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d55cbf210f175f4a37916eafe6c04f0d-Paper.pdf
Forexample,nested MC (NMC) can only achieve, at best, a rate ofO(T 1/3) in the total computational costT [33], comparedwithO(T 1/2)forconventionalMC.
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Hoda Heidari, Claudio Ferrari, Krishna Gummadi, Andreas Krause
Alsoas expected, smaller values (i.e. See Proposition 4 in Appendix B, whereweformallyprovethis specialcaseoflinearpredictors.
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry P. Vetrov, Andrew G. Wilson
The loss functions of deep neural networks are complex and their geometric properties are not well understood.
Optimal Transport-Guided Conditional Score-Based Diffusion Model Xiang Gu1, Liwei Y ang
Conditional score-based diffusion model (SBDM) is for conditional generation of target data with paired data as condition, and has achieved great success in image translation. However, it requires the paired data as condition, and there would be insufficient paired data provided in real-world applications.
Exploring Token Pruning in Vision State Space Models
We first introduce a pruning-aware hidden state alignment method to stabilize the neighborhood of remaining tokens for performance enhancement.
Binary Classification from Positive-Confidence Data
Takashi Ishida, Gang Niu, Masashi Sugiyama
Neural Information Processing Systems http://nips.cc/
Sim2real transfer learning for 3D human pose estimation: motion to the rescue
Carl Doersch, Andrew Zisserman
Synthetic visual data can provide practically infinite diversity and rich labels, while avoiding ethical issues with privacy and bias.