Search Results for author: Jong Wook Kim

Found 12 papers, 6 papers with code

Robust Speech Recognition via Large-Scale Weak Supervision

5 code implementations Preprint 2022 Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, Ilya Sutskever

We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet.

 Ranked #1 on Speech Recognition on Common Voice English (using extra training data)

Robust Speech Recognition speech-recognition

Robust fine-tuning of zero-shot models

3 code implementations CVPR 2022 Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo-Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt

Compared to standard fine-tuning, WiSE-FT provides large accuracy improvements under distribution shift, while preserving high accuracy on the target distribution.

Ranked #10 on Image Classification on ObjectNet (using extra training data)

Image Classification Transfer Learning

Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications

no code implementations5 Aug 2021 Sandhini Agarwal, Gretchen Krueger, Jack Clark, Alec Radford, Jong Wook Kim, Miles Brundage

Recently, there have been breakthroughs in computer vision ("CV") models that are more generalizable with the advent of models such as CLIP and ALIGN.

Image Classification

Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning

no code implementations14 Jan 2021 Kennedy Edemacu, Beakcheol Jang, Jong Wook Kim

Multi-party machine learning is a paradigm in which multiple participants collaboratively train a machine learning model to achieve a common learning objective without sharing their privately owned data.

BIG-bench Machine Learning Privacy Preserving

Successive Point-of-Interest Recommendation with Local Differential Privacy

no code implementations26 Aug 2019 Jong Seon Kim, Jong Wook Kim, Yon Dohn Chung

A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to launch advertisements at appropriate locations.

Privacy Preserving Recommendation Systems

Adversarial Learning for Improved Onsets and Frames Music Transcription

no code implementations20 Jun 2019 Jong Wook Kim, Juan Pablo Bello

Automatic music transcription is considered to be one of the hardest problems in music information retrieval, yet recent deep learning approaches have achieved substantial improvements on transcription performance.

Information Retrieval Music Information Retrieval +2

Neural Music Synthesis for Flexible Timbre Control

no code implementations1 Nov 2018 Jong Wook Kim, Rachel Bittner, Aparna Kumar, Juan Pablo Bello

The recent success of raw audio waveform synthesis models like WaveNet motivates a new approach for music synthesis, in which the entire process --- creating audio samples from a score and instrument information --- is modeled using generative neural networks.

CREPE: A Convolutional Representation for Pitch Estimation

1 code implementation17 Feb 2018 Jong Wook Kim, Justin Salamon, Peter Li, Juan Pablo Bello

To date, the best performing techniques, such as the pYIN algorithm, are based on a combination of DSP pipelines and heuristics.

Information Retrieval Music Information Retrieval +1

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