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Contributed Talk: TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Dylan Slack · Satyapriya Krishna · Himabindu Lakkaraju · Sameer Singh
Author Information
Dylan Slack (UC Irvine)
Satyapriya Krishna (Harvard University)
Himabindu Lakkaraju (Harvard)
Sameer Singh (University of California, Irvine)
Sameer Singh is an Assistant Professor at UC Irvine working on robustness and interpretability of machine learning. Sameer has presented tutorials and invited workshop talks at EMNLP, Neurips, NAACL, WSDM, ICLR, ACL, and AAAI, and received paper awards at KDD 2016, ACL 2018, EMNLP 2019, AKBC 2020, and ACL 2020. Website: http://sameersingh.org/
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2021 : Defuse: Training More Robust Models through Creation and Correction of Novel Model Errors »
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2021 : Cutting Down on Prompts and Parameters:Simple Few-Shot Learning with Language Models »
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2022 : Quantifying Social Biases Using Templates is Unreliable »
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2022 : TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations »
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2022 : On the Impact of Adversarially Robust Models on Algorithmic Recourse »
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2023 Workshop: Regulatable ML: Towards Bridging the Gaps between Machine Learning Research and Regulations »
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2023 Workshop: XAI in Action: Past, Present, and Future Applications »
Chhavi Yadav · Michal Moshkovitz · Nave Frost · Suraj Srinivas · Bingqing Chen · Valentyn Boreiko · Himabindu Lakkaraju · J. Zico Kolter · Dotan Di Castro · Kamalika Chaudhuri -
2022 Poster: OpenXAI: Towards a Transparent Evaluation of Model Explanations »
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2022 Poster: Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations »
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2022 Poster: Efficient Training of Low-Curvature Neural Networks »
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2021 : [S6] Defuse: Training More Robust Models through Creation and Correction of Novel Model Errors »
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2021 : Cutting Down on Prompts and Parameters:Simple Few-Shot Learning with Language Models »
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2021 Poster: Reliable Post hoc Explanations: Modeling Uncertainty in Explainability »
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2021 : PYLON: A PyTorch Framework for Learning with Constraints »
Kareem Ahmed · Tao Li · Nu Mai Thy Ton · Quan Guo · Kai-Wei Chang · Parisa Kordjamshidi · Vivek Srikumar · Guy Van den Broeck · Sameer Singh -
2021 Poster: Counterfactual Explanations Can Be Manipulated »
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2020 Tutorial: (Track2) Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities Q&A »
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2020 Tutorial: (Track2) Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities »
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2019 : Poster session »
Jindong Gu · Alice Xiang · Atoosa Kasirzadeh · Zhiwei Han · Omar U. Florez · Frederik Harder · An-phi Nguyen · Amir Hossein Akhavan Rahnama · Michele Donini · Dylan Slack · Junaid Ali · Paramita Koley · Michiel Bakker · Anna Hilgard · Hailey James · Gonzalo Ramos · Jialin Lu · Jingying Yang · Margarita Boyarskaya · Martin Pawelczyk · Kacper Sokol · Mimansa Jaiswal · Umang Bhatt · David Alvarez-Melis · Aditya Grover · Charles Marx · Mengjiao (Sherry) Yang · Jingyan Wang · Gökhan Çapan · Hanchen Wang · Steffen Grünewälder · Moein Khajehnejad · Gourab Patro · Russell Kunes · Samuel Deng · Yuanting Liu · Luca Oneto · Mengze Li · Thomas Weber · Stefan Matthes · Duy Patrick Tu -
2019 Workshop: KR2ML - Knowledge Representation and Reasoning Meets Machine Learning »
Veronika Thost · Christian Muise · Kartik Talamadupula · Sameer Singh · Christopher Ré -
2019 Demonstration: AllenNLP Interpret: Explaining Predictions of NLP Models »
Jens Tuyls · Eric Wallace · Matt Gardner · Junlin Wang · Sameer Singh · Sanjay Subramanian