Abhay Kumar Yadav

According to our database, Abhay Kumar Yadav authored at least 13 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SymNoise: Advancing Language Model Fine-tuning with Symmetric Noise.

Abhay Kumar Yadav, Arjun Singh

CoRR, 2023

SMART CONTRACTS Based Peer to Peer Communication in Blockchain: A Decentralized Approach.

Satya Bhushan Verma, Abhay Kumar Yadav, Bineet Kumar Gupta, Sanjay Gupta

Proceedings of the Complex Networks & Their Applications XII, 2023

2021

Improved Training of Deep Networks for Computer Vision.

Abhay Kumar Yadav

PhD thesis, 2021

2020

On the Similarity between the Laplace and Neural Tangent Kernels.

Amnon Geifman, Abhay Kumar Yadav, Yoni Kasten, Meirav Galun, David W. Jacobs, Ronen Basri

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Making L-BFGS Work with Industrial-Strength Nets.

Abhay Kumar Yadav, Tom Goldstein, David W. Jacobs

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018

Stabilizing Adversarial Nets with Prediction Methods.

Abhay Kumar Yadav, Sohil Shah, Zheng Xu, David W. Jacobs, Tom Goldstein

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation.

Carlos Domingo Castillo, Soham De, Xintong Han, Bharat Singh, Abhay Kumar Yadav, Tom Goldstein

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Automated Inference with Adaptive Batches.

Soham De, Abhay Kumar Yadav, David W. Jacobs, Tom Goldstein

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Biconvex Relaxation for Semidefinite Programming in Computer Vision.

Sohil Shah, Abhay Kumar Yadav, David W. Jacobs, Christoph Studer, Tom Goldstein

CoRR, 2016

Big Batch SGD: Automated Inference using Adaptive Batch Sizes.

Soham De, Abhay Kumar Yadav, David W. Jacobs, Tom Goldstein

CoRR, 2016

Biconvex Relaxation for Semidefinite Programming in Computer Vision.

Sohil Shah, Abhay Kumar Yadav, Carlos Domingo Castillo, David W. Jacobs, Christoph Studer, Tom Goldstein

Proceedings of the Computer Vision - ECCV 2016, 2016

New methods for handling binary constraints.

Abhay Kumar Yadav, Rajeev Ranjan, Upal Mahbub, Michael C. Rotkowitz

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2010

Maximum Entropy Model Based Classification with Feature Selection.

Ambedkar Dukkipati, Abhay Kumar Yadav, M. Narasimha Murty

Proceedings of the 20th International Conference on Pattern Recognition, 2010