node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
28,878 | 30 | Title: Active Retrieval Augmented Generation
Abstract: Despite the remarkable ability of large language models (LMs) to comprehend and generate language, they have a tendency to hallucinate and create factually inaccurate output. Augmenting LMs by retrieving information from external knowledge resources is one promisin... | [
45760,
33220,
13700,
397,
18221,
34637,
688,
2771,
34675,
27669,
32213,
22391,
38102,
889,
634
] | Validation |
28,879 | 23 | Title: Charliecloud's layer-free, Git-based container build cache
Abstract: A popular approach to deploying scientific applications in high performance computing (HPC) is Linux containers, which package an application and all its dependencies as a single unit. This image is built by interpreting instructions in a machi... | [] | Train |
28,880 | 24 | Title: Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
Abstract: Link prediction attempts to predict whether an unseen edge exists based on only a portion of edges of a graph. A flurry of methods have been introduced in recent years that attempt to make use of graph neural ne... | [
43973
] | Train |
28,881 | 8 | Title: Shaping Next-Generation RAN Topologies to Meet Future Traffic Demands: A Peak Throughput Study
Abstract: Millimeter-Wave (mm-Wave) Radio Access Networks (RANs) are a promising solution to tackle the overcrowding of the sub-6 GHz spectrum, offering wider and underutilized bands. However, they are characterized by... | [] | Test |
28,882 | 24 | Title: An Efficient Tester-Learner for Halfspaces
Abstract: We give the first efficient algorithm for learning halfspaces in the testable learning model recently defined by Rubinfeld and Vasilyan (2023). In this model, a learner certifies that the accuracy of its output hypothesis is near optimal whenever the training ... | [
9338,
708
] | Validation |
28,883 | 16 | Title: Indescribable Multi-Modal Spatial Evaluator
Abstract: Multi-modal image registration spatially aligns two images with different distributions. One of its major challenges is that images acquired from different imaging machines have different imaging distributions, making it difficult to focus only on the spatial... | [] | Train |
28,884 | 16 | Title: LBL: Logarithmic Barrier Loss Function for One-class Classification
Abstract: One-class classification (OCC) aims to train a classifier only with the target class data and attracts great attention for its strong applicability in real-world application. Despite a lot of advances have been made in OCC, it still la... | [] | Train |
28,885 | 16 | Title: Parts of Speech-Grounded Subspaces in Vision-Language Models
Abstract: Latent image representations arising from vision-language models have proved immensely useful for a variety of downstream tasks. However, their utility is limited by their entanglement with respect to different visual attributes. For instance... | [
44741,
20510
] | Train |
28,886 | 30 | Title: CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Abstract: Recent developments in large language models (LLMs) have been impressive. However, these models sometimes show inconsistencies and problematic behavior, such as hallucinating facts, generating flawed code, or creating offen... | [
7936,
40192,
18306,
19472,
27669,
22422,
39451,
34208,
37411,
29606,
9518,
29757,
38208,
15812,
15301,
31431,
44623,
38102,
39773,
12896,
26210,
41336,
37360,
34675,
1528,
1401,
634,
17789
] | Train |
28,887 | 34 | Title: A Compact DAG for Storing and Searching Maximal Common Subsequences
Abstract: Maximal Common Subsequences (MCSs) between two strings X and Y are subsequences of both X and Y that are maximal under inclusion. MCSs relax and generalize the well known and widely used concept of Longest Common Subsequences (LCSs), w... | [] | Train |
28,888 | 23 | Title: PrAIoritize: Learning to Prioritize Smart Contract Bugs and Vulnerabilities
Abstract: Smart contract vulnerabilities and bugs have become a key concern for software engineers, as they can lead to significant financial losses, reputational damage, and legal issues. Therefore, prioritizing bug fixing for smart con... | [
33029,
24006
] | Train |
28,889 | 10 | Title: Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
Abstract: With the widespread digitization of finance and the increasing popularity of cryptocurrencies, the sophistication of fraud schemes devised by cybercriminals is growing. Money laundering -- the movement of illicit funds to conce... | [] | Train |
28,890 | 3 | Title: A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
Abstract: In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to make talent-related decisions in a quantitative manner. Indeed, the recent development of Big Data a... | [
35808
] | Train |
28,891 | 24 | Title: Rank-adaptive spectral pruning of convolutional layers during training
Abstract: The computing cost and memory demand of deep learning pipelines have grown fast in recent years and thus a variety of pruning techniques have been developed to reduce model parameters. The majority of these techniques focus on reduc... | [] | Train |
