Christopher Kanan

CoRR, 2024

Improving Multimodal Large Language Models Using Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Multi-Modal LLM Evaluation.

[BibT_eX]

[DOI]

CoRR, 2024

What Variables Affect Out-Of-Distribution Generalization in Pretrained Models?

[BibT_eX]

[DOI]

CoRR, 2024

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.

[BibT_eX]

[DOI]

CoRR, 2024

Holistic Visual-Textual Sentiment Analysis with Prior Models.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

BloomVQA: Assessing Hierarchical Multi-modal Comprehension.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SIESTA: Efficient Online Continual Learning with Sleep.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

DMC4ML: Data Movement Complexity for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Virchow: A Million-Slide Digital Pathology Foundation Model.

[BibT_eX]

[DOI]

CoRR, 2023

GRASP: A Rehearsal Policy for Efficient Online Continual Learning.

[BibT_eX]

[DOI]

Md Yousuf Harun

Jhair Gallardo

CoRR, 2023

Understanding the Benefits of Image Augmentations.

[BibT_eX]

[DOI]

Matthew Iceland

CoRR, 2023

Overcoming the Stability Gap in Continual Learning.

[BibT_eX]

[DOI]

Md Yousuf Harun

CoRR, 2023

Semantic Segmentation with Active Semi-Supervised Learning.

[BibT_eX]

[DOI]

Aneesh Rangnekar

Matthew J. Hoffman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Spatial and Temporal Attention-Based Emotion Estimation on HRI-AVC Dataset.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

How Efficient Are Today's Continual Learning Algorithms?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

EllSeg-Gen, towards Domain Generalization for Head-Mounted Eyetracking.

[BibT_eX]

[DOI]

Rakshit Sunil Kothari

Proc. ACM Hum. Comput. Interact., 2022

Detecting out-of-context objects using contextual cues.

[BibT_eX]

[DOI]

CoRR, 2022

An Investigation of Critical Issues in Bias Mitigation Techniques.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery.

[BibT_eX]

[DOI]

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

Online Continual Learning for Embedded Devices.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Semantic Segmentation with Active Semi-Supervised Representation Learning.

[BibT_eX]

[DOI]

Aneesh Rangnekar

Matthew J. Hoffman

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Can I see an Example? Active Learning the Long Tail of Attributes and Relations.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.

[BibT_eX]

[DOI]

Gianmarco J. Gallardo

Michael R. Piacentino

Jesse Hostetler

Aswin Raghavan

Proceedings of the Second International Conference on AI-ML Systems, 2022

2021

Replay in Deep Learning: Current Approaches and Missing Biological Elements.

[BibT_eX]

[DOI]

Terrence J. Sejnowski

Neural Comput., 2021

Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems.

[BibT_eX]

[DOI]

Frontiers Digit. Health, 2021

2nd Place Solution for SODA10M Challenge 2021 - Continual Detection Track.

[BibT_eX]

[DOI]

CoRR, 2021

Disentangling Transfer and Interference in Multi-Domain Learning.

[BibT_eX]

[DOI]

Yipeng Zhang

CoRR, 2021

Avalanche: an End-to-End Library for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Self-Supervised Training Enhances Online Continual Learning.

[BibT_eX]

[DOI]

Jhair Gallardo

CoRR, 2021

How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?

[BibT_eX]

[DOI]

Bidur Khanal

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Avalanche: An End-to-End Library for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Selective Replay Enhances Learning in Online Continual Analogical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Self-Supervised Training Enhances Online Continual Learning.

[BibT_eX]

[DOI]

Gianmarco J. Gallardo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

AeroRIT: A New Scene for Hyperspectral Image Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

Do We Need Fully Connected Output Layers in Convolutional Networks?

[BibT_eX]

[DOI]

CoRR, 2020

Answering Questions about Data Visualizations using Efficient Bimodal Fusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improved Robustness to Open Set Inputs via Tempered Mixup.

[BibT_eX]

[DOI]

Ryne Roady

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

REMIND Your Neural Network to Prevent Catastrophic Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery.

