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Shreyas Saxena
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Books and Theses
- 2016
- [b1]Shreyas Saxena:
Learning representations for visual recognition. (Apprentissage de représentations pour la reconnaissance visuelle). Grenoble Alpes University, France, 2016
Conference and Workshop Papers
- 2024
- [c10]Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. ACL (Findings) 2024: 214-230 - [c9]Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie:
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. ICML 2024 - 2023
- [c8]Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena:
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. UAI 2023: 2134-2146 - 2021
- [c7]Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic Curriculum Learning via Data Parameters for Noise Robust Keyword Spotting. ICASSP 2021: 6848-6852 - 2019
- [c6]Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi:
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision. IJCAI 2019: 796-802 - [c5]Shreyas Saxena, Oncel Tuzel, Dennis DeCoste:
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum. NeurIPS 2019: 11093-11103 - 2016
- [c4]Shreyas Saxena, Jakob Verbeek:
Heterogeneous Face Recognition with CNNs. ECCV Workshops (3) 2016: 483-491 - [c3]Shreyas Saxena, Jakob Verbeek:
Convolutional Neural Fabrics. NIPS 2016: 4053-4061 - 2015
- [c2]Shreyas Saxena, Jakob Verbeek:
Coordinated Local Metric Learning. ICCV Workshops 2015: 369-377 - 2011
- [c1]Shreyas Saxena:
Significance of Dynamic Content of Gait Present in the Lower Silhouette Region. CCBR 2011: 159-166
Informal and Other Publications
- 2024
- [i9]Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. CoRR abs/2403.00952 (2024) - 2023
- [i8]Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena:
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. CoRR abs/2303.10464 (2023) - [i7]Shreyas Saxena, Vithursan Thangarasa, Abhay Gupta, Sean Lie:
Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. CoRR abs/2303.11525 (2023) - 2021
- [i6]Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic curriculum learning via data parameters for noise robust keyword spotting. CoRR abs/2102.09666 (2021) - [i5]Shreyas Saxena, Nidhi Vyas, Dennis DeCoste:
Training With Data Dependent Dynamic Learning Rates. CoRR abs/2105.13464 (2021) - [i4]Pavan Kumar Anasosalu Vasu, Shreyas Saxena, Oncel Tuzel:
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework. CoRR abs/2106.06129 (2021) - 2020
- [i3]Nidhi Vyas, Shreyas Saxena, Thomas Voice:
Learning Soft Labels via Meta Learning. CoRR abs/2009.09496 (2020) - 2018
- [i2]Syed Ashar Javed, Shreyas Saxena, Vineet Gandhi:
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision. CoRR abs/1803.06506 (2018) - 2016
- [i1]Shreyas Saxena, Jakob Verbeek:
Convolutional Neural Fabrics. CoRR abs/1606.02492 (2016)
Coauthor Index
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