2020
|
| 53. | Sai Krishna Munnangi; Praveen Paruchuri Improving Wildlife Monitoring using a Multi-criteria Cooperative Target Observation Approach. Conference HICSS, pp. 1–10, 2020. BibTeX @inproceedings{munnangi2020improving,
title = {Improving Wildlife Monitoring using a Multi-criteria Cooperative Target Observation Approach.},
author = {Sai Krishna Munnangi and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {HICSS},
pages = {1–10},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 52. | Anoop Karnik Dasika; Praveen Paruchuri An Ensemble Learning Approach to Improve Tracking Accuracy of Multi Sensor Fusion. Conference ICONIP, 2020. BibTeX @inproceedings{dasika2020an,
title = {An Ensemble Learning Approach to Improve Tracking Accuracy of Multi Sensor Fusion.},
author = {Anoop Karnik Dasika and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {ICONIP},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 51. | Anindya Pradhan; Easwar Subramanian; Sanjay Bhat P; Praveen Paruchuri; Sujit Gujar Rise of Algorithmic Trading in Today’s Changing Electricity Market. Conference India Smart Utility Week, 2020. BibTeX @inproceedings{pradhan2020rise,
title = {Rise of Algorithmic Trading in Today’s Changing Electricity Market.},
author = {Anindya Pradhan and Easwar Subramanian and Sanjay P Bhat and Praveen Paruchuri and Sujit Gujar},
year = {2020},
date = {2020-01-01},
booktitle = {India Smart Utility Week},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 50. | Sai Naveen Pucha; Praveen Paruchuri Inferring Personality Types for Better Automated Negotiation Conference International Conference on Group Decision and Negotiation, pp. 149–162, Springer 2020. BibTeX @inproceedings{pucha2020inferring,
title = {Inferring Personality Types for Better Automated Negotiation},
author = {Sai Naveen Pucha and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Group Decision and Negotiation},
pages = {149–162},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 49. | Aditya Srinivas Gear; Kritika Prakash; Nonidh Singh; Praveen Paruchuri PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value Conference International Conference on Group Decision and Negotiation, pp. 135–148, Springer 2020. BibTeX @inproceedings{gear2020predictrv,
title = {PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value},
author = {Aditya Srinivas Gear and Kritika Prakash and Nonidh Singh and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Group Decision and Negotiation},
pages = {135–148},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 48. | Aditya Srinivas Gear; Kritika Prakash; Nonidh Singh; Praveen Paruchuri PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value Conference Morais, Danielle Costa; Fang, Liping; Horita, Masahide (Ed.): Group Decision and Negotiation: A Multidisciplinary Perspective, pp. 135–148, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-48641-9. Abstract | BibTeX @inproceedings{10.1007/978-3-030-48641-9_10,
title = {PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value},
author = {Aditya Srinivas Gear and Kritika Prakash and Nonidh Singh and Praveen Paruchuri},
editor = {Danielle Costa Morais and Liping Fang and Masahide Horita},
isbn = {978-3-030-48641-9},
year = {2020},
date = {2020-01-01},
booktitle = {Group Decision and Negotiation: A Multidisciplinary Perspective},
pages = {135–148},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {Negotiation is an important component of the interaction process among humans. With increasing automation, autonomous agents are expected to take over a lot of this interaction process. Much of automated negotiation literature focuses on agents having a static and known reservation value. In situations involving dynamic environments e.g., an agent negotiating on behalf of a human regarding a meeting, agents can have a reservation value (RV) that is a function of time. This leads to a different set of challenges that may need additional reasoning about the concession