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
43,378	24	Title: Unveiling the Hessian's Connection to the Decision Boundary Abstract: Understanding the properties of well-generalizing minima is at the heart of deep learning research. On the one hand, the generalization of neural networks has been connected to the decision boundary complexity, which is hard to study in the hi...	[ 19853 ]	Train
43,379	4	Title: Longest-chain Attacks: Difficulty Adjustment and Timestamp Verifiability Abstract: We study an adversary who attacks a Proof-of-Work (POW) blockchain by selfishly constructing an alternative longest chain. We characterize optimal strategies employed by the adversary when a difficulty adjustment rule al\`a Bitcoi...	[]	Validation
43,380	30	Title: AI vs. Human -- Differentiation Analysis of Scientific Content Generation Abstract: Recent neural language models have taken a significant step forward in producing remarkably controllable, fluent, and grammatical text. Although studies have found that AI-generated text is not distinguishable from human-written ...	[ 35785, 18035, 6836, 38235, 35580 ]	Train
43,381	9	Title: Properly Learning Decision Trees with Queries Is NP-Hard Abstract: We prove that it is NP-hard to properly PAC learn decision trees with queries, resolving a longstanding open problem in learning theory (Bshouty 1993; Guijarro-Lavin-Raghavan 1999; Mehta-Raghavan 2002; Feldman 2016). While there has been a long l...	[ 12464 ]	Train
43,382	16	Title: A Graph Multi-separator Problem for Image Segmentation Abstract: We propose a novel abstraction of the image segmentation task in the form of a combinatorial optimization problem that we call the multi-separator problem. Feasible solutions indicate for every pixel whether it belongs to a segment or a segment sep...	[]	Test
43,383	30	Title: Quantifying the Dissimilarity of Texts Abstract: Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering. In this paper, we compared the properties and performance o...	[]	Train
43,384	16	Title: Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images Abstract: Reconstructing hand-held objects from monocular RGB images is an appealing yet challenging task. In this task, contacts between hands and objects provide important cues for recovering the 3D geometry of the...	[]	Train
43,385	16	Title: Zorro: the masked multimodal transformer Abstract: Attention-based models are appealing for multimodal processing because inputs from multiple modalities can be concatenated and fed to a single backbone network - thus requiring very little fusion engineering. The resulting representations are however fully entan...	[ 4664, 14999, 14183 ]	Train
43,386	27	Title: Spatiotemporal Modeling of Grip Forces Captures Proficiency in Manual Robot Control Abstract: New technologies for monitoring grip forces during hand and finger movements in non-standard task contexts have provided unprecedented functional insights into somatosensory cognition. Somatosensory cognition is the bas...	[]	Train
43,387	16	Title: Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization Abstract: The self-media era provides us tremendous high quality videos. Unfortunately, frequent video copyright infringements are now seriously damaging the interests and enthusiasm of video creators. Identifying infrin...	[ 7874 ]	Train
43,388	24	Title: Grokking modular arithmetic Abstract: We present a simple neural network that can learn modular arithmetic tasks and exhibits a sudden jump in generalization known as ``grokking''. Concretely, we present (i) fully-connected two-layer networks that exhibit grokking on various modular arithmetic tasks under vanill...	[ 27880, 29461, 45534 ]	Train
43,389	24	Title: Optimal Approximation Complexity of High-Dimensional Functions with Neural Networks Abstract: We investigate properties of neural networks that use both ReLU and $x^2$ as activation functions and build upon previous results to show that both analytic functions and functions in Sobolev spaces can be approximated ...	[]	Train
43,390	30	Title: AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature Abstract: Creating an abridged version of a text involves shortening it while maintaining its linguistic qualities. In this paper, we examine this task from an NLP perspective for the first time. We present a new resource, AbL...	[]	Train
43,391	16	Title: Two-Stage Holistic and Contrastive Explanation of Image Classification Abstract: The need to explain the output of a deep neural network classifier is now widely recognized. While previous methods typically explain a single class in the output, we advocate explaining the whole output, which is a probability dist...	[ 34343 ]	Train