28,892 | 30 | Title: Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement
Abstract: Emotion Recognition in Conversation (ERC) has attracted widespread attention in the natural language processing field due to its enormous potential for practical applications... | [
38505,
19636,
4119
] | Validation |
28,893 | 23 | Title: Automatically Classifying Kano Model Factors in App Reviews
Abstract: [Context and motivation] Requirements assessment by means of the Kano model is common practice. As suggested by the original authors, these assessments are done by interviewing stakeholders and asking them about the level of satisfaction if a ... | [] | Train |
28,894 | 26 | Title: Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach
Abstract: In the context of the global seafood industry, the Azores archipelago (Portugal) plays a pivotal role due to its vast maritime domain. This study employs complex network analysis techniques to investigate the dynamics of Azores fi... | [] | Train |
28,895 | 36 | Title: IRS: An Incentive-compatible Reward Scheme for Algorand
Abstract: Founded in 2017, Algorand is one of the world's first carbon-negative, public blockchains inspired by proof of stake. Algorand uses a Byzantine agreement protocol to add new blocks to the blockchain. The protocol can tolerate malicious users as lo... | [] | Validation |
28,896 | 3 | Title: An Overview of Catastrophic AI Risks
Abstract: Rapid advancements in artificial intelligence (AI) have sparked growing concerns among experts, policymakers, and world leaders regarding the potential for increasingly advanced AI systems to pose catastrophic risks. Although numerous risks have been detailed separa... | [
12384,
10660,
13510,
32550,
4744,
28905,
41103,
37906,
20531,
33907,
44697,
20794,
33439
] | Train |
28,897 | 4 | Title: Reinforcing Security and Usability of Crypto-Wallet with Post-Quantum Cryptography and Zero-Knowledge Proof
Abstract: Crypto-wallets or digital asset wallets are a crucial aspect of managing cryptocurrencies and other digital assets such as NFTs. However, these wallets are not immune to security threats, particu... | [
41120,
41594
] | Train |
28,898 | 24 | Title: Using Automated Algorithm Configuration for Parameter Control
Abstract: Dynamic Algorithm Configuration (DAC) tackles the question of how to automatically learn policies to control parameters of algorithms in a data-driven fashion. This question has received considerable attention from the evolutionary community... | [
31289
] | Train |
28,899 | 6 | Title: 52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes Over Time
Abstract: The COVID-19 pandemic has prompted countries around the world to introduce smartphone apps to support disease control efforts. Their purposes range from digital contact tracing to quarantine enforcement to vaccination pass... | [] | Validation |
28,900 | 31 | Title: User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations
Abstract: Modern recommender systems utilize users' historical behaviors to generate personalized recommendations. However, these systems often lack user controllability, leading to diminished user satisfaction and tru... | [
23664,
10069
] | Train |
28,901 | 4 | Title: CVE-driven Attack Technique Prediction with Semantic Information Extraction and a Domain-specific Language Model
Abstract: This paper addresses a critical challenge in cybersecurity: the gap between vulnerability information represented by Common Vulnerabilities and Exposures (CVEs) and the resulting cyberattack... | [] | Train |
28,902 | 36 | Title: On Optimal Tradeoffs between EFX and Nash Welfare
Abstract: A major problem in fair division is how to allocate a set of indivisible resources among agents fairly and efficiently. We give optimal tradeoffs between fairness and efficiency, with respect to well-studied measures of fairness and efficiency -- envy f... | [
24632,
24221
] | Train |
28,903 | 30 | Title: CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization
Abstract: Cross-lingual summarization (CLS) has attracted increasing interest in recent years due to the availability of large-scale web-mined datasets and the advancements of multilingual language models. However, given the rareness of ... | [
23898,
23580,
6173,
11262
] | Test |
28,904 | 31 | Title: PIE: Personalized Interest Exploration for Large-Scale Recommender Systems
Abstract: Recommender systems are increasingly successful in recommending personalized content to users. However, these systems often capitalize on popular content. There is also a continuous evolution of user interests that need to be ca... | [] | Train |
28,905 | 24 | Title: Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Abstract: Artificial agents have traditionally been trained to maximize reward, which may incentivize power-seeking and deception, analogous to how next-token prediction in language models (LM... | [
25734,
23559,
14219,
13073,
13082,
32410,
19747,
35117,
20531,
9012,
17980,
8129,
13510,
5071,
35927,
28896,
9569,
39273,
8938,
44537,
634,
1151
] | Train |
28,906 | 28 | Title: Optimizing Reconfigurable Intelligent Surfaces for Short Transmissions: How Detailed Configurations can be Afforded?
