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
17,078	22	Title: Optimizing Stateful Dataflow with Local Rewrites Abstract: Optimizing a stateful dataflow language is a challenging task. There are strict correctness constraints for preserving properties expected by downstream consumers, a large space of possible optimizations, and complex analyses that must reason about the b...	[]	Test
17,079	8	Title: Toward Open Integrated Access and Backhaul with O-RAN Abstract: Millimeter wave (mmWave) communications has been recently standardized for use in the fifth generation (5G) of cellular networks, fulfilling the promise of multi-gigabit mobile throughput of current and future mobile radio network generations. In th...	[ 24055 ]	Train
17,080	16	Title: Efficiency 360: Efficient Vision Transformers Abstract: Transformers are widely used for solving tasks in natural language processing, computer vision, speech, and music domains. In this paper, we talk about the efficiency of transformers in terms of memory (the number of parameters), computation cost (number of...	[ 41704, 29984 ]	Train
17,081	24	Title: An Efficient High-Dimensional Gene Selection Approach based on Binary Horse Herd Optimization Algorithm for Biological Data Classification Abstract: The Horse Herd Optimization Algorithm (HOA) is a new meta-heuristic algorithm based on the behaviors of horses at different ages. The HOA was introduced recently to...	[ 856 ]	Test
17,082	16	Title: On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging Abstract: Implementing neural networks for clinical use in medical applications necessitates the ability for the network to detect when input data differs significantly from the training data, with the a...	[]	Train
17,083	23	Title: PerfDetectiveAI - Performance Gap Analysis and Recommendation in Software Applications Abstract: PerfDetectiveAI, a conceptual framework for performance gap analysis and suggestion in software applications is introduced in this research. For software developers, retaining a competitive edge and providing excepti...	[ 27220 ]	Train
17,084	24	Title: Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization Abstract: Memory-aware network scheduling is becoming increasingly important for deep neural network (DNN) inference on resource-constrained devices. However, due to the complex cell-level and network-level topologies, memory-aw...	[]	Train
17,085	24	Title: A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Abstract: Recently, frequency transformation (FT) has been increasingly incorporated into deep learning models to significantly enhance state-of-the-art accuracy and efficiency in time series analysis. The advantages of FT, such a...	[ 37128 ]	Train
17,086	27	Title: osmAG: Hierarchical Semantic Topometric Area Graph Maps in the OSM Format for Mobile Robotics Abstract: Maps are essential to mobile robotics tasks like localization and planning. We propose the open street map (osm) XML based Area Graph file format to store hierarchical, topometric semantic multi-floor maps of ...	[ 43422 ]	Test
17,087	23	Title: A Taxonomy of Foundation Model based Systems for Responsible-AI-by-Design Abstract: The recent release of large language model (LLM) based chatbots, such as ChatGPT, has attracted significant attention on foundation models. It is widely believed that foundation models will serve as the fundamental building block...	[ 38208, 39489, 13700, 33220, 878, 24308, 13564 ]	Test
17,088	23	Title: Do code refactorings influence the merge effort? Abstract: In collaborative software development, multiple contributors frequently change the source code in parallel to implement new features, fix bugs, refactor existing code, and make other changes. These simultaneous changes need to be merged into the same ver...	[]	Validation
17,089	24	Title: Regret Lower Bounds in Multi-agent Multi-armed Bandit Abstract: Multi-armed Bandit motivates methods with provable upper bounds on regret and also the counterpart lower bounds have been extensively studied in this context. Recently, Multi-agent Multi-armed Bandit has gained significant traction in various domain...	[ 44403 ]	Test
17,090	31	Title: Multi-domain Recommendation with Embedding Disentangling and Domain Alignment Abstract: Multi-domain recommendation (MDR) aims to provide recommendations for different domains (e.g., types of products) with overlapping users/items and is common for platforms such as Amazon, Facebook, and LinkedIn that host multi...	[ 34040, 45774 ]	Validation
17,091	16	Title: MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion Abstract: Multi-view radar-camera fused 3D object detection provides a farther detection range and more helpful features for autonomous driving, especially under adverse weather. The current radar-camera fusion methods deliver...	[ 28456, 5513, 7815 ]	Test
