node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
36,278 | 10 | Title: Principled and Efficient Motif Finding for Structure Learning in Lifted Graphical Models
Abstract: Structure learning is a core problem in AI central to the fields of neuro-symbolic AI and statistical relational learning. It consists in automatically learning a logical theory from data. The basis for structure l... | [
26233
] | Validation |
36,279 | 4 | Title: Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach
Abstract: Data scarcity hinders the usability of data-dependent algorithms when tackling IoT intrusion detection (IID). To address this, we utilize the data-rich network intrusion detection (NID) domain to facilitat... | [
34106,
45811
] | Train |
36,280 | 34 | Title: The Full Landscape of Robust Mean Testing: Sharp Separations between Oblivious and Adaptive Contamination
Abstract: We consider the question of Gaussian mean testing, a fundamental task in high-dimensional distribution testing and signal processing, subject to adversarial corruptions of the samples. We focus on ... | [] | Train |
36,281 | 24 | Title: Federated Learning Over Coupled Graphs
Abstract: Graphs are widely used to represent the relations among entities. When one owns the complete data, an entire graph can be easily built, therefore performing analysis on the graph is straightforward. However, in many scenarios, it is impractical to centralize the d... | [
4301
] | Train |
36,282 | 16 | Title: Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation
Abstract: Data pre-processing for developing a generalised land use and land cover (LULC) deep learning model using earth observation data is important for the classification ... | [] | Train |
36,283 | 24 | Title: Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets
Abstract: nan | [
25511
] | Train |
36,284 | 16 | Title: CVPR MultiEarth 2023 Deforestation Estimation Challenge: SpaceVision4Amazon
Abstract: In this paper, we present a deforestation estimation method based on attention guided UNet architecture using Electro-Optical (EO) and Synthetic Aperture Radar (SAR) satellite imagery. For optical images, Landsat-8 and for SAR ... | [
14698
] | Train |
36,285 | 30 | Title: i-Code Studio: A Configurable and Composable Framework for Integrative AI
Abstract: Artificial General Intelligence (AGI) requires comprehensive understanding and generation capabilities for a variety of tasks spanning different modalities and functionalities. Integrative AI is one important direction to approac... | [
21778
] | Validation |
36,286 | 16 | Title: Generative Image Dynamics
Abstract: We present an approach to modeling an image-space prior on scene dynamics. Our prior is learned from a collection of motion trajectories extracted from real video sequences containing natural, oscillating motion such as trees, flowers, candles, and clothes blowing in the wind.... | [
21625,
42214,
44447,
3690,
18731,
23563,
10991,
38959,
40671,
14515,
16820,
125,
28532,
12665,
954,
5373,
32574,
40985
] | Validation |
36,287 | 28 | Title: Optical Integrated Sensing and Communication
Abstract: This paper explores a new paradigm of optical integrated sensing and communication (O-ISAC). Our investigation reveals that optical communication and optical sensing are two inherently complementary technologies. On the one hand, optical communication provid... | [] | Train |
36,288 | 24 | Title: Online Learning with Adversaries: A Differential Inclusion Analysis
Abstract: We consider the measurement model $Y = AX,$ where $X$ and, hence, $Y$ are random variables and $A$ is an a priori known tall matrix. At each time instance, a sample of one of $Y$'s coordinates is available, and the goal is to estimate ... | [] | Train |
36,289 | 38 | Title: Estimating Bibliometric Links using Google Scholar: A Semi-Systematic Literature Mapping of Migration and Housing
Abstract: As the number of empirical studies increases unprecedentedly in line with expansions in higher education, theoretical developments in population studies suffer due to a discoverability cris... | [] | Train |
36,290 | 17 | Title: Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production
Abstract: Amateurs working on mini-films and short-form videos usually spend lots of time and effort on the multi-round complicated process of setting and adjusting scenes, plots, and cameras to deliver satisfying video sho... | [
25260
] | Validation |
36,291 | 27 | Title: Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections
Abstract: Unsignalized intersections are typically considered as one of the most representative and challenging scenarios for self-driving vehicles. To tackle autonomous driving problems in such sc... | [
24386
] | Train |
36,292 | 36 | Title: The Power of Static Pricing for Reusable Resources
