Follow
Anshul Nasery
Anshul Nasery
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Mimoqa: Multimodal input multimodal output question answering
H Singh, A Nasery, D Mehta, A Agarwal, J Lamba, BV Srinivasan
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
82021
What if neural networks had SVDs?
A Mathiasen, F Hvilshøj, J Rødsgaard Jørgensen, A Nasery, D Mottin
Advances in Neural Information Processing Systems 33, 18411-18420, 2020
42020
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
A Nasery, S Thakur, V Piratla, A De, S Sarawagi
Advances in Neural Information Processing Systems 34, 2021
22021
Rule augmented unsupervised constituency parsing
A Sahay, A Nasery, A Maheshwari, G Ramakrishnan, R Iyer
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021
12021
CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias
S Mohla, A Nasery, B Banerjee, S Chaudhari
arXiv preprint arXiv:2006.14722, 2020
12020
Faster Orthogonal Parameterization with Householder Matrices
A Mathiasen, F Hvilshøj, JR Jørgensen, A Nasery, D Mottin
ICML, Workshop Proceedings, 2020
12020
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization
A Nasery, S Addepalli, P Netrapalli, P Jain
arXiv preprint arXiv:2208.09139, 2022
2022
Modality adaptive information retrieval
H Singh, J Lamba, DP Mehta, BV Srinivasan, A Nasery, A Agarwal
US Patent App. 17/153,130, 2022
2022
Teaching CNNs to Mimic Human Visual Cognitive Process & Regularise Texture-Shape Bias
S Mohla, A Nasery, B Banerjee
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
2022
DAFT: Distilling Adversarially Fine-tuned teachers for OOD Robustness
A Nasery, S Addepalli, P Netrapalli, P Jain
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 0
The system can't perform the operation now. Try again later.
Articles 1–10