add linkes to slidesg

neurips23.html

@@ -256,13 +256,15 @@ <h2>
     <section id="winners" class="results">
       <div class="container content-section">
         <div class="title">
-          <h2>Track Winners</h2>
+          <h2>Track Winners and Presentations</h2>
         </div>
 
         <h4>Filtered Search</h4>
         <ul class="result-list">
           <li>
-            <span><a href="https://github.com/harsha-simhadri/big-ann-benchmarks/tree/main/neurips23/filter/parlayivf">ParlayANN IVF<sup>2</sup></a></span>: Fusing Classic and Spatial Inverted Indices for Fast Filtered ANNS
+            <span><a href="https://github.com/harsha-simhadri/big-ann-benchmarks/tree/main/neurips23/filter/parlayivf">ParlayANN IVF<sup>2</sup></a></span>: 
+            Fusing Classic and Spatial Inverted Indices for Fast Filtered ANNS
+            <a href="neurips23_slides/IVF_2_filter_Ben.pdf">[slides]</a>
             <span class="authors"><span>Authors</span>: Ben Landrum (UMD), Magdalen Dobson Manohar (CMU), Mazin Karjikar (UMD), Laxman Dhulipala (UMD)</span>
           </li>
         </ul>
@@ -296,12 +298,36 @@ <h4>Streaming Search</h4>
         <ul class="result-list">
           <li>
             <span><a href="https://github.com/harsha-simhadri/big-ann-benchmarks/tree/main/neurips23/streaming/puck">Puck</a></span>: 
-              Efficient Multi-level Index Structure for Approximate Nearest Neighbor Search in Practice<br/>
+              Efficient Multi-level Index Structure for Approximate Nearest Neighbor Search in Practice
+              <a href="neurips23_slides/streaming_puck_baidu.pptx">[slides]</a>
               <span class="authors"><span>Authors</span>: Jie Yin, Ben Huang, Baidu.</span>
           </li>
         </ul>
         <p></p>^M
         <sup>*</sup> Zihao Wang is also an employee of Zilliz. However, he declares that the PyANNs entry was created on his time off, without any involvement from Zilliz or any of the other organizers. This entry did not declare conflict with organizers before participating.
+
+        <h4>Organizer Presentations</h4>
+        <ul class="result-list">
+          <li>
+            <span><a href="neurips23_slides/intro.pptx">Introduction</a></span>
+          </li>
+          <li>
+            <span><a href="neurips23_slides/summary.pdf">Summary</a></span>
+          </li>
+        </ul>
+
+
+        <h4> Invited Talks</h4>
+        <ul class="result-list">
+          <li>
+            <span>Corey Nolet: </span><a href="neurips23_slides/NVIDIA_Corey.pdf">
+              Accelerating vector search on the GPU with RAPIDS RAFT</a>
+          </li>
+          <li>
+            <span>Yury Malkov: </span><a href="neurips23_slides/ANNS_for_recommendation_systems_Yury.pdf">Approximate Nearest Neighbor Search in Recommender Systems</a>
+          </li>
+        </ul>
+
       </div>
     </section>