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)
OntoProtein: Protein Pretraining With Gene Ontology Embedding
ICLR 2022
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression
AAAI 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
NeurIPS 2022
Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources
CVPR 2022
Open Domain Question Answering with A Unified Knowledge Interface
ACL 2022
Open-domain Video Commentary Generation
EMNLP 2022
Open-ended Knowledge Tracing for Computer Science Education
EMNLP 2022
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages
ACL 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
NeurIPS 2022
OpenPrompt: An Open-source Framework for Prompt-learning
ACL 2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology
NeurIPS 2022
Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning
EMNLP 2022
Open Vocabulary Extreme Classification Using Generative Models
ACL 2022
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
CVPR 2022
Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation
CVPR 2022
Open World Classification with Adaptive Negative Samples
EMNLP 2022
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity
CVPR 2022
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction
ACL 2022
Optimal LED Spectral Multiplexing for NIR2RGB Translation
CVPR 2022
Optimal Positive Generation via Latent Transformation for Contrastive Learning
NeurIPS 2022
Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise
COLT 2022
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
ICLR 2022
Optimizer Amalgamation
ICLR 2022
Optum’s Submission to WMT22 Biomedical Translation Tasks
EMNLP 2022
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
NeurIPS 2022