Alert button
Picture for Quoc V. Le

Quoc V. Le

Alert button

EfficientDet: Scalable and Efficient Object Detection

Nov 20, 2019
Mingxing Tan, Ruoming Pang, Quoc V. Le

Figure 1 for EfficientDet: Scalable and Efficient Object Detection
Figure 2 for EfficientDet: Scalable and Efficient Object Detection
Figure 3 for EfficientDet: Scalable and Efficient Object Detection
Figure 4 for EfficientDet: Scalable and Efficient Object Detection
Viaarxiv icon

RandAugment: Practical automated data augmentation with a reduced search space

Nov 14, 2019
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le

Figure 1 for RandAugment: Practical automated data augmentation with a reduced search space
Figure 2 for RandAugment: Practical automated data augmentation with a reduced search space
Figure 3 for RandAugment: Practical automated data augmentation with a reduced search space
Figure 4 for RandAugment: Practical automated data augmentation with a reduced search space
Viaarxiv icon

Self-training with Noisy Student improves ImageNet classification

Nov 11, 2019
Qizhe Xie, Eduard Hovy, Minh-Thang Luong, Quoc V. Le

Figure 1 for Self-training with Noisy Student improves ImageNet classification
Figure 2 for Self-training with Noisy Student improves ImageNet classification
Figure 3 for Self-training with Noisy Student improves ImageNet classification
Figure 4 for Self-training with Noisy Student improves ImageNet classification
Viaarxiv icon

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

Nov 05, 2019
Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee

Figure 1 for High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Figure 2 for High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Figure 3 for High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Figure 4 for High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Viaarxiv icon

RandAugment: Practical data augmentation with no separate search

Sep 30, 2019
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le

Figure 1 for RandAugment: Practical data augmentation with no separate search
Figure 2 for RandAugment: Practical data augmentation with no separate search
Figure 3 for RandAugment: Practical data augmentation with no separate search
Figure 4 for RandAugment: Practical data augmentation with no separate search
Viaarxiv icon

Saccader: Improving Accuracy of Hard Attention Models for Vision

Sep 11, 2019
Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le

Figure 1 for Saccader: Improving Accuracy of Hard Attention Models for Vision
Figure 2 for Saccader: Improving Accuracy of Hard Attention Models for Vision
Figure 3 for Saccader: Improving Accuracy of Hard Attention Models for Vision
Figure 4 for Saccader: Improving Accuracy of Hard Attention Models for Vision
Viaarxiv icon

MixConv: Mixed Depthwise Convolutional Kernels

Aug 01, 2019
Mingxing Tan, Quoc V. Le

Figure 1 for MixConv: Mixed Depthwise Convolutional Kernels
Figure 2 for MixConv: Mixed Depthwise Convolutional Kernels
Figure 3 for MixConv: Mixed Depthwise Convolutional Kernels
Figure 4 for MixConv: Mixed Depthwise Convolutional Kernels
Viaarxiv icon

Selfie: Self-supervised Pretraining for Image Embedding

Jul 23, 2019
Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le

Figure 1 for Selfie: Self-supervised Pretraining for Image Embedding
Figure 2 for Selfie: Self-supervised Pretraining for Image Embedding
Figure 3 for Selfie: Self-supervised Pretraining for Image Embedding
Figure 4 for Selfie: Self-supervised Pretraining for Image Embedding
Viaarxiv icon

MixNet: Mixed Depthwise Convolutional Kernels

Jul 22, 2019
Mingxing Tan, Quoc V. Le

Figure 1 for MixNet: Mixed Depthwise Convolutional Kernels
Figure 2 for MixNet: Mixed Depthwise Convolutional Kernels
Figure 3 for MixNet: Mixed Depthwise Convolutional Kernels
Figure 4 for MixNet: Mixed Depthwise Convolutional Kernels
Viaarxiv icon