node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
22,878 | 7 | Title: SymX: Energy-based Simulation from Symbolic Expressions
Abstract: Optimization time integrators have proven to be effective at solving complex multi-physics problems, such as deformation of solids with non-linear material models, contact with friction, strain limiting, etc. For challenging problems with high acc... | [] | Train |
22,879 | 16 | Title: LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
Abstract: Deep learning based fusion methods have been achieving promising performance in image fusion tasks. This is attributed to the network architecture that plays a very important role in the fusion process. Howeve... | [
13521,
31163,
21069,
17605
] | Train |
22,880 | 16 | Title: Transferable Attack for Semantic Segmentation
Abstract: We analysis performance of semantic segmentation models wrt. adversarial attacks, and observe that the adversarial examples generated from a source model fail to attack the target models. i.e The conventional attack methods, such as PGD and FGSM, do not tra... | [
23545,
10843,
22372
] | Train |
22,881 | 24 | Title: Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
Abstract: For cyber-physical systems in the 6G era, semantic communications connecting distributed devices for dynamic control and remote state estimation are required to guarantee application-level performance, no... | [] | Validation |
22,882 | 22 | Title: Types, equations, dimensions and the Pi theorem
Abstract: The languages of mathematical physics and modelling are endowed with a rich"grammar of dimensions"that common abstractions of programming languages fail to represent. We propose a dependently typed domain-specific language (embedded in Idris) that capture... | [] | Test |
22,883 | 16 | Title: Combining geolocation and height estimation of objects from street level imagery
Abstract: We propose a pipeline for combined multi-class object geolocation and height estimation from street level RGB imagery, which is considered as a single available input data modality. Our solution is formulated via Markov Ra... | [] | Train |
22,884 | 2 | Title: Normalization for Multimodal Type Theory
Abstract: We prove normalization for MTT, a general multimodal dependent type theory capable of expressing modal type theories for guarded recursion, internalized parametricity, and various other prototypical modal situations. We prove that deciding type checking and conv... | [
25878,
21871
] | Train |
22,885 | 33 | Title: Coverability in VASS Revisited: Improving Rackoff's Bound to Obtain Conditional Optimality
Abstract: Seminal results establish that the coverability problem for Vector Addition Systems with States (VASS) is in EXPSPACE (Rackoff, '78) and is EXPSPACE-hard already under unary encodings (Lipton, '76). More precisel... | [
37572,
35886,
18527
] | Validation |
22,886 | 24 | Title: Raising the Cost of Malicious AI-Powered Image Editing
Abstract: We present an approach to mitigating the risks of malicious image editing posed by large diffusion models. The key idea is to immunize images so as to make them resistant to manipulation by these models. This immunization relies on injection of imp... | [
35940,
27301,
25670,
44741,
43945,
22476,
20109,
29200,
19249,
14610,
27059,
4345,
45245
] | Validation |
22,887 | 4 | Title: Universally Composable Simultaneous Broadcast against a Dishonest Majority and Applications
Abstract: Simultaneous broadcast (SBC) protocols, introduced in [Chor et al., FOCS 1985], constitute a special class of broadcast channels which, besides consistency, guarantee that all senders broadcast their messages in... | [] | Train |
22,888 | 2 | Title: A PBPO+ Graph Rewriting Tutorial
Abstract: We provide a tutorial introduction to the algebraic graph rewriting formalism PBPO+. We show how PBPO+ can be obtained by composing a few simple building blocks, and model the reduction rules for binary decision diagrams as an example. Along the way, we comment on how a... | [
28919
] | Test |
22,889 | 36 | Title: Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates
Abstract: We consider the problem of large-scale Fisher market equilibrium computation through scalable first-order optimization methods. It is well-known that market equilibria can be captured using structured convex programs such a... | [] | Train |
22,890 | 34 | Title: Support Testing in the Huge Object Model
Abstract: The Huge Object model is a distribution testing model in which we are given access to independent samples from an unknown distribution over the set of strings $\{0,1\}^n$, but are only allowed to query a few bits from the samples. We investigate the problem of t... | [
303
] | Validation |
22,891 | 24 | Title: Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation
Abstract: Data-driven state estimation (SE) is becoming increasingly important in modern power systems, as it allows for more efficient analysis of system behaviour using real-time measurement data. This paper t... | [] | Test |
22,892 | 23 | Title: A comparison between traditional and Serverless technologies in a microservices setting
