New deep learning framework from Facebook
Pythia is a deep learning framework that supports multitasking in the vision and language domain. Built on our open-source #PyTorch framework, the modular, plug-and-play design enables researchers to quickly build, reproduce, and benchmark AI models. #Pythia is designed for vision and language tasks, such as answering questions related to visual data and automatically generating image captions.
Link: https://code.fb.com/ai-research/pythia/
GitHub: https://github.com/facebookresearch/pythia
#Facebook #FacebookAI #DL #CV #multimodal
Pythia is a deep learning framework that supports multitasking in the vision and language domain. Built on our open-source #PyTorch framework, the modular, plug-and-play design enables researchers to quickly build, reproduce, and benchmark AI models. #Pythia is designed for vision and language tasks, such as answering questions related to visual data and automatically generating image captions.
Link: https://code.fb.com/ai-research/pythia/
GitHub: https://github.com/facebookresearch/pythia
#Facebook #FacebookAI #DL #CV #multimodal
Engineering at Meta
Releasing Pythia for vision and language multimodal AI models
Pythia is a new open source deep learning framework that enables researchers to quickly build, reproduce, and benchmark AI models.
Long-form question answering
Facebook AI shared the first large-scale data set, code, and baseline models for long-form QA, which requires machines to provide long, complex answers — something that existing algorithms have not been challenged to do before.
Link: https://ai.facebook.com/blog/longform-qa/
#FacebookAI #Facebook #NLP #NLU #QA
Facebook AI shared the first large-scale data set, code, and baseline models for long-form QA, which requires machines to provide long, complex answers — something that existing algorithms have not been challenged to do before.
Link: https://ai.facebook.com/blog/longform-qa/
#FacebookAI #Facebook #NLP #NLU #QA
Open-sourcing hyperparameter autotuning for fastText
Facebook AI researchers are releasing a new feature for the fastText library which provides hyper-parameter autotuning for more efficient text classifiers.
Link: https://ai.facebook.com/blog/fasttext-blog-post-open-source-in-brief/
#FacebookAI #Facebook #FastText #NLU #NLP
Facebook AI researchers are releasing a new feature for the fastText library which provides hyper-parameter autotuning for more efficient text classifiers.
Link: https://ai.facebook.com/blog/fasttext-blog-post-open-source-in-brief/
#FacebookAI #Facebook #FastText #NLU #NLP
Meta
Open-sourcing hyperparameter autotuning for fastText
Facebook AI researchers are releasing a new feature for the fastText library that provides hyperparameter autotuning for more efficient text classifiers.
New fastMRI challenge from #FacebookAI team
Submission deadline: September 19
Announcement link: https://ai.facebook.com/blog/fastmri-challenge/
Competition link: https://fastmri.org/
#Competition #NotOnlyKaggle #Facebook #CV #DL
Submission deadline: September 19
Announcement link: https://ai.facebook.com/blog/fastmri-challenge/
Competition link: https://fastmri.org/
#Competition #NotOnlyKaggle #Facebook #CV #DL
Self-supervised QA from Facebook AI
The researchers from Facebook AI published a paper with the results of exploring the idea of unsupervised extractive question answering and the following training of the supervised question answering model. This approach achieves 56.41F1 on SQuAD2 dataset.
Original paper: https://research.fb.com/wp-content/uploads/2019/07/Unsupervised-Question-Answering-by-Cloze-Translation.pdf?
Code for experiments: https://github.com/facebookresearch/UnsupervisedQA
#NLP #BERT #FacebookAI #SelfSupervised
The researchers from Facebook AI published a paper with the results of exploring the idea of unsupervised extractive question answering and the following training of the supervised question answering model. This approach achieves 56.41F1 on SQuAD2 dataset.
Original paper: https://research.fb.com/wp-content/uploads/2019/07/Unsupervised-Question-Answering-by-Cloze-Translation.pdf?
Code for experiments: https://github.com/facebookresearch/UnsupervisedQA
#NLP #BERT #FacebookAI #SelfSupervised
Automatic product tagging on photoes on Facebook Pages
#FacebookAI released an improvement aiming at enhancing shopping platform.
