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
34,678	30	Title: Measuring Lexical Diversity in Texts: The Twofold Length Problem Abstract: The impact of text length on the estimation of lexical diversity has captured the attention of the scientific community for more than a century. Numerous indices have been proposed, and many studies have been conducted to evaluate them, b...	[]	Train
34,679	24	Title: Approximation theory of transformer networks for sequence modeling Abstract: The transformer is a widely applied architecture in sequence modeling applications, but the theoretical understanding of its working principles is limited. In this work, we investigate the ability of transformers to approximate sequenti...	[]	Validation
34,680	16	Title: Trust your neighbours: Penalty-based constraints for model calibration Abstract: Ensuring reliable confidence scores from deep networks is of pivotal importance in critical decision-making systems, notably in the medical domain. While recent literature on calibrating deep segmentation networks has led to signifi...	[ 35603 ]	Train
34,681	10	Title: Evidence of Human-Like Visual-Linguistic Integration in Multimodal Large Language Models During Predictive Language Processing Abstract: The advanced language processing abilities of large language models (LLMs) have stimulated debate over their capacity to replicate human-like cognitive processes. One different...	[ 3457, 28515, 33220, 19720, 31113, 36631 ]	Train
34,682	4	Title: Measuring and Evading Turkmenistan’s Internet Censorship: A Case Study in Large-Scale Measurements of a Low-Penetration Country Abstract: Since 2006, Turkmenistan has been listed as one of the few Internet enemies by Reporters without Borders due to its extensively censored Internet and strictly regulated inform...	[ 38085 ]	Train
34,683	24	Title: Tracing and Manipulating intermediate values in Neural Math Problem Solvers Abstract: How language models process complex input that requires multiple steps of inference is not well understood. Previous research has shown that information about intermediate values of these inputs can be extracted from the activa...	[]	Train
34,684	3	Title: Election Polarization: Mapping citizen divisions through elections Abstract: Elections can unveil citizens' enthusiasm and discomfort concerning political candidates, parties, and issues. While a substantial body of literature studies the election outcomes from the perspective of winners and losers, an under-exp...	[]	Train
34,685	27	Title: On the Impact of Interruptions During Multi-Robot Supervision Tasks Abstract: Human supervisors in multi-robot systems are primarily responsible for monitoring robots, but can also be assigned with secondary tasks. These tasks can act as interruptions and can be categorized as either intrinsic, i.e., being direc...	[]	Train
34,686	4	Title: Capstone: A Capability-based Foundation for Trustless Secure Memory Access (Extended Version) Abstract: Capability-based memory isolation is a promising new architectural primitive. Software can access low-level memory only via capability handles rather than raw pointers, which provides a natural interface to en...	[ 40608 ]	Train
34,687	16	Title: Video Frame Interpolation with Stereo Event and Intensity Camera Abstract: The stereo event-intensity camera setup is widely applied to leverage the advantages of both event cameras with low latency and intensity cameras that capture accurate brightness and texture information. However, such a setup commonly enc...	[]	Train
34,688	30	Title: Copy is All You Need Abstract: The dominant text generation models compose the output by sequentially selecting words from a fixed vocabulary. In this paper, we formulate text generation as progressively copying text segments (e.g., words or phrases) from an existing text collection. We compute the contextualize...	[ 35955, 32287 ]	Validation
34,689	16	Title: Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition Abstract: Due to the enormous technical challenges and wide range of applications, scene text recognition (STR) has been an active research topic in computer vision for years. To tackle this tough problem, numerous innovative methods h...	[ 4643 ]	Train
34,690	4	Title: Cyber-Resilience Approaches for Cyber-Physical Systems Abstract: Concerns for the resilience of Cyber-Physical Systems (CPS) in critical infrastructure are growing. CPS integrate sensing, computation, control and networking into physical objects and mission-critical services, connecting traditional infrastructur...	[]	Train
34,691	18	Title: Effects of Imperfections on Quantum Algorithms: A Software Engineering Perspective Abstract: Quantum computers promise considerable speedups over classical approaches, which has raised interest from many disciplines. Since any currently available implementations suffer from noise and imperfections, achieving con...	[]	Train
