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09/18/2023
Automatic Personalized Impression Generation for PET Reports Using Large Language Models
Purpose: To determine if fine-tuned large language models (LLMs) can gen...
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07/01/2023
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA
Recent generative approaches for multi-hop question answering (QA) utili...
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06/30/2023
Multimodal Prompt Retrieval for Generative Visual Question Answering
Recent years have witnessed impressive results of pre-trained vision-lan...
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06/06/2023
Greedy-Mine: A Profitable Mining Attack Strategy in Bitcoin-NG
Bitcoin-NG is an extensible blockchain protocol based on the same trust ...
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05/23/2023
Empowering LLM-based Machine Translation with Cultural Awareness
Traditional neural machine translation (NMT) systems often fail to trans...
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05/22/2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
Out-of-distribution (OOD) detection is a critical task for reliable pred...
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05/12/2023
Novel bribery mining attacks in the bitcoin system and the bribery miner's dilemma
Mining attacks allow adversaries to obtain a disproportionate share of t...
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03/28/2023
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks
Recently, RGB-Thermal based perception has shown significant advances. T...
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03/15/2023
Descriptor Distillation for Efficient Multi-Robot SLAM
Performing accurate localization while maintaining the low-level communi...
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03/09/2023
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
In recent years, monocular depth estimation (MDE) has gained significant...
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03/02/2023
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax
Clinical imaging databases contain not only medical images but also text...
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03/01/2023
Domain-adapted large language models for classifying nuclear medicine reports
With the growing use of transformer-based language models in medicine, i...
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12/31/2022
Peer Learning for Unbiased Scene Graph Generation
In this paper, we propose a novel framework dubbed peer learning to deal...
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12/31/2022
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Audio-Visual scene understanding is a challenging problem due to the uns...
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11/28/2022
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources
While the NLP community is generally aware of resource disparities among...
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09/28/2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning
It is well known that it is difficult to have a reliable and robust fram...
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08/29/2022
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
We study a practical yet hasn't been explored problem: how a drone can p...
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05/28/2022
Feature Pyramid Attention based Residual Neural Network for Environmental Sound Classification
Environmental sound classification (ESC) is a challenging problem due to...
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05/23/2022
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
Word translation without parallel corpora has become feasible, rivaling ...
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05/23/2022
Local Byte Fusion for Neural Machine Translation
Subword tokenization schemes are the dominant technique used in current ...
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05/11/2022
Deep Depth Completion: A Survey
Depth completion aims at predicting dense pixel-wise depth from a sparse...
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11/14/2021
DEEP: DEnoising Entity Pre-training for Neural Machine Translation
It has been shown that machine translation models usually generate poor ...
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10/19/2021
Advanced Statistical Learning on Short Term Load Process Forecasting
Short Term Load Forecast (STLF) is necessary for effective scheduling, o...
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10/18/2021
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
The RGB-Thermal (RGB-T) information for semantic segmentation has been e...
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10/14/2021
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems
Much recent progress in task-oriented dialogue (ToD) systems has been dr...
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09/28/2021
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems
We study a novel problem that tackles learning based sensor scanning in ...
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09/10/2021
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
Reproducible benchmarks are crucial in driving progress of machine trans...
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09/08/2021
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth
The annotation of domain experts is important for some medical applicati...
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08/12/2021
Networks of News and Cross-Sectional Returns
We uncover networks from news articles to study cross-sectional stock re...
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06/21/2021
Phrase-level Active Learning for Neural Machine Translation
Neural machine translation (NMT) is sensitive to domain shift. In this p...
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04/15/2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
Machine learning has brought striking advances in multilingual natural l...
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03/16/2021
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models
This paper studies zero-shot cross-lingual transfer of vision-language m...
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10/19/2020
A Two-stage Unsupervised Approach for Low light Image Enhancement
As vision based perception methods are usually built on the normal light...
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10/19/2020
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
The core problem of visual multi-robot simultaneous localization and map...
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10/15/2020
Explicit Alignment Objectives for Multilingual Bidirectional Encoders
Pre-trained cross-lingual encoders such as mBERT (Devlin et al., 2019) a...
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08/11/2020
On Learning Language-Invariant Representations for Universal Machine Translation
The goal of universal machine translation is to learn to translate betwe...
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07/03/2020
TICO-19: the Translation Initiative for Covid-19
The COVID-19 pandemic is the worst pandemic to strike the world in over ...
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05/06/2020
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting
Unsupervised machine translation (MT) has recently achieved impressive r...
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03/24/2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Much recent progress in applications of machine learning models to NLP h...
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11/20/2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method
In this paper, we consider adversarial attacks against a system of monoc...
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10/07/2019
Domain Differential Adaptation for Neural Machine Translation
Neural networks are known to be data hungry and domain sensitive, but it...
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09/11/2019
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
Previous storytelling approaches mostly focused on optimizing traditiona...
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09/05/2019
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning
Popular metrics used for evaluating image captioning systems, such as BL...
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08/30/2019
Handling Syntactic Divergence in Low-resource Machine Translation
Despite impressive empirical successes of neural machine translation (NM...
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08/27/2019
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
The recent success of neural machine translation models relies on the av...
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06/02/2019
Domain Adaptation of Neural Machine Translation by Lexicon Induction
It has been previously noted that neural machine translation (NMT) is ve...
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04/19/2019
A Hybrid Retrieval-Generation Neural Conversation Model
Intelligent personal assistant systems, with either text-based or voice-...
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04/06/2019
Visualization of Convolutional Neural Networks for Monocular Depth Estimation
Recently, convolutional neural networks (CNNs) have shown great success ...
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03/19/2019
compare-mt: A Tool for Holistic Comparison of Language Generation Systems
In this paper, we describe compare-mt, a tool for holistic analysis and ...
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02/24/2019