CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning QUARK: Controllable Text Generation with Reinforced Unlearning Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning Reinforced Genetic Algorithm for Structure-based ...
machine-learning code paper cvpr iccv nips icml eccv Updated Jan 16, 2020 roomylee / awesome-relation-extraction Star 1.2k Code Issues Pull requests 📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP)...
DynamicHead:基于像素级路由机制的动态FPN | NIPS 2020 论文提出了细粒度动态detection head,能够基于路由机制动态地融合不同FPN层的像素级局部特征进行更好的特征表达。从设计的路由空间来看是一个十分耗时的操作,但是作者设计的高效路由器实际计算十分高效。实验结果来看,细粒度动态detection head可以即插即提点undefined...
因为在那个Faster R-CNN才刚出来的时间点，我们还是nostalgic, 不相信在行人检测这种先验那么强的task上...
Anomaly Detection MORE MORE https://github.com/ZIYU-DEEP/IJCAI-Paper-List-of-Anomaly-Detection MORE IJCAI Anomaly Detection MORE MORE DeepTimeSeriesModel MORE MORE Anomaly Detection MORE MORE GuansongPang MORE MORE Demand Prediction TaskDataModelPaperCodePublication Paper Nums: 23 Traffic Demand BJSu...
三、Residual Networks Behave Like Ensembles of Relatively Shallow Networks:实验角度探究了ResNet,提出ResNet更像很多小网络的集成。比较有意思的paper; 链接:https://www.youtube.com/watch?v=jFJF5hXuo0s 四、Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles:多个深度模型集成算法; ...
This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch. - VITA-Group/Large_Scale_GCN_Benchmarking
This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch. - strategist922/large_scale_gcn_benchmarking