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Ramit Sawhney
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2020 – today
- 2024
- [c78]Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain:
DocScript: Document-level Script Event Prediction. LREC/COLING 2024: 5140-5155 - [c77]Ritesh Singh Soun, Atula Tejaswi Neerkaje, Ramit Sawhney, Nikolaos Aletras, Preslav Nakov:
RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation. LREC/COLING 2024: 14134-14145 - [c76]Samyak Jain, Parth Chhabra, Atula Tejaswi Neerkaje, Puneet Mathur, Ramit Sawhney, Shivam Agarwal, Preslav Nakov, Sudheer Chava, Dinesh Manocha:
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. LREC/COLING 2024: 14285-14297 - [c75]Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I. Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha:
DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding. EMNLP 2024: 15485-15505 - [c74]Samyak Jain, Parth Chhabra, Ramit Sawhney:
Uncovering Bias: Exploring Gender Dynamics in Distance-Aware Mixup Techniques. Tiny Papers @ ICLR 2024 - [c73]Ramit Sawhney, Megh Thakkar:
Sequence Mixup for Zero-Shot Cross-Lingual Part-of-speech Tagging. Tiny Papers @ ICLR 2024 - [c72]Manan Suri, Puneet Mathur, Ramit Sawhney, Preslav Nakov, Dinesh Manocha:
Doc2Command: Furthering Language Guided Document Editing. Tiny Papers @ ICLR 2024 - [c71]Ramit Sawhney, Shrey Pandit, Vishwa Shah, Megh Thakkar, Shafiq Joty:
AdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP. NAACL-HLT (Findings) 2024: 1757-1771 - [c70]Victor Petrén Bach Hansen, Atula Tejaswi Neerkaje, Ramit Sawhney, Lucie Flek, Anders Søgaard:
The Impact of Differential Privacy on Group Disparity Mitigation. NAACL-HLT (Findings) 2024: 3952-3965 - 2023
- [c69]Shivam Agarwal, Ritesh Soun, Rahul Shivani, Vishnu Varanasi, Navroop Gill, Ramit Sawhney:
HyperSteg: Hyperbolic Learning for Deep Steganography. ICASSP 2023: 1-5 - [c68]Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek:
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications. ICWSM 2023: 766-776 - [c67]Parth Chhabra
, Atula Tejaswi Neerkaje
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. SIGIR 2023: 2108-2112 - 2022
- [c66]Ramit Sawhney, Megh Thakkar, Shrey Pandit, Ritesh Soun, Di Jin, Diyi Yang, Lucie Flek:
DMix: Adaptive Distance-aware Interpolative Mixup. ACL (2) 2022: 606-612 - [c65]Shivam Agarwal, Ramit Sawhney, Sanchit Ahuja, Ritesh Soun, Sudheer Chava:
HYPHEN: Hyperbolic Hawkes Attention For Text Streams. ACL (2) 2022: 620-627 - [c64]Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur:
A Risk-Averse Mechanism for Suicidality Assessment on Social Media. ACL (2) 2022: 628-635 - [c63]Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Kapil Jayesh Pathak:
Orthogonal Multi-Manifold Enriching of Directed Networks. AISTATS 2022: 6074-6086 - [c62]Puneet Mathur, Mihir Goyal, Ramit Sawhney, Ritik Mathur, Jochen L. Leidner, Franck Dernoncourt, Dinesh Manocha:
DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents. EMNLP (Findings) 2022: 1933-1940 - [c61]Ramit Sawhney, Megh Thakkar, Ritesh Soun, Atula Tejaswi Neerkaje, Vasu Sharma, Dipanwita Guhathakurta, Sudheer Chava:
Tweet Based Reach Aware Temporal Attention Network for NFT Valuation. EMNLP (Findings) 2022: 6321-6332 - [c60]Ramit Sawhney, Atula Tejaswi Neerkaje:
Intermix: An Interference-Based Data Augmentation and Regularization Technique for Automatic Deep Sound Classification. ICASSP 2022: 3443-3447 - [c59]Vikram Gupta, Rini A. Sharon, Ramit Sawhney, Debdoot Mukherjee:
ADIMA: Abuse Detection In Multilingual Audio. ICASSP 2022: 6172-6176 - [c58]Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854 - [c57]Ramit Sawhney, Megh Thakkar, Vishwa Shah, Puneet Mathur, Vasu Sharma, Dinesh Manocha:
PISA: PoIncaré Saliency-Aware Interpolative Augmentation. INTERSPEECH 2022: 2663-2667 - [c56]Puneet Mathur, Atula Tejaswi Neerkaje, Malika Chhibber, Ramit Sawhney, Fuming Guo, Franck Dernoncourt, Sanghamitra Dutta, Dinesh Manocha:
MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues. ACM Multimedia 2022: 2276-2285 - [c55]Ramit Sawhney, Ritesh Soun, Shrey Pandit, Megh Thakkar, Sarvagya Malaviya, Yuval Pinter
CIAug: Equipping Interpolative Augmentation with Curriculum Learning. NAACL-HLT 2022: 1758-1764 - [c54]Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava:
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models. NAACL-HLT 2022: 5531-5545 - [c53]Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek:
