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ORCIDManish Gupta 0001
Person information
- affiliation: Microsoft India R&D, Hyderabad, India
- affiliation (former): International Institute of Information Technology, Hyderabad, India
- affiliation (PhD 2013): University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- affiliation (former): Yahoo! Bangalore
Other persons with the same name
- Manish Gupta — disambiguation page
- Manish Gupta 0002 (aka: Manish K. Gupta 0002) — IIIT Bangalore, Infosys Foundation, India (and 6 more)
- Manish S. Gupta (aka: Manish Gupta 0003) — IIT Bombay, India
- Manish Gupta 0004 — M&T Bank, Buffalo, NY, USA (and 1 more)
- Manish Gupta 0005 — Indian Institute of Technology, Delhi
- Manish Gupta 0006 — IIT Guwahati, India
- Manish Gupta 0007 — IBM Solutions Research Centre, New Delhi (and 1 more)
- Manish Gupta 0008 — Rudolph Technologies (and 1 more)
- Manish Gupta 0009
![[0000-0003-1006-6559]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1006-6559")
— Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA - Manish Gupta 0010 — University of California, San Diego, USA
- Manish Gupta 0011 — Baba Farid College of Engineering and Technology, Department of Applied Sciences, Bathinda, India
Other persons with a similar name
- Manish K. Gupta — disambiguation page
- Manish Kumar Gupta
- Manish X. Gupta
- Manish Z. Gupta
- Manish K. Gupta 0001 — Medicinal and Process Chemistry Division, Central Drug Research Institute, Lucknow, India
- Manish K. Gupta 0003 — Louisiana State University, Baton Rouge, LA, USA
- Manish K. Gupta 0004 — Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India
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2020 – today
- 2024
[c128]Prajwal Gatti, Kshitij Parikh, Dhriti Prasanna Paul, Manish Gupta, Anand Mishra:
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions. AAAI 2024: 1869-1877- [c127]Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar:
DQAC: Detoxifying Query Auto-completion with Adapters. PAKDD (6) 2024: 108-120 - [c126]Rahul Mehta, Bhavyajeet Singh, Vasudeva Varma, Manish Gupta:
CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images. ECML/PKDD (1) 2024: 440-460 - [c125]Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar:
DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion. SIGIR 2024: 608-618 - [c124]Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta:
Timeline Summarization in the Era of LLMs. SIGIR 2024: 2657-2661 - [i46]Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek:
USDC: A Dataset of User Stance and Dogmatism in Long Conversations. CoRR abs/2406.16833 (2024) - [i45]Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal:
Review-Feedback-Reason (ReFeR): A Novel Framework for NLG Evaluation and Reasoning. CoRR abs/2407.12877 (2024) - [i44]Akhilesh Aravapalli, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi, Manish Gupta:
IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? CoRR abs/2410.02611 (2024) - [i43]Shanu Kumar, Akhila Yesantarao Venkata, Shubhanshu Khandelwal, Bishal Santra, Parag Agrawal, Manish Gupta:
SCULPT: Systematic Tuning of Long Prompts. CoRR abs/2410.20788 (2024) - 2023
- [j11]Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal:
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes. Data Min. Knowl. Discov. 37(6): 2306-2329 (2023) - [c123]Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
How does the brain process syntactic structure while listening? ACL (Findings) 2023: 6624-6647 - [c122]Shrey Gupta, Pratyush Priyadarshi, Manish Gupta:
Hateful Comment Detection and Hate Target Type Prediction for Video Comments. CIKM 2023: 3923-3927 - [c121]Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. ECAI 2023: 2162-2169 - [c120]Sahil Manoj Bhatt, Sahaj Agarwal, Omkar Gurjar, Manish Gupta, Manish Shrivastava:
TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain. ECIR (1) 2023: 150-166 - [c119]Manish Gupta, Meghana Joshi, Puneet Agrawal:
Deep Learning Methods for Query Auto Completion. ECIR (3) 2023: 341-348 - [c118]Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal:
Frugal Prompting for Dialog Models. EMNLP (Findings) 2023: 4383-4407 - [c117]Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta:
On Robustness of Finetuned Transformer-based NLP Models. EMNLP (Findings) 2023: 7180-7195 - [c116]Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
Neural Architecture of Speech. ICASSP 2023: 1-5 - [c115]Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra:
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. IJCAI 2023: 1312-1321 - [c114]Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. INLG 2023: 15-27 - [c113]Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? INTERSPEECH 2023: 5167-5171 - [c112]Subba Reddy Oota, Manish Gupta, Mariya Toneva:
