Papers
11,015 papers found
A Generative Model For Electron Paths
John Bradshaw, Matt J. Kusner, Brooks Paige et al.
Aggregated Momentum: Stability Through Passive Damping
James Lucas, Shengyang Sun, Richard Zemel et al.
A Kernel Random Matrix-Based Approach for Sparse PCA
Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo, Huazhe Xu, Yuanzhi Li et al.
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
Jialin Liu, Xiaohan Chen, Zhangyang Wang et al.
A Max-Affine Spline Perspective of Recurrent Neural Networks
Zichao Wang, Randall Balestriero, Richard Baraniuk
A Mean Field Theory of Batch Normalization
Greg Yang, Jeffrey Pennington, Vinay Rao et al.
Amortized Bayesian Meta-Learning
Sachin Ravi, Alex Beatson
Analysing Mathematical Reasoning Abilities of Neural Models
David Saxton, Edward Grefenstette, Felix Hill et al.
Analysis of Quantized Models
Lu Hou, Ruiliang Zhang, James T. Kwok
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone, Jakob Kruse, Carsten Rother et al.
An analytic theory of generalization dynamics and transfer learning in deep linear networks
Andrew K. Lampinen, Surya Ganguli
An Empirical study of Binary Neural Networks' Optimisation
Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane et al.
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva*, Alessandro Sordoni*, Remi Tachet des Combes* et al.
A new dog learns old tricks: RL finds classic optimization algorithms
Weiwei Kong, Christopher Liaw, Aranyak Mehta et al.
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Bo Chang, Minmin Chen, Eldad Haber et al.
ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION
Nuwan Ferdinand, Haider Al-Lawati, Stark Draper et al.
Approximability of Discriminators Implies Diversity in GANs
Yu Bai, Tengyu Ma, Andrej Risteski
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Wieland Brendel, Matthias Bethge
Are adversarial examples inevitable?
Ali Shafahi, W. Ronny Huang, Christoph Studer et al.
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin, Mingyuan Zhou
A rotation-equivariant convolutional neural network model of primary visual cortex
Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis et al.
A Statistical Approach to Assessing Neural Network Robustness
Stefan Webb, Tom Rainforth, Yee Whye Teh et al.
Attention, Learn to Solve Routing Problems!
Wouter Kool, Herke van Hoof, Max Welling
Attentive Neural Processes
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz et al.