17,092	30	Title: Forgotten Knowledge: Examining the Citational Amnesia in NLP Abstract: Citing papers is the primary method through which modern scientific writing discusses and builds on past work. Collectively, citing a diverse set of papers (in time and area of study) is an indicator of how widely the community is reading. Ye...	[ 39156 ]	Train
17,093	7	Title: LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites Abstract: Short-fiber-reinforced composites (SFRC) are high-performance engineering materials for lightweight structural applications in the automotive and electronics industries. Typically, SFRC structur...	[]	Train
17,094	24	Title: Policy Optimization for Continuous Reinforcement Learning Abstract: We study reinforcement learning (RL) in the setting of continuous time and space, for an infinite horizon with a discounted objective and the underlying dynamics driven by a stochastic differential equation. Built upon recent advances in the con...	[ 13510 ]	Test
17,095	30	Title: Measuring Sentiment Bias in Machine Translation Abstract: Biases induced to text by generative models have become an increasingly large topic in recent years. In this paper we explore how machine translation might introduce a bias in sentiments as classified by sentiment analysis models. For this, we compare thr...	[]	Train
17,096	16	Title: Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image Abstract: Despite the recent advancement in the study of removing motion blur in an image, it is still hard to deal with strong blurs. While there are limits in removing blurs from a single image, it has more potential to u...	[]	Train
17,097	16	Title: Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation Abstract: In this work, we focus on open vocabulary instance segmentation to expand a segmentation model to classify and segment instance-level novel categories. Previous approaches have relied on massive capti...	[ 38753, 22562, 29733, 24653, 43375, 28592, 41109 ]	Train
17,098	24	Title: Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data Abstract: Lossy compression has become an important technique to reduce data size in many domains. This type of compression is especially valuable for large-scale scientific data, whose size ranges up to several peta...	[]	Train
17,099	6	Title: Toward Artificial Empathy for Human-Centered Design: A Framework Abstract: In the early stages of the design process, designers explore opportunities by discovering unmet needs and developing innovative concepts as potential solutions. From a human-centered design perspective, designers must develop empathy with...	[ 36528, 33220, 15668 ]	Validation
17,100	10	Title: OEKG: The Open Event Knowledge Graph Abstract: Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and consequences across country borders...	[]	Train
17,101	4	Title: Differential Privacy via Distributionally Robust Optimization Abstract: In recent years, differential privacy has emerged as the de facto standard for sharing statistics of datasets while limiting the disclosure of private information about the involved individuals. This is achieved by randomly perturbing the st...	[]	Test
17,102	22	Title: Full Abstraction for Free Abstract: Structured recursion schemes such as folds and unfolds have been widely used for structuring both functional programs and program semantics. In this context, it has been customary to implement denotational semantics as folds over an inductive data type to ensure termination an...	[]	Test
17,103	10	Title: A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees Abstract: The Partially Observable Markov Decision Process (POMDP) provides a principled framework for decision making in stochastic partially observable environments. However, computing good solutions for problems ...	[]	Train
17,104	8	Title: Sparks of GPTs in Edge Intelligence for Metaverse: Caching and Inference for Mobile AIGC Services Abstract: Aiming at achieving artificial general intelligence (AGI) for Metaverse, pretrained foundation models (PFMs), e.g., generative pretrained transformers (GPTs), can effectively provide various AI services, s...	[ 13510, 39946, 30925, 12888, 6942 ]	Validation
17,105	24	Title: Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning Abstract: Reinforcement Learning (RL) has been widely explored in Traffic Signal Control (TSC) applications, however, still no such system has been deployed in practice. A key barrier to p...	[ 22152 ]	Train
17,106	16	Title: Robust Visual Question Answering: Datasets, Methods, and Future Challenges Abstract: Visual question answering requires a system to provide an accurate natural language answer given an image and a natural language question. However, it is widely recognized that previous generic VQA methods often exhibit a tenden...	[ 10624, 19433, 35742 ]	Train
