Stuff I use
Useful tools that will come in handy when you are working on ML-related projects.
- gpustat: A simple but better replacement for “nvidia-smi”
- nvtop: Print GPU information in a htop-familiar way
- colorbrewer: Select appropriate colors schemes for papers
- figma: Jot down ideas w.r.t figures
- makefile: Automate the code pipeline with a single make target
- hydra: Elegant framework for all hyperparameters’ configurations
- wandb: A dashboard to visualize and compare your training process
- affinity designer: Adjust figures’ aesthetics
<a href="https://arxiv.org/abs/2403.04822">
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<a href="https://github.com/poloclub/unitable">
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<a href="/papers/llm-safety-landscape">
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<a href="/papers/llm-safety-landscape">Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models</a>
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<div class="cover-subtitle"><b> ShengYun Peng </b>, Pin-Yu Chen, Matthew Hull, Duen Horng Chau</div>
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NeurIPS,
2024
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<a href="https://arxiv.org/abs/2405.17374">
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<a href="https://github.com/ShengYun-Peng/llm-landscape">
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<a href="/papers/ssp-tsr">
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<a href="/papers/ssp-tsr">Self-supervised Pre-training for Table Structure Recognition Transformer</a>
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<div class="cover-subtitle"><b> ShengYun Peng </b>, Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau</div>
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AAAI SDU Workshop,
2024
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<a href="https://arxiv.org/abs/2402.15578">
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<a href="https://github.com/poloclub/unitable">
<i class="fas fa-code" aria-hidden="true"></i> Code
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<a href="https://sites.google.com/view/sdu-aaai24/schedule?authuser=0">
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<a href="/papers/tsr-convstem">
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<a href="/papers/tsr-convstem">High-Performance Transformers for Table Structure Recognition Need Early Convolutions</a>
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<div class="cover-subtitle"><b> ShengYun Peng </b>, Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau</div>
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NeurIPS TRL Workshop,
2023
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<a href="https://openreview.net/pdf?id=gs6yfSvwue">
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<a href="https://github.com/poloclub/tsr-convstem">
<i class="fas fa-code" aria-hidden="true"></i> Code
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<a href="https://table-representation-learning.github.io/#accepted-papers">
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<a href="/papers/llm-self-defense">
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<a href="/papers/llm-self-defense">LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked</a>
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<div class="cover-subtitle">Mansi Phute, Alec Helbling, Matthew Hull, <b> ShengYun Peng </b>, Sebastian Szyller, Cory Cornelius, Duen Horng Chau</div>
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ICLR Tiny Papers Track,
2024
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<a href="https://arxiv.org/abs/2308.07308">
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<a href="https://github.com/poloclub/llm-self-defense">
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<a href="/papers/robust-principles">
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<a href="/papers/robust-principles">Robust Principles: Architectural Design Principles for Adversarially Robust CNNs</a>
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<div class="cover-subtitle"><b> ShengYun Peng </b>, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Duen Horng Chau, Jason Martin</div>
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BMVC,
2023
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<a href="https://arxiv.org/abs/2308.16258">
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<a href="https://github.com/poloclub/robust-principles">
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<a href="/papers/award/23_robust-principles.pdf">
<i class="fas fa-trophy" aria-hidden="true"></i> Best Poster Award
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<a href="https://www.youtube.com/watch?v=S-N1iuA0hAY">
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<a href="/papers/posters/22_robarch.pdf">
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<a href="https://robustbench.github.io/#div_cifar10_Linf_heading">
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<a href="/papers/diffusion-explainer">
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<a href="/papers/diffusion-explainer">Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion</a>
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<div class="cover-subtitle">Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, <b> ShengYun Peng </b>, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau</div>
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IEEE Visualization Conference (VIS),
2023
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<a href="https://poloclub.github.io/diffusion-explainer/">
<i class="fas fa-play" aria-hidden="true"></i> Demo
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<a href="/papers/23_diffusion-explainer.pdf">
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<a href="https://github.com/poloclub/diffusion-explainer">
<i class="fas fa-code" aria-hidden="true"></i> Code
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<a href="https://www.youtube.com/watch?v=Zg4gxdIWDds">
<i class="fas fa-video" aria-hidden="true"></i> Recording
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<a href="/papers/skelevision">
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<a href="/papers/skelevision">SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning</a>
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<div class="cover-subtitle">Nilaksh Das, <b> ShengYun Peng </b>, Duen Horng Chau</div>
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ECCV AROW Workshop,
2022
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<a href="https://arxiv.org/abs/2204.00734">
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<a href="https://github.com/nilakshdas/SkeleVision">
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<a href="/papers/detector-detective">
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<a href="/papers/detector-detective">DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors</a>
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<div class="cover-subtitle">Interactive visualization tool for adversarial object detectors</div>
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CVPR Demo,
2022
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<a href="/papers/structural-health-monitoring">
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<a href="/papers/structural-health-monitoring">A novel deep neural network tracking algorithm for structural system identification</a>
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<div class="cover-subtitle"><b> ShengYun Peng </b>, LingFeng Yan, Bin He, Ying Zhou</div>
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Smart Structures and Systems,
2021
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<a href="/papers/21_siamsdn.pdf">
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<a href="/papers/DSiamMFT">
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<a href="/papers/DSiamMFT">DSiamMFT: An RGB-T fusion tracking method via dynamic Siamese networks using multi-layer feature fusion</a>
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<div class="cover-subtitle">Xingchen Zhang, Ping Ye, <b> ShengYun Peng </b>, Jun Liu, Gang Xiao</div>
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Signal Processing, Image Communication,
2020
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<a href="/papers/Anti-Occlusion">
<img src="/images/featured/19_anti-occlusion.png">
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<a href="/papers/Anti-Occlusion">Anti-occlusion object tracking based on correlation filter</a>
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<div class="cover-subtitle">Jun Liu, Gang Xiao, Xingchen Zhang, Ping Ye, Xingzhong Xiong, <b> ShengYun Peng </b></div>
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Signal, Image and Video Processing,
2019
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<a href="/papers/Fusion">
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<a href="/papers/Fusion">Object Fusion Tracking Based on Visible and Infrared Images Using Fully Convolutional Siamese Networks</a>
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<div class="cover-subtitle">Xingchen Zhang, Ping Ye, Dan Qiao, Junhao Zhao, ≈, Gang Xiao</div>
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22th International Conference on Information Fusion (FUSION),
2019
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<a href="/papers/SiamFT">
<img src="/images/featured/19_SiamFT.png">
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<a href="/papers/SiamFT">SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks</a>
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<div class="cover-subtitle">Xingchen Zhang, Ping Ye, <b> ShengYun Peng </b>, Jun Liu , Ke Gong , Gang Xiao</div>
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IEEE Access,
2019
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