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Dian Ang Yap
Dian Ang Yap
Verified email at stanford.edu
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Year
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
392023
Bert learns (and teaches) chemistry
J Payne, M Srouji, DA Yap, V Kosaraju
arXiv preprint arXiv:2007.16012, 2020
152020
Understanding adversarial robustness through loss landscape geometries
VU Prabhu, DA Yap, J Xu, J Whaley
arXiv preprint arXiv:1907.09061, 2019
122019
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
102019
Deep connectomics networks: Neural network architectures inspired by neuronal networks
N Roberts, DA Yap, VU Prabhu
arXiv preprint arXiv:1912.08986, 2019
72019
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
72019
On detecting adversarial inputs with entropy of saliency maps
DA Yap, J Xu, VU Prabhu
CV-COPS, IEEE CVPR, 2019
52019
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
52019
Faster transformers for document summarization
V Kosaraju, YD Ang, Z Nabulsi
Vineet Kosaraju, 2019
32019
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
22019
ASeed-AUGMENT-TRAIN FRAMEWORK FOR UNIVER
VU Prabhu, S Han, DA Yap, M Douhaniaris, P Seshadri
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
Grassmannian initialization: Neural network initialization using sub-space packing
VU Prabhu, DA Yap
Deep Queue Learning
A Datta, DA Yap, Z Yan
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Articles 1–17