Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances
Despite its astounding success in learning deeper multi-dimensional data, the performance of deep learning declines on new unseen tasks mainly due to its focus on same-distribution prediction. Moreover, deep learning is notorious for poor generalization ...
Multi-Task Learning in Natural Language Processing: An Overview
Deep learning approaches have achieved great success in the field of Natural Language Processing (NLP). However, directly training deep neural models often suffer from overfitting and data scarcity problems that are pervasive in NLP tasks. In recent years,...
Recent Advances for Aerial Object Detection: A Survey
Aerial object detection, as object detection in aerial images captured from an overhead perspective, has been widely applied in urban management, industrial inspection, and other aspects. However, the performance of existing aerial object detection ...
Visual Tuning
- Bruce X.B. Yu,
- Jianlong Chang,
- Haixin Wang,
- Lingbo Liu,
- Shijie Wang,
- Zhiyu Wang,
- Junfan Lin,
- Lingxi Xie,
- Haojie Li,
- Zhouchen Lin,
- Qi Tian,
- Chang Wen Chen
Fine-tuning visual models has been widely shown promising performance on many downstream visual tasks. With the surprising development of pre-trained visual foundation models, visual tuning jumped out of the standard modus operandi that fine-tunes the ...
On Identity, Transaction, and Smart Contract Privacy on Permissioned and Permissionless Blockchain: A Comprehensive Survey
Blockchain is a decentralized distributed ledger that combines multiple technologies, including chain data structures, P2P networks, consensus algorithms, cryptography, and smart contracts. This gives the blockchain the characteristics of decentralization,...
