Sayak Paul

According to our database, Sayak Paul authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs.

Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang

CoRR, 2024

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference.

Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong

CoRR, 2024

DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models.

Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen

CoRR, 2024

PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models.

Junsong Chen, Yue Wu, Simian Luo, Enze Xie, Sayak Paul, Ping Luo, Hang Zhao, Zhenguo Li

CoRR, 2024

Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss.

Yatharth Gupta, Vishnu V. Jaddipal, Harish Prabhala, Sayak Paul, Patrick von Platen

CoRR, 2024

Getting it Right: Improving Spatial Consistency in Text-to-Image Models.

Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

Vision Transformers Are Robust Learners.

Sayak Paul, Pin-Yu Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning.

Sayak Paul, Siddha Ganju

CoRR, 2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report.

Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui

CoRR, 2021

2020

A review of deep learning with special emphasis on architectures, applications and recent trends.

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters

Knowl. Based Syst., 2020

G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling.

Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends.

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters

CoRR, 2019