Abstract: Serverless technologies, also known as FaaS (Function as a Service), are promoted as solutions that provide dynamic scalability, speed of development, cost-per-consumption model, and the ability to focus on the code... | [] | Validation |
22,893 | 27 | Title: Symbolic Perception Risk in Autonomous Driving
Abstract: We develop a novel framework to assess the risk of misperception in a traffic sign classification task in the presence of exogenous noise. We consider the problem in an autonomous driving setting, where visual input quality gradually improves due to improv... | [
16503
] | Test |
22,894 | 36 | Title: Fair Allocation of goods and chores - Tutorial and Survey of Recent Results
Abstract: Fair resource allocation is an important problem in many real-world scenarios, where resources such as goods and chores must be allocated among agents. In this survey, we delve into the intricacies of fair allocation, focusing ... | [] | Train |
22,895 | 24 | Title: Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings
Abstract: nan | [] | Train |
22,896 | 24 | Title: On Single Index Models beyond Gaussian Data
Abstract: Sparse high-dimensional functions have arisen as a rich framework to study the behavior of gradient-descent methods using shallow neural networks, showcasing their ability to perform feature learning beyond linear models. Amongst those functions, the simplest... | [
20488,
30467
] | Test |
22,897 | 7 | Title: Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
Abstract: Molecular conformation generation (MCG) is a fundamental and important problem in drug discovery. Many traditional methods have been developed to solve the MCG problem, such as systematic searching, model-building, ran... | [
42370
] | Train |
22,898 | 24 | Title: Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Abstract: Adversarial robustness poses a critical challenge in the deployment of deep learning models for real-world applications. Traditional approaches to adversarial training and supervised detection rely on prior knowledge of... | [] | Test |
22,899 | 30 | Title: Amplifying Limitations, Harms and Risks of Large Language Models
Abstract: We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of science-fic... | [
26578,
38338,
44787,
33220
] | Train |
22,900 | 13 | Title: MCTS guided Genetic Algorithm for optimization of neural network weights
Abstract: In this research, we investigate the possibility of applying a search strategy to genetic algorithms to explore the entire genetic tree structure. Several methods aid in performing tree searches; however, simpler algorithms such a... | [] | Test |
22,901 | 31 | Title: Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval
Abstract: Neural information retrieval often adopts a retrieve-and-rerank framework: a bi-encoder network first retrieves K (e.g., 100) candidates that are then re-ranked using a more powerful cross-encoder model to rank the better cand... | [
23896
] | Test |
22,902 | 30 | Title: Revisiting Sentence Union Generation as a Testbed for Text Consolidation
Abstract: Tasks involving text generation based on multiple input texts, such as multi-document summarization, long-form question answering and contemporary dialogue applications, challenge models for their ability to properly consolidate p... | [
33220
] | Train |
22,903 | 10 | Title: Towards the Linear Algebra Based Taxonomy of XAI Explanations
Abstract: This paper proposes an alternative approach to the basic taxonomy of explanations produced by explainable artificial intelligence techniques. Methods of Explainable Artificial Intelligence (XAI) were developed to answer the question why a ce... | [] | Train |
22,904 | 30 | Title: A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information
Abstract: Existing question answering methods often assume that the input content (e.g., documents or videos) is always accessible to solve the task. Alternatively, memory networks were in... | [] | Train |
22,905 | 28 | Title: Spatial Bandwidth Asymptotic Analysis for 3D Large-Scale Antenna Array Communications
Abstract: In this paper, we study the spatial bandwidth for line-of-sight (LOS) channels with linear large-scale antenna arrays (LSAAs) in 3D space. We provide approximations to the spatial bandwidth at the center of the receiv... | [] | Validation |
22,906 | 36 | Title: A Multi-Modal Network Equilibrium Model with Interacting Mobility Service Providers'Strategies
Abstract: A Mathematical Program with Equilibrium Constraints (MPEC) is formulated to capture the relationships between multiple Mobility Service Providers (MSPs) and the users of a multi-modal transport network. The n... | [] | Validation |
22,907 | 38 | Title: The W3C Data Catalog Vocabulary, Version 2: Rationale, Design Principles, and Uptake
Abstract: DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. Since its first release in 2014 as a W3C Recommendation, DCAT has seen a wide adoption across communities an... | [
15079
] | Test |
22,908 | 23 | Title: Can Metamorphic Relations be Automatically Discovered?