behavior. In this paper, we build upon Negotiation algorithms such as ONAC (Optimal Non-Adaptive Concession) and Time-Dependent Techniques such as Boulware which work on settings where the reservation value of the agent is fixed and known. Although these algorithms can encode dynamic RV, their concession behavior and hence the properties they were expected to display would be different from when the RV is static, even though the underlying negotiation algorithm remains the same. We, therefore, propose to use one of Counter, Bayesian Learning with Regression Analysis or LSTM model on top of each algorithm to develop the PredictRV strategy and show that PredictRV indeed performs better on two different metrics tested on two different domains on a variety of parameter settings.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Negotiation is an important component of the interaction process among humans. With increasing automation, autonomous agents are expected to take over a lot of this interaction process. Much of automated negotiation literature focuses on agents having a static and known reservation value. In situations involving dynamic environments e.g., an agent negotiating on behalf of a human regarding a meeting, agents can have a reservation value (RV) that is a function of time. This leads to a different set of challenges that may need additional reasoning about the concession behavior. In this paper, we build upon Negotiation algorithms such as ONAC (Optimal Non-Adaptive Concession) and Time-Dependent Techniques such as Boulware which work on settings where the reservation value of the agent is fixed and known. Although these algorithms can encode dynamic RV, their concession behavior and hence the properties they were expected to display would be different from when the RV is static, even though the underlying negotiation algorithm remains the same. We, therefore, propose to use one of Counter, Bayesian Learning with Regression Analysis or LSTM model on top of each algorithm to develop the PredictRV strategy and show that PredictRV indeed performs better on two different metrics tested on two different domains on a variety of parameter settings. |
| 47. | Sreeja Kamishetty; Praveen Paruchuri Towards a Better Management of Emergency Evacuation using Pareto Min Cost Max Flow Approach Conference 6th International Conference on Vehicle Technology and Intelligent Transportation Systems, 2020. BibTeX @conference{sreeja2020towards,
title = {Towards a Better Management of Emergency Evacuation using Pareto Min Cost Max Flow Approach},
author = {Sreeja Kamishetty and Praveen Paruchuri},
year = {2020},
date = {2020-01-01},
booktitle = {6th International Conference on Vehicle Technology and Intelligent Transportation Systems},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
2019
|
| 46. | teja Vooturi; Girish Varma; Kishore Kothapalli Dynamic Block Sparse Reparameterization of Convolutional Neural Networks Conference The IEEE International Conference on Computer Vision (ICCV) Workshops, 2019. BibTeX @inproceedings{Vooturi_2019_ICCV_Workshops,
title = {Dynamic Block Sparse Reparameterization of Convolutional Neural Networks},
author = {Dharma teja Vooturi and Girish Varma and Kishore Kothapalli},
year = {2019},
date = {2019-10-01},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 45. | Tarun Kalluri; Girish Varma; Manmohan Chandraker; Jawahar C V Universal Semi-Supervised Semantic Segmentation Conference The IEEE International Conference on Computer Vision (ICCV), 2019. BibTeX @inproceedings{Kalluri_2019_ICCV,
title = {Universal Semi-Supervised Semantic Segmentation},
author = {Tarun Kalluri and Girish Varma and Manmohan Chandraker and C V Jawahar},
year = {2019},
date = {2019-10-01},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 44. | Sujit Gujar Blockchain Technology: What is it and What is its future? Book Chapter Manorama Yearbook 2019, Malayala Manorama Press, 2019. BibTeX @inbook{Gujar2019a,
