Toward Connectionist Parsing. - Steven L. Small; Garrison W. Cottrell; Lokendra Shastri (AAAI, 1982)

A Model of Lexical Access of Ambiguous Words. - Garrison W. Cottrell (AAAI, 1984)

Re: Inheritance Hierarchies with Exceptions. - Garrison W. Cottrell (NMR, 1984)

Parallelism in Inheritance Hierarchies with Exceptions. - Garrison W. Cottrell (IJCAI, 1985)

Toward Connectionist Semantics. - Garrison W. Cottrell (TINLAP, 1987)

Parallel processing in computational linguistics. - Garrison W. Cottrell; Pradip Dey; Joachim Diederich; Peter A. Reich; Lokendra Shastri; Akinori Yonezawa (COLING, 1988)

Categorization of faces using unsupervised feature extraction. - M. K. Fleming; Garrison W. Cottrell (IJCNN, 1990)

Some experiments on learning stable network oscillations. - Fu-Sheng Tsung; Garrison W. Cottrell; Allen I. Selverston (IJCNN, 1990)

Grounding Meaning in Perception. - Garrison W. Cottrell; Brian T. Bartell; Christopher Haupt (GWAI, 1990)

EMPATH: Face, Emotion, and Gender Recognition Using Holons. - Garrison W. Cottrell; Janet Metcalfe (NIPS, 1990)

Non-Linear Dimensionality Reduction. - David DeMers; Garrison W. Cottrell (NIPS, 1992)

Latent Semantic Indexing is an Optimal Special Case of Multidimensional Scaling. - Brian T. Bartell; Garrison W. Cottrell; Richard K. Belew (SIGIR, 1992)

Hopf bifurcation and Hopf hopping in recurrent nets. - Fu-Sheng Tsung; Garrison W. Cottrell (ICNN, 1993)

Learning Mackey-Glass from 25 Examples, Plus or Minus 2. - Mark Plutowski; Garrison W. Cottrell; Halbert White (NIPS, 1993)

Dynamic rate adaptation. - Garrison W. Cottrell; Mai H. Nguyen; Fu-Sheng Tsung (Artif. Intell. Rev., 1993)

Integrating Induction & Instruction: Connectionist Advice Taking. - David C. Noelle; Garrison W. Cottrell (AAAI, 1994)

Phase-Space Learning. - Fu-Sheng Tsung; Garrison W. Cottrell (NIPS, 1994)

Automatic Combination of Multiple Ranked Retrieval Systems. - Brian T. Bartell; Garrison W. Cottrell; Richard K. Belew (SIGIR, 1994)

Acquiring the Mapping from Meaning to Sounds. - Garrison W. Cottrell; Kim Plunkett (Connect. Sci., 1994)

Connectionist models of face processing: A survey. - Dominique Valentin; Hervé Abdi; Alice J. O'Toole; Garrison W. Cottrell (Pattern Recognit., 1994)

A Connectionist Approach to Rate Adaptation. - Mai H. Nguyen; Garrison W. Cottrell (SIGART Bull., 1994)

Programming the User-friendly Dog. - Garrison W. Cottrell (Connect. Sci., 1995)

Learning in recurrent finite difference networks. - Fu-Sheng Tsung; Garrison W. Cottrell (Int. J. Neural Syst., 1995)

Representing Documents Using an Explicit Model of Their Similarities. - Brian T. Bartell; Garrison W. Cottrell; Richard K. Belew (J. Am. Soc. Inf. Sci., 1995)

Representation and Induction of Finite State Machines using Time-Delay Neural Networks. - Daniel S. Clouse; C. Lee Giles; Bill G. Horne; Garrison W. Cottrell (NIPS, 1996)

Representing Face Images for Emotion Classification. - Curtis Padgett; Garrison W. Cottrell (NIPS, 1996)

Using Relevance to Train a Linear Mixture of Experts. - Christopher C. Vogt; Garrison W. Cottrell; Richard K. Belew; Brian T. Bartell (TREC, 1996)

HUMOUR: Degenerative Grammar: The Story of Outa. - Garrison W. Cottrell (Connect. Sci., 1996)

Experience with selecting exemplars from clean data. - Mark Plutowski; Garrison W. Cottrell; Halbert White (Neural Networks, 1996)

Task and Spatial Frequency Effects on Face Specialization. - Matthew N. Dailey; Garrison W. Cottrell (NIPS, 1997)

Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure. - Jeanne C. Milostan; Garrison W. Cottrell (NIPS, 1997)

Fusion Via Linear Combination for the Routing Problem. - Christopher C. Vogt; Garrison W. Cottrell (TREC, 1997)

