Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Question Translation Training for Better Multilingual Reasoning
ACL 2024
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
NeurIPS 2024
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
CVPR 2024
R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
EMNLP 2024
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems
EMNLP 2024
RAFT: Realistic Attacks to Fool Text Detectors
EMNLP 2024
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance
EMNLP 2024
RAG-Fusion Based Information Retrieval for Fact-Checking
EMNLP 2024
RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation
EMNLP 2024
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
EMNLP 2024
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
EMNLP 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NeurIPS 2024
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
ACL 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
ACL 2024
RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness
NeurIPS 2024
Random Entangled Tokens for Adversarially Robust Vision Transformer
CVPR 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
NeurIPS 2024
Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems
EMNLP 2024
Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks
UAI 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations
NeurIPS 2024
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning
WACV 2024
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
CVPR 2024
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
ACL 2024
RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
CVPR 2024
RAR: Retrieval-augmented retrieval for code generation in low resource languages
EMNLP 2024