![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Manish 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
— 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
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c126]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 - [c125]Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar:
DQAC: Detoxifying Query Auto-completion with Adapters. PAKDD (6) 2024: 108-120 - [c124]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 - [c123]Daivik Sojitra
, Raghav Jain
, Sriparna Saha
, Adam Jatowt
, Manish Gupta
:
Timeline Summarization in the Era of LLMs. SIGIR 2024: 2657-2661 - [i43]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) - 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) - [c122]Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
How does the brain process syntactic structure while listening? ACL (Findings) 2023: 6624-6647 - [c121]Shrey Gupta
, Pratyush Priyadarshi
, Manish Gupta
:
Hateful Comment Detection and Hate Target Type Prediction for Video Comments. CIKM 2023: 3923-3927 - [c120]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 - [c119]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 - [c118]Manish Gupta, Meghana Joshi, Puneet Agrawal:
Deep Learning Methods for Query Auto Completion. ECIR (3) 2023: 341-348 - [c117]Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal:
Frugal Prompting for Dialog Models. EMNLP (Findings) 2023: 4383-4407 - [c116]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 - [c115]Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
Neural Architecture of Speech. ICASSP 2023: 1-5 - [c114]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 - [c113]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 - [c112]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 - [c111]Subba Reddy Oota, Manish Gupta, Mariya Toneva:
Joint processing of linguistic properties in brains and language models. NeurIPS 2023 - [c110]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 - [c109]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 - [c108]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) - [c107]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva:
Deep Learning for Brain Encoding and Decoding. CogSci 2022 - [c106]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Multi-view and Cross-view Brain Decoding. COLING 2022: 105-115 - [c105]Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. COLING 2022: 116-133 - [c104]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 - [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 - [e2]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] - [e1]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 - [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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-16 19:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint