node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
29,878 | 33 | Title: The Fine-Grained Complexity of CFL Reachability
Abstract: Many problems in static program analysis can be modeled as the context-free language (CFL) reachability problem on directed labeled graphs. The CFL reachability problem can be generally solved in time O(n3), where n is the number of vertices in the graph,... | [
5325
] | Train |
29,879 | 23 | Title: Automated and Systematic Digital Twins Testing for Industrial Processes
Abstract: Digital twins (DT) of industrial processes have become increasingly important. They aim to digitally represent the physical world to help evaluate, optimize, and predict physical processes and behaviors. Therefore, DT is a vital to... | [] | Train |
29,880 | 34 | Title: Differentially Private All-Pairs Shortest Distances for Low Tree-Width Graphs
Abstract: In this paper, we present a polynomial time algorithm for the problem of differentially private all pair shortest distances over the class of low tree-width graphs. Our result generalizes the result of Sealfon 2016 for the ca... | [] | Train |
29,881 | 10 | Title: Neurosymbolic Reinforcement Learning and Planning: A Survey
Abstract: The area of Neurosymbolic Artificial Intelligence (Neurosymbolic AI) is rapidly developing and has become a popular research topic, encompassing sub-fields such as Neurosymbolic Deep Learning (Neurosymbolic DL) and Neurosymbolic Reinforcement ... | [
4072
] | Train |
29,882 | 16 | Title: Swin-Free: Achieving Better Cross-Window Attention and Efficiency with Size-varying Window
Abstract: Transformer models have shown great potential in computer vision, following their success in language tasks. Swin Transformer is one of them that outperforms convolution-based architectures in terms of accuracy, ... | [] | Validation |
29,883 | 16 | Title: Optimizing YOLOv7 for semiconductor defect detection
Abstract: The field of object detection using Deep Learning (DL) is constantly evolving with many new techniques and models being proposed. YOLOv7 is a state-of-the-art object detector based on the YOLO family of models which have become popular for industrial... | [
34250,
35106
] | Train |
29,884 | 4 | Title: Don't Shoot the Messenger: Localization Prevention of Satellite Internet Users
Abstract: Satellite Internet plays an increasingly important role in geopolitical conflicts. This notion was affirmed in the Ukrainian conflict escalating at the beginning of 2022, with the large-scale deployment of the Starlink satel... | [] | Train |
29,885 | 27 | Title: Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination
Abstract: This paper investigates the problem of on-orbit spacecraft inspection using a single free-flying deputy spacecraft, equipped with an optical sensor, whose controller is a neural network control system trained with Reinf... | [
7841,
29322
] | Train |
29,886 | 30 | Title: Knowledge Enhanced Semantic Communication Receiver
Abstract: In recent years, with the rapid development of deep learning and natural language processing technologies, semantic communication has become a topic of great interest in the field of communication. Although existing deep learning-based semantic communi... | [
19299
] | Validation |
29,887 | 10 | Title: Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher
Abstract: Visual explanation is an approach for visualizing the grounds of judgment by deep learning, and it is possible to visually interpret the grounds of a judgment for a certain input by visualizin... | [] | Test |
29,888 | 24 | Title: Robust Learning with Progressive Data Expansion Against Spurious Correlation
Abstract: While deep learning models have shown remarkable performance in various tasks, they are susceptible to learning non-generalizable spurious features rather than the core features that are genuinely correlated to the true label.... | [
8309,
33823
] | Validation |
29,889 | 28 | Title: Continuous-Time Channel Prediction Based on Tensor Neural Ordinary Differential Equation
Abstract: Channel prediction is critical to address the channel aging issue in mobile scenarios. Existing channel prediction techniques are mainly designed for discrete channel prediction, which can only predict the future c... | [] | Train |
29,890 | 24 | Title: On the Ideal Number of Groups for Isometric Gradient Propagation
Abstract: Recently, various normalization layers have been proposed to stabilize the training of deep neural networks. Among them, group normalization is a generalization of layer normalization and instance normalization by allowing a degree of fre... | [] | Train |
29,891 | 30 | Title: Robust Multi-bit Natural Language Watermarking through Invariant Features
Abstract: Recent years have witnessed a proliferation of valuable original natural language contents found in subscription-based media outlets, web novel platforms, and outputs of large language models. However, these contents are suscepti... | [
6531,
22476,
1917,
22574
] | Test |
29,892 | 24 | Title: Understanding Self-Distillation in the Presence of Label Noise
Abstract: Self-distillation (SD) is the process of first training a \enquote{teacher} model and then using its predictions to train a \enquote{student} model with the \textit{same} architecture. Specifically, the student's objective function is $\big... | [] | Validation |
29,893 | 16 | Title: Superpixels algorithms through network community detection
Abstract: Community detection is a powerful tool from complex networks analysis that finds applications in various research areas. Several image segmentation methods rely for instance on community detection algorithms as a black box in order to compute u... | [] | Test |
29,894 | 30 | Title: EcomGPT: Instruction-tuning Large Language Model with Chain-of-Task Tasks for E-commerce
Abstract: Recently, instruction-following Large Language Models (LLMs) , represented by ChatGPT, have exhibited exceptional performance in general Natural Language Processing (NLP) tasks. However, the unique characteristics ... | [
40192,
13700,
109,
45300,
24308,
31837,
8632,
44445
] | Train |
29,895 | 27 | Title: DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
Abstract: To enable general-purpose robots, we will require the robot to operate daily articulated objects as humans do. Current robot manipulation has heavily relied on using a parallel gripper, which restricts the robot to a lim... | [
15743,
8983
] | Train |
29,896 | 16 | Title: SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing
Abstract: The presence of non-homogeneous haze can cause scene blurring, color distortion, low contrast, and other degradations that obscure texture details. Existing homogeneous dehazing methods struggle to handle the non-un... | [
9232
] | Validation |
29,897 | 13 | Title: Swarm Bug Algorithms for Path Generation in Unknown Environments
Abstract: In this paper, we consider the problem of a swarm traveling between two points as fast as possible in an unknown environment cluttered with obstacles. Potential applications include search-and-rescue operations where damaged environments ... | [
26715
] | Test |
29,898 | 10 | Title: Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
Abstract: Experts advising decision-makers are likely to display expertise which varies as a function of the problem instance. In practice, this may lead to sub-optimal or discriminatory decisions against minority cases. In this work we ... | [] | Validation |
29,899 | 30 | Title: Bias or Diversity? Unraveling Fine-Grained Thematic Discrepancy in U.S. News Headlines
Abstract: There is a broad consensus that news media outlets incorporate ideological biases in their news articles. However, prior studies on measuring the discrepancies among media outlets and further dissecting the origins o... | [] | Validation |
29,900 | 16 | Title: Weakly-supervised Representation Learning for Video Alignment and Analysis
Abstract: Many tasks in video analysis and understanding boil down to the need for frame-based feature learning, aiming to encapsulate the relevant visual content so as to enable simpler and easier subsequent processing. While supervised ... | [
23071
] | Train |
29,901 | 16 | Title: Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Abstract: Deep generative models (DGMs) and their conditional counterparts provide a powerful ability for general-purpose generative modeling of data distributions. However, it remains challenging for existing methods to a... | [] | Train |
29,902 | 16 | Title: PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow
Abstract: During industrial processing, unforeseen defects may arise in products due to uncontrollable factors. Although unsupervised methods have been successful in defect localization, the usual use of pre-trained model... | [
40265,
9825,
34749
] | Train |
29,903 | 5 | Title: On the Semantic Overlap of Operators in Stream Processing Engines
Abstract: Stream processing is extensively used in the IoT-to-Cloud spectrum to distill information from continuous streams of data. Streaming applications usually run in dedicated Stream Processing Engines (SPEs) that adopt the DataFlow model, wh... | [] | Train |
29,904 | 16 | Title: Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation
Abstract: Accurate building height estimation is key to the automatic derivation of 3D city models from emerging big geospatial data, including Volunteered Geographical Information (VGI). However, an autom... | [] | Validation |
29,905 | 9 | Title: Relaxed Local Correctability from Local Testing
Abstract: We cement the intuitive connection between relaxed local correctability and local testing by presenting a concrete framework for building a relaxed locally correctable code from any family of linear locally testable codes with sufficiently high rate. When... | [
26065
] | Test |
29,906 | 24 | Title: Distances for Markov Chains, and Their Differentiation
