Bradley C. Love

Orcid: 0000-0002-7883-7076

Affiliations:
  • University College London, Department of Experimental Psychology, UK
  • University of Texas at Austin, Department of Psychology, TX, USA


According to our database1, Bradley C. Love authored at least 57 papers between 1998 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Large language models surpass human experts in predicting neuroscience results.
CoRR, 2024

2023
A too-good-to-be-true prior to reduce shortcut reliance.
Pattern Recognit. Lett., February, 2023

On Leakage in Machine Learning Pipelines.
CoRR, 2023

Getting aligned on representational alignment.
CoRR, 2023

Human-in-the-Loop Mixup.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Do Invariances in Deep Neural Networks Align with Human Perception?
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Abstract Neural Representations of Category Membership beyond Information Coding Stimulus or Response.
J. Cogn. Neurosci., 2022

Web-based Elicitation of Human Perception on mixup Data.
CoRR, 2022

Confound-leakage: Confound Removal in Machine Learning Leads to Leakage.
CoRR, 2022

2021
Exploring Alignment of Representations with Human Perception.
CoRR, 2021

Understanding top-down attention using task-oriented ablation design.
CoRR, 2021

Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning as the unsupervised alignment of conceptual systems.
Nat. Mach. Intell., 2020

Robust priors for regularized regression.
CoRR, 2020

The perceptual boost of visual attention is task-dependent in naturalistic settings.
CoRR, 2020

The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks.
CoRR, 2020

2019
Gerrymandering and computational redistricting.
J. Comput. Soc. Sci., 2019

2018
Estimating the functional dimensionality of neural representations.
NeuroImage, 2018

Conceptual Organization is Revealed by Consumer Activity Patterns.
CoRR, 2018

2017
Anterior Temporal Lobe Tracks the Formation of Prejudice.
J. Cogn. Neurosci., 2017

Medial prefrontal cortex compresses concept representations through learning.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Deep Networks as Models of Human and Animal Categorization.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2015
The Algorithmic Level Is the Bridge Between Computation and Brain.
Top. Cogn. Sci., 2015

Unfazed by Both the Bull and Bear: Strategic Exploration in Dynamic Environments.
Games, 2015

Active learning as a means to distinguish among prominent decision strategies.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Generative and Discriminative Models in Cognitive Science.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
"You may have a cancer-causing virus and not even know it" Fear appeals in online news.
First Monday, 2014

Optimal Teaching for Limited-Capacity Human Learners.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Choice exploration and exploitation in purchase decisions: a longitudinal study of customers' exploration and exploitation of supermarket products.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Heuristics as a special case of Bayesian Inference.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Moot Point Process Models.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Experiments in dynamic group action and decision making: How crowds of people can walk a tightrope together and survive a zombie attack.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

When is it rational to rely on heuristics?
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Are forgetting processes crucial to category learning?
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
How Humans Teach Agents - A New Experimental Perspective.
Int. J. Soc. Robotics, 2012

Exploring Psychosocial Support Online: A Content Analysis of Messages in an Adolescent and Young Adult Cancer Community.
Cyberpsychology Behav. Soc. Netw., 2012

Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Structural Priming as Structure-Mapping: Children Use Analogies From Previous Utterances to Guide Sentence Production.
Cogn. Sci., 2011

Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Moving Beyond Where and What to How: Using Models and fMRI to Understand Brain-Behavior Relations.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Becoming a Gamer: Cognitive Effects of Real-Time Strategy Gaming.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Determinants of learning difficulty and boundary uncertainty in unidimensional category learning.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior.
Cogn. Sci., 2010

2009
Patient education on mobile devices: an e-health intervention for low health literate audiences.
J. Inf. Sci., 2009

Seeing the World through an Expert's Eyes: Context-Aware Display as a Training Companion.
Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2006
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples.
Proceedings of the Proceedings, 2006

2004
Dimension-Wide vs. Exemplar-Specific Attention in Category Learning and Recognition.
Proceedings of the International Conference on Cognitive Modelling, 2004

2003
Towards a unified account of supervised and unsupervised category learning.
J. Exp. Theor. Artif. Intell., 2003

Human Unsupervised and Supervised Learning as a Quantitative Distinction.
Int. J. Pattern Recognit. Artif. Intell., 2003

CAB: Connectionist Analogy Builder.
Cogn. Sci., 2003

2002
Similarity and Categorization: A Review.
AI Mag., 2002

Modeling Unsupervised Learning with SUSTAIN.
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

2000
Modeling Classification and Inference Learning.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1998
Feature Centrality and Conceptual Coherence.
Cogn. Sci., 1998

Utilizing lime: Asynchronous Binding.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

SUSTAIN: A Model of Human Category Learning.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998


  Loading...