vita-group Goto Github PK

bnn_nobn

[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang

cadtransformer

[CVPR 2022]"CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings", Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang

cerl

[Preprint] "CERL: Coordinated Enhancement for Real-World Low-Light Noisy Images" by Zeyuan Chen, Yifan Jiang, Dong Liu and Zhangyang Wang

certifiedpruning

Code for paper "Can pruning improve certified robustness of deep neural networks?"

chaincoder

📜 [ICML 2023] "Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation", Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang

chasing-better-dips

[TMLR] "Chasing Better Deep Image Priors between Over- and Under-parameterization" Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang

chext

cil-qud

[TMLR 22] "Queried Unlabeled Data Improves and Robustifies Class- Incremental Learning" by Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Animi, Zhangyang Wang

crmoe

[TMLR] “CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning”, Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang

cv_a-fan

[TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu

cv_lth_pre-training

[CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

dada

[Preprint] "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"

data-efficient-scaling

[ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang

dataefficientlth

[NeurIPS 2022] "Sparse Winning Tickets are Data-Efficient Image Recognizers" by Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang

deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

deep-k-means-pytorch

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

deep_gcn_benchmarking

[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

deepaffinity

[Bioinformatics 2019] "Protein-compound affinity prediction through unified RNN-CNN"

deepps

[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"

dehaze

[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"

dept

[NeurIPS 2021] "Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems", Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang

dfs

[AAAI'2020] "Fractional Skipping: Towards Finer-Grained Dynamic CNN inference", Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin

diffses

📜 [Under Review] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search", Wenqing Zheng*, S P Sharan*, Zhiwen Fan, Kevin Wang, Yihan Xi, Atlas Wang

diverse-vit

[CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang

dna

[ECCV 2022] "Improve Few-Shot Transfer Learning with Low-Rank Decompose and Align" by Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang

double-win-lth

[ICML 2022] "Data-Efficient Double-Win Lottery Tickets from Robust Pre-training" by Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

dp-opt

[ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

dsee

[ACL 2023] "DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models" by Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng

e2train

[NeurIPS'2019] Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang, "E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy"

early-bird-tickets

[ICLR 2020] ”Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks“ by Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk