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Publication

August 15, 2024

Integrity

Computer Vision

Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds

Mark Tygert, Chuan Guo, Kamalika Chaudhuri, Laurens van der Maaten, Saeed Mahloujifar

August 15, 2024

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Publication

August 12, 2024

Core Machine Learning

Contrastive Predict-and-Search for Mixed Integer Linear Programs

Arman Zharmagambetov, Yuandong Tian, Aaron Ferber, Bistra Dilkina, Taoan Huang

August 12, 2024

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Publication

August 11, 2024

NLP

LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models

Javier Ferrando, Karen Hambardzumyan, Igor Tufanov, Lena Voita

August 11, 2024

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Publication

August 11, 2024

NLP

MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector

Elahe Kalbassi, Marta R. Costa-jussa, Carleigh Wood, Christophe Ropers, David Dale, Kae Hansanti, Mariano Coria Meglioli, Pierre Andrews

August 11, 2024

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Publication

August 10, 2024

NLP

Spectral Filters, Dark Signals, and Attention Sinks

Nicola Cancedda

August 10, 2024

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Publication

August 08, 2024

Core Machine Learning

Benchmarking Attacks on Learning with Errors

Eshika Saxena, Ellie Thieu, Emily Wenger, Kristin Lauter, Mohamed Malhou

August 08, 2024

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Publication

August 02, 2024

Core Machine Learning

GenCO: Generating Diverse Designs with Combinatorial Constraints

Arman Zharmagambetov, Yuandong Tian

August 02, 2024

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Publication

August 01, 2024

Speech & Audio

NLP

Toward Joint Language Modeling for Speech Units and Text

Ju-Chieh Chou, Karen Livescu, Alexis Conneau, Alexei Baevski, Wei-Ning Hsu, Arun Babu, Michael Auli

August 01, 2024

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Publication

July 31, 2024

NLP

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Lucas Bandarkar, Davis Liang, Mikel Artetxe, Benjamin Muller, Abhinandan Krishnan, Don Husa, Luke Zettlemoyer, Madian Khabsa, Naman Goyal, Satya Narayan Shukla

July 31, 2024

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Publication

July 29, 2024

Computer Vision

SAM 2: Segment Anything in Images and Videos

Eric Mintun, Junting Pan, Chao-Yuan Wu, Ross Girshick, Nikhila Ravi, Chay Ryali, Chloe Rolland, Christoph Feichtenhofer, Haitham Khedr, Kalyan Vasudev Alwala, Laura Gustafson, Nicolas Carion, Piotr Dollar, Roman Rädle, Ronghang Hu, Tengyu Ma, Valentin Gabeur, Yuan-Ting Hu

July 29, 2024

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Publication

July 29, 2024

Computer Vision

Core Machine Learning

Factorizing Text-to-Video Generation by Explicit Image Conditioning

Mian Akbar Shah, Devi Parikh, Samaneh Azadi, Andrew Brown, Ishan Misra, Mannat Singh, Quentin Duval, Rohit Girdhar, Saketh Rambhatla, Xi Yin

July 29, 2024

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Publication

July 24, 2024

Computer Vision

X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs

Randall Balestriero, Diane Bouchacourt, Kyunghyun Cho, Mark Ibrahim, Pietro Astolfi, Vivien Cabannes, Vlad Sobal, Yann LeCun

July 24, 2024

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Person

Luke Zettlemoyer

Seattle, United States

Luke Zettlemoyer is a research manager and site lead for FAIR Seattle. He is also a Professor in the Allen School of Computer Science & Engineering at t...

Research Area:

NLP

Conversational AI

Person

Madian Khabsa

Seattle, United States

Madian Khabsa is a research scientist at Facebook AI Research (FAIR), where he works to improve machine learning, natural language processing, and multi...

Research Area:

NLP

Conversational AI

Person

Maha Elbayad

Menlo Park, United States

Maha is a Research Scientist at Fundamental AI Research (FAIR / AI at Meta), where she works on Natural Language Processing (NLP) and Speech. Her resear...

Research Area:

NLP

Computer Vision

Person

Maja Pantic

London, United Kingdom

Maja Pantic is an AI Scientific Research Lead in Facebook and a Professor of Affective and Behavioral Computing at Imperial College London, working on m...

Research Area:

Computer Vision

Person

Mannat Singh

New York City, United States

Mannat is a Research Engineer at Facebook AI Research in New York, focusing on computer vision and deep learning. He previously worked at Bloomberg and ...

