lixingjian

AL-noise-stability

Deep Active Learning with Noise Stability (AAAI 2024)

darts

Differentiable architecture search for convolutional and recurrent networks

DELTA

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229

fitting-random-labels

Example code for the paper "Understanding deep learning requires rethinking generalization"

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

PaddleTransfer

飞桨迁移学习算法库

project

RIFLE

code for ICML'20 paper RIFLE

SMILE

lixingjian/DELTA

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229

lixingjian/RIFLE

code for ICML'20 paper RIFLE

lixingjian/project

lixingjian/darts

Differentiable architecture search for convolutional and recurrent networks

lixingjian/fitting-random-labels

Example code for the paper "Understanding deep learning requires rethinking generalization"

lixingjian/models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

lixingjian/AL-noise-stability

Deep Active Learning with Noise Stability (AAAI 2024)

lixingjian/PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

lixingjian/PaddleTransfer

飞桨迁移学习算法库

lixingjian/SMILE

lixingjian/temp