node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
45,578 | 16 | Title: ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box
Abstract: Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects across video frames. Detection boxes serve as the basis of both 2D and 3D MOT. The inevitable changing of detection scores leads to obj... | [
32611,
7948
] | Train |
45,579 | 16 | Title: Diffusion-based 3D Object Detection with Random Boxes
Abstract: 3D object detection is an essential task for achieving autonomous driving. Existing anchor-based detection methods rely on empirical heuristics setting of anchors, which makes the algorithms lack elegance. In recent years, we have witnessed the rise... | [
11551,
21197,
36174,
38739,
45087
] | Validation |
45,580 | 6 | Title: Designing a realistic peer-like embodied conversational agent for supporting children\textquotesingle s storytelling
Abstract: Advances in artificial intelligence have facilitated the use of large language models (LLMs) and AI-generated synthetic media in education, which may inspire HCI researchers to develop t... | [
21371
] | Train |
45,581 | 24 | Title: Complexity Analysis of a Countable-armed Bandit Problem
Abstract: We consider a stochastic multi-armed bandit (MAB) problem motivated by ``large'' action spaces, and endowed with a population of arms containing exactly $K$ arm-types, each characterized by a distinct mean reward. The decision maker is oblivious t... | [] | Train |
45,582 | 30 | Title: A Sequence-to-Sequence&Set Model for Text-to-Table Generation
Abstract: Recently, the text-to-table generation task has attracted increasing attention due to its wide applications. In this aspect, the dominant model formalizes this task as a sequence-to-sequence generation task and serializes each table into a t... | [
36545,
26670
] | Train |
45,583 | 28 | Title: Gaussian Data Privacy Under Linear Function Recoverability
Abstract: A user’s data is represented by a Gaussian random variable. Given a linear function of the data, a querier is required to recover, with at least a prescribed accuracy level, the function value based on a query response provided by the user. The... | [] | Validation |
45,584 | 24 | Title: Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning
Abstract: Federated Learning (FL) has become a popular distributed learning paradigm that involves multiple clients training a global model collaboratively in a data privacy-preserving manner... | [] | Train |
45,585 | 23 | Title: Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future
Abstract: Software Bill of Materials (SBOM) serves as a critical pillar in ensuring software supply chain security by providing a detailed inventory of the components and dependencies integral to software development. However, challeng... | [
28536,
18146
] | Train |
45,586 | 28 | Title: A Novel Reconfigurable Vector-Processed Interleaving Algorithm for a DVB-RCS2 Turbo Encoder
Abstract: Turbo-Codes (TC) are a family of convolutional codes enabling Forward-Error-Correction (FEC) while approaching the theoretical limit of channel capacity predicted by Shannons theorem. One of the bottlenecks of a... | [] | Train |
45,587 | 25 | Title: MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions
Abstract: Transformer based models have provided significant performance improvements in monaural speech separation. However, there is still a performance g... | [
39175,
6455
] | Validation |
45,588 | 16 | Title: FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
Abstract: In recent decades, wildfires, as widespread and extremely destructive natural disasters, have caused tremendous property losses and fatalities, as well as extensive damage to forest... | [] | Test |
45,589 | 5 | Title: Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression
Abstract: The increasing volume and velocity of science data necessitate the frequent movement of enormous data volumes as part of routine research activities. As a result, limited wide-area bandwidth often leads to bottlenecks in... | [] | Train |
45,590 | 30 | Title: Enhance Reasoning Ability of Visual-Language Models via Large Language Models
Abstract: Pre-trained visual language models (VLM) have shown excellent performance in image caption tasks. However, it sometimes shows insufficient reasoning ability. In contrast, large language models (LLMs) emerge with powerful reas... | [
10624,
30243,
32419,
10897,
3795,
42679,
3609,
45242,
1854
] | Validation |
45,591 | 24 | Title: "How to make them stay?" - Diverse Counterfactual Explanations of Employee Attrition
