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
41,278	24	Title: Is Normalization Indispensable for Multi-domain Federated Learning? Abstract: Federated learning (FL) enhances data privacy with collaborative in-situ training on decentralized clients. Nevertheless, FL encounters challenges due to non-independent and identically distributed (non-i.i.d) data, leading to potentia...	[ 30320, 9498, 37963 ]	Train
41,279	18	Title: Heterogeneous Receptors - Based Molecule Harvesting in MC: Analysis for ISI Mitigation and Energy Efficiency Abstract: This paper investigates a spherical transmitter (TX) with a membrane covered by heterogeneous receptors of varying sizes and arbitrary locations for molecular communication (MC), where molecules...	[]	Train
41,280	6	Title: Towards Usable Parental Control for Voice Assistants Abstract: Voice Personal Assistants (VPA) have become a common household appliance. As one of the leading platforms for VPA technology, Amazon created Alexa and designed Amazon Kids for children to safely enjoy the rich functionalities of VPA and for parents t...	[]	Train
41,281	27	Title: Designing Dynamic Robot Characters to Improve Robot-Human Communications Abstract: Socially Assistive Robots navigate highly sensible environments, which place high demands on safety and communication with users. The reasoning behind an SAR's actions must be transparent at any time to earn users' trust and accep...	[]	Validation
41,282	16	Title: Binary Radiance Fields Abstract: In this paper, we propose binary radiance fields (BiRF), a storage-efficient radiance field representation employing binary feature encoding that encodes local features using binary encoding parameters in a format of either $+1$ or $-1$. This binarization strategy lets us represe...	[ 18632, 21771, 9565 ]	Train
41,283	36	Title: Consistent Conjectural Variations Equilibria: Characterization and Stability for a Class of Continuous Games Abstract: Leveraging tools from the study of linear fractional transformations and algebraic Riccati equations, a local characterization of consistent conjectural variations equilibrium is given for two p...	[ 23948 ]	Test
41,284	6	Title: Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI for Providing Request-to-Intervene Trigger Information Abstract: Level 3 automated driving systems (ADS) have attracted significant attention and are being commercialized. A Level 3 ADS prompts the driver to take control by requesting to in...	[]	Train
41,285	30	Title: Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning Abstract: The robustness of multimodal deep learning models to realistic changes in the input text is critical for applicability on important tasks such as text-to-image retrieval and cross-modal entailment. To measure ...	[]	Train
41,286	27	Title: An Integrated FPGA Accelerator for Deep Learning-based 2D/3D Path Planning Abstract: Path planning is a crucial component for realizing the autonomy of mobile robots. However, due to limited computational resources on mobile robots, it remains challenging to deploy state-of-the-art methods and achieve real-time ...	[]	Validation
41,287	22	Title: Overcoming Memory Weakness with Unified Fairness Abstract: We consider the verification of liveness properties for concurrent programs running on weak memory models. To that end, we identify notions of fairness that preclude demonic non-determinism, are motivated by practical observations, and are amenable to al...	[]	Test
41,288	16	Title: Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment Abstract: Dense video captioning, a task of localizing meaningful moments and generating relevant captions for videos, often requires a large, expensive corpus of annotated video segments paired with text. In an effort to minimize the annotat...	[ 20169, 37987 ]	Validation
41,289	10	Title: A Model of Sequential Learning based on Non-Axiomatic Logic Abstract: Sequential learning is a fundamental function of an intelligent agent. This technical report introduces a model of sequential learning, which is interpretable through Non-Axiomatic Logic. The learning procedure includes three steps, hypothesiz...	[]	Train
41,290	10	Title: Artificial Intelligence for Drug Discovery: Are We There Yet? Abstract: Drug discovery is adapting to novel technologies such as data science, informatics, and artificial intelligence (AI) to accelerate effective treatment development while reducing costs and animal experiments. AI is transforming drug discovery...	[]	Train
