Asia
Predictive Uncertainty Estimation via Prior Networks
Neural Information Processing Systems http://nips.cc/
TrainingwithMoreConfidence: MitigatingInjected andNaturalBackdoorsDuringTraining
Researchers find that DNNs trained on benign data and settings can also learn backdoor behaviors, which is known as the natural backdoor.
RevisitingOptimalConvergenceRateforSmoothand Non-convexStochasticDecentralizedOptimization
Weight matrix and connectivity measure.Assumencomputing nodes are connected by some
7990ec44fcf3d7a0e5a2add28362213c-Paper.pdf
We propose in this paper a general framework for deriving loss functions for structured prediction. Inourframework,theuserchooses aconvexsetincluding the output space and provides an oracle forprojectingonto that set.
Approximation algorithms for stochastic clustering
David Harris, Shi Li, Aravind Srinivasan, Khoa Trinh, Thomas Pensyl
Neural Information Processing Systems http://nips.cc/
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
Chuan Guo, Ali Mousavi, Xiang Wu, Daniel N. Holtmann-Rice, Satyen Kale, Sashank Reddi, Sanjiv Kumar
Neural Information Processing Systems http://nips.cc/