43,392	27	Title: Design of Whisker-Inspired Sensors for Multi-Directional Hydrodynamic Sensing Abstract: This research develops a novel sensor for aquatic robots inspired by the whiskers of harbor seals. This sensor can detect the movement of water, offering valuable data on speed, currents, barriers, and water disturbance. It e...	[]	Test
43,393	16	Title: A Complementarity-Based Switch-Fuse System for Improved Visual Place Recognition Abstract: Recently several fusion and switching based approaches have been presented to solve the problem of Visual Place Recognition. In spite of these systems demonstrating significant boost in VPR performance they each have their...	[]	Train
43,394	16	Title: Semantic Diffusion Network for Semantic Segmentation Abstract: Precise and accurate predictions over boundary areas are essential for semantic segmentation. However, the commonly-used convolutional operators tend to smooth and blur local detail cues, making it difficult for deep models to generate accurate bound...	[ 29112, 12241, 45506, 32261 ]	Validation
43,395	24	Title: Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation Abstract: Subsurface datasets inherently possess big data characteristics such as vast volume, diverse features, and high sampling speeds, further compounded by the curse of dimensiona...	[]	Validation
43,396	24	Title: Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio Abstract: Ambient computing is gaining popularity as a major technological advancement for the future. The modern era has witnessed a surge in the advancement in healthcare systems, with viable radio frequ...	[]	Validation
43,397	27	Title: A Compliant Robotic Leg Based on Fibre Jamming Abstract: Humans possess a remarkable ability to react to sudden and unpredictable perturbations through immediate mechanical responses, which harness the visco-elastic properties of muscles to perform auto-corrective movements to maintain balance. In this paper, we...	[]	Train
43,398	16	Title: LOVM: Language-Only Vision Model Selection Abstract: Pre-trained multi-modal vision-language models (VLMs) are becoming increasingly popular due to their exceptional performance on downstream vision applications, particularly in the few- and zero-shot settings. However, selecting the best-performing VLM for some...	[ 13700, 38927 ]	Train
43,399	16	Title: InfiniCity: Infinite-Scale City Synthesis Abstract: Toward infinite-scale 3D city synthesis, we propose a novel framework, InfiniCity, which constructs and renders an unconstrainedly large and 3D-grounded environment from random noises. InfiniCity decomposes the seemingly impractical task into three feasible mod...	[ 39746, 37218, 680, 37621, 28379 ]	Train
43,400	16	Title: Introducing Feature Attention Module on Convolutional Neural Network for Diabetic Retinopathy Detection Abstract: Diabetic retinopathy (DR) is a leading cause of blindness among diabetic patients. Deep learning models have shown promising results in automating the detection of DR. In the present work, we propose...	[]	Test
43,401	24	Title: Fast Continual Multi-View Clustering with Incomplete Views Abstract: Multi-view clustering (MVC) has gained broad attention owing to its capacity to exploit consistent and complementary information across views. This paper focuses on a challenging issue in MVC called the incomplete continual data problem (ICDP)....	[ 9491, 26373 ]	Validation
43,402	24	Title: KoopmanLab: machine learning for solving complex physics equations Abstract: Numerous physics theories are rooted in partial differential equations (PDEs). However, the increasingly intricate physics equations, especially those that lack analytic solutions or closed forms, have impeded the further development of...	[ 12157 ]	Test
43,403	30	Title: Enhancing In-Context Learning with Answer Feedback for Multi-Span Question Answering Abstract: Whereas the recent emergence of large language models (LLMs) like ChatGPT has exhibited impressive general performance, it still has a large gap with fully-supervised models on specific tasks such as multi-span questio...	[ 12128, 35427, 20228, 33220, 35580, 4071, 43068, 42393, 4892, 1789, 17502 ]	Train
43,404	10	Title: Low-Shot Learning for Fictional Claim Verification Abstract: In this paper, we study the problem of claim verification in the context of claims about fictional stories in a low-shot learning setting. To this end, we generate two synthetic datasets and then develop an end-to-end pipeline and model that is tested ...	[]	Test
43,405	15	Title: A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU Abstract: Recent years have witnessed impressive progress in super-resolution (SR) processing. However, its real-time inference requirement sets a challenge not only for the model design but also for the on-chip implementation. In thi...	[]	Test
43,406	16	Title: IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer Abstract: Automated medical report generation has become increasingly important in medical analysis. It can produce computer-aided diagnosis descriptions and thus significantly alleviate the doctors' work. Inspired by the huge succe...	[]	Train
