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ORCIDMimansa Jaiswal
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2020 – today
- 2024
[i13]Stella Biderman, Hailey Schoelkopf, Lintang Sutawika, Leo Gao, Jonathan Tow, Baber Abbasi, Alham Fikri Aji, Pawan Sasanka Ammanamanchi, Sidney Black, Jordan Clive, Anthony DiPofi, Julen Etxaniz, Benjamin Fattori, Jessica Zosa Forde, Charles Foster, Jeffrey Hsu, Mimansa Jaiswal, Wilson Y. Lee, Haonan Li, Charles Lovering, Niklas Muennighoff, Ellie Pavlick, Jason Phang, Aviya Skowron, Samson Tan, Xiangru Tang, Kevin A. Wang, Genta Indra Winata, François Yvon, Andy Zou:
Lessons from the Trenches on Reproducible Evaluation of Language Models. CoRR abs/2405.14782 (2024)- [i12]Shachar Don-Yehiya, Ben Burtenshaw, Ramón Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen:
The Future of Open Human Feedback. CoRR abs/2408.16961 (2024) - [i11]Minxue Niu, Mimansa Jaiswal, Emily Mower Provost:
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs. CoRR abs/2408.17026 (2024) - 2023
- [b1]Mimansa Jaiswal:
Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation. University of Michigan, USA, 2023 - [c11]Minxue Niu, Amrit Romana, Mimansa Jaiswal, Melvin G. McInnis, Emily Mower Provost:
Capturing Mismatch between Textual and Acoustic Emotion Expressions for Mood Identification in Bipolar Disorder. INTERSPEECH 2023: 1718-1722 - [i10]Mimansa Jaiswal:
Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation. CoRR abs/2309.03238 (2023) - 2022
- [c10]Matthew Perez
, Mimansa Jaiswal, Minxue Niu, Cristina Gorrostieta, Matthew Roddy, Kye Taylor, Reza Lotfian, John Kane, Emily Mower Provost:
Mind the gap: On the value of silence representations to lexical-based speech emotion recognition. INTERSPEECH 2022: 156-160 - 2021
- [i9]Mimansa Jaiswal, Emily Mower Provost:
Why Should I Trust a Model is Private? Using Shifts in Model Explanation for Evaluating Privacy-Preserving Emotion Recognition Model. CoRR abs/2104.08792 (2021) - [i8]Mimansa Jaiswal, Emily Mower Provost:
Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition "In the Wild". CoRR abs/2104.08806 (2021) - 2020
- [c9]Mimansa Jaiswal, Emily Mower Provost:
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition. AAAI 2020: 7985-7993 - [c8]Mimansa Jaiswal:
Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns. AAAI 2020: 13716-13717 - [c7]Mimansa Jaiswal, Cristian-Paul Bara, Yuanhang Luo, Mihai Burzo, Rada Mihalcea, Emily Mower Provost:
MuSE: a Multimodal Dataset of Stressed Emotion. LREC 2020: 1499-1510
2010 – 2019
- 2019
- [c6]Mimansa Jaiswal, Zakaria Aldeneh, Cristian-Paul Bara, Yuanhang Luo, Mihai Burzo, Rada Mihalcea, Emily Mower Provost:
Muse-ing on the Impact of Utterance Ordering on Crowdsourced Emotion Annotations. ICASSP 2019: 7415-7419 - [c5]Mimansa Jaiswal, Zakaria Aldeneh, Emily Mower Provost:
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning. ICMI 2019: 174-184 - [c4]Zakaria Aldeneh, Mimansa Jaiswal, Michael Picheny, Melvin G. McInnis, Emily Mower Provost:
Identifying Mood Episodes Using Dialogue Features from Clinical Interviews. INTERSPEECH 2019: 1926-1930 - [i7]Mimansa Jaiswal, Sairam Tabibu, Rajiv Bajpai:
The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection. CoRR abs/1903.04484 (2019) - [i6]Mimansa Jaiswal, Sairam Tabibu, Erik Cambria:
"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses. CoRR abs/1903.05210 (2019) - [i5]Mimansa Jaiswal, Zakaria Aldeneh, Cristian-Paul Bara, Yuanhang Luo, Mihai Burzo, Rada Mihalcea, Emily Mower Provost:
MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion Annotations. CoRR abs/1903.11672 (2019) - [i4]Mimansa Jaiswal, Zakaria Aldeneh, Emily Mower Provost:
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning. CoRR abs/1908.08979 (2019) - [i3]Zakaria Aldeneh, Mimansa Jaiswal, Michael Picheny, Melvin G. McInnis, Emily Mower Provost:
Identifying Mood Episodes Using Dialogue Features from Clinical Interviews. CoRR abs/1910.05115 (2019) - [i2]Mimansa Jaiswal, Emily Mower Provost:
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition. CoRR abs/1910.13212 (2019) - 2018
- [c3]Soheil Khorram, Mimansa Jaiswal, John Gideon, Melvin G. McInnis, Emily Mower Provost:
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild. INTERSPEECH 2018: 1903-1907 - [i1]Soheil Khorram, Mimansa Jaiswal, John Gideon, Melvin G. McInnis, Emily Mower Provost:
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild. CoRR abs/1806.10658 (2018) - 2017
- [c2]Mimansa Jaiswal, Sairam Tabibu, Erik Cambria:
"Hang In There: " Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses. FLAIRS 2017: 377-381 - 2016
- [c1]Mimansa Jaiswal, Sairam Tabibu, Rajiv Bajpai:
The Truth and Nothing But the Truth: Multimodal Analysis for Deception Detection. ICDM Workshops 2016: 938-943
Coauthor Index
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