Gobinda Saha

According to our database, Gobinda Saha authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Continual Learning: A Review of Techniques, Challenges, and Future Directions.

Buddhi Wickramasinghe, Gobinda Saha, Kaushik Roy

IEEE Trans. Artif. Intell., June, 2024

Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning.

Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy

Trans. Mach. Learn. Res., 2024

Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting.

Sangamesh Kodge, Gobinda Saha, Kaushik Roy

Trans. Mach. Learn. Res., 2024

CoDeC: Communication-Efficient Decentralized Continual Learning.

Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy

Trans. Mach. Learn. Res., 2024

Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples.

Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy

CoRR, 2024

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression.

Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Online continual learning with saliency-guided experience replay using tiny episodic memory.

Gobinda Saha, Kaushik Roy

Mach. Vis. Appl., July, 2023

Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting.

Sangamesh Kodge, Gobinda Saha, Kaushik Roy

CoRR, 2023

Saliency Guided Experience Packing for Replay in Continual Learning.

Gobinda Saha, Kaushik Roy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Continual Learning with Scaled Gradient Projection.

Gobinda Saha, Kaushik Roy

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A cross-layer approach to cognitive computing: invited.

Gobinda Saha, Cheng Wang, Anand Raghunathan, Kaushik Roy

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

SPACE: Structured Compression and Sharing of Representational Space for Continual Learning.

Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy

IEEE Access, 2021

Gradient Projection Memory for Continual Learning.

Gobinda Saha, Isha Garg, Kaushik Roy

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Structured Compression and Sharing of Representational Space for Continual Learning.

Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy

CoRR, 2020

An Energy-Efficient and High Throughput in-Memory Computing Bit-Cell With Excellent Robustness Under Process Variations for Binary Neural Network.

Gobinda Saha, Zhewei Jiang, Sanjay Parihar, Xi Cao, Jack M. Higman, Muhammed Ahosan Ul Karim

IEEE Access, 2020

2018

Photonic Spiking Neural Networks - From Devices to Systems.

Indranil Chakraborty, Gobinda Saha, Kaushik Roy

CoRR, 2018

All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light.

Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy

CoRR, 2018