Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
39,378	31	Title: Conformal Group Recommender System Abstract: Group recommender systems (GRS) are critical in discovering relevant items from a near-infinite inventory based on group preferences rather than individual preferences, like recommending a movie, restaurant, or tourist destination to a group of individuals. The tradit...	[]	Train
39,379	6	Title: Personalized Cognitive Tutoring using Davinci-003 API for Adaptive Question Generation and Assessment Abstract: This paper presents a cognitive tutor powered by Davinci 003 API that generates and evaluates personalized questions for students on any topic they choose. The tutor adapts to the student's level of un...	[]	Train
39,380	16	Title: DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection Abstract: Generalized few-shot object detection aims to achieve precise detection on both base classes with abundant annotations and novel classes with limited training data. Existing approaches enhance few-shot generalizatio...	[ 27209, 15525 ]	Train
39,381	16	Title: EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization Abstract: This paper presents a simple yet effective approach that improves continual test-time adaptation (TTA) in a memory-efficient manner. TTA may primarily be conducted on edge devices with limited memory, so reducing ...	[ 43608, 25107, 38933, 45973, 7064, 13465, 14618 ]	Test
39,382	16	Title: Chatting Makes Perfect - Chat-based Image Retrieval Abstract: Chats emerge as an effective user-friendly approach for information retrieval, and are successfully employed in many domains, such as customer service, healthcare, and finance. However, existing image retrieval approaches typically address the case of...	[ 10624, 3609, 45685, 11113 ]	Train
39,383	30	Title: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models Abstract: This study investigates machine translation between related languages i.e., languages within the same family that share similar linguistic traits such as word order and lexical similarity. Machine transla...	[]	Test
39,384	16	Title: Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos Abstract: Recognizing the activities, causing distraction, in real-world driving scenarios is critical for ensuring the safety and reliability of both drivers and pedestrians on the roadways. Conventional computer vision tech...	[]	Train
39,385	34	Title: Total Variation Distance Estimation Is as Easy as Probabilistic Inference Abstract: In this paper, we establish a novel connection between total variation (TV) distance estimation and probabilistic inference. In particular, we present an efficient, structure-preserving reduction from relative approximation of TV...	[ 39458, 5132 ]	Train
39,386	27	Title: Hierarchical Relaxation of Safety-critical Controllers: Mitigating Contradictory Safety Conditions with Application to Quadruped Robots Abstract: The safety-critical control of robotic systems often must account for multiple, potentially conflicting, safety constraints. This paper proposes novel relaxation techn...	[ 3716 ]	Test
39,387	3	Title: Building a Resilient Cybersecurity Posture: A Framework for Leveraging Prevent, Detect and Respond Functions and Law Enforcement Collaboration Abstract: This research paper proposes a framework for building a resilient cybersecurity posture that leverages prevent, detect, and respond functions and law enforcemen...	[]	Test
39,388	30	Title: TRESTLE: Toolkit for Reproducible Execution of Speech, Text and Language Experiments Abstract: The evidence is growing that machine and deep learning methods can learn the subtle differences between the language produced by people with various forms of cognitive impairment such as dementia and cognitively health...	[]	Train
39,389	3	Title: Towards a conceptual model for the FAIR Digital Object Framework Abstract: The FAIR principles define a number of expected behaviours for the data and services ecosystem with the goal of improving the findability, accessibility, interoperability, and reusability of digital objects. A key aspiration of the princi...	[]	Train
39,390	34	Title: Robust Topological Orderings for Directed Graphs Abstract: We modify the Pearce-Kelly algorithm that maintains a topological ordering for a directed acyclic graph in order to allow cycles to be tolerated. Cycles make topological orderings moot, of course, however tolerating them is useful in practice. A user may...	[]	Train
39,391	10	Title: Declarative Probabilistic Logic Programming in Discrete-Continuous Domains Abstract: Over the past three decades, the logic programming paradigm has been successfully expanded to support probabilistic modeling, inference and learning. The resulting paradigm of probabilistic logic programming (PLP) and its progra...	[]	Test
