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)
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition
NeurIPS 2022
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification
AAAI 2022
Section Classification in Clinical Notes with Multi-task Transformers
EMNLP 2022
Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge
ACL 2022
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
ACL 2022
SeeTek: Very Large-Scale Open-Set Logo Recognition With Text-Aware Metric Learning
WACV 2022
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information
CVPR 2022
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
WACV 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
NeurIPS 2022
Selecting Optimal Context Sentences for Event-Event Relation Extraction
AAAI 2022
Selecting Stickers in Open-Domain Dialogue through Multitask Learning
ACL 2022
Selective Differential Privacy for Language Modeling
NAACL 2022
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations
AAAI 2022
Self-Consistency of the Fokker Planck Equation
COLT 2022
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation
COLING 2022
Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification
IJCAI 2022
Self-supervised Amodal Video Object Segmentation
NeurIPS 2022
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
CVPR 2022
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data
AAAI 2022
Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography
CVPR 2022
Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation
AAAI 2022
Self-Supervised Correlation Mining Network for Person Image Generation
CVPR 2022
Self-Supervised Enhancement of Latent Discovery in GANs
AAAI 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
CVPR 2022
Self-Supervised Fair Representation Learning without Demographics
NeurIPS 2022