Gaurav Pandey

Affiliations:
  • IBM Research AI, New Delhi, India
  • Indian Institute of Science, Department of Computer Science and Automation, India (former)


According to our database1, Gaurav Pandey authored at least 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
CoRR, 2024

2022
Variational Learning for Unsupervised Knowledge Grounded Dialogs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions.
CoRR, 2020

Agent Assist through Conversation Analysis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Unsupervised Learning of Interpretable Dialog Models.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Mask & Focus: Conversation Modelling by Learning Concepts.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning to Segment With Image-Level Supervision.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018
Exemplar Encoder-Decoder for Neural Conversation Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Discriminative Neural Topic Models.
CoRR, 2017

Variational methods for conditional multimodal deep learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Unsupervised Feature Learning with Discriminative Encoder.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes.
CoRR, 2016

On collapsed representation of hierarchical Completely Random Measures.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Hierarchical Completely Random Measures for Mixed Membership Modelling.
CoRR, 2015

2014
Learning by Stretching Deep Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

To go deep or wide in learning?
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Minimum description length principle for maximum entropy model selection.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Generative Maximum Entropy Learning for Multiclass Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification
CoRR, 2012


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