Tau Net A neural network for modeling temporal variability. - Mai H. Nguyen; Garrison W. Cottrell (Neurocomputing, 1997)

Time-delay neural networks: representation and induction of finite-state machines. - Daniel S. Clouse; C. Lee Giles; Bill G. Horne; Garrison W. Cottrell (IEEE Trans. Neural Networks, 1997)

A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations. - William C. Morris; Garrison W. Cottrell; Jeffrey L. Elman (Hybrid Neural Systems, 1998)

Facial Memory Is Kernel Density Estimation (Almost). - Matthew N. Dailey; Garrison W. Cottrell; Thomas A. Busey (NIPS, 1998)

Predicting the Performance of Linearly Combined IR Systems. - Christopher C. Vogt; Garrison W. Cottrell (SIGIR, 1998)

Optimizing Similarity Using Multi-Query Relevance Feedback. - Brian T. Bartell; Garrison W. Cottrell; Richard K. Belew (J. Am. Soc. Inf. Sci., 1998)

Fusion Via a Linear Combination of Scores. - Christopher C. Vogt; Garrison W. Cottrell (Inf. Retr., 1999)

Organization of face and object recognition in modular neural network models. - Matthew N. Dailey; Garrison W. Cottrell (Neural Networks, 1999)

The Early Word Catches the Weights. - Mark A. Smith; Garrison W. Cottrell; Karen L. Anderson (NIPS, 2000)

A model of the leech segmental swim central pattern generator. - Adam L. Taylor; Garrison W. Cottrell; William B. Kristan Jr. (Neurocomputing, 2000)

Analysis of Oscillations in a Reciprocally Inhibitory Network with Synaptic Depression. - Adam L. Taylor; Garrison W. Cottrell; William B. Kristan Jr. (Neural Comput., 2002)

Principled Methods for Advising Reinforcement Learning Agents. - Eric Wiewiora; Garrison W. Cottrell; Charles Elkan (ICML, 2003)

Early lateralization and orientation tuning for face, word, and object processing in the visual cortex. - Bruno Rossion; Carrie A. Joyce; Garrison W. Cottrell; Michael J. Tarr (NeuroImage, 2003)

Recursive ICA. - Honghao Shan; Lingyun Zhang; Garrison W. Cottrell (NIPS, 2006)

Phase space learning in an autonomous dynamical neural network. - Hiroshi Inazawa; Garrison W. Cottrell (Neurocomputing, 2006)

A probabilistic model of eye movements in concept formation. - Jonathan D. Nelson; Garrison W. Cottrell (Neurocomputing, 2007)

Learning grammatical structure with Echo State Networks. - Matthew H. Tong; Adam D. Bickett; Eric M. Christiansen; Garrison W. Cottrell (Neural Networks, 2007)

Looking around the backyard helps to recognize faces and digits. - Honghao Shan; Garrison W. Cottrell (CVPR, 2008)

Visual saliency model for robot cameras. - Nicholas J. Butko; Lingyun Zhang; Garrison W. Cottrell; Javier R. Movellan (ICRA, 2008)

Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments. - Tim K. Marks; Andrew Howard; Max Bajracharya; Garrison W. Cottrell; Larry H. Matthies (ICRA, 2008)

Convergence of the Visual Field Split: Hemispheric Modeling of Face and Object Recognition. - Janet Hui-wen Hsiao; Danke X. Shieh; Garrison W. Cottrell (J. Cogn. Neurosci., 2008)

Gamma-SLAM: Visual SLAM in unstructured environments using variance grid maps. - Tim K. Marks; Andrew Howard; Max Bajracharya; Garrison W. Cottrell; Larry H. Matthies (J. Field Robotics, 2009)

Robust classification of objects, faces, and flowers using natural image statistics. - Christopher Kanan; Garrison W. Cottrell (CVPR, 2010)

Color Constancy Algorithms for Object and Face Recognition. - Christopher Kanan; Arturo Flores; Garrison W. Cottrell (ISVC (1), 2010)

Connectivity Asymmetry Can Explain Visual Hemispheric Asymmetries in Local/Global, Face, and Spatial Frequency Processing. - Benjamin Cipollini; Janet H. Hsiao; Garrison W. Cottrell (CogSci, 2012)

A New Angle on the EMPATH Model: Spatial Frequency Orientation in Recognition of Facial Expressions. - Rentao Li; Garrison W. Cottrell (CogSci, 2012)

Auditory Saliency Using Natural Statistics. - Tomoki Tsuchida; Garrison W. Cottrell (CogSci, 2012)

The Influence of Risk Aversion on Visual Decision Making. - Ruixin Yang; Garrison W. Cottrell (CogSci, 2012)

