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09/21/2023
Learning to Recover for Safe Reinforcement Learning
Safety controllers is widely used to achieve safe reinforcement learning...
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09/20/2023
Are Large Language Models Really Robust to Word-Level Perturbations?
The swift advancement in the scale and capabilities of Large Language Mo...
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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
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Although deep learning have revolutionized abdominal multi-organ segment...
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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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08/30/2023
SAM-Med2D
The Segment Anything Model (SAM) represents a state-of-the-art research ...
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08/21/2023
Large Language Models for Software Engineering: A Systematic Literature Review
Large Language Models (LLMs) have significantly impacted numerous domain...
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08/11/2023
Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space
Creating realistic 3D facial animation is crucial for various applicatio...
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08/06/2023
WASMixer: Binary Obfuscation for WebAssembly
WebAssembly (Wasm) is an emerging binary format that draws great attenti...
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07/17/2023
Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools
Provenance-Based Endpoint Detection and Response (P-EDR) systems are dee...
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07/02/2023
Abusing the Ethereum Smart Contract Verification Services for Fun and Profit
Smart contracts play a vital role in the Ethereum ecosystem. Due to the ...
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06/12/2023
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types
Prior studies generally focus on software vulnerability detection and ha...
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06/02/2023
Task-Agnostic Structured Pruning of Speech Representation Models
Self-supervised pre-trained models such as Wav2vec2, Hubert, and WavLM h...
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06/02/2023
DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model
Multilingual self-supervised speech representation models have greatly e...
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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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05/25/2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Data augmentation (DA) is a crucial technique for enhancing the sample e...
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05/18/2023
Whisper-KDQ: A Lightweight Whisper via Guided Knowledge Distillation and Quantization for Efficient ASR
Due to the rapid development of computing hardware resources and the dra...
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05/10/2023
A Deep Dive into NFT Rug Pulls
NFT rug pull is one of the most prominent type of scam that the develope...
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05/02/2023
A General Static Binary Rewriting Framework for WebAssembly
Binary rewriting is a widely adopted technique in software analysis. Web...
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04/14/2023
Eunomia: Enabling User-specified Fine-Grained Search in Symbolically Executing WebAssembly Binaries
Although existing techniques have proposed automated approaches to allev...
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04/13/2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Large-scale models pre-trained on large-scale datasets have profoundly a...
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04/07/2023
Echo disappears: momentum term structure and cyclic information in turnover
We extract cyclic information in turnover and find it can explain the mo...
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03/27/2023
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
Deep neural networks are proven to be vulnerable to backdoor attacks. De...
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03/20/2023
HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting
We present a simple yet effective method for skeleton-free motion retarg...
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01/29/2023
Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps
The privacy of personal information has received significant attention i...
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01/28/2023
Characterizing and Detecting WebAssembly Runtime Bugs
WebAssembly (abbreviated WASM) has emerged as a promising language of th...
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01/08/2023
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning
A general framework of unsupervised learning for combinatorial optimizat...
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12/30/2022
Resampling Sensitivity of High-Dimensional PCA
The study of stability and sensitivity of statistical methods or algorit...
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11/25/2022
Causal Vector Autoregression Enhanced with Covariance and Order Selection
A causal vector autoregressive (CVAR) model is introduced for weakly sta...
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11/08/2022
Optimal Smoothed Analysis and Quantitative Universality for the Smallest Singular Value of Random Matrices
The smallest singular value and condition number play important roles in...
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10/14/2022
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans
Tumor lesion segmentation is one of the most important tasks in medical ...
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10/13/2022
Multilingual Zero Resource Speech Recognition Base on Self-Supervise Pre-Trained Acoustic Models
Labeled audio data is insufficient to build satisfying speech recognitio...
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10/12/2022
Zero-Shot On-the-Fly Event Schema Induction
What are the events involved in a pandemic outbreak? What steps should b...
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10/10/2022
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction
In this paper, we seek to improve the faithfulness of TempRel extraction...
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10/08/2022
Are All Steps Equally Important? Benchmarking Essentiality Detection of Events
Natural language often describes events in different granularities, such...
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09/08/2022
Consensus on Dynamic Stochastic Block Models: Fast Convergence and Phase Transitions
We introduce two models of consensus following a majority rule on time-e...
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09/06/2022
An evaluation of U-Net in Renal Structure Segmentation
Renal structure segmentation from computed tomography angiography (CTA) ...
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08/08/2022
Gaze Estimation Approach Using Deep Differential Residual Network
Gaze estimation, which is a method to determine where a person is lookin...
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07/19/2022
A Survey on EOSIO Systems Security: Vulnerability, Attack, and Mitigation
EOSIO, as one of the most representative blockchain 3.0 platforms, invol...
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07/17/2022
LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing
Serverless computing is an emerging cloud computing paradigm that frees ...
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07/13/2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Using machine learning to solve combinatorial optimization (CO) problems...
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07/05/2022
iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps
Vetting security impacts introduced by third-party libraries in iOS apps...
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06/29/2022
The THUEE System Description for the IARPA OpenASR21 Challenge
This paper describes the THUEE team's speech recognition system for the ...
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05/31/2022
Dataset Bias in Android Malware Detection
Researchers have proposed kinds of malware detection methods to solve th...
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03/15/2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Contemporary deep-learning object detection methods for autonomous drivi...
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03/08/2022
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation
The data-centric machine learning aims to find effective ways to build a...
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02/23/2022
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
Action recognition has been a heated topic in computer vision for its wi...
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02/22/2022
Random Graph Matching in Geometric Models: the Case of Complete Graphs
This paper studies the problem of matching two complete graphs with edge...
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02/04/2022
Numerical Demonstration of Multiple Actuator Constraint Enforcement Algorithm for a Molten Salt Loop
To advance the paradigm of autonomous operation for nuclear power plants...
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10/30/2021