Shalini Ghosh - RankMe

80 papers A* 11A 4C 3Misc 8Journal 37Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction. ICML Shu-Wen Yang, Byeonggeun Kim, Kuan-Po Huang, Qingming Tang, Huy Phan, Bo-Ru Lu, Harshavardhan Sundar, Shalini Ghosh, Hung-yi Lee, Chieh-Chi Kao, Chao Wang
2025	J	`jnl`	Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction. CoRR Shu-Wen Yang, Byeonggeun Kim, Kuan-Po Huang, Qingming Tang, Huy Phan, Bo-Ru Lu, Harsha Sundar, Shalini Ghosh, Hung-yi Lee, Chieh-Chi Kao, Chao Wang
2025	A*	`conf`	IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling. ICML Kuan-Po Huang, Shu-Wen Yang, Huy Phan, Bo-Ru Lu, Byeonggeun Kim, Sashank Macha, Qingming Tang, Shalini Ghosh, Hung-yi Lee, Chieh-Chi Kao, Chao Wang
2025	J	`jnl`	IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling. CoRR Kuan-Po Huang, Shu-Wen Yang, Huy Phan, Bo-Ru Lu, Byeonggeun Kim, Sashank Macha, Qingming Tang, Shalini Ghosh, Hung-yi Lee, Chieh-Chi Kao, Chao Wang
2024	A*	`conf`	An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems. ICML Hitesh Tulsiani, David M. Chan, Shalini Ghosh, Garima Lalwani, Prabhat Pandey, Ankish Bansal, Sri Garimella, Ariya Rastrow, Björn Hoffmeister
2024	J	`jnl`	An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems. CoRR Hitesh Tulsiani, David M. Chan, Shalini Ghosh, Garima Lalwani, Prabhat Pandey, Ankish Bansal, Sri Garimella, Ariya Rastrow, Björn Hoffmeister
2024	A*	`conf`	FLIRT: Feedback Loop In-context Red Teaming. EMNLP Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2024	—	`conf`	Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. LREC/COLING Yash Jain, David M. Chan, Pranav Dheram, Aparna Khare, Olabanji Shonibare, Venkatesh Ravichandran, Shalini Ghosh
2024	J	`jnl`	Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. CoRR Yash Jain, David Chan, Pranav Dheram, Aparna Khare, Olabanji Shonibare, Venkatesh Ravichandran, Shalini Ghosh
2024	—	`conf`	Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. ICASSP Workshops Anirudh S. Sundar, Chao-Han Huck Yang, David M. Chan, Shalini Ghosh, Venkatesh Ravichandran, Phani Sankar Nidadavolu
2024	Misc	`conf`	Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. ICASSP Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-yi Lee, Ivan Bulyko
2024	Misc	`conf`	Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition. ICASSP David M. Chan, Shalini Ghosh, Hitesh Tulsiani, Ariya Rastrow, Björn Hoffmeister
2024	J	`jnl`	Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition. CoRR David M. Chan, Shalini Ghosh, Hitesh Tulsiani, Ariya Rastrow, Björn Hoffmeister
2024	J	`jnl`	Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks. CoRR 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
2024	Misc	`conf`	Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. ICASSP 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
2023	Misc	`conf`	Domain Adaptation with External Off-Policy Acoustic Catalogs for Scalable Contextual End-to-End Automated Speech Recognition. ICASSP David M. Chan, Shalini Ghosh, Ariya Rastrow, Björn Hoffmeister
2023	J	`jnl`	FLIRT: Feedback Loop In-context Red Teaming. CoRR Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023	C	`conf`	Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. ASRU Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
2023	J	`jnl`	Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting. CoRR Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
2023	J	`jnl`	JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023	C	`conf`	Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. ASRU 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
2023	J	`jnl`	Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. CoRR 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
2023	J	`jnl`	Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. CoRR Anirudh S. Sundar, Chao-Han Huck Yang, David M. Chan, Shalini Ghosh, Venkatesh Ravichandran, Phani Sankar Nidadavolu
2023	J	`jnl`	Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. CoRR Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-yi Lee, Ivan Bulyko
