Saleema Amershi

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 30

Top Topics

Data Generation

Machine Learning

Natural Language

Top Venues

CHI Extended Abstracts

Publications

Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. AIES (2023)
John Joon Young Chung, Ece Kamar, Saleema Amershi
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions. CoRR (2023)
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)
Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Saleema Amershi
Supporting Human-AI Collaboration in Auditing LLMs with LLMs. CoRR (2023)
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 (2023)
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) (2023)
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)
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)
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)
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
How Different Groups Prioritize Ethical Values for Responsible AI. CoRR (2022)
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 (2022)
Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu
How Different Groups Prioritize Ethical Values for Responsible AI. FAccT (2022)
Quan Ze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
HINT: Integration Testing for AI-based features with Humans in the Loop. IUI (2022)
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 (2022)
Matthew K. Hong, Adam Fourney, Derek DeBellis, Saleema Amershi
Planning for Natural Language Failures with the AI Playbook. CHI (2021)
Tobias Schnabel, Gonzalo A. Ramos, Saleema Amershi
"Who doesn't like dinosaurs?" Finding and Eliciting Richer Preferences for Recommendation. RecSys (2020)
Tobias Schnabel, Saleema Amershi, Paul N. Bennett, Peter Bailey, Thorsten Joachims
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. SIGIR (2020)
Saleema Amershi
Toward Responsible AI by Planning to Fail. KDD (2020)
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)
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)
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)
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)
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)
Joseph Chee Chang, Saleema Amershi, Ece Kamar
Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets. CHI (2017)
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 (2017)
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) (2017)
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)
Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs. EMNLP (2016)
Jina Suh, Xiaojin Zhu, Saleema Amershi
The Label Complexity of Mixed-Initiative Classifier Training. ICML (2016)
Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu
Active Learning with Oracle Epiphany. NIPS (2016)
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)
Saleema Amershi, Max Chickering, Steven Mark Drucker, Bongshin Lee, Patrice Y. Simard, Jina Suh
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. CHI (2015)
Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Xavier Charles
Structured labeling for facilitating concept evolution in machine learning. CHI (2014)
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) (2014)
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 (2014)
Saleema Amershi, Jalal Mahmud, Jeffrey Nichols, Tessa Lau, German Attanasio Ruiz
LiveAction: Automating Web Task Model Generation. ACM Trans. Interact. Intell. Syst. 3 (3) (2013)
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza, Tessa Lau
IUI workshop on interactive machine learning. IUI Companion (2013)
Saleema Amershi, James Fogarty, Daniel S. Weld
Regroup: interactive machine learning for on-demand group creation in social networks. CHI (2012)
Saleema Amershi
Designing for effective end-user interaction with machine learning. UIST (Adjunct Volume) (2011)
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage. IJCAI (2011)
Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan, Blaine Christian
CueT: human-guided fast and accurate network alarm triage. CHI (2011)
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan
Effective End-User Interaction with Machine Learning. AAAI (2011)
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan
Examining multiple potential models in end-user interactive concept learning. CHI (2010)
Saleema Amershi, Meredith Ringel Morris, Neema Moraveji, Ravin Balakrishnan, Kentaro Toyama
Multiple mouse text entry for single-display groupware. CSCW (2010)
Jay Chen, Saleema Amershi, Aditya Dhananjay, Lakshminarayanan Subramanian
Comparing web interaction models in developing regions. ACM DEV (2010)
Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld
Amplifying community content creation with mixed initiative information extraction. CHI (2009)
Saleema Amershi, Meredith Ringel Morris
Co-located collaborative web search: understanding status quo practices. CHI Extended Abstracts (2009)
Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan
Overview based example selection in end user interactive concept learning. UIST (2009)
Saleema Amershi, Meredith Ringel Morris
CoSearch: a system for co-located collaborative web search. CHI (2008)
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) (2008)
Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner
Intelligence in Wikipedia. AAAI (2008)
Saleema Amershi, Cristina Conati
Unsupervised and supervised machine learning in user modeling for intelligent learning environments. IUI (2007)
Cristina Conati, Christina Merten, Saleema Amershi, Kasia Muldner
Using Eye-Tracking Data for High-Level User Modeling in Adaptive Interfaces. AAAI (2007)
Saleema Amershi, Cristina Conati
Automatic Recognition of Learner Groups in Exploratory Learning Environments. Intelligent Tutoring Systems (2006)
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)