41,291	16	Title: A sliced-Wasserstein distance-based approach for out-of-class-distribution detection Abstract: There exist growing interests in intelligent systems for numerous medical imaging, image processing, and computer vision applications, such as face recognition, medical diagnosis, character recognition, and self-drivin...	[]	Train
41,292	16	Title: SVCNet: Scribble-Based Video Colorization Network With Temporal Aggregation Abstract: In this paper, we propose a scribble-based video colorization network with temporal aggregation called SVCNet. It can colorize monochrome videos based on different user-given color scribbles. It addresses three common issues in...	[ 17410 ]	Train
41,293	27	Title: Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation Abstract: The process of designing costmaps for off-road driving tasks is often a challenging and engineering-intensive task. Recent work in costmap design for off-road driving focuses on training deep neural networks to pred...	[ 8636, 32783 ]	Test
41,294	16	Title: AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks Abstract: To deliver the artistic expression of the target style, recent studies exploit the attention mechanism owing to its ability to map the local patches of the style image to the corresponding patches of the content image. However, because of the l...	[ 1127 ]	Test
41,295	16	Title: Towards Accurate Acne Detection via Decoupled Sequential Detection Head Abstract: Accurate acne detection plays a crucial role in acquiring precise diagnosis and conducting proper therapy. However, the ambiguous boundaries and arbitrary dimensions of acne lesions severely limit the performance of existing method...	[]	Validation
41,296	30	Title: Conversational Process Modelling: State of the Art, Applications, and Implications in Practice Abstract: Chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, it is often not clear how to apply chatbots to generate business value. Hence, this work aims at the systematic analysis of...	[ 18906, 12467 ]	Train
41,297	16	Title: Active Learning for Object Detection with Non-Redundant Informative Sampling Abstract: Curating an informative and representative dataset is essential for enhancing the performance of 2D object detectors. We present a novel active learning sampling strategy that addresses both the informativeness and diversity o...	[]	Test
41,298	24	Title: Predicting Students' Exam Scores Using Physiological Signals Abstract: — While acute stress has been shown to have both positive and negative effects on performance, not much is known about the impacts of stress on students’ grades during examinations. To answer this question, we examined whether a correlation c...	[]	Train
41,299	23	Title: Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence Abstract: The usage of Python idioms is popular among Python developers in a formative study of 101 Python idiom performance related questions on Stack Overflow, we find that developers often get confused about the performanc...	[]	Validation
41,300	24	Title: Improved Sales Forecasting using Trend and Seasonality Decomposition with LightGBM Abstract: Retail sales forecasting presents a significant challenge for large retailers such as Walmart and Amazon, due to the vast assortment of products, geographical location heterogeneity, seasonality, and external factors inc...	[]	Train
41,301	2	Title: Algebraic Monograph Transformations Abstract: Monographs are graph-like structures with directed edges of unlimited length that are freely adjacent to each other. The standard nodes are represented as edges of length zero. They can be drawn in a way consistent with standard graphs and many others, like E-graphs ...	[]	Validation
41,302	9	Title: On the impossibility of discovering a formula for primes using AI Abstract: The present work explores the theoretical limits of Machine Learning (ML) within the framework of Kolmogorov's theory of Algorithmic Probability, which clarifies the notion of entropy as Expected Kolmogorov Complexity and formalizes othe...	[]	Validation
41,303	10	Title: OpenDriver: an open-road driver state detection dataset Abstract: In modern society, road safety relies heavily on the psychological and physiological state of drivers. Negative factors such as fatigue, drowsiness, and stress can impair drivers' reaction time and decision making abilities, leading to an increase...	[]	Train
