Deepak Ravikumar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Learned Knowledge

Risk Minimization

Image Synthesis

Top Venues

Trans. Mach. Learn. Res.

Proc. VLDB Endow.

IEEE Trans. Artif. Intell.

Publications

Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy
DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. Trans. Mach. Learn. Res. 2024 (2024)
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
Unveiling Privacy, Memorization, and Input Curvature Links. CoRR (2024)
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)
Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy
Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples. CoRR (2024)
Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. CoRR (2024)
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) (2024)
Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. CoRR (2024)
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)
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning. CoRR (2023)
Deepak Ravikumar, Kaushik Roy
Norm-Scaling for Out-of-Distribution Detection. CoRR (2022)
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)