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09/20/2023
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening
Virtual screening of large compound libraries to identify potential hit ...
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09/16/2023
Generalizing Trimming Bounds for Endogenously Missing Outcome Data Using Random Forests
In many experimental or quasi-experimental studies, outcomes of interest...
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09/07/2023
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
Recently unsupervised machine learning based systems have been developed...
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08/05/2023
Elucidate Gender Fairness in Singing Voice Transcription
It is widely known that males and females typically possess different so...
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07/05/2023
LOAF-M2L: Joint Learning of Wording and Formatting for Singable Melody-to-Lyric Generation
Despite previous efforts in melody-to-lyric generation research, there i...
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06/19/2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) aims to continually learn ne...
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06/16/2023
Clickbait Detection via Large Language Models
Clickbait, which aims to induce users with some surprising and even thri...
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06/02/2023
Q A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement
Music rearrangement is a common music practice of reconstructing and rec...
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05/31/2023
Zero-Shot Automatic Pronunciation Assessment
Automatic Pronunciation Assessment (APA) is vital for computer-assisted ...
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05/26/2023
Songs Across Borders: Singable and Controllable Neural Lyric Translation
The development of general-domain neural machine translation (NMT) metho...
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05/05/2023
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning
Attribute graphs are ubiquitous in multimedia applications, and graph re...
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04/24/2023
Deep Audio-Visual Singing Voice Transcription based on Self-Supervised Learning Models
Singing voice transcription converts recorded singing audio to musical n...
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03/20/2023
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations
Multifold observations are common for different data modalities, e.g., a...
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03/09/2023
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition
Multi-media communications facilitate global interaction among people. H...
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03/05/2023
A Provably Secure Strong PUF based on LWE: Construction and Implementation
We construct a strong PUF with provable security against ML attacks on b...
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12/28/2022
Shape-Aware Fine-Grained Classification of Erythroid Cells
Fine-grained classification and counting of bone marrow erythroid cells ...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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11/29/2022
Data Privacy Protection in DeFi Protocols
With the development of decentralized finance (DeFi), the inherent limit...
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10/25/2022
Modular Software for Real-Time Quantum Control Systems
Real-time control software and hardware is essential for operating quant...
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10/17/2022
A Transformer-based Generative Model for De Novo Molecular Design
Deep learning draws a lot of attention as a new way of generating unseen...
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09/20/2022
Adversarial Bi-Regressor Network for Domain Adaptive Regression
Domain adaptation (DA) aims to transfer the knowledge of a well-labeled ...
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09/15/2022
Domain Adversarial Training on Conditional Variational Auto-Encoder for Controllable Music Generation
The variational auto-encoder has become a leading framework for symbolic...
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09/15/2022
Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention
We propose Beat Transformer, a novel Transformer encoder architecture fo...
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08/27/2022
SoK: Decentralized Finance (DeFi) Incidents
Within just four years, the blockchain-based Decentralized Finance (DeFi...
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08/25/2022
Data-driven Predictive Tracking Control based on Koopman Operators
We seek to combine the nonlinear modeling capabilities of a wide class o...
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07/26/2022
Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation
Currently end-to-end deep learning based open-domain dialogue systems re...
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07/20/2022
Towards Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription
Automatic speech recognition (ASR) has progressed significantly in recen...
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07/13/2022
MM-ALT: A Multimodal Automatic Lyric Transcription System
Automatic lyric transcription (ALT) is a nascent field of study attracti...
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06/07/2022
Non-decreasing Payment Rules for Combinatorial Auctions
Combinatorial auctions are used to allocate resources in domains where b...
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06/07/2022
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
Dual-Encoders is a promising mechanism for answer retrieval in question ...
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05/17/2022
Learning to Learn Quantum Turbo Detection
This paper investigates a turbo receiver employing a variational quantum...
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05/17/2022
Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems
This paper introduces a new quantum computing framework integrated with ...
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05/17/2022
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications
Commercial Wi-Fi devices can be used for integrated sensing and communic...
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05/17/2022
Quantum Transfer Learning for Wi-Fi Sensing
Beyond data communications, commercial-off-the-shelf Wi-Fi devices can b...
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04/27/2022
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising
Recently, convolutional neural networks (CNNs) and attention mechanisms ...
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04/25/2022
Understanding the Relationship Between Core Constraints and Core-Selecting Payment Rules in Combinatorial Auctions
Combinatorial auctions (CAs) allow bidders to express complex preference...
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04/08/2022
Exploring Transformer's potential on automatic piano transcription
Most recent research about automatic music transcription (AMT) uses conv...
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03/15/2022
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion
Temporal factors are tied to the growth of facts in realistic applicatio...
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12/28/2021
Multi-Band Wi-Fi Sensing with Matched Feature Granularity
Complementary to the fine-grained channel state information (CSI) from t...
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12/17/2021
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data
We provide a regularization framework for subject transfer learning in w...
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11/01/2021
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
Recent advances in generative adversarial networks (GANs) have led to re...
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10/19/2021
CGNN: Traffic Classification with Graph Neural Network
Traffic classification associates packet streams with known application ...
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07/18/2021
Best Subset Selection: Statistical Computing Meets Quantum Computing
With the rapid development of quantum computers, quantum algorithms have...
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07/17/2021
STRODE: Stochastic Boundary Ordinary Differential Equation
Perception of time from sequentially acquired sensory inputs is rooted i...
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07/02/2021
A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data
This paper introduces a unified framework of counterfactual estimation f...
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06/29/2021
Inference in Spatial Experiments with Interference using the SpatialEffect Package
This paper presents methods for analyzing spatial experiments when compl...
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06/29/2021
How to Account for Alternatives When Comparing Effects: Revisiting 'Bringing Education to Afghan Girls'
This paper uses a "principal strata" approach to decompose treatment eff...
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06/29/2021
Causal Inference under Temporal and Spatial Interference
Many social events and policies generate spillover effects in both time ...
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06/16/2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals
Convolutional neural networks (CNN) have been frequently used to extract...
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05/10/2021