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)
CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
ACL 2025
CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verification
SemEval 2025
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
ACL 2025
CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages
ACL 2025
CLAP-ART: Automated Audio Captioning with Semantic-rich Audio Representation Tokenizer
Interspeech 2025
ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech
Interspeech 2025
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
AAAI 2025
Class-Conditioned Transformation for Enhanced Robust Image Classification
WACV 2025
Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable
CVPR 2025
Classifier-Augmented Generation for Structured Workflow Prediction
EMNLP 2025
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
CVPR 2025
Classifying Unreliable Narrators with Large Language Models
ACL 2025
Class Semantic Attribute Perception Guided Zero-Shot Learning
AAAI 2025
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
AAAI 2025
CleanDIFT: Diffusion Features without Noise
CVPR 2025
CLEAR: Character Unlearning in Textual and Visual Modalities
ACL 2025
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models
CVPR 2025
CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection
AAAI 2025
CLEP-DG: Contrastive Learning for Speech Emotion Domain Generalization via Soft Prompt Tuning
Interspeech 2025
CLeVeR: Multi-modal Contrastive Learning for Vulnerability Code Representation
ACL 2025
Click&Describe: Multimodal Grounding and Tracking for Aerial Objects
WACV 2025
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
ICML 2025
ClimateCheck2025: Multi-Stage Retrieval Meets LLMs for Automated Scientfic Fact-Checking
ACL 2025
ClimateEval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change
ACL 2025
ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate
CVPR 2025