Proceedings of NeurIPS 2019 Workshop on Machine Learning for the
Developing World: Challenges and Risks of ML4D
- URL: http://arxiv.org/abs/2001.00249v2
- Date: Fri, 10 Apr 2020 17:20:24 GMT
- Title: Proceedings of NeurIPS 2019 Workshop on Machine Learning for the
Developing World: Challenges and Risks of ML4D
- Authors: Maria De-Arteaga, Tejumade Afonja, Amanda Coston
- Abstract summary: This is the proceedings of the 3rd ML4D workshop which was help in Vancouver, Canada on December 13, 2019 as part of the Neural Information Processing Systems conference.
- Score: 5.23973694646543
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This is the proceedings of the 3rd ML4D workshop which was help in Vancouver,
Canada on December 13, 2019 as part of the Neural Information Processing
Systems conference.
Related papers
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools [119.88272424284193]
This report primarily focuses on the GLM-4 language series, which includes GLM-4, GLM-4-Air, and GLM-4-9B.
The GLM-4 models are pre-trained on ten trillions of tokens mostly in Chinese and English, along with a small set of corpus from 24 languages.
The high-quality alignment is achieved via a multi-stage post-training process, which involves supervised fine-tuning and learning from human feedback.
arXiv Detail & Related papers (2024-06-18T16:58:21Z) - InternLM2 Technical Report [159.70692271378581]
This paper introduces InternLM2, an open-source Large Language Models (LLMs) that outperforms its predecessors in comprehensive evaluations across 6 dimensions and 30 benchmarks.
The pre-training process of InternLM2 is meticulously detailed, highlighting the preparation of diverse data types.
InternLM2 efficiently captures long-term dependencies, initially trained on 4k tokens before advancing to 32k tokens in pre-training and fine-tuning stages.
arXiv Detail & Related papers (2024-03-26T00:53:24Z) - OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding [96.69806736025248]
This report provides an overview of the challenge hosted at the OpenSUN3D Workshop on Open-Vocabulary 3D Scene Understanding held in conjunction with ICCV 2023.
arXiv Detail & Related papers (2024-02-23T13:39:59Z) - Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the
Developing World: Global Challenges [0.8035384580801723]
These are the proceedings of the 5th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) on December 14th, 2021.
arXiv Detail & Related papers (2023-01-10T14:53:28Z) - White Paper Machine Learning in Certified Systems [70.24215483154184]
DEEL Project set-up the ML Certification 3 Workgroup (WG) set-up by the Institut de Recherche Technologique Saint Exup'ery de Toulouse (IRT)
arXiv Detail & Related papers (2021-03-18T21:14:30Z) - Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the
Developing World: Improving Resilience [1.154829465058342]
These are the proceedings of the 4th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) on Saturday, December 12th 2020.
arXiv Detail & Related papers (2021-01-12T08:35:54Z) - Proceedings of NeurIPS 2020 Workshop on Artificial Intelligence for
Humanitarian Assistance and Disaster Response [1.9043833325245103]
These are the "proceedings" of the 2nd AI + HADR workshop which was held virtually on December 12, 2020 as part of the Neural Information Processing Systems conference.
They are non-archival and merely serve as a way to collate all the papers accepted to the workshop.
arXiv Detail & Related papers (2020-12-03T17:44:26Z) - Proceedings of NeurIPS 2019 Workshop on Artificial Intelligence for
Humanitarian Assistance and Disaster Response [1.1075823412576873]
The 1st AI + HADR workshop was held in Vancouver, Canada on December 13, 2019 as part of the Neural Information Processing Systems conference.
These are non-archival and serve solely as a collation of all the papers accepted to the workshop.
arXiv Detail & Related papers (2020-12-02T08:19:55Z) - WeChat Neural Machine Translation Systems for WMT20 [61.03013964996131]
Our system is based on the Transformer with effective variants and the DTMT architecture.
In our experiments, we employ data selection, several synthetic data generation approaches, advanced finetuning approaches and self-bleu based model ensemble.
Our constrained Chinese to English system achieves 36.9 case-sensitive BLEU score, which is the highest among all submissions.
arXiv Detail & Related papers (2020-10-01T08:15:09Z) - Neural Machine Translation: Challenges, Progress and Future [62.75523637241876]
Machine translation (MT) is a technique that leverages computers to translate human languages automatically.
neural machine translation (NMT) models direct mapping between source and target languages with deep neural networks.
This article makes a review of NMT framework, discusses the challenges in NMT and introduces some exciting recent progresses.
arXiv Detail & Related papers (2020-04-13T07:53:57Z) - ML4H Abstract Track 2019 [0.0]
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2019.
This index is not complete, as some accepted abstracts chose to opt-out of inclusion.
arXiv Detail & Related papers (2020-02-05T00:18:01Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.