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09/12/2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection
Logs play a crucial role in system monitoring and debugging by recording...
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09/07/2023
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Open Information Extraction (OIE) task aims at extracting structured fac...
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06/13/2023
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations
Imitation learning has achieved great success in many sequential decisio...
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05/30/2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
Large language models (LLMs) have significantly advanced the field of na...
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05/27/2023
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Large language models (LLMs) have notably enhanced the fluency and diver...
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05/23/2023
Integrated Sensing and Communication based Outdoor Multi-Target Detection, Tracking and Localization in Practical 5G Networks
The 6th generation (6G) wireless networks will likely to support a varie...
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05/22/2023
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
Synthesizing high-fidelity head avatars is a central problem for compute...
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05/10/2023
Maximal Leakage of Masked Implementations Using Mrs. Gerber's Lemma for Min-Entropy
A common countermeasure against side-channel attacks on secret key crypt...
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05/01/2023
Personalized Federated Learning under Mixture of Distributions
The recent trend towards Personalized Federated Learning (PFL) has garne...
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04/04/2023
MonoHuman: Animatable Human Neural Field from Monocular Video
Animating virtual avatars with free-view control is crucial for various ...
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03/21/2023
Time Series Contrastive Learning with Information-Aware Augmentations
Various contrastive learning approaches have been proposed in recent yea...
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03/06/2023
Dynamic Prompting: A Unified Framework for Prompt Tuning
It has been demonstrated that prompt tuning is highly effective in effic...
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02/16/2023
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization
Text summarization has been a crucial problem in natural language proces...
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10/26/2022
Personalized Federated Learning via Heterogeneous Modular Networks
Personalized Federated Learning (PFL) which collaboratively trains a fed...
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05/09/2022
Deep Federated Anomaly Detection for Multivariate Time Series Data
Despite the fact that many anomaly detection approaches have been develo...
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04/25/2022
Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis
This work targets at using a general deep learning framework to synthesi...
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03/30/2022
Self-dual Hadamard bent sequences
A new notion of bent sequence related to Hadamard matrices was introduce...
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02/05/2022
SEED: Sound Event Early Detection via Evidential Uncertainty
Sound Event Early Detection (SEED) is an essential task in recognizing t...
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01/20/2022
Inference in High-dimensional Multivariate Response Regression with Hidden Variables
This paper studies the inference of the regression coefficient matrix un...
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12/23/2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
During the past several years, a surge of multi-lingual Pre-trained Lang...
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12/01/2021
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
We target the task of cross-lingual Machine Reading Comprehension (MRC) ...
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10/28/2021
InfoGCL: Information-Aware Graph Contrastive Learning
Various graph contrastive learning models have been proposed to improve ...
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09/07/2021
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
Compliments and concerns in reviews are valuable for understanding users...
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06/08/2021
Insight from NLP Analysis: COVID-19 Vaccines Sentiments on Social Media
Social media is an appropriate source for analyzing public attitudes tow...
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05/16/2021
Attacking Masked Cryptographic Implementations: Information-Theoretic Bounds
Measuring the information leakage is critical for evaluating practical s...
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05/15/2021
On Conditional α-Information and its Application to Side-Channel Analysis
A conditional version of Sibson's α-information is defined using a simpl...
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04/08/2021
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
We present FACESEC, a framework for fine-grained robustness evaluation o...
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03/26/2021
Unsupervised Document Embedding via Contrastive Augmentation
We present a contrasting learning approach with data augmentation techni...
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03/03/2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Forecasting on sparse multivariate time series (MTS) aims to model the p...
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02/04/2021
Cumulant Expansion of Mutual Information for Quantifying Leakage of a Protected Secret
The information leakage of a cryptographic implementation with a given d...
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12/15/2020
SimpleChrome: Encoding of Combinatorial Effects for Predicting Gene Expression
Due to recent breakthroughs in state-of-the-art DNA sequencing technolog...
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11/13/2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Graph Neural Networks (GNNs) have shown to be powerful tools for graph a...
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11/09/2020
Parameterized Explainer for Graph Neural Network
Despite recent progress in Graph Neural Networks (GNNs), explaining pred...
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10/26/2020
T^2-Net: A Semi-supervised Deep Model for Turbulence Forecasting
Accurate air turbulence forecasting can help airlines avoid hazardous tu...
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07/20/2020
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
Variational Autoencoders (VAEs) have experienced recent success as data-...
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12/18/2019
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
Recently, recommender systems have been able to emit substantially impro...
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10/21/2019
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification
Implicit discourse relation classification is of great importance for di...
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10/04/2019
Learning Robust Representations with Graph Denoising Policy Network
Graph representation learning, aiming to learn low-dimensional represent...
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06/07/2019
Association Between Intelligence and Cortical Thickness in Adolescents: Evidence from the ABCD Study
The relationship between the intelligence and brain morphology is warmly...
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11/20/2018
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Nowadays, multivariate time series data are increasingly collected in va...
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09/21/2018
Target Transfer Q-Learning and Its Convergence Analysis
Q-learning is one of the most popular methods in Reinforcement Learning ...
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04/07/2017
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
The Nonlinear autoregressive exogenous (NARX) model, which predicts the ...
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10/29/2016
FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras
Aiming at automatic, convenient and non-instrusive motion capture, this ...
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02/08/2016
