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2020 – today
- 2023
[j48]Sina Mohseni
, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa:
Taxonomy of Machine Learning Safety: A Survey and Primer. ACM Comput. Surv. 55(8): 157:1-157:38 (2023)- [j47]Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
Troubleshooting image segmentation models with human-in-the-loop. Mach. Learn. 112(3): 1033-1051 (2023) - [j46]Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang:
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2769-2781 (2023) - [j45]Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang:
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. IEEE Trans. Medical Imaging 42(3): 750-761 (2023) - [j44]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. 2023 (2023) - [j43]Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang:
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. Trans. Mach. Learn. Res. 2023 (2023) - [c219]Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao:
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. ASP-DAC 2023: 745-750 - [c218]Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang:
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV 2023: 4976-4985 - [c217]Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian:
Search Behavior Prediction: A Hypergraph Perspective. WSDM 2023: 697-705 - [i251]Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang:
Convergence and Generalization of Wide Neural Networks with Large Bias. CoRR abs/2301.00327 (2023) - [i250]Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang:
Pruning Before Training May Improve Generalization, Provably. CoRR abs/2301.00335 (2023) - [i249]Mingquan Lin, Yuyun Xiao, Bo-Jian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng:
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. CoRR abs/2301.11315 (2023) - [i248]Shiwei Liu, Zhangyang Wang:
Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers. CoRR abs/2302.02596 (2023) - [i247]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. CoRR abs/2302.11085 (2023) - [i246]Ruisi Cai, Zhenyu Zhang, Zhangyang Wang:
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? CoRR abs/2302.12480 (2023) - [i245]Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang:
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. CoRR abs/2302.14138 (2023) - [i244]Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian:
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. CoRR abs/2302.14189 (2023) - [i243]Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang:
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. CoRR abs/2303.00039 (2023) - [i242]Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR abs/2303.00980 (2023) - [i241]Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang:
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. CoRR abs/2303.01610 (2023) - [i240]Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang:
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! CoRR abs/2303.02141 (2023) - [i239]Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators. CoRR abs/2303.13439 (2023) - [i238]Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi:
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models. CoRR abs/2303.17546 (2023) - [i237]Eric Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi:
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models. CoRR abs/2303.17591 (2023) - [i236]Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang:
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. CoRR abs/2304.02806 (2023) - [i235]Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu:
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR abs/2304.06116 (2023) - [i234]Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou:
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR abs/2304.12526 (2023) - [i233]Wenqing Zheng, S. P. Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang:
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation. CoRR abs/2305.00909 (2023) - [i232]Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou:
In-Context Learning Unlocked for Diffusion Models. CoRR abs/2305.01115 (2023) - [i231]Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan:
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. CoRR abs/2305.07214 (2023) - [i230]Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Hanwen Jiang, Zhangyang Wang:
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. CoRR abs/2305.15727 (2023) - [i229]Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi:
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models. CoRR abs/2305.16223 (2023) - [i228]Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai:
Towards Constituting Mathematical Structures for Learning to Optimize. CoRR abs/2305.18577 (2023) - [i227]Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao:
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts. CoRR abs/2305.18691 (2023) - [i226]Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu:
Are Large Kernels Better Teachers than Transformers for ConvNets? CoRR abs/2305.19412 (2023) - [i225]Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu:
Dynamic Sparsity Is Channel-Level Sparsity Learner. CoRR abs/2305.19454 (2023) - 2022
- [j42]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. 23: 189:1-189:59 (2022) - [j41]Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, Zhangyang Wang:
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2126-2139 (2022) - [j40]Shuai Yang, Zhangyang Wang, Jiaying Liu:
Shape-Matching GAN++: Scale Controllable Dynamic Artistic Text Style Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3807-3820 (2022) - [j39]Roberto M. Cesar Jr., Soraia Raupp Musse, Nuria Pelechano, Zhangyang (Atlas) Wang:
Conference on graphics, patterns and images. Pattern Recognit. Lett. 159: 223 (2022) - [j38]Zhangyang Wang, Vishal Patel, Bing Yao, Steve B. Jiang, Huimin Lu, Yang Shen:
Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2508-2511 (2022) - [j37]Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang:
CERL: A Unified Optimization Framework for Light Enhancement With Realistic Noise. IEEE Trans. Image Process. 31: 4162-4172 (2022) - [j36]Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang:
Adversarial Feature Augmentation and Normalization for Visual Recognition. Trans. Mach. Learn. Res. 2022 (2022) - [j35]Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. Trans. Mach. Learn. Res. 2022 (2022) - [j34]Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Can You Win Everything with A Lottery Ticket? Trans. Mach. Learn. Res. 2022 (2022) - [j33]Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. ACM Trans. Design Autom. Electr. Syst. 27(5): 50:1-50:20 (2022) - [j32]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks 8: 12-24 (2022) - [c216]Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen:
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. AAAI 2022: 6080-6088 - [c215]Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS 2022: 1359-1379 - [c214]Duc N. M. Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks. AutoML 2022: 4/1-16 - [c213]Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng:
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 2022: 9:1-9:9 - [c212]Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang:
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM 2022: 727-736 - [c211]Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang:
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CVPR 2022: 588-599 - [c210]Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang:
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution. CVPR 2022: 2037-2047 - [c209]Artur André Almeida de Macedo Oliveira, Zhangyang Wang, Roberto Hirata:
Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised Learning Approach in the Wild. CVPR Workshops 2022: 4285-4293 - [c208]Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang:
CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. CVPR 2022: 10976-10986 - [c207]Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang:
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CVPR 2022: 12010-12020 - [c206]Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi:
DiSparse: Disentangled Sparsification for Multitask Model Compression. CVPR 2022: 12372-12382 - [c205]Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang:
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CVPR 2022: 15170-15181 - [c204]Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie:
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. CVPR 2022: 18030-18040 - [c203]Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. DAC 2022: 1394-1395 - [c202]Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang:
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction. ECCV (3) 2022: 156-172 - [c201]Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Hassan Awadallah, Zhangyang Wang:
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) 2022: 239-256 - [c200]Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang:
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. ECCV (23) 2022: 389-405 - [c199]Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue:
Fast and High Quality Image Denoising via Malleable Convolution. ECCV (18) 2022: 429-446 - [c198]Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan:
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model. ECCV (19) 2022: 430-446 - [c197]Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang:
Unified Implicit Neural Stylization. ECCV (15) 2022: 636-654 - [c196]Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou:
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. ECCV (10) 2022: 711-727 - [c195]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang:
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. ECCV (22) 2022: 736-753 - [c194]Junyuan Hong, Zhangyang Wang, Jiayu Zhou:
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent. FAccT 2022: 11-35 - [c193]Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. FPL 2022: 109-116 - [c192]Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi:
Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. ICASSP 2022: 3988-3992 - [c191]Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang:
Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis. ICASSP 2022: 8022-8026 - [c190]Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding:
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM 2022: 981-986 - [c189]Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou:
Auto-scaling Vision Transformers without Training. ICLR 2022 - [c188]Xiaohan Chen, Jason Zhang, Zhangyang Wang:
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently. ICLR 2022 - [c187]Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang:
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. ICLR 2022 - [c186]Shaojin Ding, Tianlong Chen, Zhangyang Wang:
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable. ICLR 2022 - [c185]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. ICLR 2022 - [c184]Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Optimizer Amalgamation. ICLR 2022 - [c183]Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR 2022 - [c182]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy:
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. ICLR 2022 - [c181]Lu Miao, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang:
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining. ICLR 2022 - [c180]Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang:
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. ICLR 2022 - [c179]Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen:
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How. ICLR 2022 - [c178]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. ICLR 2022 - [c177]Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang:
Symbolic Learning to Optimize: Towards Interpretability and Scalability. ICLR 2022 - [c176]Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian:
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. ICLR 2022 - [c175]Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian:
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. ICML 2022: 865-877 - [c174]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. ICML 2022: 3025-3039 - [c173]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang:
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. ICML 2022: 3747-3759 - [c172]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML 2022: 3760-3772 - [c171]Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang:
Training Your Sparse Neural Network Better with Any Mask. ICML 2022: 9833-9844 - [c170]William T. Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra:
Universality of Winning Tickets: A Renormalization Group Perspective. ICML 2022: 18483-18498 - [c169]Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang:
Neural Implicit Dictionary Learning via Mixture-of-Expert Training. ICML 2022: 22613-22624 - [c168]Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang:
Removing Batch Normalization Boosts Adversarial Training. ICML 2022: 23433-23445 - [c167]Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang:
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. ICML 2022: 23446-23458 - [c166]Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu:
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. LoG 2022: 8 - [c165]Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang:
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. DALI@MICCAI 2022: 22-32 - [c164]Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi:
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. MLHC 2022: 101-122 - [c163]Dejia Xu, Hayk Poghosyan, Shant Navasardyan, Yifan Jiang, Humphrey Shi, Zhangyang Wang:
ReCoRo: Region-Controllable Robust Light Enhancement with User-Specified Imprecise Masks. ACM Multimedia 2022: 1376-1386 - [c162]Zhaoyi Wan, Dejia Xu, Zhangyang Wang, Jian Wang, Jiebo Luo:
Cloud2Sketch: Augmenting Clouds with Imaginary Sketches. ACM Multimedia 2022: 2441-2451 - [c161]Zhenyu Wu, Zhou Ren, Yi Wu, Zhangyang Wang, Gang Hua:
TxVAD: Improved Video Action Detection by Transformers. ACM Multimedia 2022: 4605-4613 - [c160]Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang:
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets. NeurIPS 2022 - [c159]Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang:
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis. NeurIPS 2022 - [c158]Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS 2022 - [c157]Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang:
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS 2022 - [c156]Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang:
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation. NeurIPS 2022 - [c155]Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang:
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. NeurIPS 2022 - [c154]S. P. Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang:
Symbolic Distillation for Learned TCP Congestion Control. NeurIPS 2022 - [c153]Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Sparse Winning Tickets are Data-Efficient Image Recognizers. NeurIPS 2022 - [c152]Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang:
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. NeurIPS 2022 - [c151]