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HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning

Jan 15, 2022
Andrey Zhmoginov, Mark Sandler, Max Vladymyrov

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Learning Models for Query by Vocal Percussion: A Comparative Study

Oct 18, 2021
Alejandro Delgado, SkoT McDonald, Ning Xu, Charalampos Saitis, Mark Sandler

* Published in proceedings of the International Computer Music Conference (ICMC) 2021 

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Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks

Jul 23, 2021
Andrey Zhmoginov, Dina Bashkirova, Mark Sandler

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Meta-Learning Bidirectional Update Rules

Apr 10, 2021
Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Andrew Jackson, Tom Madams, Blaise Aguera y Arcas

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Transfer Learning for Piano Sustain-Pedal Detection

Mar 24, 2021
Beici Liang, György Fazekas, Mark Sandler

* Published in 2019 International Joint Conference on Neural Networks (IJCNN) 

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SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection

Jan 04, 2021
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni

* Accepted by the ACCV2020 (Oral) 

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Large-Scale Generative Data-Free Distillation

Dec 10, 2020
Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard

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Image segmentation via Cellular Automata

Aug 13, 2020
Mark Sandler, Andrey Zhmoginov, Liangcheng Luo, Alexander Mordvintsev, Ettore Randazzo, Blaise Agúera y Arcas

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Structured Multi-Hashing for Model Compression

Nov 25, 2019
Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel A. Carreira-Perpinan

* Elad and Yair contributed equally to the paper. They jointly proposed the idea of structured-multi-hashing. Elad: Wrote most of the code and ran most of the experiments Yair: Main contributor to the manuscript Hao: Coding and experiments Yerlan: Coding and experiments Miguel: advised Yerlan about optimization and model compression Mark:experiments Andrew: experiments 

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Non-discriminative data or weak model? On the relative importance of data and model resolution

Oct 17, 2019
Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard

* ICCV 2019 Workshop on Real-World Recognition from Low-Quality Images and Videos 

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Adversarial Attacks in Sound Event Classification

Aug 15, 2019
Vinod Subramanian, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark Sandler

* Fixed Freesound data reference to FSDKaggle2018 

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Information-Bottleneck Approach to Salient Region Discovery

Jul 22, 2019
Andrey Zhmoginov, Ian Fischer, Mark Sandler

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Searching for MobileNetV3

May 14, 2019
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam

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K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning

Oct 25, 2018
Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew Howard

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NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

Sep 28, 2018
Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam

* Accepted by ECCV 2018 

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A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging

Jun 03, 2018
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark Sandler

* 5 pages. EUSIPCO 2018 camera-ready. arXiv:1706.02361 does not have the overlapped part with this submission anymore 

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A Tutorial on Deep Learning for Music Information Retrieval

May 03, 2018
Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark Sandler

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MobileNetV2: Inverted Residuals and Linear Bottlenecks

Apr 02, 2018
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen

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CycleGAN, a Master of Steganography

Dec 16, 2017
Casey Chu, Andrey Zhmoginov, Mark Sandler

* NIPS 2017, workshop on Machine Deception 

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The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging

Nov 14, 2017
Keunwoo Choi, George Fazekas, Kyunghyun Cho, Mark Sandler

* The section that overlapped with arXiv:1709.01922 is completely removed since the earlier version. This is the camera-ready version 

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Transfer learning for music classification and regression tasks

Sep 13, 2017
Keunwoo Choi, György Fazekas, Mark Sandler, Kyunghyun Cho

* 18th International Society of Music Information Retrieval (ISMIR) Conference, Suzhou, China, 2017 

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The Power of Sparsity in Convolutional Neural Networks

Feb 21, 2017
Soravit Changpinyo, Mark Sandler, Andrey Zhmoginov

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Towards Music Captioning: Generating Music Playlist Descriptions

Jan 15, 2017
Keunwoo Choi, George Fazekas, Brian McFee, Kyunghyun Cho, Mark Sandler

* 2 pages, ISMIR 2016 Late-breaking/session extended abstract 

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Convolutional Recurrent Neural Networks for Music Classification

Dec 21, 2016
Keunwoo Choi, George Fazekas, Mark Sandler, Kyunghyun Cho

* 5 pages, ICASSP 2017 submitted. Revised to fix previous CNN architectures and update experiment results 

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Explaining Deep Convolutional Neural Networks on Music Classification

Jul 08, 2016
Keunwoo Choi, George Fazekas, Mark Sandler

* 7 pages, 10 figures 

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Inverting face embeddings with convolutional neural networks

Jul 07, 2016
Andrey Zhmoginov, Mark Sandler

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