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Model Architecture

4351 directly classified papers

Papers per year

Papers

REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation AAAI 2020
EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition AAAI 2020
Deep Residual-Dense Lattice Network for Speech Enhancement AAAI 2020
High Performance Depthwise and Pointwise Convolutions on Mobile Devices AAAI 2020
Linear Context Transform Block AAAI 2020
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface AAAI 2020
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020
Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020
Neural Cages for Detail-Preserving 3D Deformations CVPR 2020
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search CVPR 2020
HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020
Auxiliary Training: Towards Accurate and Robust Models CVPR 2020
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers CVPR 2020
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NIPS 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020
What if Neural Networks had SVDs? NIPS 2020
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction CVPR 2020
On the Regularization Properties of Structured Dropout CVPR 2020
Pruning Filter in Filter NIPS 2020
Design Space for Graph Neural Networks NIPS 2020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization NIPS 2020
Rational neural networks NIPS 2020
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NIPS 2020
PolyTransform: Deep Polygon Transformer for Instance Segmentation CVPR 2020