Abstract: We consider the problem of pricing a reusable resource service system. Potential customers arrive according to a Poisson process and purchase the service if their valuation exceeds the current price. If no units are available, customers immediately lea... | [] | Train |
36,293 | 16 | Title: Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks Using Novel Sterile Training Technique
Abstract: In this paper, we investigate novel data collection and training techniques towards improving classification accuracy of non-moving (static) hand gestures using a convolutional neura... | [
6624,
34201,
19848,
5285
] | Validation |
36,294 | 25 | Title: Multimodal Lyrics-Rhythm Matching
Abstract: Despite the recent increase in research on artificial intelligence for music, prominent correlations between key components of lyrics and rhythm such as keywords, stressed syllables, and strong beats are not frequently studied. This is likely due to challenges such as ... | [] | Train |
36,295 | 2 | Title: DisjunctiveProgramming.jl: Generalized Disjunctive Programming Models and Algorithms for JuMP
Abstract: We present a Julia package, DisjunctiveProgramming.jl, that extends the functionality in JuMP.jl to allow modeling problems via logical propositions and disjunctive constraints. Such models can then be reformu... | [] | Test |
36,296 | 10 | Title: Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods
Abstract: We introduce an open-source GitHub repository containing comprehensive benchmarks for a wide range of machine scheduling problems, including Job Shop Scheduling (JSP), Flow Shop Scheduling (FSP), Flexible Jo... | [] | Test |
36,297 | 16 | Title: Feature Mixing for Writer Retrieval and Identification on Papyri Fragments
Abstract: This paper proposes a deep-learning-based approach to writer retrieval and identification for papyri, with a focus on identifying fragments associated with a specific writer and those corresponding to the same image. We present ... | [] | Test |
36,298 | 16 | Title: CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data
Abstract: LiDAR-based place recognition (LPR) is one of the most crucial components of autonomous vehicles to identify previously visited places in GPS-denied environments. Most existing LPR methods use mundane representations of the... | [
4883,
46151
] | Test |
36,299 | 27 | Title: Evaluation of Legged Robot Landing Capability Under Aggressive Linear and Angular Velocities
Abstract: This paper proposes a method to evaluate the capability of aggressive legged robot landing under significant touchdown linear and angular velocities upon impact. Our approach builds upon the Planar Inverted Pen... | [
9754
] | Test |
36,300 | 6 | Title: Automatically detecting activities of daily living from in-home sensors as indicators of routine behaviour in an older population
Abstract: Objective The NEX project has developed an integrated Internet of Things (IoT) system coupled with data analytics to offer unobtrusive health and wellness monitoring support... | [
39971
] | Test |
36,301 | 34 | Title: Submodularity Gaps for Selected Network Design and Matching Problems
Abstract: Submodularity in combinatorial optimization has been a topic of many studies and various algorithmic techniques exploiting submodularity of a studied problem have been proposed. It is therefore natural to ask, in cases where the cost ... | [] | Validation |
36,302 | 16 | Title: A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
Abstract: Single-image 3D reconstruction is a research challenge focused on predicting 3D object shapes from single-view images. This task requires significant data acquisition to predict both visible and occluded... | [
14842
] | Validation |
36,303 | 24 | Title: Pb-Hash: Partitioned b-bit Hashing
Abstract: Many hashing algorithms including minwise hashing (MinHash), one permutation hashing (OPH), and consistent weighted sampling (CWS) generate integers of $B$ bits. With $k$ hashes for each data vector, the storage would be $B\times k$ bits; and when used for large-scale... | [
8241
] | Train |
36,304 | 3 | Title: The social stratification of internal migration and daily mobility during the COVID-19 pandemic
Abstract: This study leverages mobile phone data for 5.4 million users to unveil the complex dynamics of internal migration and daily mobility in Santiago de Chile during the global COVID-19 pandemic, with a focus on ... | [] | Train |
36,305 | 2 | Title: Distributed Autoepistemic Logic: Semantics, Complexity, and Applications to Access Control
Abstract: In this paper we define and study a multi-agent extension of autoepistemic logic (AEL) called distributed autoepistemic logic (dAEL). We define the semantics of dAEL using approximation fixpoint theory, an abstra... | [] | Train |
36,306 | 24 | Title: Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search
Abstract: In the field of security, multi-objective security games (MOSGs) allow defenders to simultaneously protect targets from multiple heterogeneous attackers. MOSGs aim to simultaneously maximize all the heter... | [] | Validation |
