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ORCIDDeepak Ravikumar
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2020 – today
- 2024
[j5]Deepak Ravikumar, Alex Yeo, Yiwen Zhu, Aditya Lakra, Harsha Nagulapalli, Santhosh Ravindran, Steve Suh, Niharika Dutta, Andrew Fogarty, Yoonjae Park, Sumeet Khushalani, Arijit Tarafdar, Kunal Parekh, Subru Krishnan:
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service. Proc. VLDB Endow. 17(7): 1618-1627 (2024)- [j4]Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy:
Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j3]Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy:
DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. Trans. Mach. Learn. Res. 2024 (2024) - [c2]Isha Garg, Deepak Ravikumar, Kaushik Roy:
Memorization Through the Lens of Curvature of Loss Function Around Samples. ICML 2024 - [c1]Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy:
Unveiling Privacy, Memorization, and Input Curvature Links. ICML 2024 - [i8]Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy:
Unveiling Privacy, Memorization, and Input Curvature Links. CoRR abs/2402.18726 (2024) - [i7]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) - [i6]Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy:
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. CoRR abs/2407.02713 (2024) - [i5]Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy:
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. CoRR abs/2407.02747 (2024) - 2023
- [j2]Deepak Ravikumar
, Sangamesh Kodge, Isha Garg, Kaushik Roy:
Intra-Class Mixup for Out-of-Distribution Detection. IEEE Access 11: 25968-25981 (2023) - [j1]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
TREND: Transferability-Based Robust ENsemble Design. IEEE Trans. Artif. Intell. 4(3): 534-548 (2023) - [i4]Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy:
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning. CoRR abs/2304.04326 (2023) - 2022
- [i3]Deepak Ravikumar, Kaushik Roy:
Norm-Scaling for Out-of-Distribution Detection. CoRR abs/2205.03493 (2022) - 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)
Coauthor Index
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