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)
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
ACL 2025
RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task
EMNLP 2025
RAP: A Metric for Balancing Repetition and Performance in Open-Source Large Language Models
NAACL 2025
Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
ICLR 2025
Rapid Word Learning Through Meta In-Context Learning
EMNLP 2025
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
CVPR 2025
RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning
ICCV 2025
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
ACL 2025
RareSyn: Health Record Synthesis for Rare Disease Diagnosis
EMNLP 2025
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
ICLR 2025
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning
AAAI 2025
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
CVPR 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
AAAI 2025
RATHAN@DravidianLangTech 2025: Annaparavai - Separate the Authentic Human Reviews from AI-generated one
NAACL 2025
Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment
ACL 2025
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning
ACL 2025
RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning
EMNLP 2025
RAV: Retrieval-Augmented Voting for Tactile Descriptions Without Training
EMNLP 2025
RayZer: A Self-supervised Large View Synthesis Model
ICCV 2025
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting
AAAI 2025
razreshili at ArchEHR-QA 2025: Contrastive Fine-Tuning for Retrieval-Augmented Biomedical QA
ACL 2025
RBG-AI: Benefits of Multilingual Language Models for Low-Resource Languages
EMNLP 2025
RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning
UAI 2025
RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks
EMNLP 2025
RCScore: Quantifying Response Consistency in Large Language Models
EMNLP 2025