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2020 – today
- 2024
[i11]Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi:
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems. CoRR abs/2408.15247 (2024)- [i10]Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, Saleema Amershi:
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks. CoRR abs/2411.04468 (2024) - [i9]Gagan Bansal, Jennifer Wortman Vaughan, Saleema Amershi, Eric Horvitz, Adam Fourney, Hussein Mozannar, Victor Dibia, Daniel S. Weld:
Challenges in Human-Agent Communication. CoRR abs/2412.10380 (2024) - 2023
- [j5]Tianyi Li
, Mihaela Vorvoreanu, Derek DeBellis, Saleema Amershi:
Assessing Human-AI Interaction Early through Factorial Surveys: A Study on the Guidelines for Human-AI Interaction. ACM Trans. Comput. Hum. Interact. 30(5): 69:1-69:45 (2023) - [c42]John Joon Young Chung, Ece Kamar, Saleema Amershi:
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. ACL (1) 2023: 575-593 - [c41]Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi:
Aligning Offline Metrics and Human Judgments of Value for Code Generation Models. ACL (Findings) 2023: 8516-8528 - [c40]Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi:
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. AIES 2023: 913-926 - [c39]Michael S. Bernstein, Joon Sung Park, Meredith Ringel Morris, Saleema Amershi, Lydia B. Chilton, Mitchell L. Gordon:
Architecting Novel Interactions with Generative AI Models. UIST (Adjunct Volume) 2023: 107:1-107:3 - [i8]Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Saleema Amershi:
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. CoRR abs/2304.09991 (2023) - [i7]Zana Buçinca, Chau Minh Pham, Maurice Jakesch, Marco Túlio Ribeiro, Alexandra Olteanu, Saleema Amershi:
AHA!: Facilitating AI Impact Assessment by Generating Examples of Harms. CoRR abs/2306.03280 (2023) - [i6]John Joon Young Chung, Ece Kamar, Saleema Amershi:
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. CoRR abs/2306.04140 (2023) - 2022
- [c38]Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu:
How Different Groups Prioritize Ethical Values for Responsible AI. FAccT 2022: 310-323 - [c37]Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan:
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research. FAccT 2022: 587-597 - [c36]Quan Ze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi:
HINT: Integration Testing for AI-based features with Humans in the Loop. IUI 2022: 549-565 - [i5]Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu:
How Different Groups Prioritize Ethical Values for Responsible AI. CoRR abs/2205.07722 (2022) - [i4]Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan:
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research. CoRR abs/2205.08363 (2022) - [i3]Victor Dibia, Adam Fourney, Gagan Bansal, Forough Poursabzi-Sangdeh, Han Liu, Saleema Amershi:
Aligning Offline Metrics and Human Judgments of Value of AI-Pair Programmers. CoRR abs/2210.16494 (2022) - 2021
- [c35]Matthew K. Hong, Adam Fourney, Derek DeBellis, Saleema Amershi:
Planning for Natural Language Failures with the AI Playbook. CHI 2021: 386:1-386:11 - 2020
- [c34]Saleema Amershi:
Toward Responsible AI by Planning to Fail. KDD 2020: 3607 - [c33]Tobias Schnabel, Gonzalo A. Ramos, Saleema Amershi:
"Who doesn't like dinosaurs?" Finding and Eliciting Richer Preferences for Recommendation. RecSys 2020: 398-407 - [c32]Tobias Schnabel, Saleema Amershi, Paul N. Bennett, Peter Bailey, Thorsten Joachims:
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. SIGIR 2020: 991-1000
2010 – 2019
- 2019
- [c31]Saleema Amershi, Daniel S. Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi T. Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz:
Guidelines for Human-AI Interaction. CHI 2019: 3 - [c30]Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink, Alison Smith-Renner, Gagan Bansal:
Emerging Perspectives in Human-Centered Machine Learning. CHI Extended Abstracts 2019 - [c29]Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi T. Iqbal, Jaime Teevan:
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence. CHI 2019: 185 - [c28]Rafal Kocielnik, Saleema Amershi, Paul N. Bennett:
Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems. CHI 2019: 411 - [c27]Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLine, Harald C. Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, Thomas Zimmermann:
Software engineering for machine learning: a case study. ICSE (SEIP) 2019: 291-300 - 2017
- [j4]Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason D. Williams:
Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers. IEEE Trans. Vis. Comput. Graph. 23(1): 61-70 (2017) - [c26]Joseph Chee Chang, Saleema Amershi, Ece Kamar:
Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets. CHI 2017: 2334-2346 - [i2]Patrice Y. Simard, Saleema Amershi, David Maxwell Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher Meek, Gonzalo A. Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing:
Machine Teaching: A New Paradigm for Building Machine Learning Systems. CoRR abs/1707.06742 (2017) - 2016
- [c25]Marco Gillies, Rebecca Fiebrink, Atau Tanaka, Jérémie Garcia, Frédéric Bevilacqua, Alexis Héloir, Fabrizio Nunnari, Wendy E. Mackay, Saleema Amershi, Bongshin Lee, Nicolas D'Alessandro, Joëlle Tilmanne, Todd Kulesza, Baptiste Caramiaux:
