Been Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | How new data permeates LLM knowledge and how to dilute it. | Chen Sun, Renat Aksitov, Andrey Zhmoginov, Nolan Andrew Miller, Max Vladymyrov, Ulrich Rueckert, Been Kim, Mark Sandler |
| 2025 | ICML | Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty. | Meera Hahn, Wenjun Zeng, Nithish Kannen, Rich Galt, Kartikeya Badola, Been Kim, Zi Wang |
| 2025 | ICML | Position: We Can't Understand AI Using our Existing Vocabulary. | John Hewitt, Robert Geirhos, Been Kim |
| 2024 | CogSci | Can Generative Multimodal Models Count to Ten? | Sunayana Rane, Alexander Ku, Jason Baldridge, Ian Tenney, Tom Griffiths, Been Kim |
| 2024 | ICML | Don't trust your eyes: on the (un)reliability of feature visualizations. | Robert Geirhos, Roland S. Zimmermann, Blair L. Bilodeau, Wieland Brendel, Been Kim |
| 2023 | ICML | On the Relationship Between Explanation and Prediction: A Causal View. | Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schlkopf, Been Kim |
| 2023 | IUI | Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems. | Devleena Das, Been Kim, Sonia Chernova |
| 2022 | ICLR | Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation. | Julius Adebayo, Michael Muelly, Harold Abelson, Been Kim |
| 2022 | ICLR | DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. | Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard |
| 2020 | ICML | Concept Bottleneck Models. | Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang |
| 2019 | AISTATS | Interpreting Black Box Predictions using Fisher Kernels. | Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo |
| 2019 | CHI | Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making. | Carrie J. Cai, Emily Reif, Narayan Hegde, Jason D. Hipp, Been Kim, Daniel Smilkov, Martin Wattenberg, Fernanda B. Vigas, Gregory S. Corrado, Martin C. Stumpe, Michael Terry |
| 2019 | HCOMP | Human Evaluation of Models Built for Interpretability. | Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Samuel J. Gershman, Finale Doshi-Velez |
| 2018 | ICLR | Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values. | Julius Adebayo, Justin Gilmer, Ian J. Goodfellow, Been Kim |
| 2018 | ICLR | Learning how to explain neural networks: PatternNet and PatternAttribution. | Pieter-Jan Kindermans, Kristof T. Schtt, Maximilian Alber, Klaus-Robert Mller, Dumitru Erhan, Been Kim, Sven Dhne |
| 2018 | ICML | Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV). | Been Kim, Martin Wattenberg, Justin Gilmer, Carrie J. Cai, James Wexler, Fernanda B. Vigas, Rory Sayres |
| 2015 | AAAI | Scalable and Interpretable Data Representation for High-Dimensional, Complex Data. | Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah |
| 2013 | AAAI | Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior. | Been Kim, Caleb M. Chacha, Julie A. Shah |
| 2013 | AAAI | Machine Learning for Meeting Analysis. | Been Kim, Cynthia Rudin |
| 2013 | CogSIMA | Quantitative estimation of the strength of agreements in goal-oriented meetings. | Been Kim, Larry A. M. Bush, Julie Shah |
| 2010 | ICRA | Multiple relative pose graphs for robust cooperative mapping. | Been Kim, Michael Kaess, Luke Fletcher, John J. Leonard, Abraham Bachrach, Nicholas Roy, Seth J. Teller |