@@ -418,7 +418,7 @@ <h2>Publications</h2>
418418 < div class ="paper-title "> Pruning Neural Networks with Velocity-Constrained Optimization</ div >
419419 < div class ="paper-authors "> Donghyun Oh*, Jinseok Chung*, Namhoon Lee</ div >
420420 < div class ="paper-venue "> NeurIPS 2023 Workshop on Optimization for Machine Learning</ div >
421- < div class ="paper-links "> < a href ="https://opt-ml.org/papers.html " target ="_blank "> [Paper ]</ a > </ div >
421+ < div class ="paper-links "> < a href ="https://opt-ml.org/papers.html " target ="_blank "> [paper ]</ a > </ div >
422422 </ div >
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@@ -432,21 +432,21 @@ <h2>Publications</h2>
432432 < div class ="paper-title "> On the Effectiveness of Sharpness-Aware Minimization with Large Mini-batches</ div >
433433 < div class ="paper-authors "> Jinseok Chung, Seonghwan Park, Jaeho Lee, Namhoon Lee</ div >
434434 < div class ="paper-venue "> ICML 2023 Workshop on High-dimensional Learning Dynamics</ div >
435- < div class ="paper-links "> < a href ="https://sites.google.com/view/hidimlearning/papers " target ="_blank "> [Paper ]</ a > </ div >
435+ < div class ="paper-links "> < a href ="https://sites.google.com/view/hidimlearning/papers " target ="_blank "> [paper ]</ a > </ div >
436436 </ div >
437437
438438 < div class ="paper ">
439439 < div class ="paper-title "> FedFwd: Federated Learning without Backpropagation</ div >
440440 < div class ="paper-authors "> Seonghwan Park, Dahun Shin, Jinseok Chung, Namhoon Lee</ div >
441441 < div class ="paper-venue "> ICML 2023 Workshop on Federated Learning and Analytics in Practice</ div >
442- < div class ="paper-links "> < a href ="https://fl-icml2023.github.io/ " target ="_blank "> [Paper ]</ a > </ div >
442+ < div class ="paper-links "> < a href ="https://fl-icml2023.github.io/ " target ="_blank "> [paper ]</ a > </ div >
443443 </ div >
444444
445445 < div class ="paper ">
446446 < div class ="paper-title "> Semi-Supervised Concept Bottleneck Models</ div >
447447 < div class ="paper-authors "> Jeeon Bae, Sungbin Shin, Namhoon Lee</ div >
448448 < div class ="paper-venue "> ICML 2023 Workshop on Artificial Intelligence and Human-Computer Interaction</ div >
449- < div class ="paper-links "> < a href ="https://sites.google.com/view/aihci/papers " target ="_blank "> [Paper ]</ a > </ div >
449+ < div class ="paper-links "> < a href ="https://sites.google.com/view/aihci/papers " target ="_blank "> [paper ]</ a > </ div >
450450 </ div >
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452452 < div class ="paper ">
@@ -477,14 +477,14 @@ <h2>Publications</h2>
477477 < div class ="paper-title "> Optimal Mini-Batch Size for Stochastic Gradient Methods</ div >
478478 < div class ="paper-authors "> Namhoon Lee, Philip H. S. Torr, Richard Hartley</ div >
479479 < div class ="paper-venue "> ICLR 2021 Workshop on Science and Engineering of Deep Learning</ div >
480- < div class ="paper-links "> < a href ="https://sites.google.com/view/sedl-workshop " target ="_blank "> [Paper ]</ a > </ div >
480+ < div class ="paper-links "> < a href ="https://sites.google.com/view/sedl-workshop " target ="_blank "> [paper ]</ a > </ div >
481481 </ div >
482482
483483 < div class ="paper ">
484484 < div class ="paper-title "> Toward Efficient Deep Learning with Sparse Neural Networks</ div >
485485 < div class ="paper-authors "> Namhoon Lee</ div >
486486 < div class ="paper-venue "> Ph.D. Thesis, University of Oxford</ div >
487- < div class ="paper-links "> < a href ="https://ora.ox.ac.uk/objects/uuid:000e9d44-0229-48a3-84b0-dc17a8e96ccf " target ="_blank "> [Thesis ]</ a > </ div >
487+ < div class ="paper-links "> < a href ="https://ora.ox.ac.uk/objects/uuid:000e9d44-0229-48a3-84b0-dc17a8e96ccf " target ="_blank "> [paper ]</ a > </ div >
488488 </ div >
489489
490490 < div class ="paper ">
@@ -519,7 +519,7 @@ <h2>Publications</h2>
519519 < div class ="paper-title "> Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance</ div >
520520 < div class ="paper-authors "> Hironori Hattori*, Namhoon Lee*, Vishnu N. Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade</ div >
521521 < div class ="paper-venue "> IJCV 2018</ div >
522- < div class ="paper-links "> < a href ="https://link.springer.com/article/10.1007/s11263-018-1077-3 " target ="_blank "> [Paper ]</ a > </ div >
522+ < div class ="paper-links "> < a href ="https://link.springer.com/article/10.1007/s11263-018-1077-3 " target ="_blank "> [paper ]</ a > </ div >
523523 </ div >
524524
525525 < div class ="paper ">
@@ -540,14 +540,14 @@ <h2>Publications</h2>
540540 < div class ="paper-title "> Predicting Wide Receiver Trajectories in American Football</ div >
541541 < div class ="paper-authors "> Namhoon Lee, Kris M. Kitani</ div >
542542 < div class ="paper-venue "> WACV 2016 < span class ="spotlight "> (Oral)</ span > </ div >
543- < div class ="paper-links "> < a href ="https://namhoonlee.github.io/doc/LK_WACV2016.pdf " target ="_blank "> [Paper ]</ a > </ div >
543+ < div class ="paper-links "> < a href ="https://namhoonlee.github.io/doc/LK_WACV2016.pdf " target ="_blank "> [paper ]</ a > </ div >
544544 </ div >
545545
546546 < div class ="paper ">
547547 < div class ="paper-title "> Modeling of Dynamic Environments for Visual Forecasting of American Football Plays</ div >
548548 < div class ="paper-authors "> Namhoon Lee (committee: Kris M. Kitani, Martial Hebert, Sebastian Scherer)</ div >
549549 < div class ="paper-venue "> M.S. Thesis, Carnegie Mellon University, Dec 2015</ div >
550- < div class ="paper-links "> < a href ="https://namhoonlee.github.io/doc/namhoonlee_msthesis2015_final.pdf " target ="_blank "> [Paper ]</ a > </ div >
550+ < div class ="paper-links "> < a href ="https://namhoonlee.github.io/doc/namhoonlee_msthesis2015_final.pdf " target ="_blank "> [paper ]</ a > </ div >
551551 </ div >
552552 </ main >
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