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2020 – today
- 2024
[c41]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: 11969-11980- [c40]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. EMNLP 2024: 703-718 - [c39]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. ICASSP Workshops 2024: 655-659 - [c38]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: 10316-10320 - [c37]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: 11806-11810 - [c36]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: 12856-12860 - [c35]Hitesh Tulsiani, David M. Chan, Shalini Ghosh, Garima Lalwani, Prabhat Pandey, Ankish Bansal, Sri Garimella, Ariya Rastrow, Björn Hoffmeister:
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems. ICML 2024 - [i31]David M. Chan, Shalini Ghosh, Hitesh Tulsiani, Ariya Rastrow, Björn Hoffmeister:
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition. CoRR abs/2401.02417 (2024) - [i30]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 abs/2401.02921 (2024) - [i29]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 abs/2403.19822 (2024) - [i28]Hitesh Tulsiani, David M. Chan, Shalini Ghosh, Garima Lalwani, Prabhat Pandey, Ankish Bansal, Sri Garimella, Ariya Rastrow, Björn Hoffmeister:
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems. CoRR abs/2409.10515 (2024) - 2023
- [c34]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: 1-8 - [c33]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: 1-8 - [c32]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: 1-5 - [c31]Anirudh S. Sundar, Gokce Keskin, Chander Chandak, I-Fan Chen, Pegah Ghahremani, Shalini Ghosh:
Prune Then Distill: Dataset Distillation with Importance Sampling. ICASSP 2023: 1-5 - [c30]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: 283-292 - [c29]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: 390-400 - [i27]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 abs/2301.02736 (2023) - [i26]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 abs/2304.02080 (2023) - [i25]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 abs/2308.04265 (2023) - [i24]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 abs/2309.15223 (2023) - [i23]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 abs/2309.15649 (2023) - [i22]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 abs/2311.09473 (2023) - [i21]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 abs/2312.14378 (2023) - [i20]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 abs/2312.15316 (2023) - 2022
- [c28]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: 5017-5026 - [c27]David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister:
Multi-Modal Pre-Training for Automated Speech Recognition. ICASSP 2022: 246-250 - [c26]David M. Chan, Shalini Ghosh:
Content-Context Factorized Representations for Automated Speech Recognition. INTERSPEECH 2022: 61-65 - [c25]Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. NAACL-HLT 2022: 559-572 - [i19]David M. Chan, Shalini Ghosh:
Content-Context Factorized Representations for Automated Speech Recognition. CoRR abs/2205.09872 (2022) - [i18]Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. CoRR abs/2207.01708 (2022) - 2021
- [c24]Palash Goyal, Divya Choudhary, Shalini Ghosh:
Hierarchical Class-Based Curriculum Loss. IJCAI 2021: 2448-2454 - [i17]David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister:
Multi-Modal Pre-Training for Automated Speech Recognition. CoRR abs/2110.09890 (2021) - 2020
- [j4]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: 1668-1682 (2020) - [c23]Shalini Ghosh:
Multimodal Machine Learning for Video and Image Analysis. KDD 2020: 3608 - [c22]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: 313-321 - [c21]Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang:
Regularize, Expand and Compress: NonExpansive Continual Learning. WACV 2020: 843-851 - [c20]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: 1120-1129 - [i16]Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee:
Exploiting Temporal Coherence for Multi-modal Video Categorization. CoRR abs/2002.03844 (2020) - [i15]Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee:
Cross-modal Learning for Multi-modal Video Categorization. CoRR abs/2003.03501 (2020) - [i14]Palash Goyal, Shalini Ghosh:
Hierarchical Class-Based Curriculum Loss. CoRR abs/2006.03629 (2020)
2010 – 2019
- 2019
