From 9990c9c92d9d6ad89b783543679d16bbc8e9eff9 Mon Sep 17 00:00:00 2001 From: Ziyao Guo <103924255+GzyAftermath@users.noreply.github.com> Date: Fri, 6 Oct 2023 16:10:17 +0800 Subject: [PATCH] Update index.html --- index.html | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/index.html b/index.html index 463fb7f..4ef3323 100644 --- a/index.html +++ b/index.html @@ -228,7 +228,7 @@

Overview

Dataset Distillation aims at synthesizing a small synthetic dataset such that a model trained on this synthetic set will perform equally well as a model trained on the full, real dataset. Until now, no Dataset Distillation method has reached this completely lossless goal, in part due to the - fact that previous methods only remain effective when the size of synthetic dataset is extremely + fact that previous methods only remain effective when the size of the synthetic dataset is extremely small.

@@ -305,14 +305,14 @@

Visualization

What do easy patterns and hard patterns look like?

- Here we visualize the images synthesized by matching early and late trajectories, where easy patterns and hard patterns are embedded respectively. + Here we visualize the images synthesized by matching early and late trajectories, where easy patterns and hard patterns are embedded into the synthetic data respectively.

- As can be observed, matching early trajectories will blend the target object into the background and blur the details, which help DNNs to learn to identify commen (easy) samples according to their basic patterns. + As can be observed, matching early trajectories will blend the target object into the background and blur the details, which helps DNNs to learn to identify common (easy) samples according to their basic patterns.

- Conversely, matching late trajectories will give more detials about the target, which help DNNs to learn to identify the outlier (hard) samples. + Conversely, matching late trajectories will give more details about the target, which helps DNNs to learn to identify the outlier (hard) samples.

@@ -399,4 +399,4 @@

BibTeX

- \ No newline at end of file +