title = {Blockchain Technology: What is it and What is its future?},
author = {Sujit Gujar},
year = {2019},
date = {2019-01-01},
booktitle = {Manorama Yearbook 2019},
publisher = {Malayala Manorama Press},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
|
| 43. | Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs Conference IJCAI, pp. 208–214, ijcai.org, 2019. Links | BibTeX @inproceedings{DBLP:conf/ijcai/DamleMCG19,
title = {Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs},
author = {Sankarshan Damle and Moin Hussain Moti and Praphul Chandra and Sujit Gujar},
url = {http://mll.iiit.ac.in/publication-blogs/ppsn/
},
year = {2019},
date = {2019-01-01},
booktitle = {IJCAI},
pages = {208–214},
publisher = {ijcai.org},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 42. | Moin Hussain Moti; Dimitris Chatzopoulos; Pan Hui; Sujit Gujar FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings Conference IJCAI, pp. 506–512, ijcai.org, 2019. Links | BibTeX @inproceedings{DBLP:conf/ijcai/MotiCHG19,
title = {FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings},
author = {Moin Hussain Moti and Dimitris Chatzopoulos and Pan Hui and Sujit Gujar},
url = {http://mll.iiit.ac.in/publication-blogs/farm/},
doi = {https://doi.org/10.24963/ijcai.2019/72},
year = {2019},
date = {2019-01-01},
booktitle = {IJCAI},
pages = {506–512},
publisher = {ijcai.org},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 41. | Reza Hadi Mogavi; Sujit Gujar; Xiaojuan Ma; Pan Hui HRCR: Hidden Markov-Based Reinforcement to Reduce Churn in Question
Answering Forums Conference PRICAI (1), pp. 364–376, Springer, 2019. BibTeX @inproceedings{DBLP:conf/pricai/MogaviGMH19,
title = {HRCR: Hidden Markov-Based Reinforcement to Reduce Churn in Question
Answering Forums},
author = {Reza Hadi Mogavi and Sujit Gujar and Xiaojuan Ma and Pan Hui},
year = {2019},
date = {2019-01-01},
booktitle = {PRICAI (1)},
volume = {11670},
pages = {364–376},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 40. | Sankarshan Damle; Boi Faltings; Sujit Gujar A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders Conference AAMAS, pp. 1916–1918, International Foundation for Autonomous Agents and Multiagent Systems, 2019. BibTeX @inproceedings{DBLP:conf/atal/DamleFG19,
title = {A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders},
author = {Sankarshan Damle and Boi Faltings and Sujit Gujar},
year = {2019},
date = {2019-01-01},
booktitle = {AAMAS},
pages = {1916–1918},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 39. | Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding Conference AAMAS, pp. 1919–1921, International Foundation for Autonomous Agents and Multiagent Systems, 2019. BibTeX @inproceedings{DBLP:conf/atal/DamleMCG19,
title = {Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding},
author = {Sankarshan Damle and Moin Hussain Moti and Praphul Chandra and Sujit Gujar},
year = {2019},
date = {2019-01-01},
booktitle = {AAMAS},
pages = {1919–1921},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 38. | Padala Manisha; Sujit Gujar Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks Conference AAMAS, pp. 2111–2113, International Foundation for Autonomous Agents and Multiagent Systems, 2019. BibTeX @inproceedings{DBLP:conf/atal/ManishaG19,
title = {Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks},
author = {Padala Manisha and Sujit Gujar},
year = {2019},
date = {2019-01-01},
booktitle = {AAMAS},
pages = {2111–2113},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 37. | Vaibhav Gupta; Daksh Anand; Praveen Paruchuri; Balaraman Ravindran Advice Replay Approach for Richer Knowledge Transfer in Teacher Student
Framework Conference AAMAS, pp. 1997–1999, International Foundation for Autonomous Agents and Multiagent Systems, 2019. BibTeX @inproceedings{DBLP:conf/atal/GuptaAPR19,
title = {Advice Replay Approach for Richer Knowledge Transfer in Teacher Student
Framework},
author = {Vaibhav Gupta and Daksh Anand and Praveen Paruchuri and Balaraman Ravindran},
