node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
43,978 | 16 | Title: RGB-D and Thermal Sensor Fusion: A Systematic Literature Review
Abstract: In the last decade, the computer vision field has seen significant progress in multimodal data fusion and learning, where multiple sensors, including depth, infrared, and visual, are used to capture the environment across diverse spectral ... | [] | Train |
43,979 | 31 | Title: Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT
Abstract: This study investigates the feasibility of developing an Artificial General Recommender (AGR), facilitated by recent advancements in Large Language Models (LLMs). An AGR comprises both conversationality and universality to e... | [
4610,
33699,
13510,
7665,
10069,
24503,
9917
] | Train |
43,980 | 30 | Title: Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Abstract: Recent progress in large language models (LLMs) like GPT-4 and PaLM-2 has brought significant advancements in addressing math reasoning problems. In particular, OpenAI's latest version of GPT-4, known ... | [
40610,
43970,
15812,
37994,
19727,
29396,
43641,
17789
] | Train |
43,981 | 24 | Title: ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning
Abstract: The recent contrastive learning methods, due to their effectiveness in representation learning, have been widely applied to modeling graph data. Random perturbation is widely used to build contrastive views for graph data, w... | [
14744,
37531,
32062,
34719
] | Test |
43,982 | 16 | Title: Centroid-centered Modeling for Efficient Vision Transformer Pre-training
Abstract: Masked Image Modeling (MIM) is a new self-supervised vision pre-training paradigm using Vision Transformer (ViT). Previous works can be pixel-based or token-based, using original pixels or discrete visual tokens from parametric to... | [] | Train |
43,983 | 30 | Title: Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem
Abstract: Crossword puzzles have traditionally served not only as entertainment but also as an educational tool that can be used to acquire vocabulary and language proficiency. One strategy to enhance the educational ... | [] | Validation |
43,984 | 24 | Title: CUTS: Neural Causal Discovery from Irregular Time-Series Data
Abstract: Causal discovery from time-series data has been a central task in machine learning. Recently, Granger causality inference is gaining momentum due to its good explainability and high compatibility with emerging deep neural networks. However, ... | [
16315
] | Train |
43,985 | 16 | Title: [Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT
Abstract: Minerals are indispensable for a functioning modern society. Yet, their supply is limited causing a need for optimizing their exploration and extraction both from ores and recycl... | [] | Train |
43,986 | 24 | Title: Personalized Federated Learning under Mixture of Distributions
Abstract: The recent trend towards Personalized Federated Learning (PFL) has garnered significant attention as it allows for the training of models that are tailored to each client while maintaining data privacy. However, current PFL techniques prima... | [
6673,
40982
] | Test |
43,987 | 16 | Title: pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation
Abstract: LiDAR-generated point clouds are crucial for perceiving outdoor environments. The segmentation of point clouds is also essential for many applications. Previous research has focused on us... | [] | Validation |
43,988 | 27 | Title: An Overconstrained Vertical Darboux Mechanism
Abstract: In this article, we will construct an overconstrained closed-loop linkage consisting of four revolute and one cylindrical joint. It is obtained by factorization of a prescribed vertical Darboux motion. We will investigate the kinematic behaviour of the obta... | [] | Train |
43,989 | 16 | Title: Camouflaged Object Detection with Feature Grafting and Distractor Aware
Abstract: The task of Camouflaged Object Detection (COD) aims to accurately segment camouflaged objects that integrated into the environment, which is more challenging than ordinary detection as the texture between the target and background ... | [] | Validation |
43,990 | 24 | Title: OL-Transformer: A Fast and Universal Surrogate Simulator for Optical Multilayer Thin Film Structures
Abstract: Deep learning-based methods have recently been established as fast and accurate surrogate simulators for optical multilayer thin film structures. However, existing methods only work for limited types of... | [] | Train |
43,991 | 16 | Title: Enhancing Next Active Object-based Egocentric Action Anticipation with Guided Attention
Abstract: Short-term action anticipation (STA) in first-person videos is a challenging task that involves understanding the next active object interactions and predicting future actions. Existing action anticipation methods h... | [
