HAND: A Biologically-Inspired Activation Function that Improves Generalisation and Sample Efficiency in Image Classification
cs.CV, cs.LG
Submitted: 2026-10-08
Updated: 2026-10-08
Code: https://github.com/pytorch/vision
Terminology
Sources
- Synthesizing Robust Adversarial Examples
- Layer Normalization
- Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
- On Evaluating Adversarial Robustness
- WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
- Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
- Analyzing Redundancy in Pretrained Transformer Models
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
- Generalisation in humans and deep neural networks
- Partial success in closing the gap between human and machine vision
- Deep Residual Learning for Image Recognition
- Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
- Deep Anomaly Detection with Outlier Exposure
- Natural Adversarial Examples
- Scaling Out-of-Distribution Detection for Real-World Settings
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- Universal Approximation with Deep Narrow Networks
- Gradient-Based Adversarial and Out-of-Distribution Detection
- A ConvNet for the 2020s
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