Richard Klein - RankMe

34 papers A* 4B 2C 2Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CLARiTy: A Vision Transformer for Multi-Label Classification and Weakly-Supervised Localization of Chest X-ray Pathologies. CoRR John M. Statheros, Hairong Wang, Richard Klein
2025	A*	`conf`	Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks. ICLR Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe
2025	J	`jnl`	Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks. CoRR Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe
2025	J	`jnl`	Revisiting the Role of Relearning in Semantic Dementia. CoRR Devon Jarvis, Verena Klar, Richard Klein, Benjamin Rosman, Andrew M. Saxe
2025	J	`jnl`	Small Language Models Can Use Nuanced Reasoning For Health Science Research Classification: A Microbial-Oncogenesis Case Study. CoRR Muhammed Muaaz Dawood, Mohammad Zaid Moonsamy, Kaela Kokkas, Hairong Wang, Robert F. Breiman, Richard Klein, Emmanuel Sekyi, Bruce A. Bassett
2024	J	`jnl`	A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images. CoRR David Torpey, Lawrence Pratt, Richard Klein
2024	J	`jnl`	Affine transformation estimation improves visual self-supervised learning. CoRR David Torpey, Richard Klein
2024	J	`jnl`	DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning. CoRR David Torpey, Richard Klein
2024	J	`jnl`	DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning. Pattern Recognit. Lett. David Torpey, Richard Klein
2024	J	`jnl`	MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking. J. Electronic Imaging David Torpey, Max Parkin, Jonah Alter, Richard Klein, Steven James
2024	J	`jnl`	On The Specialization of Neural Modules. CoRR Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe
2023	—	`conf`	Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. AIIDE Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman
2023	A*	`conf`	Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
2023	J	`jnl`	Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. CoRR Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
2023	J	`jnl`	Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories. IEEE Trans. Games Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman
2023	A*	`conf`	On The Specialization of Neural Modules. ICLR Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe
2023	A*	`conf`	Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. IJCAI Nathan Michlo, Richard Klein, Steven James
2022	J	`jnl`	Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. CoRR Nathan Michlo, Devon Jarvis, Richard Klein, Steven James
2022	J	`jnl`	Data Overlap: A Prerequisite For Disentanglement. CoRR Nathan Michlo, Steven James, Richard Klein
2022	C	`conf`	Improved Action Prediction through Multiple Model Processing of Player Trajectories. CoG Branden Ingram, Benjamin Rosman, Clint J. van Alten, Richard Klein
2022	J	`jnl`	On the robustness of self-supervised representations for multi-view object classification. CoRR David Torpey, Richard Klein
2022	J	`jnl`	On the robustness of self-supervised representations for multi-view object classification. Pattern Recognit. Lett. David Torpey, Richard Klein
2022	C	`conf`	Play-style Identification through Deep Unsupervised Clustering of Trajectories. CoG Branden Ingram, Benjamin Rosman, Clint J. van Alten, Richard Klein
2021	J	`jnl`	Automated Parking Space Detection Using Convolutional Neural Networks. CoRR Julien Nyambal, Richard Klein
2021	J	`jnl`	Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing. CoRR Pierce Burke, Richard Klein
2021	—	`conf`	Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa. NeurIPS Datasets and Benchmarks Raesetje Sefala, Timnit Gebru, Nyalleng Moorosi, Luzango Mfupe, Richard Klein
2021	J	`jnl`	Explicit homography estimation improves contrastive self-supervised learning. CoRR David Torpey, Richard Klein
2021	J	`jnl`	Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware. CoRR Jared Harris-Dewey, Richard Klein
2021	—	`conf`	Improving Pose Estimation Through Contextual Activity Fusion. SACAIR David Poulton, Richard Klein
2021	J	`jnl`	Improving Pose Estimation through Contextual Activity Fusion. CoRR David Poulton, Richard Klein
2021	J	`jnl`	The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks. CoRR Richard Klein, Turgay Çelik
2020	J	`jnl`	Quantisation and Pruning for Neural Network Compression and Regularisation. CoRR Kimessha Paupamah, Steven James, Richard Klein
2017	B	`conf`	The Wits Intelligent Teaching System: Detecting student engagement during lectures using convolutional neural networks. ICIP Richard Klein, Turgay Çelik
2011	B	`conf`	Automated assessment of short free-text responses in computer science using latent semantic analysis. ITiCSE Richard Klein, Angelo Kyrilov, Mayya Tokman