End to End
"End-to-end" systems aim to streamline complex processes by integrating multiple stages into a single, unified model, eliminating the need for intermediate steps and potentially improving efficiency and performance. Current research focuses on applying this approach across diverse fields, utilizing architectures like transformers, reinforcement learning, and spiking neural networks to tackle challenges in autonomous driving, robotics, speech processing, and natural language processing. This approach offers significant potential for improving the accuracy, speed, and robustness of various applications, while also simplifying development and deployment.
Papers
End-to-End Image-Based Fashion Recommendation
Shereen Elsayed, Lukas Brinkmeyer, Lars Schmidt-Thieme
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog
Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He
Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems
Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Tharindu Wickremasinghe, Chalani Ekanayake, Ranga Rodrigo, Peshala Jayasekara
Zero-Touch Network on Industrial IoT: An End-to-End Machine Learning Approach
Shih-Chun Lin, Chia-Hung Lin, Wei-Chi Chen
Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure
Siqi Zheng, Hongbin Suo
Estimating the Resize Parameter in End-to-end Learned Image Compression
Li-Heng Chen, Christos G. Bampis, Zhi Li, Lukáš Krasula, Alan C. Bovik
A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning
Md Mofijul Islam, Gustavo Aguilar, Pragaash Ponnusamy, Clint Solomon Mathialagan, Chengyuan Ma, Chenlei Guo
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR
W. Ronny Huang, Shuo-yiin Chang, David Rybach, Rohit Prabhavalkar, Tara N. Sainath, Cyril Allauzen, Cal Peyser, Zhiyun Lu
An Efficient End-to-End Deep Neural Network for Interstitial Lung Disease Recognition and Classification
Masum Shah Junayed, Afsana Ahsan Jeny, Md Baharul Islam, Ikhtiar Ahmed, A F M Shahen Shah
Layer-wise Fast Adaptation for End-to-End Multi-Accent Speech Recognition
Xun Gong, Yizhou Lu, Zhikai Zhou, Yanmin Qian
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging
Tzofi Klinghoffer, Siddharth Somasundaram, Kushagra Tiwary, Ramesh Raskar