Sugato Basu

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 31

Top Topics

Diffusion Model

Multiple Sources

Variance Estimator

Top Venues

Publications

Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. CoRR (2024)
Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
Discriminative Diffusion Models as Few-shot Vision and Language Learners. CoRR (2023)
Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. NeurIPS (2023)
Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. CoRR (2023)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR (2023)
Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. ACL (industry) (2023)
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. ICLR (2023)
Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. CoRR (2023)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR (2022)
Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
CPL: Counterfactual Prompt Learning for Vision and Language Models. CoRR (2022)
Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang
Diagnosing Vision-and-Language Navigation: What Really Matters. NAACL-HLT (2022)
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. CoRR (2022)
Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang
CPL: Counterfactual Prompt Learning for Vision and Language Models. EMNLP (2022)
Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson
A framework for deep constrained clustering. Data Min. Knowl. Discov. 35 (2) (2021)
Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson
A Framework for Deep Constrained Clustering. CoRR (2021)
Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. EACL (2021)
Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang
Diagnosing Vision-and-Language Navigation: What Really Matters. CoRR (2021)
Sahaana Suri, Raghuveer Chanda, Neslihan Bulut, Pradyumna Narayana, Yemao Zeng, Peter Bailis, Sugato Basu, Girija Narlikar, Christopher Ré, Abishek Sethi
Leveraging Organizational Resources to Adapt Models to New Data Modalities. CoRR (2020)
Sahaana Suri, Abishek Sethi, Girija Narlikar, Neslihan Bulut, Raghuveer Chanda, Sugato Basu, Pradyumna Narayana, Peter Bailis, Christopher Ré, Yemao Zeng
Leveraging Organizational Resources to Adapt Models to New Data Modalities. Proc. VLDB Endow. 13 (12) (2020)
Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. CoRR (2020)
Wanrong Zhu, Xin Eric Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. CoRR (2020)
Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. EMNLP (1) (2020)
Pradyumna Narayana, Aniket Pednekar, Abishek Krishnamoorthy, Kazoo Sone, Sugato Basu
HUSE: Hierarchical Universal Semantic Embeddings. CoRR (2019)
Hongjing Zhang, Sugato Basu, Ian Davidson
A Framework for Deep Constrained Clustering - Algorithms and Advances. ECML/PKDD (1) (2019)
Muhammad Asiful Islam, Ramakrishnan Srikant, Sugato Basu
Micro-Browsing Models for Search Snippets. ICDE (2019)
Artem Vovk, Dmitrii Tochilkin, Pradyumna Narayana, Kazoo Sone, Sugato Basu
Product Phrase Extraction from e-Commerce Pages. WWW (Companion Volume) (2019)
Hongjing Zhang, Sugato Basu, Ian Davidson
Deep Constrained Clustering - Algorithms and Advances. CoRR (2019)
Muhammad Asiful Islam, Ramakrishnan Srikant, Sugato Basu
Micro-Browsing Models for Search Snippets. CoRR (2018)
Reid Pryzant, Sugato Basu, Kazoo Sone
Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style. BlackboxNLP@EMNLP (2018)
Ashish Bora, Sugato Basu, Joydeep Ghosh
Graphical RNN Models. CoRR (2016)
Karthik Subbian, Arindam Banerjee, Sugato Basu
PLUMS: Predicting Links Using Multiple Sources. SDM (2015)
Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li
RolX: structural role extraction & mining in large graphs. KDD (2012)
Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl Pregibon
User browsing models: relevance versus examination. KDD (2010)
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney
Semi-supervised graph clustering: a kernel approach. Mach. Learn. 74 (1) (2009)
Biswanath Panda, Joshua Herbach, Sugato Basu, Roberto J. Bayardo
PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce. Proc. VLDB Endow. 2 (2) (2009)
D. Sculley, Robert G. Malkin, Sugato Basu, Roberto J. Bayardo
Predicting bounce rates in sponsored search advertisements. KDD (2009)
Arindam Banerjee, Sugato Basu
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning. SDM (2007)
Arindam Banerjee, Sugato Basu, Srujana Merugu
Multi-way Clustering on Relation Graphs. SDM (2007)
Kiri Wagstaff, Sugato Basu, Ian Davidson
When Is Constrained Clustering Beneficial, and Why?. AAAI (2006)
Ian Davidson, Kiri Wagstaff, Sugato Basu
Measuring Constraint-Set Utility for Partitional Clustering Algorithms. PKDD (2006)
Shalini Ghosh, Sugato Basu, Nur A. Touba
Selecting Error Correcting Codes to Minimize Power in Memory Checker Circuits. J. Low Power Electron. 1 (1) (2005)
Mikhail Bilenko, Sugato Basu, Mehran Sahami
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping. ICDM (2005)
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney
Semi-supervised graph clustering: a kernel approach. ICML (2005)
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney
Model-based overlapping clustering. KDD (2005)
Shalini Ghosh, Sugato Basu, Nur A. Touba
Synthesis of Low Power CED Circuits Based on Parity Codes. VTS (2005)
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
Active Semi-Supervision for Pairwise Constrained Clustering. SDM (2004)
Mikhail Bilenko, Sugato Basu, Raymond J. Mooney
Integrating constraints and metric learning in semi-supervised clustering. ICML (2004)
Sugato Basu
Semi-Supervised Clustering with Limited Background Knowledge. AAAI (2004)
Shalini Ghosh, Eric MacDonald, Sugato Basu, Nur A. Touba
Low-power weighted pseudo-random BIST using special scan cells. ACM Great Lakes Symposium on VLSI (2004)
Shalini Ghosh, Nur A. Touba, Sugato Basu
Reducing Power Consumption in Memory ECC Checkers. ITC (2004)
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
A probabilistic framework for semi-supervised clustering. KDD (2004)
Shalini Ghosh, Sugato Basu, Nur A. Touba
Joint Minimization of Power and Area in Scan Testing by Scan Cell Reordering. ISVLSI (2003)
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
Semi-supervised Clustering by Seeding. ICML (2002)
Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh
Evaluating the novelty of text-mined rules using lexical knowledge. KDD (2001)