Indaba 2019 Programme
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Saturday, 24 August
Early Arrivals
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09:00 - 18:00
NairobiArrivals in Nairobi and check-in
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15:00 - 17:00
Registration in Chill Park. Use Invitation Letter to Access KU Campus.
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Sunday, 25 August
Welcome Day and Background
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09:00 - 18:00
NairobiArrivals in Nairobi and check-in
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11:00 - 17:00
Registration in Chill Park. Use Invitation Letter to Access KU Campus.
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12:00 - 14:00
EBR30Learn the key concepts of probability and differential calculus necessary to gain the most from the rest of the week’s programme.Speaker: Dr Karim Beguir (InstaDeep) -
12:00 - 14:00
SCC008A refresher course on programming in Python.Speaker: Practical Tutors -
14:00 - 16:00
SCC 008/SCC 003
Understand classification using a machine-learning model, loss functions, decision boundaries, and begin using TensorFlow. [More...] -
14:00 - 16:00
SCC 108 / SCC 103
Understand the ideas behind back-propogation and automatic differentiation, and use this understanding to code a deep learning framework from scratch (advanced material) [More...] -
14:00 - 16:00
SCC 203 / SCC 209
Advanced Indaba attendees can form teams to work on one of a set of Hackthon problems during the practical sessions during the week. -
16:00 - 16:30
Chill ZoneBreak
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16:30 - 18:30
EBR 30A tutorial on the basics of Deep Learning. Will also be useful for the code session on Monday.Speaker: Dr Pashmina Cameron (Microsoft) -
16:30 - 18:30
EBR 100Content to be updated.Speaker: Dr Ulrich Paquet (DeepMind) -
18:30 - 19:00
KUBuses from KU to Windsor Hotel. -
19:00 -
Windsor Golf Course and HotelWindsor Golf Course and Hotel for an evening to get to know each other and get excited about the week ahead.
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Monday, 26 August
Strengthening Foundations
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07:00 - 08:30
Chill ParkRegistration and Morning Coffee
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08:30 - 09:15
SCZ39Indaba Oganiser's and Host Welcome
Speakers: Kenyatta Univ. VC, Prof. Paul Wainaina, Prof. Bitange Ndemo, Kathleen Siminyu, Ulrich Paquet -
9:15 - 10:30
SCZ39Keynote: Innovations for Global Impact: My Journey as a Researcher in Africa
Dr Aisha Walcott-Bryant (IBM) -
10:30 - 11:00
Chill ZoneBreak
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11:00 - 13:00
SCC 008 / SCC 003
Train a multi-layer perceptron to classify images of clothing, and understand how to build models that generalise. [More...] -
11:00 - 13:00
SCC 108 / SCC 103
Understand what optimisation algorithms are, and how they are used in the context of deep learning to train the weights of neural networks. [More...] -
11:00 - 13:00
SCC 203 / SCC 209
TBC -
13:00 - 14:30
Chill ZoneLunch Break
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14:30 - 16:00
SCZ39Keynote: Leveraging AI to Accelerate Discovery in Life Science and Deliver Precision
Prof. Abdoulaye Baniro Diallo (Univ. of Montreal) -
16:00 - 16:30
Chill ZoneBreak
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16:30 - 18:30
SCZ39Introduction to convolutional networks for image classification and spatial data.Speakers: James Allingham (University of Cambridge) -
16:30 - 18:30
EBR30An introduction to generative models, variational inference and generative adversarial networks.Speaker: Adji Boussi Dieng (Columbia University) -
16:30 - 18:30
EBR 100A session to explore the approach and use of AI in KenyaSpeakers: Prestone Adie and others -
16:30 - 18:30
EBR 432A Deep dive into Data Science to discuss issues of data science in practice, handling data, and testing and deplouying data solutions.Speakers: Victor Akinwande, Ala Eddine Ayadi, Nyalleng Moorosi, Alfred Ongere, Celina Lee, Mahlatse Mbooi. -
19:00 onwards
KUCC(Signup required/By invitation) Indaba Women in Machine Learning Time
Hosted in partnership with Microsoft. With Tempest van Schaik, Pashmina Cameron, Adji Bousso Dieng, Grace Bomu
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Tuesday, 27 August
Going Deeper
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07:30 - 08:30
Chill ZoneMorning Coffee
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8:30 - 9:00
SCZ39Kambule Dissertation Awards
PhD and MSc winners: Marcellin Atemkeng, Hicham Hammouchi -
9:00 - 10:30
SCZ39Keynote: Beyond Buzzwords: Innovation, Imagination, and Inequity in the 21st Century
Prof. Ruha Benjamin (Princeton Univ) -
10:30 - 11:00
Chill ZoneBreak
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11:00 - 13:00
SCC 08 / SCC03
