Garrison W. Cottrell

Orcid: 0000-0001-7538-1715

Affiliations:
  • University of California, San Diego, USA


According to our database1, Garrison W. Cottrell authored at least 128 papers between 1982 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Discovering and Mitigating Biases in CLIP-based Image Editing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data.
J. Cheminformatics, December, 2023

Multimodal Wildland Fire Smoke Detection.
Remote. Sens., 2023

2022
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection.
Remote. Sens., 2022

Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multimodal Wildland Fire Smoke Detection.
CoRR, 2022

Generating and Controlling Diversity in Image Search.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Automated Skin Biopsy Analysis with Limited Data.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Debiasing Image-to-Image Translation Models.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
ReZero is all you need: fast convergence at large depth.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Generalization in Cardiac Image Segmentation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Joint-Label Learning by Dual Augmentation for Time Series Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Representations for Incomplete Time Series Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables.
IEEE Trans. Cybern., 2020

DeePr-ESN: A deep projection-encoding echo-state network.
Inf. Sci., 2020

Generating Rationales in Visual Question Answering.
CoRR, 2020

Deflecting Adversarial Attacks.
CoRR, 2020

Speech Recognition and Multi-Speaker Diarization of Long Conversations.
Proceedings of the Interspeech 2020, 2020

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions.
Proceedings of the 8th International Conference on Learning Representations, 2020

To Dye or Not to Dye : The Effect of Hair Color on First Impressions.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Do you see what I see? A Cross-cultural Comparison of Social Impressions of Faces.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

The face inversion effect and the anatomical mapping from the visual field to the primary visual cortex.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Adversarial Dynamic Shapelet Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Temporal Pyramid Recurrent Neural Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Time series classification with Echo Memory Networks.
Neural Networks, 2019

LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition.
Proceedings of the 36th International Conference on Machine Learning, 2019

Triple-Shapelet Networks for Time Series Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Improving Neural Story Generation by Targeted Common Sense Grounding.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

On falsification and Optimal Experimental Design approaches to the value of information.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Modifying social dimensions of human faces with ModifAE.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Hierarchical Cellular Automata for Visual Saliency.
Int. J. Comput. Vis., 2018

Understanding Convolution for Semantic Segmentation.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

DeepJ: Style-Specific Music Generation.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Autofocus Layer for Semantic Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Deep active object recognition by joint label and action prediction.
Comput. Vis. Image Underst., 2017

Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework.
CoRR, 2017

Learning to see people like people.
CoRR, 2017

Belief tree search for active object recognition.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

WALKING WALKing walking: Action Recognition from Action Echoes.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning to See People like People: Predicting Social Perceptions of Faces.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Categorical vs Coordinate Relationships do not reduce to spatial frequency differences.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Recognizing and Curating Photo Albums via Event-Specific Image Importance.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration.
J. Cogn. Neurosci., 2016

A Single Model Explains both Visual and Auditory Precortical Coding.
CoRR, 2016

Event-Specific Image Importance.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Modeling the Visual Word Form Area Using a Deep Convolutional Neural Network.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Understanding human facial attractiveness from multiple views.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

A Deep Siamese Neural Network Learns the Human-Perceived Similarity Structure of Facial Expressions Without Explicit Categories.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Basic Level Categorization Facilitates Visual Object Recognition.
CoRR, 2015

Example Selection For Dictionary Learning.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Bikers Are Like Tobacco Shops, Formal Dressers Are Like Suits: Recognizing Urban Tribes with Caffe.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Turn, Turn, Turn: Perceiving Global and Local, Clockwise and Counterclockwise Rotations.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Efficient Visual Coding: From Retina To V2.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Predicting an observer's task using multi-fixation pattern analysis.
Proceedings of the Eye Tracking Research and Applications, 2014

Experience Matters: Modeling the Relationship Between Face and Object Recognition.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

TRACX 2.0: A memory-based, biologically-plausible model of sequence segmentation and chunk extraction.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

A Developmental Model of Hemispheric Asymmetry of Spatial Frequencies.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Hemispheric Asymmetry in Perception: A Differential Encoding Account.
J. Cogn. Neurosci., 2013

What Evidence Supports Special Processing for Faces? A Cautionary Tale for fMRI Interpretation.
J. Cogn. Neurosci., 2013

A Computational Model of the Development of Hemispheric Asymmetry of Face Processing.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Is Facial Expression Processing Holistic?
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Uniquely human developmental timing may drive cerebral lateralization and interhemispheric coupling.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
The Influence of Risk Aversion on Visual Decision Making.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Auditory Saliency Using Natural Statistics.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