36,307 | 27 | Title: Aligning Robot and Human Representations
Abstract: To act in the world, robots rely on a representation of salient task aspects: for example, to carry a cup of coffee, a robot must consider movement efficiency and cup orientation in its behaviour. However, if we want robots to act for and with people, their repr... | [
24322,
45923,
28356,
29578
] | Train |
36,308 | 16 | Title: Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
Abstract: Instance segmentation in 3D is a challenging task due to the lack of large-scale annotated datasets. In this paper, we show that this task can be addressed effectively by leveraging instead 2D pre-trained models for insta... | [
41400,
31345,
24399
] | Validation |
36,309 | 36 | Title: Generalized Veto Core and a Practical Voting Rule with Optimal Metric Distortion
Abstract: We revisit the recent breakthrough result of Gkatzelis et al. on (single-winner) metric voting, which showed that the optimal distortion of 3 can be achieved by a mechanism called PluralityMatching. The rule picks an arbit... | [
5576,
3145,
16264,
37235,
33496,
987
] | Train |
36,310 | 17 | Title: Shape2SAS – a web application to simulate small-angle scattering data and pair distance distributions from user-defined shapes
Abstract: Shape2SAS is a web application that allows researchers and students to build intuition and understanding of small-angle scattering. It is available at https://somo.chem.utk.edu... | [] | Test |
36,311 | 24 | Title: Active-Learning-Driven Surrogate Modeling for Efficient Simulation of Parametric Nonlinear Systems
Abstract: When repeated evaluations for varying parameter configurations of a high-fidelity physical model are required, surrogate modeling techniques based on model order reduction are desired. In absence of the g... | [] | Validation |
36,312 | 23 | Title: Traceability and Reuse Mechanisms, the most important Properties of Model Transformation Languages
Abstract: Dedicated model transformation languages are claimed to provide many benefits over the use of general purpose languages for developing model transformations. However, the actual advantages associated with... | [] | Train |
36,313 | 4 | Title: A One-dimensional HEVC video steganalysis method using the Optimality of Predicted Motion Vectors
Abstract: Among steganalysis techniques, detection against motion vector (MV) domain-based video steganography in High Efficiency Video Coding (HEVC) standard remains a hot and challenging issue. For the purpose of ... | [] | Train |
36,314 | 24 | Title: Graph Neural Stochastic Differential Equations
Abstract: We present a novel model Graph Neural Stochastic Differential Equations (Graph Neural SDEs). This technique enhances the Graph Neural Ordinary Differential Equations (Graph Neural ODEs) by embedding randomness into data representation using Brownian motion... | [
42867,
33797,
17262
] | Train |
36,315 | 30 | Title: Meta predictive learning model of natural languages
Abstract: Large language models based on self-attention mechanisms have achieved astonishing performances not only in natural language itself, but also in a variety of tasks of different nature. However, regarding processing language, our human brain may not op... | [
19720,
13510,
5510
] | Test |
36,316 | 24 | Title: New Designed Loss Functions to Solve Ordinary Differential Equations with Artificial Neural Network
Abstract: This paper investigates the use of artificial neural networks (ANNs) to solve differential equations (DEs) and the construction of the loss function which meets both differential equation and its initial... | [] | Test |
36,317 | 23 | Title: Measuring the Runtime Performance of Code Produced with GitHub Copilot
Abstract: GitHub Copilot is an artificially intelligent programming assistant used by many developers. While a few studies have evaluated the security risks of using Copilot, there has not been any study to show if it aids developers in produ... | [
22097
] | Validation |
36,318 | 6 | Title: INDCOR white paper 3: Interactive Digital Narratives and Interaction
Abstract: The nature of interaction within Interactive Digital Narrative (IDN) is inherently complex. This is due, in part, to the wide range of potential interaction modes through which IDNs can be conceptualised, produced and deployed and the... | [
33935,
44079,
18789,
30943
] | Train |
36,319 | 30 | Title: Fine-Tuning BERT with Character-Level Noise for Zero-Shot Transfer to Dialects and Closely-Related Languages
Abstract: In this work, we induce character-level noise in various forms when fine-tuning BERT to enable zero-shot cross-lingual transfer to unseen dialects and languages. We fine-tune BERT on three sente... | [
21574
] | Validation |
36,320 | 24 | Title: MOSAIC, acomparison framework for machine learning models