Towards Suicide Ideation Detection Through Online Conversational Context. SIGIR 2022: 1716-1727 - [c52]Xiaolei Huang, Lucie Flek, Franck Dernoncourt, Charles Welch, Silvio Amir, Ramit Sawhney, Diyi Yang:
UserNLP'22: 2022 International Workshop on User-centered Natural Language Processing. WWW (Companion Volume) 2022: 1176-1177 - [i6]Vikram Gupta, Rini A. Sharon, Ramit Sawhney, Debdoot Mukherjee:
ADIMA: Abuse Detection In Multilingual Audio. CoRR abs/2202.07991 (2022) - [i5]Victor Petrén Bach Hansen, Atula Tejaswi Neerkaje, Ramit Sawhney, Lucie Flek, Anders Søgaard:
The Impact of Differential Privacy on Group Disparity Mitigation. CoRR abs/2203.02745 (2022) - [i4]Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava:
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models. CoRR abs/2206.06320 (2022) - [i3]Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek:
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application. CoRR abs/2209.02022 (2022) - 2021
- [j1]Ramit Sawhney, Harshit Joshi
Robust suicide risk assessment on social media via deep adversarial learning. J. Am. Medical Informatics Assoc. 28(7): 1497-1506 (2021) - [c51]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. AAAI 2021: 497-504 - [c50]Ramit Sawhney, Mihir Goyal, Prakhar Goel, Puneet Mathur, Rajiv Ratn Shah:
Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines. ACL/IJCNLP (1) 2021: 6751-6762 - [c49]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading. EACL 2021: 2164-2175 - [c48]Ramit Sawhney, Harshit Joshi
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media. EACL 2021: 2415-2428 - [c47]Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek:
HypMix: Hyperbolic Interpolative Data Augmentation. EMNLP (1) 2021: 9858-9868 - [c46]Suransh Chopra, Puneet Mathur, Ramit Sawhney, Rajiv Ratn Shah:
Meta-Learning for Low-Resource Speech Emotion Recognition. ICASSP 2021: 6259-6263 - [c45]Ramit Sawhney, Harshit Joshi
Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide Prevention. ICWSM 2021: 609-620 - [c44]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. IJCAI 2021: 3552-3558 - [c43]Ramit Sawhney, Harshit Joshi
Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning. NAACL-HLT 2021: 2176-2190 - [c42]Ramit Sawhney, Arshiya Aggarwal, Rajiv Ratn Shah:
An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls. NAACL-HLT 2021: 3751-3757 - [c41]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
Quantitative Day Trading from Natural Language using Reinforcement Learning. NAACL-HLT 2021: 4018-4030 - [c40]Ramit Sawhney, Puneet Mathur, Taru Jain, Akash Kumar Gautam, Rajiv Ratn Shah:
Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures. NAACL-HLT 2021: 4881-4892 - [c39]Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah:
Hyperbolic Online Time Stream Modeling. SIGIR 2021: 1682-1686 - [c38]Ramit Sawhney, Arnav Wadhwa, Ayush Mangal, Vivek Mittal, Shivam Agarwal, Rajiv Ratn Shah:
Modeling financial uncertainty with multivariate temporal entropy-based curriculums. UAI 2021: 1671-1681 - [c37]Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah:
Towards Ordinal Suicide Ideation Detection on Social Media. WSDM 2021: 22-30 - [c36]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. WWW 2021: 11-22 - 2020
- [c35]Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah:
Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment. AAAI 2020: 346-353 - [c34]Shivang Chopra
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. AAAI 2020: 386-393 - [c33]Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract). AAAI 2020: 13749-13750 - [c32]Anjali Bhavan, Mohit Sharma, Ramit Sawhney, Rajiv Ratn Shah:
Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract). AAAI 2020: 13753-13754 - [c31]Palak Goenka, Mehak Piplani, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract). AAAI 2020: 13797-13798 - [c30]Amit Jindal, Dwaraknath Gnaneshwar, Ramit Sawhney, Rajiv Ratn Shah:
Leveraging BERT with Mixup for Sentence Classification (Student Abstract). AAAI 2020: 13829-13830 - [c29]Puneet Mathur, Ramit Sawhney, Rajiv Ratn Shah:
Suicide Risk Assessment via Temporal Psycholinguistic Modeling (Student Abstract). AAAI 2020: 13873-13874 - [c28]Ramit Sawhney, Akash Kumar Gautam, Rajiv Ratn Shah:
BMGC 2020 Grand Challenge: Multi-Aspect Analysis of the MeToo Movement on Twitter. BigMM 2020: 481-484 - [c27]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion. COLING 2020: 4847-4859 - [c26]Amit Jindal, Arijit Ghosh Chowdhury, Aniket Didolkar, Di Jin, Ramit Sawhney, Rajiv Ratn Shah:
