| Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models G Stein, J Cresswell, R Hosseinzadeh, Y Sui, B Ross, V Villecroze, Z Liu, ... Advances in Neural Information Processing Systems 36, 3732-3784, 2023 | 70 | 2023 |
| Representer point selection via local jacobian expansion for post-hoc classifier explanation of deep neural networks and ensemble models Y Sui, G Wu, S Sanner Advances in neural information processing systems 34, 23347-23358, 2021 | 20 | 2021 |
| Conformal prediction sets improve human decision making JC Cresswell, Y Sui, B Kumar, N Vouitsis arXiv preprint arXiv:2401.13744, 2024 | 18 | 2024 |
| Find your friends: Personalized federated learning with the right collaborators Y Sui, J Wen, Y Lau, BL Ross, JC Cresswell arXiv preprint arXiv:2210.06597, 2022 | 15 | 2022 |
| Self-supervised representation learning from random data projectors Y Sui, T Wu, JC Cresswell, G Wu, G Stein, XS Huang, X Zhang, M Volkovs arXiv preprint arXiv:2310.07756, 2023 | 6 | 2023 |
| Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction Y Sui, G Wu, S Sanner arXiv preprint arXiv:2110.01794, 2021 | 2 | 2021 |
| Tabular data contrastive learning via class-conditioned and feature-correlation based augmentation W Cui, R Hosseinzadeh, J Ma, T Wu, Y Sui, K Golestan arXiv preprint arXiv:2404.17489, 2024 | 1 | 2024 |
| Model evaluation metrics and effective model selection GF Stein, JC Cresswell, R Hosseinzadeh, Y Sui, BL Ross, VV Villecroze, ... US Patent App. 18/738,557, 2024 | | 2024 |
| Bayesian network Motifs for reasoning over heterogeneous unlinked datasets Y Sui, A Kwan, AW Olson, S Sanner, DA Silver Data Mining and Knowledge Discovery 38 (6), 3643-3689, 2024 | | 2024 |
| Calibrated model intervention with conformal threshold JC Cresswell, N Vouitsis, Y Sui US Patent App. 18/618,757, 2024 | | 2024 |
| Conformal Prediction Sets Can Cause Disparate Impact JC Cresswell, B Kumar, Y Sui, M Belbahri arXiv preprint arXiv:2410.01888, 2024 | | 2024 |
| Real-time pre-approval of data exchanges using trained artificial intelligence processes N Vouitsis, JC Cresswell, X Zhang, Y Sui, P Starszyk, D Kumar, ... US Patent App. 18/138,413, 2024 | | 2024 |
| Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks A Kowalczuk, J Dubiński, AA Ghomi, Y Sui, G Stein, J Wu, JC Cresswell, ... arXiv preprint arXiv:2407.12588, 2024 | | 2024 |
| Distributed model training with collaboration weights for private data sets JC Cresswell, BL Ross, KHY Lau, J Wen, Y Sui US Patent App. 18/202,459, 2023 | | 2023 |
| DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks W Cui, Y Sui, JC Cresswell, K Golestan NeurIPS 2024 Workshop: Self-Supervised Learning-Theory and Practice, 0 | | |
Jesse C. CresswellLayer 6 AIPotvrđena adresa e-pošte na layer6.ai