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)
RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models
ACL 2025
Rate of Model Collapse in Recursive Training
AISTATS 2025
RATHAN@DravidianLangTech 2025: Annaparavai - Separate the Authentic Human Reviews from AI-generated one
NAACL 2025
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability
ACL 2025
Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment
ACL 2025
RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language
EMNLP 2025
RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning
ACL 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
R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models
EMNLP 2025
RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning
UAI 2025
RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network
CVPR 2025
RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks
EMNLP 2025
RCTDistill: Cross-Modal Knowledge Distillation Framework for Radar-Camera 3D Object Detection with Temporal Fusion
ICCV 2025
RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations
EMNLP 2025
R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration
AAAI 2025
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
AAAI 2025
Re3Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training
ACL 2025
ReAct Meets Industrial IoT: Language Agents for Data Access
EMNLP 2025
Read, Watch and Scream! Sound Generation from Text and Video
AAAI 2025
ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving
ICCV 2025
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
EMNLP 2025
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
CVPR 2025
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
AAAI 2025