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09/11/2023
Gall Bladder Cancer Detection from US Images with Only Image Level Labels
Automated detection of Gallbladder Cancer (GBC) from Ultrasound (US) ima...
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01/12/2023
Adversarial Adaptation for French Named Entity Recognition
Named Entity Recognition (NER) is the task of identifying and classifyin...
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12/05/2022
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora
Named Entity Recognition (NER) involves the identification and classific...
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11/26/2022
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning
Recent works on fake news detection have shown the efficacy of using emo...
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11/09/2022
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection
We propose a novel deep neural network architecture to learn interpretab...
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10/12/2022
Federated Continual Learning for Text Classification via Selective Inter-client Transfer
In this work, we combine the two paradigms: Federated Learning (FL) and ...
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07/26/2022
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining
Rich temporal information and variations in viewpoints make video data a...
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04/25/2022
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
We explore the potential of CNN-based models for gallbladder cancer (GBC...
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04/17/2021
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces
Though word embeddings and topics are complementary representations, sev...
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06/19/2020
Neural Topic Modeling with Continual Lifelong Learning
Lifelong learning has recently attracted attention in building machine l...
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06/18/2020
Explainable and Discourse Topic-aware Neural Language Understanding
Marrying topic models and language models exposes language understanding...
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10/08/2019
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019
Named Entity Recognition (NER) and Relation Extraction (RE) are essentia...
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10/01/2019
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions
This paper presents our system details and results of participation in t...
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09/29/2019
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers
Topic models such as LDA, DocNADE, iDocNADEe have been popular in docume...
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09/14/2019
Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings
Though word embeddings and topics are complementary representations, sev...
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09/14/2019
Multi-view and Multi-source Transfers in Neural Topic Modeling
Though word embeddings and topics are complementary representations, sev...
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09/13/2019
Neural Architectures for Fine-Grained Propaganda Detection in News
This paper describes our system (MIC-CIS) details and results of partici...
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10/11/2018
Neural Relation Extraction Within and Across Sentence Boundaries
Past work in relation extraction mostly focuses on binary relation betwe...
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10/09/2018
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior
We address two challenges of probabilistic topic modelling in order to b...
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10/09/2018
textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior
We address two challenges of probabilistic topic modelling in order to b...
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09/15/2018
Document Informed Neural Autoregressive Topic Models with Distributional Prior
We address two challenges in topic models: (1) Context information aroun...
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08/11/2018
Document Informed Neural Autoregressive Topic Models
Context information around words helps in determining their actual meani...
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08/05/2018
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation
Recurrent neural networks (RNNs) are temporal networks and cumulative in...
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07/08/2018
Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts
The goal of our industrial ticketing system is to retrieve a relevant so...
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05/01/2018
Joint Bootstrapping Machines for High Confidence Relation Extraction
Semi-supervised bootstrapping techniques for relationship extraction fro...
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11/15/2017
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time
Dynamic topic modeling facilitates the identification of topical trends ...
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01/10/2017
What are the visual features underlying human versus machine vision?
Although Deep Convolutional Networks (DCNs) are approaching the accuracy...
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05/24/2016