43,407	16	Title: Fast Training of Diffusion Models with Masked Transformers Abstract: We propose an efficient approach to train large diffusion models with masked transformers. While masked transformers have been extensively explored for representation learning, their application to generative learning is less explored in the vi...	[ 21152, 25097, 28532, 5278, 351 ]	Train
43,408	25	Title: REALIMPACT: A Dataset of Impact Sound Fields for Real Objects Abstract: Objects make unique sounds under different perturbations, environment conditions, and poses relative to the listener. While prior works have modeled impact sounds and sound propagation in simulation, we lack a standard dataset of impact soun...	[]	Train
43,409	15	Title: GHOST: A Graph Neural Network Accelerator using Silicon Photonics Abstract: Graph neural networks (GNNs) have emerged as a powerful approach for modelling and learning from graph-structured data. Multiple fields have since benefitted enormously from the capabilities of GNNs, such as recommendation systems, socia...	[ 9781 ]	Train
43,410	6	Title: The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces Abstract: Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature grows, the ne...	[ 39594, 45804, 8141, 43949 ]	Train
43,411	16	Title: FastFill: Efficient Compatible Model Update Abstract: In many retrieval systems the original high dimensional data (e.g., images) is mapped to a lower dimensional feature through a learned embedding model. The task of retrieving the most similar data from a gallery set to a given query data is performed through ...	[ 9793 ]	Train
43,412	5	Title: Optimizing High-Performance Linpack for Exascale Accelerated Architectures Abstract: We detail the performance optimizations made in rocHPL, AMD's open-source implementation of the High-Performance Linpack (HPL) benchmark targeting accelerated node architectures designed for exascale systems such as the Frontier...	[]	Train
43,413	30	Title: Application of Transformers based methods in Electronic Medical Records: A Systematic Literature Review Abstract: The combined growth of available data and their unstructured nature has received increased interest in natural language processing (NLP) techniques to make value of these data assets since this forma...	[ 8759 ]	Train
43,414	30	Title: A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model Abstract: In this work, we explore Parameter-Efficient-Learning (PEL) techniques to repurpose a General-Purpose-Speech (GSM) model for Arabic dialect identification (ADI). Specifically, we inves...	[ 44115 ]	Test
43,415	23	Title: Exploring and Characterizing Large Language Models For Embedded System Development and Debugging Abstract: Large language models (LLMs) have shown remarkable abilities to generate code, however their ability to develop software for embedded systems, which requires cross-domain knowledge of hardware and software ...	[ 9314, 40610, 13700, 13510, 14920, 3181, 35085, 43566, 22578, 29396, 32989, 1401, 23545, 30745 ]	Train
43,416	24	Title: Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks Abstract: We present a theoretical analysis of the approximation properties of convolutional architectures when applied to the modeling of temporal sequences. Specifically, we prove an approximation rate estimate (Jackson-type re...	[ 18372 ]	Train
43,417	31	Title: Multi-Scenario Ranking with Adaptive Feature Learning Abstract: Recently, Multi-Scenario Learning (MSL) is widely used in recommendation and retrieval systems in the industry because it facilitates transfer learning from different scenarios, mitigating data sparsity and reducing maintenance cost. These efforts p...	[]	Train
43,418	10	Title: Reverse engineering adversarial attacks with fingerprints from adversarial examples Abstract: In spite of intense research efforts, deep neural networks remain vulnerable to adversarial examples: an input that forces the network to confidently produce incorrect outputs. Adversarial examples are typically generat...	[ 18201, 3885, 45105 ]	Validation
43,419	24	Title: BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration Abstract: Researchers constantly strive to explore larger and more complex search spaces in various scientific studies and physical experiments. However, such investigations often involve sophisticated simulators or time...	[]	Train
43,420	30	Title: Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges Abstract: In this work we present TrialsSummarizer, a system that aims to automatically summarize evidence presented in the set of randomized controlled trials most relevant to a given query. Building on prior wo...	[]	Train