Joint processing of linguistic properties in brains and language models. NeurIPS 2023 - [c111]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural Models for Factual Inconsistency Classification with Explanations. ECML/PKDD (3) 2023: 410-427 - [c110]Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Minghsun Liu, Manish Gupta:
WSNet: Towards An Effective Method for Wound Image Segmentation. WACV 2023: 3233-3242 - [c109]Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. WWW 2023: 1703-1713 - [i42]Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. CoRR abs/2301.00152 (2023) - [i41]Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Syntactic Structure Processing in the Brain while Listening. CoRR abs/2302.08589 (2023) - [i40]Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. CoRR abs/2303.12308 (2023) - [i39]Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta:
On Robustness of Finetuned Transformer-based NLP Models. CoRR abs/2305.14453 (2023) - [i38]Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal:
Frugal Prompting for Dialog Models. CoRR abs/2305.14919 (2023) - [i37]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural models for Factual Inconsistency Classification with Explanations. CoRR abs/2306.08872 (2023) - [i36]Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra:
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. CoRR abs/2306.16713 (2023) - [i35]Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut:
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). CoRR abs/2307.10246 (2023) - [i34]Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal:
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes. CoRR abs/2307.15455 (2023) - [i33]Ankita Maity, Anubhav Sharma, Rudra Dhar, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
Multilingual Bias Detection and Mitigation for Indian Languages. CoRR abs/2312.15181 (2023) - 2022
- [j10]Manish Gupta, Puneet Agrawal:
Compression of Deep Learning Models for Text: A Survey. ACM Trans. Knowl. Discov. Data 16(4): 61:1-61:55 (2022) - [c108]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva:
Deep Learning for Brain Encoding and Decoding. CogSci 2022 - [c107]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Multi-view and Cross-view Brain Decoding. COLING 2022: 105-115 - [c106]Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. COLING 2022: 116-133 - [c105]Sahil Chelaramani, Ankush Chatterjee, Sonam Damani, Kedhar Nath Narahari, Meghana Joshi, Manish Gupta, Puneet Agrawal:
Query-Document Topic Mismatch Detection. DASFAA (3) 2022: 413-424 - [c104]Arnav Kapoor, Manish Gupta:
Identifying Relevant Sentences for Travel Blogs from Wikipedia Articles. DASFAA (3) 2022: 532-536 - [c103]Prajwal Gatti, Anand Mishra, Manish Gupta, Mithun Das Gupta:
VisToT: Vision-Augmented Table-to-Text Generation. EMNLP 2022: 9936-9949 - [c102]Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. HT 2022: 11-20 - [c101]Venkata M. V. Gunturi, Rakesh Rajeev, Vipul Bondre, Aaditya Barnwal, Samir Jain, Ashank Anshuman, Manish Gupta:
A Case Study on Periodic Spatio- Temporal Hotspot Detection in Azure Traffic Data. ICDM (Workshops) 2022: 1037-1044 - [c100]Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. NAACL-HLT 2022: 1718-1734 - [c99]Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? NAACL-HLT 2022: 3220-3237 - [c98]Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Fact Aware Multi-task Learning for Text Coherence Modeling. PAKDD (2) 2022: 340-353 - [c97]Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty:
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. WSDM 2022: 1629-1631 - [c96]Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. WWW (Companion Volume) 2022: 171-175 - [c95]Arnav Kapoor, Dipanwita Guhathakurta, Mehul Mathur, Rupanshu Yadav, Manish Gupta, Ponnurangam Kumaraguru:
TweetBoost: Influence of Social Media on NFT Valuation. WWW (Companion Volume) 2022: 621-629 - [i32]Arnav Kapoor, Dipanwita Guhathakurta, Mehul Mathur, Rupanshu Yadav, Manish Gupta, Ponnurangam Kumaraguru:
TweetBoost: Influence of Social Media on NFT Valuation. CoRR abs/2201.08373 (2022) - [i31]Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. CoRR abs/2202.00291 (2022) - [i30]Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. CoRR abs/2204.08261 (2022) - [i29]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Cross-view Brain Decoding. CoRR abs/2204.09564 (2022) - [i28]Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? CoRR abs/2205.01404 (2022) - [i27]Bishal Santra, Ravi Ghadia, Arpit Dwivedi, Manish Gupta, Pawan Goyal:
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models. CoRR abs/2205.10558 (2022) - [i26]Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. CoRR abs/2209.11252 (2022) - [i25]Subba Reddy Oota, Manish Gupta, Mariya Toneva:
Joint processing of linguistic properties in brains and language models. CoRR abs/2212.08094 (2022) - 2021