Human-Centred Machine Learning. CHI Extended Abstracts 2016: 3558-3565 - [c24]Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi:
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs. EMNLP 2016: 340-350 - [c23]Jina Suh, Xiaojin Zhu, Saleema Amershi:
The Label Complexity of Mixed-Initiative Classifier Training. ICML 2016: 2800-2809 - [c22]Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu:
Active Learning with Oracle Epiphany. NIPS 2016: 2820-2828 - 2015
- [c21]Saleema Amershi, Max Chickering, Steven Mark Drucker, Bongshin Lee, Patrice Y. Simard, Jina Suh:
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. CHI 2015: 337-346 - [c20]Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Mark Drucker, Ashish Kapoor, Patrice Y. Simard:
FeatureInsight: Visual support for error-driven feature ideation in text classification. VAST 2015: 105-112 - 2014
- [j3]Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza:
Power to the People: The Role of Humans in Interactive Machine Learning. AI Mag. 35(4): 105-120 (2014) - [c19]Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Xavier Charles:
Structured labeling for facilitating concept evolution in machine learning. CHI 2014: 3075-3084 - [i1]Patrice Y. Simard, David Maxwell Chickering, Aparna Lakshmiratan, Denis Xavier Charles, Léon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh:
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. CoRR abs/1409.4814 (2014) - 2013
- [j2]Saleema Amershi, Jalal Mahmud, Jeffrey Nichols, Tessa Lau, German Attanasio Ruiz:
LiveAction: Automating Web Task Model Generation. ACM Trans. Interact. Intell. Syst. 3(3): 14:1-14:23 (2013) - [c18]Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza, Tessa Lau:
IUI workshop on interactive machine learning. IUI Companion 2013: 121-124 - 2012
- [b1]Saleema Amershi:
Designing for Effective End-User Interaction with Machine Learning. University of Washington, USA, 2012 - [c17]Saleema Amershi, James Fogarty, Daniel S. Weld:
Regroup: interactive machine learning for on-demand group creation in social networks. CHI 2012: 21-30 - 2011
- [c16]Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan:
Effective End-User Interaction with Machine Learning. AAAI 2011: 1529-1532 - [c15]Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian:
CueT: human-guided fast and accurate network alarm triage. CHI 2011: 157-166 - [c14]Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian:
Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage. IJCAI 2011: 2564-2569 - [c13]Saleema Amershi:
Designing for effective end-user interaction with machine learning. UIST (Adjunct Volume) 2011: 47-50 - [e2]Desney S. Tan, Saleema Amershi, Bo Begole, Wendy A. Kellogg, Manas Tungare:
Proceedings of the International Conference on Human Factors in Computing Systems, CHI 2011, Vancouver, BC, Canada, May 7-12, 2011. ACM 2011, ISBN 978-1-4503-0228-9 [contents] - [e1]Desney S. Tan, Saleema Amershi, Bo Begole, Wendy A. Kellogg, Manas Tungare:
Proceedings of the International Conference on Human Factors in Computing Systems, CHI 2011, Extended Abstracts Volume, Vancouver, BC, Canada, May 7-12, 2011. ACM 2011, ISBN 978-1-4503-0268-5 [contents] - 2010
- [c12]Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan:
Examining multiple potential models in end-user interactive concept learning. CHI 2010: 1357-1360 - [c11]Saleema Amershi, Meredith Ringel Morris, Neema Moraveji, Ravin Balakrishnan, Kentaro Toyama:
Multiple mouse text entry for single-display groupware. CSCW 2010: 169-178 - [c10]Jay Chen, Saleema Amershi, Aditya Dhananjay, Lakshminarayanan Subramanian:
Comparing web interaction models in developing regions. ACM DEV 2010: 6
2000 – 2009
- 2009
- [c9]Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld:
Amplifying community content creation with mixed initiative information extraction. CHI 2009: 1849-1858 - [c8]Saleema Amershi, Meredith Ringel Morris:
Co-located collaborative web search: understanding status quo practices. CHI Extended Abstracts 2009: 3637-3642 - [c7]Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan:
Overview based example selection in end user interactive concept learning. UIST 2009: 247-256 - 2008
- [j1]Saleema Amershi, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, David Poole:
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace. Interact. Comput. 20(1): 64-96 (2008) - [c6]Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner:
Intelligence in Wikipedia. AAAI 2008: 1609-1614 - [c5]Saleema Amershi, Meredith Ringel Morris:
CoSearch: a system for co-located collaborative web search. CHI 2008: 1647-1656 - 2007
- [c4]Cristina Conati, Christina Merten, Saleema Amershi, Kasia Muldner:
Using Eye-Tracking Data for High-Level User Modeling in Adaptive Interfaces. AAAI 2007: 1614-1617 - [c3]Saleema Amershi, Cristina Conati:
Unsupervised and supervised machine learning in user modeling for intelligent learning environments. IUI 2007: 72-81 - 2006
- [c2]Saleema Amershi, Cristina Conati:
Automatic Recognition of Learner Groups in Exploratory Learning Environments. Intelligent Tutoring Systems 2006: 463-472 - 2005
- [c1]Saleema Amershi, N. Arksey, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, Heather Maclaren, David Poole:
Designing CIspace: pedagogy and usability in a learning environment for AI. ITiCSE 2005: 178-182
Coauthor Index
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