17,107	24	Title: Chemical Property-Guided Neural Networks for Naphtha Composition Prediction Abstract: The naphtha cracking process heavily relies on the composition of naphtha, which is a complex blend of different hydrocarbons. Predicting the naphtha composition accurately is crucial for efficiently controlling the cracking pr...	[]	Train
17,108	24	Title: A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation Abstract: Self-Supervised Learning (SSL) models rely on a pretext task to learn representations. Because this pretext task differs from the downstream tasks used to evaluate the performance o...	[ 12137 ]	Validation
17,109	16	Title: ViT-Lens: Towards Omni-modal Representations Abstract: Though the success of CLIP-based training recipes in vision-language models, their scalability to more modalities (e.g., 3D, audio, etc.) is limited to large-scale data, which is expensive or even inapplicable for rare modalities. In this paper, we present V...	[ 10624, 4643, 37987, 10538, 42794, 17583, 41104, 23545, 18267, 19263 ]	Train
17,110	24	Title: Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching Abstract: Cross-device user matching is a critical problem in numerous domains, including advertising, recommender systems, and cybersecurity. It involves identifying and linking different devices belonging to the same person, ...	[]	Train
17,111	16	Title: Rt-Track: Robust Tricks for Multi-Pedestrian Tracking Abstract: Object tracking is divided into single-object tracking (SOT) and multi-object tracking (MOT). MOT aims to maintain the identities of multiple objects across a series of continuous video sequences. In recent years, MOT has made rapid progress. Howeve...	[]	Test
17,112	27	Title: Rhino: An Autonomous Robot for Mapping Underground Mine Environments Abstract: There are many benefits for exploring and exploiting underground mines, but there are also significant risks and challenges. One such risk is the potential for accidents caused by the collapse of the pillars, and roofs which can be mi...	[ 7076 ]	Validation
17,113	16	Title: KeyDetect -Detection of anomalies and user based on Keystroke Dynamics Abstract: Cyber attacks has always been of a great concern. Websites and services with poor security layers are the most vulnerable to such cyber attacks. The attackers can easily access sensitive data like credit card details and social secu...	[ 26376, 730 ]	Validation
17,114	30	Title: CTE: A Dataset for Contextualized Table Extraction Abstract: Relevant information in documents is often summarized in tables, helping the reader to identify useful facts. Most benchmark datasets support either document layout analysis or table understanding, but lack in providing data to apply both tasks in a un...	[]	Train
17,115	28	Title: A Framework for Control Channels Applied to Reconfigurable Intelligent Surfaces Abstract: The research on Reconfigurable Intelligent Surfaces (RISs) has dominantly been focused on physical-layer aspects and analyses of the achievable adaptation of the propagation environment. Compared to that, the questions rela...	[ 6491, 32701 ]	Test
17,116	24	Title: DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning Abstract: Model-based reinforcement learning (RL), which learns environment model from offline dataset and generates more out-of-distribution model data, has become an effective approach to the problem of distribution shift in offline RL. Due...	[ 32299, 4659 ]	Train
17,117	30	Title: DiffusionNER: Boundary Diffusion for Named Entity Recognition Abstract: In this paper, we propose DiffusionNER, which formulates the named entity recognition task as a boundary-denoising diffusion process and thus generates named entities from noisy spans. During training, DiffusionNER gradually adds noises to t...	[ 8308, 23765 ]	Train
17,118	23	Title: Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names? Abstract: Recent breakthroughs in pre-trained code models, such as CodeBERT and Codex, have shown their superior performance in various downstream tasks. The correctness and unambiguity of API usage among these code models are crucial f...	[ 32450, 33220, 33809, 14869, 29215 ]	Validation
17,119	16	Title: DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation Abstract: Text-driven image manipulation remains challenging in training or inference flexibility. Conditional generative models depend heavily on expensive annotated training data. Meanwhile, recent frameworks, which leverage pre-trained...	[ 29576, 21324, 32143 ]	Train
17,120	7	Title: Numerical Modeling of Stress Corrosion Cracking in Steel Structures with Phase Field Method Abstract: This study presents a novel coupled mechano-electro-chemical formulation for predicting stress corrosion cracking (SCC) phenomena in steel structures using the phase field method. SCC is a complex damage process...	[]	Train