41,304	14	Title: An Efficient Canonical Narrowing Implementation with Irreducibility and SMT Constraints for Generic Symbolic Protocol Analysis Abstract: Narrowing and unification are very useful tools for symbolic analysis of rewrite theories, and thus for any model that can be specified in that way. A very clear example of the...	[]	Train
41,305	28	Title: A new invariant for cyclic orbit flag codes Abstract: In the network coding framework, given a prime power $q$ and the vector space $\mathbb{F}_q^n$, a constant type flag code is a set of nested sequences of $\mathbb{F}_q$-subspaces (flags) with the same increasing sequence of dimensions (the type of the flag). ...	[]	Train
41,306	24	Title: Towards Practicable Sequential Shift Detectors Abstract: There is a growing awareness of the harmful effects of distribution shift on the performance of deployed machine learning models. Consequently, there is a growing interest in detecting these shifts before associated costs have time to accumulate. However, ...	[]	Train
41,307	16	Title: Lightweight Vision Transformer with Bidirectional Interaction Abstract: Recent advancements in vision backbones have significantly improved their performance by simultaneously modeling images' local and global contexts. However, the bidirectional interaction between these two contexts has not been well explored ...	[ 5878 ]	Test
41,308	3	Title: Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs Abstract: Amidst decline in public trust in technology, computing ethics have taken center stage, and critics have raised questions about corporate “ethics washing.” Yet few studies examine the a...	[]	Train
41,309	16	Title: Crack Detection of Asphalt Concrete Using Combined Fracture Mechanics and Digital Image Correlation Abstract: Cracking is a common failure mode in asphalt concrete (AC) pavements. Many tests have been developed to characterize the fracture behavior of AC. Accurate crack detection during testing is crucial to des...	[]	Validation
41,310	27	Title: A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions Abstract: Several interesting problems in multi-robot systems can be cast in the framework of distributed optimization. Examples include multi-robot task allocation, vehicle routing, t...	[ 3268, 5900, 10230 ]	Train
41,311	24	Title: Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning Abstract: Thompson sampling (TS) is widely used in sequential decision making due to its ease of use and appealing empirical performance. However, many existing analytical and empirical results for TS rely on restrictiv...	[]	Test
41,312	27	Title: TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation Abstract: Multi-modal fusion of sensors is a commonly used approach to enhance the performance of odometry estimation, which is also a fundamental module for mobile robots. However, the question of \textit{how to perform f...	[]	Train
41,313	23	Title: Modeling Adaptive Self-healing Systems Abstract: Motivation: Smart grids design requires energy distribution operations to be adaptable to abnormality. This requirement entails distribution system operators (DSOs) to optimize restoration to normal operational states dynamically. However, these design challenges ...	[]	Train
41,314	16	Title: Learning Transformations to Reduce the Geometric Shift in Object Detection Abstract: The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes caused by, e.g., different illumination conditio...	[]	Train
41,315	31	Title: Explicit and Implicit Semantic Ranking Framework Abstract: The core challenge in numerous real-world applications is to match an inquiry to the best document from a mutable and finite set of candidates. Existing industry solutions, especially latency-constrained services, often rely on similarity algorithms that...	[]	Validation
41,316	16	Title: Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field Abstract: Convolutional neural networks (CNNs) have recently proven their excellent ability to segment 2D cardiac ultrasound images. However, the majority of attempts to perform full-sequence segmentation of cardiac ultrasound ...	[]	Train
41,317	27	Title: Motion-Based Extrinsic Sensor-to-Sensor Calibration: Effect of Reference Frame Selection for New and Existing Methods Abstract: This paper studies the effect of reference frame selection in sensor-to-sensor extrinsic calibration when formulated as a motion-based hand–eye calibration problem. As the sensor trajec...	[]	Test