- [j9]Pulkit Parikh, Harika Abburi, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Categorizing Sexism and Misogyny through Neural Approaches. ACM Trans. Web 15(4): 17:1-17:31 (2021) - [c94]Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
SCATE: shared cross attention transformer encoders for multimodal fake news detection. ASONAM 2021: 399-406 - [c93]Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma:
Goal-Directed Extractive Summarization of Financial Reports. CIKM 2021: 2817-2821 - [c92]Manoj K. Agarwal, Animesh Baranawal, Yogesh Simmhan, Manish Gupta:
Event Related Data Collection from Microblog Streams. DEXA (2) 2021: 319-331 - [c91]Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta:
Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing. KDD 2021: 3414-3422 - [c90]Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
T3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter. PAKDD (1) 2021: 686-700 - [c89]Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta:
HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. WACV 2021: 2462-2471 - [c88]Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash:
Multi-Task Knowledge Distillation for Eye Disease Prediction. WACV 2021: 3982-3992 - [c87]Mohit Chandra, Dheeraj Reddy Pailla, Himanshu Bhatia, AadilMehdi J. Sanchawala, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning. WebSci 2021: 148-157 - [e3]Jayant R. Haritsa, Shourya Roy, Manish Gupta, Sharad Mehrotra, Balaji Vasan Srinivasan, Yogesh Simmhan:
CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, Virtual Event, Bangalore, India, January 2-4, 2021. ACM 2021, ISBN 978-1-4503-8817-7 [contents] - [e2]Manish Gupta, Ganesh Ramakrishnan:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings. Lecture Notes in Computer Science 12705, Springer 2021, ISBN 978-3-030-75014-5 [contents] - [i24]Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. CoRR abs/2101.03553 (2021) - [i23]Mohit Chandra, Dheeraj Reddy Pailla, Himanshu Bhatia, AadilMehdi J. Sanchawala, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning. CoRR abs/2104.05947 (2021) - [i22]Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Transformer Models for Text Coherence Assessment. CoRR abs/2109.02176 (2021) - [i21]Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. CoRR abs/2112.05787 (2021) - 2020
- [c86]Rajarshee Mitra, Manish Gupta, Sandipan Dandapat:
Transformer Models for Recommending Related Questions in Web Search. CIKM 2020: 2153-2156 - [c85]Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari:
Compression of Deep Learning Models for NLP. CIKM 2020: 3507-3508 - [c84]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta, Vasudeva Varma:
Predicting Clickbait Strength in Online Social Media. COLING 2020: 4835-4846 - [c83]Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. COLING 2020: 6277-6283 - [c82]Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. SDP@EMNLP 2020: 336-343 - [c81]Manish Gupta, Chetna Das, Arnab Roy, Prashant Gupta, G. Radhakrishna Pillai, Kamlakar Patole:
Region of Interest Identification for Cervical Cancer Images. ISBI 2020: 1293-1296 - [c80]Sonam Damani, Kedhar Nath Narahari, Ankush Chatterjee, Manish Gupta, Puneet Agrawal:
Optimized Transformer Models for FAQ Answering. PAKDD (1) 2020: 235-248 - [c79]Ankush Chatterjee, Manish Gupta, Puneet Agrawal:
FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages. WSDM 2020: 829-832 - [i20]Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. CoRR abs/2001.05495 (2020) - [i19]Manish Gupta, Puneet Agrawal:
Compression of Deep Learning Models for Text: A Survey. CoRR abs/2008.05221 (2020) - [i18]Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. CoRR abs/2010.00038 (2020)
2010 – 2019
- 2019
- [j8]Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
A distant supervision based approach to medical persona classification. J. Biomed. Informatics 94 (2019) - [c78]Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma:
Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. AffCon@AAAI 2019: 120-128 - [c77]Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash:
Multi-task Learning for Fine-Grained Eye Disease Prediction. ACPR (2) 2019: 734-749 - [c76]Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Gupta, Manish Shrivastava, Vasudeva Varma:
Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries. ECIR (2) 2019: 45-52 - [c75]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. EMNLP/IJCNLP (1) 2019: 1642-1652 - [c74]Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra:
Elites Tweet? Characterizing the Twitter Verified User Network. ICDE Workshops 2019: 278-285 - [c73]Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. IJCNN 2019: 1-8 - [c72]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Nikhil Chakravartula, Manish Gupta, Vasudeva Varma:
FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter. SemEval@NAACL-HLT 2019: 70-74 - [c71]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Manish Gupta, Vasudeva Varma:
Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings. SemEval@NAACL-HLT 2019: 611-616 - [c70]Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Shrivastava, Manish Gupta, Vasudeva Varma:
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums. SemEval@NAACL-HLT 2019: 1160-1164 - [c69]Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta:
What sets Verified Users apart?: Insights, Analysis and Prediction of Verified Users on Twitter. WebSci 2019: 215-224 - [c68]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
clstk: The Cross-Lingual Summarization Tool-Kit. WSDM 2019: 766-769 - [c67]Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. WWW 2019: 49-59 - [c66]Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma:
MVAE: Multimodal Variational Autoencoder for Fake News Detection. WWW 2019: 2915-2921 - [i17]Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta:
What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter. CoRR abs/1903.04879 (2019) - [i16]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. CoRR abs/1910.04602 (2019) - [i15]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. CoRR abs/1912.11688 (2019) - [i14]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CoRR abs/1912.11701 (2019) - 2018
- [j7]Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta:
Harnessing Twitter for Answering Opinion List Queries. IEEE Trans. Comput. Soc. Syst. 5(4): 1083-1095 (2018) - [c65]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. AAAI 2018: 5473-5480 - [c64]Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar:
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. ACL (1) 2018: 1575-1584 - [c63]Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops 2018 - [c62]Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CIKM 2018: 307-316 - [c61]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. CIKM 2018: 1619-1622 - [c60]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. CIKM 2018: 1855-1858 - [c59]Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian:
STwalk: learning trajectory representations in temporal graphs. COMAD/CODS 2018: 210-219 - [c58]Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma:
Believe it or not!: identifying bizarre news in online news media. COMAD/CODS 2018: 257-264 - [c57]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
Translation Quality Estimation for Indian Languages. EAMT 2018: 179-188 - [c56]Raksha Sanjay Jalan, Manish Gupta, Vasudeva Varma:
Medical Forum Question Classification Using Deep Learning. ECIR 2018: 45-58 - [c55]Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma:
Neural Content-Collaborative Filtering for News Recommendation. NewsIR@ECIR 2018: 45-50 - [c54]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar:
Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR 2018: 59-71 - [c53]Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-Based Neural Text Segmentation. ECIR 2018: 180-193 - [c52]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar:
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR 2018: 556-562 - [c51]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
A Workbench for Rapid Generation of Cross-Lingual Summaries. LREC 2018 - [c50]Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. PAKDD (3) 2018: 231-243 - [c49]Srishti Gupta, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru:
Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks. WebSci 2018: 67-76 - [c48]Ayushi Dalmia, Ganesh J, Manish Gupta:
Towards Interpretation of Node Embeddings. WWW (Companion Volume) 2018: 945-952 - [i13]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar:
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR abs/1802.05121 (2018) - [i12]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar:
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR abs/1802.05130 (2018) - [i11]Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CoRR abs/1802.06371 (2018) - [i10]Srishti Gupta, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru:
Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks. CoRR abs/1804.00451 (2018) - [i9]Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-based Neural Text Segmentation. CoRR abs/1808.09935 (2018) - [i8]Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra:
Elites Tweet? Characterizing the Twitter Verified User Network. CoRR abs/1812.09710 (2018) - 2017
- [j6]Priya Radhakrishnan, Ganesh Jawahar, Manish Gupta, Vasudeva Varma:
