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Model Architecture

4,354 papers

Papers per year

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Papers

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
Residual Relaxation for Multi-view Representation Learning NIPS 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NIPS 2021
Glance-and-Gaze Vision Transformer NIPS 2021
Towards Stable and Robust AdderNets NIPS 2021
Learning Transferable Adversarial Perturbations NIPS 2021
Attention Bottlenecks for Multimodal Fusion NIPS 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation NIPS 2021
Improving Calibration through the Relationship with Adversarial Robustness NIPS 2021
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks NIPS 2021
Hard-Attention for Scalable Image Classification NIPS 2021
Structured Dropout Variational Inference for Bayesian Neural Networks NIPS 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification NIPS 2021
Augmented Shortcuts for Vision Transformers NIPS 2021
Transformer in Transformer NIPS 2021
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings NIPS 2021
Deformable Butterfly: A Highly Structured and Sparse Linear Transform NIPS 2021
Rethinking the Pruning Criteria for Convolutional Neural Network NIPS 2021
Learning with Algorithmic Supervision via Continuous Relaxations NIPS 2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space NIPS 2021
Graph Differentiable Architecture Search with Structure Learning NIPS 2021
Relaxing Local Robustness NIPS 2021
Scatterbrain: Unifying Sparse and Low-rank Attention NIPS 2021