41,318	30	Title: Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration Abstract: Although instruction-tuned large language models (LLMs) have exhibited remarkable capabilities across various NLP tasks, their effectiveness on other data modalities beyond text has not been fully studied. In this w...	[ 10624, 13700, 31888, 41104, 41619, 8084, 13844, 46107, 14108, 30243, 10163, 15413, 25786, 33220, 8903, 9810, 25556, 29396, 37987, 10598, 42983, 23545, 38780, 3454 ]	Test
41,319	24	Title: Shortcut Learning Through the Lens of Early Training Dynamics Abstract: Deep Neural Networks (DNNs) are prone to learn shortcut patterns that damage the generalization of the DNN during deployment. Shortcut Learning is concerning, particularly when the DNNs are applied to safety-critical domains. This paper aims...	[]	Train
41,320	6	Title: Effects of data distribution and granularity on color semantics for colormap data visualizations Abstract: To create effective data visualizations, it helps to represent data using visual features in intuitive ways. When visualization designs match observer expectations, visualizations are easier to interpret. P...	[]	Test
41,321	24	Title: Streaming Kernel PCA Algorithm With Small Space Abstract: Principal Component Analysis (PCA) is a widely used technique in machine learning, data analysis and signal processing. With the increase in the size and complexity of datasets, it has become important to develop low-space usage algorithms for PCA. Stream...	[ 40301 ]	Train
41,322	30	Title: Integrating Pretrained ASR and LM to Perform Sequence Generation for Spoken Language Understanding Abstract: There has been an increased interest in the integration of pretrained speech recognition (ASR) and language models (LM) into the SLU framework. However, prior methods often struggle with a vocabulary mism...	[]	Validation
41,323	28	Title: Integrated Sensing and Communication based Outdoor Multi-Target Detection, Tracking and Localization in Practical 5G Networks Abstract: The 6th generation (6G) wireless networks will likely to support a variety of capabilities beyond communication, such as sensing and localization, through the use of communicati...	[ 31920, 16892 ]	Validation
41,324	27	Title: Design Considerations and Robustness to Parameter Uncertainty in Wire-Wrapped Cam Mechanisms Abstract: Collaborative robots must simultaneously be safe enough to operate in close proximity to human operators and powerful enough to assist users in industrial tasks such as lifting heavy equipment. The requiremen...	[]	Test
41,325	7	Title: Synthesizing realistic sand assemblies with denoising diffusion in latent space Abstract: The shapes and morphological features of grains in sand assemblies have far-reaching implications in many engineering applications, such as geotechnical engineering, computer animations, petroleum engineering, and concentra...	[ 45817 ]	Train
41,326	16	Title: Unsupervised Object-Centric Voxelization for Dynamic Scene Understanding Abstract: Understanding the compositional dynamics of multiple objects in unsupervised visual environments is challenging, and existing object-centric representation learning methods often ignore 3D consistency in scene decomposition. We pr...	[]	Validation
41,327	24	Title: Convolutional Learning on Simplicial Complexes Abstract: We propose a simplicial complex convolutional neural network (SCCNN) to learn data representations on simplicial complexes. It performs convolutions based on the multi-hop simplicial adjacencies via common faces and cofaces independently and captures the i...	[ 23882, 2179, 23507 ]	Test
41,328	30	Title: Are aligned neural networks adversarially aligned? Abstract: Large language models are now tuned to align with the goals of their creators, namely to be"helpful and harmless."These models should respond helpfully to user questions, but refuse to answer requests that could cause harm. However, adversarial users c...	[ 10624, 29280, 39840, 37987, 33220, 44481, 45923, 744, 45821, 17295, 13264, 41104, 40882, 8084, 4565, 29396, 45301, 40861 ]	Train
41,329	24	Title: MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Abstract: Equipping a deep model the abaility of few-shot learning, i.e., learning quickly from only few examples, is a core challenge for artificial intelligence. Gradient-based meta-learning approaches effectively address the challenge by...	[ 12361, 3558 ]	Train
41,330	16	Title: Inverse Rendering of Translucent Objects using Physical and Neural Renderers Abstract: In this work, we propose an inverse rendering model that estimates 3D shape, spatially-varying reflectance, homogeneous subsurface scattering parameters, and an environment illumination jointly from only a pair of captured ima...	[]	Train
