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update styling (#256)
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Co-authored-by: Harsha Vardhan Simhadri <[email protected]>
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@carlosgauci @harsha-simhadri
carlosgauci and harsha-simhadri authored Dec 7, 2023
1 parent 33dddd4 commit ea6b85d
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55 changes: 37 additions & 18 deletions neurips23.html
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Expand Up @@ -103,31 +103,49 @@ <h2>Results and Event Schedule</h2>
</div>

<h3>Track Winners</h3>
<ul class="tracks-list">

<h4>Filtered Search</h4>
<ul class="result-list">
<li>
<span>Filtered Search</span>:
<bold>IVF$^2$ Index</bold>: Fusing Classic and Spatial Inverted Indices for Fast Filtered ANNS<BR>
Authors: Ben Landrum (UMD), Magdalen Dobson Manohar (CMU), Mazin Karjikar (UMD), Laxman Dhulipala (UMD)
<span>IVF$^2$ Index</span>: Fusing Classic and Spatial Inverted Indices for Fast Filtered ANNS
<span class="authors"><span>Authors</span>: Ben Landrum (UMD), Magdalen Dobson Manohar (CMU), Mazin Karjikar (UMD), Laxman Dhulipala (UMD)</span>
</li>
</ul>

<h4>Out-Of-Distribution</h4>
<ul class="result-list">
<li>
<span>Out-Of-Distribution</span>:
<bold>RoarANN</bold>: Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search<BR>
Authors: Meng Chen, Yue Chen, Rui Ma, Fudan University, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng. All authors from Fudan University.
<BR>
<bold>PyANNS</bold>: Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search<BR>
Authors: Zihan Wang, Zilliz. [Note: this entry did not declare conflict with organizers before participating]
<span>RoarANN</span>: Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search
<span class="authors"><span>Authors</span>: Meng Chen, Yue Chen, Rui Ma, Fudan University, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng. All authors from Fudan University.</span>
</li>

<li>
<span>Sparse</span>:
<bold>PyANNS</bold>: Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search<BR>
Authors: Zihan Wang, Zilliz. [Note: this entry did not declare conflict with organizers before participating]<BR>
<bold>shnsw</bold>: Sparse HNSW<BR>
Authors: Meng Chen, Yue Chen, Rui Ma, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng. All authors from Fudan University.
<span>PyANNS</span>: Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search
<span class="authors"><span>Authors</span>: Zihan Wang, Zilliz. [Note: this entry did not declare conflict with organizers before participating]</span>
</li>
</ul>

<h4>Sparse</h4>
<ul class="result-list">
<li>
<span>Streaming search</span>:
<bold>Puck</bold>: Efficient Multi-level Index Structure for Approximate Nearest Neighbor Search in Practice<BR>
Authors: Jie Yin, Baidu Ben Huang, Baidu
<span>PyANNS</span>:
Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search<br/>
<span class="authors"><span>Authors</span>: Zihan Wang, Zilliz. [Note: this entry did not declare conflict with organizers before participating]</span>
</li>

<li>
<span>shnsw</span>:
Sparse HNSW<br/>
<span class="authors"><span>Authors</span>: Meng Chen, Yue Chen, Rui Ma, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng. All authors from Fudan University.</span>
</li>
</ul>

<h4>Streaming Search</h4>
<ul class="result-list">
<li>
<span>PyANNS</span>:
Efficient Multi-level Index Structure for Approximate Nearest Neighbor Search in Practice<br/>
<span class="authors"><span>Authors</span>: Jie Yin, Baidu Ben Huang, Baidu</span>
</li>
</ul>

Expand All @@ -142,6 +160,7 @@ <h3>Track Winners</h3>
</div>

</div>
</section>

<!-- Tracks -->
<section id="tracks" class="tracks">
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73 changes: 71 additions & 2 deletions style.css
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Expand Up @@ -56,6 +56,11 @@ h3 {
line-height: 1.75rem;
}

h4 {
font-size: 1.125rem;
line-height: 1.5rem;
}

/* Text */
p,
li {
Expand Down Expand Up @@ -208,6 +213,7 @@ a:hover {
border-radius: 5px;
color: #fff;
transition: all 0.3s ease-in-out;
text-align: center;
}

.button.button-white {
Expand Down Expand Up @@ -257,9 +263,63 @@ a:hover {
color: var(--color-gray);
}

/* Results section */
.results {
background-color: #fff;
}

.results .buttons {
display: flex;
flex-wrap: wrap;
justify-content: center;
gap: 1.25rem;
margin-top: var(--spacing-md);
}

.results .title {
text-align: center;
color: var(--color-navy);
}

.results h3 {
margin-top: var(--spacing-sm);
text-align: center;
}

.results h4 {
margin-top: var(--spacing-md);
}

.result-list {
display: flex;
flex-direction: column;
gap: 1.75rem;
margin: var(--spacing-sm) 0 var(--spacing-sm);
list-style: disc outside;
padding-left: 1.4rem;
color: var(--color-gray);
}

.result-list li > span:not(.authors),
.result-list li::marker {
color: #000;
font-weight: 600;
}

.result-list li > span.authors {
display: block;
margin-top: 0.5rem;
font-size: 1rem;
}

.result-list li > span.authors > span {
color: #000;
font-weight: 600;
}

/* Tracks section */
.tracks {
background-color: #fff;
background-color: var(--color-light-gray);
}

.tracks .title {
Expand Down Expand Up @@ -328,7 +388,7 @@ th {

/* Participation */
.participate {
background-color: var(--color-light-gray);
background-color: #fff;
}

.participate h2 {
Expand All @@ -353,6 +413,11 @@ th {
}

/* Contributor section */

.organizers {
background-color: var(--color-light-gray);
}

.organizers > .container {
display: flex;
flex-direction: column;
Expand Down Expand Up @@ -446,6 +511,10 @@ th {
line-height: 2.25rem;
}

h4 {
font-size: 1.5rem;
}

.button {
width: auto;
}
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