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Sayak Paul
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2020 – today
- 2024
- [c3]Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang:
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. ECCV (22) 2024: 204-222 - [i11]Yatharth Gupta, Vishnu V. Jaddipal, Harish Prabhala, Sayak Paul, Patrick von Platen:
Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss. CoRR abs/2401.02677 (2024) - [i10]Junsong Chen, Yue Wu, Simian Luo, Enze Xie, Sayak Paul, Ping Luo, Hang Zhao, Zhenguo Li:
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models. CoRR abs/2401.05252 (2024) - [i9]Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen:
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models. CoRR abs/2402.17412 (2024) - [i8]Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang:
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. CoRR abs/2404.01197 (2024) - [i7]Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong:
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR abs/2406.06424 (2024) - [i6]Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang:
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs. CoRR abs/2408.13467 (2024) - 2022
- [c2]Sayak Paul, Pin-Yu Chen:
Vision Transformers Are Robust Learners. AAAI 2022: 2071-2081 - 2021
- [i5]Sayak Paul, Pin-Yu Chen:
Vision Transformers are Robust Learners. CoRR abs/2105.07581 (2021) - [i4]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:
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08819 (2021) - [i3]Sayak Paul, Siddha Ganju:
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning. CoRR abs/2107.08369 (2021) - 2020
- [j1]Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters:
A review of deep learning with special emphasis on architectures, applications and recent trends. Knowl. Based Syst. 194: 105596 (2020) - [c1]Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul:
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. ICDM (Workshops) 2020: 912-916 - [i2]Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul:
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. CoRR abs/2009.12007 (2020)
2010 – 2019
- 2019
- [i1]Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters:
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. CoRR abs/1905.13294 (2019)
Coauthor Index
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