Abstract: Metamorphic testing alleviates the test oracle problem by defining oracles based on relations (i.e., metamorphic relations) that govern multiple related inputs and their expected outputs. However, designing MRs requires domain-specific knowledge, w... | [] | Train |
22,909 | 10 | Title: Explainable Multi-Agent Reinforcement Learning for Temporal Queries
Abstract: As multi-agent reinforcement learning (MARL) systems are increasingly deployed throughout society, it is imperative yet challenging for users to understand the emergent behaviors of MARL agents in complex environments. This work presen... | [] | Train |
22,910 | 16 | Title: Diversity-Aware Meta Visual Prompting
Abstract: We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient and effective prompting method for transferring pre-trained models to downstream tasks with frozen backbone. A challenging issue in visual prompting is that image datasets sometimes have a larg... | [
44873,
10263,
1151
] | Train |
22,911 | 15 | Title: PaReNTT: Low-Latency Parallel Residue Number System and NTT-Based Long Polynomial Modular Multiplication for Homomorphic Encryption
Abstract: High-speed long polynomial multiplication is important for applications in homomorphic encryption (HE) and lattice-based cryptosystems. This paper addresses low-latency ha... | [
32598
] | Validation |
22,912 | 16 | Title: Leveraging Model Fusion for Improved License Plate Recognition
Abstract: License Plate Recognition (LPR) plays a critical role in various applications, such as toll collection, parking management, and traffic law enforcement. Although LPR has witnessed significant advancements through the development of deep lea... | [
26016,
33411,
11903
] | Train |
22,913 | 27 | Title: RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
Abstract: The ability to leverage heterogeneous robotic experience from different robots and tasks to quickly master novel skills and embodiments has the potential to transform robot learning. Inspired by recent advances in foundation models for... | [
23968,
31308,
16927
] | Train |
22,914 | 16 | Title: Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection
Abstract: This paper presents a new method to describe spatio-temporal relations between objects and hands, to recognize both interactions and activities within video demonstrations of ... | [] | Train |
22,915 | 23 | Title: ENCOVIZ: An open-source, secure and multi-role energy consumption visualisation platform
Abstract: The need for a more energy efficient future is now more evident than ever and has led to the continuous growth of sectors with greater potential for energy savings, such as smart buildings, energy consumption meter... | [] | Train |
22,916 | 3 | Title: The Impact of Large Language Multi-Modal Models on the Future of Job Market
Abstract: The rapid advancements in artificial intelligence, particularly in large language multi-modal models like GPT-4, have raised concerns about the potential displacement of human workers in various industries. This position paper ... | [] | Test |
22,917 | 24 | Title: A Meta-learning based Generalizable Indoor Localization Model using Channel State Information
Abstract: Indoor localization has gained significant attention in recent years due to its various applications in smart homes, industrial automation, and healthcare, especially since more people rely on their wireless d... | [] | Train |
22,918 | 2 | Title: An Overview of Recent Developments in Big Boolean Equations
Abstract: Methods of solving big Boolean equations can be broadly classified as algebraic, tabular, numerical and map methods. The most prominent among these classes are the algebraic and map methods. This paper surveys and compares these two types of m... | [] | Test |
22,919 | 5 | Title: Lessons from HotStuff
Abstract: This article will take you on a journey to the core of blockchains, their Byzantine consensus engine, where HotStuff emerged as a new algorithmic foundation for the classical Byzantine generals consensus problem. The first part of the article underscores the theoretical advances H... | [
17477
] | Train |
22,920 | 23 | Title: Analyzing the Effects of CI/CD on Open Source Repositories in GitHub and GitLab
Abstract: Numerous articles emphasize the benefits of implementing Continuous Integration and Delivery (CI/CD) pipelines in software development. These pipelines are expected to improve a project’s reputation and decrease the number ... | [] | Train |
22,921 | 16 | Title: A Geometric Perspective on Diffusion Models
Abstract: Recent years have witnessed significant progress in developing efficient training and fast sampling approaches for diffusion models. A recent remarkable advancement is the use of stochastic differential equations (SDEs) to describe data perturbation and gener... | [
21152,
17826,
422,