34,692	4	Title: Secure and Scalable Circuit-based Protocol for Multi-Party Private Set Intersection Abstract: We propose a novel protocol for computing a circuit which implements the multi-party private set intersection functionality (PSI). Circuit-based approach has advantages over using custom protocols to achieve this task, ...	[]	Train
34,693	16	Title: DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models Abstract: Hand mesh reconstruction from the monocular image is a challenging task due to its depth ambiguity and severe occlusion, there remains a non-unique mapping between the monocular image and hand mesh. To address this, we develop DiffHand,...	[ 36485 ]	Train
34,694	16	Title: SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models Abstract: Modern text-to-image generation models produce high-quality images that are both photorealistic and faithful to the text prompts. However, this quality comes at significant computational cost: nearly all of these models are ite...	[ 28532 ]	Train
34,695	6	Title: Towards a New Interface for Music Listening: A User Experience Study on YouTube Abstract: In light of the enduring success of music streaming services, it is noteworthy that an increasing number of users are positively gravitating toward YouTube as their preferred platform for listening to music. YouTube differs...	[]	Validation
34,696	10	Title: Explaining Model Confidence Using Counterfactuals Abstract: Displaying confidence scores in human-AI interaction has been shown to help build trust between humans and AI systems. However, most existing research uses only the confidence score as a form of communication. As confidence scores are just another model...	[]	Train
34,697	16	Title: Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection Abstract: In incremental learning, replaying stored samples from previous tasks together with current task samples is one of the most efficient approaches to address catastrophic forgetting. However, unlike incremental classificat...	[]	Train
34,698	33	Title: Bideterministic Weighted Automata Abstract: nan	[]	Validation
34,699	16	Title: On the Stability-Plasticity Dilemma of Class-Incremental Learning Abstract: A primary goal of class-incremental learning is to strike a balance between stability and plasticity, where models should be both stable enough to retain knowledge learned from previously seen classes, and plastic enough to learn concept...	[ 23777 ]	Train
34,700	24	Title: Kernel t-distributed stochastic neighbor embedding Abstract: This paper presents a kernelized version of the t-SNE algorithm, capable of mapping high-dimensional data to a low-dimensional space while preserving the pairwise distances between the data points in a non-Euclidean metric. This can be achieved using a...	[]	Test
34,701	16	Title: JourneyDB: A Benchmark for Generative Image Understanding Abstract: While recent advancements in vision-language models have revolutionized multi-modal understanding, it remains unclear whether they possess the capabilities of comprehending the generated images. Compared to real data, synthetic images exhibit a ...	[ 10624, 37987, 33220, 13700, 41104, 27282, 43771 ]	Train
34,702	16	Title: Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equation Abstract: Tractography traces the peak directions extracted from fiber orientation distribution (FOD) suffering from ambiguous spatial correspondences between diffusion directions and fiber geometry, which is p...	[]	Test
34,703	14	Title: Fast evaluation and root finding for polynomials with floating-point coefficients Abstract: Evaluating or finding the roots of a polynomial f(z) = f0 + ⋅⋅⋅ + fdzd with floating-point number coefficients is a ubiquitous problem. By using a piecewise approximation of f obtained with a careful use of the Newton pol...	[]	Validation
34,704	10	Title: Efficient Computation of Counterfactual Bounds Abstract: We assume to be given structural equations over discrete variables inducing a directed acyclic graph, namely, a structural causal model, together with data about its internal nodes. The question we want to answer is how we can compute bounds for partially ...	[]	Validation
34,705	29	Title: MEMO : Accelerating Transformers with Memoization on Big Memory Systems Abstract: Transformer models gain popularity because of their superior inference accuracy and inference throughput. However, the transformer is computation-intensive, causing a long inference time. The existing works on transformer inference...	[ 13700 ]	Test
34,706	30	Title: ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings Abstract: We propose ConGraT(Contrastive Graph-Text pretraining), a general, self-supervised method for jointly learning separate representations of texts and nodes in a parent (or ``supervening'') graph, where each text is asso...	[]	Test
