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
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'25
Papers (including subtopics)
Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task
EMNLP 2021
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?
EMNLP 2021
Multilingual Paraphrase Generation For Bootstrapping New Features in Task-Oriented Dialog Systems
EMNLP 2021
Multilingual Sequence Labeling Approach to solve Lexical Normalization
EMNLP 2021
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models
ACL 2021
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters
EMNLP 2021
MultiMET: A Multimodal Dataset for Metaphor Understanding
ACL 2021
Multimodal Clustering Networks for Self-Supervised Learning From Unlabeled Videos
ICCV 2021
Multimodal Contrastive Training for Visual Representation Learning
CVPR 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
CVPR 2021
Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition
AAAI 2021
Multi-Modality Associative Bridging Through Memory: Speech Sound Recollected From Face Video
ICCV 2021
Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing
AAAI 2021
Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines
ACL 2021
Multi-Modal Open-Domain Dialogue
EMNLP 2021
Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes
ACL 2021
Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval
CVPR 2021
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models
EMNLP 2021
Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks
ACL 2021
Multimodal Speech Summarization Through Semantic Concept Learning
Interspeech 2021
Multi-Objective Interpolation Training for Robustness To Label Noise
CVPR 2021
Multi-Objective Meta Learning
NeurIPS 2021
Multi-Perspective LSTM for Joint Visual Representation Learning
CVPR 2021
Multiple Heads Are Better Than One: Few-Shot Font Generation With Multiple Localized Experts
ICCV 2021
Multiple Object Tracking With Correlation Learning
CVPR 2021