Shalini Ghosh

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 61

Top Topics

Speech Recognition

Incremental Learning

Dialogue System

Temporal Coherence

Top Venues

Publications

Yash Jain, David Chan, Pranav Dheram, Aparna Khare, Olabanji Shonibare, Venkatesh Ravichandran, Shalini Ghosh
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. CoRR (2024)
David M. Chan, Shalini Ghosh, Hitesh Tulsiani, Ariya Rastrow, Björn Hoffmeister
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition. ICASSP (2024)
David M. Chan, Shalini Ghosh, Hitesh Tulsiani, Ariya Rastrow, Björn Hoffmeister
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition. CoRR (2024)
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
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks. CoRR (2024)
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
Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. ICASSP (2024)
Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-Yi Lee, Ivan Bulyko
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. ICASSP (2024)
Yash Jain, David M. Chan, Pranav Dheram, Aparna Khare, Olabanji Shonibare, Venkatesh Ravichandran, Shalini Ghosh
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. LREC/COLING (2024)
Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-yi Lee, Ivan Bulyko
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. CoRR (2023)
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR (2023)
Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. ASRU (2023)
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
Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. ASRU (2023)
Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting. CoRR (2023)
Anirudh S. Sundar, Chao-Han Huck Yang, David M. Chan, Shalini Ghosh, Venkatesh Ravichandran, Phani Sankar Nidadavolu
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. CoRR (2023)
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
FLIRT: Feedback Loop In-context Red Teaming. CoRR (2023)
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. WACV (Workshops) (2023)
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
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. CoRR (2023)
David M. Chan, Shalini Ghosh, Ariya Rastrow, Björn Hoffmeister
Domain Adaptation with External Off-Policy Acoustic Catalogs for Scalable Contextual End-to-End Automated Speech Recognition. ICASSP (2023)
David M. Chan, Shalini Ghosh, Ariya Rastrow, Björn Hoffmeister
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition. CoRR (2023)
Anirudh S. Sundar, Gokce Keskin, Chander Chandak, I-Fan Chen, Pegah Ghahremani, Shalini Ghosh
Prune Then Distill: Dataset Distillation with Importance Sampling. ICASSP (2023)
Soumyajit Mitra, Swayambhu Nath Ray, Bharat Padi, Raghavendra Bilgi, Harish Arsikere, Shalini Ghosh, Ajay Srinivasamurthy, Sri Garimella
Unified Modeling of Multi-Domain Multi-Device ASR Systems. TSD (2023)
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. CoRR (2023)
David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister
Multi-Modal Pre-Training for Automated Speech Recognition. ICASSP (2022)
David M. Chan, Shalini Ghosh
Content-Context Factorized Representations for Automated Speech Recognition. INTERSPEECH (2022)
Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu
Disentangled Action Recognition with Knowledge Bases. NAACL-HLT (2022)
Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu
Disentangled Action Recognition with Knowledge Bases. CoRR (2022)
Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach
One-Stage Object Referring with Gaze Estimation. CVPR Workshops (2022)
Soumyajit Mitra, Swayambhu Nath Ray, Bharat Padi, Arunasish Sen, Raghavendra Bilgi, Harish Arsikere, Shalini Ghosh, Ajay Srinivasamurthy, Sri Garimella
Unified Modeling of Multi-Domain Multi-Device ASR Systems. CoRR (2022)
David M. Chan, Shalini Ghosh
Content-Context Factorized Representations for Automated Speech Recognition. CoRR (2022)
Palash Goyal, Divya Choudhary, Shalini Ghosh
Hierarchical Class-Based Curriculum Loss. IJCAI (2021)
David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister
Multi-Modal Pre-Training for Automated Speech Recognition. CoRR (2021)
Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
Cross-modal Learning for Multi-modal Video Categorization. CoRR (2020)
Shalini Ghosh
Multimodal Machine Learning for Video and Image Analysis. KDD (2020)
Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo
Class-incremental Learning via Deep Model Consolidation. WACV (2020)
Palash Goyal, Shalini Ghosh
Hierarchical Class-Based Curriculum Loss. CoRR (2020)
Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
Regularize, Expand and Compress: NonExpansive Continual Learning. WACV (2020)
Heedo Kang, Vinod Yegneswaran, Shalini Ghosh, Phillip A. Porras, Seungwon Shin
Automated Permission Model Generation for Securing SDN Control-Plane. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