41,331	16	Title: ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data Abstract: Vision-language models (VLMs), such as CLIP and ALIGN, are generally trained on datasets consisting of image-caption pairs obtained from the web. However, real-world multimodal datasets, such as healthcare data, are signif...	[ 5852 ]	Train
41,332	14	Title: FMplex: A Novel Method for Solving Linear Real Arithmetic Problems Abstract: In this paper we introduce a novel quantifier elimination method for conjunctions of linear real arithmetic constraints. Our algorithm is based on the Fourier-Motzkin variable elimination procedure, but by case splitting we are able to ...	[]	Train
41,333	30	Title: Detecting Natural Language Biases with Prompt-based Learning Abstract: In this project, we want to explore the newly emerging field of prompt engineering and apply it to the downstream task of detecting LM biases. More concretely, we explore how to design prompts that can indicate 4 different types of biases: (1...	[]	Test
41,334	16	Title: Backchannel Detection and Agreement Estimation from Video with Transformer Networks Abstract: Listeners use short interjections, so-called backchannels, to signify attention or express agreement. The automatic analysis of this behavior is of key importance for human conversation analysis and interactive conversa...	[ 45519 ]	Test
41,335	30	Title: Neural approaches to spoken content embedding Abstract: Comparing spoken segments is a central operation to speech processing. Traditional approaches in this area have favored frame-level dynamic programming algorithms, such as dynamic time warping, because they require no supervision, but they are limited in pe...	[]	Validation
41,336	10	Title: TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents Abstract: With recent advancements in natural language processing, Large Language Models (LLMs) have emerged as powerful tools for various real-world applications. Despite their prowess, the intrinsic generative abilities of LLMs may prov...	[ 7936, 40192, 27138, 13700, 22148, 10510, 19088, 22288, 5522, 8978, 35090, 43925, 3609, 9499, 32286, 42270, 19747, 295, 8103, 36907, 6963, 33715, 35388, 29757, 1854, 33853, 33477, 15943, 14920, 14153, 31439, 18643, 5461, 28886, 11614, 867, 22115...	Train
41,337	24	Title: Learning Computational Efficient Bots with Costly Features Abstract: Deep reinforcement learning (DRL) techniques have become increasingly used in various fields for decision-making processes. However, a challenge that often arises is the trade-off between both the computational efficiency of the decision-making...	[ 44048 ]	Test
41,338	27	Title: Design of an Energy-Aware Cartesian Impedance Controller for Collaborative Disassembly Abstract: Human-robot collaborative disassembly is an emerging trend in the sustainable recycling process of electronic and mechanical products. It requires the use of advanced technologies to assist workers in repetitive phys...	[]	Train
41,339	28	Title: Experimental Evaluation of Air-to-Ground VHF Band Communication for UAV Relays Abstract: Unmanned Aerial Vehicles (UAVs) are a disruptive technology that is transforming a range of industries. Because they operate in the sky, UAVs are able to take advantage of strong Line-of-Sight (LoS) channels for radio propag...	[]	Train
41,340	24	Title: Certifiable (Multi)Robustness Against Patch Attacks Using ERM Abstract: Consider patch attacks, where at test-time an adversary manipulates a test image with a patch in order to induce a targeted misclassification. We consider a recent defense to patch attacks, Patch-Cleanser (Xiang et al. [2022]). The Patch-Cle...	[]	Validation
41,341	24	Title: Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction Abstract: Sparsity is a common issue in many trajectory datasets, including human mobility data. This issue frequently brings more difficulty to relevant learning tasks, such as trajectory imputation and prediction. Nowadays, ...	[ 42290 ]	Train
41,342	24	Title: Causal Inference out of Control: Estimating the Steerability of Consumption Abstract: Regulators and academics are increasingly interested in the causal effect that algorithmic actions of a digital platform have on consumption. We introduce a general causal inference problem we call the steerability of consumpti...	[]	Train
41,343	30	Title: Semi-supervised Relation Extraction via Data Augmentation and Consistency-training Abstract: Due to the semantic complexity of the Relation extraction (RE) task, obtaining high-quality human labelled data is an expensive and noisy process. To improve the sample efficiency of the models, semi-supervised learning ...	[]	Train