17697,
7981
] | Train |
43,992 | 4 | Title: Content-Aware Quantization Index Modulation: Leveraging Data Statistics for Enhanced Image Watermarking
Abstract: Image watermarking techniques have continuously evolved to address new challenges and incorporate advanced features. The advent of data-driven approaches has enabled the processing and analysis of la... | [] | Train |
43,993 | 36 | Title: Static and Dynamic Jamming Games Over Wireless Channels With Mobile Strategic Players
Abstract: We study a wireless jamming problem consisting of the competition between a legitimate receiver and a jammer, as a zero-sum game with the value to maximize/minimize being the channel capacity at the receiver's side. M... | [] | Validation |
43,994 | 36 | Title: Fair integer programming under dichotomous preferences
Abstract: One cannot make truly fair decisions using integer linear programs unless one controls the selection probabilities of the (possibly many) optimal solutions. For this purpose, we propose a unified framework when binary decision variables represent a... | [] | Train |
43,995 | 24 | Title: Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Abstract: Recently, graph-based models designed for downstream tasks have significantly advanced research on graph neural networks (GNNs). GNN baselines based on neural message-passing mechanisms such as GCN and G... | [] | Train |
43,996 | 16 | Title: Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition
Abstract: Optical Character Recognition (OCR) enables automatic text extraction from scanned or digitized text images, but it also makes it easy to pirate valuable or sensitive text from these images. Previous me... | [] | Train |
43,997 | 24 | Title: Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing
Abstract: Locality-sensitive hashing (LSH) based frameworks have been used efficiently to select weight vectors in a dense hidden layer with high cosine similarity to an input, enabling dynamic pruning. While this type of scheme ha... | [] | Test |
43,998 | 16 | Title: Energy-Based Detection of Adverse Weather Effects in LiDAR Data
Abstract: Autonomous vehicles rely on LiDAR sensors to perceive the environment. Adverse weather conditions like rain, snow, and fog negatively affect these sensors, reducing their reliability by introducing unwanted noise in the measurements. In th... | [] | Validation |
43,999 | 39 | Title: On interval edge-colorings of planar graphs
Abstract: An edge-coloring of a graph $G$ with colors $1,\ldots,t$ is called an \emph{interval $t$-coloring} if all colors are used and the colors of edges incident to each vertex of $G$ are distinct and form an interval of integers. In 1990, Kamalian proved that if a ... | [] | Train |
44,000 | 16 | Title: Generative AI for learning: Investigating the potential of synthetic learning videos
Abstract: Recent advances in generative artificial intelligence (AI) have captured worldwide attention. Tools such as Dalle-2 and ChatGPT suggest that tasks previously thought to be beyond the capabilities of AI may now augment ... | [
15885
] | Validation |
44,001 | 16 | Title: Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation
Abstract: Video-based 3D human pose and shape estimations are evaluated by intra-frame accuracy and inter-frame smoothness. Although these two metrics are responsible for different ranges of temporal consistency, existing state-of-the-ar... | [
21549
] | Train |
44,002 | 34 | Title: Sparse Dimensionality Reduction Revisited
Abstract: The sparse Johnson-Lindenstrauss transform is one of the central techniques in dimensionality reduction. It supports embedding a set of $n$ points in $\mathbb{R}^d$ into $m=O(\varepsilon^{-2} \lg n)$ dimensions while preserving all pairwise distances to within ... | [
2058
] | Test |
44,003 | 16 | Title: On the Vulnerability of DeepFake Detectors to Attacks Generated by Denoising Diffusion Models
Abstract: The detection of malicious Deepfakes is a constantly evolving problem, that requires continuous monitoring of detectors, to ensure they are able to detect image manipulations generated by the latest emerging m... | [] | Train |
44,004 | 24 | Title: Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention
Abstract: Understanding traffic participants' behaviour is crucial for predicting their future trajectories, aiding in developing safe and reliable planning systems for autonomous vehicles. Integrating cognitive pro... | [
35299
] | Train |
44,005 | 6 | Title: Mixed Multi-Model Semantic Interaction for Graph-based Narrative Visualizations
Abstract: Narrative sensemaking is an essential part of understanding sequential data. Narrative maps are a visual representation model that can assist analysts to understand narratives. In this work, we present a semantic interactio... | [
41959
] | Train |
44,006 | 10 | Title: A Green(er) World for A.I.