Abstract: In this paper, we examine how to minimize the total energy consumption of a user equipment (UE) when it transmits a finite-sized data payload of a given length. The receiving base statio... | [
17836
] | Test |
28,907 | 31 | Title: Web of Things and Trends in Agriculture: A Systematic Literature Review
Abstract: In the past few years, the Web of Things (WOT) became a beneficial game-changing technology within the Agriculture domain as it introduces innovative and promising solutions to the Internet of Things (IoT) agricultural applications... | [] | Train |
28,908 | 23 | Title: Measuring Software Testability via Automatically Generated Test Cases
Abstract: Estimating software testability can crucially assist software managers to optimize test budgets and software quality. In this paper, we propose a new approach that radically differs from the traditional approach of pursuing testabili... | [] | Test |
28,909 | 24 | Title: With Shared Microexponents, A Little Shifting Goes a Long Way
Abstract: This paper introduces Block Data Representations (BDR), a framework for exploring and evaluating a wide spectrum of narrow-precision formats for deep learning. It enables comparison of popular quantization standards, and through BDR, new for... | [
36887
] | Train |
28,910 | 26 | Title: Identifying vital nodes through augmented random walks on higher-order networks
Abstract: Empirical networks possess considerable heterogeneity of node connections, resulting in a small portion of nodes playing crucial roles in network structure and function. Yet, how to characterize nodes' influence and identif... | [
4389,
30470
] | Test |
28,911 | 30 | Title: Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction
Abstract: Multimodal stock trading volume movement prediction with stock-related news is one of the fundamental problems in the financial area. Existing multimodal works that train models from scratch face the problem of lac... | [
10624,
31904
] | Train |
28,912 | 16 | Title: AvatarReX: Real-time Expressive Full-body Avatars
Abstract: We present AvatarReX, a new method for learning NeRF-based full-body avatars from video data. The learnt avatar not only provides expressive control of the body, hands and the face together, but also supports real-time animation and rendering. To this e... | [
3680,
9860,
2382,
28655,
6739,
6166,
7927,
35991
] | Train |
28,913 | 2 | Title: Linear Arboreal Categories
Abstract: , | [] | Validation |
28,914 | 15 | Title: Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation
Abstract: Modern DNN workloads increasingly rely on activation functions consisting of computationally complex operations. This poses a challenge to current accelerators optimized for convolutions and matrix-matrix multiplicat... | [] | Validation |
28,915 | 30 | Title: Envisioning the Next-Gen Document Reader
Abstract: People read digital documents on a daily basis to share, exchange, and understand information in electronic settings. However, current document readers create a static, isolated reading experience, which does not support users' goals of gaining more knowledge an... | [
28151
] | Validation |
28,916 | 16 | Title: Multimodal Object Detection in Remote Sensing
Abstract: Object detection in remote sensing is a crucial computer vision task that has seen significant advancements with deep learning techniques. However, most existing works in this area focus on the use of generic object detection and do not leverage the potenti... | [] | Train |
28,917 | 24 | Title: The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Abstract: Multivariate time series data comprises various channels of variables. The multivariate forecasting models need to capture the relationship between the channels to accurately pred... | [
32835,
39558,
1067,
25970,
37949,
11550
] | Train |
28,918 | 4 | Title: Encryption by using base-n systems with many characters
Abstract: It is possible to interpret text as numbers (and vice versa) if one interpret letters and other characters as digits and assume that they have an inherent immutable ordering. This is demonstrated by the conventional digit set of the hexadecimal sy... | [] | Train |
28,919 | 2 | Title: Termination of Graph Transformation Systems using Weighted Subgraph Counting
Abstract: We introduce a termination method for the algebraic graph transformation framework PBPO+, in which we weigh objects by summing a class of weighted morphisms targeting them. The method is well-defined in rm-adhesive quasitopose... | [
22888,
23105
] | Validation |
28,920 | 30 | Title: Go Beyond The Obvious: Probing the gap of INFORMAL reasoning ability between Humanity and LLMs by Detective Reasoning Puzzle Benchmark
Abstract: Informal reasoning ability is the ability to reason based on common sense, experience, and intuition.Humans use informal reasoning every day to extract the most influen... | [
7936,
14592,
33220,
