Jake Zhao

Publications by Year

Research Areas

Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning, Multimodal Machine Learning Applications

Most-Cited Works

• → End to End Learning for Self-Driving Cars(2016)3,101 cited
• → Levenshtein Transformer(2019)186 cited
• → Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation(2022)14 cited
• → Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples(2018)10 cited
• → Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples(2019)8 cited
• → Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models(2024)
• → Joining datasets via data augmentation in the label space for neural\n networks(2021)