Jake Zhao

According to our database, Jake Zhao authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models.

Yiming Zhang, Hantao Yang, Haobo Wang, Jake Zhao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022

Benchmarking Domain Generalization on EEG-based Emotion Recognition.

Yan Li, Hao Chen, Jake Zhao, Haolan Zhang, Jinpeng Li

CoRR, 2022

Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation.

Ru Peng, Yawen Zeng, Jake Zhao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Joining datasets via data augmentation in the label space for neural networks.

Jake Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen

CoRR, 2021

A critical look at the current train/test split in machine learning.

Jimin Tan, Jianan Yang, Sai Wu, Gang Chen, Jake Zhao

CoRR, 2021

2020

Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System.

Daniel Chin, Yian Zhang, Tianyu Zhang, Jake Zhao, Gus Xia

CoRR, 2020

2019

Levenshtein Transformer.

Jiatao Gu, Changhan Wang, Jake Zhao

CoRR, 2019

Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples.

Jake Zhao, Kyunghyun Cho

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples.

Jake Zhao, Kyunghyun Cho

CoRR, 2018

2016

End to End Learning for Self-Driving Cars.

Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, Karol Zieba

CoRR, 2016