Asia
Taming the Long Tail in Human Mobility Prediction
This often results in data being sparse and biased towards popular locations, exhibiting a severe long-tail effect.
Appendix for You Only Condense Once: Two Rules for Pruning Condensed Datasets
The augmentations include: Color: adjusts the brightness, saturation, and contrast of images. Flip: flips the images horizontally with a probability of 0.5. It happens at a probability of 0.5. The first part is the update of the synthetic images. The second part is the update of the network.
Efficient Rematerialization for Deep Networks
Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua Wang
When training complex neural networks, memory usage can be an important bottleneck.
Fully Dynamic Consistent Facility Location
Vincent Cohen-Addad, Niklas Oskar D. Hjuler, Nikos Parotsidis, David Saulpic, Chris Schwiegelshohn
Neural Information Processing Systems http://nips.cc/
Adaptively Aligned Image Captioning via Adaptive Attention Time
Lun Huang, Wenmin Wang, Yaxian Xia, Jie Chen
AATallowstheframeworktolearn howmany attention steps to take to output a caption word at each decoding step. With AAT, an image region can be mapped to an arbitrary number of caption words while a caption word can also attend to an arbitrary number of image regions. AAT is deterministic and differentiable, and doesn't introduce any noise to the parameter gradients.