Abstract: (Directed) graphs with node attributes are a common type of data in various applications and there is a vast literature on developing metrics and efficient algorithms for comparing them. Recently, in the graph learning and optimization communities,... | [
14307
] | Train |
29,907 | 24 | Title: Continual Learning From a Stream of APIs
Abstract: Continual learning (CL) aims to learn new tasks without forgetting previous tasks. However, existing CL methods require a large amount of raw data, which is often unavailable due to copyright considerations and privacy risks. Instead, stakeholders usually releas... | [
14618
] | Train |
29,908 | 23 | Title: DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
Abstract: Vulnerability detection is a critical problem in software security and attracts growing attention both from academia and industry. Traditionally, softwa... | [] | Train |
29,909 | 24 | Title: A General Recipe for Automated Machine Learning in Practice
Abstract: nan | [] | Train |
29,910 | 30 | Title: Assessing Word Importance Using Models Trained for Semantic Tasks
Abstract: Many NLP tasks require to automatically identify the most significant words in a text. In this work, we derive word significance from models trained to solve semantic task: Natural Language Inference and Paraphrase Identification. Using ... | [] | Test |
29,911 | 24 | Title: On the Expressivity Role of LayerNorm in Transformers' Attention
Abstract: Layer Normalization (LayerNorm) is an inherent component in all Transformer-based models. In this paper, we show that LayerNorm is crucial to the expressivity of the multi-head attention layer that follows it. This is in contrast to the c... | [
4346,
26165
] | Train |
29,912 | 31 | Title: A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Abstract: Recommender Systems (RSs) are used to provide users with personalized item recommendations and help them overcome the problem of information overload. Currently, recommendation methods based on deep ... | [] | Train |
29,913 | 24 | Title: Enhancing Fairness in AI-based Travel Demand Forecasting Models
Abstract: Artificial Intelligence (AI) and machine learning have been increasingly adopted for forecasting real-time travel demand. These AI-based travel demand forecasting models, though generate highly-accurate predictions, may produce prediction ... | [] | Train |
29,914 | 8 | Title: Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition
Abstract: This article introduces a new method to improve the dependability of millimeter-wave (mmWave) and terahertz (THz) network services in dynamic outdoor environments. In the... | [
22640
] | Validation |
29,915 | 30 | Title: Improving Cascaded Unsupervised Speech Translation with Denoising Back-translation
Abstract: Most of the speech translation models heavily rely on parallel data, which is hard to collect especially for low-resource languages. To tackle this issue, we propose to build a cascaded speech translation system without ... | [
31342
] | Test |
29,916 | 4 | Title: Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance
Abstract: Many studies have proposed machine-learning (ML) models for malware detection and classification, reporting an almost-perfect performance. However, they assemble grou... | [] | Train |
29,917 | 30 | Title: Investigating Pre-trained Audio Encoders in the Low-Resource Condition
Abstract: Pre-trained speech encoders have been central to pushing state-of-the-art results across various speech understanding and generation tasks. Nonetheless, the capabilities of these encoders in low-resource settings are yet to be thoro... | [] | Train |
29,918 | 24 | Title: Consensus of state of the art mortality prediction models: From all-cause mortality to sudden death prediction
Abstract: Worldwide, many millions of people die suddenly and unexpectedly each year, either with or without a prior history of cardiovascular disease. Such events are sparse (once in a lifetime), many ... | [] | Train |
29,919 | 6 | Title: Building Better Human-Agent Teams: Tradeoffs in Helpfulness and Humanness in Voice
Abstract: We manipulate the helpfulness and voice type of a voice-only agent teammate to examine subjective and objective outcomes in twenty teams with one agent and at least three humans during a problem solving task. Our results... | [] | Train |
29,920 | 16 | Title: Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration
Abstract: —The great success of Deep Neural Networks (DNNs) has inspired the algorithmic development of DNN-based Fixed-Point (DNN-FP) for computer vision tasks. DNN-FP methods, trained by Back-Propagation Through Time ... | [] | Train |
29,921 | 24 | Title: Curvature-based Pooling within Graph Neural Networks
Abstract: Over-squashing and over-smoothing are two critical issues, that limit the capabilities of graph neural networks (GNNs). While over-smoothing eliminates the differences between nodes making them indistinguishable, over-squashing refers to the inabilit... | [
32957
] | Train |
29,922 | 3 | Title: The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education?
