Publications

2017

Resource-efficient machine learning in 2 KB RAM for the Internet of Things . A. Kumar, S. Goyal and M. Varma, ICML, 2017.

ProtoNN: Compressed and accurate kNN for resource-scarce devices . C. Gupta, A. Suggala, A. Gupta, H. Simhadri, B. Paranjape, A. Kumar, S. Goyal, R. Udupa, M. Varma amd P. Jain, ICML, 2017.

Predicting Novel Metabolic Pathways through Subgraph Mining . Aravind Sankar, Sayan Ranu and Karthik Raman, Bioinformatics, 2017. (Impact Factor: 7.3) .

Toward a Quantitative Description of Microscopic Pathway Heterogeneity in Protein Folding . Soundhararajan Gopi, Animesh Singh, Swaathiratna Suresh, Suvadip Paul, Sayan Ranu and Athi N Naganathan, Physical Chemistry Chemical Physics, 2017. (Impact Factor: 4.123) .

Benchmark Generator for Dynamic Overlapping Communities in Networks . Neha Sengupta, Michael Hamann, Dorothea Wagner, ICDM 2017.

Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing . Karan Goel, Shreya Rajpal, Mausam. AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Quebec City, Canada. October 2017.

SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries . Shiladitya Pande, Sayan Ranu and Arnab Bhattacharya. VLDB, 2017.

Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study . Akhil Arora, Sainyam Galhotra and Sayan Ranu. SIGMOD, 2017.

Leveraging Semantic Resources in Diversified Query Expansion . Adit Krishnan, Deepak P, Sayan Ranu and Sameep Mehta. World Wide Web Journal, 2017.

Coarse-to-Fine Lifted MAP Inference in Computer Vision . Haroun Habeeb, Ankit Anand, Mausam, Parag Singla. International Joint Conference on Artificial Intelligence (IJCAI). Melbourne, Australia. August 2017.

Bootstrapping for Numerical Open IE . Swarnadeep Saha, Harinder Pal, Mausam. Annual Meeting of the Association for Computational Linguistics (ACL). Vancouver, Canada. August 2017.

Sampling and reconstruction using bloom filters . N. Sengupta, A. Bagchi, S. Bedathur, M. Ramanath , ICDE, 2017.

NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu,and Harsh Bhandari , ICDE, 2017.

Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical ModelsAnkit Anand, Ritesh Noothigattu, Parag Singla, and Mausam, The 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017.

2016

Exploratory Querying of Extended Knowledge Graphs (demo) . M. Yahya, K. Berberich, M. Ramanath, G. Weikum. PVLDB 9(10), 2016.

Lazy Generic Cuts. Dinesh Khandelwal, Kush Bhatia, Chetan Arora and Parag Singla. Computer Vision and Image Understanding (CVIU) Special Issue on Inference and Learning of Graphical Models, Vol 143 (80 - 91), 2016. Publisher: Elsevier.

Distributed Algorithm for Relationship Queries on Large Graphs . P. Agarwal, M. Ramanath and G. Shroff. Proc. of the Workshop on Large Scale Distributed Systems for Information Retrieval (LSDS-IR, with CIKM 2015), 2015.

Unsupervised Alignment of Actions in Video with Text Descriptions. Young Chol Song, Iftekar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea and Henry Kautz. Twenty Fifth International Conference on Artificial Intelligence (IJCAI), 2016 (2025-2031). New York, NY, USA.

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. Himanshu Jain, Yashoteja Prabhu, Manik Varma. 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. San Francisco, California. August 2016.

Open Information Extraction Systems and Downstream Applications. Mausam. Invited Paper for Early Career Spotlight Track. International Joint Conference on Artificial Intelligence (IJCAI). New York, NY. July 2016.

Contextual Symmetries in Probabilistic Graphical Models. Ankit Anand, Aditya Grover, Mausam, Parag Singla. International Joint Conference on Artificial Intelligence (IJCAI). New York, NY. July 2016.

Demonyms and Compound Relational Nouns in Nominal Open IE. Harinder Pal, Mausam. Workshop on Automated Knowledge Base Construction (AKBC) at NAACL. San Diego, CA, USA. June 2016.

Entity-balanced Gaussian pLSA for Automated Comparison. Danish Contractor, Mausam, Parag Singla. Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). San Diego, CA, USA. June 2016.

Min Norm Point Algorithm for Higher Order MRF-MAP Inference. Ishant Shanu, Chetan Arora and Parag Singla. Twnety Ninth IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (5365-5374). Las Vegas, Nevada, USA.