34,707	4	Title: On Feasibility of Server-side Backdoor Attacks on Split Learning Abstract: Split learning is a collaborative learning design that allows several participants (clients) to train a shared model while keeping their datasets private. In split learning, the network is split into two halves: clients have the initial p...	[]	Train
34,708	16	Title: ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data Abstract: Despite powering sensitive systems like autonomous vehicles, object detection remains fairly brittle in part due to annotation errors that plague most real-world training datasets. We propose ObjectLab, a straightforward algor...	[]	Train
34,709	26	Title: A Higher-Order Temporal H-Index for Evolving Networks Abstract: The H-index of a node in a static network is the maximum value h such that at least h of its neighbors have a degree of at least h. Recently, a generalized version, the n-th order H-index, was introduced, allowing to relate degree centrality, H-inde...	[]	Validation
34,710	31	Title: Reward-free Policy Imitation Learning for Conversational Search Abstract: Existing conversational search studies mainly focused on asking better clarifying questions and/or improving search result quality. These works aim at retrieving better responses according to the search context, and their performances are ...	[]	Train
34,711	27	Title: Bionic Collapsible Wings in Aquatic-aerial Robot Abstract: The concept of aerial-aquatic robots has emerged as an innovative solution that can operate both in the air and underwater. Previous research on the design of such robots has been mainly focused on mature technologies such as fixed-wing and multi-rotor a...	[]	Train
34,712	24	Title: FAIRER: Fairness as Decision Rationale Alignment Abstract: Deep neural networks (DNNs) have made significant progress, but often suffer from fairness issues, as deep models typically show distinct accuracy differences among certain subgroups (e.g., males and females). Existing research addresses this critical is...	[ 44201, 27260 ]	Train
34,713	24	Title: Cloud Ensemble Learning for Fault Diagnosis of Rolling Bearings with Stochastic Configuration Networks Abstract: Fault diagnosis of rolling bearings is of great significance for post-maintenance in rotating machinery, but it is a challenging work to diagnose faults efficiently with a few samples. Additionally, f...	[]	Test
34,714	25	Title: More Perspectives Mean Better: Underwater Target Recognition and Localization with Multimodal Data via Symbiotic Transformer and Multiview Regression Abstract: Underwater acoustic target recognition (UATR) and localization (UATL) play important roles in marine exploration. The highly noisy acoustic signal and ti...	[]	Validation
34,715	24	Title: An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient Abstract: Restricting the variance of a policy's return is a popular choice in risk-averse Reinforcement Learning (RL) due to its clear mathematical definition and easy interpretability. Traditional methods directly restrict the total ret...	[]	Test
34,716	18	Title: Approximate Reversible Circuits for NISQ-Era Quantum Computers Abstract: The synthesis approaches for quantum circuits typically aim at minimizing the number of lines or gates. Given the tight restrictions on those logical resources in physical implementations, we propose to view the problem fundamentally differ...	[]	Validation
34,717	30	Title: Large Language Models Are Not Abstract Reasoners Abstract: Large Language Models have shown tremendous performance on a large variety of natural language processing tasks, ranging from text comprehension to common sense reasoning. However, the mechanisms responsible for this success remain unknown, and it is unc...	[ 3745, 10019, 13700, 16837, 13510, 33220, 4406 ]	Train
34,718	16	Title: Facial Affective Behavior Analysis Method for 5th ABAW Competition Abstract: Facial affective behavior analysis is important for human-computer interaction. 5th ABAW competition includes three challenges from Aff-Wild2 database. Three common facial affective analysis tasks are involved, i.e. valence-arousal esti...	[ 38944, 1305, 23458, 23627 ]	Train
34,719	24	Title: A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges Abstract: The recent"pre-train, prompt, predict training"paradigm has gained popularity as a way to learn generalizable models with limited labeled data. The approach involves using a pre-trained model and a prompting function that app...	[ 18949, 13510, 33800, 43981, 21299, 39316, 16826, 17309 ]	Train
34,720	16	Title: LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery Abstract: Lake extraction from remote sensing imagery is challenging due to the complex shapes of lakes and the presence of noise. Existing methods suffer from blurred segmentation boundaries and poor foregro...	[ 33521 ]	Validation
