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residual network

242 papers

RESNET

Papers

MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition Interspeech 2020 Multi-Scale Convolution for Robust Keyword Spotting Interspeech 2020 N-BEATS: Neural basis expansion analysis for interpretable time series forecasting ICLR 2020 Non-Parallel Many-to-Many Voice Conversion with PSR-StarGAN Interspeech 2020 On the Global Convergence of Training Deep Linear ResNets ICLR 2020 Person Tube Retrieval via Language Description AAAI 2020 Regularization on Spatio-Temporally Smoothed Feature for Action Recognition CVPR 2020 Reinforcing Neural Network Stability with Attractor Dynamics AAAI 2020 Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NeurIPS 2020 Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach AAAI 2020 Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets ICLR 2020 Speaker Representation Learning Using Global Context Guided Channel and Time-Frequency Transformations Interspeech 2020 The INTERSPEECH 2020 Far-Field Speaker Verification Challenge Interspeech 2020 Towards Adaptive Residual Network Training: A Neural-ODE Perspective ICML 2020 Unique Properties of Flat Minima in Deep Networks ICML 2020 URNet: User-Resizable Residual Networks with Conditional Gating Module AAAI 2020 Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective NeurIPS 2020 Wide Hidden Expansion Layer for Deep Convolutional Neural Networks WACV 2020 A Deep Residual Network for Large-Scale Acoustic Scene Analysis Interspeech 2019 Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks NeurIPS 2019 An End-to-End Audio Classification System Based on Raw Waveforms and Mix-Training Strategy Interspeech 2019 ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs IJCAI 2019 ANODEV2: A Coupled Neural ODE Framework NeurIPS 2019 Approximation and non-parametric estimation of ResNet-type convolutional neural networks ICML 2019 Are deep ResNets provably better than linear predictors? NeurIPS 2019