| 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 | 172 | 2019 |
| 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 | 111 | 2023 |
| 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 | 98 | 2021 |
| 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 | 75 | 2019 |
| 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 European Conference on Computer Vision, 366-384, 2024 | 63 | 2024 |
| An introduction to vision-language modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... arXiv preprint arXiv:2405.17247, 2024 | 52 | 2024 |
| Visual chirality Z Lin, J Sun, A Davis, N Snavely Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 36 | 2020 |
| The Neglected Tails in Vision-Language Models S Parashar*, Z Lin*, T Liu*, X Dong, Y Li, D Ramanan, J Caverlee, S Kong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 31 | 2024 |
| 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 | 30* | 2024 |
| Language models as black-box optimizers for vision-language models S Liu*, Z Lin*, S Yu*, R Lee, T Ling, D Pathak, D Ramanan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 27 | 2024 |
| GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation B Li*, Z Lin*, D Pathak, J Li, Y Fei, K Wu, T Ling, X Xia, P Zhang, G Neubig, ... Best Short Paper at Synthetic Data for Computer Vision Workshop@ CVPR 2024, 2024 | 22* | 2024 |
| 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 | 10 | 2022 |
| Prompting scientific names for zero-shot species recognition S Parashar, Z Lin, Y Li, S Kong arXiv preprint arXiv:2310.09929, 2023 | 9 | 2023 |
| Naturalbench: Evaluating vision-language models on natural adversarial samples B Li*, Z Lin*, W Peng*, JD Nyandwi*, D Jiang, Z Ma, S Khanuja, R Krishna, ... arXiv preprint arXiv:2410.14669, 2024 | 6 | 2024 |
| Streaming self-training via domain-agnostic unlabeled images Z Lin, D Ramanan, A Bansal arXiv preprint arXiv:2104.03309, 2021 | 6 | 2021 |
| 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 |
| Lca-on-the-line: Benchmarking out-of-distribution generalization with class taxonomies J Shi, G Gare, J Tian, S Chai, Z Lin, A Vasudevan, D Feng, F Ferroni, ... arXiv preprint arXiv:2407.16067, 2024 | 3 | 2024 |
| 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 | 2 | 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 |
| Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers C Mitra, B Huang, T Chai, Z Lin, A Arbelle, R Feris, L Karlinsky, T Darrell, ... arXiv preprint arXiv:2412.00142, 2024 | | 2024 |