Papers
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
Arun Suggala, Mladen Kolar, Pradeep K Ravikumar
The Importance of Communities for Learning to Influence
Eric Balkanski, Nicole Immorlica, Yaron Singer
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C Wilson, Rebecca Roelofs, Mitchell Stern et al.
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
Hongyuan Mei, Jason M Eisner
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
The power of absolute discounting: all-dimensional distribution estimation
Moein Falahatgar, Mesrob I Ohannessian, Alon Orlitsky et al.
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan N Gomez, Mengye Ren, Raquel Urtasun et al.
The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang, Yue Lu
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
Krzysztof M Choromanski, Mark Rowland, Adrian Weller
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, Zheng Tian, David Barber
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
Christian Borgs, Jennifer Chayes, Christina E. Lee et al.
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
Kristjan Greenewald, Seyoung Park, Shuheng Zhou et al.
Tomography of the London Underground: a Scalable Model for Origin-Destination Data
Nicolò Colombo, Ricardo Silva, Soong Moon Kang
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
Chengxu Zhuang, Jonas Kubilius, Mitra JZ Hartmann et al.
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak et al.
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin, Cong Zhao, Wei Pan
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran, Kendall Lowrey, Emanuel V. Todorov et al.
Tractability in Structured Probability Spaces
Arthur Choi, Yujia Shen, Adnan Darwiche
Training Deep Networks without Learning Rates Through Coin Betting
Francesco Orabona, Tatiana Tommasi
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu et al.
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
Ingmar Kanitscheider, Ila Fiete
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer, Itay Hubara, Daniel Soudry
Translation Synchronization via Truncated Least Squares
Xiangru Huang, Zhenxiao Liang, Chandrajit Bajaj et al.
Triangle Generative Adversarial Networks
Zhe Gan, Liqun Chen, Weiyao Wang et al.