Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Kafnets: kernel-based non-parametric activation functions for neural networks
Empirical Evaluation of Rectified Activations in Convolutional Network
The Reversible Residual Network: Backpropagation Without Storing Activations
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks
Stochastic choice of basis functions in adaptive function approximation and the functional-link net
Generalised Kernel Machines
A Generalization Method of Partitioned Activation Function for Complex Number
Cavs: An Efficient Runtime System for Dynamic Neural Networks
Efficient FPGA Implementation of Sigmoid and Bipolar Sigmoid Activation Functions for Multilayer Perceptrons
THE FORGETRON: A KERNEL-BASED PERCEPTRON ON A BUDGET
Complex convolution Kernel for deep networks
Random feature maps for dot product kernels
Nearest Neighbour Radial Basis Function Solvers for Deep Neural Networks
A Study on Sigmoid Kernels for SVM and the Training of non-PSD Kernels by SMO-type Methods
siamese networks for one shot learning using kernel based activation functions .
Neural Nearest Neighbors Networks
Boolean Neural Networks
Activation Ensembles for Deep Neural Networks
SnaPEA: Predictive Early Activation for Reducing Computation in Deep Convolutional Neural Networks
Deep, Skinny Neural Networks are not Universal Approximators
Large-Scale Kernel Machines
Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory
Collaborative Analytics and Brokering in Digital Humanitarian Response
FPGA IMPLEMENTATION FOR ELLIPTIC CURVE CRYPTOGRAPHY OVER BINARY EXTENSION FIELD
Fast Food Consumption and Breakfast Skipping: Predictors of Weight Gain from Adolescence to Adulthood in a Nationally Representative Sample
Boosted MMI for model and feature-space discriminative training