Abstract: As research and practice in artificial intelligence (A.I.) grow in leaps and bounds, the resources necessary to sustain and support their operations also grow at an increasing pace. While innovations and applications from A.I. have brought significant advances, from applicati... | [] | Train |
44,007 | 31 | Title: Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset
Abstract: Debiased recommendation with a randomized dataset has shown very promising results in mitigating system-induced biases. However, it still lacks more theoretical insights or an ideal optimization objective function compared ... | [] | Train |
44,008 | 10 | Title: Towards Cognitive Bots: Architectural Research Challenges
Abstract: nan | [
30243
] | Train |
44,009 | 24 | Title: What Matters in Reinforcement Learning for Tractography
Abstract: Recently, deep reinforcement learning (RL) has been proposed to learn the tractography procedure and train agents to reconstruct the structure of the white matter without manually curated reference streamlines. While the performances reported were... | [] | Train |
44,010 | 27 | Title: Task-sequencing Simulator: Integrated Machine Learning to Execution Simulation for Robot Manipulation
Abstract: —A task-sequencing simulator in robotics manip- ulation to integrate simulation-for-learning and simulation-for-execution is introduced. Unlike existing machine-learning simulation where a non-decompos... | [
22115,
33197
] | Train |
44,011 | 30 | Title: Discourse over Discourse: The Need for an Expanded Pragmatic Focus in Conversational AI
Abstract: The summarization of conversation, that is, discourse over discourse, elevates pragmatic considerations as a pervasive limitation of both summarization and other applications of contemporary conversational AI. Build... | [] | Train |
44,012 | 39 | Title: Graph subshifts
Abstract: We propose a definition of graph subshifts of finite type that can be seen as extending both the notions of subshifts of finite type from classical symbolic dynamics and finitely presented groups from combinatorial group theory. These are sets of graphs that are defined by forbidding fi... | [] | Train |
44,013 | 24 | Title: Oracle-Preserving Latent Flows
Abstract: A fundamental task in data science is the discovery, description, and identification of any symmetries present in the data. We developed a deep learning methodology for the simultaneous discovery of multiple non-trivial continuous symmetries across an entire labeled datas... | [] | Train |
44,014 | 23 | Title: Systematic Comparison of Software Agents and Digital Twins: Differences, Similarities, and Synergies in Industrial Production
Abstract: To achieve a highly agile and flexible production, it is envisioned that industrial production systems gradually become more decentralized, interconnected, and intelligent. With... | [] | Train |
44,015 | 16 | Title: Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures
Abstract: This paper presents an investigation into machine learning techniques for violence detection in videos and their adaptation to a federated learning context. ... | [] | Validation |
44,016 | 27 | Title: Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots
Abstract: Autonomous terrain traversal of articulated tracked robots can reduce operator cognitive load to enhance task efficiency and facilitate extensive deployment. We present a novel hybrid trajectory optimization m... | [] | Test |
44,017 | 30 | Title: Exploring Format Consistency for Instruction Tuning
Abstract: Instruction tuning has emerged as a promising approach to enhancing large language models in following human instructions. It is shown that increasing the diversity and number of instructions in the training data can consistently enhance generalizatio... | [
13345,
25892,
42756
] | Train |
44,018 | 24 | Title: Investigating how ReLU-networks encode symmetries
Abstract: Many data symmetries can be described in terms of group equivariance and the most common way of encoding group equivariances in neural networks is by building linear layers that are group equivariant. In this work we investigate whether equivariance of ... | [
33238
] | Train |
44,019 | 30 | Title: Finding Supporting Examples for In-Context Learning
Abstract: In-context learning is a new learning paradigm where a language model observes a few examples and then straightly outputs the test input's prediction. Previous works have shown that in-context learning is sensitive to the provided examples and randoml... | [
40192,
36392,
45577,
6061,
8911,
25943,
43327
] | Validation |
44,020 | 10 | Title: A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
Abstract: Model-based reasoning agents are ill-equipped to act in novel situations in which their model of the environment no longer sufficiently represents the world. We propose HYDRA - a framework for designing model-based a... | [] | Test |
