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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Papers (including subtopics)
Claim-Guided Textual Backdoor Attack for Practical Applications
NAACL 2025
ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM
ACL 2025
CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models
NAACL 2025
CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages
ACL 2025
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation
WACV 2025
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
AAAI 2025
Class-Conditioned Transformation for Enhanced Robust Image Classification
WACV 2025
CLASSER: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition
IJCNLP 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
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
CVPR 2025
Classifying Textual Genre in Historical Magazines (1875-1990)
NAACL 2025
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
AISTATS 2025
Class Semantic Attribute Perception Guided Zero-Shot Learning
AAAI 2025
Class Token as Proxy: Optimal Transport-assisted Proxy Learning for Weakly Supervised Semantic Segmentation
ICCV 2025
Class-Wise Federated Averaging for Efficient Personalization
ICCV 2025
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
AAAI 2025
CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis
EMNLP 2025
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
WACV 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
ICLR 2025
Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs
ACL 2025
CLEAR: Character Unlearning in Textual and Visual Modalities
ACL 2025
Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback
COLING 2025
CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction
ACL 2025