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Model Architecture

4,354 papers

Papers per year

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Papers

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NIPS 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NIPS 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NIPS 2020
Evolving Normalization-Activation Layers NIPS 2020
Directional Pruning of Deep Neural Networks NIPS 2020
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NIPS 2020
Graph Cross Networks with Vertex Infomax Pooling NIPS 2020
Rational neural networks NIPS 2020
Task-Oriented Feature Distillation NIPS 2020
AdaTune: Adaptive Tensor Program Compilation Made Efficient NIPS 2020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization NIPS 2020
PLLay: Efficient Topological Layer based on Persistent Landscapes NIPS 2020
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough NIPS 2020
Design Space for Graph Neural Networks NIPS 2020
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration NIPS 2020
Pruning Filter in Filter NIPS 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling NIPS 2020
What if Neural Networks had SVDs? NIPS 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks NIPS 2020
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NIPS 2020
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation NIPS 2020
Hypersolvers: Toward Fast Continuous-Depth Models NIPS 2020
A Group-Theoretic Framework for Data Augmentation NIPS 2020
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians NIPS 2020
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NIPS 2020