2023	Misc	`conf`	Prune Then Distill: Dataset Distillation with Importance Sampling. ICASSP Anirudh S. Sundar, Gokce Keskin, Chander Chandak, I-Fan Chen, Pegah Ghahremani, Shalini Ghosh
2023	—	`conf`	Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. WACV (Workshops) Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
2023	J	`jnl`	Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. CoRR Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
2023	—	`conf`	Unified Modeling of Multi-Domain Multi-Device ASR Systems. TSD Soumyajit Mitra, Swayambhu Nath Ray, Bharat Padi, Raghavendra Bilgi, Harish Arsikere, Shalini Ghosh, Ajay Srinivasamurthy, Sri Garimella
2023	J	`jnl`	Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition. CoRR David M. Chan, Shalini Ghosh, Ariya Rastrow, Björn Hoffmeister
2022	A	`conf`	Content-Context Factorized Representations for Automated Speech Recognition. INTERSPEECH David M. Chan, Shalini Ghosh
2022	J	`jnl`	Content-Context Factorized Representations for Automated Speech Recognition. CoRR David M. Chan, Shalini Ghosh
2022	—	`conf`	Disentangled Action Recognition with Knowledge Bases. NAACL-HLT Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu
2022	J	`jnl`	Disentangled Action Recognition with Knowledge Bases. CoRR Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu
2022	Misc	`conf`	Multi-Modal Pre-Training for Automated Speech Recognition. ICASSP David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister
2022	—	`conf`	One-Stage Object Referring with Gaze Estimation. CVPR Workshops Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach
2021	A*	`conf`	Hierarchical Class-Based Curriculum Loss. IJCAI Palash Goyal, Divya Choudhary, Shalini Ghosh
2021	J	`jnl`	Multi-Modal Pre-Training for Automated Speech Recognition. CoRR David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister
2020	J	`jnl`	Automated Permission Model Generation for Securing SDN Control-Plane. IEEE Trans. Inf. Forensics Secur. Heedo Kang, Vinod Yegneswaran, Shalini Ghosh, Phillip A. Porras, Seungwon Shin
2020	A	`conf`	Class-incremental Learning via Deep Model Consolidation. WACV Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo
2020	J	`jnl`	Cross-modal Learning for Multi-modal Video Categorization. CoRR Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
2020	A*	`conf`	Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models. ACM Multimedia Saurabh Sahu, Palash Goyal, Shalini Ghosh, Chul Lee
2020	J	`jnl`	Exploiting Temporal Coherence for Multi-modal Video Categorization. CoRR Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
2020	J	`jnl`	Hierarchical Class-Based Curriculum Loss. CoRR Palash Goyal, Shalini Ghosh
2020	A*	`conf`	Multimodal Machine Learning for Video and Image Analysis. KDD Shalini Ghosh
2020	A	`conf`	Regularize, Expand and Compress: NonExpansive Continual Learning. WACV Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
2019	J	`jnl`	Class-incremental Learning via Deep Model Consolidation. CoRR Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo
2019	J	`jnl`	Data Masking with Privacy Guarantees. CoRR Anh T. Pham, Shalini Ghosh, Vinod Yegneswaran
2019	J	`jnl`	Efficient Incremental Learning for Mobile Object Detection. CoRR Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck
2019	J	`jnl`	Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention. CoRR Shalini Ghosh, Giedrius Burachas, Arijit Ray, Avi Ziskind
2019	J	`jnl`	Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation. CoRR Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo
2019	A*	`conf`	Generative Visual Dialogue System via Weighted Likelihood Estimation. IJCAI Heming Zhang, Shalini Ghosh, Larry P. Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C.-C. Jay Kuo
2019	J	`jnl`	MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang
2019	Misc	`conf`	RILOD: near real-time incremental learning for object detection at the edge. SEC Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck
2019	J	`jnl`	Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. CoRR Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