34,721	16	Title: Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation Abstract: Video-based scene graph generation (VidSGG) is an approach that aims to represent video content in a dynamic graph by identifying visual entities and their relationships. Due to the inherently biased distribution...	[]	Train
34,722	10	Title: UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction Abstract: Accurate Urban SpatioTemporal Prediction (USTP) is of great importance to the development and operation of the smart city. As an emerging building block, multi-sourced urban data are usually integrated as urban knowledge gr...	[ 12905, 27746 ]	Train
34,723	8	Title: Intrusion Detection Systems for Flying Ad-hoc Networks Abstract: Unmanned Aerial Vehicles (UAVs) are becoming more dependent on mission success than ever. Due to their increase in demand, addressing security vulnerabilities to both UAVs and the Flying Ad-hoc Networks (FANET) they form is more important than ever...	[]	Train
34,724	30	Title: HQP: A Human-Annotated Dataset for Detecting Online Propaganda Abstract: Online propaganda poses a severe threat to the integrity of societies. However, existing datasets for detecting online propaganda have a key limitation: they were annotated using weak labels that can be noisy and even incorrect. To address ...	[ 12673, 12634, 20503 ]	Validation
34,725	36	Title: Market Design for Dynamic Pricing and Pooling in Capacitated Networks Abstract: We study a market mechanism that sets edge prices to incentivize strategic agents to organize trips that efficiently share limited network capacity. This market allows agents to form groups to share trips, make decisions on departure...	[]	Train
34,726	30	Title: Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction Abstract: Document-level relation extraction (DocRE) aims to infer complex semantic relations among entities in a document. Distant supervision (DS) is able to generate massive auto-labeled data, which can improve DocRE performance...	[]	Train
34,727	24	Title: Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract) Abstract: In this paper, we measure the privacy leakage via studying whether graph representations can be inverted to recover the graph used to generate them via graph reconstruction attack (GRA). We p...	[ 8366 ]	Train
34,728	24	Title: ECGAN: Self-supervised generative adversarial network for electrocardiography Abstract: High-quality synthetic data can support the development of effective predictive models for biomedical tasks, especially in rare diseases or when subject to compelling privacy constraints. These limitations, for instance, nega...	[ 37428 ]	Train
34,729	3	Title: Integrating Information Technology in Healthcare: Recent Developments, Challenges, and Future Prospects for Urban and Regional Health Abstract: The use of technology in healthcare has become increasingly popular in recent years, with the potential to improve how healthcare is delivered, patient outcomes, and cos...	[ 16664, 15996 ]	Train
34,730	30	Title: Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation Abstract: Conversational tutoring systems (CTSs) aim to help students master educational material with natural language interaction in the form of a dialog. CTSs have become a key pillar in educational data mining resear...	[ 45239, 9527 ]	Test
34,731	27	Title: R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Abstract: Autonomous robotic systems, like autonomous vehicles and robotic search and rescue, require efficient on-device training for continuous adaptation of Deep Reinforcement Learning (DRL) models in dynamic environments. This resea...	[ 1858, 7558, 2254, 6895, 11857, 21172, 17690 ]	Train
34,732	24	Title: GUARD: A Safe Reinforcement Learning Benchmark Abstract: Due to the trial-and-error nature, it is typically challenging to apply RL algorithms to safety-critical real-world applications, such as autonomous driving, human-robot interaction, robot manipulation, etc, where such errors are not tolerable. Recently, s...	[ 3904, 1746, 3611, 21636 ]	Train
34,733	25	Title: Analysing the Masked predictive coding training criterion for pre-training a Speech Representation Model Abstract: Recent developments in pre-trained speech representation utilizing self-supervised learning (SSL) have yielded exceptional results on a variety of downstream tasks. One such technique, known as mask...	[]	Train
34,734	37	Title: Aggregation Consistency Errors in Semantic Layers and How to Avoid Them Abstract: Analysts often struggle with analyzing data from multiple tables in a database due to their lack of knowledge on how to join and aggregate the data. To address this, data engineers pre-specify "semantic layers" which include the jo...	[ 39282, 3757 ]	Train
34,735	24	Title: Shedding light on underrepresentation and Sampling Bias in machine learning Abstract: Accurately measuring discrimination is crucial to faithfully assessing fairness of trained machine learning (ML) models. Any bias in measuring discrimination leads to either amplification or underestimation of the existing disp...	[]	Test
34,736	4	Title: TSNZeek: An Open-source Intrusion Detection System for IEEE 802.1 Time-sensitive Networking Abstract: IEEE 802.1 Time-sensitive Networking (TSN) standards are envisioned to replace legacy network protocols in critical domains to ensure reliable and deterministic communication over off-the-shelf Ethernet equipmen...	[]	Test
34,737	24	Title: Comparing the quality of neural network uncertainty estimates for classification problems Abstract: Traditional deep learning (DL) models are powerful classifiers, but many approaches do not provide uncertainties for their estimates. Uncertainty quantification (UQ) methods for DL models have received increased a...	[]	Validation
34,738	30	Title: MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities Abstract: The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new entities belonging to the same semantic class. Conventional ESE methods are based on mono-modality (i.e....	[ 3771, 45300, 26573, 9179 ]	Test
34,739	16	Title: Single-Stage Heavy-Tailed Food Classification Abstract: Deep learning based food image classification has enabled more accurate nutrition content analysis for image-based dietary assessment by predicting the types of food in eating occasion images. However, there are two major obstacles to apply food classificat...	[ 14129, 8851, 43742 ]	Train
34,740	6	Title: Encouraging Emotion Regulation in Social Media Conversations through Self-Reflection Abstract: Anonymity in social media platforms keeps users hidden behind a keyboard. This absolves users of responsibility, allowing them to engage in online rage, hate speech, and other text-based toxicity that harms online well...	[]	Validation
34,741	6	Title: Encoding Variables, Evaluation Criteria and Evaluation Methods for Data Physicalizations: A Review Abstract: Data physicalisations, or physical visualisations, represent data physically, using variable properties of physical media. As an emerging area, Data physicalisation research needs conceptual foundations t...	[]	Test
34,742	6	Title: Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making Abstract: Artificial intelligence (AI) is increasingly being considered to assist human decision-making in high-stake domains (e.g. health). However, researchers have discussed ...	[ 43726 ]	Train
34,743	5	Title: Pipit: Enabling programmatic analysis of parallel execution traces Abstract: Performance analysis is an important part of the oft-repeated, iterative process of performance tuning during the development of parallel programs. Per-process per-thread traces (detailed logs of events with timestamps) enable in-depth ...	[]	Train
34,744	16	Title: A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data Abstract: Patient outcome prediction is critical in management of ischemic stroke. In this paper, a novel machine learning model is proposed for stroke outcome prediction using multimodal Magnetic Resonance Imaging (MRI). The...	[]	Train
34,745	27	Title: What Truly Matters in Trajectory Prediction for Autonomous Driving? Abstract: In the autonomous driving system, trajectory prediction plays a vital role in ensuring safety and facilitating smooth navigation. However, we observe a substantial discrepancy between the accuracy of predictors on fixed datasets and th...	[]	Validation
34,746	4	Title: Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data Abstract: A Distributed Denial-of-service (DDoS) attack is a malicious attempt to disrupt the regular traffic of a targeted server, service, or network by sending a flood of traffic to overwhelm the t...	[]	Train
34,747	16	Title: Predicting beauty, liking, and aesthetic quality: A comparative analysis of image databases for visual aesthetics research Abstract: In the fields of Experimental and Computational Aesthetics, numerous image datasets have been created over the last two decades. In the present work, we provide a comparative overv...	[]	Train
34,748	30	Title: Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors Abstract: Fine-grained information on translation errors is helpful for the translation evaluation community. Existing approaches can not synchronously consider error position and type, failing to integrate the error inform...	[ 15400, 28437 ]	Train
34,749	16	Title: Efficient Anomaly Detection with Budget Annotation Using Semi-Supervised Residual Transformer Abstract: Anomaly Detection is challenging as usually only the normal samples are seen during training and the detector needs to discover anomalies on-the-fly. The recently proposed deep-learning-based approaches could ...	[ 42342, 40265, 17581, 29902, 25910, 1144 ]	Validation