44,021 | 16 | Title: Semantic-aware Consistency Network for Cloth-changing Person Re-Identification
Abstract: Cloth-changing Person Re-Identification (CC-ReID) is a challenging task that aims to retrieve the target person across multiple surveillance cameras when clothing changes might happen. Despite recent progress in CC-ReID, exi... | [] | Test |
44,022 | 6 | Title: Human-in-the-loop Schema Induction
Abstract: Schema induction builds a graph representation explaining how events unfold in a scenario. Existing approaches have been based on information retrieval (IR) and information extraction (IE), often with limited human curation. We demonstrate a human-in-the-loop schema i... | [
35530,
37284
] | Test |
44,023 | 16 | Title: Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement
Abstract: Visual restoration of underwater scenes is crucial for visual tasks, and avoiding interference from underwater media has become a prominent concern. In this work, we present a synergistic multiscale deta... | [] | Train |
44,024 | 16 | Title: Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks
Abstract: There is a growing interest in single-class modelling and out-of-distribution detection as fully supervised machine learning models cannot reliably identify classes not included in their training. The long ... | [
22621
] | Train |
44,025 | 24 | Title: Time Regularization in Optimal Time Variable Learning
Abstract: Recently, optimal time variable learning in deep neural networks (DNNs) was introduced in arXiv:2204.08528. In this manuscript we extend the concept by introducing a regularization term that directly relates to the time horizon in discrete dynamical... | [
14680
] | Test |
44,026 | 7 | Title: Efficient computational homogenisation of 2D beams of heterogeneous elasticity using the patch scheme
Abstract: Modern 'smart' materials have complex heterogeneous microscale structure, often with unknown macroscale closure but one we need to realise for large scale engineering and science. The multiscale Equati... | [] | Train |
44,027 | 16 | Title: CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search
Abstract: The success of deep learning based face recognition systems has given rise to serious privacy concerns due to their ability to enable unauthorized tracking of users in the digital world. Existing methods for ... | [
35940
] | Validation |
44,028 | 27 | Title: Coordination of Bounded Rational Drones through Informed Prior Policy
Abstract: Biological agents, such as humans and animals, are capable of making decisions out of a very large number of choices in a limited time. They can do so because they use their prior knowledge to find a solution that is not necessarily ... | [] | Train |
44,029 | 6 | Title: Non-visual Effects of Road Lighting CCT on Driver's Mood, Alertness, Fatigue and Reaction Time: A Comprehensive Neuroergonomic Evaluation Study
Abstract: Good nighttime road lighting is critical for driving safety. To improve the quality of nighttime road lighting, this study used the triangulation method by fus... | [] | Train |
44,030 | 16 | Title: TBGC: Task-level Backbone-Oriented Gradient Clip for Multi-Task Foundation Model Learning
Abstract: The AllInOne training paradigm squeezes a wide range of tasks into a unified model in a multi-task learning manner. However, optimization in multi-task learning is more challenge than single-task learning, as the ... | [] | Validation |
44,031 | 23 | Title: Towards Understanding Provenance in Industry
Abstract: Context: Trustworthiness of software has become a first-class concern of users (e.g., to understand software-made decisions). Also, there is increasing demand to demonstrate regulatory compliance of software and end users want to understand how software-inte... | [] | Train |
44,032 | 16 | Title: Transmission and Color-guided Network for Underwater Image Enhancement
Abstract: In recent years, with the continuous development of the marine industry, underwater image enhancement has attracted plenty of attention. Unfortunately, the propagation of light in water will be absorbed by water bodies and scattered... | [] | Train |
44,033 | 30 | Title: Evaluation of Question Generation Needs More References
Abstract: Question generation (QG) is the task of generating a valid and fluent question based on a given context and the target answer. According to various purposes, even given the same context, instructors can ask questions about different concepts, and ... | [] | Validation |
44,034 | 16 | Title: BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture
Abstract: This paper introduces the Budding Ensemble Architecture (BEA), a novel reduced ensemble architecture for anchor-based object detection models. Object detection models are crucial in vision-based tasks, particularly in... | [] | Train |