Abstract: We introduce MOSAIC , a Python program for machine learning models. Our framework is developed with in mind accelerating machine learning studies through making imple-menting and testing arbitrary network architectures and data sets simpler, fas... | [] | Validation |
36,321 | 16 | Title: SGFeat: Salient Geometric Feature for Point Cloud Registration
Abstract: Point Cloud Registration (PCR) is a critical and challenging task in computer vision. One of the primary difficulties in PCR is identifying salient and meaningful points that exhibit consistent semantic and geometric properties across diffe... | [
21561
] | Train |
36,322 | 16 | Title: Induction Network: Audio-Visual Modality Gap-Bridging for Self-Supervised Sound Source Localization
Abstract: Self-supervised sound source localization is usually challenged by the modality inconsistency. In recent studies, contrastive learning based strategies have shown promising to establish such a consistent... | [
35274,
35791
] | Train |
36,323 | 16 | Title: Real-time Strawberry Detection Based on Improved YOLOv5s Architecture for Robotic Harvesting in open-field environment
Abstract: This study proposed a YOLOv5-based custom object detection model to detect strawberries in an outdoor environment. The original architecture of the YOLOv5s was modified by replacing th... | [] | Validation |
36,324 | 36 | Title: Matching Algorithms under Diversity-Based Reservations
Abstract: Selection under category or diversity constraints is a ubiquitous and widely-applicable problem that is encountered in immigration, school choice, hiring, and healthcare rationing. These diversity constraints are typically represented by minimum an... | [] | Test |
36,325 | 30 | Title: Label Agnostic Pre-training for Zero-shot Text Classification
Abstract: Conventional approaches to text classification typically assume the existence of a fixed set of predefined labels to which a given text can be classified. However, in real-world applications, there exists an infinite label space for describi... | [] | Validation |
36,326 | 23 | Title: Enhancing Trace Visualizations for Microservices Performance Analysis
Abstract: Performance analysis of microservices can be a challenging task, as a typical request to these systems involves multiple Remote Procedure Calls (RPC) spanning across independent services and machines. Practitioners primarily rely on ... | [] | Train |
36,327 | 16 | Title: ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction
Abstract: This paper proposes a hybrid radiance field representation for unbounded immersive light field reconstruction which supports high-quality rendering and aggressive view extrapolation. The key idea is to first formal... | [
3672,
11206
] | Train |
36,328 | 16 | Title: Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation
Abstract: The Segment Anything Model (SAM) has rapidly been adopted for segmenting a wide range of natural images. However, recent studies have indicated that SAM exhibits subpar performance on 3D medical image segmentation tasks. In addition t... | [
17633,
4643,
19907,
3782,
5864,
6089
] | Validation |
36,329 | 23 | Title: CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts
Abstract: The increased adoption of smart contracts in many industries has made them an attractive target for cybercriminals, leading to millions of dollars in losses. Thus, deploying smart contracts with detected vulnerabilitie... | [] | Train |
36,330 | 24 | Title: FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder
Abstract: Latest federated learning (FL) methods started to focus on how to use unlabeled data in clients for training due to users' privacy concerns, high labeling costs, or lack of expertise. However, current Federated Semi-Supervise... | [] | Train |
36,331 | 15 | Title: Performance Study of Partitioned Caches in Asymmetric Multi-Core Processors
Abstract: The current workloads and applications are highly diversified, facing critical challenges such as the Power Wall and the Memory Wall Problem. Different strategies over the multiple levels of Caches have evolved to mitigate thes... | [
27783
] | Train |
36,332 | 16 | Title: ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion
Abstract: Point cloud completion addresses filling in the missing parts of a partial point cloud obtained from depth sensors and generating a complete point cloud. Although there has been steep progress in the supervised methods on t... | [
6925
] | Train |
36,333 | 4 | Title: The special case of cyclotomic fields in quantum algorithms for unit groups
Abstract: Unit group computations are a cryptographic primitive for which one has a fast quantum algorithm, but the required number of qubits is $\tilde O(m^5)$. In this work we propose a modification of the algorithm for which the numbe... | [] | Test |
36,334 | 25 | Title: Speaker Recognition in Realistic Scenario Using Multimodal Data