Abstract: Employee attrition is an important and complex problem that can directly affect an organisation's competitiveness and performance. Explaining the reasons why employees leave an organisation is a key human resource mana... | [] | Train |
45,592 | 36 | Title: Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents
Abstract: The real-world deployment of fair allocation algorithms usually involves a heterogeneous population of users, which makes it challenging for the users to get complete knowledge of the allocation except for their own bu... | [
33924,
34845,
25118
] | Train |
45,593 | 10 | Title: Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Abstract: There is increasing attention being given to how to regulate AI systems. As governing bodies grapple with what values to encapsulate into regulation, we consider the technical half of the question: To what extent can AI experts vet... | [
36773,
44741,
45104,
38834,
16372,
9403,
22716
] | Train |
45,594 | 10 | Title: LLMs4OL: Large Language Models for Ontology Learning
Abstract: We propose the LLMs4OL approach, which utilizes Large Language Models (LLMs) for Ontology Learning (OL). LLMs have shown significant advancements in natural language processing, demonstrating their ability to capture complex language patterns in diff... | [
40610,
13700,
25892
] | Train |
45,595 | 30 | Title: Metaphor Detection via Explicit Basic Meanings Modelling
Abstract: One noticeable trend in metaphor detection is the embrace of linguistic theories such as the metaphor identification procedure (MIP) for model architecture design. While MIP clearly defines that the metaphoricity of a lexical unit is determined b... | [
30888,
10801,
13790,
19127
] | Validation |
45,596 | 24 | Title: Convergence of SARSA with linear function approximation: The random horizon case
Abstract: The reinforcement learning algorithm SARSA combined with linear function approximation has been shown to converge for infinite horizon discounted Markov decision problems (MDPs). In this paper, we investigate the convergen... | [] | Validation |
45,597 | 24 | Title: EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Abstract: Equivariant Transformers such as Equiformer have demonstrated the efficacy of applying Transformers to the domain of 3D atomistic systems. However, they are still limited to small degrees of equivariant represen... | [
35541,
25902
] | Test |
45,598 | 27 | Title: Auto-Assembly: a framework for automated robotic assembly directly from CAD
Abstract: In this work, we propose a framework called Auto-Assembly for automated robotic assembly from design files and demonstrate a practical implementation on modular parts joined by fastening using a robotic cell consisting of two r... | [
23246
] | Train |
45,599 | 36 | Title: A Novel Reward Shaping Function for Single-Player Mahjong
Abstract: Mahjong is a complex game with an intractably large state space with extremely sparse rewards, which poses challenges to develop an agent to play Mahjong. To overcome this, the ShangTing function was adopted as a reward shaping function. This wa... | [] | Validation |
45,600 | 16 | Title: Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
Abstract: Deep neural networks (DNNs) are increasingly used in safety-critical autonomous systems as perception components processing high-dimensional image data. Formal analysis of these systems is particularly challenging due to the complexi... | [
20811
] | Validation |
45,601 | 37 | Title: Transactional Indexes on (RDMA or CXL-based) Disaggregated Memory with Repairable Transaction
Abstract: The failure atomic and isolated execution of clients operations is a default requirement for a system that serve multiple loosely coupled clients at a server. However, disaggregated memory breaks this requirem... | [
9682
] | Train |
45,602 | 3 | Title: From Robots to Books: An Introduction to Smart Applications of AI in Education (AIEd)
Abstract: : The world around us has undergone a radical transformation due to rapid technological advancement in recent decades. The industry of the future generation is evolving, and artificial intelligence is the next change ... | [] | Train |
45,603 | 8 | Title: CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters
Abstract: We present CASSINI, a network-aware job scheduler for machine learning (ML) clusters. CASSINI introduces a novel geometric abstraction to consider the communication pattern of different jobs while placing them on network links. To do so... | [] | Train |
45,604 | 16 | Title: Attention-Driven Lightweight Model for Pigmented Skin Lesion Detection
