Zhangyang Wang

Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors

This paper presents a novel patch-based adversarial attack pipeline that...
04/22/2021 ∙ by Arman Maesumi, et al. ∙ 2 ∙ share

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InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks

The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT)...
04/22/2021 ∙ by Yonggan Fu, et al. ∙ 0 ∙ share

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"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization

Batch normalization (BN) is a key facilitator and considered essential f...
04/16/2021 ∙ by Tianlong Chen, et al. ∙ 0 ∙ share

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Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop

Building a highly accurate predictive model for these tasks usually requ...
04/11/2021 ∙ by Yan Han, et al. ∙ 0 ∙ share

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A Design Space Study for LISTA and Beyond

In recent years, great success has been witnessed in building problem-sp...
04/08/2021 ∙ by Tianjian Meng, et al. ∙ 0 ∙ share

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Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data

Electronic Health Record (EHR) data has been of tremendous utility in Ar...
04/07/2021 ∙ by Tingyi Wanyan, et al. ∙ 14 ∙ share

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Contrastive Syn-to-Real Generalization

Training on synthetic data can be beneficial for label or data-scarce sc...
04/06/2021 ∙ by Wuyang Chen, et al. ∙ 7 ∙ share

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The Elastic Lottery Ticket Hypothesis

Lottery Ticket Hypothesis raises keen attention to identifying sparse tr...
03/30/2021 ∙ by Xiaohan Chen, et al. ∙ 0 ∙ share

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Learning to Optimize: A Primer and A Benchmark

Learning to optimize (L2O) is an emerging approach that leverages machin...
03/23/2021 ∙ by Tianlong Chen, et al. ∙ 61 ∙ share

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UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution

The recent success of NeRF and other related implicit neural representat...
03/23/2021 ∙ by Xingqian Xu, et al. ∙ 0 ∙ share

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Adversarial Feature Augmentation and Normalization for Visual Recognition

Recent advances in computer vision take advantage of adversarial data au...
03/22/2021 ∙ by Tianlong Chen, et al. ∙ 14 ∙ share

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Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly

Training generative adversarial networks (GANs) with limited data genera...
02/28/2021 ∙ by Tianlong Chen, et al. ∙ 0 ∙ share

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Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition

Semantic segmentation is an extensively studied task in computer vision,...
02/27/2021 ∙ by Jiebin Yan, et al. ∙ 0 ∙ share

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Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Neural Architecture Search (NAS) has been explosively studied to automat...
02/23/2021 ∙ by Wuyang Chen, et al. ∙ 0 ∙ share

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Sandwich Batch Normalization

We present Sandwich Batch Normalization (SaBN), an embarrassingly easy i...
02/22/2021 ∙ by Xinyu Gong, et al. ∙ 7 ∙ share

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Weak NAS Predictors Are All You Need

Neural Architecture Search (NAS) finds the best network architecture by ...
02/21/2021 ∙ by Junru Wu, et al. ∙ 9 ∙ share

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TransGAN: Two Transformers Can Make One Strong GAN

The recent explosive interest on transformers has suggested their potent...
02/14/2021 ∙ by Yifan Jiang, et al. ∙ 0 ∙ share

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A Unified Lottery Ticket Hypothesis for Graph Neural Networks

With graphs rapidly growing in size and deeper graph neural networks (GN...
02/12/2021 ∙ by Tianlong Chen, et al. ∙ 0 ∙ share

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On Dynamic Noise Influence in Differentially Private Learning

Protecting privacy in learning while maintaining the model performance h...
01/19/2021 ∙ by Junyuan Hong, et al. ∙ 0 ∙ share

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Good Students Play Big Lottery Better

Lottery ticket hypothesis suggests that a dense neural network contains ...
01/08/2021 ∙ by Haoyu Ma, et al. ∙ 3 ∙ share

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SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training

The record-breaking performance of deep neural networks (DNNs) comes wit...
01/04/2021 ∙ by Xiaohan Chen, et al. ∙ 5 ∙ share

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EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets

Deep, heavily overparameterized language models such as BERT, XLNet and ...
12/31/2020 ∙ by Xiaohan Chen, et al. ∙ 0 ∙ share

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Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity

Despite the latest prevailing success of deep neural networks (DNNs), se...
12/29/2020 ∙ by Jianghao Shen, et al. ∙ 6 ∙ share

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FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training

Recent breakthroughs in deep neural networks (DNNs) have fueled a tremen...
12/24/2020 ∙ by Yonggan Fu, et al. ∙ 0 ∙ share

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The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models

The computer vision world has been re-gaining enthusiasm in various pre-...
12/12/2020 ∙ by Tianlong Chen, et al. ∙ 9 ∙ share

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Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing

Face anti-spoofing (FAS) seeks to discriminate genuine faces from fake o...
11/28/2020 ∙ by Junru Wu, et al. ∙ 0 ∙ share

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What Does CNN Shift Invariance Look Like? A Visualization Study

Feature extraction with convolutional neural networks (CNNs) is a popula...
11/09/2020 ∙ by Jake Lee, et al. ∙ 0 ∙ share

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Robust Pre-Training by Adversarial Contrastive Learning

Recent work has shown that, when integrated with adversarial training, s...
10/26/2020 ∙ by Ziyu Jiang, et al. ∙ 0 ∙ share

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ShiftAddNet: A Hardware-Inspired Deep Network

Multiplication (e.g., convolution) is arguably a cornerstone of modern d...
10/24/2020 ∙ by Haoran You, et al. ∙ 0 ∙ share

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Graph Contrastive Learning with Augmentations

Generalizable, transferrable, and robust representation learning on grap...
10/22/2020 ∙ by Yuning You, et al. ∙ 13 ∙ share

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Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free

Adversarial training and its many variants substantially improve deep ne...
10/22/2020 ∙ by Haotao Wang, et al. ∙ 0 ∙ share

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Training Stronger Baselines for Learning to Optimize

Learning to optimize (L2O) has gained increasing attention since classic...
10/18/2020 ∙ by Tianlong Chen, et al. ∙ 8 ∙ share

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MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis

Estimating the 3D hand pose from a monocular RGB image is important but ...
10/02/2020 ∙ by Zhenyu Wu, et al. ∙ 0 ∙ share

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GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework

Generative adversarial networks (GANs) have gained increasing popularity...
08/25/2020 ∙ by Haotao Wang, et al. ∙ 16 ∙ share

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The Lottery Ticket Hypothesis for Pre-trained BERT Networks

In natural language processing (NLP), enormous pre-trained models like B...
07/23/2020 ∙ by Tianlong Chen, et al. ∙ 7 ∙ share

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Automated Synthetic-to-Real Generalization

Models trained on synthetic images often face degraded generalization to...
07/14/2020 ∙ by Wuyang Chen, et al. ∙ 9 ∙ share

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Can 3D Adversarial Logos Cloak Humans?

With the trend of adversarial attacks, researchers attempt to fool train...
06/25/2020 ∙ by Tianlong Chen, et al. ∙ 5 ∙ share

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When Does Self-Supervision Help Graph Convolutional Networks?

Self-supervision as an emerging technique has been employed to train con...
06/16/2020 ∙ by Yuning You, et al. ∙ 6 ∙ share

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AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks

The compression of Generative Adversarial Networks (GANs) has lately dra...
06/15/2020 ∙ by Yonggan Fu, et al. ∙ 42 ∙ share

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NADS: Neural Architecture Distribution Search for Uncertainty Awareness

Machine learning (ML) systems often encounter Out-of-Distribution (OoD) ...
06/11/2020 ∙ by Randy Ardywibowo, et al. ∙ 0 ∙ share

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Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification

Deep Neural Network has shown great strides in the coarse-grained image ...
05/22/2020 ∙ by Prateek Shroff, et al. ∙ 50 ∙ share

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SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation

We present SmartExchange, an algorithm-hardware co-design framework to t...
05/07/2020 ∙ by fcq, et al. ∙ 6 ∙ share

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AutoSpeech: Neural Architecture Search for Speaker Recognition

Speaker recognition systems based on Convolutional Neural Networks (CNNs...
05/07/2020 ∙ by Shaojin Ding, et al. ∙ 1 ∙ share

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L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Graph convolution networks (GCN) are increasingly popular in many applic...
03/30/2020 ∙ by Yuning You, et al. ∙ 0 ∙ share

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Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

Pretrained models from self-supervision are prevalently used in fine-tun...
03/28/2020 ∙ by Tianlong Chen, et al. ∙ 11 ∙ share

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Safeguarded Learned Convex Optimization

Many applications require repeatedly solving a certain type of optimizat...
03/04/2020 ∙ by Howard Heaton, et al. ∙ 0 ∙ share

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I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively

The learning of hierarchical representations for image classification ha...
02/25/2020 ∙ by Haotao Wang, et al. ∙ 7 ∙ share

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Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference

Deep networks were recently suggested to face the odds between accuracy ...
02/24/2020 ∙ by Ting-Kuei Hu, et al. ∙ 0 ∙ share

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VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms

Despite the popularity of decentralized controller learning, very few su...
02/06/2020 ∙ by Ting-Kuei Hu, et al. ∙ 0 ∙ share

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Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches

Sketch-based image editing aims to synthesize and modify photos based on...
01/09/2020 ∙ by Shuai Yang, et al. ∙ 10 ∙ share

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Zhangyang Wang

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