34,750	24	Title: ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling Abstract: Modeling weather and climate is an essential endeavor to understand the near- and long-term impacts of climate change, as well as inform technology and policymaking for adaptation and mitigation efforts. In recent years, there...	[ 878 ]	Validation
34,751	6	Title: LipLearner: Customizable Silent Speech Interactions on Mobile Devices Abstract: Silent speech interface is a promising technology that enables private communications in natural language. However, previous approaches only support a small and inflexible vocabulary, which leads to limited expressiveness. We leverag...	[ 118, 16919 ]	Train
34,752	25	Title: Federated Representation Learning for Automatic Speech Recognition Abstract: Federated Learning (FL) is a privacy-preserving paradigm, allowing edge devices to learn collaboratively without sharing data. Edge devices like Alexa and Siri are prospective sources of unlabeled audio data that can be tapped to learn ...	[]	Train
34,753	24	Title: Towards true discovery of the differential equations Abstract: Differential equation discovery, a machine learning subfield, is used to develop interpretable models, particularly in nature-related applications. By expertly incorporating the general parametric form of the equation of motion and appropriate differ...	[]	Train
34,754	25	Title: Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training Abstract: Developing a practically-robust automatic speech recognition (ASR) is challenging since the model should not only maintain the original performance on clean samples, but also achieve consistent efficacy under small v...	[]	Train
34,755	10	Title: On the Planning Abilities of Large Language Models - A Critical Investigation Abstract: Intrigued by the claims of emergent reasoning capabilities in LLMs trained on general web corpora, in this paper, we set out to investigate their planning capabilities. We aim to evaluate (1) the effectiveness of LLMs in gene...	[ 31832, 39114, 12602, 33455 ]	Train
34,756	30	Title: Understanding Finetuning for Factual Knowledge Extraction from Language Models Abstract: Language models (LMs) pretrained on large corpora of text from the web have been observed to contain large amounts of various types of knowledge about the world. This observation has led to a new and exciting paradigm in kno...	[ 18572 ]	Train
34,757	10	Title: Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive-deductive reasoning on hypotheses Abstract: Many visualizations have been developed for explainable AI (XAI), but they often require further reasoning by users to interpret. We argue that XAI should support diagrammatic and abductiv...	[ 40993, 34343 ]	Train
34,758	24	Title: Exponential Smoothing for Off-Policy Learning Abstract: Off-policy learning (OPL) aims at finding improved policies from logged bandit data, often by minimizing the inverse propensity scoring (IPS) estimator of the risk. In this work, we investigate a smooth regularization for IPS, for which we derive a two-side...	[ 35439 ]	Train
34,759	16	Title: OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation Abstract: Continuous mid-air hand gesture recognition based on captured hand pose streams is fundamental for human-computer interaction, particularly in AR / VR. However, many of the meth...	[ 8562 ]	Train
34,760	16	Title: Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance Abstract: Sketch-based terrain generation seeks to create realistic landscapes for virtual environments in various applications such as computer games, animation and virtual reality. Recently, deep learning based terrain...	[ 29706, 34074, 11820, 2386, 41146 ]	Train
34,761	31	Title: Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation Abstract: Multimedia content is of predominance in the modern Web era. Many recommender models have been proposed to investigate how users interact with items which are represented in diverse modalities. In real scenarios, d...	[]	Train
34,762	24	Title: Embeddings for Tabular Data: A Survey Abstract: Tabular data comprising rows (samples) with the same set of columns (attributes, is one of the most widely used data-type among various industries, including financial services, health care, research, retail, and logistics, to name a few. Tables are becoming the na...	[]	Train
34,763	10	Title: Strategy Extraction in Single-Agent Games Abstract: The ability to continuously learn and adapt to new situations is one where humans are far superior compared to AI agents. We propose an approach to knowledge transfer using behavioural strategies as a form of transferable knowledge influenced by the human cogni...	[ 31457 ]	Train