[BibT_eX]

[DOI]

Proceedings of the Dynamic Data Driven Applications Systems, 2020

Stream-51: Streaming Classification and Novelty Detection from Videos.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

RODEO: Replay for Online Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

A negative case analysis of visual grounding methods for VQA.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Continual lifelong learning with neural networks: A review.

[BibT_eX]

[DOI]

German Ignacio Parisi

Neural Networks, 2019

Challenges and Prospects in Vision and Language Research.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2019

Towards calibrated and scalable uncertainty representations for neural networks.

[BibT_eX]

[DOI]

Nabeel Seedat

CoRR, 2019

Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?

[BibT_eX]

[DOI]

CoRR, 2019

Rethinking Continual Learning for Autonomous Agents and Robots.

[BibT_eX]

[DOI]

German Ignacio Parisi

CoRR, 2019

Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities.

[BibT_eX]

[DOI]

Rakshit Sunil Kothari

CoRR, 2019

VQD: Visual Query Detection In Natural Scenes.

[BibT_eX]

[DOI]

Karan Jariwala

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Memory Efficient Experience Replay for Streaming Learning.

[BibT_eX]

[DOI]

Nathan D. Cahill

Proceedings of the International Conference on Robotics and Automation, 2019

RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking.

[BibT_eX]

[DOI]

Aayush K. Chaudhary

Rakshit Sunil Kothari

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Answer Them All! Toward Universal Visual Question Answering Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

TallyQA: Answering Complex Counting Questions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery.

[BibT_eX]

[DOI]

Ryan Luu

IEEE Trans. Geosci. Remote. Sens., 2018

EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery.

[BibT_eX]

[DOI]

Utsav B. Gewali

CoRR, 2018

FearNet: Brain-Inspired Model for Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

DVQA: Understanding Data Visualizations via Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

New Metrics and Experimental Paradigms for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Measuring Catastrophic Forgetting in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Self-Taught Feature Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Predicting Top-of-Atmosphere Thermal Radiance Using MERRA-2 Atmospheric Data with Deep Learning.

[BibT_eX]

[DOI]

Remote. Sens., 2017

Visual question answering: Datasets, algorithms, and future challenges.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2017

Aerial Spectral Super-Resolution using Conditional Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Measuring Catastrophic Forgetting in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

High-Resolution Multispectral Dataset for Semantic Segmentation.

[BibT_eX]

[DOI]

Carl Salvaggio

CoRR, 2017

Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery.

[BibT_eX]

[DOI]

CoRR, 2017

Robotic grasp detection using deep convolutional neural networks.

[BibT_eX]

[DOI]

Sulabh Kumra

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Data Augmentation for Visual Question Answering.

[BibT_eX]

[DOI]

Mohammed A. Yousefhussien

Seyed Hamed Fatemi Langroudi

Proceedings of the 10th International Conference on Natural Language Generation, 2017

Convolutional Drift Networks for Video Classification.

[BibT_eX]

[DOI]

Dillon Graham

Dhireesha Kudithipudi

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

An Analysis of Visual Question Answering Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Roof Damage Assessment using Deep Learning.

[BibT_eX]

[DOI]

Mahshad Mahdavi Hezaveh

Mohammed A. Yousefhussien

Carl Salvaggio

Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

2016

Online tracking using saliency.

[BibT_eX]

[DOI]

N. Andrew Browning

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Answer-Type Prediction for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Automatic scanpath generation with deep recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Applied Perception, 2016

2015

VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields.

[BibT_eX]

[DOI]

Panqu Wang

Garrison W. Cottrell

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Fine-grained object recognition with Gnostic Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Predicting an observer's task using multi-fixation pattern analysis.

[BibT_eX]

[DOI]

Proceedings of the Eye Tracking Research and Applications, 2014

2013

In defense of brain-inspired cognitive models.

[BibT_eX]

[DOI]

PhD thesis, 2013

2012

Turing: Beyond the original concept.

[BibT_eX]

[DOI]

Nat., 2012

2010

Color Constancy Algorithms for Object and Face Recognition.

[BibT_eX]

[DOI]

Arturo Flores

Garrison W. Cottrell

Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Robust classification of objects, faces, and flowers using natural image statistics.

[BibT_eX]

[DOI]