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
37,378	24	Title: Through-life Monitoring of Resource-constrained Systems and Fleets Abstract: A Digital Twin (DT) is a simulation of a physical system that provides information to make decisions that add economic, social or commercial value. The behaviour of a physical system changes over time, a DT must therefore be continually...	[]	Train
37,379	28	Title: Shared Information for a Markov Chain on a Tree Abstract: Shared information is a measure of mutual dependence among m ≥ 2 jointly distributed discrete random variables. For a Markov chain on a tree with a given joint distribution, we give a new proof of an explicit characterization of shared information. When t...	[]	Test
37,380	16	Title: Object Goal Navigation with Recursive Implicit Maps Abstract: Object goal navigation aims to navigate an agent to locations of a given object category in unseen environments. Classical methods explicitly build maps of environments and require extensive engineering while lacking semantic information for object-or...	[ 37382, 22222, 25799 ]	Train
37,381	24	Title: Knowledge Graph Completion with Counterfactual Augmentation Abstract: Graph Neural Networks (GNNs) have demonstrated great success in Knowledge Graph Completion (KGC) by modeling how entities and relations interact in recent years. However, most of them are designed to learn from the observed graph structure, wh...	[ 13561, 42026, 3957, 21790 ]	Train
37,382	10	Title: Emergence of Maps in the Memories of Blind Navigation Agents Abstract: Animal navigation research posits that organisms build and maintain internal spatial representations, or maps, of their environment. We ask if machines -- specifically, artificial intelligence (AI) navigation agents -- also build implicit (or...	[ 37380, 19494 ]	Test
37,383	30	Title: The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning Abstract: Large Language Models (LLMs) have shown enhanced capabilities of solving novel tasks by reasoning step-by-step known as Chain-of-Thought (CoT) reasoning; how can we instill the same capabil...	[ 41122, 25892, 5192, 6353, 14609, 10163, 45848, 36986 ]	Train
37,384	24	Title: Normalized Gradients for All Abstract: In this short note, I show how to adapt to H\"{o}lder smoothness using normalized gradients in a black-box way. Moreover, the bound will depend on a novel notion of local H\"{o}lder smoothness. The main idea directly comes from Levy [2017].	[ 24027, 16094, 41487 ]	Train
37,385	24	Title: Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI Abstract: There has been a surge in Explainable-AI (XAI) methods that provide insights into the workings of Deep Neural Network (DNN) models. Integrated Gradients (IG) is a popular XAI algorithm that attributes relevance scores to i...	[]	Train
37,386	4	Title: P3LI5: Practical and Confidential Lawful Interception on the 5G Core Abstract: Lawful Interception (LI) is a legal obligation of Communication Service Providers (CSPs) to provide interception capabilities to Law Enforcement Agencies (LEAs) in order to gain insightful data from network communications for criminal...	[]	Test
37,387	4	Title: An Inverse Approach to Windows' Resource-Based Permission Mechanism for Access Permission Vulnerability Detection Abstract: In organizations, employees work with information stored in files according to their duties and responsibilities. Windows uses resource-based access permissions that any permission for any ...	[]	Test
37,388	16	Title: RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion Abstract: The raw depth image captured by indoor depth sensors usually has an extensive range of missing depth values due to inherent limitations such as the inability to perceive transparent objects and the limited distance range. The incomplete de...	[]	Train
37,389	16	Title: MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency Abstract: 3D single object tracking (SOT) is an indispensable part of automated driving. Existing approaches rely heavily on large, densely labeled datasets. However, annotating point clouds is both costly and time-consumin...	[]	Train
37,390	16	Title: SPOTR: Spatio-temporal Pose Transformers for Human Motion Prediction Abstract: 3D human motion prediction is a research area of high significance and a challenge in computer vision. It is useful for the design of many applications including robotics and autonomous driving. Traditionally, autogregressive models h...	[]	Train
37,391	10	Title: Counterfactual Explanation Policies in RL Abstract: As Reinforcement Learning (RL) agents are increasingly employed in diverse decision-making problems using reward preferences, it becomes important to ensure that policies learned by these frameworks in mapping observations to a probability distribution of the p...	[ 22541 ]	Validation
