![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Shalini Ghosh
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c38]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 - [c37]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 - [c36]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 - [c35]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 - 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 - 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 - 2021
- [c24]Palash Goyal, Divya Choudhary, Shalini Ghosh:
Hierarchical Class-Based Curriculum Loss. IJCAI 2021: 2448-2454 - 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 - 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 - 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 - 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
- [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 - 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 - 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
Informal and Other Publications
- 2024
- [i30]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) - [i29]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) - [i28]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) - 2023
- [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
- [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
- [i17]David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister:
Multi-Modal Pre-Training for Automated Speech Recognition. CoRR abs/2110.09890 (2021) - 2020
- [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) - 2019
- [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
- [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) - 2016
- [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)
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-14 22:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint