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Isha Garg
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2020 – today
- 2024
- [j7]Manish Nagaraj
, Isha Garg
, Kaushik Roy
:
TOFU: Toward Obfuscated Federated Updates by Encoding Weight Updates Into Gradients From Proxy Data. IEEE Access 12: 57209-57224 (2024) - [j6]Amitangshu Mukherjee
, Isha Garg
, Kaushik Roy
:
Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift. IEEE Trans. Artif. Intell. 5(2): 827-838 (2024) - [i13]Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy:
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. CoRR abs/2403.13082 (2024) - [i12]Isha Garg, Christian Koguchi, Eshan Verma, Daniel Ulbricht:
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks. CoRR abs/2407.04797 (2024) - 2023
- [j5]Deepak Ravikumar
, Sangamesh Kodge
, Isha Garg
, Kaushik Roy
:
Intra-Class Mixup for Out-of-Distribution Detection. IEEE Access 11: 25968-25981 (2023) - [j4]Deepak Ravikumar
, Sangamesh Kodge
, Isha Garg
, Kaushik Roy
:
TREND: Transferability-Based Robust ENsemble Design. IEEE Trans. Artif. Intell. 4(3): 534-548 (2023) - [c6]Isha Garg, Kaushik Roy:
Samples with Low Loss Curvature Improve Data Efficiency. CVPR 2023: 20290-20300 - [i11]Isha Garg, Kaushik Roy:
Memorization Through the Lens of Curvature of Loss Function Around Samples. CoRR abs/2307.05831 (2023) - 2022
- [i10]Isha Garg, Manish Nagaraj, Kaushik Roy:
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data. CoRR abs/2201.08494 (2022) - 2021
- [j3]Gobinda Saha
, Isha Garg
, Aayush Ankit
, Kaushik Roy
:
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning. IEEE Access 9: 150480-150494 (2021) - [c5]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: 4651-4660 - [c4]Gobinda Saha
, Isha Garg, Kaushik Roy:
Gradient Projection Memory for Continual Learning. ICLR 2021 - [c3]Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy:
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. IJCNN 2021: 1-9 - [i9]Gobinda Saha, Isha Garg, Kaushik Roy:
Gradient Projection Memory for Continual Learning. CoRR abs/2103.09762 (2021) - [i8]Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy:
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. CoRR abs/2104.12528 (2021) - [i7]Amitangshu Mukherjee, Isha Garg, Kaushik Roy:
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift. CoRR abs/2112.10844 (2021) - 2020
- [j2]Isha Garg
, Priyadarshini Panda
, Kaushik Roy
:
A Low Effort Approach to Structured CNN Design Using PCA. IEEE Access 8: 1347-1360 (2020) - [j1]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): 43-55 (2020) - [i6]Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy:
Structured Compression and Sharing of Representational Space for Continual Learning. CoRR abs/2001.08650 (2020) - [i5]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
TREND: Transferability based Robust ENsemble Design. CoRR abs/2008.01524 (2020) - [i4]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 abs/2010.01795 (2020) - [i3]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection. CoRR abs/2012.08398 (2020)
2010 – 2019
- 2019
- [i2]Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR abs/1906.01493 (2019) - 2018
- [i1]Isha Garg, Priyadarshini Panda, Kaushik Roy:
A Low Effort Approach to Structured CNN Design Using PCA. CoRR abs/1812.06224 (2018) - 2015
- [c2]Darvinder Singh, Isha Garg, Vineet Sachan, Prasanna Nalawar:
On-the-Fly Donut Formation in Compiled Memory. VLSID 2015: 159-163 - 2013
- [c1]Isha Garg, Prakhar Sharma:
Estimation of SNM in latches and subsequent formation of a 10T CNFET bitcell. WISES 2013: 1-5
Coauthor Index
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last updated on 2024-08-13 21:46 CEST by the dblp team
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