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ORCIDPiyush Rai
- > Home > Persons > Piyush Rai
Publications
- 2024
[j7]Pratik Mazumder
, Pravendra Singh, Piyush Rai, Vinay P. Namboodiri:
Rectification-Based Knowledge Retention for Task Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1561-1575 (2024)- [c70]Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai:
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. ICRA 2024: 493-500 - 2023
- [i48]Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai:
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. CoRR abs/2309.08227 (2023) - 2021
- [c60]Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri:
Rectification-Based Knowledge Retention for Continual Learning. CVPR 2021: 15282-15291 - [c58]Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI 2021: 2621-2627 - [i37]Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri:
Rectification-based Knowledge Retention for Continual Learning. CoRR abs/2103.16597 (2021) - [i36]Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR abs/2106.06795 (2021) - 2020
- [j4]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. 128(8): 2068-2088 (2020) - [j3]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. IEEE J. Sel. Top. Signal Process. 14(4): 838-847 (2020) - [c49]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. WACV 2020: 824-833 - [c48]Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. WACV 2020: 2998-3007 - [c47]Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. WACV 2020: 3017-3031 - [i30]Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. CoRR abs/2001.05545 (2020) - 2019
- [c41]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR 2019: 4835-4844 - [c39]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI 2019: 3460-3466 - [i25]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR abs/1903.04120 (2019) - [i22]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR abs/1905.04446 (2019) - [i15]Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. CoRR abs/1912.07991 (2019) - 2018
- [i11]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. CoRR abs/1811.10559 (2018)
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