37,392	24	Title: FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs Abstract: Large Language Models (LLMs) have achieved state-of-the-art performance across various language tasks but pose challenges for practical deployment due to their substantial memory requirements. Furthermore, the latest ge...	[]	Validation
37,393	16	Title: GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking Loss Abstract: Siamese trackers based on 3D region proposal network (RPN) have shown remarkable success with deep Hough voting. However, using a single seed point feature as the cue for voting fails to produce high-quality 3D proposals. Addit...	[ 26484 ]	Train
37,394	16	Title: Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers Abstract: Stroke is one of two main causes of death worldwide. Many individuals suffer from ischemic stroke every year. Only in US more over 700,000 individuals meet ischemic stroke due to blood clot...	[]	Train
37,395	30	Title: Beyond Black Box AI generated Plagiarism Detection: From Sentence to Document Level Abstract: The increasing reliance on large language models (LLMs) in academic writing has led to a rise in plagiarism. Existing AI-generated text classifiers have limited accuracy and often produce false positives. We propose a n...	[ 33220, 14606, 7796, 3509, 40055, 43930, 38235, 35388 ]	Train
37,396	6	Title: A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition Abstract: Brain-Computer Interface (BCI) initially gained attention for developing applications that aid physically impaired individuals. Recently, the idea of integrating BCI with Augmented Reality (AR) emerged, which us...	[]	Train
37,397	30	Title: Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks Abstract: Recently large language models (LLMs) like ChatGPT have shown impressive performance on many natural language processing tasks with zero-shot. In this paper, we investigate the effectiveness of zero-shot LLMs in the fi...	[ 7936, 12128, 40192, 13700, 15402, 44526, 24308 ]	Train
37,398	30	Title: THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment Abstract: This paper describes the approach of the THUIR team at the COLIEE 2023 Legal Case Entailment task. This task requires the participant to identify a specific paragraph from a given supporting case that entails the decision ...	[ 5753, 45261 ]	Train
37,399	6	Title: Fostering User Engagement in the Critical Reflection of Arguments Abstract: A natural way to resolve different points of view and form opinions is through exchanging arguments and knowledge. Facing the vast amount of available information on the internet, people tend to focus on information consistent with their...	[]	Train
37,400	16	Title: AniFaceDrawing: Anime Portrait Exploration during Your Sketching Abstract: This paper focuses on how artificial intelligence (AI) can be used to assist general users in the creation of professional portraits, that is, consistently converting rough sketches into high-quality anime portraits during their sketching...	[]	Train
37,401	15	Title: An 818-TOPS/W CSNR-31dB SQNR-45dB 10-bit Capacitor-Reconfiguring Computing-in-Memory Macro with Software-Analog Co-Design for Transformers Abstract: Transformer inference requires high compute accuracy; achieving this using analog CIMs has been difficult due to inherent computational errors. To overcome this cha...	[]	Validation
37,402	24	Title: Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers Abstract: Estimating fluid dynamics is classically done through the simulation and integration of numerical models solving the Navier-Stokes equations, which is computationally complex and time-consuming even on high-end hardware. Thi...	[ 19784 ]	Train
37,403	36	Title: Discrete Two Player All-Pay Auction with Complete Information Abstract: We study discrete two player all-pay auction with complete information. We provide full characterization of mixed strategy Nash equilibria and show that they constitute a subset of Nash equilibria of discrete General Lotto game. We show that...	[]	Train
37,404	10	Title: Recent Advancements In The Field Of Deepfake Detection Abstract: A deepfake is a photo or video of a person whose image has been digitally altered or partially replaced with an image of someone else. Deepfakes have the potential to cause a variety of problems and are often used maliciously. A common usage is alt...	[ 34837, 25717 ]	Train
37,405	30	Title: Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models Abstract: Prompt engineering is an essential technique for enhancing the abilities of large language models (LLMs) by providing explicit and specific instructions. It enables LLMs to excel in various tasks, such as arithmetic reasoning...	[ 3609, 29419, 43004, 40966 ]	Train
37,406	27	Title: Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving Abstract: As learning-based methods make their way from perception systems to planning/control stacks, robot control systems have started to enjoy the benefits that data-driven methods provide. Because con...	[]	Test
