update README.md

README.md

@@ -73,7 +73,7 @@
   <tr>
     <td><strong>Main</strong></td>
     <td>
-      <!-- 1894/2712 -->
+      <!-- 1899/2712 -->
       <div style="float:left;">
         <img src="https://geps.dev/progress/70?successColor=006600" alt="" />
         <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/completed_checkmark_done.svg" width="25" alt="" />
@@ -2372,12 +2372,24 @@ ICASSP 2024 Papers: A complete collection of influential and exciting research p
             <td>
                 Deep Learning Theory
             </td>
-            <td colspan="4" rowspan="75" align="center"><i>Will soon be added</i></td>
+           <td>
+                <a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/IVMSP-L9.md"><img src="https://img.shields.io/badge/5-42BA16" alt="Papers"></a>
+            </td>
+            <td>
+                <a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/IVMSP-L9.md"><img src="https://img.shields.io/badge/0-b31b1b" alt="Preprints"></a>
+            </td>
+            <td>
+                <a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/IVMSP-L9.md"><img src="https://img.shields.io/badge/1-1D7FBF" alt="Open Code"></a>
+            </td>
+            <td>
+                <a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/IVMSP-L9.md"><img src="https://img.shields.io/badge/0-FF0000" alt="Videos"></a>
+            </td> 
         </tr>
         <tr>
             <td>
                 Anti-Spoofing
             </td>
+            <td colspan="4" rowspan="74" align="center"><i>Will soon be added</i></td>
         </tr>
         <tr>
             <td>

sections/2024/main/IVMSP-L9.md

@@ -34,8 +34,13 @@
 
 ## Deep Learning Theory
 
-![Section Papers](https://img.shields.io/badge/Section%20Papers-0-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-0-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-0-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)
+![Section Papers](https://img.shields.io/badge/Section%20Papers-5-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-0-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-1-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)
 
 | **Title** | **Repo** | **Paper** | **Video** |
 |-----------|:--------:|:---------:|:---------:|
-> Will soon be added
+| Dual Rank-1 Tensor Attention Module for Convolutional Neural Networks | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446465-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446465) | :heavy_minus_sign: |
+| Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447168-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447168) | :heavy_minus_sign: |
+| Self-Supervised Multi-Scale Hierarchical Refinement Method for Joint Learning of Optical Flow and Depth | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447321-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447321) | :heavy_minus_sign: |
+| DAMP: Distribution-Aware Magnitude Pruning for Budget-Sensitive Graph Convolutional Networks | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448148-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448148) | :heavy_minus_sign: |
+| Lighting Image/Video Style Transfer Methods by Iterative Channel Pruning | [![GitHub](https://img.shields.io/github/stars/wukx-wukx/ICCP?style=flat)](https://github.com/wukx-wukx/ICCP) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446950-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446950) | :heavy_minus_sign: |
+| The Devil is in Details: Delving Into Lite FFN Design for Vision Transformers | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447756-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447756) | :heavy_minus_sign: |

sections/2024/main/SLP-L20.md

@@ -0,0 +1,41 @@
+# ICASSP-2024-Papers
+
+<table>
+    <tr>
+        <td><strong>Application</strong></td>
+        <td>
+            <a href="https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers" style="float:left;">
+                <img src="https://img.shields.io/badge/🤗-NewEraAI--Papers-FFD21F.svg" alt="App" />
+            </a>
+        </td>
+    </tr>
+    <tr>
+        <td><strong>Previous Collections</strong></td>
+        <td>
+            <a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/README_2023.md">
+                <img src="http://img.shields.io/badge/ICASSP-2023-0073AE.svg" alt="Conference">
+            </a>
+        </td>
+    </tr>
+</table>
+
+<div align="center">
+    <a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/IVMSP-L9.md">
+        <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/left.svg" width="40" alt="" />
+    </a>
+    <a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/">
+        <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/home.svg" width="40" alt="" />
+    </a>
+    <a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/MMSP-L4.md">
+        <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/right.svg" width="40" alt="" />
+    </a>
+</div>
+
+
+## Anti-Spoofing
+
+![Section Papers](https://img.shields.io/badge/Section%20Papers-0-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-0-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-0-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)
+
+| **Title** | **Repo** | **Paper** | **Video** |
+|-----------|:--------:|:---------:|:---------:|
+> Will soon be added