Uniquely human developmental timing may drive cerebral lateralization and interhemispheric coupling. - Benjamin Cipollini; Garrison W. Cottrell (CogSci, 2013)

Is Facial Expression Processing Holistic? - Akinyinka Omigbodun; Garrison W. Cottrell (CogSci, 2013)

A Computational Model of the Development of Hemispheric Asymmetry of Face Processing. - Panqu Wang; Garrison W. Cottrell (CogSci, 2013)

What Evidence Supports Special Processing for Faces? A Cautionary Tale for fMRI Interpretation. - Rosemary A. Cowell; Garrison W. Cottrell (J. Cogn. Neurosci., 2013)

Hemispheric Asymmetry in Perception: A Differential Encoding Account. - Janet Hui-wen Hsiao; Benjamin Cipollini; Garrison W. Cottrell (J. Cogn. Neurosci., 2013)

A Developmental Model of Hemispheric Asymmetry of Spatial Frequencies. - Benjamin Cipollini; Garrison W. Cottrell (CogSci, 2014)

TRACX 2.0: A memory-based, biologically-plausible model of sequence segmentation and chunk extraction. - Bob French; Gary Cottrell (CogSci, 2014)

Experience Matters: Modeling the Relationship Between Face and Object Recognition. - Panqu Wang; Isabel Gauthier; Garrison W. Cottrell (CogSci, 2014)

Predicting an observer's task using multi-fixation pattern analysis. - Christopher Kanan; Nicholas A. Ray; Dina N. F. Bseiso; Janet Hui-wen Hsiao; Garrison W. Cottrell (ETRA, 2014)

Efficient Visual Coding: From Retina To V2. - Honghao Shan; Garrison W. Cottrell (ICLR (Workshop Poster), 2014)

Turn, Turn, Turn: Perceiving Global and Local, Clockwise and Counterclockwise Rotations. - Bob French; Helle Lukowski-Duplessy; Cory A. Rieth; Gary Cottrell (CogSci, 2015)

Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. - Panqu Wang; Garrison W. Cottrell; Christopher Kanan (CogSci, 2015)

Bikers Are Like Tobacco Shops, Formal Dressers Are Like Suits: Recognizing Urban Tribes with Caffe. - Yufei Wang 001; Garrison W. Cottrell (WACV, 2015)

Example Selection For Dictionary Learning. - Tomoki Tsuchida; Garrison W. Cottrell (ICLR (Workshop), 2015)

Basic Level Categorization Facilitates Visual Object Recognition. - Panqu Wang; Garrison W. Cottrell (CoRR, 2015)

A Deep Siamese Neural Network Learns the Human-Perceived Similarity Structure of Facial Expressions Without Explicit Categories. - Sanjeev Jagannatha Rao; Yufei Wang 001; Garrison W. Cottrell (CogSci, 2016)

Understanding human facial attractiveness from multiple views. - Amanda Song; Linjie Li; Vicente L. Malave; Gary Cottrell; Angela J. Yu (CogSci, 2016)

Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition. - Panqu Wang; Garrison W. Cottrell (CogSci, 2016)

Modeling the Visual Word Form Area Using a Deep Convolutional Neural Network. - Sandy Wiraatmadja; Garrison W. Cottrell (CogSci, 2016)

Event-Specific Image Importance. - Yufei Wang 001; Zhe Lin 001; Xiaohui Shen; Radomír Mech; Gavin S. P. Miller; Garrison W. Cottrell (CVPR, 2016)

A Single Model Explains both Visual and Auditory Precortical Coding. - Honghao Shan; Matthew H. Tong; Garrison W. Cottrell (CoRR, 2016)

Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration. - Panqu Wang; Isabel Gauthier; Garrison W. Cottrell (J. Cogn. Neurosci., 2016)

Recognizing and Curating Photo Albums via Event-Specific Image Importance. - Yufei Wang 001; Zhe Lin 001; Xiaohui Shen; Radomír Mech; Gavin S. P. Miller; Garrison W. Cottrell (BMVC, 2017)

Categorical vs Coordinate Relationships do not reduce to spatial frequency differences. - Vishaal Prasad; Benjamin Cipollini; Garrison W. Cottrell (CogSci, 2017)

Learning to See People like People: Predicting Social Perceptions of Faces. - Amanda Song; Linjie Li; Chad Atalla; Gary Cottrell (CogSci, 2017)

Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition. - Yufei Wang 001; Zhe Lin 001; Xiaohui Shen; Scott Cohen; Garrison W. Cottrell (CVPR, 2017)