Abstract: This paper explores the potential of artificial intelligence (AI) in higher education, specifically its capacity to replace or assist human teachers. By reviewing relevant literature and analysing survey data from s... | [
37491,
8300,
30548
] | Train |
29,923 | 10 | Title: Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?
Abstract: Recent advancements in technology, particularly in machine learning (ML), deep learning (DL), and the metaverse, offer great potential for revolutionizing surgical science. The combination of artificial intelligence and extende... | [] | Test |
29,924 | 18 | Title: Superconducting Heater Cryotron-Based Reconfigurable Logic Towards Cryogenic IC Camouflaging
Abstract: Superconducting electronics are among the most promising alternatives to conventional CMOS technology thanks to the ultra-fast speed and ultra-high energy efficiency of the superconducting devices. Having a cry... | [] | Train |
29,925 | 33 | Title: From Muller to Parity and Rabin Automata: Optimal Transformations Preserving (History-)Determinism
Abstract: We study transformations of automata and games using Muller conditions into equivalent ones using parity or Rabin conditions. We present two transformations, one that turns a deterministic Muller automato... | [] | Train |
29,926 | 24 | Title: The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Abstract: This paper investigates model robustness in reinforcement learning (RL) to reduce the sim-to-real gap in practice. We adopt the framework of distributionally robust Markov decision processes (RMDPs), aimed ... | [
3106,
40489,
27979,
28691,
19540,
30807,
3287
] | Train |
29,927 | 26 | Title: Online Networks of Support in Distressed Environments: Solidarity and Mobilization during the Russian Invasion of Ukraine
Abstract: Despite their drawbacks and unintended consequences, social media networks have recently emerged as a crucial resource for individuals in distress, particularly during times of cris... | [
20503
] | Train |
29,928 | 30 | Title: Towards Weakly-Supervised Hate Speech Classification Across Datasets
Abstract: As pointed out by several scholars, current research on hate speech (HS) recognition is characterized by unsystematic data creation strategies and diverging annotation schemata. Subsequently, supervised-learning models tend to general... | [
40192,
6173
] | Train |
29,929 | 16 | Title: Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images
Abstract: On the promise that if human users know the cause of an output, it would enable them to grasp the process responsible for the output, and hence provide understanding, many explainable methods have been proposed to in... | [
44474,
43228,
13213
] | Train |
29,930 | 30 | Title: Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context
Abstract: A fundamental question in neurolinguistics concerns the brain regions involved in syntactic and semantic processing during speech comprehension, both at the lexical (word processin... | [
13715,
22252,
42319
] | Validation |
29,931 | 10 | Title: DeepHive: A multi-agent reinforcement learning approach for automated discovery of swarm-based optimization policies
Abstract: We present an approach for designing swarm-based optimizers for the global optimization of expensive black-box functions. In the proposed approach, the problem of finding efficient optim... | [] | Train |
29,932 | 24 | Title: EENet: Learning to Early Exit for Adaptive Inference
Abstract: the computational | [
15042
] | Validation |
29,933 | 2 | Title: Combining Dependency, Grades, and Adjoint Logic
Abstract: We propose two new dependent type systems. The first, is a dependent graded/linear type system where a graded dependent type system is connected via modal operators to a linear type system in the style of Linear/Non-linear logic. We then generalize this s... | [] | Train |
29,934 | 27 | Title: Ablation Study on Features in Learning-based Joints Calibration of Cable-driven Surgical Robots
Abstract: With worldwide implementation, millions of surgeries are assisted by surgical robots. The cable-drive mechanism on many surgical robots allows flexible, light, and compact arms and tools. However, the slack ... | [] | Validation |
29,935 | 23 | Title: AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
Abstract: Many ML-based approaches have been proposed to automatically detect, localize, and repair software vulnerabilities. While ML-based methods are more effective than program analysis-based vulnerability analys... | [] | Validation |
29,936 | 25 | Title: LaunchpadGPT: Language Model as Music Visualization Designer on Launchpad
Abstract: Launchpad is a musical instrument that allows users to create and perform music by pressing illuminated buttons. To assist and inspire the design of the Launchpad light effect, and provide a more accessible approach for beginners... | [
18777
] | Train |
29,937 | 24 | Title: Hierarchical and Decentralised Federated Learning
Abstract: Federated learning has shown enormous promise as a way of training ML models in distributed environments while reducing communication costs and protecting data privacy. However, the rise of complex cyber-physical systems, such as the Internet-of-Things,... | [] | Train |