39,392	30	Title: AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators Abstract: Many natural language processing (NLP) tasks rely on labeled data to train machine learning models to achieve high performance. However, data annotation can be a time-consuming and expensive process, especially when the task inv...	[ 7904, 14592, 33603, 13700, 35621, 3431, 18535, 39273, 16302, 3280, 28369, 13139, 116, 25075, 31189, 23580, 17342 ]	Validation
39,393	16	Title: Prompt-Based Tuning of Transformer Models for Multi-Center Medical Image Segmentation of Head and Neck Cancer Abstract: Medical image segmentation is a vital healthcare endeavor requiring precise and efficient models for appropriate diagnosis and treatment. Vision transformer (ViT)-based segmentation models have...	[]	Train
39,394	28	Title: Orthogonal Constant-Amplitude Sequence Families for System Parameter Identification in Spectrally Compact OFDM Abstract: In rectangularly-pulsed orthogonal frequency division multiplexing (OFDM) systems, constant-amplitude (CA) sequences are desirable to construct preamble/pilot waveforms to facilitate system pa...	[]	Train
39,395	30	Title: Agent-based simulation of pedestrians' earthquake evacuation; application to Beirut, Lebanon Abstract: Most seismic risk assessment methods focus on estimating the damages to the built environment and the consequent socioeconomic losses without fully taking into account the social aspect of risk. Yet, human beha...	[]	Validation
39,396	24	Title: Fair Attribute Completion on Graph with Missing Attributes Abstract: Tackling unfairness in graph learning models is a challenging task, as the unfairness issues on graphs involve both attributes and topological structures. Existing work on fair graph learning simply assumes that attributes of all nodes are avai...	[]	Validation
39,397	30	Title: Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension Abstract: Machine reading comprehension (MRC) poses new challenges to logical reasoning, which aims to understand the implicit logical relations entailed in the given contexts and perform inference over th...	[]	Train
39,398	16	Title: Selecting the motion ground truth for loose-fitting wearables: benchmarking optical MoCap methods Abstract: To help smart wearable researchers choose the optimal ground truth methods for motion capturing (MoCap) for all types of loose garments, we present a benchmark, DrapeMoCapBench (DMCB), specifically designe...	[ 16483 ]	Train
39,399	24	Title: Towards Unbiased Exploration in Partial Label Learning Abstract: We consider learning a probabilistic classifier from partially-labelled supervision (inputs denoted with multiple possibilities) using standard neural architectures with a softmax as the final layer. We identify a bias phenomenon that can arise fro...	[]	Train
39,400	16	Title: ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition Abstract: Sign languages are used as a primary language by approximately 70 million D/deaf people world-wide. However, most communication technologies operate in spoken and written languages, creating inequities in access. ...	[]	Train
39,401	17	Title: Multiple-bounce Smith Microfacet BRDFs using the Invariance Principle Abstract: Smith microfacet models are widely used in computer graphics to represent materials. Traditional microfacet models do not consider the multiple bounces on microgeometries, leading to visible energy missing, especially on rough surfac...	[]	Train
39,402	4	Title: Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection Abstract: Cybersecurity has emerged as a critical challenge for the industry. With the large complexity of the security landscape, sophisticated and costly deep learning models often fail to provide timely de...	[ 42344, 636 ]	Train
39,403	16	Title: TransHP: Image Classification with Hierarchical Prompting Abstract: This paper explores a hierarchical prompting mechanism for the hierarchical image classification (HIC) task. Different from prior HIC methods, our hierarchical prompting is the first to explicitly inject ancestor-class information as a tokenized...	[]	Train
39,404	16	Title: Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations Abstract: In recent years, discriminative self-supervised methods have made significant strides in advancing various visual tasks. The central idea of learning a data encoder that is robust to data distortions/augmentation...	[]	Test
39,405	30	Title: Putting Natural in Natural Language Processing Abstract: Human language is firstly spoken and only secondarily written. Text, however, is a very convenient and efficient representation of language, and modern civilization has made it ubiquitous. Thus the field of NLP has overwhelmingly focused on processing writ...	[ 36685 ]	Train
39,406	36	Title: Gradient Dynamics in Linear Quadratic Network Games with Time-Varying Connectivity and Population Fluctuation Abstract: In this paper, we consider a learning problem among non-cooperative agents interacting in a time-varying system. Specifically, we focus on repeated linear quadratic network games, in which the ...	[ 16276 ]	Test
39,407	24	Title: Oracle Efficient Online Multicalibration and Omniprediction Abstract: A recent line of work has shown a surprising connection between multicalibration, a multi-group fairness notion, and omniprediction, a learning paradigm that provides simultaneous loss minimization guarantees for a large family of loss functio...	[ 19937, 37106, 4075, 30047 ]	Train
39,408	27	Title: Decentralised Active Perception in Continuous Action Spaces for the Coordinated Escort Problem Abstract: We consider the coordinated escort problem, where a decentralised team of supporting robots implicitly assist the mission of higher-value principal robots. The defining challenge is how to evaluate the effect...	[]	Train
39,409	30	Title: Lexical Diversity in Kinship Across Languages and Dialects Abstract: Languages are known to describe the world in diverse ways. Across lexicons, diversity is pervasive, appearing through phenomena such as lexical gaps and untranslatability. However, in computational resources, such as multilingual lexical databa...	[ 24085, 41967 ]	Train
39,410	10	Title: Memory-Augmented Theory of Mind Network Abstract: Social reasoning necessitates the capacity of theory of mind (ToM), the ability to contextualise and attribute mental states to others without having access to their internal cognitive structure. Recent machine learning approaches to ToM have demonstrated that we...	[ 10225 ]	Train
39,411	26	Title: Localization of Events Using Neural Networks in Twitter Data Abstract: Twitter (one example of microblogging) is widely being used by researchers to understand human behavior, specifically how people behave when a significant event occurs and how it changes user microblogging patterns. The changing microblogging...	[ 17679 ]	Train
39,412	24	Title: Learning Strong Graph Neural Networks with Weak Information Abstract: Graph Neural Networks (GNNs) have exhibited impressive performance in many graph learning tasks. Nevertheless, the performance of GNNs can deteriorate when the input graph data suffer from weak information, i.e., incomplete structure, incomple...	[ 44122, 10139, 18511 ]	Train
39,413	3	Title: AI model GPT-3 (dis)informs us better than humans Abstract: Artificial intelligence (AI) is changing the way we create and evaluate information, and this is happening during an infodemic, which has been having marked effects on global health. Here, we evaluate whether recruited individuals can distinguish disinf...	[ 9252, 12487, 27945, 4558, 20756, 19255, 10749 ]	Validation
39,414	24	Title: Invertible Low-Dimensional Modelling of X-ray Absorption Spectra for Potential Applications in Spectral X-ray Imaging Abstract: X-ray interaction with matter is an energy-dependent process that is contingent on the atomic structure of the constituent material elements. The most advanced models to capture this re...	[]	Train
39,415	24	Title: DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation Abstract: Formal certification of Neural Networks (NNs) is crucial for ensuring their safety, fairness, and robustness. Unfortunately, on the one hand, sound and complete certif...	[]	Train
39,416	27	Title: Natural Language Instructions for Intuitive Human Interaction with Robotic Assistants in Field Construction Work Abstract: The introduction of robots is widely considered to have significant potential of alleviating the issues of worker shortage and stagnant productivity that afflict the construction industry. H...	[]	Train
39,417	4	Title: Randomized algorithms for precise measurement of differentially-private, personalized recommendations Abstract: Personalized recommendations form an important part of today's internet ecosystem, helping artists and creators to reach interested users, and helping users to discover new and engaging content. Howeve...	[]	Train
39,418	24	Title: Towards Constituting Mathematical Structures for Learning to Optimize Abstract: Learning to Optimize (L2O), a technique that utilizes machine learning to learn an optimization algorithm automatically from data, has gained arising attention in recent years. A generic L2O approach parameterizes the iterative updat...	[]	Train
39,419	16	Title: Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches Abstract: Multispectral imagery is frequently incorporated into agricultural tasks, providing valuable support for applications such as image segmentation, crop monitoring, field robotics, and yield estimation. From an im...	[]	Validation
39,420	16	Title: Carrot Cure: A CNN based Application to Detect Carrot Disease Abstract: Carrot is a famous nutritional vegetable and developed all over the world. Different diseases of Carrot has become a massive issue in the carrot production circle which leads to a tremendous effect on the economic growth in the agricultural ...	[ 25135 ]	Train
