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2020 – today
- 2024
[c12]Ambuje Gupta, Mrinal Rawat, Andreas Stolcke, Roberto Pieraccini:
REFINE on Scarce Data: Retrieval Enhancement Through Fine-Tuning via Model Fusion of Embedding Models. AI (1) 2024: 73-85- [i5]Ambuje Gupta, Mrinal Rawat, Andreas Stolcke, Roberto Pieraccini:
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models. CoRR abs/2410.12890 (2024) - [i4]Mrinal Rawat, Hithesh Sankararaman, Victor Barrès:
Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning. CoRR abs/2410.14755 (2024) - 2023
- [c11]Mrinal Rawat, Hithesh Sankararaman, Victor Barrès:
Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning. IJCNLP (1) 2023: 793-803 - 2022
- [i3]Mrinal Rawat, Victor Barrès:
Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations. CoRR abs/2208.06802 (2022) - 2021
- [c10]Mrinal Rawat, Diptesh Kanojia:
Automated Evidence Collection for Fake News Detection. ICON 2021: 456-464 - [c9]Rishi Tiwari, Mohammed Afaque, Amit Sangroya, Mrinal Rawat:
ROC Bot: Towards Designing Virtual Command Centre for Energy Management. PAKDD (Workshops) 2021: 155-167 - [i2]Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig:
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation. CoRR abs/2111.00506 (2021) - [i1]Mrinal Rawat, Diptesh Kanojia:
Automated Evidence Collection for Fake News Detection. CoRR abs/2112.06507 (2021) - 2020
- [c8]Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan:
Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. CVPR Workshops 2020: 2377-2385
2010 – 2019
- 2019
- [c7]C. Anantaram, Mouli Rastogi, Mrinal Rawat, Pratik Saini:
Enabling Natural Language Analytics over Relational Data Using Formal Concept Analysis. FCA4AI@IJCAI 2019: 7-18 - [c6]Amit Sangroya, C. Anantaram, Mrinal Rawat, Mouli Rastogi:
Using Formal Concept Analysis to Explain Black Box Deep Learning Classification Models. FCA4AI@IJCAI 2019: 19-26 - [c5]Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram:
Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning. PAKDD (Workshops) 2019: 286-297 - 2018
- [c4]Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat:
Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots. AAAI Workshops 2018: 731-734 - [c3]C. Anantaram, Amit Sangroya, Mrinal Rawat, Aishwarya Chhabra:
Repairing ASR output by Artificial Development and Ontology based Learning. IJCAI 2018: 5799-5801 - [c2]Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat:
Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot. IJCAI 2018: 5853-5855 - [c1]Gunjan Sehgal, Mrinal Rawat, Bindu Gupta, Garima Gupta, Geetika Sharma
, Gautam Shroff:
Visual Predictive Analytics using iFuseML. EuroVA@EuroVis 2018: 13-17
Coauthor Index
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