17,121	16	Title: NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer Abstract: Nighttime image dehazing is a challenging task due to the presence of multiple types of adverse degrading effects including glow, haze, blurry, noise, color distortion, and so on. However, most previous studies mainly focus on...	[ 11842, 486, 15341, 29678, 12403, 3007 ]	Train
17,122	24	Title: CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning Abstract: Offline reinforcement learning (RL) aims to learn an optimal policy from pre-collected and labeled datasets, which eliminates the time-consuming data collection in online RL. However, offline RL still bears a large burden of specifying...	[ 21586, 31107, 17631, 23807 ]	Train
17,123	5	Title: Stepwise correlation of multivariate IoT event data based on first-order Markov chains Abstract: Correlating events in complex and dynamic IoT environments is a challenging task not only because of the amount of available data that needs to be processed but also due to the call for time efficient data processing...	[]	Train
17,124	7	Title: Variational Approach to Viscoelastic Fracture : Comparison of a phase-field and of a lip-field approach Abstract: Fracture of viscoelastic materials is considered to be a complex phenomenon due to their highly rate sensitive behavior. In this context, we are interested in the quasi-static response of a viscoelas...	[]	Test
17,125	16	Title: FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision Abstract: Extracting useful visual cues for the downstream tasks is especially challenging under low-light vision. Prior works create enhanced representations by either correlating visual quality with machine per...	[ 43630 ]	Test
17,126	30	Title: Test-Time Training on Nearest Neighbors for Large Language Models Abstract: Many recent efforts aim to augment language models with relevant information retrieved from a database at test time. We avoid the need for prompt engineering by directly fine-tuning the model on data retrieved at test time using its stan...	[ 13510, 3662 ]	Train
17,127	30	Title: Knowledge-Infused Self Attention Transformers Abstract: Transformer-based language models have achieved impressive success in various natural language processing tasks due to their ability to capture complex dependencies and contextual information using self-attention mechanisms. However, they are not without li...	[ 38183, 38381, 29458, 29554, 25883, 23484 ]	Train
17,128	24	Title: Multidimensional Uncertainty Quantification for Deep Neural Networks Abstract: Deep neural networks (DNNs) have received tremendous attention and achieved great success in various applications, such as image and video analysis, natural language processing, recommendation systems, and drug discovery. However, inh...	[]	Test
17,129	23	Title: Psychological Aspects of Pair Programming: A Mixed-methods Experimental Study Abstract: With the recent advent of artificially intelligent pairing partners in software engineering, it is interesting to renew the study of the psychology of pairing. Pair programming provides an attractive way of teaching software ...	[]	Train
17,130	30	Title: DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction Abstract: Document-level relation extraction (DocRE) is the task of identifying all relations between each entity pair in a document. Evidence, defined as sentences containing clues for the relationship between an entity pai...	[ 40406, 31215 ]	Train
17,131	24	Title: The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond Abstract: When the data used for reinforcement learning (RL) are collected by multiple agents in a distributed manner, federated versions of RL algorithms allow collaborative learning without the need of sharing local data. In this ...	[]	Train
17,132	5	Title: Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver FLEXI Abstract: Modern high-order discretizations bear considerable potential for the exascale era due to their high fidelity and the high, local computational load that allows for computational efficiency in massively parallel simulations....	[]	Train
17,133	24	Title: Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting Abstract: The forecast of electrical loads is essential for the planning and operation of the power system. Recently, advances in deep learning have enabled more accurate forecasts. However, deep neural networks are pron...	[]	Validation
17,134	5	Title: Time is not a Healer, but it Sure Makes Hindsight 20: 20 Abstract: In the 1980s, three related impossibility results emerged in the field of distributed computing. First, Fischer, Lynch, and Paterson demonstrated that deterministic consensus is unattainable in an asynchronous message-passing system when a single...	[]	Test