34,764	4	Title: Detecting Excessive Data Exposures in Web Server Responses with Metamorphic Fuzzing Abstract: APIs often transmit far more data to client applications than they need, and in the context of web applications, often do so over public channels. This issue, termed Excessive Data Exposure (EDE), was OWASP's third most...	[]	Train
34,765	16	Title: A New Dataset and Comparative Study for Aphid Cluster Detection Abstract: Aphids are one of the main threats to crops, rural families, and global food security. Chemical pest control is a necessary component of crop production for maximizing yields, however, it is unnecessary to apply the chemical approaches to ...	[ 1201, 13967 ]	Train
34,766	16	Title: SoccerKDNet: A Knowledge Distillation Framework for Action Recognition in Soccer Videos Abstract: Classifying player actions from soccer videos is a challenging problem, which has become increasingly important in sports analytics over the years. Most state-of-the-art methods employ highly complex offline network...	[]	Train
34,767	24	Title: Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems Abstract: Reasoning system dynamics is one of the most important analytical approaches for many scientific studies. With the initial state of a system as input, the recent graph neural networks (GNNs)-based methods are capable of predic...	[]	Train
34,768	4	Title: SCANTRAP: Protecting Content Management Systems from Vulnerability Scanners with Cyber Deception and Obfuscation Abstract: Every attack begins with gathering information about the target. The entry point for network breaches are often vulnerabilities in internet facing websites, which often rely on an off-the-sh...	[]	Validation
34,769	5	Title: Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference Abstract: Mixture-of-Experts (MoE) models have gained popularity in achieving state-of-the-art performance in a wide range of tasks in computer vision and natural language processing. They effectively expand the model capacity...	[ 43468 ]	Train
34,770	23	Title: Does Cyclomatic or Cognitive Complexity Better Represents Code Understandability? An Empirical Investigation on the Developers Perception Abstract: Background. Code understandability is fundamental. Developers need to clearly understand the code they are modifying. A low understandability can increase the amount...	[]	Train
34,771	25	Title: Multi-Subdomain Adversarial Network for Cross-Subject EEG-based Emotion Recognition Abstract: The individual difference between subjects is significant in EEG-based emotion recognition, resulting in the difficulty of sharing the model across subjects. Previous studies use domain adaptation algorithms to minimize...	[]	Validation
34,772	30	Title: One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning Abstract: Fine-tuning pre-trained language models for multiple tasks can be expensive in terms of storage.Parameter-efficient transfer learning (PETL) methods have been proposed to address this issue, but they still require a significant...	[ 38453 ]	Train
34,773	16	Title: Fighting over-fitting with quantization for learning deep neural networks on noisy labels Abstract: The rising performance of deep neural networks is often empirically attributed to an increase in the available computational power, which allows complex models to be trained upon large amounts of annotated data. H...	[ 40514 ]	Test
34,774	27	Title: Perceptive Locomotion through Whole-Body MPC and Optimal Region Selection Abstract: Real-time synthesis of legged locomotion maneuvers in challenging industrial settings is still an open problem, requiring simultaneous determination of footsteps locations several steps ahead while generating whole-body motions c...	[ 4982 ]	Train
34,775	6	Title: Virtualization of Classical Reality: Limits and Possibilities in Physical Simulation Abstract: This study explores the virtualization of classical reality and aims to establish a clear framework to determine the limits and possibilities of virtual reality. It addresses two primary questions: whether an observer'...	[]	Validation
34,776	30	Title: Event Temporal Relation Extraction with Bayesian Translational Model Abstract: Existing models to extract temporal relations between events lack a principled method to incorporate external knowledge. In this study, we introduce Bayesian-Trans, a Bayesian learning-based method that models the temporal relation re...	[]	Validation
34,777	27	Title: Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces Abstract: Driving under varying road conditions is challenging, especially for autonomous vehicles that must adapt in real-time to changes in the environment, e.g., rain, snow, etc. It is difficult to apply offline learning-ba...	[]	Test

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.