year = {2019},
date = {2019-01-01},
booktitle = {AAMAS},
pages = {1997–1999},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 36. | Susobhan Ghosh; Easwar Subramanian; Sanjay Bhat P; Sujit Gujar; Praveen Paruchuri VidyutVanika: A Reinforcement Learning Based Broker Agent for a
Power Trading Competition Conference AAAI, pp. 914–921, AAAI Press, 2019. BibTeX @inproceedings{DBLP:conf/aaai/GhoshSBGP19,
title = {VidyutVanika: A Reinforcement Learning Based Broker Agent for a
Power Trading Competition},
author = {Susobhan Ghosh and Easwar Subramanian and Sanjay P Bhat and Sujit Gujar and Praveen Paruchuri},
year = {2019},
date = {2019-01-01},
booktitle = {AAAI},
pages = {914–921},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 35. | Tarun Gupta; Akshat Kumar; Praveen Paruchuri Successor Features Based Multi-Agent RL for Event-Based Decentralized
MDPs Conference AAAI, pp. 6054–6061, AAAI Press, 2019. BibTeX @inproceedings{DBLP:conf/aaai/0002KP19,
title = {Successor Features Based Multi-Agent RL for Event-Based Decentralized
MDPs},
author = {Tarun Gupta and Akshat Kumar and Praveen Paruchuri},
year = {2019},
date = {2019-01-01},
booktitle = {AAAI},
pages = {6054–6061},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 34. | Kulin Shah; Naresh Manwani Sparse Reject Option Classifier Using Successive Linear Programming Conference AAAI, pp. 4870–4877, AAAI Press, 2019. BibTeX @inproceedings{DBLP:conf/aaai/ShahM19,
title = {Sparse Reject Option Classifier Using Successive Linear Programming},
author = {Kulin Shah and Naresh Manwani},
year = {2019},
date = {2019-01-01},
booktitle = {AAAI},
pages = {4870–4877},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 33. | Satyanath Bhat; Shweta Jain; Sujit Gujar; Narahari Y An optimal bidimensional multi-armed bandit auction for multi-unit
procurement Journal Article Ann. Math. Artif. Intell., 85 (1), pp. 1–19, 2019. BibTeX @article{DBLP:journals/amai/BhatJGN19,
title = {An optimal bidimensional multi-armed bandit auction for multi-unit
procurement},
author = {Satyanath Bhat and Shweta Jain and Sujit Gujar and Y Narahari},
year = {2019},
date = {2019-01-01},
journal = {Ann. Math. Artif. Intell.},
volume = {85},
number = {1},
pages = {1–19},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| 32. | Naresh Manwani PRIL: Perceptron Ranking Using Interval Labels Conference COMAD/CODS, pp. 78–85, ACM, 2019. BibTeX @inproceedings{DBLP:conf/comad/Manwani19,
title = {PRIL: Perceptron Ranking Using Interval Labels},
author = {Naresh Manwani},
year = {2019},
date = {2019-01-01},
booktitle = {COMAD/CODS},
pages = {78–85},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 31. | Susobhan Ghosh; Kritika Prakash; Sanjay Chandlekar; Easwar Subramanian; Sanjay Bhat P; Sujit Gujar; Praveen Paruchuri Vidyutvanika: An autonomous broker agent for smart grid environment Conference PASS, Policy, Awareness, Sustainability and Systems (PASS) Workshop, 2019. BibTeX @inproceedings{ghosh2019vidyutvanika,
title = {Vidyutvanika: An autonomous broker agent for smart grid environment},
author = {Susobhan Ghosh and Kritika Prakash and Sanjay Chandlekar and Easwar Subramanian and Sanjay P Bhat and Sujit Gujar and Praveen Paruchuri},
year = {2019},
date = {2019-01-01},
booktitle = {PASS},
volume = {7},
publisher = {Policy, Awareness, Sustainability and Systems (PASS) Workshop},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 30. | Girish Varma; Anbumani Subramanian; Anoop Namboodiri; Manmohan Chandraker; Jawahar C V IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments Conference 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE 2019. BibTeX @inproceedings{anue,
title = {IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments},
author = {Girish Varma and Anbumani Subramanian and Anoop Namboodiri and Manmohan Chandraker and C V Jawahar},
year = {2019},
date = {2019-01-01},
booktitle = {2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
|