44,035 | 8 | Title: Internet of Everything (IoE) - From Molecules to the Universe
Abstract: The universe is a vast heterogeneous network of interconnected entities that continuously generate and exchange information through various forms of interactions, some of which are yet to be discovered. Internet of Everything (IoE) framework... | [
39999,
30911
] | Train |
44,036 | 6 | Title: Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams
Abstract: Graph or network data are widely studied in both data mining and visualization communities to review the relationship among different entities and groups. The data facts derived from graph visual analysis are import... | [] | Train |
44,037 | 10 | Title: ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models
Abstract: Legal Judgment Prediction (LJP) aims to predict judgment outcomes based on case description. Several researchers have developed techniques to assist potential clients by predicting the outcome in the legal ... | [] | Train |
44,038 | 18 | Title: DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator
Abstract: The wide adoption and significant computing resource consumption of attention-based Transformers, e.g., Vision Transformer and large language models, have driven the demands for efficient hardware accelerator... | [
33220,
9781,
1798
] | Test |
44,039 | 16 | Title: A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
Abstract: In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is taxonomically classified by an expert, and also has associated genetic i... | [] | Validation |
44,040 | 24 | Title: Motif-aware Attribute Masking for Molecular Graph Pre-training
Abstract: Attribute reconstruction is used to predict node or edge features in the pre-training of graph neural networks. Given a large number of molecules, they learn to capture structural knowledge, which is transferable for various downstream prop... | [
22256,
43889
] | Train |
44,041 | 28 | Title: Deep Learning-based Data-aided Activity Detection with Extraction Network in Grant-free Sparse Code Multiple Access Systems
Abstract: This letter proposes a deep learning-based data-aided active user detection network (D-AUDN) for grant-free sparse code multiple access (SCMA) systems that leverages both SCMA cod... | [] | Test |
44,042 | 27 | Title: Learning a Meta-Controller for Dynamic Grasping
Abstract: Grasping moving objects is a challenging task that combines multiple submodules such as object pose predictor, arm motion planner, etc. Each submodule operates under its own set of meta-parameters. For example, how far the pose predictor should look into ... | [] | Train |
44,043 | 27 | Title: Controlling Steering with Energy-Based Models
Abstract: So-called implicit behavioral cloning with energy-based models has shown promising results in robotic manipulation tasks. We tested if the method's advantages carry on to controlling the steering of a real self-driving car with an end-to-end driving model. ... | [] | Train |
44,044 | 24 | Title: Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives
Abstract: This paper proposes a locally differentially private federated learning algorithm for strongly convex but possibly nonsmooth problems that protects the gradients of each worker against an honest b... | [] | Train |
44,045 | 10 | Title: Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Abstract: This paper shows that the heterogeneity in neuronal and synaptic dynamics reduces the spiking activity of a Recurrent Spiking Neural Network (RSNN) while improving prediction performance... | [
10626,
22812
] | Train |
44,046 | 16 | Title: A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings
Abstract: Predicting where a person is looking is a complex task, requiring to understand not only the person’s gaze and scene content, but also the 3D scene structure and the per-son’s situation (are they man... | [
9438
] | Validation |
44,047 | 16 | Title: Anti-aliasing Predictive Coding Network for Future Video Frame Prediction
Abstract: We introduce here a predictive coding based model that aims to generate accurate and sharp future frames. Inspired by the predictive coding hypothesis and related works, the total model is updated through a combination of bottom-... | [] | Train |
44,048 | 24 | Title: Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
Abstract: Dynamic diagnosis is desirable when medical tests are costly or time-consuming. In this work, we use reinforcement learning (RL) to find a dynamic policy that selects lab test panels sequentially based on previous observations, ensuring a... | [
23137,
35645,
41337
] | Train |
44,049 | 24 | Title: Physics-informed reinforcement learning via probabilistic co-adjustment functions
