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Sangamesh Kodge
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2020 – today
- 2024
- [j8]Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting. Trans. Mach. Learn. Res. 2024 (2024) - [i8]Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy:
Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples. CoRR abs/2403.08618 (2024) - 2023
- [j7]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
Intra-Class Mixup for Out-of-Distribution Detection. IEEE Access 11: 25968-25981 (2023) - [j6]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
TREND: Transferability-Based Robust ENsemble Design. IEEE Trans. Artif. Intell. 4(3): 534-548 (2023) - [j5]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data. Trans. Mach. Learn. Res. 2023 (2023) - [i7]Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting. CoRR abs/2312.00761 (2023) - 2022
- [j4]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Low precision decentralized distributed training over IID and non-IID data. Neural Networks 155: 451-460 (2022) - [i6]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions. CoRR abs/2209.14390 (2022) - 2021
- [i5]Sangamesh Kodge, Kaushik Roy:
BERMo: What can BERT learn from ELMo? CoRR abs/2110.15802 (2021) - [i4]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Low Precision Decentralized Distributed Training with Heterogeneous Data. CoRR abs/2111.09389 (2021) - 2020
- [j3]Amogh Agrawal, Adarsh Kosta, Sangamesh Kodge, Dong Eun Kim, Kaushik Roy:
CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 295-305 (2020) - [j2]Amogh Agrawal, Adarsh Kosta, Sangamesh Kodge, Dong Eun Kim, Kaushik Roy:
Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays". IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 588 (2020) - [j1]Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy:
IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(8): 2521-2531 (2020) - [i3]Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy:
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array. CoRR abs/2003.12558 (2020) - [i2]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
TREND: Transferability based Robust ENsemble Design. CoRR abs/2008.01524 (2020) - [i1]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
- 2017
- [c2]Sangamesh Kodge, Himanshu Chaudhary, Mrigank Sharad:
Low Power Image Acquisition Scheme Using On-Pixel Event Driven Halftoning. ISVLSI 2017: 260-265 - [c1]Himanshu Chaudhary, Sangamesh Kodge, Mrigank Sharad:
Digitally assisted analog processing unit for MPG based wearable device. MWSCAS 2017: 257-260
Coauthor Index
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last updated on 2024-08-10 00:33 CEST by the dblp team
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