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Model Architecture

4,351 papers

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Papers

Unfolding Taylor's Approximations for Image Restoration NIPS 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework NIPS 2021
Boost Neural Networks by Checkpoints NIPS 2021
Chasing Sparsity in Vision Transformers: An End-to-End Exploration NIPS 2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information NIPS 2021
Generic Neural Architecture Search via Regression NIPS 2021
Adaptive wavelet distillation from neural networks through interpretations NIPS 2021
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks NIPS 2021
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks NIPS 2021
Deep Residual Learning in Spiking Neural Networks NIPS 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks NIPS 2021
Rethinking Graph Transformers with Spectral Attention NIPS 2021
Combiner: Full Attention Transformer with Sparse Computation Cost NIPS 2021
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network NIPS 2021
Encoding Spatial Distribution of Convolutional Features for Texture Representation NIPS 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NIPS 2021
Adaptive Denoising via GainTuning NIPS 2021
Efficient Combination of Rematerialization and Offloading for Training DNNs NIPS 2021
Training Neural Networks with Fixed Sparse Masks NIPS 2021
MLP-Mixer: An all-MLP Architecture for Vision NIPS 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks NIPS 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks NIPS 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers NIPS 2021
Second-Order Neural ODE Optimizer NIPS 2021
Tensor Normal Training for Deep Learning Models NIPS 2021