37,407	3	Title: Fairness in Socio-technical Systems: a Case Study of Wikipedia Abstract: Problems broadly known as algorithmic bias frequently occur in the context of complex socio-technical systems (STS), where observed biases may not be directly attributable to a single automated decision algorithm. As a first investigation o...	[]	Validation
37,408	16	Title: AB2CD: AI for Building Climate Damage Classification and Detection Abstract: We explore the implementation of deep learning techniques for precise building damage assessment in the context of natural hazards, utilizing remote sensing data. The xBD dataset, comprising diverse disaster events from across the globe...	[]	Test
37,409	16	Title: Multidimensional Data Analysis Based on Block Convolutional Tensor Decomposition Abstract: Tensor decompositions are powerful tools for analyzing multi-dimensional data in their original format. Besides tensor decompositions like Tucker and CP, Tensor SVD (t-SVD) which is based on the t-product of tensors is ano...	[]	Validation
37,410	30	Title: Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media Abstract: We present the Multi-Modal Discussion Transformer (mDT), a novel multi-modal graph-based transformer model for detecting hate speech in online social networks, such as Reddit discus...	[ 32282, 35350 ]	Test
37,411	30	Title: Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies Abstract: Large language models (LLMs) have demonstrated remarkable performance across a wide array of NLP tasks. However, their efficacy is undermined by undesired and inconsistent behaviors, including ...	[ 8580, 10502, 41350, 17417, 45821, 4111, 19472, 11286, 43930, 15004, 31388, 32542, 10783, 28962, 24099, 28963, 29861, 43298, 17447, 40610, 38780, 14380, 7085, 9518, 24749, 6832, 20272, 4658, 22578, 26673, 1333, 7734, 27569, 24760, 41914, 31291, ...	Validation
37,412	16	Title: Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition Abstract: 3D convolution neural networks (CNNs) have been the prevailing option for video recognition. To capture the temporal information, 3D convolutions are computed along the sequences, leading to cubically growing and expensi...	[ 4706, 12127 ]	Train
37,413	16	Title: Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction Abstract: This paper addresses the problem of rolling shutter correction in complex nonlinear and dynamic scenes with extreme occlusion. Existing methods suffer from two main drawbacks. Firstly, they face challenges in estimating the ...	[]	Train
37,414	24	Title: Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits Abstract: The use of Neural Architecture Search (NAS) techniques to automate the design of neural networks has become increasingly popular in recent years. The proliferation of devices with different hardware characteristics usi...	[ 8709 ]	Test
37,415	27	Title: Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks Abstract: The design of Autonomous Vehicle software has largely followed the Sense-Plan-Act model. Traditional modular AV stacks develop perception, planning, and control software separately with little int...	[]	Train
37,416	27	Title: Monocular Simultaneous Localization and Mapping using Ground Textures Abstract: Recent work has shown impressive localization performance using only images of ground textures taken with a downward facing monocular camera. This provides a reliable navigation method that is robust to feature sparse environments an...	[]	Test
37,417	37	Title: Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Management Abstract: This research paper explores the use of ChatGPT in database management. ChatGPT, an AI-powered chatbot, has limitations in performing tasks related to database management due to the lack of standardized voc...	[ 20398 ]	Test
37,418	15	Title: An experimental study of data retention behavior in modern DRAM devices: implications for retention time profiling mechanisms Abstract: DRAM cells store data in the form of charge on a capacitor. This charge leaks off over time, eventually causing data to be lost. To prevent this data loss from occurring, DRAM c...	[ 12482, 38500, 7108, 5339, 34174 ]	Train
37,419	30	Title: GATE: A Challenge Set for Gender-Ambiguous Translation Examples Abstract: Although recent years have brought significant progress in improving translation of unambiguously gendered sentences, translation of ambiguously gendered input remains relatively unexplored. When source gender is ambiguous, machine transla...	[ 40854 ]	Train
37,420	3	Title: Deceptive AI Ecosystems: The Case of ChatGPT Abstract: ChatGPT, an AI chatbot, has gained popularity for its capability in generating human-like responses. However, this feature carries several risks, most notably due to its deceptive behaviour such as offering users misleading or fabricated information that cou...	[ 43930, 30243, 13700, 44173 ]	Test
