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
'5
'10
'15
'20
'25
Papers (including subtopics)
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
ICLR 2025
RouterRetriever: Routing over a Mixture of Expert Embedding Models
AAAI 2025
RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering
EMNLP 2025
RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis
IJCAI 2025
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack
AAAI 2025
R-PRM: Reasoning-Driven Process Reward Modeling
EMNLP 2025
RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human Feedback
COLING 2025
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark
CVPR 2025
RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-Based Models and Threshold Tuning
SemEval 2025
RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision
WACV 2025
RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning
ICLR 2025
RTMap: Real-Time Recursive Mapping with Change Detection and Localization
ICCV 2025
R-TOFU: Unlearning in Large Reasoning Models
EMNLP 2025
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
CVPR 2025
Rubic2: Ensemble Model for Russian Lemmatization
ACL 2025
Rubric-Constrained Figure Skating Scoring
WACV 2025
Rubrik’s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
ACL 2025
RUBY: An Effective Framework for Multi-Constraint Multi-Hop Question Generation
ACL 2025
RUIE: Retrieval-based Unified Information Extraction using Large Language Model
COLING 2025
RUKA: Rethinking the Design of Humanoid Hands with Learning
RSS 2025
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
ACL 2025
Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection
EMNLP 2025
RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation
NAACL 2025
s1: Simple test-time scaling
EMNLP 2025