Understand when and how convolutional layers are useful, and use them to solve image classification tasks. [More...] -
11:00 - 13:00
SCC 108 / SCC 103
Understand the differences between generative and discriminative modelling, and use Generative Adverserial Nets and Variational Auto Encoders to generate new examples of images of clothing. [More...] -
11:00 - 13:00
SCC 203 / SCC 209
TBC -
13:00 - 14:30
Chill ZoneLunch Break
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14:30 - 16:00
SCZ 39An introduction to the principles and practice of recurrent neural networks and modelling sequential data.Speaker: Avishkar Bhoopchand (DeepMind) -
14:30 - 16:00
EBR 100Attentional and Memory systemSpeaker: Kris Sankaran (Montreal Institute for Learning Algorithms (MILA)), Aidan Gomez (Univ. Oxford) -
14:30 - 16:30
EBR 30Introduction to black box search, and bayesian optimisation.Speaker: Dr Marc Deisenroth (Imperial College London) -
14:30 - 16:00
EBR 432Basic concepts in reinforcement learning.Speaker: Dr Sekou Remy (IBM Research) -
16:00 - 16:30
Chill ZoneBreak
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16:30 - 18:30
SCC 08 / SCC03
Understand the problems that recurrent neural nets are used for, explore the ideas behind architectures like the LSTM, and use an RNN model to create plausible-sounding English text. [More...] -
16:30 - 18:30
SCC 108 / SCC 103
Explain the core challenge of Reinforcement Learning using the CartPole task, and show various solutions to it, ending with training a neural network with policy gradients. [More...] -
16:30 - 18:30
SCC 203 / SCC 209
TBC -
19:00 - 20:00
SCZ 39;(Optional/No signup) How to Write a Great Research Proposal (Part I)
Speakers: Daniela Massiceti and Laura Seville
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Wednesday, 28 August
Celebrating Research Across Africa
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8:30 - 9:30
SCZ39Keynote: Seeking Research Impact at the Grassroots - The Role of AI
Dr Ciira wa Maina (Dedan Kimathi Univ) -
9:30 - 10:30
SCZ39Symposium Session Spotlight Talks I
IndabaX Representatives -
10:30 - 11:00
Chill ZoneBreak
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11:00 - 11:30
SCZ39Invited Talk: Enhancing E-learning using Artificial Intelligence Techniques
Dr. Maina Elizaphan Muuro (Kenyatta University) -
11:30 - 12:45
SCZ39Symposium Session Spotlight Talks II
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12:45 - 13:00
SCZ39Group Photo Outside SCZ
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13:00 - 14:30
Chill ZoneLunch Break
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14:00 - 16:00
EBRPoster Session I
See website for allocations -
16:00 - 16:30
Chill ZoneBreak
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16:30 - 18:30
EBRPoster Session I
See website for allocations -
19:30 - 20:30
SCZ39(Optional/No signup) Video lecture and hangout with Andrew Ng
Prof. Andrew Ng (deeplearning.ai) -
19:15 - 22:00
KUCC;(Signup required/By Invitation) Apple Mentoring Session
Team from Apple
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Thursday, 29 August
Parallel Tracks
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07:30 - 08:30
Chill ZoneMorning Coffee
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8:30 - 9:00
SCZ39Maathai Impact
Winners: Dr Bayo Adekanmbi -
9:30 - 10:30
SCZ39Keynote: The Future of Multitask Learning
Dr Richard Socher (Salesforce) -
10:30 - 11:00
Chill ZoneBreak
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11:00 - 13:00
EBR 30Two talks. Richard Socher on Multitask learning in NLP and DecaNLP. And Vukosi Marivate on NLP Challenges and opportunities on the continent.Speakers: Richard Socher (Salesforce), Vukosi Marivate (Univ of Pretoria), and others -
11:00 - 13:00
EBR 100Join us for a deep dive into everything computer vision: from cutting-edge research in 3D and video understanding to deploying computer vision at scale. Hear from experts at Facebook AI Research on how computer vision works in research, in deployment, and in the real-world!Speakers: Dr Manohar Paluri (FAIR), Dr Natalia Neverova (FAIR) -
11:00 - 13:00
SCZ 39Content to be updated.Speakers: Dr Karim Beguir (InstaDeep), Stuart Reid -
11:00 - 13:00
EBR 432Applied machine learning that solves real-world problems is hard. Data is messy, timelines are short, data engineers are rare, and deployment technology changes quickly. Join us to learn what is needed to take a model in your notebook to an MVP, and the challenges you'll face along the way and after that. Let our ML Agony Aunt team answer your questions, trials and tribulations, and tell our stories of real-life machine learning disasters! https://sites.google.com/view/mlinprodSpeakers: Daniele Orner, Amel Sellami, Tempest Van Schaaik, Njoroge Kinyanjui, Jade Abbott, Brian Muhia -
13:00 - 14:30
Chill ZoneLunch Break
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14:30 - 16:00
SCZ 39Content to be updated.Speakers: Dr. Meredith S. Palmer (Princeton University) and Stig Petersen (DeepMind) -