37,421	33	Title: Monadic Expressions and their Derivatives [extended version] Abstract: We propose another interpretation of well-known derivatives computations from regular expressions, due to Brzozowski, Antimirov or Lombardy and Sakarovitch, in order to abstract the underlying data structures (e.g. sets or linear combinations...	[]	Validation
37,422	8	Title: Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity Abstract: 5G New Radio proposes the usage of frequencies above 10 GHz to speed up LTE's existent maximum data rates. However, the effective size of 5G antennas and consequently its repercussions in the signal degradation in u...	[]	Train
37,423	24	Title: Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction Abstract: We propose a novel supervised learning approach for political ideology prediction (PIP) that is capable of predicting out-of-distribution inputs. This problem is motivated by the fact that manual data-labeling is e...	[]	Validation
37,424	10	Title: Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? Abstract: We evaluated the capability of generative pre-trained transformers (GPT), to pass assessments in introductory and intermediate Python programming courses at the postsecondary level. Discussions of po...	[ 33057, 19970, 35107, 100, 14026, 37450, 19315, 21494, 27031, 46102 ]	Validation
37,425	16	Title: Child Palm-ID: Contactless Palmprint Recognition for Children Abstract: Effective distribution of nutritional and healthcare aid for children, particularly infants and toddlers, in some of the least developed and most impoverished countries of the world, is a major problem due to the lack of reliable identificat...	[]	Train
37,426	16	Title: Parsing is All You Need for Accurate Gait Recognition in the Wild Abstract: Binary silhouettes and keypoint-based skeletons have dominated human gait recognition studies for decades since they are easy to extract from video frames. Despite their success in gait recognition for in-the-lab environments, they usual...	[]	Validation
37,427	3	Title: Un jeu a debattre pour sensibiliser a l'Intelligence Artificielle dans le contexte de la pandemie de COVID-19 Abstract: Artificial Intelligence is more and more pervasive in our lives. Many important decisions are delegated to AI algorithms: accessing higher education, determining prison sentences, autonomously ...	[]	Train
37,428	24	Title: Deep Generative Models for Physiological Signals: A Systematic Literature Review Abstract: In this paper, we present a systematic literature review on deep generative models for physiological signals, particularly electrocardiogram, electroencephalogram, photoplethysmogram and electromyogram. Compared to the exi...	[ 34728, 24135 ]	Train
37,429	16	Title: A Post-Processing Based Bengali Document Layout Analysis with YOLOV8 Abstract: This paper focuses on enhancing Bengali Document Layout Analysis (DLA) using the YOLOv8 model and innovative post-processing techniques. We tackle challenges unique to the complex Bengali script by employing data augmentation for mode...	[ 35156 ]	Validation
37,430	28	Title: Secure Semantic Communications: Fundamentals and Challenges Abstract: Semantic communication allows the receiver to know the intention instead of the bit information itself, which is an emerging technique to support real-time human-machine and machine-to-machine interactions for future wireless communications. I...	[ 18208, 6598, 17711 ]	Train
37,431	3	Title: Report on the Future of Conferences Abstract: In 2020, virtual conferences became almost the only alternative to cancellation. Now that the pandemic is subsiding, the pros and cons of virtual conferences need to be reevaluated. In this report, we scrutinize the dynamics and economics of conferences and highlight...	[]	Train
37,432	23	Title: GrACE: Generation using Associated Code Edits Abstract: Developers expend a significant amount of time in editing code for a variety of reasons such as bug fixing or adding new features. Designing effective methods to predict code edits has been an active yet challenging area of research due to the diversity of ...	[ 11190 ]	Train
37,433	24	Title: Heterogeneous Multi-Task Gaussian Cox Processes Abstract: This paper presents a novel extension of multi-task Gaussian Cox processes for modeling multiple heterogeneous correlated tasks jointly, e.g., classification and regression, via multi-output Gaussian processes (MOGP). A MOGP prior over the parameters of t...	[]	Train
37,434	23	Title: A systematic mapping study and practitioner insights on the use of software engineering practices to develop MVPs Abstract: nan	[ 36975 ]	Train
37,435	15	Title: BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs Abstract: Deep neural network (DNN) inference using reduced integer precision has been shown to achieve significant improvements in memory utilization and compute throughput with little or no accuracy loss compared to full-precision floating-...	[]	Train
