Alvin Chan
Orcid: 0000-0002-1041-3891
According to our database1,
Alvin Chan
authored at least 25 papers
between 2015 and 2023.
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Bibliography
2023
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article].
IEEE Comput. Intell. Mag., May, 2023
2022
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples.
IEEE Trans. Neural Networks Learn. Syst., 2022
Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks.
CoRR, 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges.
CoRR, 2022
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks.
CoRR, 2019
2018
CoRR, 2018
2015
IEEE Trans. Computers, 2015
Characterization of copper precipitates on aluminum copper bond pads formed after plasma clean and de-ionized water exposure.
Microelectron. Reliab., 2015