Knowledge-Guided Linguistic Rewrites for Inference Rule Verification. Prachi Jain, Mausam. Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). San Diego, CA, USA. June 2016.

OGA-UCT: On the Go Abstractions in UCT. Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla. International Conference on Automated Planning and Scheduling (ICAPS). London, United Kingdom. June 2016.

Optimal Testing for Crowd Workers. Jonathan Bragg, Mausam, Daniel S. Weld. International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Singapore. May 2016.

Scalable Training of Markov Logic Networks Using Approximate Counting. Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav. AAAI Conference on Artificial Intelligence (AAAI). Phoenix, AZ, USA. February 2016.

Numerical Relation Extraction with Minimal Supervision. Aman Madaan, Ashish Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi. AAAI Conference on Artificial Intelligence (AAAI). Phoenix, AZ, USA. February 2016.

Re-active Learning: Active Learning with Relabeling Christopher H. Lin, Mausam, Daniel S. Weld. AAAI Conference on Artificial Intelligence (AAAI). Phoenix, AZ, USA. February 2016.

The rich and middle classes on Twitter: Are popular users indeed different from regular users? Amit Ruhela, Amitabha Bagchi, Anirban Mahanti, Aaditeshwar Seth. Comput. Commun. 73:219-228, January 2016. doi:10.1016/j.comcom.2015.07.024

2015

Artificial Intelligence and Collective Intelligence. Daniel S. Weld, Mausam, Christopher H. Lin, Jonathan Bragg. A book chapter in The Collective Intelligence Handbook. MIT Press. October 2015.

Sparse local embeddings for extreme multi-label classification. K. Bhatia, H. Jain, P. Kar, M. Varma and P. Jain. Twenty Ninth Annual Conference on Neural Information Processing Systems (NIPS), 2015. Montreal, Canada.

Lifted Inference Rules With Constraints. Happy Mittal, Anuj Mahajan, Vibhav Gogate, Parag Singla. Twenty Ninth Annual Conference on Neural Information Processing Systems (NIPS), 2015. Montreal, Canada.

Fast Lifted MAP Inference via Partitioning. Somdeb Sarkhel, Parag Singla, Vibhav Gogate. Twenty Ninth Annual Conference on Neural Information Processing Systems (NIPS), 2015. Montreal, Canada.

Lifted Symmetry Detection and Breaking for MAP Inference. Timothy Kopp, Parag Singla, Henry Kautz. Twenty Ninth Annual Conference on Neural Information Processing Systems (NIPS), 2015. Montreal, Canada.

POMDP-Based Worker Pool Selection for Crowdsourcing. Shreya Rajpal, Karan Goel, Mausam. CrowdML -- Workshop on Crowdsourcing and Machine Learning at ICML. Lille, France July 2015.

Learning on the Job: Optimal Instruction for Crowdsourcing. Jonathan Bragg, Mausam, Daniel S. Weld. CrowdML -- Workshop on Crowdsourcing and Machine Learning at ICML. Lille, France July 2015.

Reactive learning: Actively Trading Off Larger Noisier Training Sets Against Smaller Cleaner Ones. Christopher H. Lin, Mausam, Daniel S. Weld. Active Learning Workshop & CrowdML -- Workshop on Crowdsourcing and Machine Learning at ICML. Lille, France July 2015.

Open IE as an Intermediate Structure for Semantic Tasks. Gabriel Stanovsky, Ido Dagan, Mausam. Joint Conference of the Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP). Beijing, China. July 2015.

ASAP-UCT: Abstraction of State-Action Pairs in UCT. Ankit Anand, Aditya Grover, Mausam, Parag Singla. International Joint Conference on Artificial Intelligence (IJCAI). Buenos Aires, Argentina. July 2015.

On the role of conductance, geography and topology in predicting hashtag virality. Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi, Parag Singla. Soc. Netw. Anal. Min. 5(1):57, December 2015.

Tracking the Conductance of Rapidly Evolving Topic-Subgraphs. Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath, Vidit Jain. Proceedings of the VLDB Endowment, Vol 8, Number 13, pp 2170-2181, September 2015.

A Novel Abstraction Framework for Online Planning: Extended Abstract. Ankit Anand, Aditya Grover, Mausam, Parag Singla. 1901-1902, AAMAS 2015.

 

2014

FastXML: A fast, accurate and stable tree-classifier for extreme multi-label learning. Yashoteja Prabhu, Manik Varma. 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014.