A New Angle on the EMPATH Model: Spatial Frequency Orientation in Recognition of Facial Expressions.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Connectivity Asymmetry Can Explain Visual Hemispheric Asymmetries in Local/Global, Face, and Spatial Frequency Processing.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2010
Color Constancy Algorithms for Object and Face Recognition.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Robust classification of objects, faces, and flowers using natural image statistics.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Gamma-SLAM: Visual SLAM in unstructured environments using variance grid maps.
J. Field Robotics, 2009

2008
Convergence of the Visual Field Split: Hemispheric Modeling of Face and Object Recognition.
J. Cogn. Neurosci., 2008

Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Visual saliency model for robot cameras.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Looking around the backyard helps to recognize faces and digits.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Learning grammatical structure with Echo State Networks.
Neural Networks, 2007

A probabilistic model of eye movements in concept formation.
Neurocomputing, 2007

2006
Phase space learning in an autonomous dynamical neural network.
Neurocomputing, 2006

Recursive ICA.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2003
Early lateralization and orientation tuning for face, word, and object processing in the visual cortex.
NeuroImage, 2003

Principled Methods for Advising Reinforcement Learning Agents.
Proceedings of the Machine Learning, 2003

2002
Analysis of Oscillations in a Reciprocally Inhibitory Network with Synaptic Depression.
Neural Comput., 2002

2000
A model of the leech segmental swim central pattern generator.
Neurocomputing, 2000

The Early Word Catches the Weights.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Organization of face and object recognition in modular neural network models.
Neural Networks, 1999

Fusion Via a Linear Combination of Scores.
Inf. Retr., 1999

1998
Optimizing Similarity Using Multi-Query Relevance Feedback.
J. Am. Soc. Inf. Sci., 1998

Predicting the Performance of Linearly Combined IR Systems.
Proceedings of the SIGIR '98: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998

Facial Memory Is Kernel Density Estimation (Almost).
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations.
Proceedings of the Hybrid Neural Systems, 1998

1997
Time-delay neural networks: representation and induction of finite-state machines.
IEEE Trans. Neural Networks, 1997

Tau Net A neural network for modeling temporal variability.
Neurocomputing, 1997

Fusion Via Linear Combination for the Routing Problem.
Proceedings of The Sixth Text REtrieval Conference, 1997

Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Task and Spatial Frequency Effects on Face Specialization.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996
Experience with selecting exemplars from clean data.
Neural Networks, 1996

HUMOUR: Degenerative Grammar: The Story of Outa.
Connect. Sci., 1996

Using Relevance to Train a Linear Mixture of Experts.
Proceedings of The Fifth Text REtrieval Conference, 1996

Representing Face Images for Emotion Classification.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Representation and Induction of Finite State Machines using Time-Delay Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Representing Documents Using an Explicit Model of Their Similarities.
J. Am. Soc. Inf. Sci., 1995

Learning in recurrent finite difference networks.
Int. J. Neural Syst., 1995

Programming the User-friendly Dog.
Connect. Sci., 1995

1994
A Connectionist Approach to Rate Adaptation.
SIGART Bull., 1994

Connectionist models of face processing: A survey.
Pattern Recognit., 1994

Acquiring the Mapping from Meaning to Sounds.
Connect. Sci., 1994

Automatic Combination of Multiple Ranked Retrieval Systems.
Proceedings of the 17th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Dublin, 1994

Phase-Space Learning.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Integrating Induction & Instruction: Connectionist Advice Taking.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
Dynamic rate adaptation.
Artif. Intell. Rev., 1993

Learning Mackey-Glass from 25 Examples, Plus or Minus 2.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Hopf bifurcation and Hopf hopping in recurrent nets.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Latent Semantic Indexing is an Optimal Special Case of Multidimensional Scaling.
Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Copenhagen, 1992

Non-Linear Dimensionality Reduction.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1990
EMPATH: Face, Emotion, and Gender Recognition Using Holons.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Grounding Meaning in Perception.
Proceedings of the GWAI-90, 1990

Some experiments on learning stable network oscillations.
Proceedings of the IJCNN 1990, 1990

Categorization of faces using unsupervised feature extraction.
Proceedings of the IJCNN 1990, 1990

1988
Parallel processing in computational linguistics.
Proceedings of the 12th International Conference on Computational Linguistics, 1988

1987
Toward Connectionist Semantics.
Proceedings of the Theoretical Issues in Natural Language Processing 3, 1987

1985
Parallelism in Inheritance Hierarchies with Exceptions.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1984
Re: Inheritance Hierarchies with Exceptions.
Proceedings of the Non-Monotonic Reasoning Workshop, 1984

A Model of Lexical Access of Ambiguous Words.
Proceedings of the National Conference on Artificial Intelligence. Austin, 1984

1982
Toward Connectionist Parsing.
Proceedings of the National Conference on Artificial Intelligence, 1982


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