Paper

  • 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?

    Orhan Firat, Ankush Garg, Behrooz Ghorbani, Justin Gilmer, Derrick Xin 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, Ferenc Huszár, Karthika Mohan, Bernhard Schölkopf, Chi Zhang 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

    Yanshuai Cao, Jackie Cheung, Zichao Li 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

    Bryon Aragam, Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar 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!

    Devendra Dhami, Kristian Kersting, Moritz Willig, Matej Zecevic 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?

    Pierre Ablin, Gabriel Peyré, Michael Sander 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

    Florian Bordes, Kamalika Chaudhuri, Chuan Guo, Casey Meehan, Pascal Vincent 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

    Jaegul Choo, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Byungkun Lee, Hojoon Lee 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 ?

    Remi Gribonval, Tung Le, Elisa Riccietti p65265-65298 from Advances in Neural Information Processing Systems 36
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  • Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework

    Hisao Ishibuchi, Mingchen Jiang, Weiduo Liao, Ying Wei, Qingfu Zhang p33499-33513 from Advances in Neural Information Processing Systems 36
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  • Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors

    Jiashi Gao, Ziwei Wang, Xuetao Wei, Xin Yao, Xiangyu Zhao p47849-47875 from Advances in Neural Information Processing Systems 37
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