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08/19/2023
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
Bias mitigation in image classification has been widely researched, and ...
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07/18/2023
Revisiting Latent Space of GAN Inversion for Real Image Editing
The exploration of the latent space in StyleGANs and GAN inversion exemp...
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07/17/2023
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data
Label-noise or curated unlabeled data is used to compensate for the assu...
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05/31/2023
Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space
The exploration of the latent space in StyleGANs and GAN inversion exemp...
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04/17/2023
LED: A Dataset for Life Event Extraction from Dialogs
Lifelogging has gained more attention due to its wide applications, such...
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04/13/2023
A-CAP: Anticipation Captioning with Commonsense Knowledge
Humans possess the capacity to reason about the future based on a sparse...
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10/16/2022
Character-Centric Story Visualization via Visual Planning and Token Alignment
Story visualization advances the traditional text-to-image generation by...
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10/16/2022
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning
Existing automatic story evaluation methods place a premium on story lex...
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09/26/2022
Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
This paper explores the task of Temporal Video Grounding (TVG) where, gi...
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06/13/2022
Pixel to Binary Embedding Towards Robustness for CNNs
There are several problems with the robustness of Convolutional Neural N...
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04/29/2022
OSSGAN: Open-Set Semi-Supervised Image Generation
We introduce a challenging training scheme of conditional GANs, called o...
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03/28/2022
NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge
Novel object captioning aims at describing objects absent from training ...
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03/16/2022
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression
We push forward neural network compression research by exploiting a nove...
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10/20/2021
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
Generating texts in scientific papers requires not only capturing the co...
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02/09/2021
Graph Energy-based Model for Substructure Preserving Molecular Design
It is common practice for chemists to search chemical databases based on...
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02/05/2021
GraphPlan: Story Generation by Planning with Event Graph
Story generation is a task that aims to automatically produce multiple s...
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02/05/2021
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling
Visual storytelling is a task of generating relevant and interesting sto...
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09/30/2020
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
Neural Module Network (NMN) is a machine learning model for solving the ...
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07/24/2020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Unsupervised learning can discover various unseen diseases, relying on l...
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06/14/2020
Meta Approach to Data Augmentation Optimization
Data augmentation policies drastically improve the performance of image ...
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05/02/2020
Single Model Ensemble using Pseudo-Tags and Distinct Vectors
Model ensemble techniques often increase task performance in neural netw...
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01/12/2020
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
This work aims to identify/bridge the gap between Artificial Intelligenc...
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11/25/2019
Empirical Study of Easy and Hard Examples in CNN Training
Deep Neural Networks (DNNs) generalize well despite their massive size a...
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11/16/2019
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Data augmentation methods are indispensable heuristics to boost the perf...
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08/20/2019
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior
Although neural machine translation models reached high translation qual...
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06/14/2019
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis
Leveraging large-scale healthy datasets, unsupervised learning can disco...
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06/12/2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Accurate computer-assisted diagnosis, relying on large-scale annotated p...
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05/31/2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Convolutional Neural Networks (CNNs) can achieve excellent computer-assi...
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04/17/2019
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Prostate cancer is the most common malignant tumors in men but prostate ...
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03/29/2019
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
Prostate cancer is the most common cancer among US men. However, prostat...
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03/29/2019
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection
Due to the lack of available annotated medical images, accurate computer...
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03/29/2019
Learning More with Less: GAN-based Medical Image Augmentation
Accurate computer-assisted diagnosis using Convolutional Neural Networks...
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02/26/2019
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images
Accurate computer-assisted diagnosis can alleviate the risk of overlooki...
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10/19/2018
Real-time Neural-based Input Method
The input method is an essential service on every mobile and desktop dev...
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10/16/2018
Semantic Aware Attention Based Deep Object Co-segmentation
Object co-segmentation is the task of segmenting the same objects from m...
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08/14/2018
Discrete Structural Planning for Neural Machine Translation
Structural planning is important for producing long sentences, which is ...
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01/03/2018
Deep Learning for Forecasting Stock Returns in the Cross-Section
Many studies have been undertaken by using machine learning techniques, ...
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11/20/2017
Parameter Reference Loss for Unsupervised Domain Adaptation
The success of deep learning in computer vision is mainly attributed to ...
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11/03/2017
Compressing Word Embeddings via Deep Compositional Code Learning
Natural language processing (NLP) models often require a massive number ...
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07/06/2017
Single-Queue Decoding for Neural Machine Translation
Neural machine translation models rely on the beam search algorithm for ...
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04/11/2017
Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation
For extended periods of time, sequence generation models rely on beam se...
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12/19/2016
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation
Recently, the attention mechanism plays a key role to achieve high perfo...
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11/14/2016
Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot
We propose an approach to build a neural machine translation system with...
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04/18/2016
