Richard Klein

According to our database, Richard Klein authored at least 28 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities.

Devon Jarvis, Richard Klein, Benjamin Rosman, Steven James, Stefano Sarao Mannelli

CoRR, May, 2026

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

CoRR, December, 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, Emmanuel Sekyi, Bruce A. Bassett

CoRR, December, 2025

Revisiting the Role of Relearning in Semantic Dementia.

Devon Jarvis, Verena Klar, Richard Klein, Benjamin Rosman, Andrew M. Saxe

CoRR, March, 2025

Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks.

Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning.

David Torpey, Richard Klein

Pattern Recognit. Lett., 2024

MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking.

David Torpey, Max Parkin, Jonah Alter, Richard Klein, Steven James

J. Electronic Imaging, 2024

A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images.

David Torpey, Lawrence Pratt, Richard Klein

CoRR, 2024

Affine transformation estimation improves visual self-supervised learning.

David Torpey, Richard Klein

CoRR, 2024

2023

Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories.

Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman

IEEE Trans. Games, December, 2023

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies.

Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement.

Nathan Michlo, Richard Klein, Steven James

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On The Specialization of Neural Modules.

Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Creating Diverse Play-Style-Centric Agents through Behavioural Cloning.

Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

2022

On the robustness of self-supervised representations for multi-view object classification.

David Torpey, Richard Klein

Pattern Recognit. Lett., 2022

Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning.

Nathan Michlo, Devon Jarvis, Richard Klein, Steven James

CoRR, 2022

Data Overlap: A Prerequisite For Disentanglement.

Nathan Michlo, Steven James, Richard Klein

CoRR, 2022

Improved Action Prediction through Multiple Model Processing of Player Trajectories.

Branden Ingram, Benjamin Rosman, Clint J. van Alten, Richard Klein

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Play-style Identification through Deep Unsupervised Clustering of Trajectories.

Branden Ingram, Benjamin Rosman, Clint J. van Alten, Richard Klein

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware.

Jared Harris-Dewey, Richard Klein

CoRR, 2021

Automated Parking Space Detection Using Convolutional Neural Networks.

Julien Nyambal, Richard Klein

CoRR, 2021

Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing.

Pierce Burke, Richard Klein

CoRR, 2021

Explicit homography estimation improves contrastive self-supervised learning.

David Torpey, Richard Klein

CoRR, 2021

Improving Pose Estimation Through Contextual Activity Fusion.

David Poulton, Richard Klein

Proceedings of the Artificial Intelligence Research - Second Southern African Conference, 2021

Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa.

Raesetje Sefala, Timnit Gebru, Nyalleng Moorosi, Luzango Mfupe, Richard Klein

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Quantisation and Pruning for Neural Network Compression and Regularisation.

Kimessha Paupamah, Steven James, Richard Klein

CoRR, 2020

2017

The Wits Intelligent Teaching System: Detecting student engagement during lectures using convolutional neural networks.

Richard Klein, Turgay Çelik

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2011

Automated assessment of short free-text responses in computer science using latent semantic analysis.

Richard Klein, Angelo Kyrilov, Mayya Tokman

Proceedings of the 16th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2011