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Sayak Paul
Sayak Paul
ML @ Hugging Face 🤗
Verified email at huggingface.co - Homepage
Title
Cited by
Cited by
Year
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, FD Atiah, V Ravi, ...
Knowledge-Based Systems 194, 33, 2020
3572020
Vision transformers are robust learners
S Paul*, PY Chen*, *equal contribution
Proceedings of the AAAI conference on Artificial Intelligence 36 (2), 2071-2081, 2022
2662022
Diffusers: State-of-the-art diffusion models
P Von Platen, S Patil, A Lozhkov, P Cuenca, N Lambert, K Rasul, ...
2142022
Peft: State-of-the-art parameter-efficient fine-tuning methods
S Mangrulkar, S Gugger, L Debut, Y Belkada, S Paul, B Bossan
Younes Belkada and Sayak Paul," PEFT: State-of-the-art Parameter-Efficient …, 2022
722022
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
S Paul*, S Ganju*, *equal contribution
NeurIPS Tackling Climate Change with Machine Learning Workshop, 2021
232021
Fast and accurate quantized camera scene detection on smartphones, mobile ai 2021 challenge: Report
A Ignatov, G Malivenko, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
182021
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
S Chakraborty*, A Roy Gosthipaty*, S Paul*, *equal contribution
https://ieeexplore.ieee.org/document/9346544, 2020
162020
PEFT: State-of-the-Art Parameter-Efficient Fine-Tuning Methods. 2022
S Mangrulkar, S Gugger, L Debut, Y Belkada, S Paul, B Bossan
URL https://github. com/huggingface/peft, 0
13
A novel transfer learning-based missing value imputation on discipline diverse real test datasets—a comparative study with different machine learning algorithms
J Gupta, S Paul, A Ghosh
Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019
102019
Using lora for efficient stable diffusion fine-tuning
P Cuenca, S Paul
62023
A CFS–DNN-based intrusion detection system
S Paul, C Banerjee, M Ghoshal
Advances in Communication, Devices and Networking: Proceedings of ICCDN 2017 …, 2018
42018
Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss
Y Gupta, VV Jaddipal, H Prabhala, S Paul, P Von Platen
arXiv preprint arXiv:2401.02677, 2024
32024
Hands-On Python Deep Learning for the Web
A Singh, S Paul
https://www.packtpub.com/in/data/hands-on-python-deep-learning-for-web, 2020
3*2020
PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models
J Chen, Y Wu, S Luo, E Xie, S Paul, P Luo, H Zhao, Z Li
arXiv preprint arXiv:2401.05252, 2024
22024
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
A Chatterjee, GBM Stan, E Aflalo, S Paul, D Ghosh, T Gokhale, L Schmidt, ...
arXiv preprint arXiv:2404.01197, 2024
2024
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Model
S Marjit, H Singh, N Mathur, S Paul, CM Yu, PY Chen
arXiv preprint arXiv:2402.17412, 2024
2024
All Things ViTs: Understanding and Interpreting Attention in Vision
H Chefer*, S Paul*, *equal contribution
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2023
Instruction-tuning Stable Diffusion with InstructPix2Pix
S Paul
https://huggingface.co/blog/instruction-tuning-sd, 2023
2023
Foundational Robustness of Foundation Models
PY Chen, S Liu, S Paul
Annual Conference on Neural Information Processing Systems, 2022
2022
Practical Adversarial Robustness in Deep Learning: Problems and Solutions
PY Chen, S Paul
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
2021
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Articles 1–20