Automated assessment of short free-text responses in computer science using latent semantic analysis. - Richard Klein 002; Angelo Kyrilov; Mayya Tokman (ITiCSE, 2011)

The Wits Intelligent Teaching System: Detecting student engagement during lectures using convolutional neural networks. - Richard Klein 002; Turgay Çelik 001 (ICIP, 2017)

Quantisation and Pruning for Neural Network Compression and Regularisation. - Kimessha Paupamah; Steven James 001; Richard Klein 002 (CoRR, 2020)

Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa. - Raesetje Sefala; Timnit Gebru; Nyalleng Moorosi; Luzango Mfupe; Richard Klein 002 (NeurIPS Datasets and Benchmarks, 2021)

Improving Pose Estimation Through Contextual Activity Fusion. - David Poulton; Richard Klein 002 (SACAIR, 2021)

Explicit homography estimation improves contrastive self-supervised learning. - David Torpey; Richard Klein 002 (CoRR, 2021)

Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing. - Pierce Burke; Richard Klein 002 (CoRR, 2021)

Automated Parking Space Detection Using Convolutional Neural Networks. - Julien Nyambal; Richard Klein 002 (CoRR, 2021)

Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware. - Jared Harris-Dewey; Richard Klein 002 (CoRR, 2021)

Play-style Identification through Deep Unsupervised Clustering of Trajectories. - Branden Ingram; Benjamin Rosman; Clint J. van Alten; Richard Klein 002 (CoG, 2022)

Improved Action Prediction through Multiple Model Processing of Player Trajectories. - Branden Ingram; Benjamin Rosman; Clint J. van Alten; Richard Klein 002 (CoG, 2022)

Data Overlap: A Prerequisite For Disentanglement. - Nathan Michlo; Steven James 001; Richard Klein 002 (CoRR, 2022)

Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. - Nathan Michlo; Devon Jarvis; Richard Klein 002; Steven James 001 (CoRR, 2022)

On the robustness of self-supervised representations for multi-view object classification. - David Torpey; Richard Klein 002 (Pattern Recognit. Lett., 2022)

Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. - Branden Ingram; Clint J. van Alten; Richard Klein 002; Benjamin Rosman (AIIDE, 2023)

On The Specialization of Neural Modules. - Devon Jarvis; Richard Klein 002; Benjamin Rosman; Andrew M. Saxe (ICLR, 2023)

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. - Nathan Michlo; Richard Klein 002; Steven James 001 (IJCAI, 2023)

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. - Michael Beukman; Devon Jarvis; Richard Klein 002; Steven James 001; Benjamin Rosman (NeurIPS, 2023)

Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories. - Branden Ingram; Clint J. van Alten; Richard Klein 002; Benjamin Rosman (IEEE Trans. Games, 2023)

Affine transformation estimation improves visual self-supervised learning. - David Torpey; Richard Klein 002 (CoRR, 2024)

A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images. - David Torpey; Lawrence Pratt; Richard Klein 002 (CoRR, 2024)

MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking. - David Torpey; Max Parkin; Jonah Alter; Richard Klein 002; Steven James 001 (J. Electronic Imaging, 2024)

DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning. - David Torpey; Richard Klein 002 (Pattern Recognit. Lett., 2024)

Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks. - Devon Jarvis; Richard Klein 002; Benjamin Rosman; Andrew M. Saxe (ICLR, 2025)

Revisiting the Role of Relearning in Semantic Dementia. - Devon Jarvis; Verena Klar; Richard Klein 002; Benjamin Rosman; Andrew M. Saxe (CoRR, 2025)

Small Language Models Can Use Nuanced Reasoning For Health Science Research Classification: A Microbial-Oncogenesis Case Study. - Muhammed Muaaz Dawood; Mohammad Zaid Moonsamy; Kaela Kokkas; Hairong Wang; Robert F. Breiman; Richard Klein 002; Emmanuel Sekyi; Bruce A. Bassett (CoRR, 2025)

CLARiTy: A Vision Transformer for Multi-Label Classification and Weakly-Supervised Localization of Chest X-ray Pathologies. - John M. Statheros; Hairong Wang; Richard Klein 002 (CoRR, 2025)

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities. - Devon Jarvis; Richard Klein 002; Benjamin Rosman; Steven James 001; Stefano Sarao Mannelli (CoRR, 2026)