SNEIT: Salient Named Entity Identification in Tweets. Computación y Sistemas 21(4) (2017) - [c47]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpretation of Semantic Tweet Representations. ASONAM 2017: 95-102 - [c46]Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Simultaneous Inference of User Representations and Trust. ASONAM 2017: 175-178 - [c45]Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
Medical Persona Classification in Social Media. ASONAM 2017: 377-384 - [c44]Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta:
Extracting Social Lists from Twitter. ASONAM 2017: 391-394 - [c43]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CIKM 2017: 2303-2306 - [c42]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Neural Architecture for News Recommendation. CLEF (Working Notes) 2017 - [c41]Ganesh J, Manish Gupta, Vasudeva Varma:
Improving Tweet Representations Using Temporal and User Context. ECIR 2017: 575-581 - [c40]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
User Profiling Based Deep Neural Network for Temporal News Recommendation. ICDM Workshops 2017: 765-772 - [c39]Raghuram Vadapalli, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
SSAS: Semantic Similarity for Abstractive Summarization. IJCNLP(2) 2017: 198-203 - [c38]Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta:
Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. KG4IR@SIGIR 2017: 38-42 - [c37]Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Learning for Hate Speech Detection in Tweets. WWW (Companion Volume) 2017: 759-760 - [e1]Partha Pratim Chakraborty, Manish Gupta, Lipika Dey, Shourya Roy:
Proceedings of the 10th Annual ACM India Compute Conference, Compute 2017, Bhopal, India, November 16-18, 2017. ACM 2017 [contents] - [i7]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpretation of Semantic Tweet Representations. CoRR abs/1704.00898 (2017) - [i6]Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Learning for Hate Speech Detection in Tweets. CoRR abs/1706.00188 (2017) - [i5]Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Simultaneous Inference of User Representations and Trust. CoRR abs/1706.00923 (2017) - [i4]Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian:
STWalk: Learning Trajectory Representations in Temporal Graphs. CoRR abs/1711.04150 (2017) - 2016
- [c36]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
Query-Based Evolutionary Graph Cuboid Outlier Detection. ICDM Workshops 2016: 85-92 - [c35]Manish Gupta, Prashant Gupta, Pravin K. Vaddavalli, Asra Fatima:
Predicting Post-operative Visual Acuity for LASIK Surgeries. PAKDD (1) 2016: 489-501 - [c34]Ganesh J, Manish Gupta, Vasudeva Varma:
Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation. SIGIR 2016: 809-812 - [c33]Ganesh J, Soumyajit Ganguly, Manish Gupta, Vasudeva Varma, Vikram Pudi:
Author2Vec: Learning Author Representations by Combining Content and Link Information. WWW (Companion Volume) 2016: 49-50 - [i3]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks. CoRR abs/1611.04887 (2016) - [i2]Ganesh J, Manish Gupta, Vasudeva Varma:
Improving Tweet Representations using Temporal and User Context. CoRR abs/1612.06062 (2016) - [i1]Supriya Pandhre, Manish Gupta, Vineeth N. Balasubramanian:
Community-based Outlier Detection for Edge-attributed Graphs. CoRR abs/1612.09435 (2016) - 2015
- [j5]Manish Gupta, Michael Bendersky:
Information Retrieval with Verbose Queries. Found. Trends Inf. Retr. 9(3-4): 91-208 (2015) - [c32]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
Query-based Graph Cuboid Outlier Detection. ASONAM 2015: 705-712 - [c31]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
IIIT-H at SemEval 2015: Twitter Sentiment Analysis - The Good, the Bad and the Neutral! SemEval@NAACL-HLT 2015: 520-526 - [c30]Manish Gupta:
CricketLinking: Linking Event Mentions from Cricket Match Reports to Ball Entities in Commentaries. SIGIR 2015: 1033-1034 - [c29]Manish Gupta, Michael Bendersky:
Information Retrieval with Verbose Queries. SIGIR 2015: 1121-1124 - 2014
- [b2]Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han:
Outlier Detection for Temporal Data. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00777-4 - [j4]Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han:
Outlier Detection for Temporal Data: A Survey. IEEE Trans. Knowl. Data Eng. 26(9): 2250-2267 (2014) - [j3]Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, Manish Gupta:
Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. IEEE Trans. Knowl. Data Eng. 26(12): 2942-2955 (2014) - [c28]Sandeep Panem, Manish Gupta, Vasudeva Varma:
Structured Information Extraction from Natural Disaster Events on Twitter. Web-KRM@CIKM 2014: 1-8 - [c27]Romil Bansal, Sandeep Panem, Manish Gupta, Vasudeva Varma:
EDIUM: Improving Entity Disambiguation via User Modeling. ECIR 2014: 418-423 - [c26]Sandeep Panem, Romil Bansal, Manish Gupta, Vasudeva Varma:
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter. ECIR 2014: 528-533 - [c25]Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