29,938 | 16 | Title: Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters
Abstract: The success of deep learning is frequently described as the ability to train all parameters of a network on a specific application in an end-to-end fashion. Yet, several design choices on the camera level, includin... | [] | Train |
29,939 | 4 | Title: Analysis of Cascading Failures Due to Dynamic Load-Altering Attacks
Abstract: Large-scale load-altering attacks (LAAs) are known to severely disrupt power grid operations by manipulating several internet-of-things (IoT)-enabled load devices. In this work, we analyze power grid cascading failures induced by such ... | [] | Test |
29,940 | 30 | Title: A data science and machine learning approach to continuous analysis of Shakespeare's plays
Abstract: The availability of quantitative text analysis methods has provided new ways
of analyzing literature in a manner that was not available in the
pre-information era. Here we apply comprehensive machine learning ana... | [] | Train |
29,941 | 24 | Title: From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
Abstract: Knowledge graph embedding (KGE) that maps entities and relations into vector representations is essential for downstream tasks. Conventional KGE methods require relatively high-dimensional entity representati... | [] | Validation |
29,942 | 16 | Title: Indoor Localization and Multi-person Tracking Using Privacy Preserving Distributed Camera Network with Edge Computing
Abstract: Localization of individuals in a built environment is a growing research topic. Estimating the positions, face orientation (or gaze direction) and trajectories of people through space h... | [
41666
] | Train |
29,943 | 23 | Title: A customizable approach to assess software quality through Multi-Criteria Decision Making
Abstract: Over the years, Software Quality Engineering has increased interest, demonstrated by significant research papers published in this area. Determining when a software artifact is qualitatively valid is tricky, given... | [
33432
] | Test |
29,944 | 16 | Title: RelightableHands: Efficient Neural Relighting of Articulated Hand Models
Abstract: We present the first neural relighting approach for rendering high-fidelity personalized hands that can be animated in real-time under novel illumination. Our approach adopts a teacher-student framework, where the teacher learns a... | [
19620
] | Test |
29,945 | 16 | Title: Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training
Abstract: Machine learning models have shown increased accuracy in classification tasks when the training process incorporates human perceptual information. However, a challenge in training human-guided models is ... | [] | Train |
29,946 | 30 | Title: S2vNTM: Semi-supervised vMF Neural Topic Modeling
Abstract: Language model based methods are powerful techniques for text classification. However, the models have several shortcomings. (1) It is difficult to integrate human knowledge such as keywords. (2) It needs a lot of resources to train the models. (3) It r... | [
13080,
46040
] | Test |
29,947 | 30 | Title: Unsupervised Selective Rationalization with Noise Injection
Abstract: A major issue with using deep learning models in sensitive applications is that they provide no explanation for their output. To address this problem, unsupervised selective rationalization produces rationales alongside predictions by chaining... | [] | Test |
29,948 | 16 | Title: Tracking Players in a Badminton Court by Two Cameras
Abstract: This study proposes a simple method for multi-object tracking (MOT) of players in a badminton court. We leverage two off-the-shelf cameras, one on the top of the court and the other on the side of the court. The one on the top is to track players' tr... | [] | Train |
29,949 | 16 | Title: Sensor Fusion by Spatial Encoding for Autonomous Driving
Abstract: Sensor fusion is critical to perception systems for task domains such as autonomous driving and robotics. Recently, the Transformer integrated with CNN has demonstrated high performance in sensor fusion for various perception tasks. In this work,... | [] | Train |
29,950 | 10 | Title: Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach
Abstract: Declarative process specifications define the behavior of processes by means of rules based on Linear Temporal Logic on Finite Traces (LTLf). In a mining context, these specifications are inferred from, and checked o... | [] | Validation |
29,951 | 24 | Title: Loss-Curvature Matching for Dataset Selection and Condensation
Abstract: Training neural networks on a large dataset requires substantial computational costs. Dataset reduction selects or synthesizes data instances based on the large dataset, while minimizing the degradation in generalization performance from th... | [
37003
] | Test |
29,952 | 4 | Title: FedRight: An Effective Model Copyright Protection for Federated Learning
Abstract: Federated learning (FL), an effective distributed machine learning framework, implements model training and meanwhile protects local data privacy. It has been applied to a broad variety of practice areas due to its great performan... | [