Abstract: This study presents a lightweight pipeline for skin lesion detection, addressing the challenges posed by imbalanced class distribution and subtle or atypical appearances of some lesions. The pipeline is built around a lightweight mo... | [] | Train |
45,605 | 30 | Title: Prompt ChatGPT In MNER: Improved multimodal named entity recognition method based on auxiliary refining knowledge from ChatGPT
Abstract: Multimodal Named Entity Recognition (MNER) on social media aims to enhance textual entity prediction by incorporating image-based clues. Existing research in this domain has pr... | [
10624,
14368,
12128,
13700,
25071,
26578,
31956,
31189,
44758,
38011
] | Test |
45,606 | 24 | Title: On the Generalization of Diffusion Model
Abstract: The diffusion probabilistic generative models are widely used to generate high-quality data. Though they can synthetic data that does not exist in the training set, the rationale behind such generalization is still unexplored. In this paper, we formally define t... | [
45104,
8308
] | Validation |
45,607 | 24 | Title: Scalable Online Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators
Abstract: In this work, a Stackelberg game theoretic framework is proposed for trading energy bidirectionally between the demand-response (DR) aggregator and the prosumers. This formulation allo... | [] | Train |
45,608 | 30 | Title: ChatGPT as a Factual Inconsistency Evaluator for Text Summarization
Abstract: The performance of text summarization has been greatly boosted by pre-trained language models. A main concern of existing methods is that most generated summaries are not factually inconsistent with their source documents. To alleviate... | [
12128,
38208,
33699,
35580,
36709,
25830,
15049,
14380,
9586,
3861,
12087,
35545,
33884
] | Train |
45,609 | 16 | Title: Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Abstract: Recent advances in computer vision fairness have relied on datasets augmented with perceived attribute signals (e.g. gender presentation, skin tone, and age) and benchmarks enabled by these datasets. Typically labels for these tasks com... | [
43527,
21927
] | Train |
45,610 | 30 | Title: Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model
Abstract: Language use has been shown to correlate with depression, but large-scale validation is needed. Traditional methods like clinic stud... | [
40677
] | Validation |
45,611 | 24 | Title: Predictive Maintenance of Armoured Vehicles using Machine Learning Approaches
Abstract: Armoured vehicles are specialized and complex pieces of machinery designed to operate in high-stress environments, often in combat or tactical situations. This study proposes a predictive maintenance-based ensemble system tha... | [] | Train |
45,612 | 23 | Title: Safe-DS: A Domain Specific Language to Make Data Science Safe
Abstract: Due to the long runtime of Data Science (DS) pipelines, even small programming mistakes can be very costly, if they are not detected statically. However, even basic static type checking of DS pipelines is difficult because most are written i... | [
28735
] | Train |
45,613 | 25 | Title: Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
Abstract: Although deep learning has made strides in the field of deep noise suppression, leveraging deep architectures on resource-constrained devices still proved challenging. Therefore, we present an early-exiting model based on nsNet2 that p... | [] | Train |
45,614 | 3 | Title: RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems
Abstract: Complying with the EU AI Act (AIA) guidelines while developing and implementing AI systems will soon be mandatory within the EU. However, practitioners lack actionable instructions to operationalise ethics during AI sy... | [
30539
] | Train |
45,615 | 30 | Title: Enhancing Knowledge Graph Construction Using Large Language Models
Abstract: The growing trend of Large Language Models (LLM) development has attracted significant attention, with models for various applications emerging consistently. However, the combined application of Large Language Models with semantic techn... | [
19159,
33220,
1639
] | Test |
45,616 | 31 | Title: Formalizing Multimedia Recommendation through Multimodal Deep Learning
Abstract: Recommender systems (RSs) offer personalized navigation experiences on online platforms, but recommendation remains a challenging task, particularly in specific scenarios and domains. Multimodality can help tap into richer informati... | [
1059,
31335,
42983,
27018,
8335,
29311,
25106,
32629,
185,
2906,
20378
] | Validation |
45,617 | 30 | Title: Are fairness metric scores enough to assess discrimination biases in machine learning?
