Paper

  • Do causal predictors generalize better to new domains?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do causal predictors generalize better to new domains?

    Vivian Nastl, Moritz Hardt p31202-31315 from Advances in Neural Information Processing Systems 37
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  • Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Sangwon Jung, Sumin Yu, Sanghyuk Chun, Taesup Moon p56041-56053 from Advances in Neural Information Processing Systems 37
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  • Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

    Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat p13597-13609 from Advances in Neural Information Processing Systems 35
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  • Do Finetti: On Causal Effects for Exchangeable Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Finetti: On Causal Effects for Exchangeable Data

    Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszár, Bernhard Schölkopf p127317-127345 from Advances in Neural Information Processing Systems 37
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  • Do LLMs Build World Representations? Probing Through the Lens of State Abstraction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do LLMs Build World Representations? Probing Through the Lens of State Abstraction

    Zichao Li, Yanshuai Cao, Jackie Cheung p98009-98032 from Advances in Neural Information Processing Systems 37
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  • Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

    Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam p67712-67757 from Advances in Neural Information Processing Systems 37
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  • Do Not Marginalize Mechanisms, Rather Consolidate!

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Not Marginalize Mechanisms, Rather Consolidate!

    Moritz Willig, Matej Zecevic, Devendra Dhami, Kristian Kersting p60947-60965 from Advances in Neural Information Processing Systems 36
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  • Do Residual Neural Networks Discretize Neural Ordinary Differential Equations?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Residual Neural Networks Discretize Neural Ordinary Differential Equations?

    Michael Sander, Pierre Ablin, Gabriel Peyré p36520-36532 from Advances in Neural Information Processing Systems 35
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  • Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

    Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo p42775-42798 from Advances in Neural Information Processing Systems 36
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  • Do Students’ Resource Usage Patterns Vary Across Institutions? Implementing a Pedagogical Innovation in an Undergraduate Engineering Course

    Research In Engineering Education Network

    Do Students’ Resource Usage Patterns Vary Across Institutions? Implementing a Pedagogical Innovation in an Undergraduate Engineering Course

    Mohamed Aziz Dridi, Edward Berger, Jeffrey F. Rhoads p214-219 from 10th Research in Engineering Education Symposium (REES 2024)
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  • Do's and Don'ts: Learning Desirable Skills with Instruction Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do's and Don'ts: Learning Desirable Skills with Instruction Videos

    Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo p47741-47766 from Advances in Neural Information Processing Systems 37
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  • Does a sparse ReLU network training problem always admit an optimum ?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does a sparse ReLU network training problem always admit an optimum ?

    Tung Le, Remi Gribonval, Elisa Riccietti p65265-65298 from Advances in Neural Information Processing Systems 36
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