Top-K interesting subgraph discovery in information networks. ICDE 2014: 820-831 - [c24]Romil Bansal, Sandeep Panem, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma:
Linking Entities in #Microposts. #MSM 2014: 71-72 - [c23]Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han:
Local Learning for Mining Outlier Subgraphs from Network Datasets. SDM 2014: 73-81 - [c22]Priya Radhakrishnan, Romil Bansal, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia inlinks for linking entities in queries. ERD@SIGIR 2014: 101-104 - [c21]Priya Radhakrishnan, Manish Gupta, Vasudeva Varma:
Modeling the evolution of product entities. SIGIR 2014: 923-926 - [c20]Manish Gupta, Piyush Bansal, Vasudeva Varma:
CharBoxes: a system for automatic discovery of character infoboxes from books. SIGIR 2014: 1255-1256 - [c19]K. Santosh, Aditya Joshi, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors. UMAP Workshops 2014 - [c18]Manish Gupta, Rui Li, Kevin Chen-Chuan Chang:
Towards a social media analytics platform: event detection and user profiling for twitter. WWW (Companion Volume) 2014: 193-194 - [c17]Manish Gupta, Prashant Borole, Praful Hebbar, Rupesh Kumar Mehta, Niranjan Nayak:
Cross market modeling for query-entity matching. WWW (Companion Volume) 2014: 285-286 - 2013
- [b1]Manish Gupta:
Outlier detection for information networks. University of Illinois Urbana-Champaign, USA, 2013 - [c16]Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
On detecting association-based clique outliers in heterogeneous information networks. ASONAM 2013: 108-115 - [c15]Manish Gupta, Jing Gao, Jiawei Han:
Community Distribution Outlier Detection in Heterogeneous Information Networks. ECML/PKDD (1) 2013: 557-573 - 2012
- [c14]Manish Gupta, Jing Gao, ChengXiang Zhai, Jiawei Han:
Predicting future popularity trend of events in microblogging platforms. ASIST 2012: 1-10 - [c13]Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Integrating community matching and outlier detection for mining evolutionary community outliers. KDD 2012: 859-867 - [c12]Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Community Trend Outlier Detection Using Soft Temporal Pattern Mining. ECML/PKDD (2) 2012: 692-708 - [c11]Manish Gupta, Peixiang Zhao, Jiawei Han:
Evaluating Event Credibility on Twitter. SDM 2012: 153-164 - 2011
- [j2]Manish Gupta, Jiawei Han:
Heterogeneous network-based trust analysis: a survey. SIGKDD Explor. 13(1): 54-71 (2011) - [c10]Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun:
Evolutionary Clustering and Analysis of Bibliographic Networks. ASONAM 2011: 63-70 - [c9]Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han:
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. ASONAM 2011: 121-128 - [c8]Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal:
On Bayesian interpretation of fact-finding in information networks. FUSION 2011: 1-8 - [c7]Hieu Khac Le, Jeff Pasternack, Hossein Ahmadi, Manish Gupta, Yizhou Sun, Tarek F. Abdelzaher, Jiawei Han, Dan Roth, Boleslaw K. Szymanski, Sibel Adali:
Apollo: Towards factfinding in participatory sensing. IPSN 2011: 129-130 - [c6]Manish Gupta, Charu C. Aggarwal, Jiawei Han:
Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. SSTD 2011: 130-148 - [c5]Manish Gupta, Yizhou Sun, Jiawei Han:
Trust analysis with clustering. WWW (Companion Volume) 2011: 53-54 - [p1]Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han:
An Overview of Social Tagging and Applications. Social Network Data Analytics 2011: 447-497 - 2010
- [j1]Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han:
Survey on social tagging techniques. SIGKDD Explor. 12(1): 58-72 (2010) - [c4]Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han:
A Unified Framework for Link Recommendation Using Random Walks. ASONAM 2010: 152-159 - [c3]Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, Julia Hockenmaier:
Shallow Information Extraction from Medical Forum Data. COLING (Posters) 2010: 1158-1166 - [c2]Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, Bo Zhao:
Community evolution detection in dynamic heterogeneous information networks. MLG@KDD 2010: 137-146 - [c1]Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han:
LINKREC: a unified framework for link recommendation with user attributes and graph structure. WWW 2010: 1211-1212
Coauthor Index
[c126] [c121] [c114] [c111] [c109] [i42] [i40] [i37] [i33] [c102] [c98] [c96] [i31] [i26] [j9] [c94] [c93] [c90] [i24] [i22] [c85] [c84] [c82] [i20] [j8] [c78] [c76] [c75] [c72] [c71] [c70] [c68] [c67] [c66] [i16] [i15] [i14] [c65] [c63] [c61] [c60] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [i13] [i12] [i9] [j6] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [i7] [i6] [i5] [c36] [c34] [c33] [i3] [i2] [c32] [c31] [c28] [c27] [c26] [c24] [c22] [c21] [c20] [c19]
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