Jake Zhao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 10

Top Topics

Multimodal Information

Document Retrieval

Convolutional Neural Networks

Top Venues

Publications

Yiming Zhang, Hantao Yang, Haobo Wang, Jake Zhao
Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models. LREC/COLING (2024)
Yan Li, Hao Chen, Jake Zhao, Haolan Zhang, Jinpeng Li
Benchmarking Domain Generalization on EEG-based Emotion Recognition. CoRR (2022)
Ru Peng, Yawen Zeng, Jake Zhao
Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation. EMNLP (2022)
Jimin Tan, Jianan Yang, Sai Wu, Gang Chen, Jake Zhao
A critical look at the current train/test split in machine learning. CoRR (2021)
Jake Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen
Joining datasets via data augmentation in the label space for neural networks. CoRR (2021)
Daniel Chin, Yian Zhang, Tianyu Zhang, Jake Zhao, Gus Xia
Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System. CoRR (2020)
Jake Zhao, Kyunghyun Cho
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples. CVPR (2019)
Jiatao Gu, Changhan Wang, Jake Zhao
Levenshtein Transformer. CoRR (2019)
Jake Zhao, Kyunghyun Cho
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples. CoRR (2018)
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
End to End Learning for Self-Driving Cars. CoRR (2016)