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Gobinda Saha
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Journal Articles
- 2024
- [j7]Buddhi Wickramasinghe, Gobinda Saha, Kaushik Roy:
Continual Learning: A Review of Techniques, Challenges, and Future Directions. IEEE Trans. Artif. Intell. 5(6): 2526-2546 (2024) - [j6]Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy:
CoDeC: Communication-Efficient Decentralized Continual Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j5]Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting. Trans. Mach. Learn. Res. 2024 (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) - 2023
- [j3]Gobinda Saha, Kaushik Roy:
Online continual learning with saliency-guided experience replay using tiny episodic memory. Mach. Vis. Appl. 34(4): 65 (2023) - 2021
- [j2]Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy:
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning. IEEE Access 9: 150480-150494 (2021) - 2020
- [j1]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: 91405-91414 (2020)
Conference and Workshop Papers
- 2023
- [c4]Gobinda Saha, Kaushik Roy:
Continual Learning with Scaled Gradient Projection. AAAI 2023: 9677-9685 - [c3]Gobinda Saha, Kaushik Roy:
Saliency Guided Experience Packing for Replay in Continual Learning. WACV 2023: 5262-5272 - 2022
- [c2]Gobinda Saha, Cheng Wang, Anand Raghunathan, Kaushik Roy:
A cross-layer approach to cognitive computing: invited. DAC 2022: 1327-1330 - 2021
- [c1]Gobinda Saha, Isha Garg, Kaushik Roy:
Gradient Projection Memory for Continual Learning. ICLR 2021
Informal and Other Publications
- 2024
- [i11]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) - [i10]Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy:
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. CoRR abs/2408.05646 (2024) - 2023
- [i9]Gobinda Saha, Kaushik Roy:
Continual Learning with Scaled Gradient Projection. CoRR abs/2302.01386 (2023) - [i8]Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy:
CoDeC: Communication-Efficient Decentralized Continual Learning. CoRR abs/2303.15378 (2023) - [i7]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) - [i6]Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting. CoRR abs/2312.00761 (2023) - 2021
- [i5]Gobinda Saha, Isha Garg, Kaushik Roy:
Gradient Projection Memory for Continual Learning. CoRR abs/2103.09762 (2021) - [i4]Gobinda Saha, Kaushik Roy:
Saliency Guided Experience Packing for Replay in Continual Learning. CoRR abs/2109.04954 (2021) - 2020
- [i3]Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy:
Structured Compression and Sharing of Representational Space for Continual Learning. CoRR abs/2001.08650 (2020) - 2018
- [i2]Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy:
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR abs/1804.00267 (2018) - [i1]Indranil Chakraborty, Gobinda Saha, Kaushik Roy:
Photonic Spiking Neural Networks - From Devices to Systems. CoRR abs/1808.01241 (2018)
Coauthor Index
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