Awesome Open Source

Programming Languages

Search results for benchmark domain adaptation

domain-adaptation x

7 search results found

Powerful Benchmarker ⭐ 426

A library for ML benchmarking. It's powerful.

Meta Selflearning ⭐ 175

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Deep Unsupervised Domain Adaptation ⭐ 20

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.

Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification

Related Searches

Python Benchmark (1,942)

C Plus Plus Benchmark (1,219)

Javascript Benchmark (1,165)

Benchmark Benchmarking (1,083)

Golang Benchmark (1,080)

Java Benchmark (993)

C Benchmark (902)

Benchmark Performance (776)

Python Domain Adaptation (422)

Dataset Benchmark (395)

1-7 of 7 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.