Exploiting Temporal Coherence for Multi-modal Video Categorization. CoRR (2020)
Saurabh Sahu, Palash Goyal, Shalini Ghosh, Chul Lee
Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models. ACM Multimedia (2020)
Shalini Ghosh, Giedrius Burachas, Arijit Ray, Avi Ziskind
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention. CoRR (2019)
Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck
Efficient Incremental Learning for Mobile Object Detection. CoRR (2019)
Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. CoRR (2019)
Ramprasaath Ramasamy Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry P. Heck, Dhruv Batra, Devi Parikh
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. ICCV (2019)
Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo
Class-incremental Learning via Deep Model Consolidation. CoRR (2019)
Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo
Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation. CoRR (2019)
Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck
RILOD: near real-time incremental learning for object detection at the edge. SEC (2019)
Anh T. Pham, Shalini Ghosh, Vinod Yegneswaran
Data Masking with Privacy Guarantees. CoRR (2019)
Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo
Generative Visual Dialogue System via Weighted Likelihood Estimation. IJCAI (2019)
Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR (2019)
Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds. CoRR (2018)
Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee
Time Series Deinterleaving of DNS Traffic. CoRR (2018)
Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee
Time Series Deinterleaving of DNS Traffic. IEEE Symposium on Security and Privacy Workshops (2018)
Shalini Ghosh, Susmit Jha, Ashish Tiwari, Patrick Lincoln, Xiaojin Zhu
Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes. DSN Workshops (2018)
Heedo Kang, Seungwon Shin, Vinod Yegneswaran, Shalini Ghosh, Phillip A. Porras
AEGIS: An Automated Permission Generation and Verification System for SDNs. SecSoN@SIGCOMM (2018)
Shalini Ghosh, Amaury Mercier, Dheeraj Pichapati, Susmit Jha, Vinod Yegneswaran, Patrick Lincoln
Trusted Neural Networks for Safety-Constrained Autonomous Control. CoRR (2018)
Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds. ECML/PKDD (2) (2018)
Shalini Ghosh, Patrick Lincoln, Ashish Tiwari, Xiaojin Zhu
Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. AAAI Workshops (2017)
Shalini Ghosh, Phillip A. Porras, Vinod Yegneswaran, Ken Nitz, Ariyam Das
ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem. AAAI Workshops (2017)
Shalini Ghosh, Ariyam Das, Phillip A. Porras, Vinod Yegneswaran, Ashish Gehani
Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem. KDD (2017)
Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, Larry P. Heck
Contextual LSTM (CLSTM) models for Large scale NLP tasks. CoRR (2016)
Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner
ARSENAL: Automatic Requirements Specification Extraction from Natural Language. NFM (2016)
Hongyu Gao, Vinod Yegneswaran, Jian Jiang, Yan Chen, Phillip A. Porras, Shalini Ghosh, Hai-Xin Duan
Reexamining DNS From a Global Recursive Resolver Perspective. IEEE/ACM Trans. Netw. 24 (1) (2016)
Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner
Automatically Extracting Requirements Specifications from Natural Language. CoRR (2014)
Shalini Ghosh, Patrick Lincoln, Christian Petersen, Alfonso Valdes
Virus Detection in Multiplexed Nanowire Arrays using Hidden Semi-Markov models. CoRR (2014)
Hongyu Gao, Vinod Yegneswaran, Yan Chen, Phillip A. Porras, Shalini Ghosh, Jian Jiang, Hai-Xin Duan
An empirical reexamination of global DNS behavior. SIGCOMM (2013)
Shalini Ghosh, Wilfried Steiner, Grit Denker, Patrick Lincoln
Probabilistic Modeling of Failure Dependencies Using Markov Logic Networks. PRDC (2013)
Tivadar Papai, Shalini Ghosh, Henry A. Kautz
Combining Subjective Probabilities and Data in Training Markov Logic Networks. ECML/PKDD (1) (2012)
Shalini Ghosh, Sugato Basu, Nur A. Touba
Selecting Error Correcting Codes to Minimize Power in Memory Checker Circuits. J. Low Power Electron. 1 (1) (2005)
Shalini Ghosh, F. Joel Ferguson
Detection probabilities of interconnect breaks: an analysis. Integr. 38 (3) (2005)
Shalini Ghosh, Sugato Basu, Nur A. Touba
Synthesis of Low Power CED Circuits Based on Parity Codes. VTS (2005)
Shalini Ghosh, Eric MacDonald, Sugato Basu, Nur A. Touba
Low-power weighted pseudo-random BIST using special scan cells. ACM Great Lakes Symposium on VLSI (2004)
Shalini Ghosh, Nur A. Touba, Sugato Basu
Reducing Power Consumption in Memory ECC Checkers. ITC (2004)
Shalini Ghosh, F. Joel Ferguson
Estimating detection probability of interconnect opens using stuck-at tests. ACM Great Lakes Symposium on VLSI (2004)
Shalini Ghosh, Sugato Basu, Nur A. Touba
Joint Minimization of Power and Area in Scan Testing by Scan Cell Reordering. ISVLSI (2003)