39,421	16	Title: Encode-Store-Retrieve: Enhancing Memory Augmentation through Language-Encoded Egocentric Perception Abstract: We depend on our own memory to encode, store, and retrieve our experiences. However, memory lapses can occur. One promising avenue for achieving memory augmentation is through the use of augmented realit...	[ 41104, 5361, 37987, 13345 ]	Test
39,422	16	Title: HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization Abstract: Sparse neural networks are a key factor in developing resource-efficient machine learning applications. We propose the novel and powerful sparse learning method Adaptive Regularized Training (ART) to compr...	[ 4043, 41735 ]	Test
39,423	28	Title: Deep Reinforcement Learning for mmWave Initial Beam Alignment Abstract: We investigate the applicability of deep reinforcement learning algorithms to the adaptive initial access beam alignment problem for mmWave communications using the state-of-the-art proximal policy optimization algorithm as an example. In co...	[]	Train
39,424	33	Title: Supervisory Control of Modular Discrete-Event Systems under Partial Observation: Normality Abstract: Complex systems are often composed of many small communicating components called modules. We investigate the synthesis of supervisory controllers for modular systems under partial observation that, as the closed-...	[]	Train
39,425	24	Title: Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution Abstract: We address the task of probabilistic anomaly attribution in the black-box regression setting, where the goal is to compute the probability distribution of the attribution score of each input variable, given an observed ano...	[]	Validation
39,426	27	Title: RaPlace: Place Recognition for Imaging Radar using Radon Transform and Mutable Threshold Abstract: Due to the robustness in sensing, radar has been highlighted, overcoming harsh weather conditions such as fog and heavy snow. In this paper, we present a novel radar-only place recognition that measures the similar...	[]	Train
39,427	27	Title: FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation Abstract: Reinforcement learning (RL), imitation learning (IL), and task and motion planning (TAMP) have demonstrated impressive performance across various robotic manipulation tasks. However, these approaches have been limit...	[]	Train
39,428	36	Title: Incentive Mechanism Design for Federated Learning and Unlearning Abstract: To protect users' right to be forgotten in federated learning, federated unlearning aims at eliminating the impact of leaving users' data on the global learned model. The current research in federated unlearning mainly concentrated on dev...	[]	Validation
39,429	30	Title: Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning Abstract: Text-based reinforcement learning agents have predominantly been neural network-based models with embeddings-based representation, learning uninterpretable policies that often do not generalize well to unse...	[]	Test
39,430	23	Title: Semantic Similarity Loss for Neural Source Code Summarization Abstract: This paper presents an improved loss function for neural source code summarization. Code summarization is the task of writing natural language descriptions of source code. Neural code summarization refers to automated techniques for generati...	[ 4658, 13700 ]	Train
39,431	27	Title: Importance Filtering with Risk Models for Complex Driving Situations Abstract: Self-driving cars face complex driving situations with a large amount of agents when moving in crowded cities. However, some of the agents are actually not influencing the behavior of the self-driving car. Filtering out unimportant ag...	[ 20458 ]	Train
39,432	2	Title: System $F^\mu_\omega$ with Context-free Session Types Abstract: We study increasingly expressive type systems, from $F^\mu$ -- an extension of the polymorphic lambda calculus with equirecursive types -- to $F^{\mu;}_\omega$ -- the higher-order polymorphic lambda calculus with equirecursive types and context-free...	[]	Train
39,433	5	Title: A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation Abstract: Particle filters are a group of algorithms to solve inverse problems through statistical Bayesian methods when the model does not comply with the linear and Gaussian hypothesis. Particle filters are use...	[]	Validation
39,434	16	Title: Robust Category-Level 3D Pose Estimation from Synthetic Data Abstract: Obtaining accurate 3D object poses is vital for numerous computer vision applications, such as 3D reconstruction and scene understanding. However, annotating real-world objects is time-consuming and challenging. While synthetically generated ...	[ 34074 ]	Train
39,435	30	Title: Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue Abstract: Factual correctness is often the limiting factor in practical applications of natural language generation in high-stakes domains such as healthcare. An essential requirement f...	[ 17049 ]	Validation