WALKING WALKing walking: Action Recognition from Action Echoes. - Qianli Ma 001; Lifeng Shen; Enhuan Chen; Shuai Tian; Jiabing Wang; Garrison W. Cottrell (IJCAI, 2017)

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. - Yao Qin 001; Dongjin Song; Haifeng Chen; Wei Cheng 002; Guofei Jiang; Garrison W. Cottrell (IJCAI, 2017)

Belief tree search for active object recognition. - Mohsen Malmir; Garrison W. Cottrell (IROS, 2017)

Learning to see people like people. - Amanda Song; Linjie Li; Chad Atalla; Garrison W. Cottrell (CoRR, 2017)

Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework. - Qianli Ma 001; Lifeng Shen; Garrison W. Cottrell (CoRR, 2017)

Deep active object recognition by joint label and action prediction. - Mohsen Malmir; Karan Sikka; Deborah Forster; Ian R. Fasel; Javier R. Movellan; Garrison W. Cottrell (Comput. Vis. Image Underst., 2017)

Autofocus Layer for Semantic Segmentation. - Yao Qin 001; Konstantinos Kamnitsas; Siddharth Ancha; Jay Nanavati; Garrison W. Cottrell; Antonio Criminisi; Aditya V. Nori (MICCAI (3), 2018)

DeepJ: Style-Specific Music Generation. - Huanru Henry Mao; Taylor Shin; Garrison W. Cottrell (ICSC, 2018)

Understanding Convolution for Semantic Segmentation. - Panqu Wang; Pengfei Chen; Ye Yuan; Ding Liu 001; Zehua Huang; Xiaodi Hou; Garrison W. Cottrell (WACV, 2018)

Hierarchical Cellular Automata for Visual Saliency. - Yao Qin 001; Mengyang Feng; Huchuan Lu; Garrison W. Cottrell (Int. J. Comput. Vis., 2018)

Modifying social dimensions of human faces with ModifAE. - Chad Atalla; Amanda Song; Garrison W. Cottrell (CogSci, 2019)

On falsification and Optimal Experimental Design approaches to the value of information. - Jonathan D. Nelson; Vincenzo Crupi 001; Flavia Filimon; Garrison W. Cottrell (CogSci, 2019)

Improving Neural Story Generation by Targeted Common Sense Grounding. - Huanru Henry Mao; Bodhisattwa Prasad Majumder; Julian J. McAuley; Garrison W. Cottrell (EMNLP/IJCNLP (1), 2019)

Triple-Shapelet Networks for Time Series Classification. - Qianli Ma 001; Wanqing Zhuang; Garrison W. Cottrell (ICDM, 2019)

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition. - Yao Qin 001; Nicholas Carlini; Garrison W. Cottrell; Ian J. Goodfellow; Colin Raffel (ICML, 2019)

LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training. - Chris Donahue; Huanru Henry Mao; Yiting Ethan Li; Garrison W. Cottrell; Julian J. McAuley (ISMIR, 2019)

Time series classification with Echo Memory Networks. - Qianli Ma 001; Wanqing Zhuang; Lifeng Shen; Garrison W. Cottrell (Neural Networks, 2019)

Temporal Pyramid Recurrent Neural Network. - Qianli Ma 001; Zhenxi Lin; Enhuan Chen; Garrison W. Cottrell (AAAI, 2020)

Adversarial Dynamic Shapelet Networks. - Qianli Ma 001; Wanqing Zhuang; Sen Li 001; Desen Huang; Garrison W. Cottrell (AAAI, 2020)

DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation. - Md. Mehrab Tanjim; Hammad A. Ayyubi; Garrison W. Cottrell (CIKM, 2020)

The face inversion effect and the anatomical mapping from the visual field to the primary visual cortex. - Martha Gahl; Meilu Yuan; Arun Sugumar; Garrison W. Cottrell (CogSci, 2020)

Do you see what I see? A Cross-cultural Comparison of Social Impressions of Faces. - Amanda Song; Weifeng Hu; Devendra Pratap Yadav; Fangfang Wen; Bin Zuo; Ed Vul; Garrison W. Cottrell (CogSci, 2020)

To Dye or Not to Dye : The Effect of Hair Color on First Impressions. - Amanda Song; Devendra Pratap Yadav; Weifeng Hu; Garrison W. Cottrell; Ed Vul (CogSci, 2020)

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. - Yao Qin 001; Nicholas Frosst; Sara Sabour; Colin Raffel; Garrison W. Cottrell; Geoffrey E. Hinton (ICLR, 2020)

Speech Recognition and Multi-Speaker Diarization of Long Conversations. - Huanru Henry Mao; Shuyang Li; Julian J. McAuley; Garrison W. Cottrell (INTERSPEECH, 2020)

