@@ -315,8 +315,8 @@ <h3 class="year-divider">2023</h3>
315315 < div class ="paper-venue "> ICLR 2023 Tiny Papers</ div >
316316 </ div >
317317
318- <!-- ===== 2021 ===== -->
319- < h3 class ="year-divider "> 2021 </ h3 >
318+ <!-- ===== Previous ===== -->
319+ < h3 class ="year-divider "> Previous </ h3 >
320320
321321 < div class ="paper ">
322322 < div class ="paper-title ">
@@ -358,10 +358,7 @@ <h3 class="year-divider">2021</h3>
358358 < div class ="paper-venue "> Ph.D. Thesis, University of Oxford</ div >
359359 </ div >
360360
361- <!-- ===== 2020 ===== -->
362- < h3 class ="year-divider "> 2020</ h3 >
363-
364- < div class ="paper ">
361+ < div class ="paper ">
365362 < div class ="paper-title ">
366363 < a href ="https://arxiv.org/abs/1906.06307 " target ="_blank ">
367364 A Signal Propagation Perspective for Pruning Neural Networks at Initialization
@@ -381,10 +378,7 @@ <h3 class="year-divider">2020</h3>
381378 < div class ="paper-venue "> ICLR 2020 Workshop on Practical ML</ div >
382379 </ div >
383380
384- <!-- ===== 2019 ===== -->
385- < h3 class ="year-divider "> 2019</ h3 >
386-
387- < div class ="paper ">
381+ < div class ="paper ">
388382 < div class ="paper-title ">
389383 < a href ="https://arxiv.org/abs/1810.02340 " target ="_blank ">
390384 SNIP: Single-shot Network Pruning based on Connection Sensitivity
@@ -394,10 +388,7 @@ <h3 class="year-divider">2019</h3>
394388 < div class ="paper-venue "> ICLR 2019</ div >
395389 </ div >
396390
397- <!-- ===== 2018 ===== -->
398- < h3 class ="year-divider "> 2018</ h3 >
399-
400- < div class ="paper ">
391+ < div class ="paper ">
401392 < div class ="paper-title ">
402393 < a href ="https://arxiv.org/abs/1804.02391 " target ="_blank ">
403394 Learn to Pay Attention
@@ -420,10 +411,7 @@ <h3 class="year-divider">2018</h3>
420411 < div class ="paper-venue "> IJCV 2018</ div >
421412 </ div >
422413
423- <!-- ===== 2017 ===== -->
424- < h3 class ="year-divider "> 2017</ h3 >
425-
426- < div class ="paper ">
414+ < div class ="paper ">
427415 < div class ="paper-title ">
428416 < a href ="https://arxiv.org/abs/1704.04394 " target ="_blank ">
429417 DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
@@ -443,10 +431,7 @@ <h3 class="year-divider">2017</h3>
443431 < div class ="paper-venue "> CVPR 2017</ div >
444432 </ div >
445433
446- <!-- ===== 2016 ===== -->
447- < h3 class ="year-divider "> 2016</ h3 >
448-
449- < div class ="paper ">
434+ < div class ="paper ">
450435 < div class ="paper-title ">
451436 < a href ="https://namhoonlee.github.io/doc/LK_WACV2016.pdf " target ="_blank ">
452437 Predicting Wide Receiver Trajectories in American Football
@@ -456,10 +441,7 @@ <h3 class="year-divider">2016</h3>
456441 < div class ="paper-venue "> WACV 2016 < span class ="spotlight "> (Oral)</ span > </ div >
457442 </ div >
458443
459- <!-- ===== 2015 ===== -->
460- < h3 class ="year-divider "> 2015</ h3 >
461-
462- < div class ="paper ">
444+ < div class ="paper ">
463445 < div class ="paper-title ">
464446 < a href ="https://namhoonlee.github.io/doc/namhoonlee_msthesis2015_final.pdf " target ="_blank ">
465447 Modeling of Dynamic Environments for Visual Forecasting of American Football Plays
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