Anshul Nasery

According to our database1, Anshul Nasery authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PLeaS - Merging Models with Permutations and Least Squares.
CoRR, 2024

End-to-End Neural Network Compression via l1/l2 Regularized Latency Surrogates.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Peekaboo: Interactive Video Generation via Masked-Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Label Differential Privacy via Aggregation.
CoRR, 2023

End-to-End Neural Network Compression via 𝓁<sub>1</sub>/𝓁<sub>2</sub> Regularized Latency Surrogates.
CoRR, 2023

Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks.
CoRR, 2022

DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization.
CoRR, 2022

Teaching CNNs to Mimic Human Visual Cognitive Process & Regularise Texture-Shape Bias.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MIMOQA: Multimodal Input Multimodal Output Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Rule Augmented Unsupervised Constituency Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias.
CoRR, 2020

What if Neural Networks had SVDs?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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