Abstract: Reinforcement learning of real-world tasks is very data inefficient, and extensive simulation-based modelling has become the dominant approach for training systems. However, in human-robot interaction and many other real-... | [] | Validation |
44,050 | 30 | Title: Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models
Abstract: This project focuses on enhancing open-source large language models through instruction-tuning and providing comprehensive evaluations of their performance. We explore how various training data ... | [
33220,
13700,
38958,
38229,
24053,
38167
] | Train |
44,051 | 24 | Title: Reinforcement Graph Clustering with Unknown Cluster Number
Abstract: Deep graph clustering, which aims to group nodes into disjoint clusters by neural networks in an unsupervised manner, has attracted great attention in recent years. Although the performance has been largely improved, the excellent performance o... | [
931,
12369,
11093,
45942,
187,
24286
] | Train |
44,052 | 17 | Title: Text-guided Image-and-Shape Editing and Generation: A Short Survey
Abstract: Image and shape editing are ubiquitous among digital artworks. Graphics algorithms facilitate artists and designers to achieve desired editing intents without going through manually tedious retouching. In the recent advance of machine l... | [
29536,
15811,
41388,
37135,
36084,
34167,
34074
] | Validation |
44,053 | 24 | Title: GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
Abstract: Accurate prediction models for individual-level endpoints and time-to-endpoints are crucial in clinical practice. In this study, we propose a novel approach, GRU-D-Weibull, which combines gated recurrent units with decay (GRU-D) to mod... | [] | Train |
44,054 | 24 | Title: The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
Abstract: Numerical interactions leading to users sharing textual content published by others are naturally represented by a network where the individuals are associated with the nodes and the exchanged texts wi... | [] | Validation |
44,055 | 16 | Title: Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition
Abstract: Demographic biases in source datasets have been shown as one of the causes of unfairness and discrimination in the predictions of Machine Learning models. One of the most prominent types of demographic bias are statisti... | [] | Validation |
44,056 | 30 | Title: Multi-Modal Perceiver Language Model for Outcome Prediction in Emergency Department
Abstract: Language modeling have shown impressive progress in generating compelling text with good accuracy and high semantic coherence. An interesting research direction is to augment these powerful models for specific applicati... | [] | Train |
44,057 | 23 | Title: Using the uniqueness of global identifiers to determine the provenance of Python software source code
Abstract: nan | [] | Test |
44,058 | 24 | Title: Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group
Abstract: Convolutional neural networks revolutionized computer vision and na-trual language processing. Their efficiency, as compared to fully connected neural networks, has its origin in the architecture, where convo... | [] | Test |
44,059 | 34 | Title: Optimality of Glauber dynamics for general-purpose Ising model sampling and free energy approximation
Abstract: Recently, Eldan, Koehler, and Zeitouni (2020) showed that Glauber dynamics mixes rapidly for general Ising models so long as the difference between the largest and smallest eigenvalues of the coupling ... | [
38973
] | Validation |
44,060 | 6 | Title: Comparing Psychometric and Behavioral Predictors of Compliance During Human-AI Interactions
Abstract: nan | [
38691
] | Test |
44,061 | 31 | Title: Discrete Conditional Diffusion for Reranking in Recommendation
Abstract: Reranking plays a crucial role in modern multi-stage recommender systems by rearranging the initial ranking list to model interplay between items. Considering the inherent challenges of reranking such as combinatorial searching space, some ... | [
14214
] | Train |
44,062 | 16 | Title: Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning
Abstract: Multi-Teacher knowledge distillation provides students with additional supervision from multiple pre-trained teachers with diverse information sources. Most existing methods explore different weighting strategies to obtain a powerful ense... | [
22921
] | Train |
44,063 | 30 | Title: ExpertQA: Expert-Curated Questions and Attributed Answers
Abstract: As language models are adapted by a more sophisticated and diverse set of users, the importance of guaranteeing that they provide factually correct information supported by verifiable sources is critical across fields of study&professions. This ... | [
21127,
22286,
25102,
21011,
15004,
9772,
26549,
31291,
3900,
33220,
31320,
29401,
21593,
230,
9840,
37360,
43641,
41210,
30975
] | Train |
44,064 | 27 | Title: Outlining the design space of eXplainable swarm (xSwarm): experts perspective
