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08/24/2023
Code Llama: Open Foundation Models for Code
We release Code Llama, a family of large language models for code based ...
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06/08/2023
Simple and Controllable Music Generation
We tackle the task of conditional music generation. We introduce MusicGe...
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04/20/2023
Leveraging Static Analysis for Bug Repair
We propose a method combining machine learning with a static analysis to...
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10/24/2022
High Fidelity Neural Audio Compression
We introduce a state-of-the-art real-time, high-fidelity, audio codec le...
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10/20/2021
Hierarchical Skills for Efficient Exploration
In reinforcement learning, pre-trained low-level skills have the potenti...
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05/07/2021
ResMLP: Feedforward networks for image classification with data-efficient training
We present ResMLP, an architecture built entirely upon multi-layer perce...
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04/20/2021
Differentiable Model Compression via Pseudo Quantization Noise
We propose to add independent pseudo quantization noise to model paramet...
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03/31/2021
Going deeper with Image Transformers
Transformers have been recently adapted for large scale image classifica...
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12/07/2020
MLS: A Large-Scale Multilingual Dataset for Speech Research
This paper introduces Multilingual LibriSpeech (MLS) dataset, a large mu...
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06/23/2020
Real Time Speech Enhancement in the Waveform Domain
We present a causal speech enhancement model working on the raw waveform...
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12/17/2019
Libri-Light: A Benchmark for ASR with Limited or No Supervision
We introduce a new collection of spoken English audio suitable for train...
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11/19/2019
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
We study ResNet-, Time-Depth Separable ConvNets-, and Transformer-based ...
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10/23/2019
Deja-vu: Double Feature Presentation in Deep Transformer Networks
Deep acoustic models typically receive features in the first layer of th...
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12/22/2017