23563,
8308,
44062
] | Train |
22,922 | 24 | Title: State Regularized Policy Optimization on Data with Dynamics Shift
Abstract: In many real-world scenarios, Reinforcement Learning (RL) algorithms are trained on data with dynamics shift, i.e., with different underlying environment dynamics. A majority of current methods address such issue by training context enco... | [] | Test |
22,923 | 16 | Title: SR-R2KAC: Improving Single Image Defocus Deblurring
Abstract: We propose an efficient deep learning method for single image defocus deblurring (SIDD) by further exploring inverse kernel properties. Although the current inverse kernel method, i.e., kernel-sharing parallel atrous convolution (KPAC), can address sp... | [] | Train |
22,924 | 30 | Title: Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
Abstract: Discourse processing suffers from data sparsity, especially for dialogues. As a result, we explore approaches to infer latent discourse structures for dialogues, based on attention matrices from Pre-trained Lang... | [] | Train |
22,925 | 16 | Title: E3CM: Epipolar-Constrained Cascade Correspondence Matching
Abstract: Accurate and robust correspondence matching is of utmost importance for various 3D computer vision tasks. However, traditional explicit programming-based methods often struggle to handle challenging scenarios, and deep learning-based methods re... | [] | Train |
22,926 | 30 | Title: Planning with Logical Graph-based Language Model for Instruction Generation
Abstract: Despite the superior performance of large language models to generate natural language texts, it is hard to generate texts with correct logic according to a given task, due to the difficulties for neural models to capture impli... | [] | Validation |
22,927 | 16 | Title: Tracking Through Containers and Occluders in the Wild
Abstract: Tracking objects with persistence in cluttered and dynamic environments remains a difficult challenge for computer vision systems. In this paper, we introduce TCOW, a new benchmark and model for visual tracking through heavy occlusion and containmen... | [] | Test |
22,928 | 16 | Title: Domain Generalization for Mammographic Image Analysis with Contrastive Learning
Abstract: The deep learning technique has been shown to be effectively addressed several image analysis tasks in the computer-aided diagnosis scheme for mammography. The training of an efficacious deep learning model requires large d... | [] | Train |
22,929 | 6 | Title: Unveiling the Impact of Cognitive Distraction on Cyclists Psycho-behavioral Responses in an Immersive Virtual Environment
Abstract: The National Highway Traffic Safety Administration reported that the number of bicyclist fatalities has increased by more than 35% since 2010. One of the main reasons associated wit... | [] | Train |
22,930 | 30 | Title: PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts
Abstract: The meanings of words and phrases depend not only on where they are used (contexts) but also on who use them (writers). Pretrained language models (PLMs) are powerful tools for capturing... | [] | Train |
22,931 | 28 | Title: Cache-Aided Communications in MISO Networks with Dynamic User Behavior: A Universal Solution
Abstract: A practical barrier to the implementation of cache-aided networks is dynamic and unpredictable user behavior. In dynamic setups, users can freely depart and enter the network at any moment. The shared caching c... | [
13454
] | Validation |
22,932 | 36 | Title: Learning to Manipulate a Commitment Optimizer
Abstract: It is shown in recent studies that in a Stackelberg game the follower can manipulate the leader by deviating from their true best-response behavior. Such manipulations are computationally tractable and can be highly beneficial for the follower. Meanwhile, t... | [] | Train |
22,933 | 34 | Title: Approximating submodular k-partition via principal partition sequence
Abstract: In submodular $k$-partition, the input is a non-negative submodular function $f$ defined over a finite ground set $V$ (given by an evaluation oracle) along with a positive integer $k$ and the goal is to find a partition of the ground... | [] | Train |
22,934 | 16 | Title: Explanation of Face Recognition via Saliency Maps
Abstract: Despite the significant progress in face recognition in the past years, they are often treated as"black boxes"and have been criticized for lacking explainability. It becomes increasingly important to understand the characteristics and decisions of deep ... | [] | Train |
22,935 | 30 | Title: Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning
Abstract: ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fine-tuned by both supervised learning... | [
35785,
3050,
22476,
497,
38235,
25367,
42586,
44603,
22334
] | Test |
22,936 | 30 | Title: Are LLMs All You Need for Task-Oriented Dialogue?