1575,
7628,
22444,
9907,
22547,
9403
] | Train |
28,921 | 16 | Title: Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care
Abstract: Recent advancements in artificial intelligence (AI) have facilitated its widespread adoption in primary medical services, addressing the demand-supply imbalance in healthcare. Vision Tra... | [
23147,
5549
] | Train |
28,922 | 3 | Title: Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust
Abstract: This paper presents the results of an extensive study investigating the opinions on Artificial Intelligence (AI) of a sample of 4,006 European citizens from eight distinct countries (France, Germany, Italy, Netherlands, Pol... | [] | Train |
28,923 | 30 | Title: Large Language Models Enable Few-Shot Clustering
Abstract: Unlike traditional unsupervised clustering, semi-supervised clustering allows users to provide meaningful structure to the data, which helps the clustering algorithm to match the user's intent. Existing approaches to semi-supervised clustering require a ... | [
38208,
33603,
16556
] | Train |
28,924 | 30 | Title: Stylometric Detection of AI-Generated Text in Twitter Timelines
Abstract: Recent advancements in pre-trained language models have enabled convenient methods for generating human-like text at a large scale. Though these generation capabilities hold great potential for breakthrough applications, it can also be a t... | [
19968,
45347,
17542,
1260,
25075,
20756,
12888,
26427,
8734
] | Train |
28,925 | 34 | Title: FPT Approximations for Capacitated/Fair Clustering with Outliers
Abstract: Clustering problems such as $k$-Median, and $k$-Means, are motivated from applications such as location planning, unsupervised learning among others. In such applications, it is important to find the clustering of points that is not ``ske... | [
11261
] | Train |
28,926 | 30 | Title: Investigating Strategies for Clause Recommendation
Abstract: Clause recommendation is the problem of recommending a clause to a legal contract, given the context of the contract in question and the clause type to which the clause should belong. With not much prior work being done toward the generation of legal c... | [] | Train |
28,927 | 26 | Title: Twotier - A Layered Analysis of Backbone Members in a Moderate Sized Community Sports Organization
Abstract: Backbone members are recognized as essential parts of an organization, yet their role and mechanisms of functioning in networks are not fully understood. In this paper, we propose a new framework called T... | [] | Train |
28,928 | 23 | Title: Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions
Abstract: There is abundant observational data in the software engineering domain, whereas running large-scale controlled experiments is often practically impossible. Thus, most empirical st... | [] | Validation |
28,929 | 24 | Title: Delay-Aware Hierarchical Federated Learning
Abstract: Federated learning has gained popularity as a means of training models distributed across the wireless edge. The paper introduces delay-aware hierarchical federated learning (DFL) to improve the efficiency of distributed machine learning (ML) model training b... | [
17222
] | Train |
28,930 | 5 | Title: Challenges and Opportunities for RISC-V Architectures towards Genomics-based Workloads
Abstract: The use of large-scale supercomputing architectures is a hard requirement for scientific computing Big-Data applications. An example is genomics analytics, where millions of data transformations and tests per patient... | [] | Validation |
28,931 | 16 | Title: Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
Abstract: Hand trajectory forecasting from egocentric views is crucial for enabling a prompt understanding of human intentions when interacting with AR/VR systems. However, existing methods handle this problem in a 2D image s... | [] | Train |
28,932 | 24 | Title: A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Abstract: Diffusion models have become a new SOTA generative modeling method in various fields, for which there are multiple survey works that provide an overall survey. With the number of articles on diffusion models... | [
27232,
1603,
45252,
24549,
26825,
1899,
42032,
8308,
17941,
25368,
22809,
3066,
37211
] | Test |
28,933 | 28 | Title: Beamforming Design for IRS-and-UAV-aided Two-way Amplify-and-Forward Relay Networks
Abstract: As a promising solution to improve communication quality, unmanned aerial vehicle (UAV) has been widely integrated into wireless networks. In this paper, for the sake of enhancing the message exchange rate between User1... | [
42612
] | Validation |
28,934 | 27 | Title: Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation
Abstract: The field of robotic Flexible Endoscopes (FEs) has progressed significantly, offering a promising solution to reduce patient discomfort. However, the limited autonomy of most robotic FEs results in non-intuitive ... | [