43,421	34	Title: Labeling Methods for Partially Ordered Paths Abstract: The landscape of applications and subroutines relying on shortest path computations continues to grow steadily. This growth is driven by the undeniable success of shortest path algorithms in theory and practice. It also introduces new challenges as the model...	[]	Test
43,422	27	Title: Robust Lifelong Indoor LiDAR Localization using the Area Graph Abstract: Lifelong indoor localization in a given map is the basis for navigation of autonomous mobile robots. In this letter, we address the problem of robust localization in cluttered indoor environments like office spaces and corridors using 3D Li...	[ 17086 ]	Validation
43,423	16	Title: VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Abstract: The third edition of the"VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning"workshop featured four data-impaired challenges, focusing on addressing the limitations of data availability in training deep learn...	[ 19599 ]	Test
43,424	10	Title: A systematic review of Green AI Abstract: With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to hold themselves accountable for the carbon emissions of the AI models they design and...	[ 34178, 34473, 35006, 7984, 11921, 33907, 6078, 7516, 42877, 14814, 32127 ]	Test
43,425	16	Title: MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior Abstract: In recent years, many deep learning-based methods have been proposed to tackle the problem of optical flow estimation and achieved promising results. However, they hardly consider that most videos are compressed and thus...	[]	Train
43,426	30	Title: DecompX: Explaining Transformers Decisions by Propagating Token Decomposition Abstract: An emerging solution for explaining Transformer-based models is to use vector-based analysis on how the representations are formed. However, providing a faithful vector-based explanation for a multi-layer model could be chall...	[ 40691 ]	Train
43,427	6	Title: Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Events Abstract: Delivering customer services through video communications has brought new opportunities to analyze customer satisfaction for quality management. However, due to the lack of reliable self-reported responses, service ...	[ 33848, 30771, 11030, 29023 ]	Train
43,428	7	Title: Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels Abstract: The online optimization of gasoline blending benefits refinery economies. However, the nonlinear blending mechanism, the oil property fluctuations, and the blending model mismatch br...	[]	Train
43,429	30	Title: Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models Abstract: We investigate the effects of post-training quantization and quantization-aware training on the generalization of Transformer language models. We present a new method called self-distilled quantization (S...	[]	Validation
43,430	6	Title: SURVIVRS: Surround Video-Based Virtual Reality for Surgery Guidance Abstract: There is a strong demand for virtual reality (VR) to bring quality healthcare to underserved populations. This paper addresses this need with the design and prototype of SURVIVRS: Surround Video-Based Virtual Reality for Surgery Guidan...	[]	Train
43,431	30	Title: Measuring Gender Bias in West Slavic Language Models Abstract: Pre-trained language models have been known to perpetuate biases from the underlying datasets to downstream tasks. However, these findings are predominantly based on monolingual language models for English, whereas there are few investigative studies...	[ 345 ]	Train
43,432	10	Title: FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users Abstract: The federated learning (FL) technique was developed to mitigate data privacy issues in the traditional machine learning paradigm. While FL ensures that a user's data always remain with the user, the ...	[ 12473, 37658, 7556 ]	Test
43,433	27	Title: Parameter Optimization for Manipulator Motion Planning using a Novel Benchmark Set Abstract: Sampling-based motion planning algorithms have been continuously developed for more than two decades. Apart from mobile robots, they are also widely used in manipulator motion planning. Hence, these methods play a key ro...	[]	Validation
43,434	16	Title: Art Authentication with Vision Transformers Abstract: In recent years, transformers, initially developed for language, have been successfully applied to visual tasks. Vision transformers have been shown to push the state of the art in a wide range of tasks, including image classification, object detection, and s...	[]	Train
43,435	6	Title: Family Theories in Child-Robot Interactions: Understanding Families as a Whole for Child-Robot Interaction Design Abstract: In this work, we discuss a theoretically motivated family-centered design approach for child-robot interactions, adapted by Family Systems Theory (FST) and Family Ecological Model (FEM). Lo...	[]	Test