Abstract: Instructions-tuned Large Language Models (LLMs) gained recently huge popularity thanks to their ability to interact with users through conversation. In this work we aim to evaluate their ability to complete multi-turn tasks and interact with external da... | [
6048,
40192,
23681,
18308,
13700,
12426,
21966
] | Train |
22,937 | 26 | Title: User's Reaction Patterns in Online Social Network Communities
Abstract: Several one-fits-all intervention policies were introduced by the Online Social Networks (OSNs) platforms to mitigate potential harms. Nevertheless, some studies showed the limited effectiveness of these approaches. An alternative to this wo... | [] | Train |
22,938 | 30 | Title: Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization
Abstract: Existing factual consistency evaluation approaches for text summarization provide binary predictions and limited insights into the weakness of summarization systems. Therefore, we propose the task of fine-grained inconsi... | [
22781
] | Train |
22,939 | 29 | Title: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory Systems
Abstract: Multi-tiered large memory systems call for rethinking of memory profiling and migration because of the unique problems unseen in the traditional memory systems with smaller capacity and fewer tiers. We develop MTM, an appli... | [] | Test |
22,940 | 16 | Title: Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality Assessment
Abstract: Evaluating the quality of facial images is essential for operating face recognition systems with sufficient accuracy. The recent advances in face quality standardisation (ISO/IEC WD 29794-5) ... | [] | Train |
22,941 | 4 | Title: Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack
Abstract: LiDAR (Light Detection And Ranging) is an indispensable sensor for precise long- and wide-range 3D sensing, which directly benefited the recent rapid deployment of autonomous driving (AD). ... | [] | Test |
22,942 | 23 | Title: Modelling Concurrency Bugs Using Machine Learning
Abstract: Artificial Intelligence has gained a lot of traction in the recent years, with machine learning notably starting to see more applications across a varied range of fields. One specific machine learning application that is of interest to us is that of sof... | [] | Test |
22,943 | 16 | Title: Coaching a Teachable Student
Abstract: We propose a novel knowledge distillation framework for effectively teaching a sensorimotor student agent to drive from the supervision of a privileged teacher agent. Current distillation for sensorimotor agents methods tend to result in suboptimal learned driving behavior ... | [
37832,
13594,
32157
] | Train |
22,944 | 3 | Title: Redrawing Attendance Boundaries to Promote Racial and Ethnic Diversity in Elementary Schools
Abstract: Most U.S. school districts draw “attendance boundaries” to define catchment areas that assign students to schools near their homes, often recapitulating neighborhood demographic segregation in schools. Focusing... | [
45373,
2182
] | Validation |
22,945 | 16 | Title: Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows
Abstract: Human beings always engage in a vast range of activities and tasks that demonstrate their ability to adapt to different scenarios. Any human activity can be represented as a temporal sequence of actions p... | [] | Test |
22,946 | 5 | Title: Taxonomy of AISecOps Threat Modeling for Cloud Based Medical Chatbots
Abstract: Artificial Intelligence (AI) is playing a vital role in all aspects of technology including cyber security. Application of Conversational AI like the chatbots are also becoming very popular in the medical field to provide timely and ... | [] | Train |
22,947 | 16 | Title: YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices
Abstract: In the realm of Tiny AI, we introduce ``You Only Look at Interested Cells"(YOLIC), an efficient method for object localization and classification on edge devices. Through seamlessly blending the strengths of semantic ... | [] | Test |
22,948 | 10 | Title: Leveraging Skill-to-Skill Supervision for Knowledge Tracing
Abstract: Knowledge tracing plays a pivotal role in intelligent tutoring systems. This task aims to predict the probability of students answering correctly to specific questions. To do so, knowledge tracing systems should trace the knowledge state of th... | [] | Test |
22,949 | 30 | Title: CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
Abstract: Utilizing language models (LMs) without internal access is becoming an attractive paradigm in the field of NLP as many cutting-edge LMs are released through APIs and boast a massive scale.The de-facto method in this type o... | [] | Train |
