Shalini Ghosh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
19
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling. | 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 | ICML | Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction. | 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 |
| 2024 | COLING | Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. | Yash Jain, David M. Chan, Pranav Dheram, Aparna Khare, Olabanji Shonibare, Venkatesh Ravichandran, Shalini Ghosh |
| 2024 | EMNLP | 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 |
| 2024 | ICASSP | Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition. | David M. Chan, Shalini Ghosh, Hitesh Tulsiani, Ariya Rastrow, Bjrn Hoffmeister |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | 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 |
| 2024 | ICML | An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems. | Hitesh Tulsiani, David M. Chan, Shalini Ghosh, Garima Lalwani, Prabhat Pandey, Ankish Bansal, Sri Garimella, Ariya Rastrow, Bjrn Hoffmeister |
| 2023 | ASRU | 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 |
| 2023 | ASRU | 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 |
| 2023 | ICASSP | Domain Adaptation with External Off-Policy Acoustic Catalogs for Scalable Contextual End-to-End Automated Speech Recognition. | David M. Chan, Shalini Ghosh, Ariya Rastrow, Bjrn Hoffmeister |
| 2023 | ICASSP | Prune Then Distill: Dataset Distillation with Importance Sampling. | Anirudh S. Sundar, Gokce Keskin, Chander Chandak, I-Fan Chen, Pegah Ghahremani, Shalini Ghosh |
| 2023 | WACV | 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 |
| 2022 | CVPR | One-Stage Object Referring with Gaze Estimation. | Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach |
| 2022 | ICASSP | Multi-Modal Pre-Training for Automated Speech Recognition. | David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Bjrn Hoffmeister |
| 2022 | Interspeech | Content-Context Factorized Representations for Automated Speech Recognition. | David M. Chan, Shalini Ghosh |
| 2022 | NAACL | Disentangled Action Recognition with Knowledge Bases. | Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu |
| 2021 | IJCAI | Hierarchical Class-Based Curriculum Loss. | Palash Goyal, Divya Choudhary, Shalini Ghosh |
| 2020 | KDD | Multimodal Machine Learning for Video and Image Analysis. | Shalini Ghosh |
| 2020 | WACV | 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 |
| 2020 | WACV | Regularize, Expand and Compress: NonExpansive Continual Learning. | Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang |
| 2019 | ICCV | 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 |
| 2019 | IJCAI | 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 |
| 2018 | DSN | Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes. | Shalini Ghosh, Susmit Jha, Ashish Tiwari, Patrick Lincoln, Xiaojin Zhu |
| 2018 | SIGCOMM | AEGIS: An Automated Permission Generation and Verification System for SDNs. | Heedo Kang, Seungwon Shin, Vinod Yegneswaran, Shalini Ghosh, Phillip A. Porras |
| 2018 | SP | Time Series Deinterleaving of DNS Traffic. | Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee |
| 2017 | AAAI | Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. | Shalini Ghosh, Patrick Lincoln, Ashish Tiwari, Xiaojin Zhu |
| 2017 | AAAI | ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem. | Shalini Ghosh, Phillip A. Porras, Vinod Yegneswaran, Ken Nitz, Ariyam Das |
| 2017 | KDD | Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem. | Shalini Ghosh, Ariyam Das, Phillip A. Porras, Vinod Yegneswaran, Ashish Gehani |
| 2013 | PRDC | Probabilistic Modeling of Failure Dependencies Using Markov Logic Networks. | Shalini Ghosh, Wilfried Steiner, Grit Denker, Patrick Lincoln |
| 2013 | SIGCOMM | An empirical reexamination of global DNS behavior. | Hongyu Gao, Vinod Yegneswaran, Yan Chen, Phillip A. Porras, Shalini Ghosh, Jian Jiang, Hai-Xin Duan |
| 2005 | VTS | Synthesis of Low Power CED Circuits Based on Parity Codes. | Shalini Ghosh, Sugato Basu, Nur A. Touba |
| 2004 | ITC | Reducing Power Consumption in Memory ECC Checkers. | Shalini Ghosh, Nur A. Touba, Sugato Basu |