Yao Qin

Affiliations:

University of California Santa Barbara, Department of Electrical and Computer Engineering, CA, USA
University of California San Diego, CA, USA (PhD)

According to our database¹, Yao Qin authored at least 31 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Conflict-Aware Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2024

NutriBench: A Dataset for Evaluating Large Language Models in Carbohydrate Estimation from Meal Descriptions.

[BibT_eX]

[DOI]

CoRR, 2024

Automated Adversarial Discovery for Safety Classifiers.

[BibT_eX]

[DOI]

CoRR, 2024

A Minimalist Prompt for Zero-Shot Policy Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Fast Decision Boundary based Out-of-Distribution Detector.

[BibT_eX]

[DOI]

Litian Liu

Yao Qin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Initialization Matters for Adversarial Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Detecting Out-of-Distribution Through the Lens of Neural Collapse.

[BibT_eX]

[DOI]

Litian Liu

Yao Qin

CoRR, 2023

Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Robust Prompts on Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Training Deep Boltzmann Networks with Sparse Ising Machines.

[BibT_eX]

[DOI]

CoRR, 2023

What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel.

[BibT_eX]

[DOI]

Yao Qin

Xuezhi Wang

Balaji Lakshminarayanan

Ed H. Chi

Alex Beutel

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation.

[BibT_eX]

[DOI]

Yao Qin

Chiyuan Zhang

Ting Chen

Balaji Lakshminarayanan

Alex Beutel

Xuezhi Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Are Vision Transformers Robust to Patch Perturbations?

[BibT_eX]

[DOI]

Jindong Gu

Volker Tresp

Yao Qin

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Improving Calibration through the Relationship with Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Detecting, Diagnosing, Deflecting and Designing Adversarial Attacks.

[BibT_eX]

[DOI]

Yao Qin

PhD thesis, 2020

Improving Uncertainty Estimates through the Relationship with Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2020

Deflecting Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Hierarchical Cellular Automata for Visual Saliency.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

Autofocus Layer for Semantic Segmentation.

[BibT_eX]

[DOI]

Yao Qin

Konstantinos Kamnitsas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015

Saliency detection via Cellular Automata.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Yao Qin

Timeline

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