17,135	8	Title: Digital Twin of a Network and Operating Environment Using Augmented Reality Abstract: We demonstrate the digital twin of a network, network elements, and operating environment using machine learning. We achieve network card failure localization and remote collaboration over 86 km of fiber using augmented reality...	[]	Test
17,136	31	Title: WYTIWYR: A User Intent‐Aware Framework with Multi‐modal Inputs for Visualization Retrieval Abstract: Retrieving charts from a large corpus is a fundamental task that can benefit numerous applications such as visualization recommendations. The retrieved results are expected to conform to both explicit visual attr...	[]	Train
17,137	16	Title: Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network Abstract: Human communication is the vocal and non verbal signal to communicate with others. Human expression is a significant biometric object in picture and record databases of surveillance systems. Face appreciation has...	[ 5154, 25547 ]	Train
17,138	30	Title: Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension Abstract: Prompting has become an important mechanism by which users can more effectively interact with many flavors of foundation model. Indeed, the last several years have shown that well-honed prompts can someti...	[ 33809 ]	Train
17,139	24	Title: STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting Abstract: Efficiently capturing the complex spatiotemporal representations from large-scale unlabeled traffic data remains to be a challenging task. In considering of the dilemma, this work employs the advanced co...	[]	Train
17,140	23	Title: Knowledge-Based Version Incompatibility Detection for Deep Learning Abstract: Version incompatibility issues are rampant when reusing or reproducing deep learning models and applications. Existing techniques are limited to library dependency specifications declared in PyPI. Therefore, these techniques cannot det...	[ 23252, 31189 ]	Train
17,141	27	Title: Time-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles Abstract: Making safe and successful lane changes (LCs) is one of the many vitally important functions of autonomous vehicles (AVs) that are needed to ensure safe driving on expressways. Recently, t...	[]	Train
17,142	4	Title: Your Identity is Your Behavior - Continuous User Authentication based on Machine Learning and Touch Dynamics Abstract: The aim of this research paper is to look into the use of continuous authentication with mobile touch dynamics, using three different algorithms: Neural Network, Extreme Gradient Boosting, and S...	[ 6068 ]	Validation
17,143	22	Title: Context-Aware Separation Logic Abstract: Separation logic is often praised for its ability to closely mimic the locality of state updates when reasoning about them at the level of assertions. The prover only needs to concern themselves with the footprint of the computation at hand, i.e., the part of the state th...	[ 20143 ]	Test
17,144	16	Title: Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database Abstract: Background and objective: The usage of machine learning in medical diagnosis and treatment has witnessed significant growth in recent years through the development of computer-aided diagnosis systems that are of...	[]	Train
17,145	26	Title: Social Media Harms as a Trilemma: Asymmetry, Algorithms, and Audacious Design Choices Abstract: Social media has expanded in its use, and reach, since the inception of early social networks in the early 2000s. Increasingly, users turn to social media for keeping up to date with current affairs and information. H...	[]	Train
17,146	25	Title: Single and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Features Abstract: Synthetic-voice cloning technologies have seen significant advances in recent years, giving rise to a range of potential harms. From small- and large-scale financial fraud to disinformation campaigns, the need for reli...	[]	Train
17,147	27	Title: Structured World Models from Human Videos Abstract: We tackle the problem of learning complex, general behaviors directly in the real world. We propose an approach for robots to efficiently learn manipulation skills using only a handful of real-world interaction trajectories from many different settings. Inspire...	[ 13816, 21457, 11211 ]	Train
17,148	5	Title: Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs Abstract: In recent years the use of FPGAs to accelerate scientific applications has grown, with numerous applications demonstrating the benefit of FPGAs for high performance workloads. However, whilst High Level Synthesis (HL...	[ 1879 ]	Train
17,149	28	Title: New sets of Non-Orthogonal Spreading Sequences With Low Correlation and Low PAPR Using Extended Boolean Functions Abstract: Extended Boolean functions (EBFs) are one of the most important tools in cryptography and spreading sequence design in communication systems. In this paper, we use EBFs to design new sets o...	[]	Test
