What. hack: engaging anti-phishing training through a role-playing phishing simulation game ZA Wen, Z Lin, R Chen, E Andersen Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 139 | 2019 |
The clear benchmark: Continual learning on real-world imagery Z Lin, J Shi, D Pathak, D Ramanan Thirty-fifth conference on neural information processing systems datasets …, 2021 | 73 | 2021 |
Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models Z Lin, S Yu, Z Kuang, D Pathak, D Ramanan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 61 | 2023 |
Qpytorch: A low-precision arithmetic simulation framework T Zhang, Z Lin, G Yang, C De Sa 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 60 | 2019 |
Visual chirality Z Lin, J Sun, A Davis, N Snavely Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 35 | 2020 |
Revisiting the Role of Language Priors in Vision-Language Models Z Lin, X Chen, D Pathak, P Zhang, D Ramanan arXiv preprint arXiv:2306.01879, 2024 | 13* | 2024 |
Language models as black-box optimizers for vision-language models S Yu, S Liu, Z Lin, D Pathak, D Ramanan arXiv preprint arXiv:2309.05950, 2023 | 7 | 2023 |
Continual learning with evolving class ontologies Z Lin, D Pathak, YX Wang, D Ramanan, S Kong Advances in Neural Information Processing Systems 35, 7671-7684, 2022 | 6 | 2022 |
Intermediate level adversarial attack for enhanced transferability Q Huang, Z Gu, I Katsman, H He, P Pawakapan, Z Lin, S Belongie, ... arXiv preprint arXiv:1811.08458, 2018 | 5 | 2018 |
The Neglected Tails of Vision-Language Models S Parashar, Z Lin, T Liu, X Dong, Y Li, D Ramanan, J Caverlee, S Kong arXiv preprint arXiv:2401.12425, 2024 | 4 | 2024 |
Streaming self-training via domain-agnostic unlabeled images Z Lin, D Ramanan, A Bansal arXiv preprint arXiv:2104.03309, 2021 | 4 | 2021 |
Prompting scientific names for zero-shot species recognition S Parashar, Z Lin, Y Li, S Kong arXiv preprint arXiv:2310.09929, 2023 | 2 | 2023 |
Evaluating Text-to-Visual Generation with Image-to-Text Generation Z Lin, D Pathak, B Li, J Li, X Xia, G Neubig, P Zhang, D Ramanan arXiv preprint arXiv:2404.01291, 2024 | 1 | 2024 |
Learning with an evolving class ontology Z Lin, D Pathak, YX Wang, D Ramanan, S Kong arXiv preprint arXiv:2210.04993, 2022 | 1 | 2022 |
InstructPart: Affordance-based Part Segmentation from Language Instruction Z Wan, Y Xie, C Zhang, Z Lin, Z Wang, S Stepputtis, D Ramanan, ... AAAI-2024 Workshop on Public Sector LLMs: Algorithmic and Sociotechnical Design, 2024 | | 2024 |
GenAI-Bench: A Holistic Benchmark for Compositional Text-to-Visual Generation B Li, Z Lin, D Pathak, JE Li, X Xia, G Neubig, P Zhang, D Ramanan Synthetic Data for Computer Vision Workshop@ CVPR 2024, 0 | | |
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing-NeurIPS Edition (EMC2-NIPS)| 978-1-6654-2418-9/19/$31.00© 2019 IEEE| DOI: 10.1109/EMC2 … R Appuswamy, JV Arthur, D Bablani, D Badawi, A Ball, J Beu, T Bluche, ... | | |
EMC2-NIPS 2019 JL McKinstry, SK Esser, R Appuswamy, D Bablani, JV Arthur, IB Yildiz, ... | | |
Visual Chirality—Supplemental Material: Commutativity and the Chirality of Imaging Processes Z Lin, J Sun, A Davis, N Snavely, C Tech | | |