Gobinda Saha

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Future Directions

Cognitive Computing

Top Venues

Trans. Mach. Learn. Res.

IEEE Trans. Artif. Intell.

Publications

Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy
CoDeC: Communication-Efficient Decentralized Continual Learning. Trans. Mach. Learn. Res. 2024 (2024)
Buddhi Wickramasinghe, Gobinda Saha, Kaushik Roy
Continual Learning: A Review of Techniques, Challenges, and Future Directions. IEEE Trans. Artif. Intell. 5 (6) (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)
Sangamesh Kodge, Gobinda Saha, Kaushik Roy
Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting. Trans. Mach. Learn. Res. 2024 (2024)
Gobinda Saha, Kaushik Roy
Continual Learning with Scaled Gradient Projection. CoRR (2023)
Sangamesh Kodge, Gobinda Saha, Kaushik Roy
Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting. CoRR (2023)
Gobinda Saha, Kaushik Roy
Online continual learning with saliency-guided experience replay using tiny episodic memory. Mach. Vis. Appl. 34 (4) (2023)
Gobinda Saha, Kaushik Roy
Saliency Guided Experience Packing for Replay in Continual Learning. WACV (2023)
Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy
CoDeC: Communication-Efficient Decentralized Continual Learning. CoRR (2023)
Gobinda Saha, Kaushik Roy
Continual Learning with Scaled Gradient Projection. AAAI (2023)
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning. CoRR (2023)
Gobinda Saha, Cheng Wang, Anand Raghunathan, Kaushik Roy
A cross-layer approach to cognitive computing: invited. DAC (2022)
Efstathia Soufleri, Gobinda Saha, Kaushik Roy
Synthetic Dataset Generation for Privacy-Preserving Machine Learning. CoRR (2022)
Gobinda Saha, Isha Garg, Kaushik Roy
Gradient Projection Memory for Continual Learning. ICLR (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)
Gobinda Saha, Kaushik Roy
Saliency Guided Experience Packing for Replay in Continual Learning. CoRR (2021)
Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy
Structured Compression and Sharing of Representational Space for Continual Learning. CoRR (2020)
Gobinda Saha, Zhewei Jiang, Sanjay Parihar, Xi Cao, Jack M. Higman, Muhammed Ahosan Ul Karim
An Energy-Efficient and High Throughput in-Memory Computing Bit-Cell With Excellent Robustness Under Process Variations for Binary Neural Network. IEEE Access 8 (2020)
Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR (2018)
Indranil Chakraborty, Gobinda Saha, Kaushik Roy
Photonic Spiking Neural Networks - From Devices to Systems. CoRR (2018)