2023
17 November 2023
- De Wet Denkema - Cooperative multi-agent reinforcement learning in 3D environments with curriculum-transfer learning
25 May 2023
- Janusz Meylahn - Algorithmic collusion with multi-agent reinforcement learning
16 May 2023 [video]
Herman Kamper - Towards automatically assessing E&E final-year projects
9 February 2023
- George Azzopardi - The role of brain-inspired inhibition in visual pattern recognition
2022
2 December 2022 [video]
- Gustav Eje Henter - Probabilistic motion animation with normalising flows
1 April 2022
- Mike Gartrell - An introduction to scalable nonsymmetric determinantal point processes
28 January 2022 [video]
- Francois Kamper - Applications of probabilistic graphical models
2021
29 October 2021 [video]
- Michael McGrath (Stone Three) - ML in production at Stone Three: a look at the use and process of vision-based ML in an industrial setting
22 October 2021 [video]
- Mkhuseli Ngxande - Bias remediation in driver drowsiness detection systems using generative adversarial networks
- Michael Deyzel - Temporal convolutional networks for skeleton-based action recognition.
8 October 2021 [video]
- Jacqueline Kazmaier - Enabling the future of healthcare through NLP
- James de Villiers - Mitochondrial fission, fusion and depolarisation event location prediction
17 September 2021 [video]
- Arnu Pretorius - Solving real-world problems using multi-agent reinforcement learning at scale
8 September 2021 [video]
- Andrew Murdoch - Developing a reinforcement learning agent to play Tetris
- JC Schoeman - Degenerate Gaussian factors for probabilistic inference
20 August 2021 [video]
- Benjamin van Niekerk - Analyzing speaker information in self-supervised models to improve zero-resource speech processing
- Kayode Olaleye - Attention-based keyword localisation in speech using visual grounding
- Leanne Nortje - Direct multimodal few-shot learning of speech and images
- Christiaan Jacobs - Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language
5 August 2021 [video]
- Amir Patel - Biomechanics unleashed: 3D markerless motion capture of cheetahs in wild
18 June 2021 [video]
- Greg Newman - Machine learning in production: a bag of tricks to get your model where it needs to go
2020
13 November 2020 [video]
- James Ellis - Multi-agent path finding with reinforcement learning [slides]
- Francois Rossoouw - Hierarchical reinforcement learning in Minecraft [slides]
- Cobus Louw - Solving sparse-reward problems in a partially observable 3D environment using distributed deep reinforcement learning [slides]
6 November 2020 [video]
- Willem Jordaan - Autonomous vehicles in a dynamic world [slides]
- Rensu Theart - Automatic mitochondrial event localisation using deep learning [slides]
23 October 2020 [video]
- Neil Burger - Model selection: when is overkill, overkill [slides]
- Stefan Strydom - Automatic assignment of diagnosis codes to free-form text medical notes [slides]
- Murray Louw - Data-driven system identification of a quadrotor with an unknown payload using regression algorithms
- Kayode Olaleye - Towards localisation of keywords in speech using weak supervision [slides]
16 October 2020 [video]
- Ulrich Paquet - Reimagining chess with AlphaZero
25 September 2020 [video]
- Jason Fourie - The Fascinating Math Behind UMAP
4 September 2020 [video]
- Henry Kotze - Neural network based disturbance rejection for a quadcopter [slides]
- Benjamin Evans - Obstacle avoidance for autonomous racing using reinforcement learning [slides]
- Benji van Niekerk - Vector quantized neural networks for acoustic unit discovery [slides]
21 August 2020 [video]
- Daniel B. le Roux - Digital devices and distracted minds: Eealuating evidence of the relationship between media use and cognitive control [slides]
7 August 2020 [video]
- Gert-Jan van Rooyen - Pirates, watermarks, bitcoin, lawyers and startups: taking research on a trip to Hollywood [slides]
6 March 2020
- Jan Buys - Neural text (de)generation [slides]
21 February 2020
- Febe de Wet, Thomas Niesler, Ewald van der Westhuizen, Astik Biswas (joint talk) - Automatic speech recognition and keyword spotting in under-resourced languages [slides 1, slides 2]
17 February 2020
- Scott Cameron - Stochastic gradient annealed importance sampling for efficient online marginal likelihood estimation [slides]
14 February 2020
- Adam Viktorin - Evolutionary computation - self-adaptive differential evolution [slides]
- Michal Pluhacek - Swarm intelligence - from metaheuristics to swarm robotics
6 February 2020
- Ryan Sweke - Tensor network methods for probabilistic modelling [slides]
28 January 2020
- Shane Josias - Batch construction and multitask learning in visual relationship recognition [slides]
- Lisa van Staden - Improving unsupervised acoustic word embeddings using speaker and gender information [slides]
- Aviwe Kohlakala - On automated ear-based authentication [slides]
- Fred de Villiers - Learning fine-grained control for mapless navigation [slides]
2019
8 November 2019
- Arnu Pretorius - Climate change and how machine learning can help [slides]
25 October 2019
- Steve Kroon - PLEASED: Planning, Learning, and Search for Decision-making [slides]
- Willie Brink - Computer Vision and stuff [slides]
- Hanno Coetzer - Biometric Authentication and Recognition [slides]
- David Hofmeyr - Fast Kernel Smoothing in Projection Pursuit [slides]
11 October 2019
- Jacomine Grobler - Supply chain data science: unleashing AI in the business domain [slides]
- Matthew Baas - Style transfer: Visual art with deep learning [slides]
23 August 2019
- Herman Kamper - Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks [slides]
16 August 2019
