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07/18/2023
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
Multi-label image classification is a prediction task that aims to ident...
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04/24/2023
Exploration and Exploitation of Hidden PMU Events
Performance Monitoring Unit (PMU) is a common hardware module in Intel C...
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04/21/2023
Timing the Transient Execution: A New Side-Channel Attack on Intel CPUs
The transient execution attack is a type of attack leveraging the vulner...
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03/16/2023
Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models
For downstream applications of vision-language pre-trained models, there...
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10/16/2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
Embedded topic models are able to learn interpretable topics even with l...
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09/20/2022
Knowledge-Aware Bayesian Deep Topic Model
We propose a Bayesian generative model for incorporating prior domain kn...
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09/12/2022
Ordinal Graph Gamma Belief Network for Social Recommender Systems
To build recommender systems that not only consider user-item interactio...
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07/24/2022
PMUSpill: The Counters in Performance Monitor Unit that Leak SGX-Protected Secrets
Performance Monitor Unit (PMU) is a significant hardware module on the c...
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03/03/2022
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
A topic model is often formulated as a generative model that explains ho...
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01/04/2022
Short Range Correlation Transformer for Occluded Person Re-Identification
Occluded person re-identification is one of the challenging areas of com...
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10/27/2021
TopicNet: Semantic Graph-Guided Topic Discovery
Existing deep hierarchical topic models are able to extract semantically...
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06/30/2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Hierarchical topic models such as the gamma belief network (GBN) have de...
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06/15/2021
Semantic Representation and Inference for NLP
Semantic representation and inference is essential for Natural Language ...
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04/25/2021
Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps
For image inpainting, the convolutional neural networks (CNN) in previou...
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03/21/2021
Structural block driven - enhanced convolutional neural representation for relation extraction
In this paper, we propose a novel lightweight relation extraction approa...
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01/20/2021
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
To reduce uploading bandwidth and address privacy concerns, deep learnin...
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12/22/2020
Multi-Head Self-Attention with Role-Guided Masks
The state of the art in learning meaningful semantic representations of ...
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11/25/2020
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
This report describes the participation of two Danish universities, Univ...
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09/07/2019
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
We contribute the largest publicly available dataset of naturally occurr...
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03/20/2019
Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings
When the meaning of a phrase cannot be inferred from the individual mean...
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01/24/2019
QGAN: Quantized Generative Adversarial Networks
The intensive computation and memory requirements of generative adversar...
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06/10/2016