41,344	28	Title: Quantum Symmetric Private Information Retrieval with Secure Storage and Eavesdroppers Abstract: We consider both the classical and quantum variations of $X$-secure, $E$-eavesdropped and $T$-colluding symmetric private information retrieval (SPIR). This is the first work to study SPIR with $X$-security in classic...	[ 21889 ]	Train
41,345	16	Title: Learning from Abstract Images: on the Importance of Occlusion in a Minimalist Encoding of Human Poses Abstract: Existing 2D-to-3D pose lifting networks suffer from poor performance in cross-dataset benchmarks. Although the use of 2D keypoints joined by"stick-figure"limbs has shown promise as an intermediate step...	[]	Train
41,346	15	Title: Machine Learning-based Low Overhead Congestion Control Algorithm for Industrial NoCs Abstract: Network-on-Chip (NoC) congestion builds up during heavy traffic load and cripples the system performance by stalling the cores. Moreover, congestion leads to wasted link bandwidth due to blocked buffers and bouncing pa...	[]	Test
41,347	30	Title: Explaining Relation Classification Models with Semantic Extents Abstract: nan	[]	Validation
41,348	16	Title: iEdit: Localised Text-guided Image Editing with Weak Supervision Abstract: Diffusion models (DMs) can generate realistic images with text guidance using large-scale datasets. However, they demonstrate limited controllability in the output space of the generated images. We propose a novel learning method for text...	[ 11820, 7078 ]	Train
41,349	4	Title: G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Abstract: As a collaborative paradigm, Federated Learning (FL) empowers clients to engage in collective model training without exchanging their respective local data. Nevertheless, FL remains vulnerable ...	[ 38914 ]	Train
41,350	30	Title: LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models Abstract: We propose LLM-Eval, a unified multi-dimensional automatic evaluation method for open-domain conversations with large language models (LLMs). Existing evaluation methods often rely on human...	[ 38208, 19778, 37411, 33220, 15818, 12015, 42991, 26162, 8084, 12602, 39451, 4317 ]	Train
41,351	7	Title: GPU-Resident Sparse Direct Linear Solvers for Alternating Current Optimal Power Flow Analysis Abstract: Integrating renewable resources within the transmission grid at a wide scale poses significant challenges for economic dispatch as it requires analysis with more optimization parameters, constraints, and sourc...	[]	Validation
41,352	16	Title: Generalist: Decoupling Natural and Robust Generalization Abstract: Deep neural networks obtained by standard training have been constantly plagued by adversarial examples. Although adversarial training demonstrates its capability to defend against adversarial examples, unfortunately, it leads to an inevitable dr...	[ 26517 ]	Validation
41,353	30	Title: CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts Abstract: Social media platforms play an essential role in crisis communication, but analyzing crisis-related social media texts is challenging due to their informal nature. Transformer-based pre-trained m...	[ 11373 ]	Test
41,354	16	Title: TempT: Temporal consistency for Test-time adaptation Abstract: We introduce Temporal consistency for Test-time adaptation (TempT), a novel method for test-time adaptation on videos through the use of temporal coherence of predictions across sequential frames as a self-supervision signal. TempT is an approach wit...	[ 43608, 23627 ]	Train
41,355	30	Title: What’s New? Identifying the Unfolding of New Events in a Narrative Abstract: Narratives include a rich source of events unfolding over time and context. Automatic understanding of these events provides a summarised comprehension of the narrative for further computation (such as reasoning). In this paper, we stud...	[]	Test
41,356	24	Title: Towards Symmetry-Aware Generation of Periodic Materials Abstract: We consider the problem of generating periodic materials with deep models. While symmetry-aware molecule generation has been studied extensively, periodic materials possess different symmetries, which have not been completely captured by existing ...	[]	Train
41,357	13	Title: Limit-behavior of a hybrid evolutionary algorithm for the Hasofer-Lind reliability index problem Abstract: In probabilistic structural mechanics, the Hasofer-Lind reliability index problem is a paradigmatic equality constrained problem of searching for the minimum distance from a point to a surface. In practical...	[]	Train
