Shalini Ghosh

According to our database, Shalini Ghosh authored at least 59 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition.

Yash Jain, David Chan, Pranav Dheram, Aparna Khare, Olabanji Shonibare, Venkatesh Ravichandran, Shalini Ghosh

CoRR, 2024

Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks.

Kevin Everson, Yile Gu, Chao-Han Huck Yang, Prashanth Gurunath Shivakumar, Guan-Ting Lin, Jari Kolehmainen, Ivan Bulyko, Ankur Gandhe, Shalini Ghosh, Wael Hamza, Hung-yi Lee, Ariya Rastrow, Andreas Stolcke

CoRR, 2024

Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition.

David M. Chan, Shalini Ghosh, Hitesh Tulsiani, Ariya Rastrow, Björn Hoffmeister

CoRR, 2024

2023

Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue.

Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-yi Lee, Ivan Bulyko

CoRR, 2023

Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification.

Anirudh S. Sundar, Chao-Han Huck Yang, David M. Chan, Shalini Ghosh, Venkatesh Ravichandran, Phani Sankar Nidadavolu

CoRR, 2023

JAB: Joint Adversarial Prompting and Belief Augmentation.

Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

CoRR, 2023

FLIRT: Feedback Loop In-context Red Teaming.

Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

CoRR, 2023

Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition.

David M. Chan, Shalini Ghosh, Ariya Rastrow, Björn Hoffmeister

CoRR, 2023

Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data.

Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Unified Modeling of Multi-Domain Multi-Device ASR Systems.

Soumyajit Mitra, Swayambhu Nath Ray, Bharat Padi, Raghavendra Bilgi, Harish Arsikere, Shalini Ghosh, Ajay Srinivasamurthy, Sri Garimella

Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

Prune Then Distill: Dataset Distillation with Importance Sampling.

Anirudh S. Sundar, Gokce Keskin, Chander Chandak, I-Fan Chen, Pegah Ghahremani, Shalini Ghosh

Proceedings of the IEEE International Conference on Acoustics, 2023

Domain Adaptation with External Off-Policy Acoustic Catalogs for Scalable Contextual End-to-End Automated Speech Recognition.

David M. Chan, Shalini Ghosh, Ariya Rastrow, Björn Hoffmeister

Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition.

Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen, Prashanth Gurunath Shivakumar, Yile Gu, Sungho Ryu, Roger Ren, Qi Luo, Aditya Gourav, I-Fan Chen, Yi-Chieh Liu, Tuan Dinh, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastrow, Ivan Bulyko

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting.

Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Disentangled Action Recognition with Knowledge Bases.

Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Content-Context Factorized Representations for Automated Speech Recognition.

David M. Chan, Shalini Ghosh

Proceedings of the Interspeech 2022, 2022

Multi-Modal Pre-Training for Automated Speech Recognition.

David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister

Proceedings of the IEEE International Conference on Acoustics, 2022

One-Stage Object Referring with Gaze Estimation.

Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Hierarchical Class-Based Curriculum Loss.

Palash Goyal, Divya Choudhary, Shalini Ghosh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Automated Permission Model Generation for Securing SDN Control-Plane.

Heedo Kang, Vinod Yegneswaran, Shalini Ghosh, Phillip A. Porras, Seungwon Shin

IEEE Trans. Inf. Forensics Secur., 2020

Hierarchical Class-Based Curriculum Loss.

Palash Goyal, Shalini Ghosh

CoRR, 2020

Cross-modal Learning for Multi-modal Video Categorization.

Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee

CoRR, 2020

Exploiting Temporal Coherence for Multi-modal Video Categorization.

Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee

CoRR, 2020

Regularize, Expand and Compress: NonExpansive Continual Learning.

Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Class-incremental Learning via Deep Model Consolidation.

Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models.

Saurabh Sahu, Palash Goyal, Shalini Ghosh, Chul Lee

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multimodal Machine Learning for Video and Image Analysis.

Shalini Ghosh

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Efficient Incremental Learning for Mobile Object Detection.

Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck

CoRR, 2019

Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML.

Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang

CoRR, 2019

Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation.

Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo

CoRR, 2019

Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention.

Shalini Ghosh, Giedrius Burachas, Arijit Ray, Avi Ziskind

CoRR, 2019

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression.

Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang

CoRR, 2019

Data Masking with Privacy Guarantees.

Anh T. Pham, Shalini Ghosh, Vinod Yegneswaran

CoRR, 2019

Generative Visual Dialogue System via Weighted Likelihood Estimation.

Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded.

Ramprasaath Ramasamy Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry P. Heck, Dhruv Batra, Devi Parikh

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

RILOD: near real-time incremental learning for object detection at the edge.

Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018

Trusted Neural Networks for Safety-Constrained Autonomous Control.

Shalini Ghosh, Amaury Mercier, Dheeraj Pichapati, Susmit Jha, Vinod Yegneswaran, Patrick Lincoln

CoRR, 2018

Time Series Deinterleaving of DNS Traffic.

Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

AEGIS: An Automated Permission Generation and Verification System for SDNs.

Heedo Kang, Seungwon Shin, Vinod Yegneswaran, Shalini Ghosh, Phillip A. Porras

Proceedings of the 2018 Workshop on Security in Softwarized Networks: Prospects and Challenges, 2018

A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds.

Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes.

Shalini Ghosh, Susmit Jha, Ashish Tiwari, Patrick Lincoln, Xiaojin Zhu

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

2017

Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem.

Shalini Ghosh, Ariyam Das, Phillip A. Porras, Vinod Yegneswaran, Ashish Gehani

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem.

Shalini Ghosh, Phillip A. Porras, Vinod Yegneswaran, Ken Nitz, Ariyam Das

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models.

Shalini Ghosh, Patrick Lincoln, Ashish Tiwari, Xiaojin Zhu

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Reexamining DNS From a Global Recursive Resolver Perspective.

Hongyu Gao, Vinod Yegneswaran, Jian Jiang, Yan Chen, Phillip A. Porras, Shalini Ghosh, Hai-Xin Duan

IEEE/ACM Trans. Netw., 2016

Contextual LSTM (CLSTM) models for Large scale NLP tasks.

Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, Larry P. Heck

CoRR, 2016

ARSENAL: Automatic Requirements Specification Extraction from Natural Language.

Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner

Proceedings of the NASA Formal Methods - 8th International Symposium, 2016

2014

Virus Detection in Multiplexed Nanowire Arrays using Hidden Semi-Markov models.

Shalini Ghosh, Patrick Lincoln, Christian Petersen, Alfonso Valdes

CoRR, 2014

Automatically Extracting Requirements Specifications from Natural Language.

Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner

CoRR, 2014

2013

An empirical reexamination of global DNS behavior.

Hongyu Gao, Vinod Yegneswaran, Yan Chen, Phillip A. Porras, Shalini Ghosh, Jian Jiang, Hai-Xin Duan

Proceedings of the ACM SIGCOMM 2013 Conference, 2013

Probabilistic Modeling of Failure Dependencies Using Markov Logic Networks.

Shalini Ghosh, Wilfried Steiner, Grit Denker, Patrick Lincoln

Proceedings of the IEEE 19th Pacific Rim International Symposium on Dependable Computing, 2013

2012

Combining Subjective Probabilities and Data in Training Markov Logic Networks.

Tivadar Papai, Shalini Ghosh, Henry A. Kautz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2005

Selecting Error Correcting Codes to Minimize Power in Memory Checker Circuits.

Shalini Ghosh, Sugato Basu, Nur A. Touba

J. Low Power Electron., 2005

Detection probabilities of interconnect breaks: an analysis.

Shalini Ghosh, F. Joel Ferguson

Integr., 2005

Synthesis of Low Power CED Circuits Based on Parity Codes.

Shalini Ghosh, Sugato Basu, Nur A. Touba

Proceedings of the 23rd IEEE VLSI Test Symposium (VTS 2005), 2005

2004

Reducing Power Consumption in Memory ECC Checkers.

Shalini Ghosh, Nur A. Touba, Sugato Basu

Proceedings of the Proceedings 2004 International Test Conference (ITC 2004), 2004

Low-power weighted pseudo-random BIST using special scan cells.

Shalini Ghosh, Eric W. MacDonald, Sugato Basu, Nur A. Touba

Proceedings of the 14th ACM Great Lakes Symposium on VLSI 2004, 2004

Estimating detection probability of interconnect opens using stuck-at tests.

Shalini Ghosh, F. Joel Ferguson

Proceedings of the 14th ACM Great Lakes Symposium on VLSI 2004, 2004

2003

Joint Minimization of Power and Area in Scan Testing by Scan Cell Reordering.

Shalini Ghosh, Sugato Basu, Nur A. Touba

Proceedings of the 2003 IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2003), 2003