12468
] | Train |
29,953 | 16 | Title: Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media
Abstract: Indirect time-of-flight (iToF) imaging allows us to capture dense depth information at a low cost. However, iToF imaging often suffers from multipath interference (MPI) artifacts in the presence of scattering media, resulting in ... | [] | Train |
29,954 | 4 | Title: Protecting Quantum Procrastinators with Signature Lifting: A Case Study in Cryptocurrencies
Abstract: Current solutions to quantum vulnerabilities of widely used cryptographic schemes involve migrating users to post-quantum schemes before quantum attacks become feasible. This work deals with protecting quantum p... | [] | Test |
29,955 | 27 | Title: Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments using Occlusion-Free Spheres
Abstract: Autonomous exploration is a crucial aspect of robotics that has numerous applications. Most of the existing methods greedily choose goals that maximize immediate reward. This strategy is comp... | [] | Train |
29,956 | 4 | Title: Evaluation of ChatGPT Model for Vulnerability Detection
Abstract: In this technical report, we evaluated the performance of the ChatGPT and GPT-3 models for the task of vulnerability detection in code. Our evaluation was conducted on our real-world dataset, using binary and multi-label classification tasks on CW... | [
19970,
676,
44452,
13510,
15852,
26357,
35093
] | Train |
29,957 | 24 | Title: A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection
Abstract: Unmanned aerial vehicles (UAVs) are promising for providing communication services due to their advantages in cost and mobility, especially in the context of the emerging Metaverse an... | [] | Validation |
29,958 | 24 | Title: A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
Abstract: We investigate the problem of stochastic, combinatorial multi-armed bandits where the learner only has access to bandit feedback and the reward function can be non-linear. We provide a ge... | [
13017,
44418,
42926
] | Train |
29,959 | 34 | Title: An FPTAS for Budgeted Laminar Matroid Independent Set
Abstract: We study the budgeted laminar matroid independent set problem. The input is a ground set, where each element has a cost and a non-negative profit, along with a laminar matroid over the elements and a budget. The goal is to select a maximum profit in... | [
27755,
28645,
23227,
3981
] | Train |
29,960 | 24 | Title: SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Abstract: Graph Neural Networks (GNNs) are de facto solutions to structural data learning. However, it is susceptible to low-quality and unreliable structure, which has been a norm rather than an exception ... | [
22084,
17478
] | Train |
29,961 | 24 | Title: Adaptive Principal Component Regression with Applications to Panel Data
Abstract: Principal component regression (PCR) is a popular technique for fixed-design error-in-variables regression, a generalization of the linear regression setting in which the observed covariates are corrupted with random noise. We prov... | [] | Train |
29,962 | 24 | Title: Developing novel ligands with enhanced binding affinity for the sphingosine 1-phosphate receptor 1 using machine learning
Abstract: Multiple sclerosis (MS) is a debilitating neurological disease affecting nearly one million people in the United States. Sphingosine-1-phosphate receptor 1, or S1PR1, is a protein t... | [] | Train |
29,963 | 25 | Title: MVD: A Novel Methodology and Dataset for Acoustic Vehicle Type Classification
Abstract: Rising urban populations have led to a surge in vehicle use and made traffic monitoring and management indispensable. Acoustic traffic monitoring (ATM) offers a cost-effective and efficient alternative to more computationally... | [
24636
] | Train |
29,964 | 24 | Title: Estimating irregular water demands with physics-informed machine learning to inform leakage detection
Abstract: Leakages in drinking water distribution networks pose significant challenges to water utilities, leading to infrastructure failure, operational disruptions, environmental hazards, property damage, and ... | [] | Train |
29,965 | 30 | Title: SEntFiN 1.0: Entity‐aware sentiment analysis for financial news
Abstract: Fine‐grained financial sentiment analysis on news headlines is a challenging task requiring human‐annotated datasets to achieve high performance. Limited studies have tried to address the sentiment extraction task in a setting where multip... | [
2859,
38540,
8894
] | Validation |
29,966 | 27 | Title: Dynamic Modeling and Analysis of Impact-resilient MAVs Undergoing High-speed and Large-angle Collisions with the Environment
Abstract: Micro Aerial Vehicles (MAVs) often face a high risk of collision during autonomous flight, particularly in cluttered and unstructured environments. To mitigate the collision impa... | [] | Train |
29,967 | 24 | Title: Backpropagation of Unrolled Solvers with Folded Optimization
Abstract: The integration of constrained optimization models as components in deep networks has led to promising advances on many specialized learning tasks.