- Carlos A. Coello Coello - Where is the research on evolutionary multi-objective optimization heading to? [slides]
8 August 2019
- Shane Josias - Visual relationship recognition [slides]
- Emile Engelbrecht - Semi-supervised learning: Addressing class mismatch between labelled and unlabelled training sets
- Lisa van Staden - Removing nuisance variables from acoustic word embeddings [slides]
- Cornel Verburgh - Parallelising inference on probabilistic graphical models [slides]
- Burger Becker - Radio Galaxy Classification [slides]
26 July 2019
- Matthew Reynard - The challenge of surviving the night in Minecraft using reinforcement learning (dojo learning) [slides]
19 July 2019
- Jeanne Daniel - Towards automating healthcare question answering in a noisy multilingual low-resource setting [slides]
17 May 2019
- Corne van Daalen - Towards robust inference in graphical models [slides]
10 May 2019
- Matthias Treder - Tricks for kernel methods in large datasets [slides]
3 May 2019
- Dawie van den Heever - The ghost in the machine [slides]
- Andries Engelbrecht - Forecasting financial time series without recurrent connections [slides]
26 April 2019
- Volker Bertram - Demystifying A.I. (with maritime applications) [slides]
18 April 2019
- Bubacarr Bah - Geometry-preserving and sparse linear auto-encoders
5 April 2019
- Arnu Pretorius and Elan van Biljon - Our journey to NeurIPS 2018 [slides]
15 March 2019
- André Nortje - Deep image compression using BINet [slides]
- Trienko Grobler - Extracting high-volume traffic routes from ais spatial distribution maps [slides]
- Lydia de Lange - Machine learning for antenna array failure analysis [slides]
1 March 2019
- Arina Britz, Bruce Watson, Corné van Daalen, Hugo Touchette, Sugnet Lubbe, Trienko Grobler - Meet the MML Research Groups [slides]
2018
9 November 2018
- Emile Engelbrecht - Generative adversarial networks (GANs) tutorial [slides]
2 November 2018
- Bruce Watson - Inventive algorithmics and lattices [slides]
- JC Schoeman - Planning for autonomous robots using probabilistic graphical models [slides]
19 October 2018
- Grant Rotskoff - Neural networks as interacting particle systems [slides]
5 October 2018
- Jeanne Daniel - Language identification in short text using deep learning [slides]
- Herman Kamper - Visually grounded cross-lingual keyword spotting in speech [slides]
17 September 2018
- Benjamin Rosman - Reinforcement learning at Wits [slides]
6 September 2018
- Jacek Malec - Teaching robots to manipulate
31 August 2018
- Christopher Currin - Computational neuroscience: The brain-computer science interface [slides]
17 August 2018
- Armand du Plessis - Development and application of a short term power forecasting model for large-grid connected photovoltaic systems [slides]
- Luyolo Magangane - Deep knowledge modelling with recursive tensor neural networks [slides]
- Peter Thompson - Image and attribute based identification of Protea species using machine learning techniques [slides]
- Pieter Uys - Image reconstruction from EEG signals using convolutional neural networks [slides]
- Andreas Werle van der Merwe - Multi-class EEG classification through neuroevolution [slides]
8 August 2018
- Etienne Barnard - Generalization in deep learning: Who buys lunch? [slides]
27 July 2018
- Luca Steyn - Combining extreme value theory and machine learning for novelty detection [slides]
14 June 2018
- Ulrich Paquet - Recent advances in probabilistic inference [slides]
25 May 2018
- Frans Cronje - The application of VAEs to manufacturing data and practical experiments thereof [slides]
18 May 2018
- Stuart Reid - Deep learning in complex dynamical systems [slides]
26 April 2018
- Elan van Biljon - Creating intelligent agents with reinforcement learning [slides]
- Lydia de Lange - Deep learning for food security? Automatic plant disease recognition [slides]
- Felix McGregor - An introduction to sum-product networks: A new deep probabilistic architecture [slides]
20 April 2018
- Hugo Touchette - Applications of large deviation theory [slides]
- Hélène Nieuwoudt - Modelling the sensory space of varietal wines: Mining of large, unstructured text data and visualisation of style patterns
23 March 2018
- Arina Britz - Contextual defeasible ontologies [slides]
- Lidia Auret - Machine learning in mineral processing [slides]
9 March 2018
- Emre Yilmaz - Language and speaker recognition for semi-supervised bilingual acoustic model training [slides]
23 February 2018
- Miguel Smith - Pathfinding in an emulated Minecraft client [slides]
- Ryan Eloff - Teaching a robot to interpret natural language navigation instructions [slides]
9 February 2018
- Willie Brink - An introduction to MLNs and their use in visual relational learning [slides]
2017
7 December 2017
- Rasmus Dall - Jibo & his voice
10 November 2017
- Ben Herbst - Tutorial on variational autoencoders [slides]
3 November 2017
- Francois Kamper - An empirical study of Gaussian belief propagation and application in the detection of F-formations [slides]
- Simon Streicher - Graph coloring: Comparing cluster graphs to factor graphs [slides]
- Clint Lombard - Dense relative mapping: A novel approach to dense mapping for autonomous robots [slides]
27 October 2017
- Arnu Pretorius - Using learning dynamics to understand neural network generalisation [slides]
- Shane Josias - Automated identification of tsetse fly wing vein intersections [slides]
- Ewald van der Westhuizen - Automatic speech recognition of code-switched speech for South African languages [slides]
- Greg Newman - Deep learning for video classification [slides]
6 October 2017
- Herman Kamper - Unsupervised neural feature learning for speech using weak top-down constraints [slides]