37,436	2	Title: Technical-Report: Automating Recoverability Proofs for Cyber-Physical Systems with Runtime Assurance Architectures Abstract: Cyber-physical systems (CPSes), such as autonomous vehicles, use sophisticated components like ML-based controllers. It is difficult to provide evidence about the safe functioning of such ...	[]	Validation
37,437	16	Title: Neural Map Prior for Autonomous Driving Abstract: High-definition (HD) semantic maps are crucial for autonomous vehicles navigating urban environments. Traditional offline HD maps, created through labor-intensive manual annotation processes, are both costly and incapable of accommodating timely updates. Recently...	[ 4136, 13596, 26765, 45767 ]	Test
37,438	24	Title: OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models Abstract: Large language models (LLMs) have revolutionized natural language processing tasks. However, their practical deployment is hindered by their immense memory and computation requirements. Although recent post-training quantiza...	[ 8640, 16866, 6979, 13700, 42948, 13510, 42794, 33806, 5649, 1234, 39733, 45014, 5815, 43641, 19578, 9403, 41244 ]	Train
37,439	37	Title: Diba: A Re-configurable Stream Processor Abstract: Stream processing acceleration is driven by the continuously increasing volume and velocity of data generated on the Web and the limitations of storage, computation, and power consumption. Hardware solutions provide better performance and power consumption, but ...	[]	Train
37,440	30	Title: ChatHaruhi: Reviving Anime Character in Reality via Large Language Model Abstract: Role-playing chatbots built on large language models have drawn interest, but better techniques are needed to enable mimicking specific fictional characters. We propose an algorithm that controls language models via an improved pr...	[ 13700 ]	Train
37,441	16	Title: Style Generation: Image Synthesis based on Coarsely Matched Texts Abstract: Previous text-to-image synthesis algorithms typically use explicit textual instructions to generate/manipulate images accurately, but they have difficulty adapting to guidance in the form of coarsely matched texts. In this work, we attem...	[]	Train
37,442	24	Title: Communication-minimizing Asynchronous Tensor Parallelism Abstract: As state-of-the-art neural networks scale to billions of parameters, designing parallel algorithms that can train these networks efficiently on multi-GPU clusters has become critical. This paper presents Tensor3D, a novel three-dimensional (3D) a...	[]	Train
37,443	16	Title: Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection Abstract: Human-Object Interaction (HOI) detection is a challenging computer vision task that requires visual models to address the complex interactive relationship between humans and objects and predict ...	[ 29278 ]	Train
37,444	24	Title: Review of Extreme Multilabel Classification Abstract: Extreme multilabel classification or XML, is an active area of interest in machine learning. Compared to traditional multilabel classification, here the number of labels is extremely large, hence, the name extreme multilabel classification. Using classical on...	[ 33655, 16295 ]	Train
37,445	25	Title: WhisperX: Time-Accurate Speech Transcription of Long-Form Audio Abstract: Large-scale, weakly-supervised speech recognition models, such as Whisper, have demonstrated impressive results on speech recognition across domains and languages. However, their application to long audio transcription via buffered or slid...	[ 40065, 45317, 8558, 35508, 7352, 18907 ]	Test
37,446	30	Title: Optimizing transformer-based machine translation model for single GPU training: a hyperparameter ablation study Abstract: In machine translation tasks, the relationship between model complexity and performance is often presumed to be linear, driving an increase in the number of parameters and consequent demands ...	[]	Train
37,447	10	Title: Superhuman artificial intelligence can improve human decision-making by increasing novelty Abstract: Significance Although advances in artificial intelligence (AI) created superhuman AI systems, little is understood about how such AI systems will affect human decision-making. We examine historical changes in dec...	[ 14194, 25083, 13150 ]	Test
37,448	4	Title: Statistical Verification of Traffic Systems with Expected Differential Privacy Abstract: Traffic systems are multi-agent cyber-physical systems whose performance is closely related to human welfare. They work in open environments and are subject to uncertainties from various sources, making their performance har...	[]	Train
