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Anshul Nasery
Anshul Nasery
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Zitiert von
Jahr
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
282021
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
152021
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
8*2020
Feature reconstruction from outputs can mitigate simplicity bias in neural networks
S Addepalli, A Nasery, VB Radhakrishnan, P Netrapalli, P Jain
The Eleventh International Conference on Learning Representations, 2022
6*2022
Cognitivecnn: Mimicking human cognitive models to resolve texture-shape bias
S Mohla, A Nasery, B Banerjee, S Chaudhari
arXiv preprint arXiv:2006.14722 3, 2020
6*2020
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
42021
PEEKABOO: Interactive Video Generation via Masked-Diffusion
Y Jain, A Nasery, V Vineet, H Behl
arXiv preprint arXiv:2312.07509, 2023
12023
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization
A Nasery, S Addepalli, P Netrapalli, P Jain
arXiv preprint arXiv:2208.09139, 2022
12022
Label Differential Privacy via Aggregation
A Brahmbhatt, R Saket, S Havaldar, A Nasery, A Raghuveer
arXiv preprint arXiv:2310.10092, 2023
2023
End-to-End Neural Network Compression via Regularized Latency Surrogates
A Nasery, H Shah, AS Suggala, P Jain
arXiv preprint arXiv:2306.05785, 2023
2023
Modality adaptive information retrieval
H Singh, J Lamba, DP Mehta, BV Srinivasan, A Nasery, A Agarwal
US Patent App. 17/153,130, 2022
2022
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