Europe
Hy pergraph-enhanced Tabular Data Representation Learning Pei Chen
Tabular data that is organized in bi-dimensional matrices are widespread in webpages, documents, and databases.
Referring Human Pose and Mask Estimation in the Wild Bo Miao
This new task holds significant potential for human-centric applications such as assistive robotics and sports analysis.
PruningNeuralNetworksviaCoresetsandConvex Geometry: TowardsNoAssumptions
Pruning is one of the predominant approaches for compressing deep neural networks (DNNs).
PruningNeuralNetworksviaCoresetsandConvex Geometry: TowardsNoAssumptions
Pruning is one of the predominant approaches for compressing deep neural networks (DNNs).
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications Robert Tjarko Lange
Recently, the Deep Learning community has become interested in evolutionary optimization (EO) as a means to address hard optimization problems, e.g.
On Oracle-Efficient PAC RL with Rich Observations
Christoph Dann, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford, Robert E. Schapire
Neural Information Processing Systems http://nips.cc/
Conformal Prediction Under Covariate Shift
Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel Candes, Aaditya Ramdas
Neural Information Processing Systems http://nips.cc/
