Oceania
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.
Multilabel reductions: what is my loss optimising?
Aditya K. Menon, Ankit Singh Rawat, Sashank Reddi, Sanjiv Kumar
Neural Information Processing Systems http://nips.cc/
Automated Classification of Model Errors on ImageNet
While the ImageNet dataset has been driving computer vision research over the past decade, significant label noise and ambiguity have made top-1 accuracy an insufficient measure of further progress.
Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz, Alina Dubatovka
Neural Information Processing Systems http://nips.cc/
