Learning Paradigms
14,967 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Transfer Learning (8,172)
Few-Shot Learning (2,681)
Meta-Learning (1,719)
Federated Learning (1,560)
Zero-Shot Learning (878)
Continual Learning (189)
Domain Adaptation (184)
Self-Supervised Learning (158)
Active Learning (154)
Multi-Task Learning (145)
Semi-Supervised Learning (86)
In-Context Learning (53)
Unsupervised Learning (53)
Domain Generalization (26)
Weakly Supervised Learning (23)
Papers per year
3
2
4
12
24
14
20
29
31
32
66
53
67
103
206
482
852
1,124
1,566
1,867
2,410
2,658
2,486
856
'5
'10
'15
'20
'25
Papers (including subtopics)
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
ICML 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently
NeurIPS 2023
Modularized Zero-shot VQA with Pre-trained Models
ACL 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data
JMLR 2023
Modular Speech-to-Text Translation for Zero-Shot Cross-Modal Transfer
Interspeech 2023
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
EMNLP 2023
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
ICML 2023
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model
EMNLP 2023
MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network
WACV 2023
MotionBERT: A Unified Perspective on Learning Human Motion Representations
ICCV 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
EMNLP 2023
MovieCLIP: Visual Scene Recognition in Movies
WACV 2023
Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance
AAAI 2023
MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition
ICCV 2023
mSCAN: A Dataset for Multilingual Compositional Generalisation Evaluation
EMNLP 2023
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model
AAAI 2023
MT2: Towards a Multi-Task Machine Translation Model with Translation-Specific In-Context Learning
EMNLP 2023
MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets
Interspeech 2023
MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation
ACL 2023
Multi-Agent Automated Machine Learning
CVPR 2023
Multi-Agent Learning from Learners
ICML 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits
NeurIPS 2023
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
NeurIPS 2023
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking
ACL 2023
Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data?
Interspeech 2023