Research Area:

Computer Vision

Core Machine Learning

Person

Manohar Paluri

Menlo Park, United States

Manohar Paluri has worked on building Facebook’s Image and Video understanding platform since joining the company in 2012. His interests lie in using ...

Research Area:

Computer Vision

Person

Marc'Aurelio Ranzato

New York City, United States

Marc'Auerelio is a research scientist and manager at the Facebook AI Research (FAIR) lab, where he works to enable machines to learn with weaker supervi...

Research Area:

NLP

Computer Vision

Person

Marjan Ghazvininejad

Seattle, United States

Marjan is a Research Scientist at Facebook AI Research. Marjan received her Ph.D. at the University of Southern California on neural creative language g...

Research Area:

Conversational AI

NLP

Person

Mark Ibrahim

New York City, United States

How do we encode our intuitive ability to recognize the same dog while it's jumping during the day or hiding behind a tree at night? Mark is interested ...

Research Area:

Computer Vision

Core Machine Learning

Person

Maryam Fazel-Zarandi

New York City, United States

Maryam Fazel-Zarandi is a Research Engineering Manager and the Research Engineering Lead for North America for core ML and responsible AI at FAIR Labs. ...

Research Area:

NLP

Computer Vision

Person

Matt Le

New York City, United States

Matt is a Research Engineer at Facebook AI Research (FAIR) in NYC. Before joining FAIR, he spent 2 years working at the Mount Sinai School of Medicine i...

Research Area:

Computer Vision

Core Machine Learning

Person

Matthijs Douze

Paris, France

Matthijs Douze has been a research scientist at the Facebook AI Research (FAIR) lab in Paris since November 2015. At Facebook he is working on large-sca...

Research Area:

Integrity

Computer Vision

Blog

May 20, 2024

Open Source

Event Recap: First-Ever Meta Llama 3 Hackathon

This Mother’s Day weekend, we teamed up with Cerebral Valley to host the first-ever Meta Llama 3 hackathon along with 10 other sponsors.

May 20, 2024

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Blog

May 22, 2024

Open Source

Niantic Uses Meta Llama to Bring Digital Creatures to Life

To drive the virtual world of Peridot, Niantic integrated Meta Llama 2, transforming its “Dots” into responsive AR pets that now exhibit smart behaviors.

May 22, 2024

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Blog

June 06, 2024

Open Source

A social ‘study buddy’ gets a conversational lift from Meta Llama

Students can ask their AI-enabled study buddy questions on WhatsApp and Messenger and receive conversational replies that help them with their schoolwork.

June 06, 2024

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Blog

June 18, 2024

Research

Open Source

Sharing new research, models, and datasets from Meta FAIR

Meta FAIR is releasing several new research artifacts. Our hope is that the research community can use them to innovate, explore, and discover new ways to apply AI at scale.

June 18, 2024

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Blog

June 20, 2024

Open Source

How SAIF CHECK is using Meta Llama 3 to validate and build trust in AI models

SAIF CHECK built a model evaluation system using Meta Llama 3 to help companies ensure their AI models are compliant with local laws.

June 20, 2024

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Blog

July 23, 2024

Open Source

Introducing Llama 3.1: Our most capable models to date

Bringing open intelligence to all, our latest models expand context length, add support across eight languages, and include Meta Llama 3.1 405B— the first frontier-level open source AI model.

July 23, 2024

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Blog

July 23, 2024

Open Source

Expanding our open source large language models responsibly

Today, we’re sharing the measures and safeguards we’ve taken to responsibly scale the Llama 3.1 collection of models, including the 405B.

July 23, 2024

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Blog

August 07, 2024

Open Source

To fine-tune or not to fine-tune

In this post, we’ll discuss the following question: “When should we fine-tune, and when should we consider other techniques?”

August 07, 2024

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Blog

August 07, 2024

Open Source

How to fine-tune: Focus on effective datasets

In this post, we explore some rules of thumb for curating a good training dataset.

August 07, 2024

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Blog

August 08, 2024

Open Source

How LyRise uses Meta Llama to match candidates to AI careers

Leveraging Llama 2, LyRise has been able to build robust matching pipelines that present relevant candidates to clients—reducing time-to-hire by as much as 50%.

August 08, 2024

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Blog

August 09, 2024

Open Source

Zoom leverages Llama in its federated approach to AI

Zoom uses its models and closed-source and open-source large language models—including Llama—to power its AI Companion.

August 09, 2024

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Blog

August 28, 2024

Open Source

Building next generation solutions through open source AI

An early adopter of Llama 3.1, Infosys is leveraging its capabilities to unlock new efficiencies as part of the company’s commitment to staying at the forefront of open source.

August 28, 2024