DeepLearn 2023 Winter
8th International School
on Deep Learning
Bournemouth, UK · January 16-20, 2023
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  • Poster DeepLearn 2023 Winter
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    • Travel from London to Bournemouth
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  • Home
  • Schedule
  • Lecturers
  • News
  • Accommodation
  • Info
    • Travel from London to Bournemouth
    • Sponsoring
    • Code of conduct
    • Visa
    • Testimonials
KEYNOTE

Keynote speakers

deeplearn-speaker-yi-ma

Yi Ma

University of California, Berkeley

On the Principles of Parsimony and Self-Consistency: Structured Compressive Closed-Loop Transcription

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Daphna Weinshall

Daphna Weinshall

Hebrew University of Jerusalem

Curriculum Learning in Deep Networks

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Eric P. Xing

Eric P. Xing

Carnegie Mellon University

It Is Time for Deep Learning to Understand Its Expense Bills [virtual]

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SPEAKERS

Lecturers

Matias Carrasco Kind

Matias Carrasco Kind

University of Illinois, Urbana-Champaign

[intermediate] Anomaly Detection

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deeplearn-speaker-nitesh-chawla

Nitesh Chawla

University of Notre Dame

[introductory/intermediate] Graph Representation Learning

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Sumit Chopra

Sumit Chopra

New York University

[intermediate] Deep Learning for Healthcare

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Luc De Raedt

Luc De Raedt

KU Leuven

[introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence

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Marco Duarte

Marco Duarte

University of Massachusetts, Amherst

[introductory/intermediate] Explainable Machine Learning

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Joao Gama

João Gama

University of Porto

[introductory] Learning from Data Streams: Challenges, Issues, and Opportunities

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Claus Horn

Claus Horn

Zurich University of Applied Sciences

[intermediate] Deep Learning for Biotechnology

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Zhiting Hu & Eric P. Xing

Zhiting Hu & Eric P. Xing

University of California, San Diego & Carnegie Mellon University

A “Standard Model” for Machine Learning with All Experiences [virtual]

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deeplearn-speaker-nathalie-japkowicz

Nathalie Japkowicz

American University

[intermediate/advanced] Learning from Class Imbalances

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deeplearn-speaker-gregor-kasieczka

Gregor Kasieczka

University of Hamburg

[introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models

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Karen Livescu

Karen Livescu

Toyota Technological Institute at Chicago

[intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond

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deeplearn-speaker-david-mcallerster

David McAllester

Toyota Technological Institute at Chicago

[intermediate/advanced] Information Theory for Deep Learning

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deeplearn-speaker-dhabaleswar-k-panda

Dhabaleswar K. Panda

Ohio State University

[intermediate] Exploiting High-performance Computing for Deep Learning: Why and How?

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Fabio Roli

Fabio Roli

University of Genova

[introductory/intermediate] Adversarial Machine Learning

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Bracha Shapira

Bracha Shapira

Ben-Gurion University of the Negev

[introductory/intermediate] Recommender Systems

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deeplearn-speaker-kunal-tawar

Kunal Talwar

Apple

[introductory/intermediate] Foundations of Differentially Private Learning

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Tinne Tuytelaars

Tinne Tuytelaars

KU Leuven

[introductory/intermediate] Continual Learning in Deep Neural Networks

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deeplearn-speaker-lyle-ungar

Lyle Ungar

University of Pennsylvania

[intermediate] Natural Language Processing using Deep Learning

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speakers-bram-van-ginneken

Bram van Ginneken

Radboud University Medical Center

[introductory/intermediate] Deep Learning for Medical Image Analysis

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deeplearn-speaker-yudong-zhang

Yu-Dong Zhang

University of Leicester

[introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis

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DeepLearn 2022 Winter

CO-ORGANIZERS

Bournemouth University
Department of Computing and Informatics

Universitat Rovira i Virgili, Tarragona

Institute for Research Development, Training and Advice – IRDTA, Brussels/London

Active links
  • DeepLearn 2023 Summer – 10th International Gran Canaria School on Deep Learning
  • BigDat 2023 Summer – 7th International School on Big Data
  • DeepLearn 2023 Spring – 9th International School on Deep Learning
Past links
  • DeepLearn 2022 Autumn
  • DeepLearn 2022 Summer
  • DeepLearn 2022 Spring
  • DeepLearn 2021 Summer
  • DeepLearn 2019
  • DeepLearn 2018
  • DeepLearn 2017
© IRDTA 2022. All Rights Reserved.
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