22,950 | 3 | Title: The Glamorisation of Unpaid Labour: AI and its Influencers
Abstract: To harness the true potential of Artificial Intelligence (AI) for societal betterment, we need to move away from prioritising corporate interests which exploit Global South workers in the digital age. The unpaid labour and societal harms which ... | [] | Train |
22,951 | 15 | Title: MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation
Abstract: Deep learning recommendation systems serve personalized content under diverse tail-latency targets and input-query loads. In order to do so, state-of-the-art recommendation models rely on terabyte-scale embedding tables to learn us... | [
27804
] | Test |
22,952 | 18 | Title: A Full-Stack View of Probabilistic Computing With p-Bits: Devices, Architectures, and Algorithms
Abstract: The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor defined by Moore’s law continues, albeit at a slower pace. Meanwhile, computing demands and energy consumption re... | [
32707,
24884,
12085,
36601,
42525
] | Train |
22,953 | 24 | Title: Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset
Abstract: Objective: Peritoneal Dialysis (PD) is one of the most widely used life-supporting therapies for patients with End-Stage Renal... | [] | Train |
22,954 | 25 | Title: Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers
Abstract: We propose a shift towards end-to-end learning in bird sound monitoring by combining self-supervised (SSL) and deep active learning (DAL). Leveraging transformer models, we aim to bypass traditional spectrogram conversions, ena... | [
11929,
18558
] | Validation |
22,955 | 16 | Title: VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection
Abstract: In autonomous driving, Vehicle-Infrastructure Cooperative 3D Object Detection (VIC3D) makes use of multi-view cameras from both vehicles and traffic infrastructure, providing a global vantage point with ric... | [
7416,
4462,
44574
] | Train |
22,956 | 24 | Title: Internet of Things Fault Detection and Classification via Multitask Learning
Abstract: This paper presents a comprehensive investigation into developing a fault detection and classification system for real-world IIoT applications. The study addresses challenges in data collection, annotation, algorithm developme... | [] | Train |
22,957 | 10 | Title: Neural Networks from Biological to Artificial and Vice Versa
Abstract: In this paper, we examine how deep learning can be utilized to investigate neural health and the difficulties in interpreting neurological analyses within algorithmic models. The key contribution of this paper is the investigation of the impa... | [] | Test |
22,958 | 16 | Title: Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offline Handwritten Mathematical Expression Recognition
Abstract: nan | [] | Train |
22,959 | 30 | Title: Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation
Abstract: State-of-the-art neural text generation models are typically trained to maximize the likelihood of each token in the ground-truth sequence conditioned on the previous target tokens. However, during inference, the model needs to m... | [] | Train |
22,960 | 24 | Title: G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Abstract: Node classification is the task of predicting the labels of unlabeled nodes in a graph. State-of-the-art methods based on graph neural networks achieve excellent performance when all labels are available
during training. But... | [] | Train |
22,961 | 24 | Title: Geometric instability of graph neural networks on large graphs
Abstract: We analyse the geometric instability of embeddings produced by graph neural networks (GNNs). Existing methods are only applicable for small graphs and lack context in the graph domain. We propose a simple, efficient and graph-native Graph G... | [] | Train |
22,962 | 24 | Title: Quantum-Inspired Machine Learning: a Survey
Abstract: Quantum-inspired Machine Learning (QiML) is a burgeoning field, receiving global attention from researchers for its potential to leverage principles of quantum mechanics within classical computational frameworks. However, current review literature often prese... | [] | Train |
22,963 | 1 | Title: Spatial Perceptual Quality Aware Adaptive Volumetric Video Streaming
Abstract: Volumetric video offers a highly immersive viewing experience, but poses challenges in ensuring quality of experience (QoE) due to its high bandwidth requirements. In this paper, we explore the effect of viewing distance introduced by... | [] | Test |
22,964 | 24 | Title: Towards Estimating Transferability using Hard Subsets
