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)
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
NeurIPS 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning
NeurIPS 2024
GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection
CVPR 2024
Game-Theoretic Unlearnable Example Generator
AAAI 2024
GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation
NeurIPS 2024
Gated Inference Network: Inference and Learning State-Space Models
NeurIPS 2024
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
CVPR 2024
Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
NeurIPS 2024
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
NeurIPS 2024
Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process
AAAI 2024
GC-Bench: An Open and Unified Benchmark for Graph Condensation
NeurIPS 2024
GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning
UAI 2024
GC-VTON: Predicting Globally Consistent and Occlusion Aware Local Flows With Neighborhood Integrity Preservation for Virtual Try-On
WACV 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation
CVPR 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets
EMNLP 2024
GE2PE: Persian End-to-End Grapheme-to-Phoneme Conversion
EMNLP 2024
GENDEX: Generative Data Augmentation Strategy Leveraging External Data for Abstractive Dialogue Summarization
ACL 2024
General Collaborative Framework between Large Language Model and Experts for Universal Information Extraction
EMNLP 2024
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation
AAAI 2024
Generalizable Implicit Motion Modeling for Video Frame Interpolation
NeurIPS 2024
Generalizable Person Re-identification via Balancing Alignment and Uniformity
NeurIPS 2024
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
AAAI 2024
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
ACL 2024
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
CVPR 2024
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction
AAAI 2024