A central challenge in this setting is backpropagation through the solution of an optimizatio... | [
12233
] | Train |
29,968 | 30 | Title: Zero-Shot Multi-Label Topic Inference with Sentence Encoders
Abstract: Sentence encoders have indeed been shown to achieve superior performances for many downstream text-mining tasks and, thus, claimed to be fairly general. Inspired by this, we performed a detailed study on how to leverage these sentence encoder... | [] | Test |
29,969 | 24 | Title: Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
Abstract: Many real-world applications require an agent to make robust and deliberate decisions with multimodal information (e.g., robots with multi-sensory inputs). However, it is very challenging to train the agent v... | [] | Train |
29,970 | 28 | Title: Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems
Abstract: The downlink channel state information (CSI) estimation and low overhead acquisition are the major challenges for massive MIMO systems in frequency division duplex to enable high MIMO gain. Recently, numerous s... | [] | Train |
29,971 | 16 | Title: Video Event Restoration Based on Keyframes for Video Anomaly Detection
Abstract: Video anomaly detection (VAD) is a significant computer vision problem. Existing deep neural network (DNN) based VAD methods mostly follow the route of frame reconstruction or frame prediction. However, the lack of mining and learni... | [
4786,
1754
] | Validation |
29,972 | 24 | Title: Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment
Abstract: This paper presents TAG, an automatic system to derive optimized DNN training graph and its deployment onto any device topology, for expedited training in device- and topology- heterogeneous ML clusters. We novelly combine ... | [] | Train |
29,973 | 4 | Title: Flexible Remote Attestation of Pre-SNP SEV VMs Using SGX Enclaves
Abstract: We propose a protocol that explores a synergy between two TEE implementations: it brings SGX-like remote attestation to SEV VMs. We use the notion of a trusted guest owner, implemented as an SGX enclave, to deploy, attest, and provision ... | [] | Train |
29,974 | 23 | Title: Towards Formal Verification of a TPM Software Stack
Abstract: The Trusted Platform Module (TPM) is a cryptoprocessor designed to protect integrity and security of modern computers. Communications with the TPM go through the TPM Software Stack (TSS), a popular implementation of which is the open-source library tp... | [] | Validation |
29,975 | 24 | Title: Towards Robust Feature Learning with t-vFM Similarity for Continual Learning
Abstract: Continual learning has been developed using standard supervised contrastive loss from the perspective of feature learning. Due to the data imbalance during the training, there are still challenges in learning better representa... | [] | Train |
29,976 | 27 | Title: Nonlinear Model Predictive Control for Cooperative Transportation and Manipulation of Cable Suspended Payloads with Multiple Quadrotors
Abstract: Autonomous Micro Aerial Vehicles (MAVs) such as quadrotors equipped with manipulation mechanisms have the potential to assist humans in tasks such as construction and ... | [
23281
] | Train |
29,977 | 10 | Title: Converting the Suggested Upper Merged Ontology to Typed First-order Form
Abstract: We describe the translation of the Suggested Upper Merged Ontology (SUMO) to Typed First-order Form (TFF) with level 0 polymorphism. Building on our prior work to create a TPTP FOF translation of SUMO for use in the E and Vampire ... | [
11395
] | Validation |
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