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2020 – today
- 2024
[c95]Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri:
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. AAAI 2024: 21-29- [c94]Muskan Gupta
, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff:
SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. SIGIR 2024: 2609-2613 - [i71]Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff:
Acceleron: A Tool to Accelerate Research Ideation. CoRR abs/2403.04382 (2024) - [i70]Shubham Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig:
CustomText: Customized Textual Image Generation using Diffusion Models. CoRR abs/2405.12531 (2024) - [i69]Arushi Jain, Shubham Paliwal, Monika Sharma, Vikram Jamwal, Lovekesh Vig:
Multi-Subject Personalization. CoRR abs/2405.12742 (2024) - [i68]Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig, Gautam Shroff:
SmartFlow: Robotic Process Automation using LLMs. CoRR abs/2405.12842 (2024) - [i67]Pushpdeep Singh, Mayur Patidar, Lovekesh Vig:
Translating Across Cultures: LLMs for Intralingual Cultural Adaptation. CoRR abs/2406.14504 (2024) - 2023
- [c93]Mayur Patidar, Prayushi Faldu, Avinash Kumar Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam:
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. ACL (1) 2023: 10341-10357 - [c92]Amit Sangroya, Suparshva Jain, C. Anantaram, Lovekesh Vig:
Conceptual Explanations of ECG Classification using Large Language Models. AIMLSystems 2023: 59:1-59:3 - [c91]Shabbirhussain Bhaisaheb, Shubham Paliwal, Rajaswa Patil, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff:
Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. EACL (Findings) 2023: 2456-2470 - [c90]Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff:
X4SR: Post-Hoc Explanations for Session-based Recommendations. eCom@SIGIR 2023 - [c89]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 - [c88]Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan:
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC 2023: 1-4 - [c87]Shubham Paliwal, Manasi Patwardhan, Lovekesh Vig:
Generalization of Fine Granular Extractions from Charts. ICDAR (2) 2023: 94-110 - [c86]Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan:
IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. ICIP 2023: 2400-2404 - [c85]Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig:
Can LLMs solve generative visual analogies? IARML@IJCAI 2023: 30-32 - [c84]Jyotsana Khatri, Vivek Srivastava, Lovekesh Vig:
Can You Translate for Me? Code-Switched Machine Translation with Large Language Models. IJCNLP (2) 2023: 83-92 - [c83]Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig:
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. WACV 2023: 1541-1549 - [i66]S. I Harini, Gautam Shroff, Ashwin Srinivasan, Prayushi Faldu, Lovekesh Vig:
Neuro-symbolic Meta Reinforcement Learning for Trading. CoRR abs/2302.08996 (2023) - [i65]Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan:
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR abs/2302.09833 (2023) - [i64]Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan:
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification. CoRR abs/2303.02310 (2023) - [i63]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) - [i62]Ankita Sontakke, Kanika Kalra, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Shrishti Pradhan:
Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language. CoRR abs/2303.09062 (2023) - [i61]Ritam Majumdar, Shirish Karande, Lovekesh Vig:
DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission. CoRR abs/2303.14194 (2023) - [i60]Krishnam Hasija, Shrishti Pradhan, Manasi Patwardhan, Raveendra Kumar Medicherla, Lovekesh Vig, Ravindra Naik:
Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation. CoRR abs/2304.13350 (2023) - [i59]Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff:
Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting. CoRR abs/2308.02582 (2023) - [i58]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana:
HyperLoRA for PDEs. CoRR abs/2308.09290 (2023) - [i57]Ritam Majumdar, Shirish Karande, Lovekesh Vig:
How important are specialized transforms in Neural Operators? CoRR abs/2308.09293 (2023) - [i56]Ritam Majumdar, Amey Varhade, Shirish S. Karande, Lovekesh Vig:
Can Physics Informed Neural Operators Self Improve? CoRR abs/2311.13885 (2023) - 2022
- [c82]Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash:
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). AAAI 2022: 13055-13056 - [c81]Manu Sheoran, Monika Sharma, Meghal Dani, Lovekesh Vig:
Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation. ACCV (Workshops) 2022: 102-116 - [c80]Amit Sangroya, Suparshva Jain, Lovekesh Vig, C. Anantaram, Arijit Ukil, Sundeep Khandelwal:
Generating Conceptual Explanations for DL based ECG Classification Model. FLAIRS 2022 - [c79]Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
An Efficient Anchor-Free Universal Lesion Detection in Ct-Scans. ISBI 2022: 1-4 - [c78]Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff:
Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. NAACL-HLT (Findings) 2022: 1113-1127 - [c77]Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff:
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. NAACL-HLT 2022: 1836-1853 - [c76]Atharv Sonwane, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig:
Neural Analogical Reasoning. NeSy 2022: 120-141 - [c75]Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan:
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy 2022: 142-154 - [c74]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 - [i55]Garima Gupta, Lovekesh Vig, Gautam Shroff:
DRTCI: Learning Disentangled Representations for Temporal Causal Inference. CoRR abs/2201.08137 (2022) - [i54]Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwar Subramanian, Sanjay Bhat:
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs. CoRR abs/2202.05517 (2022) - [i53]Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff:
Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression. CoRR abs/2202.12578 (2022) - [i52]Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. CoRR abs/2203.06852 (2022) - [i51]Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig:
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. CoRR abs/2203.06873 (2022) - [i50]Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. CoRR abs/2203.06886 (2022) - [i49]Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
An Efficient Anchor-free Universal Lesion Detection in CT-scans. CoRR abs/2203.16074 (2022) - [i48]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig:
On NeuroSymbolic Solutions for PDEs. CoRR abs/2207.06240 (2022) - [i47]Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan:
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR abs/2209.08750 (2022) - [i46]Vedant Shah, Aditya Agrawal, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Tanmay T. Verlekar:
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. CoRR abs/2211.16047 (2022) - [i45]Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig:
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. CoRR abs/2212.10005 (2022) - [i44]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) - [i43]Mayur Patidar, Avinash Kumar Singh, Prayushi Faldu, Lovekesh Vig, Indrajit Bhattacharya, Mausam:
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. CoRR abs/2212.10189 (2022) - 2021
- [j16]Kushal Veer Singh, Ajay Kumar Verma, Lovekesh Vig:
Deep learning based network similarity for model selection. Data Sci. 4(2): 63-83 (2021) - [j15]Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig:
Incorporating symbolic domain knowledge into graph neural networks. Mach. Learn. 110(7): 1609-1636 (2021) - [c73]Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. BMVC 2021: 413 - [c72]Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. CIKM 2021: 3048-3052 - [c71]Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig:
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. ESANN 2021 - [c70]Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig:
Data-Efficient Training of High-Resolution Images in Medical Domain. ESANN 2021 - [c69]Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. ICDM 2021: 161-170 - [c68]Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff:
BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. IJCNN 2021: 1-8 - [c67]Shubham Paliwal, Monika Sharma, Lovekesh Vig:
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. IJCNN 2021: 1-8 - [c66]Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy:
Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. ILP 2021: 78-94 - [c65]Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig:
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. PAKDD (Workshops) 2021: 168-180 - [i42]Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig:
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. CoRR abs/2109.03794 (2021) - [i41]Shubham Paliwal, Monika Sharma, Lovekesh Vig:
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. CoRR abs/2109.03849 (2021) - [i40]Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan:
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR abs/2110.09947 (2021) - [i39]Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig:
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation. CoRR abs/2111.00506 (2021) - [i38]Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash:
Solving Visual Analogies Using Neural Algorithmic Reasoning. CoRR abs/2111.10361 (2021) - 2020
- [j14]Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff:
Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks. J. Heal. Informatics Res. 4(2): 112-137 (2020) - [j13]Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff:
Constructing generative logical models for optimisation problems using domain knowledge. Mach. Learn. 109(7): 1371-1392 (2020) - [c64]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 - [c63]Amit Sangroya, Mouli Rastogi, C. Anantaram, Lovekesh Vig:
Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models. CIKM (Workshops) 2020 - [c62]Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV:
Meta-Learning for Few-Shot Time Series Classification. COMAD/CODS 2020: 28-36 - [c61]Nikita Goel, Monika Sharma, Lovekesh Vig:
Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime. CVPR Workshops 2020: 2369-2376 - [c60]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 - [c59]Kushagra Mahajan, Monika Sharma, Lovekesh Vig:
Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning. CVPR Workshops 2020: 3142-3151 - [c58]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. ESANN 2020: 25-30 - [c57]Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
CAMTA: Causal Attention Model for Multi-touch Attribution. ICDM (Workshops) 2020: 79-86 - [c56]Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas:
Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. IJCNN 2020: 1-8 - [c55]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
Hi-CI: Deep Causal Inference in High Dimensions. CD@KDD 2020: 39-61 - [c54]Himani Srivastava, Prerna Khurana, Saurabh Srivastava, Vaibhav Varshney, Lovekesh Vig, Puneet Agarwal, Gautam Shroff:
Improved Question Answering using Domain Prediction. Converse@KDD 2020 - [c53]Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff:
CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. TIA@MICCAI 2020: 61-73 - [c52]Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan:
A Case Study of Transfer of Lesion-Knowledge. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 138-145 - [i37]Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig:
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images. CoRR abs/2001.01469 (2020) - [i36]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. CoRR abs/2004.13446 (2020) - [i35]Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff:
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation. CoRR abs/2006.16556 (2020) - [i34]Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Handling Variable-Dimensional Time Series with Graph Neural Networks. CoRR abs/2007.00411 (2020) - [i33]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
Hi-CI: Deep Causal Inference in High Dimensions. CoRR abs/2008.09858 (2020) - [i32]Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig:
Incorporating Symbolic Domain Knowledge into Graph Neural Networks. CoRR abs/2010.13900 (2020) - [i31]Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. CoRR abs/2012.08984 (2020) - [i30]Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan:
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays. CoRR abs/2012.10787 (2020) - [i29]Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
CAMTA: Casual Attention Model for Multi-touch Attribution. CoRR abs/2012.11403 (2020)
2010 – 2019
- 2019
- [j12]Sucheta Chauhan, Lovekesh Vig, Shandar Ahmad:
ECG anomaly class identification using LSTM and error profile modeling. Comput. Biol. Medicine 109: 14-21 (2019) - [j11]Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi:
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images. Frontiers Neuroinformatics 13: 53 (2019) - [j10]Ashwin Srinivasan, Lovekesh Vig, Michael Bain:
Logical Explanations for Deep Relational Machines Using Relevance Information. J. Mach. Learn. Res. 20: 130:1-130:47 (2019) - [c51]Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. AAAI 2019: 10003-10004 - [c50]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 - [c49]Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff:
Fusing Features based on Signal Properties and TimeNet for Time Series Classification. ESANN 2019 - [c48]Kushagra Mahajan, Monika Sharma, Lovekesh Vig:
Character Keypoint-Based Homography Estimation in Scanned Documents for Efficient Information Extraction. CBDAR@ICDAR 2019: 25-30 - [c47]Shubham Singh Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig:
TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images. ICDAR 2019: 128-133 - [c46]Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig:
Automatic Information Extraction from Piping and Instrumentation Diagrams. ICPRAM 2019: 163-172 - [c45]Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. IJCNN 2019: 1-8 - [c44]Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig:
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. IJCNN 2019: 1-7 - [c43]Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig:
Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. IJCNN 2019: 1-8 - [c42]Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul:
One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. NeSy@IJCAI 2019 - [c41]Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff:
Meta-Learning for Black-Box Optimization. ECML/PKDD (2) 2019: 366-381 - [c40]Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. SIGIR 2019: 1069-1072 - [i28]Monika Sharma, Abhishek Verma, Lovekesh Vig:
Learning to Clean: A GAN Perspective. CoRR abs/1901.11382 (2019) - [i27]Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig:
Automatic Information Extraction from Piping and Instrumentation Diagrams. CoRR abs/1901.11383 (2019) - [i26]Vishnu TV, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models. CoRR abs/1903.09795 (2019) - [i25]Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff:
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks. CoRR abs/1904.00655 (2019) - [i24]Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. CoRR abs/1904.12546 (2019) - [i23]Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul:
One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. CoRR abs/1906.02427 (2019) - [i22]Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff:
Meta-Learning for Black-box Optimization. CoRR abs/1907.06901 (2019) - [i21]Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
NISER: Normalized Item and Session Representations with Graph Neural Networks. CoRR abs/1909.04276 (2019) - [i20]