43,436	30	Title: Large Language Models Are Partially Primed in Pronoun Interpretation Abstract: While a large body of literature suggests that large language models (LLMs) acquire rich linguistic representations, little is known about whether they adapt to linguistic biases in a human-like way. The present study probes this ques...	[]	Train
43,437	30	Title: Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design Abstract: This paper investigates the key role of Feed-Forward Networks (FFNs) in transformer models by utilizing the Parallel Attention and Feed-Forward Net Design (PAF) architecture, and compari...	[]	Test
43,438	7	Title: Level set topology optimization of metamaterial-based heat manipulators using isogeometric analysis Abstract: We exploit level set topology optimization to find the optimal material distribution for metamaterial-based heat manipulators. The level set function, geometry, and solution field are parameterized using...	[]	Train
43,439	27	Title: Soy: An Efficient MILP Solver for Piecewise-Affine Systems Abstract: Piecewise-affine (PWA) systems are widely used for modeling and control of robotics problems including modeling contact dynamics. A common approach is to encode the control problem of the PWA system as a Mixed-Integer Convex Program (MICP), whi...	[]	Validation
43,440	2	Title: An Automata-Based Framework for Verification and Bug Hunting in Quantum Circuits Abstract: We introduce a new paradigm for analysing and finding bugs in quantum circuits. In our approach, the problem is given by a triple {P} C {Q} and the question is whether, given a set P of quantum states on the input of a cir...	[]	Train
43,441	16	Title: Two-View Geometry Scoring Without Correspondences Abstract: Camera pose estimation for two-view geometry traditionally relies on RANSAC. Normally, a multitude of image correspondences leads to a pool of proposed hypotheses, which are then scored to find a winning model. The inlier count is generally regarded as ...	[]	Validation
43,442	24	Title: Systematic design space exploration by learning the explored space using Machine Learning Abstract: Current practice in parameter space exploration in euclidean space is dominated by randomized sampling or design of experiment methods. The biggest issue with these methods is not keeping track of what part of par...	[ 3668, 5095 ]	Test
43,443	24	Title: Information-Theoretic Diffusion Abstract: Denoising diffusion models have spurred significant gains in density modeling and image generation, precipitating an industrial revolution in text-guided AI art generation. We introduce a new mathematical foundation for diffusion models inspired by classic results in inf...	[ 44304 ]	Validation
43,444	24	Title: AbODE: Ab Initio Antibody Design using Conjoined ODEs Abstract: Antibodies are Y-shaped proteins that neutralize pathogens and constitute the core of our adaptive immune system. De novo generation of new antibodies that target specific antigens holds the key to accelerating vaccine discovery. However, this co-de...	[]	Validation
43,445	28	Title: Finite Field Multiple Access Abstract: In the past several decades, various multiple-access (MA) techniques have been developed and used. These MA techniques are carried out in complex-field domain to separate the outputs of the users. It becomes problematic to find new resources from the physical world. It is d...	[]	Test
43,446	16	Title: Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties Abstract: General physical scene understanding requires more than simply localizing and recognizing objects -- it requires knowledge that objects can have different latent properties (e.g., mass or ...	[ 35394 ]	Train
43,447	34	Title: Parameterized Approximation for Robust Clustering in Discrete Geometric Spaces Abstract: We consider the well-studied Robust $(k, z)$-Clustering problem, which generalizes the classic $k$-Median, $k$-Means, and $k$-Center problems. Given a constant $z\ge 1$, the input to Robust $(k, z)$-Clustering is a set $P$ o...	[ 24846 ]	Train
43,448	30	Title: Toward Adversarial Training on Contextualized Language Representation Abstract: Beyond the success story of adversarial training (AT) in the recent text domain on top of pre-trained language models (PLMs), our empirical study showcases the inconsistent gains from AT on some tasks, e.g. commonsense reasoning, nam...	[ 32173 ]	Test
43,449	27	Title: Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar Abstract: This paper presents the design and development of an intelligent subsystem that includes a novel low-power radar sensor integrated into an autonomous racing perception pipeline to robustly estimate ...	[]	Test
