Rahul Gupta

Orcid: 0000-0002-9277-3718

Affiliations:
  • Amazon.com
  • University of Southern California, Signal Analysis and Interpretation Lab, SAIL, Department of Electrical Engineering, Los Angeles, CA, USA
  • Indian Institute of Technology, Department of electrical engineering, Kharagpur, India (former)


According to our database1, Rahul Gupta authored at least 87 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Partial Federated Learning.
CoRR, 2024

2023
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity.
CoRR, 2023

JAB: Joint Adversarial Prompting and Belief Augmentation.
CoRR, 2023

On the steerability of large language models toward data-driven personas.
CoRR, 2023

FLIRT: Feedback Loop In-context Red Teaming.
CoRR, 2023

Privacy in the Time of Language Models.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Incorporating Fairness in Large Scale NLU Systems.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

FedMultimodal: A Benchmark for Multimodal Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Self-Healing Through Error Detection, Attribution, and Retraining.
Proceedings of the IEEE International Conference on Acoustics, 2023

Quantifying Catastrophic Forgetting in Continual Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Evaluating Large Language Models on Controlled Generation Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Faithful Model Evaluation for Model-Based Metrics.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Coordinated Replay Sample Selection for Continual Federated Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Multi-VALUE: A Framework for Cross-Dialectal English NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Resolving Ambiguities in Text-to-Image Generative Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Modeling Feature Representations for Affective Speech Using Generative Adversarial Networks.
IEEE Trans. Affect. Comput., 2022

Joint Multi-Dimensional Model for Global and Time-Series Annotations.
IEEE Trans. Affect. Comput., 2022

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models.
CoRR, 2022

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.
CoRR, 2022

Differentially Private Decoding in Large Language Models.
CoRR, 2022

An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Federated Learning with Noisy User Feedback.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Training Mixed-Domain Translation Models via Federated Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Controlled Data Generation via Insertion Operations for NLU.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances.
Proceedings of the IEEE International Conference on Acoustics, 2022

Learnings from Federated Learning in The Real World.
Proceedings of the IEEE International Conference on Acoustics, 2022

An Efficient DP-SGD Mechanism for Large Scale NLU Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Canary Extraction in Natural Language Understanding Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Measuring Fairness of Text Classifiers via Prediction Sensitivity.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
An Efficient DP-SGD Mechanism for Large Scale NLP Models.
CoRR, 2021

Protoda: Efficient Transfer Learning for Few-Shot Intent Classification.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Towards Realistic Single-Task Continuous Learning Research for NER.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ADePT: Auto-encoder based Differentially Private Text Transformation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Automatic Discovery of Novel Intents & Domains from Text Utterances.
CoRR, 2020

Towards classification parity across cohorts.
CoRR, 2020

Design Considerations for Hypothesis Rejection Modules in Spoken Language Understanding Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks.
Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019
One-vs-All Models for Asynchronous Training: An Empirical Analysis.
Proceedings of the Interspeech 2019, 2019

On Evaluating CNN Representations for Low Resource Medical Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Modeling Multiple Time Series Annotations as Noisy Distortions of the Ground Truth: An Expectation-Maximization Approach.
IEEE Trans. Affect. Comput., 2018

A Re-Ranker Scheme For Integrating Large Scale NLU Models.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks.
Proceedings of the Interspeech 2018, 2018

Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Adversarial Auto-Encoders for Speech Based Emotion Recognition.
Proceedings of the Interspeech 2017, 2017

Transfer Learning Between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction.
Proceedings of the Interspeech 2017, 2017

An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks.
Proceedings of the Interspeech 2017, 2017

A knowledge transfer and boosting approach to the prediction of affect in movies.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multimodal detection of fake social media use through a fusion of classification and pairwise ranking systems.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Analysis of engagement behavior in children during dyadic interactions using prosodic cues.
Comput. Speech Lang., 2016

Detecting paralinguistic events in audio stream using context in features and probabilistic decisions.
Comput. Speech Lang., 2016

Inferring object rankings based on noisy pairwise comparisons from multiple annotators.
CoRR, 2016

Online Affect Tracking with Multimodal Kalman Filters.
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators.
Proceedings of the Interspeech 2016, 2016

Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment.
Proceedings of the Interspeech 2016, 2016

Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues.
Proceedings of the Interspeech 2016, 2016

Predicting Affective Dimensions Based on Self Assessed Depression Severity.
Proceedings of the Interspeech 2016, 2016

Automatic Estimation of Perceived Sincerity from Spoken Language.
Proceedings of the Interspeech 2016, 2016

Acoustic-Prosodic and Turn-Taking Features in Interactions with Children with Neurodevelopmental Disorders.
Proceedings of the Interspeech 2016, 2016

Pathological speech processing: State-of-the-art, current challenges, and future directions.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Predicting Affect in Music Using Regression Methods on Low Level Features.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Retrieving Social Images using Relevance Filtering and Diverse Selection.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Automatic estimation of parkinson's disease severity from diverse speech tasks.
Proceedings of the INTERSPEECH 2015, 2015

Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations.
Proceedings of the INTERSPEECH 2015, 2015

Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales.
Proceedings of the INTERSPEECH 2015, 2015

A mixture of experts approach towards intelligibility classification of pathological speech.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A language-based generative model framework for behavioral analysis of couples' therapy.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Affect prediction in music using boosted ensemble of filters.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions.
Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, 2014

Affective Feature Design and Predicting Continuous Affective Dimensions from Music.
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

Predicting client's inclination towards target behavior change in motivational interviewing and investigating the role of laughter.
Proceedings of the INTERSPEECH 2014, 2014

Variable Span disfluency detection in ASR transcripts.
Proceedings of the INTERSPEECH 2014, 2014

Training ensemble of diverse classifiers on feature subsets.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Paralinguistic event detection from speech using probabilistic time-series smoothing and masking.
Proceedings of the INTERSPEECH 2013, 2013

2012
Acoustical analysis of engagement behavior in children.
Proceedings of the Third Workshop on Child, Computer and Interaction, 2012

Classification of emotional content of sighs in dyadic human interactions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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