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
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'25
Papers (including subtopics)
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
CVPR 2025
Closed-Loop Transfer for Weakly-supervised Affordance Grounding
ICCV 2025
Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery
COLING 2025
Closest Neighbors are Harmful for Lightweight Masked Auto-encoders
CVPR 2025
CLOT: Closed Loop Optimal Transport for Unsupervised Action Segmentation
ICCV 2025
ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
ACL 2025
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization
ICCV 2025
clujteam at SemEval-2025 Task 10: Finetuning SmolLM2 with Taxonomy-based Prompting for Explaining the Dominant Narrative in Propaganda Textt
SemEval 2025
Cluster-guided Contrastive Class-imbalanced Graph Classification
AAAI 2025
Clustering Context in Off-Policy Evaluation
AISTATS 2025
Clustering Properties of Self-Supervised Learning
ICML 2025
Clustering via Self-Supervised Diffusion
ICML 2025
Clustering Zero-Shot Uncertainty Estimations to Assess LLM Response Accuracy for Yes/No Q&A
ACL 2025
ClusterSC: Advancing Synthetic Control with Donor Selection
AISTATS 2025
“Clutch or Cry” Team at TRACS @ WASP2025: A Hybrid Stacking Ensemble for Astrophysical Document Classification
AACL 2025
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
WACV 2025
CMHKF: Cross-Modality Heterogeneous Knowledge Fusion for Weakly Supervised Video Anomaly Detection
ACL 2025
CMSP-ST: Cross-modal Mixup with Speech Purification for End-to-End Speech Translation
Interspeech 2025
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
AAAI 2025
CMT-Eval: A Novel Chinese Multi-turn Dialogue Evaluation Dataset Addressing Real-world Conversational Challenges
EMNLP 2025
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
AAAI 2025
CNLP-NITS-PP at GenAI Detection Task 1: AI-Generated Text Using Transformer-Based Approaches
COLING 2025
CNLP-NITS-PP at GenAI Detection Task 3: Cross-Domain Machine-Generated Text Detection Using DistilBERT Techniques
COLING 2025
CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
ICCV 2025
CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition
ACL 2025