2020.7.6 Neural papers

 

06-30-2020

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
by Sarthak Mittal et al

07-02-2020

Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
by Shail Dave et al

07-02-2020

MPLP: Learning a Message Passing Learning Protocol
by Ettore Randazzo et al

07-02-2020

A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
by Boyu Zhang et al

07-02-2020

Are there any object detectors in the hidden layers of CNNs trained to identify objects or scenes?
by Ella M. Gale et al

07-02-2020

PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors
by Ziqiang Li et al

07-02-2020

Persistent Neurons
by Yimeng Min

06-30-2020

Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation
by Yoel Zeldes et al

06-30-2020

A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization
by Benjamin Doerr et al

06-30-2020

A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing
by Du Xiaorui et al

07-02-2020

Learn Faster and Forget Slower via Fast and Stable Task Adaptation
by Farshid Varno et al

07-03-2020

Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
by Bin Wang et al

07-01-2020

Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
by Timothée Lesort

07-02-2020

Decoder-free Robustness Disentanglement without (Additional) Supervision
by Yifei Wang et al

07-03-2020

Ground Truth Free Denoising by Optimal Transport
by Sören Dittmer et al

07-03-2020

Continuously Indexed Domain Adaptation
by Hao Wang et al

06-30-2020

Enabling Continual Learning with Differentiable Hebbian Plasticity
by Vithursan Thangarasa et al

06-30-2020

Terahertz Pulse Shaping Using Diffractive Legos
by Muhammed Veli et al

07-02-2020

Modelling Drosophila Motion Vision Pathways for Decoding the Direction of Translating Objects Against Cluttered Moving Backgrounds
by Qinbing Fu et al

07-02-2020

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
by Jibin Wu et al

06-30-2020

Spiking Associative Memory for Spatio-Temporal Patterns
by Simon Davidson et al

07-01-2020

Few-shots Parameter Tuning via Co-evolution
by Ke Tang et al

06-30-2020

Training highly effective connectivities within neural networks with randomly initialized, fixed weights
by Cristian Ivan et al

07-01-2020

Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges
by Ramses Sala et al

07-02-2020

High Dimensional Bayesian Optimization Assisted by Principal Component Analysis
by Elena Raponi et al

 
Craig Smith