2019	A*	`conf`	Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. ICCV Ramprasaath Ramasamy Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry P. Heck, Dhruv Batra, Devi Parikh
2018	—	`conf`	A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds. ECML/PKDD (2) Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
2018	J	`jnl`	A Unified Framework for Domain Adaptation using Metric Learning on Manifolds. CoRR Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
2018	—	`conf`	AEGIS: An Automated Permission Generation and Verification System for SDNs. SecSoN@SIGCOMM Heedo Kang, Seungwon Shin, Vinod Yegneswaran, Shalini Ghosh, Phillip A. Porras
2018	—	`conf`	Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes. DSN Workshops Shalini Ghosh, Susmit Jha, Ashish Tiwari, Patrick Lincoln, Xiaojin Zhu
2018	—	`conf`	Time Series Deinterleaving of DNS Traffic. IEEE Symposium on Security and Privacy Workshops Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee
2018	J	`jnl`	Time Series Deinterleaving of DNS Traffic. CoRR Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee
2018	J	`jnl`	Trusted Neural Networks for Safety-Constrained Autonomous Control. CoRR Shalini Ghosh, Amaury Mercier, Dheeraj Pichapati, Susmit Jha, Vinod Yegneswaran, Patrick Lincoln
2017	—	`conf`	ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem. AAAI Workshops Shalini Ghosh, Phillip A. Porras, Vinod Yegneswaran, Ken Nitz, Ariyam Das
2017	A*	`conf`	Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem. KDD Shalini Ghosh, Ariyam Das, Phillip A. Porras, Vinod Yegneswaran, Ashish Gehani
2017	—	`conf`	Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. AAAI Workshops Shalini Ghosh, Patrick Lincoln, Ashish Tiwari, Xiaojin Zhu
2016	—	`conf`	ARSENAL: Automatic Requirements Specification Extraction from Natural Language. NFM Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner
2016	J	`jnl`	Contextual LSTM (CLSTM) models for Large scale NLP tasks. CoRR Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, Larry P. Heck
2016	J	`jnl`	Reexamining DNS From a Global Recursive Resolver Perspective. IEEE/ACM Trans. Netw. Hongyu Gao, Vinod Yegneswaran, Jian Jiang, Yan Chen, Phillip A. Porras, Shalini Ghosh, Hai-Xin Duan
2014	J	`jnl`	Automatically Extracting Requirements Specifications from Natural Language. CoRR Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner
2014	J	`jnl`	Virus Detection in Multiplexed Nanowire Arrays using Hidden Semi-Markov models. CoRR Shalini Ghosh, Patrick Lincoln, Christian Petersen, Alfonso Valdes
2013	A*	`conf`	An empirical reexamination of global DNS behavior. SIGCOMM Hongyu Gao, Vinod Yegneswaran, Yan Chen, Phillip A. Porras, Shalini Ghosh, Jian Jiang, Hai-Xin Duan
2013	C	`conf`	Probabilistic Modeling of Failure Dependencies Using Markov Logic Networks. PRDC Shalini Ghosh, Wilfried Steiner, Grit Denker, Patrick Lincoln
2012	—	`conf`	Combining Subjective Probabilities and Data in Training Markov Logic Networks. ECML/PKDD (1) Tivadar Papai, Shalini Ghosh, Henry A. Kautz
2005	J	`jnl`	Detection probabilities of interconnect breaks: an analysis. Integr. Shalini Ghosh, F. Joel Ferguson
2005	J	`jnl`	Selecting Error Correcting Codes to Minimize Power in Memory Checker Circuits. J. Low Power Electron. Shalini Ghosh, Sugato Basu, Nur A. Touba
2005	Misc	`conf`	Synthesis of Low Power CED Circuits Based on Parity Codes. VTS Shalini Ghosh, Sugato Basu, Nur A. Touba
2004	—	`conf`	Estimating detection probability of interconnect opens using stuck-at tests. ACM Great Lakes Symposium on VLSI Shalini Ghosh, F. Joel Ferguson
2004	—	`conf`	Low-power weighted pseudo-random BIST using special scan cells. ACM Great Lakes Symposium on VLSI Shalini Ghosh, Eric W. MacDonald, Sugato Basu, Nur A. Touba
2004	A	`conf`	Reducing Power Consumption in Memory ECC Checkers. ITC Shalini Ghosh, Nur A. Touba, Sugato Basu
2003	—	`conf`	Joint Minimization of Power and Area in Scan Testing by Scan Cell Reordering. ISVLSI Shalini Ghosh, Sugato Basu, Nur A. Touba