Abstract: In swarm robotics, agents interact through local roles to solve complex tasks beyond an individual's ability. Even though swarms are capable of carrying out some operations without the need for human intervention, many safety... | [] | Train |
44,065 | 34 | Title: Deterministic Algorithmic Approaches to Solve Generalised Wordle
Abstract: Wordle is a single-player word-based game where the objective is to guess the 5-letter word in a maximum of 6 tries. The game was released to the public in October 2021 and has since gained popularity with people competing against each ot... | [] | Train |
44,066 | 5 | Title: Coloring Fast with Broadcasts
Abstract: We present an O(log3 log n)-round distributed algorithm for the (Δ + 1)-coloring problem, where each node broadcasts only one O(log n)-bit message per round to its neighbors. Previously, the best such broadcast-based algorithm required O(log n) rounds. If Δ ∈ Ω(log 3 n), o... | [
5305,
31076
] | Validation |
44,067 | 36 | Title: Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach
Abstract: The popularity of Metaverse as an entertainment, social, and work platform has led to a great need for seamless avatar integration in the virtual world. In Metaverse, avatars must be updated and rendered to reflec... | [] | Train |
44,068 | 30 | Title: MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction
Abstract: Cross-lingual open information extraction aims to extract structured information from raw text across multiple languages. Previous work uses a shared cross-lingual pre-trained model to handle the different languages but under... | [
43641,
42393
] | Train |
44,069 | 16 | Title: An Efficient Approximate Method for Online Convolutional Dictionary Learning
Abstract: —Most existing convolutional dictionary learning (CDL) algorithms are based on batch learning, where the dictionary filters and the convolutional sparse representations are optimized in an alternating manner using a training da... | [] | Test |
44,070 | 13 | Title: A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning
Abstract: Humans excel at continually acquiring, consolidating, and retaining information from an ever-changing environment, whereas artificial neural networks (ANNs) exhibit catastrophi... | [] | Train |
44,071 | 11 | Title: Playing to Learn, or to Keep Secret: Alternating-Time Logic Meets Information Theory
Abstract: Many important properties of multi-agent systems refer to the participants' ability to achieve a given goal, or to prevent the system from an undesirable event. Among intelligent agents, the goals are often of epistemi... | [
16326
] | Train |
44,072 | 34 | Title: Upward Planarity Testing of Biconnected Outerplanar DAGs Solves Partition
Abstract: We show an $O(n)$-time reduction from the problem of testing whether a multiset of positive integers can be partitioned into two multisets so that the sum of the integers in each multiset is equal to $n/2$ to the problem of testi... | [] | Validation |
44,073 | 4 | Title: Formal Analysis of the API Proxy Problem
Abstract: Implementing a security mechanism on top of APIs requires clear understanding of the semantics of each API, to ensure that security entitlements are enforced consistently and completely across all APIs that could perform the same function for an attacker. Unfort... | [] | Validation |
44,074 | 4 | Title: Adversarial-Aware Deep Learning System Based on a Secondary Classical Machine Learning Verification Approach
Abstract: Deep learning models have been used in creating various effective image classification applications. However, they are vulnerable to adversarial attacks that seek to misguide the models into pre... | [] | Train |
44,075 | 24 | Title: Optimal and Efficient Binary Questioning for Human-in-the-Loop Annotation
Abstract: Even though data annotation is extremely important for interpretability, research and development of artificial intelligence solutions, most research efforts such as active learning or few-shot learning focus on the sample effici... | [
5017,
4643,
35388
] | Train |
44,076 | 24 | Title: Any Deep ReLU Network is Shallow
Abstract: We constructively prove that every deep ReLU network can be rewritten as a functionally identical three-layer network with weights valued in the extended reals. Based on this proof, we provide an algorithm that, given a deep ReLU network, finds the explicit weights of t... | [
19332,
38325
] | Train |
44,077 | 24 | Title: Using Machine Learning Methods for Automation of Size Grid Building and Management
Abstract: Fashion apparel companies require planning for the next season, a year in advance for supply chain management. This study focuses on size selection decision making for Levi Strauss. Currently, the region and planning gro... | [] | Validation |
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