Based Coaching Instruction Generation Model
ACL 2025
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model
CVPR 2025
CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
ICML 2025
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
EMNLP 2025
CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs
EMNLP 2025
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
ICML 2025
CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation
ACL 2025
Code Execution as Grounded Supervision for LLM Reasoning
EMNLP 2025
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
AAAI 2025
Code Mix TTS: An Approach to Infer Human Like Speech for Multi-Lingual Input Texts
Interspeech 2025
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation
ACL 2025
CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion
EMNLP 2025
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation
AAAI 2025
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
ACL 2025
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
ACL 2025
CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision
ACL 2025
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
EMNLP 2025
Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images
MIDL 2025
Co-Dream: Collaborative Dream Synthesis over Decentralized Models
AAAI 2025
COGNAC at SemEval-2025 Task 10: Multi-level Narrative Classification with Summarization and Hierarchical Prompting
SemEval 2025
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
ICML 2025
CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information
AAAI 2025
Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing
AAAI 2025
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation
ICCV 2025