- [c19]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: 113-126 - [c18]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: 2591-2600 - [c17]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: 1025-1031 - [i13]Anh T. Pham, Shalini Ghosh, Vinod Yegneswaran:
Data Masking with Privacy Guarantees. CoRR abs/1901.02185 (2019) - [i12]Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang:
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR abs/1902.00918 (2019) - [i11]Shalini Ghosh, Giedrius Burachas, Arijit Ray, Avi Ziskind:
Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention. CoRR abs/1902.05715 (2019) - [i10]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 abs/1902.09818 (2019) - [i9]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 abs/1903.07864 (2019) - [i8]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 abs/1903.08362 (2019) - [i7]Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck:
Efficient Incremental Learning for Mobile Object Detection. CoRR abs/1904.00781 (2019) - 2018
- [c16]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: 194-199 - [c15]Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh:
A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds. ECML/PKDD (2) 2018: 843-860 - [c14]Heedo Kang, Seungwon Shin, Vinod Yegneswaran, Shalini Ghosh, Phillip A. Porras:
AEGIS: An Automated Permission Generation and Verification System for SDNs. SecSoN@SIGCOMM 2018: 20-26 - [c13]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: 103-108 - [i6]Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh:
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds. CoRR abs/1804.10834 (2018) - [i5]Shalini Ghosh, Amaury Mercier, Dheeraj Pichapati, Susmit Jha, Vinod Yegneswaran, Patrick Lincoln:
Trusted Neural Networks for Safety-Constrained Autonomous Control. CoRR abs/1805.07075 (2018) - [i4]Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee:
Time Series Deinterleaving of DNS Traffic. CoRR abs/1807.05650 (2018) - 2017
- [c12]Shalini Ghosh, Patrick Lincoln, Ashish Tiwari, Xiaojin Zhu:
Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. AAAI Workshops 2017 - [c11]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 - [c10]Shalini Ghosh, Ariyam Das, Phillip A. Porras, Vinod Yegneswaran, Ashish Gehani:
Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem. KDD 2017: 1793-1802 - 2016
- [j3]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): 43-57 (2016) - [c9]Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner:
ARSENAL: Automatic Requirements Specification Extraction from Natural Language. NFM 2016: 41-46 - [i3]Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, Larry P. Heck:
Contextual LSTM (CLSTM) models for Large scale NLP tasks. CoRR abs/1602.06291 (2016) - 2014
- [i2]Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner:
Automatically Extracting Requirements Specifications from Natural Language. CoRR abs/1403.3142 (2014) - [i1]Shalini Ghosh, Patrick Lincoln, Christian Petersen, Alfonso Valdes:
Virus Detection in Multiplexed Nanowire Arrays using Hidden Semi-Markov models. CoRR abs/1407.4490 (2014) - 2013
- [c8]Shalini Ghosh, Wilfried Steiner, Grit Denker, Patrick Lincoln:
Probabilistic Modeling of Failure Dependencies Using Markov Logic Networks. PRDC 2013: 162-171 - [c7]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: 267-278 - 2012
- [c6]Tivadar Papai, Shalini Ghosh, Henry A. Kautz:
Combining Subjective Probabilities and Data in Training Markov Logic Networks. ECML/PKDD (1) 2012: 90-105
2000 – 2009
- 2005
- [j2]Shalini Ghosh, F. Joel Ferguson:
Detection probabilities of interconnect breaks: an analysis. Integr. 38(3): 451-465 (2005) - [j1]Shalini Ghosh, Sugato Basu, Nur A. Touba:
Selecting Error Correcting Codes to Minimize Power in Memory Checker Circuits. J. Low Power Electron. 1(1): 63-72 (2005) - [c5]Shalini Ghosh, Sugato Basu, Nur A. Touba:
Synthesis of Low Power CED Circuits Based on Parity Codes. VTS 2005: 315-320 - 2004
- [c4]Shalini Ghosh, Eric W. MacDonald, Sugato Basu, Nur A. Touba:
Low-power weighted pseudo-random BIST using special scan cells. ACM Great Lakes Symposium on VLSI 2004: 86-91 - [c3]Shalini Ghosh, F. Joel Ferguson:
Estimating detection probability of interconnect opens using stuck-at tests. ACM Great Lakes Symposium on VLSI 2004: 254-259 - [c2]Shalini Ghosh, Nur A. Touba, Sugato Basu:
Reducing Power Consumption in Memory ECC Checkers. ITC 2004: 1322-1331 - 2003
- [c1]Shalini Ghosh, Sugato Basu, Nur A. Touba:
Joint Minimization of Power and Area in Scan Testing by Scan Cell Reordering. ISVLSI 2003: 246-249
Coauthor Index
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