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21lpcv-uav-solution

3d-mode-collapse

"Taming Mode Collapse in Score Distillation for Text-to-3D Generation" by Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

3d_adversarial_logo

[Preprint] "Can 3D Adversarial Logos Cloak Humans?"

4dgen

"4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency", Yuyang Yin*, Dejia Xu*, Zhangyang Wang, Yao Zhao, Yunchao Wei

abd-net

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

adin

[WACV 2020] "Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification" by Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua

adv-ss-pretraining

[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

adversarial-contrastive-learning

[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

agd

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

alista

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

all-in-one-underwater-image-enhancement-using-domain-adversarial-learning

[CVPRW 2019] All-In-One Underwater Image Enhancement using Domain-Adversarial Learning

alleviate-robust-overfitting

[ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang

architecture_convergence

[Neurips 2022] "Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis" by Wuyang Chen*, Wei Huang*, Xinyu Gong, Boris Hanin, Zhangyang Wang

arcticnet

[CVPRW 2019] ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands

asg

[ICML 2020] “Automated Synthetic-to-Real Generalization”, Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar.

asvit

[ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

atmc

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

audio-lottery

[ICLR 2022] "Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable", by Shaojin Ding, Tianlong Chen, Zhangyang Wang

aug-nerf

[CVPR 2022] "Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations" by Tianlong Chen*, Peihao Wang*, Zhiwen Fan, Zhangyang Wang

augmax

[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

autocog

[AutoML 2022] AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks by Duc Hoang, Kaixiong Zhou, Tianlong Chen, Ben Hu, Atlas Wang.

autogan

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

automars

[CIKM 2022] "AutoMARS: Searching to Compress Multi-Modality Recommendation Systems", Duc Hoang, Haotao Wang, Handong Zhao, Sungchul Kim, Kanak Mahadik and Atlas Wang

autopose

Code for "AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation"

autospeech

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

backdoor-lth

[CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu Chang, Sijia Liu, and Zhangyang Wang

backrazor_neurips22

[Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang

bert-tickets

[NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin

bi-rpt

[CPAL 2024] "Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and A Sparsity-Oriented Optimization Framework" by Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott K. McCall, Aurelien Pierre Philippe Perron, Joseph T. McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher

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