14:30 - 16:00
EBR 432What is a research proposal? Why do I need one? What does a good one look like? Formulating your research ideas and writing a good proposal is an integral part of post-graduate study and beyond. Join us, a panels of ML experts, in an interactive session where we will give insights into how to make YOUR research proposal the best that it can be!Speakers: Daniela Massiceti (Univ. of Oxford) and Dr Laura Sevilla (Univ. of Edinburgh) -
14:30 - 16:00
EBR 100Content to be updated.Speakers: Prof. Stefano Ermon (Stanford Univ/Atlas.io), and Rockefeller Foundation -
14:30 - 16:00
SCC 203 / SCC 209
TBC -
16:00 - 16:30
Chill ZoneBreak
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16:30 - 18:30
EBR 30Jade Abott, Machine translation for African languages; Sebastian Ruder, Kathleen Siminyu, An exploration of Bantu languages through multi-lingual word embeddings; Brian Muhia, A visual exploration of concepts shared between related Bantu languages; Herman Kamper, (More than) speech recognition for low-resource languagesSpeakers: Jade Abott (RetroRabbit), Sebastian Ruder (DeepMind), Kathleen Siminyu (AI4D), Brian Muhia, Herman Kamper (Stellenbosch Univ) -
16:30 - 18:30
EBR100Join us for part II of our deep-dive into computer vision. Here, Dr Laura Sevilla will be talking about her research in computer vision applied to videos, specifically motion in videos and its applications to robotics. We will wrap up with an in-depth panel discussion on where computer vision is going next and what are the field's biggest challenges.Speakers: Dr Laura Sevilla (Univ. of Edinburgh), Panel: Dr Manohar Paluri (FAIR), Dr Natalia Neverova (FAIR), Dr Laura Sevilla (Univ. of Edinburgh), Daniela Massiceti (Univ. of Oxford; moderator) -
16:30 - 18:30
EBR 432Content to be updated.Speaker: Dr Benjamin Rosman (Univ of the Witwatersrand) -
16:30 - 18:30
SCZ 39Content to be updated.Speakers: Prof. Delmiro Fernandes Reyes (UCL), Gilbert Lim (National University Singapore), Jonathan Gerrand (Univ of the Witwatersrand), Olivier Bent (Univ of Oxford) -
16:30 - 18:30
SCC 203 / SCC 209
TBC -
19:30 - 20:30
SCZ 39;(Optional/No signup) Video lecture and hangout with Prof. Fei Fei Li
Prof. Fei Fei Li (Stanford Univ)
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Friday, 30 August
Closing
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07:30 - 08:30
Chill ZoneMorning Coffee
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8:30 - 10:30
EBR100Content to be updated.Speakers: Dr Benjamin Rosman and others -
8:30 - 10:30
EBR 30Pete Warden talks about Why the Future of Machine Learning is Tiny,Speakers: Sara Hooker (Google), Pete Warden (Google) -
8:30 - 10:30
SCZ 39In Partnership with UNESCO. Session websiteSpeakers: Dr Nazneen Fatema Rajani (Salesforce), Teki Akuetteh Falconer (Nsiah Akuetteh and Co.), Grace Mutung’u ( KICTANet) -
8:30 - 10:30
EBR 432A way for Africans who speak French as their first language to connect. And to share ideas on support that they think would be most useful.Speakers: Adji Dieng, Abdoulaye Diallo and others -
8:30 - 10:30
SCC 203 / SCC 209
TBC -
10:30 - 11:00
Chill ZoneBreak
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11:00 - 13:00
EBR 432In this session we will develop software to collect data from sensors connected to a NUCLEO F446RE board. We will also visualise the data collected and perform interpolation using Gaussian process regression. We will introduce a number of technologies including hardware programming, LoRa connectivity, MQTT and time series databases. Prior to the session, please have a look at the GitHub repo https://github.com/ciiram/indaba-maker-session-2019 and install the required software.Instructors: Dr Ciira wa Maina (Dedan Kimathi University), Jared Makario, Yuri Njathi, Humphry Shikunzi and Collins Emasi -
11:00 - 13:00
EBR100Content to be updated.Speakers: Dr Benjamin Rosman and others -
11:00 - 13:00
EBR30Content to be updated.Speakers: Dr Karim Beguir and Stuart Reid -
11:00 - 13:00
SCZ 39Part 2 of the half day workshop. Now looking at case studies in fairness. Session websiteSpeakers: Raymond Onouha (UNESCO), Josephine Miliza (Tunapanda Institute) Robert Muthuri (AI4D), Alex Comninos (AI4D) -
11:00 - 13:00
SCC 203 / SCC 209
TBC -
13:00 - 14:30
Chill ZoneLunch Break
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14:30 - 16:00
SCZ39Keynote: Reinforcement Learning for Optimizing Healthcare Decisions
Prof. Finale Doshi-Velez (Harvard University) -
16:00 - 16:30
Chill ZoneBreak
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16:30 - 18:00
SCZ39Keynote: Some new Insights On Transfer Learning
Prof. Samory Kpotufe (Columbia University) -
18:00 - 18:30
SCZ39Prizes and Indaba Closing
Organisers and winners -
18:30 - 19:00
TBCKU. -
19:00 -
Safari Park HotelHave fun, wind down, and celebrate new lessons, skills, goals and friendships for one final night.
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