39,436	24	Title: Transformer-Based Hierarchical Clustering for Brain Network Analysis Abstract: Brain networks, graphical models such as those constructed from MRI, have been widely used in pathological prediction and analysis of brain functions. Within the complex brain system, differences in neuronal connection strengths parce...	[]	Train
39,437	30	Title: Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination Abstract: We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable intelligence on misinformation prevalent in social media. Specifically, it uses language processing and machine lear...	[]	Validation
39,438	30	Title: Provable Robust Watermarking for AI-Generated Text Abstract: As AI-generated text increasingly resembles human-written content, the ability to detect machine-generated text becomes crucial. To address this challenge, we present GPTWatermark, a robust and high-quality solution designed to ascertain whether a piec...	[ 6531, 13700, 14499, 33220, 1416, 15881, 22476, 497, 38235, 25075, 18134, 25367, 315 ]	Train
39,439	30	Title: Universal Self-adaptive Prompting Abstract: A hallmark of modern large language models (LLMs) is their impressive general zero-shot and few-shot abilities, often elicited through prompt-based and/or in-context learning. However, while highly coveted and being the most general, zero-shot performances in LLMs are ...	[ 43327, 13510, 23631, 3795, 29087 ]	Test
39,440	16	Title: Joint Representation Learning for Text and 3D Point Cloud Abstract: Recent advancements in vision-language pre-training (e.g. CLIP) have shown that vision models can benefit from language supervision. While many models using language modality have achieved great success on 2D vision tasks, the joint representati...	[ 7776, 18267, 14861 ]	Train
39,441	4	Title: Format Preserving Encryption in the Bounded Retrieval Model Abstract: In the bounded retrieval model, the adversary can leak a certain amount of information from the message sender's computer (e.g., 10 percent of the hard drive). Bellare, Kane and Rogaway give an efficient symmetric encryption scheme in the boun...	[]	Train
39,442	16	Title: UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery Abstract: Urban Physical Disorder (UPD), such as old or abandoned buildings, broken sidewalks, litter, and graffiti, has a negative impact on residents' quality of life. They can also increa...	[ 36129, 18823 ]	Train
39,443	28	Title: Design and Analysis of Index codes for 3-Group NOMA in Vehicular Adhoc Networks Abstract: Index coding (IC) is a source coding technique employed to improve spectral utilisation, where the source node aims to satisfy users' demands by making minimum transmissions. Non-orthogonal multiple access (NOMA) is integra...	[]	Train
39,444	21	Title: Using I4.0 digital twins in agriculture Abstract: Agriculture is a huge domain where an enormous landscape of systems interact to support agricultural processes, which are becoming increasingly digital. From the perspective of agricultural service providers, a prominent challenge is interoperability. In the Frau...	[]	Train
39,445	16	Title: LMR: Lane Distance-Based Metric for Trajectory Prediction Abstract: The development of approaches for trajectory prediction requires metrics to validate and compare their performance. Currently established metrics are based on Euclidean distance, which means that errors are weighted equally in all directions. Eu...	[ 18283, 23599 ]	Validation
39,446	24	Title: What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings Abstract: Joint representation learning over multi-sourced knowledge graphs (KGs) yields transferable and expressive embeddings that improve downstream tasks. Entity alignment (EA) is a critical step in th...	[]	Validation
39,447	28	Title: An Information-Theoretic Characterization of MIMO-FAS: Optimization, Diversity-Multiplexing Tradeoff and q-Outage Capacity Abstract: Multiple-input multiple-output (MIMO) system has been the defining mobile communications technology in recent generations. With the ever-increasing demands looming towards the sixt...	[ 20820, 24070, 6199 ]	Train
39,448	17	Title: Fast Compressed Segmentation Volumes for Scientific Visualization Abstract: Voxel-based segmentation volumes often store a large number of labels and voxels, and the resulting amount of data can make storage, transfer, and interactive visualization difficult. We present a lossless compression technique which add...	[]	Train
39,449	24	Title: GAN-based Vertical Federated Learning for Label Protection in Binary Classification Abstract: Split learning (splitNN) has emerged as a popular strategy for addressing the high computational costs and low modeling efficiency in Vertical Federated Learning (VFL). However, despite its popularity, vanilla splitNN l...	[]	Train