Abstract: As transfer learning techniques are increasingly used to transfer knowledge from the source model to the target task, it becomes important to quantify which source models are suitable for a given target task without performing computationally expens... | [] | Test |
22,965 | 24 | Title: PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
Abstract: Deep reinforcement learning (RL) has shown immense potential for learning to control systems through data alone. However, one challenge deep RL faces is that the full state of the system is often not obs... | [
23307,
33220
] | Train |
22,966 | 16 | Title: Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models
Abstract: As an effective way to alleviate the burden of data annotation, semi-supervised learning (SSL) provides an attractive solution due to its ability to leverage both labeled and unlabeled data to build a predictive model. W... | [] | Train |
22,967 | 16 | Title: PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks
Abstract: For problems in image processing and many other fields, a large class of effective neural networks has encoder-decoder-based architectures. Although these networks have made impressive performances, mathematical explanation... | [
25530,
3810
] | Train |
22,968 | 30 | Title: Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation
Abstract: Subword segmenters like BPE operate as a preprocessing step in neural machine translation and other (conditional) language models. They are applied to datasets before training, so translation or text generation ... | [] | Train |
22,969 | 30 | Title: Comparative Study of Pre-Trained BERT Models for Code-Mixed Hindi-English Data
Abstract: The term "Code Mixed" refers to the use of more than one language in the same text. This phenomenon is predominantly observed on social media platforms, with an increasing amount of adaptation as time goes on. It is critical... | [] | Validation |
22,970 | 3 | Title: Online search is more likely to lead students to validate true news than to refute false ones
Abstract: With the spread of high-speed Internet and portable smart devices, the way people access and consume information has drastically changed. However, this presents many challenges, including information overload,... | [
39680
] | Train |
22,971 | 16 | Title: S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens
Abstract: Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces. State-of-the-art FAS techniques predominantly rely on deep learning models but their cros... | [] | Test |
22,972 | 16 | Title: PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Abstract: Planar object tracking is a critical computer vision problem and has drawn increasing interest owing to its key roles in robotics, augmented reality, etc. Despite rapid progress, its further development, especially in the deep ... | [
26484,
39189
] | Test |
22,973 | 31 | Title: Causal Inference for Recommendation: Foundations, Methods and Applications
Abstract: Recommender systems are important and powerful tools for various personalized services. Traditionally, these systems use data mining and machine learning techniques to make recommendations based on correlations found in the data... | [
66
] | Train |
22,974 | 34 | Title: Feature Adaptation for Sparse Linear Regression
Abstract: Sparse linear regression is a central problem in high-dimensional statistics. We study the correlated random design setting, where the covariates are drawn from a multivariate Gaussian $N(0,\Sigma)$, and we seek an estimator with small excess risk. If the... | [
11158
] | Test |
22,975 | 24 | Title: TorchRL: A data-driven decision-making library for PyTorch
Abstract: Striking a balance between integration and modularity is crucial for a machine learning library to be versatile and user-friendly, especially in handling decision and control tasks that involve large development teams and complex, real-world da... | [
15526
] | Validation |
22,976 | 26 | Title: The Impact of Data Persistence Bias on Social Media Studies
Abstract: Social media studies often collect data retrospectively to analyze public opinion. Social media data may decay over time and such decay may prevent the collection of the complete dataset. As a result, the collected dataset may differ from the ... | [
23672,
8847
] | Train |
22,977 | 24 | Title: Pathologies of Predictive Diversity in Deep Ensembles
Abstract: Classical results establish that ensembles of small models benefit when predictive diversity is encouraged, through bagging, boosting, and similar. Here we demonstrate that this intuition does not carry over to ensembles of deep neural networks used... | [
26170
] | Validation |
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