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)
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels
CVPR 2021
Relating Adversarially Robust Generalization to Flat Minima
ICCV 2021
Relational Classification of Biological Cells in Microscopy Images
AAAI 2021
Relation Also Need Attention: Integrating Relation Information Into Image Captioning
ACML 2021
Relative Importance in Sentence Processing
ACL 2021
Relative Uncertainty Learning for Facial Expression Recognition
NeurIPS 2021
Relative Variational Intrinsic Control
AAAI 2021
Relevance-CAM: Your Model Already Knows Where To Look
CVPR 2021
Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract)
AAAI 2021
ReMix: Towards Image-to-Image Translation With Limited Data
CVPR 2021
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
AAAI 2021
Repetitive Activity Counting by Sight and Sound
CVPR 2021
Repopulating Street Scenes
CVPR 2021
Representation Balancing Offline Model-based Reinforcement Learning
ICLR 2021
Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems
Interspeech 2021
Representation Learning via Global Temporal Alignment and Cycle-Consistency
CVPR 2021
Representation Matters: Offline Pretraining for Sequential Decision Making
ICML 2021
Representative Forgery Mining for Fake Face Detection
CVPR 2021
RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy
ACL 2021
Repurposing GANs for One-Shot Semantic Part Segmentation
CVPR 2021
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
AAAI 2021
Restore From Restored: Video Restoration With Pseudo Clean Video
CVPR 2021
Restoring Extremely Dark Images in Real Time
CVPR 2021
Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.
ICCV 2021
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning
CVPR 2021