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12/06/2022
Robust Speech Recognition via Large-Scale Weak Supervision
We study the capabilities of speech processing systems trained simply to...
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02/07/2022
Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations
Due to privacy concerns, multi-party gradient tree boosting algorithms h...
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01/24/2022
Text and Code Embeddings by Contrastive Pre-Training
Text embeddings are useful features in many applications such as semanti...
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09/04/2021
Robust fine-tuning of zero-shot models
Large pre-trained models such as CLIP offer consistent accuracy across a...
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08/05/2021
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications
Recently, there have been breakthroughs in computer vision ("CV") models...
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02/26/2021
Learning Transferable Visual Models From Natural Language Supervision
State-of-the-art computer vision systems are trained to predict a fixed ...
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01/14/2021
Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning
Multi-party machine learning is a paradigm in which multiple participant...
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04/30/2020
Jukebox: A Generative Model for Music
We introduce Jukebox, a model that generates music with singing in the r...
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08/26/2019
Successive Point-of-Interest Recommendation with Local Differential Privacy
A point-of-interest (POI) recommendation system plays an important role ...
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06/20/2019
Adversarial Learning for Improved Onsets and Frames Music Transcription
Automatic music transcription is considered to be one of the hardest pro...
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11/01/2018
Neural Music Synthesis for Flexible Timbre Control
The recent success of raw audio waveform synthesis models like WaveNet m...
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02/17/2018