43,450	2	Title: Uniform Substitution for Dynamic Logic with Communicating Hybrid Programs Abstract: This paper introduces a uniform substitution calculus for $\mathsf{dL}_\text{CHP}$, the dynamic logic of communicating hybrid programs. Uniform substitution enables parsimonious prover kernels by using axioms instead of axiom sch...	[ 2133 ]	Train
43,451	24	Title: Latent Processes Identification From Multi-View Time Series Abstract: Understanding the dynamics of time series data typically requires identifying the unique latent factors for data generation, a.k.a., latent processes identification. Driven by the independent assumption, existing works have made great progress...	[]	Train
43,452	30	Title: A Simple and Effective Pruning Approach for Large Language Models Abstract: As their size increases, Large Languages Models (LLMs) are natural candidates for network pruning methods: approaches that drop a subset of network weights while striving to preserve performance. Existing methods, however, require either...	[ 16960, 38338, 6979, 13700, 33220, 13510, 42948, 12046, 5649, 12851, 20467, 25206, 40953, 28606, 29375 ]	Validation
43,453	16	Title: SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics Abstract: Accurately determining salient regions of an image is challenging when labeled data is scarce. DINO-based self-supervised approaches have recently leveraged meaningful image semantics captured by patch-wise features for locating ...	[ 41205 ]	Train
43,454	16	Title: Language-Guided Diffusion Model for Visual Grounding Abstract: Visual grounding (VG) tasks involve explicit cross-modal alignment, as semantically corresponding image regions are to be located for the language phrases provided. Existing approaches complete such visual-text reasoning in a single-step manner. Thei...	[]	Train
43,455	1	Title: Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion Abstract: Depression is a leading cause of death worldwide, and the diagnosis of depression is nontrivial. Multimodal learning is a popular solution for automatic diagnosis of depression, and the existing works suffer two main drawbacks: ...	[]	Train
43,456	2	Title: Hydra Battles and AC Termination, Revisited Abstract: We present a termination proof for the Battle of Hercules and Hydra represented as a rewrite system with AC symbols. Our proof employs type introduction in connection with many-sorted semantic labeling for AC rewriting and AC-RPO.	[ 14181 ]	Train
43,457	24	Title: Deep Kernel Methods Learn Better: From Cards to Process Optimization Abstract: The ability of deep learning methods to perform classification and regression tasks relies heavily on their capacity to uncover manifolds in high-dimensional data spaces and project them into low-dimensional representation spaces. In ...	[ 38365 ]	Train
43,458	34	Title: Fault-Tolerant ST-Diameter Oracles Abstract: We study the problem of estimating the $ST$-diameter of a graph that is subject to a bounded number of edge failures. An $f$-edge fault-tolerant $ST$-diameter oracle ($f$-FDO-$ST$) is a data structure that preprocesses a given graph $G$, two sets of vertices $S,T$, an...	[]	Train
43,459	16	Title: Exploring Diffusion Models for Unsupervised Video Anomaly Detection Abstract: This paper investigates the performance of diffusion models for video anomaly detection (VAD) within the most challenging but also the most operational scenario in which the data annotations are not used. As being sparse, diverse, cont...	[ 8308, 9246, 16870 ]	Validation
43,460	4	Title: Generating One-Hot Maps under Encryption Abstract: One-hot maps are commonly used in the AI domain. Unsurprisingly, they can also bring great benefits to ML-based algorithms such as decision trees that run under Homomorphic Encryption (HE), specifically CKKS. Prior studies in this domain used these maps but assu...	[]	Test
43,461	24	Title: A Kriging-Random Forest Hybrid Model for Real-time Ground Property Prediction during Earth Pressure Balance Shield Tunneling Abstract: A kriging-random forest hybrid model is developed for real-time ground property prediction ahead of the earth pressure balanced shield by integrating Kriging extrapolation and ra...	[]	Train
43,462	30	Title: Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations Abstract: This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations. We utilize LLMs including GPT-2 and BERT to...	[ 6250, 6124, 44246 ]	Train
43,463	16	Title: Towards In-context Scene Understanding Abstract: In-context learning$\unicode{x2013}$the ability to configure a model's behavior with different prompts$\unicode{x2013}$has revolutionized the field of natural language processing, alleviating the need for task-specific models and paving the way for generalist mode...	[ 28334, 4643, 13700, 9590 ]	Train
43,464	30	Title: Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation Abstract: In this paper, we introduce Ranger - a toolkit to facilitate the easy use of effect-size-based meta-analysis for multi-task evaluation in NLP and IR. We observed that our communities often face the challenge of aggregating results over incom...	[]	Train
