FIND: A Function Description Benchmark for Evaluating Interpretability Methods

FIND: A Function Description Benchmark for Evaluating Interpretability Methods. Schwettmann, S., Shaham, T. R., Materzynska, J., Chowdhury, N., Li, S., Andreas, J., Bau, D., & Torralba, A. In Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., & Levine, S., editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023.

Paper bibtex

@inproceedings{DBLP:conf/nips/SchwettmannSMCL23,
  author       = {Sarah Schwettmann and
                  Tamar Rott Shaham and
                  Joanna Materzynska and
                  Neil Chowdhury and
                  Shuang Li and
                  Jacob Andreas and
                  David Bau and
                  Antonio Torralba},
  editor       = {Alice Oh and
                  Tristan Naumann and
                  Amir Globerson and
                  Kate Saenko and
                  Moritz Hardt and
                  Sergey Levine},
  title        = {{FIND:} {A} Function Description Benchmark for Evaluating Interpretability
                  Methods},
  booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference
                  on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
                  LA, USA, December 10 - 16, 2023},
  year         = {2023},
  url          = {http://papers.nips.cc/paper\_files/paper/2023/hash/ef0164c1112f56246224af540857348f-Abstract-Datasets\_and\_Benchmarks.html},
  timestamp    = {Mon, 22 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/SchwettmannSMCL23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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