research
∙
07/11/2023
Neuro-Inspired Efficient Map Building via Fragmentation and Recall
Animals and robots navigate through environments by building and refinin...
share
research
∙
05/01/2023
Model-agnostic Measure of Generalization Difficulty
The measure of a machine learning algorithm is the difficulty of the tas...
research
∙
03/24/2023
Double Descent Demystified: Identifying, Interpreting Ablating the Sources of a Deep Learning Puzzle
Double descent is a surprising phenomenon in machine learning, in which ...
research
∙
06/15/2021
Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations
Recent works have examined how deep neural networks, which can solve a v...
research
∙
02/01/2021
Fast Training of Provably Robust Neural Networks by SingleProp
Recent works have developed several methods of defending neural networks...
research
∙
06/26/2020
Proper Network Interpretability Helps Adversarial Robustness in Classification
Recent works have empirically shown that there exist adversarial example...
research
∙
11/29/2018