17,150	7	Title: HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation Abstract: Hybrid Optimization Software Suite (HOSS), which is a combined finite-discrete element method (FDEM), is one of the advanced approaches to simulating high-fidelity fracture and fragmentation processes but the applicati...	[]	Train
17,151	27	Title: Object Reconfiguration with Simulation-Derived Feasible Actions Abstract: 3D object reconfiguration encompasses common robot manipulation tasks in which a set of objects must be moved through a series of physically feasible state changes into a desired final configuration. Object reconfiguration is challenging t...	[]	Train
17,152	13	Title: Mixed-Precision Quantization with Cross-Layer Dependencies Abstract: Quantization is commonly used to compress and accelerate deep neural networks. Quantization assigning the same bit-width to all layers leads to large accuracy degradation at low precision and is wasteful at high precision settings. Mixed-precis...	[]	Train
17,153	24	Title: Reward Design with Language Models Abstract: Reward design in reinforcement learning (RL) is challenging since specifying human notions of desired behavior may be difficult via reward functions or require many expert demonstrations. Can we instead cheaply design rewards using a natural language interface? This p...	[ 21893, 40330, 14991, 10770, 3347, 3219, 21782, 34457, 11937, 8231, 15527, 35495, 45736, 29612, 40510, 3526, 10054, 21190, 29516, 3661, 3793, 38874, 35292, 23397, 25830, 5484, 39158, 44537, 16890 ]	Test
17,154	16	Title: Improving Masked Autoencoders by Learning Where to Mask Abstract: Masked image modeling is a promising self-supervised learning method for visual data. It is typically built upon image patches with random masks, which largely ignores the variation of information density between them. The question is: Is there a ...	[ 9620, 40231, 26359 ]	Train
17,155	9	Title: On the Existence of Anomalies Abstract: The Independence Postulate (IP) is a finitary Church-Turing Thesis, saying mathematical sequences are independent from physical ones. IP implies the existence of anomalies.	[ 27105 ]	Train
17,156	26	Title: Optimal Inference in Contextual Stochastic Block Models Abstract: The contextual stochastic block model (cSBM) was proposed for unsupervised community detection on attributed graphs where both the graph and the high-dimensional node information correlate with node labels. In the context of machine learning on gr...	[]	Train
17,157	16	Title: Bi-ViT: Pushing the Limit of Vision Transformer Quantization Abstract: Vision transformers (ViTs) quantization offers a promising prospect to facilitate deploying large pre-trained networks on resource-limited devices. Fully-binarized ViTs (Bi-ViT) that pushes the quantization of ViTs to its limit remain largely...	[]	Validation
17,158	6	Title: Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis Abstract: The information transmission rate (ITR), or effective bit rate, is a popular and widely used information measurement metric, particularly popularized for SSVEP-based Brain-Computer (BCI) interfaces. By combining speed and accuracy ...	[]	Train
17,159	16	Title: FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection Abstract: Change detection for aerial imagery involves locating and identifying changes associated with the areas of interest between co-registered bi-temporal or multi-temporal images of a geographical location. Farm ponds are man-made structures b...	[]	Train
17,160	27	Title: Efficient Baselines for Motion Prediction in Autonomous Driving Abstract: Motion Prediction (MP) of multiple surroundings agents is a crucial task in arbitrarily complex environments, from simple robots to Autonomous Driving Stacks (ADS). Current techniques tackle this problem using end-to-end pipelines, where t...	[ 18283 ]	Train
17,161	16	Title: OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection Abstract: Neurodevelopmental disorders (NDDs) are a highly prevalent group of disorders and represent strong clinical behavioral similarities, and that make it very challenging for accurate identification of different NDDs such as autism sp...	[]	Train
17,162	4	Title: Code Difference Guided Adversarial Example Generation for Deep Code Models Abstract: Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex grammar and semantics constraints, the adversarial example generation tec...	[]	Test
17,163	27	Title: Embracing Safe Contacts with Contact-aware Planning and Control Abstract: Unlike human beings that can employ the entire surface of their limbs as a means to establish contact with their environment, robots are typically programmed to interact with their environments via their end-effectors, in a collision-free ...	[]	Train
