Model Architecture

Differentiable Cloth Simulation for Inverse Problems NeurIPS 2019 Differentiable Kernel Evolution ICCV 2019 Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks ICCV 2019 Differentiable Learning-to-Normalize via Switchable Normalization ICLR 2019 Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem UAI 2019 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019 Diffusion Scattering Transforms on Graphs ICLR 2019 Discovering Neural Wirings NeurIPS 2019 Distraction-Aware Shadow Detection CVPR 2019 DL2: Training and Querying Neural Networks with Logic ICML 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network ICLR 2019 Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution ICCV 2019 DSConv: Efficient Convolution Operator ICCV 2019 Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration CVPR 2019 Dynamic Feature Fusion for Semantic Edge Detection IJCAI 2019 Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement AAAI 2019 Dynamic Sparse Graph for Efficient Deep Learning ICLR 2019 Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network ICCV 2019 Efficient Forward Architecture Search NeurIPS 2019 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019 Efficient Neural Network Compression CVPR 2019 Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019 EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis ICML 2019 EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch CVPR 2019 Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution ICCV 2019