2020.6.29 Neural papers

 

06-23-2020

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
by Julien Launay et al

06-24-2020

The NetHack Learning Environment
by Heinrich Küttler et al

06-25-2020

Smooth Adversarial Training
by Cihang Xie et al

06-25-2020

SACT: Self-Aware Multi-Space Feature Composition Transformer for Multinomial Attention for Video Captioning
by Chiranjib Sur

06-23-2020

Principal Component Networks: Parameter Reduction Early in Training
by Roger Waleffe et al

06-23-2020

NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks
by Eugene Lee et al

06-24-2020

Crossmodal Language Grounding in an Embodied Neurocognitive Model
by Stefan Heinrich et al

06-23-2020

Learning Physical Constraints with Neural Projections
by Shuqi Yang et al

06-24-2020

AReLU: Attention-based Rectified Linear Unit
by Dengsheng Chen et al

06-25-2020

Self-Segregating and Coordinated-Segregating Transformer for Focused Deep Multi-Modular Network for Visual Question Answering
by Chiranjib Sur

06-26-2020

Continual Learning from the Perspective of Compression
by Xu He et al

06-23-2020

Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences
by Laureline Logiaco et al

06-25-2020

Fast and stable MAP-Elites in noisy domains using deep grids
by Manon Flageat et al

06-25-2020

Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication
by Ojas Parekh et al

06-25-2020

Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems
by Vera Steinhoff et al

06-26-2020

Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster
by Andreas Klos et al

06-25-2020

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence
by Arianna Rubino et al

06-25-2020

Tensor Programs II: Neural Tangent Kernel for Any Architecture
by Greg Yang

06-26-2020

Biologically Plausible Learning of Text Representation with Spiking Neural Networks
by Marcin Białas et al

06-25-2020

The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
by Wei Hu et al

06-25-2020

Learning compositional functions via multiplicative weight updates
by Jeremy Bernstein et al

06-25-2020

Q-NET: A Formula for Numerical Integration of a Shallow Feed-forward Neural Network
by Kartic Subr

06-23-2020

Maximizing Submodular or Monotone Functions under Partition Matroid Constraints by Multi-objective Evolutionary Algorithms
by Anh Viet Do et al

06-23-2020

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware
by Johannes Weis et al

06-23-2020

Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning
by Donghyeon Han et al

06-23-2020

hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware
by Philipp Spilger et al

06-24-2020

Architopes: An Architecture Modification for Composite Pattern Learning, Increased Expressiveness, and Reduced Training Time
by Anastasis Kratsios et al

06-23-2020

Particle Swarm Optimization for Energy Disaggregation in Industrial and Commercial Buildings
by Karoline Brucke et al

 
Craig Smith