Post: https://ai.facebook.com/blog/powered-by-ai-advancing-product-understanding-and-building-new-shopping-experiences
Paper: https://scontent-arn2-1.xx.fbcdn.net/v/t39.8562-6/99353320_565175057533429_3886205100842024960_n.pdf
#GrokNet #DL #segmentation #PyTorch
#FacebookAI released an improvement aiming at enhancing shopping platform.
Post: https://ai.facebook.com/blog/powered-by-ai-advancing-product-understanding-and-building-new-shopping-experiences
Paper: https://scontent-arn2-1.xx.fbcdn.net/v/t39.8562-6/99353320_565175057533429_3886205100842024960_n.pdf
#GrokNet #DL #segmentation #PyTorch
Unsupervised Translation of Programming Languages
Model provided with Python, C++ or Java source code from GitHub, automatically learns to translate between the 3 languages in a fully unsupervised way.
Again: No supervision.
The correctness is then checked by compiling and running unit tests.
ArXiV: https://arxiv.org/pdf/2006.03511.pdf
#FAIR #FacebookAI #cs #unsupervised
Model provided with Python, C++ or Java source code from GitHub, automatically learns to translate between the 3 languages in a fully unsupervised way.
Again: No supervision.
The correctness is then checked by compiling and running unit tests.
ArXiV: https://arxiv.org/pdf/2006.03511.pdf
#FAIR #FacebookAI #cs #unsupervised
A new SOTA on voice separation model that distinguishes multiple speakers simultaneously
Pandemic given a sufficient rise to new technologies covering voice communication. Noise cancelling is required more than ever and now #Facebook introduced a new method for separating as many as five voices speaking simultaneously into a single microphone. It pushes state of the art on multiple benchmarks, including ones with challenging noise and reverberations.
Blogpost: https://ai.facebook.com/blog/a-new-state-of-the-art-voice-separation-model-that-distinguishes-multiple-speakers-simultaneously
Paper: https://arxiv.org/pdf/2003.01531.pdf
#SOTA #FacebookAI #voicerecognition #soundlearning #DL
Pandemic given a sufficient rise to new technologies covering voice communication. Noise cancelling is required more than ever and now #Facebook introduced a new method for separating as many as five voices speaking simultaneously into a single microphone. It pushes state of the art on multiple benchmarks, including ones with challenging noise and reverberations.
Blogpost: https://ai.facebook.com/blog/a-new-state-of-the-art-voice-separation-model-that-distinguishes-multiple-speakers-simultaneously
Paper: https://arxiv.org/pdf/2003.01531.pdf
#SOTA #FacebookAI #voicerecognition #soundlearning #DL
Deep learning to translate between programming languages
#FacebookAI released TransCoder, an entirely self-supervised neural transcompiler system that is claimed to make code migration easier and more efficient.
ArXiV: https://arxiv.org/pdf/2006.03511.pdf
Github: https://github.com/facebookresearch/TransCoder/
#NLU #codegeneration #NLP
#FacebookAI released TransCoder, an entirely self-supervised neural transcompiler system that is claimed to make code migration easier and more efficient.
ArXiV: https://arxiv.org/pdf/2006.03511.pdf
Github: https://github.com/facebookresearch/TransCoder/
#NLU #codegeneration #NLP
Blender Bot 2.0: An open source chatbot that builds long-term memory and searches the internet
Bot is capable of supporting a dialog and remembering the context of the sequential questions.
Blogpost: https://ai.facebook.com/blog/blender-bot-2-an-open-source-chatbot-that-builds-long-term-memory-and-searches-the-internet
Github: https://github.com/facebookresearch/ParlAI
Paper 1: https://parl.ai/projects/sea
Paper 2: https://parl.ai/projects/msc
#chatbot #NLU #facebookai
Bot is capable of supporting a dialog and remembering the context of the sequential questions.
Blogpost: https://ai.facebook.com/blog/blender-bot-2-an-open-source-chatbot-that-builds-long-term-memory-and-searches-the-internet
Github: https://github.com/facebookresearch/ParlAI
Paper 1: https://parl.ai/projects/sea
Paper 2: https://parl.ai/projects/msc
#chatbot #NLU #facebookai