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)
Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere
Interspeech 2025
Generalizable Audio Spoofing Detection using Non-Semantic Representations
Interspeech 2025
Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
ICML 2025
Generalizable Non-Line-of-Sight Imaging with Learnable Physical Priors
ICCV 2025
Generalization Analysis for Controllable Learning
ICML 2025
Generalization Analysis for Deep Contrastive Representation Learning
AAAI 2025
Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
ICML 2025
Generalization and Distributed Learning of GFlowNets
ICLR 2025
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
ICML 2025
Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
ICML 2025
Generalized Class Discovery in Instance Segmentation
AAAI 2025
Generalized Embedding Models for Industry 4.0 Applications
EMNLP 2025
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
AAAI 2025
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
CVPR 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
ICCV 2025
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation
CVPR 2025
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization
AAAI 2025
Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning
CVPR 2025
General Uncertainty Estimation with Delta Variances
AAAI 2025
Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models
MIDL 2025
Generating Diverse Training Samples for Relation Extraction with Large Language Models
ACL 2025
Generating Fine Details of Entity Interactions
EMNLP 2025
Generating Multi-Image Synthetic Data for Text-to-Image Customization
ICCV 2025
Generating Multimodal Driving Scenes via Next-Scene Prediction
CVPR 2025
Generating Q&A Benchmarks for RAG Evaluation in Enterprise Settings
ACL 2025