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09/14/2023
Virchow: A Million-Slide Digital Pathology Foundation Model
Computational pathology uses artificial intelligence to enable precision...
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08/25/2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Continual learning (CL) in deep neural networks (DNNs) involves incremen...
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06/09/2023
Understanding the Benefits of Image Augmentations
Image Augmentations are widely used to reduce overfitting in neural netw...
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06/02/2023
Overcoming the Stability Gap in Continual Learning
In many real-world applications, deep neural networks are retrained from...
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03/29/2023
How Efficient Are Today's Continual Learning Algorithms?
Supervised Continual learning involves updating a deep neural network (D...
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03/19/2023
SIESTA: Efficient Online Continual Learning with Sleep
In supervised continual learning, a deep neural network (DNN) is updated...
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10/16/2022
Semantic Segmentation with Active Semi-Supervised Representation Learning
Obtaining human per-pixel labels for semantic segmentation is incredibly...
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05/04/2022
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking
The study of human gaze behavior in natural contexts requires algorithms...
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04/05/2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Dataset bias and spurious correlations can significantly impair generali...
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03/21/2022
Semantic Segmentation with Active Semi-Supervised Learning
Using deep learning, we now have the ability to create exceptionally goo...
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03/21/2022
Online Continual Learning for Embedded Devices
Real-time on-device continual learning is needed for new applications su...
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03/11/2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
There has been significant progress in creating machine learning models ...
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02/11/2022
Detecting out-of-context objects using contextual cues
This paper presents an approach to detect out-of-context (OOC) objects i...
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10/25/2021
2nd Place Solution for SODA10M Challenge 2021 – Continual Detection Track
In this technical report, we present our approaches for the continual ob...
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06/29/2021
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?
Incorrectly labeled examples, or label noise, is common in real-world co...
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04/01/2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Replay is the reactivation of one or more neural patterns, which are sim...
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04/01/2021
An Investigation of Critical Issues in Bias Mitigation Techniques
A critical problem in deep learning is that systems learn inappropriate ...
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03/25/2021
Self-Supervised Training Enhances Online Continual Learning
In continual learning, a system must incrementally learn from a non-stat...
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03/06/2021
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
In continual learning, a system learns from non-stationary data streams ...
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03/04/2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
Artificial intelligence (AI) has been successful at solving numerous pro...
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09/10/2020
Improved Robustness to Open Set Inputs via Tempered Mixup
Supervised classification methods often assume that evaluation data is d...
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08/14/2020
RODEO: Replay for Online Object Detection
Humans can incrementally learn to do new visual detection tasks, which i...
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04/28/2020
Do We Need Fully Connected Output Layers in Convolutional Networks?
Traditionally, deep convolutional neural networks consist of a series of...
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04/12/2020
A negative case analysis of visual grounding methods for VQA
Existing Visual Question Answering (VQA) methods tend to exploit dataset...
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12/17/2019
AeroRIT: A New Scene for Hyperspectral Image Analysis
Hyperspectral imagery oriented research like image super-resolution and ...
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10/30/2019
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?
Supervised classification methods often assume the train and test data d...
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10/28/2019
Towards calibrated and scalable uncertainty representations for neural networks
For many applications it is critical to know the uncertainty of a neural...
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10/06/2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
In lifelong machine learning, a robotic agent must be incrementally upda...
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10/01/2019
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
Accurate eye segmentation can improve eye-gaze estimation and support in...
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09/04/2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
When a robot acquires new information, ideally it would immediately be c...
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08/05/2019
Answering Questions about Data Visualizations using Efficient Bimodal Fusion
Chart question answering (CQA) is a newly proposed visual question answe...
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07/02/2019
Rethinking Continual Learning for Autonomous Agents and Robots
Continual learning refers to the ability of a biological or artificial s...
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04/19/2019
Challenges and Prospects in Vision and Language Research
Language grounded image understanding tasks have often been proposed as ...
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04/04/2019
VQD: Visual Query Detection in Natural Scenes
We propose Visual Query Detection (VQD), a new visual grounding task. In...
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03/01/2019
Answer Them All! Toward Universal Visual Question Answering Models
Visual Question Answering (VQA) research is split into two camps: the fi...
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10/29/2018
TallyQA: Answering Complex Counting Questions
Most counting questions in visual question answering (VQA) datasets are ...
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09/16/2018
Memory Efficient Experience Replay for Streaming Learning
In supervised machine learning, an agent is typically trained once and t...
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05/15/2018
Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks
Theories for visually guided action account for online control in the pr...
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04/01/2018
EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery
Deep learning continues to push state-of-the-art performance for the sem...
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03/26/2018
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
Recent advances in computer vision using deep learning with RGB imagery ...
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02/21/2018
Continual Lifelong Learning with Neural Networks: A Review
Humans and animals have the ability to continually acquire and fine-tune...
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01/24/2018
DVQA: Understanding Data Visualizations via Question Answering
Bar charts are an effective way for humans to convey information to each...
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12/23/2017
Aerial Spectral Super-Resolution using Conditional Adversarial Networks
Inferring spectral signatures from ground based natural images has acqui...
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11/28/2017
FearNet: Brain-Inspired Model for Incremental Learning
Incremental class learning involves sequentially learning classes in bur...
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11/03/2017
Convolutional Drift Networks for Video Classification
Analyzing spatio-temporal data like video is a challenging task that req...
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08/07/2017
Measuring Catastrophic Forgetting in Neural Networks
Deep neural networks are used in many state-of-the-art systems for machi...
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03/28/2017
An Analysis of Visual Question Answering Algorithms
In visual question answering (VQA), an algorithm must answer text-based ...
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03/19/2017
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning
Deep convolutional neural networks (DCNNs) have been used to achieve sta...
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03/06/2017
High-Resolution Multispectral Dataset for Semantic Segmentation
Unmanned aircraft have decreased the cost required to collect remote sen...
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11/24/2016