Abstract: This paper presents novel experiments shedding light on the shortcomings of current metrics for assessing biases of gender discrimination made by machine learning algorithms on textual data. We focus on the Bios data... | [] | Train |
45,618 | 27 | Title: Hydra-Multi: Collaborative Online Construction of 3D Scene Graphs with Multi-Robot Teams
Abstract: 3D scene graphs have recently emerged as an expressive high-level map representation that describes a 3D environment as a layered graph where nodes represent spatial concepts at multiple levels of abstraction (e.g.... | [] | Validation |
45,619 | 4 | Title: Towards Fair and Privacy Preserving Federated Learning for the Healthcare Domain
Abstract: Federated learning enables data sharing in healthcare contexts where it might otherwise be difficult due to data-use-ordinances or security and communication constraints. Distributed and shared data models allow models to ... | [] | Train |
45,620 | 25 | Title: Unsupervised Multi-channel Separation and Adaptation
Abstract: A key challenge in machine learning is to generalize from training data to an application domain of interest. This work generalizes the recently-proposed mixture invariant training (MixIT) algorithm to perform unsupervised learning in the multi-chann... | [] | Test |
45,621 | 26 | Title: Linking Datasets on Organizations Using Half A Billion Open Collaborated Records
Abstract: Scholars studying organizations often work with multiple datasets lacking shared unique identifiers or covariates. In such situations, researchers may turn to approximate string matching methods to combine datasets. String... | [] | Validation |
45,622 | 16 | Title: Solar Irradiance Anticipative Transformer
Abstract: This paper proposes an anticipative transformer-based model for short-term solar irradiance forecasting. Given a sequence of sky images, our proposed vision transformer encodes features of consecutive images, feeding into a transformer decoder to predict irradi... | [] | Test |
45,623 | 16 | Title: Non-Contact Heart Rate Measurement from Deteriorated Videos
Abstract: Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can be susceptible to various artifacts, such as noise, occlusions... | [] | Train |
45,624 | 16 | Title: SiamTHN: Siamese Target Highlight Network for Visual Tracking
Abstract: Siamese network based trackers develop rapidly in the field of visual object tracking in recent years. The majority of siamese network based trackers now in use treat each channel in the feature maps generated by the backbone network equally... | [] | Train |
45,625 | 27 | Title: Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles
Abstract: This work presents a study on parallel and distributional deep reinforcement learning applied to the mapless navigation of UAVs. For this, we developed an approach based on the Soft Actor-Critic method, produci... | [] | Train |
45,626 | 27 | Title: Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Robust Navigation in Urban Canyons
Abstract: Integrating Global Navigation Satellite Systems (GNSS) in Simultaneous Localization and Mapping (SLAM) systems draws increasing attention to a global and continuous localization solution. Nonetheless,... | [] | Train |
45,627 | 24 | Title: Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments
Abstract: The development of the Internet of Things (IoT) has dramatically expanded our daily lives, playing a pivotal role in the enablement of smart cities, healthcare, and buildings. Emerging technologies, such as IoT, ... | [] | Train |
45,628 | 24 | Title: Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions
Abstract: Low-rank matrix completion consists of computing a matrix of minimal complexity that recovers a given set of observations as accurately as possible, and has numerous applications such as product recommendation. Un... | [
30759
] | Train |
45,629 | 16 | Title: RSC-VAE: Recoding Semantic Consistency Based VAE for One-Class Novelty Detection
Abstract: In recent years, there is an increasing interests in reconstruction based generative models for image One-Class Novelty Detection, most of which only focus on image-level information. While in this paper, we further exploi... | [] | Test |
45,630 | 24 | Title: Recognizable Information Bottleneck
Abstract: Information Bottlenecks (IBs) learn representations that generalize to unseen data by information compression. However, existing IBs are practically unable to guarantee generalization in real-world scenarios due to the vacuous generalization bound. The recent PAC-Bay... | [] | Train |
45,631 | 30 | Title: Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4
Abstract: In this work, we carry out a data archaeology to infer books that are known to ChatGPT and GPT-4 using a name cloze membership inference query. We find that OpenAI models have memorized a wide collection of copyrighted materials, and that th... | [
21794,
13700,
16156,
8264,
37801,
45104,
29401,
22677,
13495,
26012,
45659,
668,
29375
] | Test |
45,632 | 3 | Title: Towards Trustworthy Artificial Intelligence for Equitable Global Health