Abstract: In recent years, an association is established between faces and voices of celebrities leveraging large scale audio-visual information from YouTube. The availability of large scale audio-visual datasets is instrumental in developing speake... | [
15929
] | Test |
36,335 | 16 | Title: Addressing Negative Transfer in Diffusion Models
Abstract: Diffusion-based generative models have achieved remarkable success in various domains. It trains a model on denoising tasks that encompass different noise levels simultaneously, representing a form of multi-task learning (MTL). However, analyzing and imp... | [
12515
] | Validation |
36,336 | 24 | Title: Distributed LSTM-Learning from Differentially Private Label Proportions
Abstract: Data privacy and decentralised data collection has become more and more popular in recent years. In order to solve issues with privacy, communication bandwidth and learning from spatio-temporal data, we will propose two efficient m... | [] | Test |
36,337 | 25 | Title: ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
Abstract: In recent years, there has been an increased popularity in image and speech generation using diffusion models. However, directly generating music waveforms from free-form text prompts is still under-explored. In this paper, we propose... | [] | Train |
36,338 | 24 | Title: Re-formalization of Individual Fairness
Abstract: The notion of individual fairness is a formalization of an ethical principle,"Treating like cases alike,"which has been argued such as by Aristotle. In a fairness-aware machine learning context, Dwork et al. firstly formalized the notion. In their formalization, ... | [] | Test |
36,339 | 25 | Title: Time-domain Speech Enhancement Assisted by Multi-resolution Frequency Encoder and Decoder
Abstract: Time-domain speech enhancement (SE) has recently been intensively investigated. Among recent works, DEMUCS introduces multi-resolution STFT loss to enhance performance. However, some resolutions used for STFT cont... | [
993
] | Validation |
36,340 | 25 | Title: Rethinking the visual cues in audio-visual speaker extraction
Abstract: The Audio-Visual Speaker Extraction (AVSE) algorithm employs parallel video recording to leverage two visual cues, namely speaker identity and synchronization, to enhance performance compared to audio-only algorithms. However, the visual fro... | [] | Train |
36,341 | 30 | Title: RADAR: Robust AI-Text Detection via Adversarial Learning
Abstract: Recent advances in large language models (LLMs) and the intensifying popularity of ChatGPT-like applications have blurred the boundary of high-quality text generation between humans and machines. However, in addition to the anticipated revolution... | [
19335,
22476,
497,
38235,
25367,
44603,
315
] | Test |
36,342 | 8 | Title: ESCM: An Efficient and Secure Communication Mechanism for UAV Networks
Abstract: UAV (unmanned aerial vehicle) is rapidly gaining traction in various human activities and has become an integral component of the satellite-air-ground-sea (SAGS) integrated network. As high-speed moving objects, UAVs not only have e... | [
40188
] | Test |
36,343 | 24 | Title: Modularity Trumps Invariance for Compositional Robustness
Abstract: By default neural networks are not robust to changes in data distribution. This has been demonstrated with simple image corruptions, such as blurring or adding noise, degrading image classification performance. Many methods have been proposed to... | [
19720,
32249,
44426,
12205
] | Train |
36,344 | 36 | Title: Regret-Minimizing Double Oracle for Extensive-Form Games
Abstract: By incorporating regret minimization, double oracle methods have demonstrated rapid convergence to Nash Equilibrium (NE) in normal-form games and extensive-form games, through algorithms such as online double oracle (ODO) and extensive-form doubl... | [] | Train |
36,345 | 38 | Title: Two indicators rule them all: Mean and standard deviation used to calculate other journal indicators based on lognormal distribution of citation counts
Abstract: Two journal-level indicators, respectively the mean ($m^i$) and the standard deviation ($v^i$) are proposed to be the core indicators of each journal a... | [] | Train |
36,346 | 24 | Title: On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
Abstract: Safety has been a critical issue for the deployment of learning-based approaches in real-world applications. To address this issue, control barrier function (CBF) and its variants have attrac... | [] | Train |
36,347 | 28 | Title: Downlink Transmission under Heterogeneous Blocklength Constraints: Discrete Signaling with Single-User Decoding
Abstract: In this paper, we consider the downlink broadcast channel under heterogenous blocklength constraints, where each user experiences different interference statistics across its received symbols... | [] | Train |
