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Anshul Nasery
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2020 – today
- 2024
- [c8]Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain:
End-to-End Neural Network Compression via l1/l2 Regularized Latency Surrogates. CVPR Workshops 2024: 5866-5877 - [c7]Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl:
Peekaboo: Interactive Video Generation via Masked-Diffusion. CVPR 2024: 8079-8088 - [i11]Anshul Nasery, Jonathan Hayase, Pang Wei Koh, Sewoong Oh:
PLeaS - Merging Models with Permutations and Least Squares. CoRR abs/2407.02447 (2024) - [i10]Zerui Cheng, Edoardo Contente, Ben Finch, Oleg Golev, Jonathan Hayase, Andrew Miller, Niusha Moshrefi, Anshul Nasery, Sandeep Nailwal, Sewoong Oh, Himanshu Tyagi, Pramod Viswanath:
OML: Open, Monetizable, and Loyal AI. IACR Cryptol. ePrint Arch. 2024: 1573 (2024) - 2023
- [c6]Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain:
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. ICLR 2023 - [i9]Anshul Nasery, Hardik Shah, Arun Sai Suggala, Prateek Jain:
End-to-End Neural Network Compression via 𝓁1/𝓁2 Regularized Latency Surrogates. CoRR abs/2306.05785 (2023) - [i8]Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar, Anshul Nasery, Aravindan Raghuveer:
Label Differential Privacy via Aggregation. CoRR abs/2310.10092 (2023) - [i7]Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl:
PEEKABOO: Interactive Video Generation via Masked-Diffusion. CoRR abs/2312.07509 (2023) - 2022
- [c5]Satyam Mohla, Anshul Nasery, Biplab Banerjee:
Teaching CNNs to Mimic Human Visual Cognitive Process & Regularise Texture-Shape Bias. ICASSP 2022: 1805-1809 - [i6]Anshul Nasery, Sravanti Addepalli, Praneeth Netrapalli, Prateek Jain:
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization. CoRR abs/2208.09139 (2022) - [i5]Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu
, Praneeth Netrapalli, Prateek Jain:
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. CoRR abs/2210.01360 (2022) - 2021
- [c4]Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
Rule Augmented Unsupervised Constituency Parsing. ACL/IJCNLP (Findings) 2021: 4923-4932 - [c3]Hrituraj Singh, Anshul Nasery, Denil Mehta, Aishwarya Agarwal, Jatin Lamba, Balaji Vasan Srinivasan:
MIMOQA: Multimodal Input Multimodal Output Question Answering. NAACL-HLT 2021: 5317-5332 - [c2]Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi:
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. NeurIPS 2021: 19198-19209 - [i4]Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
Rule Augmented Unsupervised Constituency Parsing. CoRR abs/2105.10193 (2021) - [i3]Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi:
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR abs/2108.06721 (2021) - 2020
- [c1]Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin:
What if Neural Networks had SVDs? NeurIPS 2020 - [i2]Satyam Mohla
CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias. CoRR abs/2006.14722 (2020) - [i1]Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen, Anshul Nasery, Davide Mottin:
What if Neural Networks had SVDs? CoRR abs/2009.13977 (2020)
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