Abstract: Artificial intelligence (AI) can potentially transform global health, but algorithmic bias can exacerbate social inequities and disparity. Trustworthy AI entails the intentional design to ensure equity and mitigate potential biases... | [] | Test |
45,633 | 24 | Title: Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints
Abstract: The storage, management, and application of massive spatio-temporal data are widely applied in various practical scenarios, including public safety. However, due to the unique spatio-te... | [] | Train |
45,634 | 31 | Title: RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation
Abstract: In this paper we propose RecFusion, which comprise a set of diffusion models for recommendation. Unlike image data which contain spatial correlations, a user-item interaction matrix, commonly utilized in recommendation, lacks spatia... | [
45177,
40293,
34238
] | Train |
45,635 | 30 | Title: Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition
Abstract: Transfer learning has led to large gains in performance for nearly all NLP tasks while making downstream models easier and faster to train. This has also been extended to low-resourced languages, with some success. We in... | [
21574
] | Validation |
45,636 | 23 | Title: Rapid Development of Compositional AI
Abstract: Compositional AI systems, which combine multiple artificial intelligence components together with other application components to solve a larger problem, have no known pattern of development and are often approached in a bespoke and ad hoc style. This makes develop... | [] | Train |
45,637 | 30 | Title: Cross-Lingual Transfer with Target Language-Ready Task Adapters
Abstract: Adapters have emerged as a modular and parameter-efficient approach to (zero-shot) cross-lingual transfer. The established MAD-X framework employs separate language and task adapters which can be arbitrarily combined to perform the transfe... | [] | Train |
45,638 | 2 | Title: Constraint Optimization over Semirings
Abstract: Interpretations of logical formulas over semirings (other than the Boolean semiring) have applications in various areas of computer science including logic, AI, databases, and security. Such interpretations provide richer information beyond the truth or falsity of... | [] | Train |
45,639 | 24 | Title: Learning Hybrid Dynamics Models With Simulator-Informed Latent States
Abstract: Dynamics model learning deals with the task of inferring unknown dynamics from measurement data and predicting the future behavior of the system. A typical approach to address this problem is to train recurrent models. However, predi... | [
1338
] | Validation |
45,640 | 16 | Title: Text to Point Cloud Localization with Relation-Enhanced Transformer
Abstract: Automatically localizing a position based on a few natural language instructions is essential for future robots to communicate and collaborate with humans. To approach this goal, we focus on a text-to-point-cloud cross-modal localizati... | [] | Train |
45,641 | 6 | Title: Accurate and Fast VR Eye-Tracking using Deflectometric Information
Abstract: We present two methods for fast and precise eye-tracking in VR headsets. Both methods exploit deflectometric information, i.e., the specular reflection of an extended screen over the eye surface. | [
2072,
5504
] | Train |
45,642 | 8 | Title: Semantic Communication-Empowered Traffic Management using Vehicle Count Prediction
Abstract: Vehicle count prediction is an important aspect of smart city traffic management. Most major roads are monitored by cameras with computing and transmitting capabilities. These cameras provide data to the central traffic ... | [
11003,
42700,
15263
] | Test |
45,643 | 30 | Title: Multimodal Audio-textual Architecture for Robust Spoken Language Understanding
Abstract: Recent voice assistants are usually based on the cascade spoken language understanding (SLU) solution, which consists of an automatic speech recognition (ASR) engine and a natural language understanding (NLU) system. Because... | [] | Train |
45,644 | 36 | Title: The Price of Equity with Binary Valuations and Few Agent Types
Abstract: In fair division problems, the notion of price of fairness measures the loss in welfare due to a fairness constraint. Prior work on the price of fairness has focused primarily on envy-freeness up to one good (EF1) as the fairness constraint... | [] | Validation |
45,645 | 16 | Title: MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection
Abstract: Advanced manipulation techniques have provided criminals with opportunities to make social panic or gain illicit profits through the generation of deceptive media, such as forged face images. In response, various... | [] | Train |
45,646 | 10 | Title: Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
Abstract: Creating knowledge bases and ontologies is a time consuming task that relies on a manual curation. AI/NLP approaches can assist expert curators in populating ... | [
32736,
38464,
13700,
13769,
9775,
27282,
25235,
34329
] | Train |
45,647 | 24 | Title: Interpretable ensembles of hyper-rectangles as base models
