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06/16/2023
Studying Generalization on Memory-Based Methods in Continual Learning
One of the objectives of Continual Learning is to learn new concepts con...
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05/12/2023
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information
Existing question answering methods often assume that the input content ...
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12/09/2022
PIVOT: Prompting for Video Continual Learning
Modern machine learning pipelines are limited due to data availability, ...
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10/27/2022
Bridging the visual gap in VLN via semantically richer instructions
The Visual-and-Language Navigation (VLN) task requires understanding a t...
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10/03/2022
How Relevant is Selective Memory Population in Lifelong Language Learning?
Lifelong language learning seeks to have models continuously learn multi...
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07/07/2022
A Study on the Predictability of Sample Learning Consistency
Curriculum Learning is a powerful training method that allows for faster...
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04/18/2022
Entropy-based Stability-Plasticity for Lifelong Learning
The ability to continuously learn remains elusive for deep learning mode...
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09/24/2021
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference
Large-scale pre-trained language models have shown remarkable results in...
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09/10/2021
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations
Current language models are usually trained using a self-supervised sche...
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07/19/2021
DeepSocNav: Social Navigation by Imitating Human Behaviors
Current datasets to train social behaviors are usually borrowed from sur...
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06/21/2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
Recently, few-shot learning has received increasing interest. Existing e...
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06/09/2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
When learning tasks over time, artificial neural networks suffer from a ...
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05/27/2021
Inspecting the concept knowledge graph encoded by modern language models
The field of natural language understanding has experienced exponential ...
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10/20/2020
A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation
Every year physicians face an increasing demand of image-based diagnosis...
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06/01/2020
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism
We propose a multi-head attention mechanism as a blending layer in a neu...
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04/27/2020
Differentiable Adaptive Computation Time for Visual Reasoning
This paper presents a novel attention-based algorithm for achieving adap...
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03/01/2019
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Inspired by research in psychology, we introduce a behavioral approach f...
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09/24/2018
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
We propose an end-to-end deep learning model for translating free-form n...
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08/01/2018
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining
A key aspect of VQA models that are interpretable is their ability to gr...
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03/12/2018
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation
We present a semantically rich graph representation for indoor robotic n...
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06/22/2017
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Advances in image processing and computer vision in the latest years hav...
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06/19/2017
Exploring Content-based Artwork Recommendation with Metadata and Visual Features
Compared to other areas, artwork recommendation has received little atte...
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05/24/2017
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval
The knowledge representation community has built general-purpose ontolog...
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06/15/2016