Sugato Basu

According to our database, Sugato Basu authored at least 44 papers between 2001 and 2023.

Collaborative distances:

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

2023

Discriminative Diffusion Models as Few-shot Vision and Language Learners.

Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang

CoRR, 2023

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models.

Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.

Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MetaCLUE: Towards Comprehensive Visual Metaphors Research.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models.

Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Diagnosing Vision-and-Language Navigation: What Really Matters.

Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CPL: Counterfactual Prompt Learning for Vision and Language Models.

Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

A framework for deep constrained clustering.

Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson

Data Min. Knowl. Discov., 2021

Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation.

Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Leveraging Organizational Resources to Adapt Models to New Data Modalities.

Sahaana Suri, Abishek Sethi, Girija Narlikar, Neslihan Bulut, Raghuveer Chanda, Sugato Basu, Pradyumna Narayana, Peter Bailis, Christopher Ré, Yemao Zeng

Proc. VLDB Endow., 2020

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations.

Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

HUSE: Hierarchical Universal Semantic Embeddings.

Pradyumna Narayana, Aniket Pednekar, Abishek Krishnamoorthy, Kazoo Sone, Sugato Basu

CoRR, 2019

Deep Constrained Clustering - Algorithms and Advances.

Hongjing Zhang, Sugato Basu, Ian Davidson

CoRR, 2019

Product Phrase Extraction from e-Commerce Pages.

Artem Vovk, Dmitrii Tochilkin, Pradyumna Narayana, Kazoo Sone, Sugato Basu

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

A Framework for Deep Constrained Clustering - Algorithms and Advances.

Hongjing Zhang, Sugato Basu, Ian Davidson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Micro-Browsing Models for Search Snippets.

Muhammad Asiful Islam, Ramakrishnan Srikant, Sugato Basu

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Semi-supervised Learning.

Sugato Basu

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style.

Reid Pryzant, Sugato Basu, Kazoo Sone

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2016

Graphical RNN Models.

Ashish Bora, Sugato Basu, Joydeep Ghosh

CoRR, 2016

2015

PLUMS: Predicting Links Using Multiple Sources.

Karthik Subbian, Arindam Banerjee, Sugato Basu

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2012

RolX: structural role extraction & mining in large graphs.

Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2010

User browsing models: relevance versus examination.

Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl Pregibon

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Semi-Supervised Learning.

Sugato Basu

Proceedings of the Encyclopedia of Database Systems, 2009

PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce.

Biswanath Panda, Joshua Herbach, Sugato Basu, Roberto J. Bayardo

Proc. VLDB Endow., 2009

Semi-supervised graph clustering: a kernel approach.

Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney

Mach. Learn., 2009

Predicting bounce rates in sponsored search advertisements.

D. Sculley, Robert G. Malkin, Sugato Basu, Roberto J. Bayardo

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2007

Multi-way Clustering on Relation Graphs.

Arindam Banerjee, Sugato Basu, Srujana Merugu

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning.

Arindam Banerjee, Sugato Basu

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

2006

Measuring Constraint-Set Utility for Partitional Clustering Algorithms.

Ian Davidson, Kiri Wagstaff, Sugato Basu

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

When Is Constrained Clustering Beneficial, and Why?.

Kiri Wagstaff, Sugato Basu, Ian Davidson

Proceedings of the Proceedings, 2006

Probabilistic Semi-Supervised Clustering with Constraints.

Sugato Basu, Mikhail Bilenko, Arindam Banerjee, Raymond J. Mooney

Proceedings of the Semi-Supervised Learning, 2006

2005

Selecting Error Correcting Codes to Minimize Power in Memory Checker Circuits.

Shalini Ghosh, Sugato Basu, Nur A. Touba

J. Low Power Electron., 2005

Synthesis of Low Power CED Circuits Based on Parity Codes.

Shalini Ghosh, Sugato Basu, Nur A. Touba

Proceedings of the 23rd IEEE VLSI Test Symposium (VTS 2005), 2005

Model-based overlapping clustering.

Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping.

Mikhail Bilenko, Sugato Basu, Mehran Sahami

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

Active Semi-Supervision for Pairwise Constrained Clustering.

Sugato Basu, Arindam Banerjee, Raymond J. Mooney

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

A probabilistic framework for semi-supervised clustering.

Sugato Basu, Mikhail Bilenko, Raymond J. Mooney

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Reducing Power Consumption in Memory ECC Checkers.

Shalini Ghosh, Nur A. Touba, Sugato Basu

Proceedings of the Proceedings 2004 International Test Conference (ITC 2004), 2004

Integrating constraints and metric learning in semi-supervised clustering.

Mikhail Bilenko, Sugato Basu, Raymond J. Mooney

Proceedings of the Machine Learning, 2004

Low-power weighted pseudo-random BIST using special scan cells.

Shalini Ghosh, Eric W. MacDonald, Sugato Basu, Nur A. Touba

Proceedings of the 14th ACM Great Lakes Symposium on VLSI 2004, 2004

Semi-Supervised Clustering with Limited Background Knowledge.

Sugato Basu

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

Joint Minimization of Power and Area in Scan Testing by Scan Cell Reordering.

Shalini Ghosh, Sugato Basu, Nur A. Touba

Proceedings of the 2003 IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2003), 2003

2002

Semi-supervised Clustering by Seeding.

Sugato Basu, Arindam Banerjee, Raymond J. Mooney

Proceedings of the Machine Learning, 2002

2001

Evaluating the novelty of text-mined rules using lexical knowledge.

Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001