Updated on 2024-12-26

Author: lxaw

papers/list.json

@@ -1,4 +1,13 @@
 [
+  {
+    "title": "All are Worth Words: A ViT Backbone for Diffusion Models",
+    "author": "Fan Bao et al",
+    "year": "2023",
+    "topic": "diffusion, vit",
+    "venue": "Arxiv",
+    "description": "This paperdesigns a general ViT-based architecture for diffusion models. Notably, it treats all inputs (time, condition, noisy image patches) as tokens and uses long skip connections between the shallow and deep layers.",
+    "link": "https://arxiv.org/pdf/2209.12152"
+  },
   {
     "title": "SliceGPT: Compress Large Language Models by Deleting Rows and Columns",
     "author": "Saleh Ashkboos et al",

papers_read.html

@@ -16,10 +16,10 @@ <h1>Here's where I keep a list of papers I have read.</h1>
         I typically use this to organize papers I found interesting. Please feel free to do whatever you want with it. Note that this is not every single paper I have ever read, just a collection of ones that I remember to put down.
     </p>
     <p id="paperCount">
-        So far, we have read 192 papers. Let's keep it up!
+        So far, we have read 193 papers. Let's keep it up!
     </p> 
     <small id="searchCount">
-        Your search returned 192 papers. Nice! 
+        Your search returned 193 papers. Nice! 
     </small>
 
     <div class="search-inputs">
@@ -46,6 +46,16 @@ <h1>Here's where I keep a list of papers I have read.</h1>
         </thead>
         <tbody>
 
+            <tr>
+                <td>All are Worth Words: A ViT Backbone for Diffusion Models</td>
+                <td>Fan Bao et al</td>
+                <td>2023</td>
+                <td>diffusion, vit</td>
+                <td>Arxiv</td>
+                <td>This paperdesigns a general ViT-based architecture for diffusion models. Notably, it treats all inputs (time, condition, noisy image patches) as tokens and uses long skip connections between the shallow and deep layers.</td>
+                <td><a href="https://arxiv.org/pdf/2209.12152" target="_blank">Link</a></td>
+            </tr>
+        
             <tr>
                 <td>SliceGPT: Compress Large Language Models by Deleting Rows and Columns</td>
                 <td>Saleh Ashkboos et al</td>