21129,
13786,
29750
] | Validation |
28,935 | 27 | Title: Communicating Complex Decisions in Robot-Assisted Therapy
Abstract: Socially Assistive Robots (SARs) have shown promising potential in therapeutic scenarios as decision-making instructors or motivational companions. In human-human therapy, experts often communicate the thought process behind the decisions they m... | [] | Validation |
28,936 | 16 | Title: CARLA-BSP: a simulated dataset with pedestrians
Abstract: We present a sample dataset featuring pedestrians generated using the ARCANE framework, a new framework for generating datasets in CARLA (0.9.13). We provide use cases for pedestrian detection, autoencoding, pose estimation, and pose lifting. We also show... | [] | Validation |
28,937 | 27 | Title: LONER: LiDAR Only Neural Representations for Real-Time SLAM
Abstract: This paper proposes LONER, the first real-time LiDAR SLAM algorithm that uses a neural implicit scene representation. Existing implicit mapping methods for LiDAR show promising results in large-scale reconstruction, but either require groundtr... | [
34504,
2223
] | Test |
28,938 | 25 | Title: Low-Complexity Audio Embedding Extractors
Abstract: Solving tasks such as speaker recognition, music classification, or semantic audio event tagging with deep learning models typically requires computationally demanding networks. General-purpose audio embeddings (GPAEs) are dense representations of audio signals... | [] | Train |
28,939 | 27 | Title: Safety-Assured Speculative Planning with Adaptive Prediction
Abstract: Recently significant progress has been made in vehicle prediction and planning algorithms for autonomous driving. However, it remains quite challenging for an autonomous vehicle to plan its trajectory in complex scenarios when it is difficult... | [
45410,
22403,
34237
] | Train |
28,940 | 10 | Title: Sequential Recommendation with Probabilistic Logical Reasoning
Abstract: Deep learning and symbolic learning are two frequently employed methods in Sequential Recommendation (SR). Recent neural-symbolic SR models demonstrate their potential to enable SR to be equipped with concurrent perception and cognition cap... | [] | Train |
28,941 | 24 | Title: SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
Abstract: The well-established practice of time series analysis involves estimating deterministic, non-stationary trend and seasonality components followed by learning the residual stochastic, stationary components. Recently, i... | [] | Validation |
28,942 | 34 | Title: Dynamic algorithms for k-center on graphs
Abstract: In this paper we give the first efficient algorithms for the $k$-center problem on dynamic graphs undergoing edge updates. In this problem, the goal is to partition the input into $k$ sets by choosing $k$ centers such that the maximum distance from any data poi... | [
31858,
32934,
29839
] | Test |
28,943 | 34 | Title: Faster Isomorphism for p-Groups of Class 2 and Exponent p
Abstract: The group isomorphism problem determines whether two groups, given by their Cayley tables, are isomorphic. For groups with order $n$, an algorithm with $n^{(\log n + O(1))}$ running time, attributed to Tarjan, was proposed in the 1970s [Mil78]. ... | [
26616,
43358
] | Train |
28,944 | 27 | Title: Soft Cap for Eversion Robots
Abstract: Growing robots based on the eversion principle are known for their ability to extend rapidly, from within, along their longitudinal axis, and, in doing so, reach deep into hitherto inaccessible, remote spaces. Despite many advantages, eversion robots also present significan... | [
4888
] | Validation |
28,945 | 30 | Title: Parallel Tree Kernel Computation
Abstract: Tree kernels are fundamental tools that have been leveraged in many applications, particularly those based on machine learning for Natural Language Processing tasks. In this paper, we devise a parallel implementation of the sequential algorithm for the computation of so... | [
7378
] | Train |
28,946 | 24 | Title: DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
Abstract: The application of machine learning (ML) models to the analysis of optimization algorithms requires the representation of optimization problems using numerical features. These features can be used as i... | [] | Train |
28,947 | 13 | Title: pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Abstract: Recent years have seen a rise in the popularity of quality diversity (QD) optimization, a branch of optimization that seeks to find a collection of diverse, high-performing solutions to a given problem. To grow further, we believe t... | [
6816,
15144,
27313,
42292,
8023
] | Train |
28,948 | 24 | Title: Fast and Effective GNN Training with Linearized Random Spanning Trees
Abstract: We present a new effective and scalable framework for training GNNs in supervised node classification tasks, given graph-structured data. Our approach increasingly refines the weight update operations on a sequence of path graphs obt... | [
