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Demystifying the Optimal Performance of Multi-Class Classification
Inspired by the work by Ishida et al. (2023), we propose an estimator
Multiview Aggregation for Learning Category-Specific Shape Reconstruction
Srinath Sridhar, Davis Rempe, Julien Valentin, Bouaziz Sofien, Leonidas J. Guibas
Neural Information Processing Systems http://nips.cc/
On Learning Intrinsic Rewards for Policy Gradient Methods
Zeyu Zheng, Junhyuk Oh, Satinder Singh
Whether itispossible tolearn intrinsic reward functions for learning agents remains an open problem.
Rob Ev
Itthencomputesr log (A|s)| = e andupdates 11 and 12). We determined 6.1 Policy Wefirstwithout, in Letting T denote environment 21,22,.
CoresetforLine-SetsClustering
A natural generalization is to replace this input setP of n points by a setP of n sets inX. The distance from such an input setP P to a setC of centers can then be defined as the distance between the closest point-center pair. This problem is calledk-mean for sets; see e.g.
CoresetforLine-SetsClustering
A natural generalization is to replace this input setP of n points by a setP of n sets inX. The distance from such an input setP P to a setC of centers can then be defined as the distance between the closest point-center pair. This problem is calledk-mean for sets; see e.g.
Multiple Futures Prediction
Charlie Tang, Russ R. Salakhutdinov
Neural Information Processing Systems http://nips.cc/
64792f7bd5d400c9ac310c6fef97ef2d-Paper-Conference.pdf
Synthesizing novel photo-realistic views of captured 3D scenes is important for many domains including virtual/augmented reality, video games or movie productions.
A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions
Yuan Deng, Sébastien Lahaie, Vahab Mirrokni
Neural Information Processing Systems http://nips.cc/
From Stochastic Planning to Marginal MAP
Hao(Jackson) Cui, Radu Marinescu, Roni Khardon
Neural Information Processing Systems http://nips.cc/