Isha Garg

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Risk Minimization

Principal Component Analysis

Top Venues

IEEE Trans. Artif. Intell.

Nat. Mach. Intell.

Publications

Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. CoRR (2024)
Manish Nagaraj, Isha Garg, Kaushik Roy
TOFU: Toward Obfuscated Federated Updates by Encoding Weight Updates Into Gradients From Proxy Data. IEEE Access 12 (2024)
Isha Garg, Christian Koguchi, Eshan Verma, Daniel Ulbricht
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks. CoRR (2024)
Amitangshu Mukherjee, Isha Garg, Kaushik Roy
Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift. IEEE Trans. Artif. Intell. 5 (2) (2024)
Isha Garg, Kaushik Roy
Samples with Low Loss Curvature Improve Data Efficiency. CVPR (2023)
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
TREND: Transferability-Based Robust ENsemble Design. IEEE Trans. Artif. Intell. 4 (3) (2023)
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
Intra-Class Mixup for Out-of-Distribution Detection. IEEE Access 11 (2023)
Isha Garg, Kaushik Roy
Memorization Through the Lens of Curvature of Loss Function Around Samples. CoRR (2023)
Isha Garg, Manish Nagaraj, Kaushik Roy
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data. CoRR (2022)
Gobinda Saha, Isha Garg, Kaushik Roy
Gradient Projection Memory for Continual Learning. ICLR (2021)
Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency Spiking Neural Networks. ICCV (2021)
Amitangshu Mukherjee, Isha Garg, Kaushik Roy
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift. CoRR (2021)
Gobinda Saha, Isha Garg, Kaushik Roy
Gradient Projection Memory for Continual Learning. CoRR (2021)
Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning. IEEE Access 9 (2021)
Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. IJCNN (2021)
Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. CoRR (2021)
Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence. Nat. Mach. Intell. 2 (1) (2020)
Isha Garg, Priyadarshini Panda, Kaushik Roy
A Low Effort Approach to Structured CNN Design Using PCA. IEEE Access 8 (2020)
Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy
Structured Compression and Sharing of Representational Space for Continual Learning. CoRR (2020)
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection. CoRR (2020)
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
TREND: Transferability based Robust ENsemble Design. CoRR (2020)
Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks. CoRR (2020)
Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR (2019)
Isha Garg, Priyadarshini Panda, Kaushik Roy
A Low Effort Approach to Structured CNN Design Using PCA. CoRR (2018)
Darvinder Singh, Isha Garg, Vineet Sachan, Prasanna Nalawar
On-the-Fly Donut Formation in Compiled Memory. VLSI Design (2015)
Isha Garg, Prakhar Sharma
Estimation of SNM in latches and subsequent formation of a 10T CNFET bitcell. WISES (2013)