Isha Garg

According to our database, Isha Garg authored at least 22 papers between 2013 and 2024.

Collaborative distances:

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

2024

Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift.

Amitangshu Mukherjee, Isha Garg, Kaushik Roy

IEEE Trans. Artif. Intell., February, 2024

Revealing the Utilized Rank of Subspaces of Learning in Neural Networks.

Isha Garg, Christian Koguchi, Eshan Verma, Daniel Ulbricht

CoRR, 2024

Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators.

Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy

CoRR, 2024

TOFU: Toward Obfuscated Federated Updates by Encoding Weight Updates Into Gradients From Proxy Data.

Manish Nagaraj, Isha Garg, Kaushik Roy

IEEE Access, 2024

Memorization Through the Lens of Curvature of Loss Function Around Samples.

Isha Garg, Deepak Ravikumar, Kaushik Roy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

TREND: Transferability-Based Robust ENsemble Design.

Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy

IEEE Trans. Artif. Intell., June, 2023

Memorization Through the Lens of Curvature of Loss Function Around Samples.

Isha Garg, Kaushik Roy

CoRR, 2023

Intra-Class Mixup for Out-of-Distribution Detection.

Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy

IEEE Access, 2023

Samples with Low Loss Curvature Improve Data Efficiency.

Isha Garg, Kaushik Roy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data.

Isha Garg, Manish Nagaraj, Kaushik Roy

CoRR, 2022

2021

SPACE: Structured Compression and Sharing of Representational Space for Continual Learning.

Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy

IEEE Access, 2021

Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks.

Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy

Proceedings of the International Joint Conference on Neural Networks, 2021

Gradient Projection Memory for Continual Learning.

Gobinda Saha, Isha Garg, Kaushik Roy

Proceedings of the 9th International Conference on Learning Representations, 2021

DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency Spiking Neural Networks.

Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence.

Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy

Nat. Mach. Intell., 2020

Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection.

Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy

CoRR, 2020

DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks.

Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy

CoRR, 2020

Structured Compression and Sharing of Representational Space for Continual Learning.

Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy

CoRR, 2020

A Low Effort Approach to Structured CNN Design Using PCA.

Isha Garg, Priyadarshini Panda, Kaushik Roy

IEEE Access, 2020

2019

PCA-driven Hybrid network design for enabling Intelligence at the Edge.

Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy

CoRR, 2019

2015

On-the-Fly Donut Formation in Compiled Memory.

Darvinder Singh, Isha Garg, Vineet Sachan, Prasanna Nalawar

Proceedings of the 28th International Conference on VLSI Design, 2015

2013

Estimation of SNM in latches and subsequent formation of a 10T CNFET bitcell.

Isha Garg, Prakhar Sharma

Proceedings of the 11th Workshop on Intelligent Solutions in Embedded Systems, 2013