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05/24/2023
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
The integration of multi-document pre-training objectives into language ...
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05/04/2023
Conformal Nucleus Sampling
Language models generate text based on successively sampling the next wo...
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12/16/2021
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering
Long-range transformer models have achieved encouraging results on long-...
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12/16/2021
A Proposition-Level Clustering Approach for Multi-Document Summarization
Text clustering methods were traditionally incorporated into multi-docum...
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06/05/2021
Denoising Word Embeddings by Averaging in a Shared Space
We introduce a new approach for smoothing and improving the quality of w...
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02/11/2021
Speech enhancement with mixture-of-deep-experts with clean clustering pre-training
In this study we present a mixture of deep experts (MoDE) neural-network...
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12/07/2020
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
The pressing need to reduce the capacity of deep neural networks has sti...
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10/11/2020
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations
Contextualized word representations, such as ELMo and BERT, were shown t...
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09/01/2020
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks
Multi-document summarization (MDS) is a challenging task, often decompos...
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08/26/2020
FCN Approach for Dynamically Locating Multiple Speakers
In this paper, we present a deep neural network-based online multi-speak...
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02/06/2020
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention
Error correction codes are integral part of communication applications, ...
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10/26/2019
A Soft STAPLE Algorithm Combined with Anatomical Knowledge
Supervised machine learning algorithms, especially in the medical domain...
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04/29/2019
A dual branch deep neural network for classification and detection in mammograms
In this paper, we propose a novel deep learning architecture for joint c...
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04/28/2019
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net
The high cost of generating expert annotations, poses a strong limitatio...
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04/01/2019
Precise Detection in Densely Packed Scenes
Man-made scenes can be densely packed, containing numerous objects, ofte...
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03/25/2019
Aligning Vector-spaces with Noisy Supervised Lexicons
The problem of learning to translate between two vector spaces given a s...
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01/26/2019
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation
This paper explores the use of a soft ground-truth mask ("soft mask") to...
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12/16/2018
Deep Clustering Based on a Mixture of Autoencoders
In this paper we propose a Deep Autoencoder MIxture Clustering (DAMIC) a...
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06/04/2018
Self-Normalization Properties of Language Modeling
Self-normalizing discriminative models approximate the normalized probab...
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03/22/2018
Speech Dereverberation Using Fully Convolutional Networks
Speech derverberation using a single microphone is addressed in this pap...
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03/19/2018
A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications
In this paper we examine data fusion methods for multi-view data classif...
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03/03/2018
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
Deep learning methods, and in particular convolutional neural networks (...
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01/08/2018
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification
In this paper, we present a data augmentation method that generates synt...
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01/07/2018
Anatomical Data Augmentation For CNN based Pixel-wise Classification
In this work we propose a method for anatomical data augmentation that i...
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07/19/2017
Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN
Automatic detection of liver lesions in CT images poses a great challeng...
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07/17/2017
A Simple Language Model based on PMI Matrix Approximations
In this study, we introduce a new approach for learning language models ...
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05/21/2017
Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding
This paper presents a novel deep learning architecture to classify struc...
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11/06/2016
Domain Adaptation For Formant Estimation Using Deep Learning
In this paper we present a domain adaptation technique for formant estim...
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09/05/2016
PMI Matrix Approximations with Applications to Neural Language Modeling
The negative sampling (NEG) objective function, used in word2vec, is a s...
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04/01/2016