37,449	24	Title: Learning to Learn with Indispensable Connections Abstract: Meta-learning aims to solve unseen tasks with few labelled instances. Nevertheless, despite its effectiveness for quick learning in existing optimization-based methods, it has several flaws. Inconsequential connections are frequently seen during meta-tra...	[]	Train
37,450	6	Title: Can We Trust AI-Generated Educational Content? Comparative Analysis of Human and AI-Generated Learning Resources Abstract: As an increasing number of students move to online learning platforms that deliver personalized learning experiences, there is a great need for the production of high-quality educational con...	[ 27205, 14569, 36778, 31467, 37424, 3314 ]	Validation
37,451	16	Title: Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting Abstract: Transformers have been widely used for video processing owing to the multi-head self attention (MHSA) mechanism. However, the MHSA mechanism encounters an intrinsic difficulty for video inpainting, since the features associated wit...	[ 3392 ]	Train
37,452	8	Title: Digital Twinning in Smart Grid Networks: Interplay, Resource Allocation and Use Cases Abstract: Motivated by climate change, increasing industrialization and energy reliability concerns, the smart grid is set to revolutionize traditional power systems. Moreover, the exponential annual rise in number of grid-conn...	[]	Train
37,453	16	Title: Fisheye traffic data set of point center markers Abstract: This study presents an open data-market platform and a dataset containing 160,000 markers and 18,000 images. We hope that this dataset will bring more new data value and applications In this paper, we introduce the format and usage of the dataset, and we...	[]	Train
37,454	16	Title: Multi-view 3D Face Reconstruction Based on Flame Abstract: At present, face 3D reconstruction has broad application prospects in various fields, but the research on it is still in the development stage. In this paper, we hope to achieve better face 3D reconstruction quality by combining multi-view training frame...	[ 39635 ]	Validation
37,455	30	Title: Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets Abstract: Although recipe data are very easy to come by nowadays, it is really hard to find a complete recipe dataset – with list of ingredients, nutrient values per ingredients, and per recipe, alle...	[]	Train
37,456	24	Title: Is novelty predictable? Abstract: Machine learning-based design has gained traction in the sciences, most notably in the design of small molecules, materials, and proteins, with societal implications spanning drug development and manufacturing, plastic degradation, and carbon sequestration. When designing object...	[ 38338, 33220 ]	Train
37,457	25	Title: Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information Abstract: Previously, Target Speaker Extraction (TSE) has yielded outstanding performance in certain application scenarios for speech enhancement and source separation. However, obtaining auxiliary speaker-rela...	[]	Test
37,458	23	Title: Invalidator: Automated Patch Correctness Assessment Via Semantic and Syntactic Reasoning Abstract: Automated program repair (APR) faces the challenge of test overfitting, where generated patches pass validation tests but fail to generalize. Existing methods for patch assessment involve generating new tests or ma...	[ 16928, 1289 ]	Validation
37,459	30	Title: Improving Rare Words Recognition through Homophone Extension and Unified Writing for Low-resource Cantonese Speech Recognition Abstract: Homophone characters are common in tonal syllable-based languages, such as Mandarin and Cantonese. The data-intensive end-to-end Automatic Speech Recognition (ASR) systems are ...	[]	Validation
37,460	24	Title: What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding Abstract: We aim to deepen the theoretical understanding of Graph Neural Networks (GNNs) on large graphs, with a focus on their expressive power. Existing analyses relate this notion to the graph isomorphism proble...	[ 4799 ]	Validation
37,461	25	Title: Environmental sound synthesis from vocal imitations and sound event labels Abstract: One way of expressing an environmental sound is using vocal imitations, which involve the process of replicating or mimicking the rhythm and pitch of sounds by voice. We can effectively express the features of environmental soun...	[ 24480, 4481 ]	Train
37,462	27	Title: Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments Abstract: In communication restricted environments, a multi-robot system can be deployed to either: i) maintain constant communication but potentially sacrifice operational efficiency due t...	[ 9202 ]	Validation
37,463	30	Title: Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner Abstract: Language models (LMs) trained on vast quantities of unlabelled data have greatly advanced the field of natural language processing (NLP). In this study, we re-visit the widely accepted notion in NLP that continued pre-training LMs o...	[ 40835, 36356, 36746, 27309, 1007, 10163, 39992 ]	Test