36,348 | 23 | Title: A Blockchain-Based Framework for Distributed Agile Software Testing Life Cycle
Abstract: A blockchain-based framework for distributed agile software testing life cycle is an innovative approach that uses blockchain technology to optimize the software testing process. Previously, various methods were employed to ... | [] | Train |
36,349 | 10 | Title: Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers
Abstract: While transformers have gained the reputation as the"Swiss army knife of AI", no one has challenged them to master the game of chess, one of the classical AI benchmarks. Simply using vision transformers (ViTs) within Alp... | [
23307
] | Validation |
36,350 | 6 | Title: Streaming Software Development: Accountability, Community, and Learning
Abstract: nan | [] | Test |
36,351 | 23 | Title: Patterns in Docker Compose Multi-Container Orchestration
Abstract: Software design patterns present general code solutions to common software design problems. Modern software systems rely heavily on containers for organizing and orchestrating their constituent service components. Yet, despite the prevalence of r... | [] | Train |
36,352 | 16 | Title: Training-Free Instance Segmentation from Semantic Image Segmentation Masks
Abstract: In recent years, the development of instance segmentation has garnered significant attention in a wide range of applications. However, the training of a fully-supervised instance segmentation model requires costly both instance-... | [
2984,
32417
] | Train |
36,353 | 2 | Title: A Natural Intuitionistic Modal Logic: Axiomatization and Bi-nested Calculus
Abstract: We introduce FIK, a natural intuitionistic modal logic specified by Kripke models satisfying the condition of forward confluence. We give a complete Hilbert-style axiomatization of this logic and propose a bi-nested calculus fo... | [] | Train |
36,354 | 30 | Title: Shades of meaning: Uncovering the geometry of ambiguous word representations through contextualised language models
Abstract: Lexical ambiguity presents a profound and enduring challenge to the language sciences. Researchers for decades have grappled with the problem of how language users learn, represent and pr... | [] | Train |
36,355 | 24 | Title: Online estimation methods for irregular autoregressive models
Abstract: In the last decades, due to the huge technological growth observed, it has become increasingly common that a collection of temporal data rapidly accumulates in vast amounts. This provides an opportunity for extracting valuable information th... | [] | Train |
36,356 | 30 | Title: Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis
Abstract: In recent years, language models (LMs) have made remarkable progress in advancing the field of natural language processing (NLP). However, the impact of data augmentation (DA) techniques on the fine-tuning (FT) performance of th... | [
32456,
36746,
27309,
1007,
37463,
39992
] | Validation |
36,357 | 4 | Title: Manifesting Unobtainable Secrets: Threshold Elliptic Curve Key Generation using Nested Shamir Secret Sharing
Abstract: We present a mechanism to manifest unobtainable secrets using a nested Shamir secret sharing scheme to create public/private key pairs for elliptic curves. A threshold secret sharing scheme can ... | [] | Test |
36,358 | 17 | Title: DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation
Abstract: When hearing music, it is natural for people to dance to its rhythm. Automatic dance generation, however, is a challenging task due to the physical constraints of human motion and rhythmic alignment with target music. Conventional au... | [] | Train |
36,359 | 16 | Title: On the Effectiveness of Image Manipulation Detection in the Age of Social Media
Abstract: Image manipulation detection algorithms designed to identify local anomalies often rely on the manipulated regions being ``sufficiently'' different from the rest of the non-tampered regions in the image. However, such anoma... | [] | Test |
36,360 | 17 | Title: LEAVEN - Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations
Abstract: We present an easy-to-use and lightweight surface and volume mesh sampling standalone application tailored for the needs of particle-based simulation. We describe the surface and volume sampling algorithms ... | [
22203
] | Train |
36,361 | 25 | Title: Range-Based Equal Error Rate for Spoof Localization
Abstract: Spoof localization, also called segment-level detection, is a crucial task that aims to locate spoofs in partially spoofed audio. The equal error rate (EER) is widely used to measure performance for such biometric scenarios. Although EER is the only t... | [] | Test |
36,362 | 3 | Title: Difficult Lessons on Social Prediction from Wisconsin Public Schools
Abstract: Early warning systems (EWS) are predictive tools at the center of recent efforts to improve graduation rates in public schools across the United States. These systems assist in targeting interventions to individual students by predict... | [