17,164	13	Title: CDDO-HS: Child Drawing Development Optimization Harmony Search Algorithm Abstract: Child drawing development optimization (CDDO) is a recent example of a metaheuristic algorithm. The motive for inventing this method is children’s learning behavior and cognitive development, with the golden ratio being employed t...	[]	Validation
17,165	5	Title: Shoal: Improving DAG-BFT Latency And Robustness Abstract: The Narwhal system is a state-of-the-art Byzantine fault-tolerant scalable architecture that involves constructing a directed acyclic graph (DAG) of messages among a set of validators in a Blockchain network. Bullshark is a zero-overhead consensus protoco...	[]	Validation
17,166	2	Title: Decidability of Querying First-Order Theories via Countermodels of Finite Width Abstract: We propose a generic framework for establishing the decidability of a wide range of logical entailment problems (briefly called querying), based on the existence of countermodels that are structurally simple, gauged by cert...	[ 44237 ]	Test
17,167	24	Title: Forecasting, capturing and activation of carbon-dioxide CO2: Integration of Time Series Analysis, Machine Learning, and Material Design Abstract: This study provides a comprehensive time series analysis of daily industry-specific, country-wise CO$_2$ emissions from January 2019 to February 2023. The research foc...	[]	Train
17,168	10	Title: Causal Fairness for Outcome Control Abstract: As society transitions towards an AI-based decision-making infrastructure, an ever-increasing number of decisions once under control of humans are now delegated to automated systems. Even though such developments make various parts of society more efficient, a large ...	[]	Train
17,169	24	Title: MLRegTest: A Benchmark for the Machine Learning of Regular Languages Abstract: Evaluating machine learning (ML) systems on their ability to learn known classifiers allows fine-grained examination of the patterns they can learn, which builds confidence when they are applied to the learning of unknown classifiers....	[ 6594, 15973 ]	Validation
17,170	16	Title: SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking Abstract: Vision-based object tracking has boosted extensive autonomous applications for unmanned aerial vehicles (UAVs). However, the dynamic changes in flight maneuver and viewpoint encountered in UAV tracking pose significant difficulties, e....	[ 14051 ]	Test
17,171	28	Title: Near-Field 3D Localization via MIMO Radar: Cramér-Rao Bound and Estimator Design Abstract: Future sixth-generation (6G) networks are envisioned to provide both sensing and communications functionalities by using densely deployed base stations (BSs) with massive antennas operating in millimeter wave (mmWave) and ...	[]	Train
17,172	4	Title: BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense Abstract: Deep Learning backdoor attacks have a threat model similar to traditional cyber attacks. Attack forensics, a critical counter-measure for traditional cyber attacks, is hence of importance for defending model backdoor attacks. In this...	[ 31944, 26094 ]	Train
17,173	30	Title: Is GPT a Computational Model of Emotion? Detailed Analysis Abstract: This paper investigates the emotional reasoning abilities of the GPT family of large language models via a component perspective. The paper first examines how the model reasons about autobiographical memories. Second, it systematically varies a...	[ 21401 ]	Validation
17,174	24	Title: Learning Decorrelated Representations Efficiently Using Fast Fourier Transform Abstract: Barlow Twins and VICReg are self-supervised representation learning models that use regularizers to decorrelate features. Although these models are as effective as conventional representation learning models, their training ...	[]	Train
17,175	9	Title: Planar 3-way Edge Perfect Matching Leads to A Holant Dichotomy Abstract: We prove a complexity dichotomy theorem for a class of Holant problems on planar 3-regular bipartite graphs. The complexity dichotomy states that for every weighted constraint function $f$ defining the problem (the weights can even be negat...	[]	Train
17,176	24	Title: Versatile Energy-Based Probabilistic Models for High Energy Physics Abstract: As a classical generative modeling approach, energy-based models have the natural advantage of flexibility in the form of the energy function. Recently, energy-based models have achieved great success in modeling high-dimensional data ...	[]	Validation
17,177	4	Title: Zero-Effort Two-Factor Authentication Using Wi-Fi Radio Wave Transmission and Machine Learning Abstract: The proliferation of sensitive information being stored online highlights the pressing need for secure and efficient user authentication methods. To address this issue, this paper presents a novel zero-effort...	[]	Train

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