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)
Dynamic Memory based Attention Network for Sequential Recommendation
AAAI 2021
Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales
CVPR 2021
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
CVPR 2021
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
AAAI 2021
Dynamic Popularity-Aware Contrastive Learning for Recommendation
ACML 2021
Dynamic Position-aware Network for Fine-grained Image Recognition
AAAI 2021
Dynamic Terminology Integration for COVID-19 and Other Emerging Domains
EMNLP 2021
Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder
AAAI 2021
Dynamic Transfer for Multi-Source Domain Adaptation
CVPR 2021
Dynamic Weighted Learning for Unsupervised Domain Adaptation
CVPR 2021
DynaVSR: Dynamic Adaptive Blind Video Super-Resolution
WACV 2021
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation
ACL 2021
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping
CVPR 2021
E2E-Based Multi-Task Learning Approach to Joint Speech and Accent Recognition
Interspeech 2021
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning
ACL 2021
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition
AAAI 2021
Ecco: An Open Source Library for the Explainability of Transformer Language Models
ACL 2021
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract)
AAAI 2021
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps
ICCV 2021
EDGAR-CORPUS: Billions of Tokens Make The World Go Round
EMNLP 2021
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT
EMNLP 2021
Editing Factual Knowledge in Language Models
EMNLP 2021
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
ICLR 2021
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Effective Sequence-to-Sequence Dialogue State Tracking
EMNLP 2021