Papers
11,951 papers found
Top-Down Neural Model For Formulae
Karel Chvalovský
Topology Optimization based Graph Convolutional Network
Liang Yang, Zesheng Kang, Xiaochun Cao et al.
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani, Colin Raffel, Luke Metz
Towards Metamerism via Foveated Style Transfer
Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
Towards Robust, Locally Linear Deep Networks
Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
Towards the first adversarially robust neural network model on MNIST
Lukas Schott, Jonas Rauber, Matthias Bethge et al.
Towards Understanding Regularization in Batch Normalization
Ping Luo, Xinjiang Wang, Wenqi Shao et al.
Toward Understanding the Impact of Staleness in Distributed Machine Learning
Wei Dai, Yi Zhou, Nanqing Dong et al.
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Y. Xiao, Vincent Tjeng, Nur Muhammad (Mahi) Shafiullah et al.
Transfer Learning for Sequences via Learning to Collocate
Wanyun Cui, Guangyu Zheng, Zhiqiang Shen et al.
Transferring Knowledge across Learning Processes
Sebastian Flennerhag, Pablo G. Moreno, Neil D. Lawrence et al.
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling
Josue Nassar, Scott Linderman, Monica Bugallo et al.
Trellis Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
Two-Timescale Networks for Nonlinear Value Function Approximation
Wesley Chung, Somjit Nath, Ajin Joseph et al.
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
David Berthelot*, Colin Raffel*, Aurko Roy et al.
Understanding Composition of Word Embeddings via Tensor Decomposition
Abraham Frandsen, Rong Ge
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin, Jiancheng Lyu, Shuai Zhang et al.
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi et al.
Universal Successor Features Approximators
Diana Borsa, Andre Barreto, John Quan et al.
Universal Transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals et al.
Unsupervised Adversarial Image Reconstruction
Arthur Pajot, Emmanuel de Bezenac, Patrick Gallinari
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni et al.
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu*, Zhijian Liu*, Chen Sun et al.
Unsupervised Domain Adaptation for Distance Metric Learning
Kihyuk Sohn, Wenling Shang, Xiang Yu et al.
Unsupervised Hyper-alignment for Multilingual Word Embeddings
Jean Alaux, Edouard Grave, Marco Cuturi et al.