Deep Learning
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.
5c186016d0844767209dc36e9e61441b-Paper-Conference.pdf
DeMa's focus on sequences diminishes approximately exponentially.
Graphical Generative Adversarial Networks
Chongxuan LI, Max Welling, Jun Zhu, Bo Zhang
Neural Information Processing Systems http://nips.cc/
Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz, Alina Dubatovka
Neural Information Processing Systems http://nips.cc/
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Yixiao Ge, Zhuowan Li, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, hongsheng Li
Neural Information Processing Systems http://nips.cc/
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Niru Maheswaranathan, Alex Williams, Matthew Golub, Surya Ganguli, David Sussillo
Neural Information Processing Systems http://nips.cc/
Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
We also introduce a new Gated Recursive Cell to compose lower levelrepresentations into higher level representation. We demonstrate that our modelachieves strong performance on the logical inference task (Bowman et al., 2015)andtheListOps(NangiaandBowman,2018)task. Wecanalsointerpretthemodelto retrieve the induced tree structure, and find that these induced structures alignwith the ground truth.
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts Supplementary Material
For details on M1-M5, please refer to Appendix B.3.