14215
] | Validation |
36,363 | 22 | Title: Set-theoretic Types for Erlang
Abstract: Erlang is a functional programming language with dynamic typing. The language offers great flexibility for destructing values through pattern matching and dynamic type tests. Erlang also comes with a type language supporting parametric polymorphism, equi-recursive types, ... | [
40684
] | Train |
36,364 | 15 | Title: Collaborative Acceleration for FFT on Commercial Processing-In-Memory Architectures
Abstract: This paper evaluates the efficacy of recent commercial processing-in-memory (PIM) solutions to accelerate fast Fourier transform (FFT), an important primitive across several domains. Specifically, we observe that effici... | [] | Validation |
36,365 | 16 | Title: SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
Abstract: Multiple Instance learning (MIL) models have been extensively used in pathology to predict biomarkers and risk-stratify patients from gigapixel-sized images. Machine learning problems in medical imaging... | [] | Train |
36,366 | 24 | Title: How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
Abstract: Tensor decompositions have been successfully applied to compress neural networks. The compression algorithms using tensor decompositions commonly minimize the approximation error on the weights. Recent ... | [] | Train |
36,367 | 30 | Title: LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
Abstract: Can a Large Language Model (LLM) solve simple abstract reasoning problems? We explore this broad question through a systematic analysis of GPT on the Abstraction and Reasoning Corpus (... | [
7936,
634,
13510,
13223
] | Train |
36,368 | 9 | Title: Bounds on BDD-Based Bucket Elimination
Abstract: We study BDD-based bucket elimination, an approach to satisfiability testing using variable elimination which has seen several practical implementations in the past. We prove that it allows solving the standard pigeonhole principle formulas efficiently, when allow... | [
9289
] | Train |
36,369 | 30 | Title: CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
Abstract: Dataset bias, i.e., the over-reliance on dataset-specific literal heuristics, is getting increasing attention for its detrimental effect on the generalization ability of NLU models. Existing works focus on eliminating dataset bias by do... | [] | Train |
36,370 | 24 | Title: Random projection forest initialization for graph convolutional networks
Abstract: nan | [
19728
] | Test |
36,371 | 6 | Title: Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities
Abstract: Human-AI decision making is becoming increasingly ubiquitous, and explanations have been proposed to facilitate better Human-AI interactions. Recent research has investigated th... | [] | Test |
36,372 | 30 | Title: XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
Abstract: Lack of encyclopedic text contributors, especially on Wikipedia, makes automated text generation for low resource (LR) languages a critical problem. Existing work on Wikipedia text generation has focused on... | [] | Train |
36,373 | 27 | Title: Haptic Guidance and Haptic Error Amplification in a Virtual Surgical Robotic Training Environment
Abstract: Teleoperated robotic systems have introduced more intuitive control for minimally invasive surgery, but the optimal method for training remains unknown. Recent motor learning studies have demonstrated that... | [] | Train |
36,374 | 24 | Title: Message-passing selection: Towards interpretable GNNs for graph classification
Abstract: In this paper, we strive to develop an interpretable GNNs' inference paradigm, termed MSInterpreter, which can serve as a plug-and-play scheme readily applicable to various GNNs' baselines. Unlike the most existing explanati... | [
28964,
21069
] | Test |
36,375 | 14 | Title: Pourchet’s theorem in action: decomposing univariate nonnegative polynomials as sums of five squares
Abstract: Pourchet proved in 1971 that every nonnegative univariate polynomial with rational coefficients is a sum of five or fewer squares. Nonetheless, there are no known algorithms for constructing such a deco... | [] | Train |
36,376 | 28 | Title: Joint Compression and Deadline Optimization for Wireless Federated Learning
Abstract: Federated edge learning (FEEL) is a popular distributed learning framework for privacy-preserving at the edge, in which densely distributed edge devices periodically exchange model-updates with the server to complete the global... | [] | Validation |
36,377 | 16 | Title: Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar
Abstract: Current perception models for different tasks usually exist in modular forms on Unmanned Surface Vehicles (USVs), which infer extremely slowly in parallel on edge devices, causin... | [
6621
] | Train |
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