Africa
Characterizing Bias in Classifiers using Generative Models
Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor
Models that are learned from real-world data are often biased because the data usedtotrainthemisbiased.
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
Osman Asif Malik, Stephen Becker
Neural Information Processing Systems http://nips.cc/
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
We revisit data selection in a modern context of finetuning from a fundamental perspective.
DoResidualNeuralNetworksdiscretizeNeural OrdinaryDifferentialEquations?
Neural ODEs also provide atheoretical framework to study deep learning models from the continuous viewpoint, using the arsenal of ODE theory [40, 25, 41]. Importantly, they can also be seen as the continuous analog of ResNets.
The Cluster Description Problem - Complexity Results, Formulations and Approximations
Ian Davidson, Antoine Gourru, S Ravi
Neural Information Processing Systems http://nips.cc/
