Sayak Paul - RankMe

29 papers A* 3A 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors. CoRR Liangbing Zhao, Le Zhuo, Sayak Paul, Hongsheng Li, Mohamed Elhoseiny
2026	A*	`conf`	Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference. AAAI Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
2026	J	`jnl`	TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models. CoRR Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jiasi Shen, Jing Tang, Jianguo Li
2025	A	`conf`	DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models. WACV Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen
2025	A*	`conf`	Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis. CVPR Bingda Tang, Boyang Zheng, Sayak Paul, Saining Xie
2025	J	`jnl`	Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis. CoRR Bingda Tang, Boyang Zheng, Xichen Pan, Sayak Paul, Saining Xie
2025	J	`jnl`	Factuality Matters: When Image Generation and Editing Meet Structured Visuals. CoRR Le Zhuo, Songhao Han, Yuandong Pu, Boxiang Qiu, Sayak Paul, Yue Liao, Yihao Liu, Jie Shao, Xi Chen, Si Liu, Hongsheng Li
2025	J	`jnl`	Fine-Grained Perturbation Guidance via Attention Head Selection. CoRR Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Minjae Kim, Jaewon Min, Wooseok Jang, Saungwu Lee, Sayak Paul, Susung Hong, Seungryong Kim
2025	J	`jnl`	From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning. CoRR Le Zhuo, Liangbing Zhao, Sayak Paul, Yue Liao, Renrui Zhang, Yi Xin, Peng Gao, Mohamed Elhoseiny, Hongsheng Li
2025	—	`conf`	LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs. ACL (1) Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang
2025	J	`jnl`	SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation. CoRR Junsong Chen, Shuchen Xue, Yuyang Zhao, Jincheng Yu, Sayak Paul, Junyu Chen, Han Cai, Enze Xie, Song Han
2024	J	`jnl`	A Noise is Worth Diffusion Guidance. CoRR Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Minjae Kim, Wooseok Jang, Hyoungwon Cho, Sayak Paul, Seonhwa Kim, Eunju Cha, Kyong Hwan Jin, Seungryong Kim
2024	J	`jnl`	DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models. CoRR Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen
2024	J	`jnl`	FastRM: An efficient and automatic explainability framework for multimodal generative models. CoRR Gabriela Ben Melech Stan, Estelle Aflalo, Man Luo, Shachar Rosenman, Tiep Le, Sayak Paul, Shao-Yen Tseng, Vasudev Lal
2024	J	`jnl`	FiVL: A Framework for Improved Vision-Language Alignment. CoRR Estelle Aflalo, Gabriela Ben Melech Stan, Tiep Le, Man Luo, Shachar Rosenman, Sayak Paul, Shao-Yen Tseng, Vasudev Lal
2024	—	`conf`	Getting it Right: Improving Spatial Consistency in Text-to-Image Models. ECCV (22) Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang
2024	J	`jnl`	Getting it Right: Improving Spatial Consistency in Text-to-Image Models. CoRR Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang
2024	J	`jnl`	LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs. CoRR Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang
2024	J	`jnl`	Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
2024	J	`jnl`	PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models. CoRR Junsong Chen, Yue Wu, Simian Luo, Enze Xie, Sayak Paul, Ping Luo, Hang Zhao, Zhenguo Li
2024	J	`jnl`	Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss. CoRR Yatharth Gupta, Vishnu V. Jaddipal, Harish Prabhala, Sayak Paul, Patrick von Platen
2022	A*	`conf`	Vision Transformers Are Robust Learners. AAAI Sayak Paul, Pin-Yu Chen
2021	J	`jnl`	Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. CoRR 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
2021	J	`jnl`	Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning. CoRR Sayak Paul, Siddha Ganju
2021	J	`jnl`	Vision Transformers are Robust Learners. CoRR Sayak Paul, Pin-Yu Chen
2020	J	`jnl`	A review of deep learning with special emphasis on architectures, applications and recent trends. Knowl. Based Syst. Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters
2020	J	`jnl`	G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. CoRR Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul
2020	—	`conf`	G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. ICDM (Workshops) Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul
2019	J	`jnl`	A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. CoRR Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters