Gautam Shroff
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
73
Venues
33
Active years
2006–2025
Best venue rank
A*
Where they publish
- CFUSION6 papers
- A*AAAI5 papers
- NationalCOMAD5 papers
- BESANN5 papers
- ACIKM4 papers
- A*ICDM4 papers
- BIJCNN4 papers
- AEACL3 papers
- CNeSy3 papers
- A*KDD3 papers
- BPAKDD3 papers
- A*SIGIR2 papers
- A*IJCAI2 papers
- BILP2 papers
- ANAACL2 papers
- BDSAA2 papers
- A*ICSE2 papers
- AWACV1 paper
- A*CVPR1 paper
- AMICCAI1 paper
- ARecSys1 paper
- AECIR1 paper
- BACCV1 paper
- A*ICDE1 paper
- A*MOBICOM1 paper
- BIJCNLP1 paper
- A*ISMAR1 paper
- CEUMAS1 paper
- BEDBT1 paper
- BBigData1 paper
- AICWSM1 paper
- Journal PublishedEICS1 paper
- CAPSEC1 paper
Papers
73 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC). | Kartik Singhal, Gautam Shroff |
| 2025 | AAAI | ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract). | Kartik Singhal, Gautam Shroff |
| 2024 | SIGIR | SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. | Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff |
| 2023 | EACL | Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. | Shabbirhussain Bhaisaheb, Shubham Paliwal, Rajaswa Patil, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff |
| 2023 | IJCAI | Can LLMs solve generative visual analogies? | Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig |
| 2023 | WACV | Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. | Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig |
| 2022 | AAAI | Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). | Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash |
| 2022 | ILP | A Program-Synthesis Challenge for ARC-Like Tasks. | Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff |
| 2022 | NAACL | Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering. | Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff |
| 2022 | NAACL | Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection. | Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff |
| 2022 | NeSy | Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. | Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan |
| 2022 | NeSy | Neural Analogical Reasoning. | Atharv Sonwane, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig |
| 2021 | CIKM | CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. | Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2021 | EACL | Complex Question Answering on knowledge graphs using machine translation and multi-task learning. | Saurabh Srivastava, Mayur Patidar, Sudip Chowdhury, Puneet Agarwal, Indrajit Bhattacharya, Gautam Shroff |
| 2021 | ICDM | Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. | Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2021 | IJCNN | BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. | Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff |
| 2020 | COMAD | Meta-Learning for Few-Shot Time Series Classification. | Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV |
| 2020 | CVPR | Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction. | Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan |
| 2020 | ESANN | MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. | Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | ICDM | CAMTA: Causal Attention Model for Multi-touch Attribution. | Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | IJCNN | Capsule Based Neural Network Architecture to perform completeness check for Patent Eligibility Process. | Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Vidya Vikas |
| 2020 | KDD | Hi-CI: Deep Causal Inference in High Dimensions. | Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | KDD | Improved Question Answering using Domain Prediction. | Himani Srivastava, Prerna Khurana, Saurabh Srivastava, Vaibhav Varshney, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2020 | MICCAI | CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. | Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff |
| 2020 | RecSys | Recommending in changing times. | Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta |
| 2019 | AAAI | Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. | Kaushal Paneri, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2019 | COMAD | Fast Online 'Next Best Offers' using Deep Learning. | Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari |
| 2019 | ECIR | Retrieving Relationships from a Knowledge Graph for Question Answering. | Puneet Agarwal, Maya Ramanath, Gautam Shroff |
| 2019 | ESANN | Fusing Features based on Signal Properties and TimeNet for Time Series Classification. | Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff |
| 2019 | IJCNN | ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. | Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2019 | IJCNN | Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. | Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig |
| 2019 | NeSy | One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. | Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul |
| 2019 | PAKDD | CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. | Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff |
| 2019 | PAKDD | Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning. | Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram |
| 2019 | SIGIR | Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. | Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2018 | AAAI | MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. | Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal |
| 2018 | ACCV | Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language. | Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan |
| 2018 | CIKM | Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models. | Mayur Patidar, Puneet Agarwal, Lovekesh Vig, Gautam Shroff |
| 2018 | COMAD | Online anomaly detection with concept drift adaptation using recurrent neural networks. | Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2018 | COMAD | Comparative benchmarking of causal discovery algorithms. | Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff |
| 2018 | ESANN | Evolutionary RL for Container Loading. | Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan |
| 2018 | ICDE | KNADIA: Enterprise KNowledge Assisted DIAlogue Systems Using Deep Learning. | Mahesh P. Singh, Puneet Agarwal, Ashish Chaudhary, Gautam Shroff, Prerna Khurana, Mayur Patidar, Vivek Bisht, Rachit Bansal, Prateek Sachan, Rohit Kumar |
| 2018 | IJCAI | Using Features From Pre-trained TimeNET For Clinical Predictions. | Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2018 | KDD | Resolving Abstract Anaphora Implicitly in Conversational Assistants using a Hierarchically stacked RNN. | Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig |
| 2018 | MOBICOM | MobiCom'18 Panel: Hammer & Nail vis-a-vis AI / ML Applications to Networked Systems. | Pravin Bhagwat, Andrea Goldsmith, Manish Gupta, Rajeev Rastogi, Gautam Shroff |
| 2017 | CIKM | Hybrid BiLSTM-Siamese network for FAQ Assistance. | Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan |
| 2017 | EACL | Learning and Knowledge Transfer with Memory Networks for Machine Comprehension. | Mohit Yadav, Lovekesh Vig, Gautam Shroff |
| 2017 | ESANN | TimeNet: Pre-trained deep recurrent neural network for time series classification. | Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff |
| 2017 | IJCNLP | Information Bottleneck Inspired Method For Chat Text Segmentation. | Sunder Vishal, Mohit Yadav, Lovekesh Vig, Gautam Shroff |
| 2017 | PAKDD | Automated Product-Attribute Mapping. | Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal |
| 2016 | FUSION | Visual Bayesian fusion to navigate a data lake. | Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff |
| 2016 | ICDM | Activity Detection from Email Meta-Data Clustering. | Mayur Patidar, Shaurya Rohatgi, Ashish Chaudhary, Mahesh P. Singh, Puneet Agarwal, Gautam Shroff |
| 2016 | ILP | Generation of Near-Optimal Solutions Using ILP-Guided Sampling. | Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia |
| 2016 | ISMAR | An AR Inspection Framework: Feasibility Study with Multiple AR Devices. | Ramakrishna Perla, Ehtesham Hassan, Ramya Hebbalaguppe, Monika Sharma, Gaurav Gupta, Lovekesh Vig, Geetika Sharma, Gautam Shroff |
| 2015 | CIKM | Distributed Algorithm for Relationship Queries on Large Graphs. | Puneet Agarwal, Maya Ramanath, Gautam Shroff |
| 2015 | DSAA | Succinctly summarizing machine usage via multi-subspace clustering of multi-sensor data. | Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan |
| 2015 | DSAA | Predictive reliability mining for early warnings in populations of connected machines. | Karamjit Singh, Gautam Shroff, Puneet Agarwal |
| 2015 | ESANN | Long Short Term Memory Networks for Anomaly Detection in Time Series. | Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Puneet Agarwal |
| 2015 | EUMAS | Group-Based Pricing to Shape Demand in Real-Time Electricity Markets. | Rahul Agrawal, Anirban Chakraborti, Karamjit Singh, Gautam Shroff, Venkatesh Sarangan |
| 2015 | FUSION | Business data fusion. | Surya Yadav, Gautam Shroff, Ehtesham Hassan, Puneet Agarwal |
| 2015 | ICDM | Multi-sensor Visual Analytics Supported by Machine-Learning Models. | Geetika Sharma, Gautam Shroff, Aditeya Pandey, Brijendra Singh, Gunjan Sehgal, Kaushal Paneri, Puneet Agarwal |
| 2014 | COMAD | Exploratory Data Analysis Using Alternating Covers of Rules and Exceptions. | Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan, Aditeya Pandey, Gaurangi Anand |
| 2014 | EDBT | Graph-Parallel Entity Resolution using LSH & IMM. | Pankaj Malhotra, Puneet Agarwal, Gautam Shroff |
| 2014 | FUSION | Incremental entity fusion from linked documents. | Pankaj Malhotra, Puneet Agarwal, Gautam Shroff |
| 2014 | FUSION | Prescriptive information fusion. | Gautam Shroff, Puneet Agarwal, Karamjit Singh, Auon Haidar Kazmi, Sapan Shah, Avadhut Sardeshmukh |
| 2013 | BigData | Approximate Incremental Big-Data Harmonization. | Puneet Agarwal, Gautam Shroff, Pankaj Malhotra |
| 2012 | ICWSM | Catching the Long-Tail: Extracting Local News Events from Twitter. | Puneet Agarwal, Rajgopal Vaithiyanathan, Saurabh Sharma, Gautam Shroff |
| 2011 | FUSION | Enterprise information fusion for real-time business intelligence. | Gautam Shroff, Puneet Agarwal, Lipika Dey |
| 2011 | FUSION | A blackboard architecture for data-intensive information fusion using locality-sensitive hashing. | Gautam Shroff, Saurabh Sharma, Puneet Agarwal, Shefali Bhat |
| 2010 | EICS | Mixed-focus collaboration without compromising individual or group work. | Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde |
| 2009 | ICSE | Distributed side-by-side programming. | Prasun Dewan, Puneet Agarwal, Gautam Shroff, Rajesh Hegde |
| 2009 | ICSE | InstantApps: A WYSIWYG model driven interpreter for web applications. | Gautam Shroff, Puneet Agarwal, Premkumar T. Devanbu |
| 2006 | APSEC | An Empirical Study of Factors and their Relationships in Outsourced Software Maintenance. | Pankaj Bhatt, Gautam Shroff, K. Williams, Arun Kumar Misra |