Abstract: nan | [] | Validation |
45,648 | 31 | Title: EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising
Abstract: We present a new encoder-decoder generative network dubbed EdgeNet, which introduces a novel encoder-decoder framework for data-driven auction design in online e-commerce advertising. We break the neural au... | [] | Validation |
45,649 | 24 | Title: Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
Abstract: Learning the kernel parameters for Gaussian processes is often the computational bottleneck in applications such as online learning, Bayesian optimization, or active learning. Amortizing parameter inference over different da... | [
7687
] | Train |
45,650 | 10 | Title: Towards a Technology-Driven Adaptive Decision Support System for Integrated Pavement and Maintenance strategies (TDADSS-IPM): focus on risk assessment framework for climate change adaptation
Abstract: Decision Support Systems for pavement and maintenance strategies have traditionally been designed as silos led t... | [] | Train |
45,651 | 27 | Title: Automated Automotive Radar Calibration With Intelligent Vehicles
Abstract: While automotive radar sensors are widely adopted and have been used for automatic cruise control and collision avoidance tasks, their application outside of vehicles is still limited. As they have the ability to resolve multiple targets ... | [] | Train |
45,652 | 4 | Title: HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks
Abstract: Convolutional neural network (CNN) inference using fully homomorphic encryption (FHE) is a promising private inference (PI) solution due to the capability of FHE that enables offloading the whole computat... | [
24881,
28089,
7660
] | Test |
45,653 | 16 | Title: Separate Scene Text Detector for Unseen Scripts is Not All You Need
Abstract: Text detection in the wild is a well-known problem that becomes more challenging while handling multiple scripts. In the last decade, some scripts have gained the attention of the research community and achieved good detection performa... | [] | Train |
45,654 | 28 | Title: STAR-RIS Assisted Covert Communications in NOMA Systems
Abstract: Covert communications assisted by simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) in non-orthogonal multiple access (NOMA) systems have been explored in this paper. In particular, the access point (AP) tran... | [
22160
] | Train |
45,655 | 30 | Title: Large language models and (non-)linguistic recursion
Abstract: Recursion is one of the hallmarks of human language. While many design features of language have been shown to exist in animal communication systems, recursion has not. Previous research shows that GPT-4 is the first large language model (LLM) to exh... | [
33220,
29861,
39823,
13495,
13305
] | Test |
45,656 | 16 | Title: DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
Abstract: Domain adaptive semantic segmentation methods commonly utilize stage-wise training, consisting of a warm-up and a self-training stage. However, this popular approach still faces several challenges in each stage: for war... | [] | Validation |
45,657 | 24 | Title: Dataset Distillation Fixes Dataset Reconstruction Attacks
Abstract: Modern deep learning requires large volumes of data, which could contain sensitive or private information which cannot be leaked. Recent work has shown for homogeneous neural networks a large portion of this training data could be reconstructed ... | [
9244,
10844
] | Train |
45,658 | 10 | Title: Reducing Causality to Functions with Structural Models
Abstract: The precise definition of causality is currently an open problem in philosophy and statistics. We believe causality should be defined as functions (in mathematics) that map causes to effects. We propose a reductive definition of causality based on ... | [] | Train |
45,659 | 10 | Title: Professional Certification Benchmark Dataset: The First 500 Jobs For Large Language Models
Abstract: The research creates a professional certification survey to test large language models and evaluate their employable skills. It compares the performance of two AI models, GPT-3 and Turbo-GPT3.5, on a benchmark da... | [
12128,
27232,
20228,
15301,
13510,
4071,
20070,
44776,
44173,
45631,
8591,
7695,
43764,
44246,
32921,
35580,
1789,
3967
] | Test |
45,660 | 16 | Title: Interpreting and Correcting Medical Image Classification with PIP-Net
Abstract: Part-prototype models are explainable-by-design image classifiers, and a promising alternative to black box AI. This paper explores the applicability and potential of interpretable machine learning, in particular PIP-Net, for automat... | [
18095
] | Train |
45,661 | 27 | Title: NR-SLAM: Non-Rigid Monocular SLAM
Abstract: In this paper we present NR-SLAM, a novel non-rigid monocular SLAM system founded on the combination of a Dynamic Deformation Graph with a Visco-Elastic deformation model. The former enables our system to represent the dynamics of the deforming environment as the camer... | [] | Validation |
45,662 | 10 | Title: How much can ChatGPT really help Computational Biologists in Programming?