37,464	25	Title: A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription Abstract: Note-level automatic music transcription is one of the most representative music information retrieval (MIR) tasks and has been studied for various instruments to understand music. However, due to the lack of high-quality labe...	[ 15880 ]	Train
37,465	24	Title: Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model Abstract: In data-driven drug discovery, designing molecular descriptors is a very important task. Deep generative models such as variational autoencoders (VAEs) offer a potential solution by designing descriptors as probabili...	[]	Validation
37,466	24	Title: A Perceptron-based Fine Approximation Technique for Linear Separation Abstract: This paper presents a novel online learning method that aims at finding a separator hyperplane between data points labelled as either positive or negative. Since weights and biases of artificial neurons can directly be related to hyp...	[]	Test
37,467	30	Title: RadLing: Towards Efficient Radiology Report Understanding Abstract: Most natural language tasks in the radiology domain use language models pre-trained on biomedical corpus. There are few pretrained language models trained specifically for radiology, and fewer still that have been trained in a low data setting a...	[ 18932, 519 ]	Train
37,468	24	Title: Verifiable Learning for Robust Tree Ensembles Abstract: Verifying the robustness of machine learning models against evasion attacks at test time is an important research problem. Unfortunately, prior work established that this problem is NP-hard for decision tree ensembles, hence bound to be intractable for spec...	[]	Train
37,469	30	Title: Multilingual Multiword Expression Identification Using Lateral Inhibition and Domain Adaptation Abstract: Correctly identifying multiword expressions (MWEs) is an important task for most natural language processing systems since their misidentification can result in ambiguity and misunderstanding of the underlyi...	[]	Train
37,470	4	Title: Security and Privacy Issues for Urban Smart Traffic Infrastructure Abstract: In recent times, the research works relating to smart traffic infrastructure have gained serious attention. As a result, research has been carried out in multiple directions to ensure that such infrastructure can improve upon our existi...	[]	Validation
37,471	27	Title: Minimizing Running Buffers for Tabletop Object Rearrangement: Complexity, Fast Algorithms, and Applications Abstract: For rearranging objects on tabletops with overhand grasps, temporarily relocating objects to some buffer space may be necessary. This raises the natural question of how many simultaneous storage ...	[ 11315 ]	Validation
37,472	27	Title: A LiDAR-Inertial-Visual SLAM System with Loop Detection Abstract: We have proposed, to the best of our knowledge, the first-of-its-kind LiDAR-Inertial-Visual-Fused simultaneous localization and mapping (SLAM) system with a strong place recognition capacity. Our proposed SLAM system is consist of visual-inertial ...	[ 17410, 40319 ]	Validation
37,473	16	Title: Facial Reenactment Through a Personalized Generator Abstract: In recent years, the role of image generative models in facial reenactment has been steadily increasing. Such models are usually subject-agnostic and trained on domain-wide datasets. The appearance of the reenacted individual is learned from a single ...	[ 9860, 1540 ]	Train
37,474	24	Title: GRANDE: a neural model over directed multigraphs with application to anti-money laundering Abstract: The application of graph representation learning techniques to the area of financial risk management (FRM) has attracted significant attention recently. However, directly modeling transaction networks using graph...	[]	Train
37,475	16	Title: Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise Abstract: Deep neural networks have proven to be highly effective when large amounts of data with clean labels are available. However, their performance degrades when training data contains noisy labels, leading to poor g...	[]	Test
37,476	6	Title: Using a virtual reality interview simulator to explore factors influencing people's behavior Abstract: Virtual reality interview simulator (VRIS) provides an effective and manageable approach for candidates prone to being very nervous during interviews, yet, the major anxiety-inducing elements remain unknown. Du...	[]	Validation
37,477	24	Title: Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning Abstract: Diffusion models have demonstrated highly-expressive generative capabilities in vision and NLP. Recent studies in reinforcement learning (RL) have shown that diffusion models are also powerful in modeling...	[ 8994, 23970, 13700, 34215, 20971, 37299, 3609, 41404, 10332, 17981 ]	Train

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