Oceania
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Fred Roosta, Peng Xu, Michael W. Mahoney
Neural Information Processing Systems http://nips.cc/
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay Pande, Jure Leskovec
Neural Information Processing Systems http://nips.cc/
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Robert Gower, Filip Hanzely, Peter Richtarik, Sebastian U. Stich
Neural Information Processing Systems http://nips.cc/
Partially-Supervised Image Captioning
Peter Anderson, Stephen Gould, Mark Johnson
Neural Information Processing Systems http://nips.cc/
5c7465e4a236b56226ca221f3d16bf2b-Paper-Conference.pdf
Text-to-Image (T2I) has witnessed significant advancements, demonstrating superior performance for various generative tasks.
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation
Shivapratap Gopakumar, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh
Neural Information Processing Systems http://nips.cc/
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence
Fengxiang He, Tongliang Liu, Dacheng Tao
LetS bethe independently {1,2,...,}, whereN is Thensimilar S is ˆgS( (t)) =r (t) ˆR( (t)) = 1 |S| X International [12] K. He, Confer [13] K. He, confer, 2016.