39331,
42942,
28263
] | Train |
28,949 | 24 | Title: Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
Abstract: We propose A-Crab (Actor-Critic Regularized by Average Bellman error), a new algorithm for offline reinforcement learning (RL) in complex environments with insufficient data coverage. Our algorithm combines the mar... | [
30074,
31508,
33373
] | Train |
28,950 | 4 | Title: Certified Robustness of Learning-based Static Malware Detectors
Abstract: Certified defenses are a recent development in adversarial machine learning (ML), which aim to rigorously guarantee the robustness of ML models to adversarial perturbations. A large body of work studies certified defenses in computer visio... | [] | Train |
28,951 | 34 | Title: A linear time algorithm for linearizing quadratic and higher-order shortest path problems
Abstract: An instance of the NP-hard Quadratic Shortest Path Problem (QSPP) is called linearizable iff it is equivalent to an instance of the classic Shortest Path Problem (SPP) on the same input digraph. The linearization ... | [] | Validation |
28,952 | 24 | Title: Large-scale statistical forecasting models reassess the unpredictability of chaotic systems
Abstract: Chaos and unpredictability are often considered synonymous, yet recent advances in statistical forecasting suggest that large machine learning models gain unexpected insight from extended observation of complex ... | [
24752,
2492,
24215
] | Train |
28,953 | 28 | Title: A Decentralized Policy for Minimization of Age of Incorrect Information in Slotted ALOHA Systems
Abstract: —The Age of Incorrect Information (AoII) is a metric that can combine the freshness of the information available to a gateway in an Internet of Things (IoT) network with the accuracy of that information. As... | [
44454
] | Validation |
28,954 | 36 | Title: Constraint Programming and constructive heuristics for parallel machine scheduling with sequence-dependent setups and common servers
Abstract: nan | [] | Test |
28,955 | 24 | Title: DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk
Abstract: Graph representation plays an important role in the field of financial risk control, where the relationship among users can be constructed in a graph manner. In practical scenarios, the relationships between nodes ... | [] | Train |
28,956 | 25 | Title: Graph-based Polyphonic Multitrack Music Generation
Abstract: Graphs can be leveraged to model polyphonic multitrack symbolic music, where notes, chords and entire sections may be linked at different levels of the musical hierarchy by tonal and rhythmic relationships. Nonetheless, there is a lack of works that co... | [] | Test |
28,957 | 27 | Title: DDPEN: Trajectory Optimisation With Sub Goal Generation Model
Abstract: —Differential dynamic programming (DDP) is a widely used and powerful trajectory optimization technique, however, due to its internal structure, it is not exempt from local minima. In this paper, we present Differential Dynamic Programming w... | [] | Train |
28,958 | 16 | Title: Human-Object Interaction Prediction in Videos through Gaze Following
Abstract: nan | [] | Validation |
28,959 | 30 | Title: KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
Abstract: The political stance prediction for news articles has been widely studied to mitigate the echo chamber effect – people fall into their thoughts and reinforce their pre-existing beliefs. The previous works for... | [
2020,
42773
] | Train |
28,960 | 24 | Title: Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory
Abstract: Mining data streams is one of the main studies in machine learning area due to its application in many knowledge areas. One of the major challenges on mining data streams is concept drift, which requires the learner to... | [] | Test |
28,961 | 31 | Title: M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation
Abstract: Cross-domain recommendation (CDR) is an effective way to alleviate the data sparsity problem. Content-based CDR is one of the most promising branches since most kinds of products can be describe... | [] | Train |
28,962 | 30 | Title: Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
Abstract: We study whether multiple large language models (LLMs) can autonomously improve each other in a negotiation game by playing, reflecting, and criticizing. We are interested in this question because if LLMs were ... | [
770,
37411,
33220,
17417,
33065,
35915,
16556,
22578,
29396,
45909,
1528,
8892,
17789
] | Train |
28,963 | 30 | Title: Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Abstract: Large language models (LLMs) specializing in natural language generation (NLG) have recently started exhibiting promising capabilities across a variety of domains. However, gauging the trustworthiness of response... | [
12896,
37411,
13700,
24552,
40010,