43,465	16	Title: Decoupling Human and Camera Motion from Videos in the Wild Abstract: We propose a method to reconstruct global human trajectories from videos in the wild. Our optimization method decouples the camera and human motion, which allows us to place people in the same world coordinate frame. Most existing methods do no...	[ 5632, 9027, 32995, 22791, 7303, 19882, 26570 ]	Train
43,466	24	Title: Minimax-Bayes Reinforcement Learning Abstract: While the Bayesian decision-theoretic framework offers an elegant solution to the problem of decision making under uncertainty, one question is how to appropriately select the prior distribution. One idea is to employ a worst-case prior. However, this is not as easy...	[ 10904 ]	Test
43,467	8	Title: Predictive Context-Awareness for Full-Immersive Multiuser Virtual Reality with Redirected Walking Abstract: The advancement of Virtual Reality (VR) technology is focused on improving its immersiveness, supporting multiuser Virtual Experiences (VEs), and enabling users to move freely within their VEs while remain...	[]	Train
43,468	24	Title: SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills Abstract: Large Language Model (LLM) inference consists of two distinct phases - prefill phase which processes the input prompt and decode phase which generates output tokens autoregressively. While the prefill phase effectively satur...	[ 33220, 12753, 34769, 5815, 40953, 33626 ]	Train
43,469	16	Title: Face Image Quality Enhancement Study for Face Recognition Abstract: Unconstrained face recognition is an active research area among computer vision and biometric researchers for many years now. Still the problem of face recognition in low quality photos has not been well-studied so far. In this paper, we explore...	[]	Train
43,470	24	Title: G-Signatures: Global Graph Propagation With Randomized Signatures Abstract: Graph neural networks (GNNs) have evolved into one of the most popular deep learning architectures. However, GNNs suffer from over-smoothing node information and, therefore, struggle to solve tasks where global graph properties are relev...	[ 39331 ]	Train
43,471	23	Title: Conversational Automated Program Repair Abstract: Automated Program Repair (APR) can help developers automatically generate patches for bugs. Due to the impressive performance obtained using Large Pre-Trained Language Models (LLMs) on many code related tasks, researchers have started to directly use LLMs for APR...	[ 11273, 5643, 20754, 26647, 42523, 42783, 34208, 39466, 24749, 43566, 40368, 11190, 33210, 38077, 16855, 28000, 18411, 17523, 3061, 40565, 9471 ]	Validation
43,472	36	Title: Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities Abstract: Peer review cannot work unless qualified and interested reviewers are assigned to each paper. Nearly all automated reviewer assignment approaches estimate real-valued affinity scores for each paper-reviewer pair that act as proxi...	[]	Train
43,473	27	Title: Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation Abstract: What makes generalization hard for imitation learning in visual robotic manipulation? This question is difficult to approach at face value, but the environment from the perspective of a robot can often be decompose...	[ 44523, 32719 ]	Test
43,474	3	Title: On the Computation of Accessibility Provided by Shared Mobility Abstract: Shared Mobility Services (SMS), e.g., Demand-Responsive Transit (DRT) or ride-sharing, can improve mobility in low-density areas, often poorly served by conventional Public Transport (PT). Such improvement is mostly quantified via basic pe...	[]	Train
43,475	3	Title: Who benefits from altmetrics? The effect of team gender composition on the link between online visibility and citation impact Abstract: Online science dissemination has quickly become crucial in promoting scholars' work. Recent literature has demonstrated a lack of visibility for women's research, where women's ...	[]	Train
43,476	34	Title: Learned Interpolation for Better Streaming Quantile Approximation with Worst-Case Guarantees Abstract: An $\varepsilon$-approximate quantile sketch over a stream of $n$ inputs approximates the rank of any query point $q$ - that is, the number of input points less than $q$ - up to an additive error of $\varepsilo...	[]	Validation
43,477	27	Title: Event-Based Stereo Visual Odometry With Native Temporal Resolution via Continuous-Time Gaussian Process Regression Abstract: Event-based cameras asynchronously capture individual visual changes in a scene. This makes them more robust than traditional frame-based cameras to highly dynamic motions and poor illumin...	[]	Validation

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