Abstract: ChatGPT, a recently developed product by openAI, is successfully leaving its mark as a multi-purpose natural language based chatbot. In this paper, we are more interested in analyzing its potential in the field of computational b... | [] | Train |
45,663 | 26 | Title: The position value as a centrality measure in social networks
Abstract: The position value, introduced by Meessen (1988), is a solution concept for cooperative games in which the value assigned to a player depends on the value of the connections or links he has with other players. This concept has been studied b... | [] | Test |
45,664 | 4 | Title: LLM in the Shell: Generative Honeypots
Abstract: Honeypots are essential tools in cybersecurity. However, most of them (even the high-interaction ones) lack the required realism to engage and fool human attackers. This limitation makes them easily discernible, hindering their effectiveness. This work introduces ... | [
17570
] | Test |
45,665 | 23 | Title: CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space
Abstract: Deep neural networks (DNNs) have demonstrated their outperformance in various software systems, but also exhibit misbehavior and even result in irreversible disasters. Therefore, it is crucial to identify th... | [] | Train |
45,666 | 10 | Title: Characterization and Learning of Causal Graphs with Small Conditioning Sets
Abstract: Constraint-based causal discovery algorithms learn part of the causal graph structure by systematically testing conditional independences observed in the data. These algorithms, such as the PC algorithm and its variants, rely o... | [] | Train |
45,667 | 37 | Title: Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach
Abstract: Existing machine learning models have proven to fail when it comes to their performance for minority groups, mainly due to biases in data. In particular, datasets, especially social data, are often not represent... | [
16973
] | Train |
45,668 | 9 | Title: On the k-Hamming and k-Edit Distances
Abstract: In this paper we consider the weighted $k$-Hamming and $k$-Edit distances, that are natural generalizations of the classical Hamming and Edit distances. As main results of this paper we prove that for any $k\geq 2$ the DECIS-$k$-Hamming problem is $\mathbb{P}$-SPAC... | [
33719
] | Train |
45,669 | 16 | Title: Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting
Abstract: Radiology reporting is a crucial part of the communication between radiologists and other medical professionals, but it can be time-consuming and error-prone. One approach to alleviate this is structured reporting, which ... | [] | Validation |
45,670 | 8 | Title: A Federated Channel Modeling System using Generative Neural Networks
Abstract: The paper proposes a data-driven approach to air-to-ground channel estimation in a millimeter-wave wireless network on an unmanned aerial vehicle. Unlike traditional centralized learning methods that are specific to certain geographic... | [] | Train |
45,671 | 34 | Title: Faster Algorithms for Evacuation Problems in Networks with the Single Sink of Small Degree
Abstract: In this paper, we propose new algorithms for evacuation problems defined on dynamic flow networks. A dynamic flow network is a directed graph in which source nodes are given supplies (i.e., the number of evacuees... | [] | Validation |
45,672 | 28 | Title: Mutual Information Rate of Gaussian and Truncated Gaussian Inputs on Intensity-Driven Signal Transduction Channels
Abstract: In this letter, we investigate the mutual information rate (MIR) achieved by an independent identically distributed (IID) Gaussian input on the intensity-driven signal transduction channel... | [] | Test |
45,673 | 4 | Title: "Make Them Change it Every Week!": A Qualitative Exploration of Online Developer Advice on Usable and Secure Authentication
Abstract: Usable and secure authentication on the web and beyond is mission-critical. While password-based authentication is still widespread, users have trouble dealing with potentially hu... | [] | Validation |
45,674 | 26 | Title: Exploring Gender-Based Toxic Speech on Twitter in Context of the #MeToo movement: A Mixed Methods Approach
Abstract: The #MeToo movement has catalyzed widespread public discourse surrounding sexual harassment and assault, empowering survivors to share their stories and holding perpetrators accountable. While the... | [] | Validation |
45,675 | 37 | Title: FINEX: A Fast Index for Exact & Flexible Density-Based Clustering
Abstract: Density-based clustering aims to find groups of similar objects (i.e., clusters) in a given dataset. Applications include, e.g., process mining and anomaly detection. It comes with two user parameters (ε, MinPts) that determine the clust... | [] | Train |
45,676 | 24 | Title: Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Abstract: Stochastic approximation with multiple coupled sequences (MSA) has found broad applications in machine learning as it encompasses a rich class of problems including bilevel optimization (BLO), multi-level compositiona... | [
4668,
33789,
39718
] | Train |
45,677 | 16 | Title: Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition
Abstract: In this paper, we introduce Masked Feature Modelling (MFM), a novel approach for the unsupervised pre-training of a Graph Attention Network (GAT) block. M... | [
41902
] | Train |
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