| 29. | Soham Saha; Girish Varma; Jawahar C V Class2Str: End to End Latent Hierarchy Learning Conference International Conference on Pattern Recognision (ICPR). year = 2018, 2018. BibTeX @inproceedings{SVJ18b,
title = {Class2Str: End to End Latent Hierarchy Learning},
author = {Soham Saha and Girish Varma and C V Jawahar},
year = {2018},
date = {2018-08-20},
booktitle = {International Conference on Pattern Recognision (ICPR). year = 2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 28. | Nikitha Vallurupalli; Sriharsha Annamaneni; Girish Varma; Jawahar C V; Manu Mathew; Soyeb Nagori Efficient Semantic Segmentation Using Gradual Grouping Conference The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018. BibTeX @inproceedings{Vallurupalli_2018_CVPR_Workshops,
title = {Efficient Semantic Segmentation Using Gradual Grouping},
author = {Nikitha Vallurupalli and Sriharsha Annamaneni and Girish Varma and C V Jawahar and Manu Mathew and Soyeb Nagori},
year = {2018},
date = {2018-06-01},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 27. | Shweta Jain; Sujit Gujar; Satyanath Bhat; Onno Zoeter; Narahari Y A quality assuring, cost optimal multi-armed bandit mechanism for
expertsourcing Journal Article Artif. Intell., 254 , pp. 44–63, 2018. BibTeX @article{DBLP:journals/ai/JainGBZN18,
title = {A quality assuring, cost optimal multi-armed bandit mechanism for
expertsourcing},
author = {Shweta Jain and Sujit Gujar and Satyanath Bhat and Onno Zoeter and Y Narahari},
year = {2018},
date = {2018-01-01},
journal = {Artif. Intell.},
volume = {254},
pages = {44–63},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| 26. | Ganesh Ghalme; Sujit Gujar; Amleshwar Kumar; Shweta Jain; Narahari Y Design of Coalition Resistant Credit Score Functions for Online Discussion
Forums Conference AAMAS, pp. 95–103, International Foundation for Autonomous Agents and Multiagent Systems
Richland, SC, USA / ACM, 2018. BibTeX @inproceedings{DBLP:conf/atal/GhalmeGKJN18,
title = {Design of Coalition Resistant Credit Score Functions for Online Discussion
Forums},
author = {Ganesh Ghalme and Sujit Gujar and Amleshwar Kumar and Shweta Jain and Y Narahari},
year = {2018},
date = {2018-01-01},
booktitle = {AAMAS},
pages = {95–103},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems
Richland, SC, USA / ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 25. | Padala Manisha; Jawahar C V; Sujit Gujar Learning Optimal Redistribution Mechanisms Through Neural Networks Conference AAMAS, pp. 345–353, International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, 2018. BibTeX @inproceedings{DBLP:conf/atal/ManishaJG18,
title = {Learning Optimal Redistribution Mechanisms Through Neural Networks},
author = {Padala Manisha and C V Jawahar and Sujit Gujar},
year = {2018},
date = {2018-01-01},
booktitle = {AAMAS},
pages = {345–353},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 24. | Dimitris Chatzopoulos; Sujit Gujar; Boi Faltings; Pan Hui Privacy Preserving and Cost Optimal Mobile Crowdsensing Using Smart
Contracts on Blockchain Conference MASS, pp. 442–450, IEEE Computer Society, 2018. BibTeX @inproceedings{DBLP:conf/mass/ChatzopoulosGFH18,
title = {Privacy Preserving and Cost Optimal Mobile Crowdsensing Using Smart
Contracts on Blockchain},
author = {Dimitris Chatzopoulos and Sujit Gujar and Boi Faltings and Pan Hui},
year = {2018},
date = {2018-01-01},
booktitle = {MASS},
pages = {442–450},
publisher = {IEEE Computer Society},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 23. | Subba Reddy Oota; Naresh Manwani; Raju Bapi S fMRI Semantic Category Decoding Using Linguistic Encoding of Word
Embeddings Conference ICONIP (3), pp. 3–15, Springer, 2018. BibTeX @inproceedings{DBLP:conf/iconip/OotaMB18,
title = {fMRI Semantic Category Decoding Using Linguistic Encoding of Word
Embeddings},
author = {Subba Reddy Oota and Naresh Manwani and Raju S Bapi},
year = {2018},
date = {2018-01-01},
booktitle = {ICONIP (3)},
volume = {11303},