44623,
39377,
4274,
17299,
4340,
10876
] | Validation |
28,964 | 16 | Title: Schema Inference for Interpretable Image Classification
Abstract: In this paper, we study a novel inference paradigm, termed as schema inference, that learns to deductively infer the explainable predictions by rebuilding the prior deep neural network (DNN) forwarding scheme, guided by the prevalent philosophical... | [
36374,
13855
] | Train |
28,965 | 16 | Title: SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection
Abstract: Despite significant progress in shadow detection, current methods still struggle with the adverse impact of background color, which may lead to errors when shadows are present on complex backgrounds. Drawing inspiration from t... | [] | Test |
28,966 | 24 | Title: Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games
Abstract: We introduce a class of networked Markov potential games in which agents are associated with nodes in a network. Each agent has its own local potential function, and the reward of each agent depends only on the states and ... | [] | Train |
28,967 | 30 | Title: Brain encoding models based on multimodal transformers can transfer across language and vision
Abstract: Encoding models have been used to assess how the human brain represents concepts in language and vision. While language and vision rely on similar concept representations, current encoding models are typicall... | [] | Train |
28,968 | 24 | Title: Efficient Certified Training and Robustness Verification of Neural ODEs
Abstract: Neural Ordinary Differential Equations (NODEs) are a novel neural architecture, built around initial value problems with learned dynamics which are solved during inference. Thought to be inherently more robust against adversarial p... | [] | Train |
28,969 | 7 | Title: Solving the Discretised Neutron Diffusion Equations using Neural Networks
Abstract: This paper presents a new approach which uses the tools within Artificial Intelligence (AI) software libraries as an alternative way of solving partial differential equations (PDEs) that have been discretised using standard numer... | [
17827
] | Train |
28,970 | 13 | Title: EEGSN: Towards Efficient Low-latency Decoding of EEG with Graph Spiking Neural Networks
Abstract: A vast majority of spiking neural networks (SNNs) are trained based on inductive biases that are not necessarily a good fit for several critical tasks that require low-latency and power efficiency. Inferring brain b... | [] | Train |
28,971 | 25 | Title: Exploring Domain-Specific Enhancements for a Neural Foley Synthesizer
Abstract: Foley sound synthesis refers to the creation of authentic, diegetic sound effects for media, such as film or radio. In this study, we construct a neural Foley synthesizer capable of generating mono-audio clips across seven predefined... | [
4481
] | Train |
28,972 | 24 | Title: Membership Inference Attacks on DNNs using Adversarial Perturbations
Abstract: Several membership inference (MI) attacks have been proposed to audit a target DNN. Given a set of subjects, MI attacks tell which subjects the target DNN has seen during training. This work focuses on the post-training MI attacks emp... | [
45196,
38239,
12191
] | Train |
28,973 | 16 | Title: FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
Abstract: In the fashion domain, there exists a variety of vision-and-language (V+L) tasks, including cross-modal retrieval, text-guided image retrieval, multi-modal classification, and image captioning. They differ drastically in each... | [
40079
] | Test |
28,974 | 16 | Title: Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning
Abstract: Interactive segmentation has recently been explored to effectively and efficiently harvest high-quality segmentation masks by iteratively incorporating user hints. While iterati... | [
40497,
4083,
16436,
22495
] | Validation |
28,975 | 16 | Title: Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation
Abstract: Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated samples. Encouraging progress has been made for FSS by leveraging semantic features learned from base classes with sufficient training samples ... | [] | Train |
28,976 | 25 | Title: Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation
Abstract: Despite major advancements in Automatic Speech Recognition (ASR), the state-of-the-art ASR systems struggle to deal with impaired speech even with high-resource languages. In Arabic, this challenge gets amplified, with... | [] | Train |
28,977 | 5 | Title: Lattice Linearity of Multiplication and Modulo
Abstract: In this paper, we study the lattice linearity of multiplication and modulo operations. We demonstrate that these operations are lattice linear and the parallel processing algorithms that we study for both these operations are able to exploit the lattice li... | [] | Train |
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