2020.6.15 Neural papers

 

06-09-2020

A bio-inspired bistable recurrent cell allows for long-lasting memory
by Nicolas Vecoven et al

06-11-2020

Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks
by Nataniel Ruiz et al

06-09-2020

Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
by Edgar Galván et al

06-09-2020

Physically constrained short-term vehicle trajectory forecasting with naive semantic maps
by Albert Dulian et al

06-11-2020

Training Generative Adversarial Networks with Limited Data
by Tero Karras et al

06-12-2020

Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition
by Miltiadis Poursanidis et al

06-11-2020

Growing Artificial Neural Networks
by John Mixter et al

06-12-2020

A Practical Sparse Approximation for Real Time Recurrent Learning
by Jacob Menick et al

06-11-2020

Online Sequential Extreme Learning Machines: Features Combined From Hundreds of Midlayers
by Chandra Swarathesh Addanki

06-10-2020

Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection
by Abenezer Girma et al

06-11-2020

Sensorimotor Visual Perception on Embodied System Using Free Energy Principle
by Kanako Esaki et al

06-11-2020

Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks
by Viktor Yanush et al

06-11-2020

Is deep learning necessary for simple classification tasks?
by Joseph D. Romano et al

06-11-2020

G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning
by Jiawei Zhang

06-12-2020

Understanding the Role of Training Regimes in Continual Learning
by Seyed Iman Mirzadeh et al

06-11-2020

Directional convergence and alignment in deep learning
by Ziwei Ji et al

06-11-2020

A Novel Meta-Heuristic Optimization Algorithm Inspired by the Spread of Viruses
by Zhixi Li et al

06-10-2020

Bayesian Experience Reuse for Learning from Multiple Demonstrators
by Michael Gimelfarb et al

06-11-2020

Complementary Visual Neuronal Systems Model for Collision Sensing
by Qinbing Fu et al

06-12-2020

Power Consumption Variation over Activation Functions
by Leon Derczynski

06-10-2020

OpEvo: An Evolutionary Method for Tensor Operator Optimization
by Xiaotian Gao et al

06-11-2020

Self-organization of multi-layer spiking neural networks
by Guruprasad Raghavan et al

06-11-2020

Ansor : Generating High-Performance Tensor Programs for Deep Learning
by Lianmin Zheng et al

06-11-2020

Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks
by Bálint Daróczy

06-12-2020

Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate
by Benjamin Cramer et al

06-09-2020

Better Together: Resnet-50 accuracy with 13x13x fewer parameters and at 3x3x speed
by Utkarsh Nath et al

06-11-2020

Few-shot Neural Architecture Search
by Yiyang Zhao et al

06-11-2020

Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case
by Diederick Vermetten et al

06-11-2020

GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
by Nasir Ahmad et al

06-11-2020

Blissful Ignorance: Anti-Transfer Learning for Task Invariance
by Eric Guizzo et al

06-09-2020

An Efficient Accelerator Design Methodology for Deformable Convolutional Networks
by Saehyun Ahn et al

06-10-2020

Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE Using OxRAM Crossbar
by Sandeep Kaur Kingra et al

06-10-2020

Benchmarking a (μ+λ)(μ+λ) Genetic Algorithm with Configurable Crossover Probability
by Furong Ye et al

06-11-2020

Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
by Adarsha Balaji et al

06-10-2020

Improving Dependability of Neuromorphic Computing With Non-Volatile Memory
by Shihao Song et al

06-12-2020

Improved Fixed-Budget Results via Drift Analysis
by Timo Kötzing et al

06-11-2020

Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization -- applied to brachytherapy treatment planning for prostate cancer
by S. C. Maree et al

 
Craig Smith