Augmenting NLP models using Latent Feature Interpolations. COLING 2020: 6931-6936 - [c25]Puneet Mathur, Ramit Sawhney, Shivang Chopra
Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation. ECIR (2) 2020: 265-271 - [c24]Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah, Rajesh Kumar Yadav, Dinesh Kumar Vishwakarma:
MEMIS: Multimodal Emergency Management Information System. ECIR (1) 2020: 479-494 - [c23]Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah:
A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media. EMNLP (1) 2020: 7685-7697 - [c22]Ramit Sawhney, Piyush Khanna, Arshiya Aggarwal, Taru Jain, Puneet Mathur, Rajiv Ratn Shah:
VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls. EMNLP (1) 2020: 8001-8013 - [c21]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations. EMNLP (1) 2020: 8415-8426 - [c20]Puneet Mathur, Mehak Piplani, Ramit Sawhney, Amit Jindal, Rajiv Ratn Shah:
Mixup Multi-Attention Multi-Tasking Model for Early-Stage Leukemia Identification. ICASSP 2020: 1045-1049 - [c19]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. ICDM 2020: 482-491 - [c18]Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah:
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. ICWSM 2020: 209-216 - [c17]Amit Jindal, Narayanan Elavathur Ranganatha, Aniket Didolkar, Arijit Ghosh Chowdhury, Di Jin, Ramit Sawhney, Rajiv Ratn Shah:
SpeechMix - Augmenting Deep Sound Recognition Using Hidden Space Interpolations. INTERSPEECH 2020: 861-865 - [c16]Ramit Sawhney, Arshiya Aggarwal, Piyush Khanna, Puneet Mathur, Taru Jain, Rajiv Ratn Shah:
Risk Forecasting from Earnings Calls Acoustics and Network Correlations. INTERSPEECH 2020: 2307-2311 - [c15]Ramit Sawhney, Puneet Mathur, Ayush Mangal, Piyush Khanna, Rajiv Ratn Shah, Roger Zimmermann:
Multimodal Multi-Task Financial Risk Forecasting. ACM Multimedia 2020: 456-465 - [i2]Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms. CoRR abs/2001.09215 (2020)
2010 – 2019
- 2019
- [c14]Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn Shah:
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic. ACL (2) 2019: 273-280 - [c13]Anjali Bhavan, Rohan Mishra, Pradyumna Prakhar Sinha, Ramit Sawhney, Rajiv Ratn Shah:
Investigating Political Herd Mentality: A Community Sentiment Based Approach. ACL (2) 2019: 281-287 - [c12]Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata:
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media. ACL (1) 2019: 2527-2537 - [c11]Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu:
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. CIKM 2019: 941-950 - [c10]Ramit Sawhney, Rajiv Ratn Shah, Vedant Bhatia, Chin-Teng Lin
Exploring the Impact of Evolutionary Computing based Feature Selection in Suicidal Ideation Detection. FUZZ-IEEE 2019: 1-6 - [c9]Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn Shah:
Beyond Hostile Linguistic Cues: The Gravity of Online Milieu for Hate Speech Detection in Arabic. HT 2019: 285-286 - [c8]Arijit Ghosh Chowdhury, Ramit Sawhney, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah:
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment. NAACL-HLT (Student Research Workshop) 2019: 136-146 - [c7]Rohan Mishra, Pradyumna Prakhar Sinha, Ramit Sawhney, Debanjan Mahata, Puneet Mathur, Rajiv Ratn Shah:
SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media. NAACL-HLT (Student Research Workshop) 2019: 147-156 - [i1]Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. CoRR abs/1912.06927 (2019) - 2018
- [c6]Ramit Sawhney, Prachi Manchanda, Raj Singh, Swati Aggarwal
A Computational Approach to Feature Extraction for Identification of Suicidal Ideation in Tweets. ACL (3) 2018: 91-98 - [c5]Puneet Mathur, Ramit Sawhney, Meghna Ayyar
Did you offend me? Classification of Offensive Tweets in Hinglish Language. ALW 2018: 138-148 - [c4]Puneet Mathur, Rajiv Ratn Shah, Ramit Sawhney, Debanjan Mahata:
Detecting Offensive Tweets in Hindi-English Code-Switched Language. SocialNLP@ACL 2018: 18-26 - [c3]Ramit Sawhney, Ravi Shankar, Roopal Jain:
A Comparative Study of Transfer Functions in Binary Evolutionary Algorithms for Single Objective Optimization. DCAI 2018: 27-35 - [c2]Ramit Sawhney, Puneet Mathur, Ravi Shankar:
A Firefly Algorithm Based Wrapper-Penalty Feature Selection Method for Cancer Diagnosis. ICCSA (1) 2018: 438-449 - [c1]Ramit Sawhney, Prachi Manchanda, Puneet Mathur, Rajiv Ratn Shah, Raj Singh:
Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning. WASSA@EMNLP 2018: 167-175
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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