| Tract: Denoising diffusion models with transitive closure time-distillation D Berthelot, A Autef, J Lin, DA Yap, S Zhai, S Hu, D Zheng, W Talbott, ... arXiv preprint arXiv:2303.04248, 2023 | 24 | 2023 |
| Bert learns (and teaches) chemistry J Payne, M Srouji, DA Yap, V Kosaraju arXiv preprint arXiv:2007.16012, 2020 | 14 | 2020 |
| Understanding adversarial robustness through loss landscape geometries VU Prabhu, DA Yap, J Xu, J Whaley arXiv preprint arXiv:1907.09061, 2019 | 11 | 2019 |
| Fonts-2-handwriting: A seed-augment-train framework for universal digit classification VU Prabhu, S Han, DA Yap, M Douhaniaris, P Seshadri, J Whaley arXiv preprint arXiv:1905.08633, 2019 | 9 | 2019 |
| Deep connectomics networks: Neural network architectures inspired by neuronal networks N Roberts, DA Yap, VU Prabhu arXiv preprint arXiv:1912.08986, 2019 | 7 | 2019 |
| Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance VU Prabhu, DA Yap, A Wang, J Whaley arXiv preprint arXiv:1907.12917, 2019 | 6 | 2019 |
| On detecting adversarial inputs with entropy of saliency maps DA Yap, J Xu, VU Prabhu CV-COPS, IEEE CVPR, 2019 | 4 | 2019 |
| Understanding adversarial robustness through loss landscape geometries J Xu, DA Yap, VU Prabhu Proc. of the International Conference on Machine Learning (ICML) Workshops 18, 2019 | 4 | 2019 |
| Grassmannian packings in neural networks: learning with maximal subspace packings for diversity and anti-sparsity DA Yap, N Roberts, VU Prabhu arXiv preprint arXiv:1911.07418, 2019 | 2 | 2019 |
| Faster Transformers for Document Summarization V Kosaraju, YD Ang, Z Nabulsi Stanford, 2019 | 2 | 2019 |
| Grassmannian initialization: Neural network initialization using sub-space packing VU Prabhu, DA Yap | | 2019 |
| Covering up bias with Markov blankets: A post-hoc cure for attribute prior avoidance V Prabhu, DA Yap, A Wang | | |
| CS 229 Final Report A Datta, DA Yap, Z Yan | | |
| Garbage in, model out: Weight theft with just noise N Roberts, VU Prabhu, DA Yap, M McAteer | | |
| Faster Transformers for Document Summarization DA Yap, V Kosaraju, Z Nabulsi | | |
| Deep Queue Learning A Datta, DA Yap, Z Yan | | |
