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Model Architecture

4351 directly classified papers

Papers per year

Papers

DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling NIPS 2020
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration NIPS 2020
Structured Convolutions for Efficient Neural Network Design NIPS 2020
Revisiting Parameter Sharing for Automatic Neural Channel Number Search NIPS 2020
Deep Isometric Learning for Visual Recognition ICML 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions ICML 2020
Interpolation between Residual and Non-Residual Networks ICML 2020
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough NIPS 2020
Task-Oriented Feature Distillation NIPS 2020
Evolving Normalization-Activation Layers NIPS 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices NIPS 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NIPS 2020
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point NIPS 2020
AutoBSS: An Efficient Algorithm for Block Stacking Style Search NIPS 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures NIPS 2020
Multi-Domain Dialogue Acts and Response Co-Generation ACL 2020
Differentiable Product Quantization for End-to-End Embedding Compression ICML 2020
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians NIPS 2020
Neural Networks Fail to Learn Periodic Functions and How to Fix It NIPS 2020
FleXOR: Trainable Fractional Quantization NIPS 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks NIPS 2020
Post-training Iterative Hierarchical Data Augmentation for Deep Networks NIPS 2020
Neuron Merging: Compensating for Pruned Neurons NIPS 2020
Theory-Inspired Path-Regularized Differential Network Architecture Search NIPS 2020