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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'20
'25
Papers (including subtopics)
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information
EMNLP 2025
Improving Reward Model Generalization from Adversarial Process Enhanced Preferences
ICML 2025
Improving Reward Models with Synthetic Critiques
NAACL 2025
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity
CVPR 2025
Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data
ACL 2025
Improving Sign Language Understanding with a Multi-Stream Masked Autoencoder Trained on ASL Videos
IJCNLP 2025
Improving Sound Source Localization with Joint Slot Attention on Image and Audio
CVPR 2025
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs
EMNLP 2025
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics
ACL 2025
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
CVPR 2025
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
COLING 2025
Improving Transferable Targeted Attacks with Feature Tuning Mixup
CVPR 2025
Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration
CVPR 2025
Improving Word Alignment Using Semi-Supervised Learning
ACL 2025
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
ICML 2025
Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence
WACV 2025
Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning
EMNLP 2025
Imputation for prediction: beware of diminishing returns.
ICLR 2025
Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
CVPR 2025
Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation
IJCAI 2025
In Benchmarks We Trust ... Or Not?
EMNLP 2025
Incepto@DravidianLangTech 2025: Detecting Abusive Tamil and Malayalam Text Targeting Women on YouTube
NAACL 2025
Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model
AAAI 2025
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion
AAAI 2025
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis
AAAI 2025