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Found 16 papers, 4 papers with code
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale
We present ExaDigiT, an open-source framework for developing comprehensive digital twins of liquid-cooled supercomputers.
A Theory-Based Explainable Deep Learning Architecture for Music Emotion
Our theory-based model is more parsimonious, but provides comparable predictive performance to atheoretical deep learning models, while performing better than models using handcrafted features.
Attention based End to end network for Offline Writer Identification on Word level data
However, in scenarios where only a limited number of handwritten samples are available, particularly in the form of word images, there is a significant scope for improvement.
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs
PMI quantifies the extent to which the document influences the generated response -- with a higher PMI indicating a more faithful response.
Siamese based Neural Network for Offline Writer Identification on word level data
These features are then passed through a deep Convolutional Neural Network (CNN) in which the weights are learned by applying the concept of Similarity learning using Siamese network.
SEMI-FND: Stacked Ensemble Based Multimodal Inference For Faster Fake News Detection
Further, we also report a reduction in the number of parameters used in training when compared to recent relevant works.
Ranked #1 on
Fake News Detection
on Weibo NER
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems
The rapidly growing market demand for automatic dialogue agents capable of goal-oriented behavior has caused many tech-industry leaders to invest considerable efforts into task-oriented dialog systems.
Offline Text-Independent Writer Identification based on word level data
These key points are then passed through a trained CNN network to generate feature maps corresponding to a convolution layer.
Fairness for AUC via Feature Augmentation
We evaluate fairAUC on synthetic and real-world datasets and find that it significantly improves AUC for the disadvantaged group relative to benchmarks maximizing overall AUC and minimizing bias between groups.
Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ride Sharing
This paper studies the effects of economies of density in transportation markets, focusing on ridesharing.
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This challenge is based on a newly collected validation and testing image datasets, and hence, named SIDD+.
Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India
Participants: In total, 7697 adult patients who presented to participating hospitals with a history of trauma were approached for enrolment.
Predominant Musical Instrument Classification based on Spectral Features
This work aims to examine one of the cornerstone problems of Musical Instrument Retrieval (MIR), in particular, instrument classification.
Ranked #1 on
Instrument Recognition
on IRMAS
Exemplar Encoder-Decoder for Neural Conversation Generation
In this paper we present the Exemplar Encoder-Decoder network (EED), a novel conversation model that learns to utilize \textit{similar} examples from training data to generate responses.
Non-sentential Question Resolution using Sequence to Sequence Learning
The system thus needs to take into account the conversation context to process the question.
Lexicon Infused Phrase Embeddings for Named Entity Resolution
Most state-of-the-art approaches for named-entity recognition (NER) use semi supervised information in the form of word clusters and lexicons.
