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)
RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection
CVPR 2025
RAG based Question Answering of Korean Laws and Precedents
ACL 2025
RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation
ICCV 2025
RAG-Enhanced Neural Machine Translation of Ancient Egyptian Text: A Case Study of THOTH AI
NAACL 2025
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
EMNLP 2025
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
ACL 2025
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
EMNLP 2025
RAGG: Retrieval-Augmented Grasp Generation Model
AAAI 2025
RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression
ICLR 2025
RAGulator: Effective RAG for Regulatory Question Answering
COLING 2025
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
EMNLP 2025
RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning
EMNLP 2025
RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
ICCV 2025
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
EMNLP 2025
RALS: Resources and Baselines for Romanian Automatic Lexical Simplification
EMNLP 2025
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition
IJCAI 2025
Random at GenAI Detection Task 3: A Hybrid Approach to Cross-Domain Detection of Machine-Generated Text with Adversarial Attack Mitigation
COLING 2025
Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising
ICLR 2025
Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback
IJCAI 2025
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests
JMLR 2025
Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance
ACL 2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
CVPR 2025
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
NAACL 2025
Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data
EMNLP 2025
RANKCLIP: Ranking-Consistent Language-Image Pretraining
ICCV 2025