39,450	6	Title: Memory Manipulations in Extended Reality Abstract: Human memory has notable limitations (e.g., forgetting) which have necessitated a variety of memory aids (e.g., calendars). As we grow closer to mass adoption of everyday Extended Reality (XR), which is frequently leveraging perceptual limitations (e.g., redirec...	[]	Train
39,451	30	Title: G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment Abstract: The quality of texts generated by natural language generation (NLG) systems is hard to measure automatically. Conventional reference-based metrics, such as BLEU and ROUGE, have been shown to have relatively low correlation with human judgme...	[ 16644, 16389, 41350, 6535, 17417, 5387, 44811, 14609, 44947, 39061, 10518, 24087, 25751, 17049, 33815, 39576, 24479, 34208, 23075, 12709, 29349, 13096, 15400, 7339, 30510, 41010, 17076, 16822, 13495, 10295, 10681, 26810, 6075, 31291, 34103, 2622,...	Train
39,452	16	Title: MC-NeRF: Muti-Camera Neural Radiance Fields for Muti-Camera Image Acquisition Systems Abstract: Neural Radiance Fields (NeRF) employ multi-view images for 3D scene representation and have shown remarkable performance. As one of the primary sources of multi-view images, multi-camera systems encounter challenges s...	[ 11874, 27795, 36493 ]	Validation
39,453	24	Title: PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation Abstract: The eXtreme Multi-label Classification~(XMC) problem seeks to find relevant labels from an exceptionally large label space. Most of the existing XMC learners focus on the extraction o...	[]	Train
39,454	24	Title: LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting Abstract: Traffic forecasting plays a critical role in smart city initiatives and has experienced significant advancements thanks to the power of deep learning in capturing non-linear patterns of traffic data. However, the promising results achieve...	[ 28445, 36791 ]	Train
39,455	10	Title: Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning Abstract: The two fields of urban planning and artificial intelligence (AI) arose and developed separately. However, there is now cross-pollination and increasing interest in both fields to benefit from the advances of the...	[ 10144, 13510, 31439 ]	Train
39,456	16	Title: MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation Abstract: Renal transplantation emerges as the most effective solution for end-stage renal disease. Occurring from complex causes, a substantial risk of transplant chronic dysfunction persists and may lead to graf...	[]	Validation
39,457	28	Title: A Pulse-Shape Binary Multiplex Modulation Abstract: The root raised-cosine pulse commonly used in linear digital modulations yields exactly two intersymbol interference components from the preceding and the subsequent data symbols, provided that the roll-off factor is 100% and the modulation packing factor is se...	[]	Train
39,458	22	Title: Exact Bayesian Inference for Loopy Probabilistic Programs Abstract: We present an exact Bayesian inference method for inferring posterior distributions encoded by probabilistic programs featuring possibly unbounded looping behaviors. Our method is built on an extended denotational semantics represented by probab...	[ 416, 23361, 39385, 5132 ]	Validation
39,459	16	Title: Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering Abstract: Visual Question Answering (VQA) is a task that requires computers to give correct answers for the input questions based on the images. This task can be solved by humans with ease but is...	[]	Train
39,460	23	Title: The Type to Take Out a Loan? A Study of Developer Personality and Technical Debt Abstract: Background: Technical debt (TD) has been widely discussed in software engineering research, and there is an emerging literature linking it to developer characteristics. However, developer personality has not yet been studi...	[]	Validation
39,461	16	Title: AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning Abstract: While substantial progresses have been made in automated 2D portrait stylization, admirable 3D portrait stylization from a single user photo remains to be an unresolved challenge. One primary obstacle here is the lack of high q...	[]	Train
39,462	34	Title: Solving the recoverable robust shortest path problem in DAGs Abstract: This paper deals with the recoverable robust shortest path problem under the interval uncertainty representation. The problem is known to be strongly NP-hard and not approximable in general digraphs. Polynomial time algorithms for the problem...	[]	Train
39,463	28	Title: MDS, Hermitian Almost MDS, and Gilbert-Varshamov Quantum Codes from Generalized Monomial-Cartesian Codes Abstract: We construct new stabilizer quantum error-correcting codes from generalized monomial-Cartesian codes. Our construction uses an explicitly defined twist vector, and we present formulas for the minimu...	[]	Test
