Machine Learning

Probabilistic Graphical Models Probabilistic graphical modeling is a branch of machine learning that studies how to use probability distributions to model the world.

Topic	Replies	Views	Activity
About Machine Learning Machine Learning	0	252	December 25, 2019
好奇，有没有那种工具，NLP任务数据读取、转化的python包 Machine Learning	2	69	August 22, 2021
Convolutions and Self-Attention: Re-interpreting Relative Positions in... Machine Learning	0	27	August 16, 2021
Reservoir Transformers Machine Learning	0	31	August 15, 2021
Structural Knowledge Distillation: Tractably Distilling Information for... Machine Learning	0	74	August 10, 2021
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared... Machine Learning	0	32	August 11, 2021
Self-Training with Weak Supervision Machine Learning	0	39	July 30, 2021
A Generative Model for Joint Natural Language Understanding and Generation Machine Learning	0	55	June 21, 2021
Self-Attention Guided Copy Mechanism for Abstractive Summarization Machine Learning	0	93	June 16, 2021
NBDT: Neural-Backed Decision Trees Machine Learning	0	61	June 10, 2021
Active Imitation Learning with Noisy Guidance Machine Learning	0	49	May 27, 2021
Intel的二代神经棒有人用过没 Machine Learning	0	125	April 12, 2021
TensorFlow 2.0 VS PyTorch？ Machine Learning	13	2545	April 3, 2021
Learning Sparse Neural Networks through L0 Regularization Machine Learning	0	154	February 13, 2021
Dice Loss for Data-imbalanced NLP Tasks Machine Learning	0	138	February 18, 2021
TensorFlow 2.x 有哪些坑？ Machine Learning	6	793	January 20, 2021
关于PyTorch的Dataset、DataLoader和Sampler的设计看法 Machine Learning	6	1664	January 11, 2021
Learning to Contextually Aggregate Multi-Source Supervision for Sequence... Machine Learning	0	200	September 30, 2020
Tensorflow的启动比pytorch慢十倍 Machine Learning	5	969	January 20, 2021
使用代码中的crf层训练模型时出现：tensorflow.python.framework.errors_impl.InvalidArgumentError: slice index 1 of dimension 0 out of bounds. [[{{node loss/output_1_loss/strided_slice_6}}]] [Op:__inference_keras_scratch_graph_8174] Machine Learning	2	621	March 24, 2020