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Model Architecture

4,351 papers

Papers per year

Papers

Do Input Gradients Highlight Discriminative Features? NIPS 2021
Discrete-Valued Neural Communication NIPS 2021
Circa: Stochastic ReLUs for Private Deep Learning NIPS 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning NIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NIPS 2021
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) NIPS 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning NIPS 2021
Distilling Object Detectors with Feature Richness NIPS 2021
Efficient Equivariant Network NIPS 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NIPS 2021
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems NIPS 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks NIPS 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization NIPS 2021
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks NIPS 2021
Joint Modeling of Visual Objects and Relations for Scene Graph Generation NIPS 2021
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks NIPS 2021
General Nonlinearities in SO(2)-Equivariant CNNs NIPS 2021
Pay Attention to MLPs NIPS 2021
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations NIPS 2021
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NIPS 2021
Deep Learning Through the Lens of Example Difficulty NIPS 2021
Dynamic Inference with Neural Interpreters NIPS 2021
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications NIPS 2021
Controlling Neural Networks with Rule Representations NIPS 2021
Sparse Spiking Gradient Descent NIPS 2021