pages = {3–15},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 22. | Tarun Gupta; Akshat Kumar; Praveen Paruchuri Planning and Learning for Decentralized MDPs with Event Driven Rewards Conference AAAI Workshops, pp. 665, AAAI Press, 2018. BibTeX @inproceedings{DBLP:conf/aaai/GuptaKP18a,
title = {Planning and Learning for Decentralized MDPs with Event Driven Rewards},
author = {Tarun Gupta and Akshat Kumar and Praveen Paruchuri},
year = {2018},
date = {2018-01-01},
booktitle = {AAAI Workshops},
volume = {WS-18},
pages = {665},
publisher = {AAAI Press},
series = {AAAI Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 21. | Tarun Gupta; Akshat Kumar; Praveen Paruchuri Planning and Learning for Decentralized MDPs With Event Driven Rewards Conference AAAI, pp. 6186–6194, AAAI Press, 2018. BibTeX @inproceedings{DBLP:conf/aaai/GuptaKP18b,
title = {Planning and Learning for Decentralized MDPs With Event Driven Rewards},
author = {Tarun Gupta and Akshat Kumar and Praveen Paruchuri},
year = {2018},
date = {2018-01-01},
booktitle = {AAAI},
pages = {6186–6194},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 20. | Praveen Paruchuri; Sujit Gujar Fusion of Game Theory and Big Data for AI Applications Conference BDA, pp. 55–69, Springer, 2018. BibTeX @inproceedings{DBLP:conf/bigda/ParuchuriG18,
title = {Fusion of Game Theory and Big Data for AI Applications},
author = {Praveen Paruchuri and Sujit Gujar},
year = {2018},
date = {2018-01-01},
booktitle = {BDA},
volume = {11297},
pages = {55–69},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 19. | Gaurav Gupta; Sreeja Kamishetty; Praveen Paruchuri A Prioritized Routing Assistant for Flow of Traffic Conference ITSC, pp. 3627–3632, IEEE, 2018. BibTeX @inproceedings{DBLP:conf/itsc/GuptaKP18,
title = {A Prioritized Routing Assistant for Flow of Traffic},
author = {Gaurav Gupta and Sreeja Kamishetty and Praveen Paruchuri},
year = {2018},
date = {2018-01-01},
booktitle = {ITSC},
pages = {3627–3632},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 18. | Ameya Prabhu; Girish Varma; Anoop Namboodiri Deep Expander Networks: Efficient Deep Networks from Graph Theory Conference Ferrari, Vittorio; Hebert, Martial; Sminchisescu, Cristian; Weiss, Yair (Ed.): Computer Vision — ECCV 2018, pp. 20–36, Springer International Publishing, Cham, 2018, ISBN: 978-3-030-01261-8. BibTeX @inproceedings{PVN18,
title = {Deep Expander Networks: Efficient Deep Networks from Graph Theory},
author = {Ameya Prabhu and Girish Varma and Anoop Namboodiri},
editor = {Vittorio Ferrari and Martial Hebert and Cristian Sminchisescu and Yair Weiss},
isbn = {978-3-030-01261-8},
year = {2018},
date = {2018-01-01},
booktitle = {Computer Vision — ECCV 2018},
pages = {20–36},
publisher = {Springer International Publishing},
address = {Cham},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 17. | Soham Saha; Girish Varma; Jawahar C V Improved Visual Relocalization by Discovering Anchor Points Conference British Machine Vision Conference 2018, BMVC 2018, Northumbria University, Newcastle, UK, September 3-6, 2018, pp. 164, 2018. Links | BibTeX @inproceedings{SVJ18,
title = {Improved Visual Relocalization by Discovering Anchor Points},
author = {Soham Saha and Girish Varma and C V Jawahar},
url = {http://bmvc2018.org/contents/papers/0962.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {British Machine Vision Conference 2018, BMVC 2018, Northumbria University, Newcastle, UK, September 3-6, 2018},
pages = {164},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 16. | Sudhir Yarram; Girish Varma; Jawahar C V City-Scale Road Audit System using Deep Learning Conference International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018, 2018. BibTeX @inproceedings{YVJ18,
title = {City-Scale Road Audit System using Deep Learning},
author = {Sudhir Yarram and Girish Varma and C V Jawahar},
year = {2018},
date = {2018-01-01},
booktitle = {International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
|
| 15. | Ganesh Ghalme; Shweta Jain; Sujit Gujar; Narahari Y Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit
Problems Conference AAMAS, pp. 87–95, ACM, 2017. BibTeX @inproceedings{DBLP:conf/atal/GhalmeJGN17,
title = {Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit
Problems},
author = {Ganesh Ghalme and Shweta Jain and Sujit Gujar and Y Narahari},
year = {2017},
date = {2017-01-01},
booktitle = {AAMAS},
pages = {87–95},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 14. | Praphul Chandra; Sujit Gujar; Yadati Narahari Referral-Embedded Provision Point Mechanisms for Crowdfunding of Public
Projects Conference AAMAS, pp. 642–650, ACM, 2017. BibTeX @inproceedings{DBLP:conf/atal/ChandraGN17,
title = {Referral-Embedded Provision Point Mechanisms for Crowdfunding of Public
Projects},
author = {Praphul Chandra and Sujit Gujar and Yadati Narahari},
year = {2017},
date = {2017-01-01},
booktitle = {AAMAS},
pages = {642–650},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 13. | Aritra Ghosh; Naresh Manwani; Sastry P S On the Robustness of Decision Tree Learning Under Label Noise Conference PAKDD (1), pp. 685–697, 2017. BibTeX @inproceedings{DBLP:conf/pakdd/GhoshMS17,
title = {On the Robustness of Decision Tree Learning Under Label Noise},
author = {Aritra Ghosh and Naresh Manwani and P S Sastry},
year = {2017},
date = {2017-01-01},
booktitle = {PAKDD (1)},
volume = {10234},
pages = {685–697},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 12. | Rashi Aswani; Sai Krishna Munnangi; Praveen Paruchuri Improving Surveillance Using Cooperative Target Observation Conference AAAI, pp. 2985–2991, AAAI Press, 2017. BibTeX @inproceedings{DBLP:conf/aaai/AswaniMP17,
title = {Improving Surveillance Using Cooperative Target Observation},
author = {Rashi Aswani and Sai Krishna Munnangi and Praveen Paruchuri},
year = {2017},
date = {2017-01-01},
booktitle = {AAAI},
pages = {2985–2991},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 11. | Sujit Gujar; Boi Faltings Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing Book Chapter Ceppi, Sofia; David, Esther; Hajaj, Chen; Robu, Valentin; Vetsikas, Ioannis A (Ed.): pp. 50–65, Springer International Publishing, Cham, 2017, ISBN: 978-3-319-54229-4, (Revised Selected Papers from AMEC/TADA 2015). Abstract | BibTeX @inbook{10.1007/978-3-319-54229-4_4,
title = {Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing},
author = {Sujit Gujar and Boi Faltings},
editor = {Sofia Ceppi and Esther David and Chen Hajaj and Valentin Robu and Ioannis A Vetsikas},
isbn = {978-3-319-54229-4},
year = {2017},
date = {2017-01-01},
pages = {50–65},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {Crowdsourcing marketplaces link large populations of workers to an even larger number of tasks. Thus, it is necessary to have mechanisms for matching workers with interesting and suitable tasks. Earlier work has addressed the problem of finding optimal workers for a given set of tasks. However, workers also have preferences and will stay with a platform only if it gives them interesting tasks. We therefore analyze several matching mechanisms that take into account workers’ preferences as well. We propose that the workers pay premiums to get preferred matches and auction-based models where preferences are expressed through variations of the payment for a task. We analyze the properties of two matching different mechanisms: Split Dynamic VCG (SDV) and e-Auction. We compare both the mechanisms with Arrival Priority Serial Dictatorship (APSD) empirically for efficiency.},
note = {Revised Selected Papers from AMEC/TADA 2015},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Crowdsourcing marketplaces link large populations of workers to an even larger number of tasks. Thus, it is necessary to have mechanisms for matching workers with interesting and suitable tasks. Earlier work has addressed the problem of finding optimal workers for a given set of tasks. However, workers also have preferences and will stay with a platform only if it gives them interesting tasks. We therefore analyze several matching mechanisms that take into account workers’ preferences as well. We propose that the workers pay premiums to get preferred matches and auction-based models where preferences are expressed through variations of the payment for a task. We analyze the properties of two matching different mechanisms: Split Dynamic VCG (SDV) and e-Auction. We compare both the mechanisms with Arrival Priority Serial Dictatorship (APSD) empirically for efficiency. |
