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)
Regularizing Learnable Feature Extraction for Automatic Speech Recognition
Interspeech 2025
REIC: RAG-Enhanced Intent Classification at Scale
EMNLP 2025
Re-identification of De-identified Documents with Autoregressive Infilling
ACL 2025
Reimagining Safety Alignment with An Image
EMNLP 2025
ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model
WACV 2025
Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval
ACL 2025
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization
AAAI 2025
Reinforcement Learning for Large Language Models via Group Preference Reward Shaping
EMNLP 2025
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
AAAI 2025
RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation
ACL 2025
Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning
ACML 2025
ReLearn: Unlearning via Learning for Large Language Models
ACL 2025
Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification
IJCAI 2025
RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
EMNLP 2025
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
CVPR 2025
ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters
AAAI 2025
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models
AAAI 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
WACV 2025
Removing Prompt-template Bias in Reinforcement Learning from Human Feedback
ACL 2025
ReMP-AD: Retrieval-enhanced Multi-modal Prompt Fusion for Few-Shot Industrial Visual Anomaly Detection
ICCV 2025
RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation
WACV 2025
ReNeg: Learning Negative Embedding with Reward Guidance
CVPR 2025
RePanda: Pandas-powered Tabular Verification and Reasoning
ACL 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
AAAI 2025
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
AAAI 2025