Hierarchical Summarization: Scaling Up Multi-Document Summarization. Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam. ACL (1) 2014: 902-912

Parallel Task Routing for Crowdsourcing. Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld. Conference on Human Computation and Crowdsourcing (HCOMP). Pittsburgh, PA, USA. November 2014.

"To Re(label), or Not To Re(label)". Christopher H. Lin, Mausam, Daniel S. Weld. Conference on Human Computation and Crowdsourcing (HCOMP). Pittsburgh, PA, USA. November 2014

New Rules for Domain Independent Lifted MAP Inference. Happy Mittal, Prasoon Goyal, Vibhav Gogate and Parag Singla. Twenty Eighth Annual Conference on Neural Information Processing Systems (NIPS), 2014. Montreal, Canada. Supplementary Material

An Integer Polynomial Programming Based Framework for Lifted MAP Inference. Somdeb Sarkhel, Deepak Venugopal, Parag Singla and Vibhav Gogate. Twenty Eighth Annual Conference on Neural Information Processing Systems (NIPS), 2014. Montreal, Canada.

Approximate Lifting Techniques for Belief Propagation. Parag Singla, Aniruddh Nath and Pedro Domingos. Twenty-eighth AAAI Conference on Artificial Intelligence, 2014 (2497-2504). Quebec City, Canada.

Lifted MAP Inference for Markov Logic Networks. Somdeb Sarkhel, Deepak Venugopal, Parag Singla and Vibhav Gogate. Seventeenth International Conference on Artificial Intelligence and Statistics, 2014 (895-903). Reykjavik, Iceland.

Characterizing Comparison Shopping Behavior: A Case Study . Mona Gupta, Happy Mittal, Parag Singla and Amitabha Bagchi. Workshop on Big Data Customer Analytics (BDCA), 2014. Co-located with ICDE-14. Chicago, IL, USA.

 

2013

Scaling-up Quadratic Programming Feature Selection. Yamuna Prasad, K.K. Biswas and Parag Singla. Late-Breaking Track at Twenty-Seventh Conference on Artificial Intelligence (AAAI), 2013. Bellevue, WA.

ESTHETE: a news browsing system to visualize the context and evolution of news stories. Rahul Goyal, Ravee Malla, Amitabha Bagchi, Sameep Mehta, Maya Ramanath. CIKM 2013: 2529-2532

Towards combating rumors in social networks: Models and metrics. Rudra M. Tripathy, Amitabha Bagchi, Sameep Mehta. Intell. Data Anal. 17(1): 149-175 (2013)

The scope for Online Social Network aided caching in web CDNs. Amit Ruhela, Sipat Triukose, Sebastien Ardon, Amitabha Bagchi, Anirban Mahanti, Aaditeshwar Seth. ANCS 2013: 37-45

Temporal Analysis of User Behavior and Topic Evolution on Twitter. Mona Jain, S. Rajyalakshmi, Rudra M. Tripathy, Amitabha Bagchi. BDA 2013: 22-36

Complex Network Characteristics and Team Performance in the Game of Cricket. Rudra M. Tripathy, Amitabha Bagchi, Mona Jain. BDA 2013: 133-150

Spatio-temporal and events based analysis of topic popularity in twitter. Sebastien Ardon, Amitabha Bagchi, Anirban Mahanti, Amit Ruhela, Aaditeshwar Seth, Rudra Mohan Tripathy, Sipat Triukose. CIKM 2013: 219-228

 

2012

Markov Logic Networks: Theory, Algorithms and Applications. Parag Singla. COMAD 2012: 1

PolariCQ: polarity classification of political quotations. Rawia Awadallah, Maya Ramanath, Gerhard Weikum. CIKM 2012: 1945-1949

Natural Language Questions for the Web of Data. Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum. EMNLP-CoNLL 2012: 379-390

OpinioNetIt: A Structured and Faceted Knowledge-base of Opinions. Rawia Awadallah, Maya Ramanath, Gerhard Weikum. ICDM Workshops 2012: 878-881

RDF Xpress: a flexible expressive RDF search engine. Shady Elbassuoni, Maya Ramanath, Gerhard Weikum. SIGIR 2012: 1013

Harmony and dissonance: organizing the people's voices on political controversies. Rawia Awadallah, Maya Ramanath, Gerhard Weikum. WSDM 2012: 523-532

Deep answers for naturally asked questions on the web of data. Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum. WWW (Companion Volume) 2012: 445-449