2016
|
| 10. | Sujit Gujar; Boi Faltings Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing Conference AMEC/TADA, pp. 50–65, Springer, 2016. BibTeX @inproceedings{DBLP:conf/amec/GujarF16,
title = {Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing},
author = {Sujit Gujar and Boi Faltings},
year = {2016},
date = {2016-01-01},
booktitle = {AMEC/TADA},
volume = {271},
pages = {50–65},
publisher = {Springer},
series = {Lecture Notes in Business Information Processing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 9. | Shweta Jain; Ganesh Ghalme; Satyanath Bhat; Sujit Gujar; Narahari Y A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic
Regret and Immediate Payments Conference AAMAS, pp. 86–94, ACM, 2016. BibTeX @inproceedings{DBLP:conf/atal/JainGBGN16,
title = {A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic
Regret and Immediate Payments},
author = {Shweta Jain and Ganesh Ghalme and Satyanath Bhat and Sujit Gujar and Y Narahari},
year = {2016},
date = {2016-01-01},
booktitle = {AAMAS},
pages = {86–94},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 8. | Praphul Chandra; Sujit Gujar; Narahari Y Crowdfunding Public Projects with Provision Point: A Prediction
Market Approach Conference ECAI, pp. 778–786, IOS Press, 2016. BibTeX @inproceedings{DBLP:conf/ecai/ChandraGN16,
title = {Crowdfunding Public Projects with Provision Point: A Prediction
Market Approach},
author = {Praphul Chandra and Sujit Gujar and Y Narahari},
year = {2016},
date = {2016-01-01},
booktitle = {ECAI},
volume = {285},
pages = {778–786},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 7. | Sujit Gujar; Boi Faltings Online Auctions for Dynamic Assignment: Theory and Empirical Evaluation Conference ECAI, pp. 1035–1043, IOS Press, 2016. BibTeX @inproceedings{DBLP:conf/ecai/GujarF16,
title = {Online Auctions for Dynamic Assignment: Theory and Empirical Evaluation},
author = {Sujit Gujar and Boi Faltings},
year = {2016},
date = {2016-01-01},
booktitle = {ECAI},
volume = {285},
pages = {1035–1043},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 6. | Praphul Chandra; Sujit Gujar; Narahari Y Crowdsourced Referral Auctions Conference ECAI, pp. 1654–1655, IOS Press, 2016. BibTeX @inproceedings{DBLP:conf/ecai/ChandraGN16a,
title = {Crowdsourced Referral Auctions},
author = {Praphul Chandra and Sujit Gujar and Y Narahari},
year = {2016},
date = {2016-01-01},
booktitle = {ECAI},
volume = {285},
pages = {1654–1655},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 5. | Dimitris Chatzopoulos; Sujit Gujar; Boi Faltings; Pan Hui LocalCoin: An ad-hoc payment scheme for areas with high connectivity:
poster Conference MobiHoc, pp. 365–366, ACM, 2016. BibTeX @inproceedings{DBLP:conf/mobihoc/ChatzopoulosGFH16,
title = {LocalCoin: An ad-hoc payment scheme for areas with high connectivity:
poster},
author = {Dimitris Chatzopoulos and Sujit Gujar and Boi Faltings and Pan Hui},
year = {2016},
date = {2016-01-01},
booktitle = {MobiHoc},
pages = {365–366},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 4. | Akash Agarwal; Praveen Paruchuri Analysis of Lane Level Dynamics for Emergency Vehicle Traversal: (Extended
Abstract) Conference AAMAS, pp. 1389–1390, ACM, 2016. BibTeX @inproceedings{DBLP:conf/atal/AgarwalP16,
title = {Analysis of Lane Level Dynamics for Emergency Vehicle Traversal: (Extended
Abstract)},
author = {Akash Agarwal and Praveen Paruchuri},
year = {2016},
date = {2016-01-01},
booktitle = {AAMAS},
pages = {1389–1390},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