39,464	24	Title: Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies Abstract: Recent work has shown the promise of creating generalist, transformer-based, models for language, vision, and sequential decision-making problems. To create such models, we generally require centralized training objectives,...	[ 44537, 28414, 12775 ]	Test
39,465	16	Title: SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects Abstract: To enable meaningful robotic manipulation of objects in the real-world, 6D pose estimation is one of the critical aspects. Most existing approaches have difficulties to extend predictions to scenarios where novel object insta...	[ 39232, 22369 ]	Test
39,466	23	Title: Is ChatGPT the Ultimate Programming Assistant - How far is it? Abstract: Recently, the ChatGPT LLM has received great attention: it can be used as a bot for discussing source code, prompting it to suggest changes, provide descriptions or even generate code. Typical demonstrations generally focus on existing benc...	[ 25227, 23837, 43044, 27563, 24749, 23983, 11190, 3518, 9921, 21313, 41537, 17606, 15047, 33606, 26825, 31817, 43471, 29017, 16987, 40036, 7536, 39547, 9471 ]	Train
39,467	24	Title: CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries via Cyclic Attention Abstract: Predicting the State-of-Health (SoH) of lithium-ion batteries is a fundamental task of battery management systems on electric vehicles. It aims at estimating future SoH based on historical aging data. Most exist...	[]	Train
39,468	16	Title: Accelerating Vision-Language Pretraining with Free Language Modeling Abstract: The state of the arts in vision-language pretraining (VLP) achieves exemplary performance but suffers from high training costs resulting from slow convergence and long training time, especially on large-scale web datasets. An essentia...	[ 2592, 19442 ]	Train
39,469	10	Title: Holy Grail 2.0: From Natural Language to Constraint Models Abstract: Twenty-seven years ago, E. Freuder highlighted that"Constraint programming represents one of the closest approaches computer science has yet made to the Holy Grail of programming: the user states the problem, the computer solves it". Nowadays, ...	[ 40610, 5989, 25227, 9907, 41053, 37302, 285 ]	Train
39,470	10	Title: Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring Abstract: Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behavior and conservation strategies. Using elephants, a crucial species in Af...	[]	Validation
39,471	16	Title: Embedding Aggregation for Forensic Facial Comparison Abstract: In forensic facial comparison, questioned-source images are usually captured in uncontrolled environments, with non-uniform lighting, and from non-cooperative subjects. The poor quality of such material usually compromises their value as evidence in ...	[]	Test
39,472	10	Title: Validation of a Hospital Digital Twin with Machine Learning Abstract: Recently there has been a surge of interest in developing Digital Twins of process flows in healthcare to better understand bottlenecks and areas of improvement. A key challenge is in the validation process. We describe a work in progress for ...	[]	Train
39,473	24	Title: Symmetric Equilibrium Learning of VAEs Abstract: We view variational autoencoders (VAE) as decoder-encoder pairs, which map distributions in the data space to distributions in the latent space and vice versa. The standard learning approach for VAEs, i.e. maximisation of the evidence lower bound (ELBO), has an ob...	[]	Train
39,474	34	Title: A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap Abstract: Given a graph, the k-plex is a vertex set in which each vertex is not adjacent to at most k-1 other vertices in the set. The maximum k-plex problem, which asks for the largest k-plex from a given graph, is an important but computationa...	[ 30052 ]	Validation
39,475	17	Title: Combining GPU Tracing Methods within a Single Ray Query Abstract: A recent trend in real-time rendering is the utilization of the new hardware ray tracing capabilities. Often, usage of a distance field representation is proposed as an alternative when hardware ray tracing is deemed too costly, and the two are se...	[]	Test
39,476	15	Title: Hardware Acceleration of Neural Graphics Abstract: Rendering and inverse rendering techniques have recently attained powerful new capabilities and building blocks in the form of neural representations (NR), with derived rendering techniques quickly becoming indispensable tools next to classic computer graphics a...	[]	Validation
39,477	24	Title: The Backpropagation algorithm for a math student Abstract: A Deep Neural Network (DNN) is a composite function of vector-valued functions, and in order to train a DNN, it is necessary to calculate the gradient of the loss function with respect to all parameters. This calculation can be a non-trivial task because...	[]	Test

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