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Shirish S. Karande
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Publications
- 2023
- [c57]Shubham Paliwal, Bhagyashree Gaikwad, Mayur Patidar, Manasi Patwardhan, Lovekesh Vig, Meghna Mahajan, Bagya Lakshmi V, Shirish S. Karande:
Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images. eCom@SIGIR 2023 - [i16]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana:
Symbolic Regression for PDEs using Pruned Differentiable Programs. CoRR abs/2303.07009 (2023) - [i15]Ritam Majumdar, Shirish Karande, Lovekesh Vig:
DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission. CoRR abs/2303.14194 (2023) - [i13]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana:
HyperLoRA for PDEs. CoRR abs/2308.09290 (2023) - [i12]Ritam Majumdar, Shirish Karande, Lovekesh Vig:
How important are specialized transforms in Neural Operators? CoRR abs/2308.09293 (2023) - [i11]Ritam Majumdar, Amey Varhade, Shirish S. Karande, Lovekesh Vig:
Can Physics Informed Neural Operators Self Improve? CoRR abs/2311.13885 (2023) - [i10]Anmol Singhal, Preethu Rose Anish, Shirish S. Karande, Smita Ghaisas:
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective. CoRR abs/2312.01398 (2023) - 2022
- [c56]Bhagyashree Gaikwad, Bhargav Kurma, Manasi Patwardhan, Shirish Karande, Niranjan Pedanekar:
Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper). DE-FACTIFY@AAAI 2022 - [c55]Rajaswa Patil, Manasi Patwardhan, Shirish Karande, Lovekesh Vig, Gautam Shroff:
Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. TL4NLP 2022: 103-114 - [i9]Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande, Niranjan Pedanekar:
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise. CoRR abs/2203.10085 (2022) - [i8]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig:
On NeuroSymbolic Solutions for PDEs. CoRR abs/2207.06240 (2022) - [i7]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana:
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. CoRR abs/2212.10032 (2022) - 2021
- [c54]Vivek Srivastava, Stephen Pilli, Savita Bhat, Niranjan Pedanekar, Shirish Karande:
What BERTs and GPTs know about your brand? Probing contextual language models for affect associations. DeeLIO@NAACL-HLT 2021: 119-128 - [c53]Bhagyashree Gaikwad, Ankita Sontakke, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande:
Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data. ICCVW 2021: 3198-3207 - [c52]Kunal Pagarey, Kanika Kalra, Abhay Garg, Saumajit Saha, Mayur Patidar, Shirish Karande:
Stylistic MR-to-Text Generation Using Pre-trained Language Models. ICON 2021: 93-99 - [c51]Saumajit Saha, Kanika Kalra, Manasi Patwardhan, Shirish Karande:
Performance of BERT on Persuasion for Good. ICON 2021: 313-323 - [c50]Harini S, Jayita Dutta, Manasi Patwardhan, Parijat Deshpande, Shirish Karande, Beena Rai:
A Generic Few-Shot Solution for Food Shelf-Life Prediction using Meta-Learning. AIxFood @ ACM Multimedia 2021: 13-17 - 2020
- [c49]Kanika Kalra, Bhargav Kurma, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan, Shirish Karande:
Understanding Advertisements with BERT. ACL 2020: 7542-7547 - [c48]Nikhil Jaiswal, Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig:
Improving NMT via Filtered Back Translation. WAT@AAC/IJCNLPL 2020: 154-159 - [c47]Stephen Pilli, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande:
Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. CVPR Workshops 2020: 1640-1648 - [c46]Yashaswi Rauthan, Vatsala Singh, Rishabh Agrawal, Satej Kadlay, Niranjan Pedanekar, Shirish Karande, Manasi Malik, Iaphi Tariang:
Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs. AI4TV@MM 2020: 31-36 - 2019
- [c45]Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal, Lovekesh Vig, Gautam Shroff:
From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training. DeepLo@EMNLP-IJCNLP 2019: 115-123 - 2018
- [c44]Ameya Panse, Tushar Madheshia, Anand Sriraman, Shirish Karande:
Imitation Learning on Atari using Non-Expert Human Annotations. HCOMP (WIP&Demo) 2018 - [c43]Manasi Patwardhan, Richa Sharma, Abhishek Sainani, Shirish Karande, Smita Ghaisas:
Moving Disambiguation of Regulations from the Cathedral to the Bazaar. HCOMP (WIP&Demo) 2018 - [c42]Purushotam G. Radadia, Tushar Madhesia, Kanika Kalra, Anand Sriraman, Manasi Patwardhan, Shirish Karande:
On Localizing Keywords in Continuous Speech using Mismatched Crowd. HCOMP (WIP&Demo) 2018 - [c41]Manasi Patwardhan, Abhishek Sainani, Richa Sharma, Shirish Karande, Smita Ghaisas:
Towards automating disambiguation of regulations: using the wisdom of crowds. ASE 2018: 850-855 - 2017
- [c40]Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande:
Crowdsourcing for Chromosome Segmentation and Deep Classification. CVPR Workshops 2017: 786-793 - [c39]Kalpesh Patil, Mandar Kulkarni, Anand Sriraman, Shirish Karande:
Deep Learning Based Car Damage Classification. ICMLA 2017: 50-54 - [i6]Mandar Kulkarni, Shirish Karande:
Layer-wise training of deep networks using kernel similarity. CoRR abs/1703.07115 (2017) - [i5]Mandar Kulkarni, Kalpesh Patil, Shirish Karande:
Knowledge distillation using unlabeled mismatched images. CoRR abs/1703.07131 (2017) - 2016
- [c38]Mandar Kulkarni, Shirish Subhash Karande, Sachin Lodha:
Unsupervised Word Clustering Using Deep Features. DAS 2016: 263-268 - [c37]Purushotam G. Radadia, Rahul Kumar, Kanika Kalra, Shirish Karande, Sachin Lodha:
On Employing a Highly Mismatched Crowd for Speech Transcription. INTERSPEECH 2016: 3017-3021 - [i4]Purushotam G. Radadia, Shirish Karande:
Feasibility of Post-Editing Speech Transcriptions with a Mismatched Crowd. CoRR abs/1609.02043 (2016) - [i3]Anand Sriraman, Mandar Kulkarni, Rahul Kumar, Kanika Kalra, Purushotam G. Radadia, Shirish Karande:
Ashwin: Plug-and-Play System for Machine-Human Image Annotation. CoRR abs/1609.02271 (2016) - [i2]Yash Bhalgat, Mandar Kulkarni, Shirish Karande, Sachin Lodha:
Stamp processing with examplar features. CoRR abs/1609.05001 (2016) - 2015
- [c36]Sandhya Thaskani, Shirish Karande, Sachin Lodha:
Multi-view image inpainting with sparse representations. ICIP 2015: 1414-1418 - 2013
- [c34]Naman Gandhi, Vinit Gaikwad, Pratik Kasat, Nikita Garg, Abhay Doke, Varun Kumar, Shirish S. Karande, Vijayanand Banahatti, Niranjan Pedanekar:
PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks. APCHI 2013: 174-177 - [c33]Manish Shukla, Purushotam G. Radadia, Shirish Karande, Sachin Lodha:
On the real-time masking of the sound of credit cards using hot patching. CCS 2013: 1351-1354 - [c32]Srinivasan Iyengar, Shirish Karande, Sachin Lodha:
English to Hindi Translation Protocols for an Enterprise Crowd. HCOMP (Works in Progress / Demos) 2013
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