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Notes for Deep Learning Specialization Courses led by Andrew Ng.
Created
2020-12-19
13 commits to main branch, last one 2 years ago
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
forgetting
overfitting
deep-learning
meta-learning
model-attacks
generative-model
machine-learning
coreset-selection
domain-adaptation
continual-learning
federated-learning
machine-unlearning
beneficial-forgetting
reinforcement-learning
catastrophic-forgetting
model-inversion-attacks
self-supervised-learning
property-inference-attacks
membership-inference-attacks
data-free-knolwedge-distillation
Created
2023-07-03
134 commits to main branch, last one 8 days ago
A new test set for ImageNet
Created
2019-02-12
9 commits to master branch, last one about a year ago
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
Created
2020-02-22
10 commits to master branch, last one 3 years ago
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Created
2017-06-26
658 commits to master branch, last one 2 days ago
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
Created
2022-05-17
1 commits to main branch, last one 2 years ago
[ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
Created
2021-01-13
12 commits to main branch, last one 3 years ago
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
Created
2023-01-19
57 commits to main branch, last one 2 months ago