Deflecting Adversarial Attacks. - Yao Qin 001; Nicholas Frosst; Colin Raffel; Garrison W. Cottrell; Geoffrey E. Hinton (CoRR, 2020)

Generating Rationales in Visual Question Answering. - Hammad A. Ayyubi; Md. Mehrab Tanjim; Julian J. McAuley; Garrison W. Cottrell (CoRR, 2020)

DeePr-ESN: A deep projection-encoding echo-state network. - Qianli Ma 001; Lifeng Shen; Garrison W. Cottrell (Inf. Sci., 2020)

End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables. - Qianli Ma 001; Sen Li 001; Lifeng Shen; Jiabing Wang; Jia Wei; Zhiwen Yu 002; Garrison W. Cottrell (IEEE Trans. Cybern., 2020)

Learning Representations for Incomplete Time Series Clustering. - Qianli Ma 001; Chuxin Chen; Sen Li 001; Garrison W. Cottrell (AAAI, 2021)

Joint-Label Learning by Dual Augmentation for Time Series Classification. - Qianli Ma 001; Zhenjing Zheng; Jiawei Zheng; Sen Li 001; Wanqing Zhuang; Garrison W. Cottrell (AAAI, 2021)

Generalization in Cardiac Image Segmentation. - Zhengjie Xu; Zixiang Zhou; Garrison W. Cottrell; Mai H. Nguyen (IEEE BigData, 2021)

ReZero is all you need: fast convergence at large depth. - Thomas Bachlechner; Bodhisattwa Prasad Majumder; Huanru Henry Mao; Gary Cottrell; Julian J. McAuley (UAI, 2021)

Debiasing Image-to-Image Translation Models. - Md. Mehrab Tanjim; Krishna Kumar Singh; Kushal Kafle; Ritwik Sinha; Garrison W. Cottrell (BMVC, 2022)

Automated Skin Biopsy Analysis with Limited Data. - Yung-Chieh Chan; Jerry Zhang; Katie Frizzi; Nigel Calcutt; Garrison W. Cottrell (MILLanD@MICCAI, 2022)

Generating and Controlling Diversity in Image Search. - Md. Mehrab Tanjim; Ritwik Sinha; Krishna Kumar Singh; Sridhar Mahadevan; David Arbour; Moumita Sinha; Garrison W. Cottrell (WACV, 2022)

Multimodal Wildland Fire Smoke Detection. - Siddhant Baldota; Shreyas Anantha Ramaprasad; Jaspreet Kaur Bhamra; Shane Luna; Ravi Ramachandra; Eugene Zen; Harrison Kim; Daniel Crawl; Ismael Pérez; Ilkay Altintas; Garrison W. Cottrell; Mai H. Nguyen (CoRR, 2022)

Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification. - Qianli Ma 001; Sen Li 001; Garrison W. Cottrell (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. - Anshuman Dewangan; Yash Pande; Hans-Werner Braun; Frank Vernon; Ismael Pérez; Ilkay Altintas; Garrison W. Cottrell; Mai H. Nguyen (Remote. Sens., 2022)

Visual Expertise Explains Image Inversion Effects. - Martha Gahl; Shubham Kulkarni; Nikhil Pathak; Alex Russell; Garrison W. Cottrell (UniReps, 2023)

Multimodal Wildland Fire Smoke Detection. - Jaspreet Kaur Bhamra; Shreyas Anantha Ramaprasad; Siddhant Baldota; Shane Luna; Eugene Zen; Ravi Ramachandra; Harrison Kim; Chris Schmidt; Chris Arends; Jessica Block; Ismael Pérez; Daniel Crawl; et al. (Remote. Sens., 2023)

DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data. - Hyun Woo Kim; Chen Zhang 022; Raphael Reher; Mingxun Wang 001; Kelsey L. Alexander; Louis-Félix Nothias; Yoo Kyong Han; Hyeji Shin; Ki Yong Lee; Kyu Hyeong Lee; Myeong Ji Kim; Pieter C. Dorrestein; et al. (J. Cheminformatics, 2023)

Discovering and Mitigating Biases in CLIP-based Image Editing. - Md. Mehrab Tanjim; Krishna Kumar Singh; Kushal Kafle; Ritwik Sinha; Garrison W. Cottrell (WACV, 2024)

Learning consensus representations in multi-latent spaces for multi-view clustering. - Qianli Ma 001; Jiawei Zheng; Sen Li 001; Zhenjing Zheng; Sen Li 002; Garrison W. Cottrell (Neurocomputing, 2024)