41,358	28	Title: Weakly Secure Summation with Colluding Users Abstract: In secure summation, K users, each holds an input, wish to compute the sum of the inputs at a server without revealing any information about all the inputs even if the server may collude with an arbitrary subset of users. In this work, we relax the security ...	[ 12280, 4169, 25606 ]	Train
41,359	23	Title: STPA for Learning-Enabled Systems: A Survey and A New Practice Abstract: Systems Theoretic Process Analysis (STPA) is a systematic approach for hazard analysis that has been used across many industrial sectors including transportation, energy, and defense. The unstoppable trend of using Machine Learning (ML) in ...	[ 36581 ]	Validation
41,360	27	Title: Efficient Optimization-based Cable Force Allocation for Geometric Control of Multiple Quadrotors Transporting a Payload Abstract: We consider transporting a heavy payload that is attached to multiple quadrotors. The current state-of-the-art controllers either do not avoid inter-robot collision at all, leading to...	[ 23281 ]	Train
41,361	16	Title: Random Weights Networks Work as Loss Prior Constraint for Image Restoration Abstract: In this paper, orthogonal to the existing data and model studies, we instead resort our efforts to investigate the potential of loss function in a new perspective and present our belief ``Random Weights Networks can Be Acted as...	[]	Validation
41,362	6	Title: Estimating and approaching maximum information rate of noninvasive visual brain-computer interface Abstract: The mission of visual brain-computer interfaces (BCIs) is to enhance information transfer rate (ITR) to reach high speed towards real-life communication. Despite notable progress, noninvasive visual BCIs ...	[]	Train
41,363	24	Title: Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Abstract: Two main challenges in Reinforcement Learning (RL) are designing appropriate reward functions and ensuring the safety of the learned policy. To address these challenges, we present a theoretical framework for Inverse Rei...	[]	Validation
41,364	4	Title: Unconditionally secure ciphers with a short key for a source with unknown statistics Abstract: We consider the problem of constructing an unconditionally secure cipher with a short key for the case where the probability distribution of encrypted messages is unknown. Note that unconditional security means that an...	[]	Test
41,365	30	Title: Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity Abstract: Previous work has shown that the representations output by contextual language models are more anisotropic than static type embeddings, and typically display outlier dimensions. This seems t...	[]	Test
41,366	6	Title: A Valid Self-Report is Never Late, Nor is it Early: On Considering the "Right" Temporal Distance for Assessing Emotional Experience Abstract: Developing computational models for automatic affect prediction requires valid self-reports about individuals' emotional interpretations of stimuli. In this article, we hi...	[]	Train
41,367	16	Title: Graph based Label Enhancement for Multi-instance Multi-label learning Abstract: Multi-instance multi-label (MIML) learning is widely applicated in numerous domains, such as the image classification where one image contains multiple instances correlated with multiple logic labels simultaneously. The related label...	[]	Test
41,368	30	Title: Sequential Query Encoding For Complex Query Answering on Knowledge Graphs Abstract: Complex Query Answering (CQA) is an important and fundamental task for knowledge graph (KG) reasoning. Query encoding (QE) is proposed as a fast and robust solution to CQA. In the encoding process, most existing QE methods first ...	[ 33892, 18852, 7818, 16049, 15293 ]	Validation
41,369	31	Title: ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading Abstract: With the rapid growth and spread of online misinformation, people need tools to help them evaluate the credibility and accuracy of online information. Lateral reading, a strategy that involves cross-referencing inf...	[]	Test
41,370	4	Title: GPS-Spoofing Attack Detection Mechanism for UAV Swarms Abstract: Recently autonomous and semi-autonomous Unmanned Aerial Vehicle (UAV) swarms started to receive a lot of research interest and demand from various civil application fields. However, for a successful mission execution UAV swarms require Global Navig...	[]	Train
41,371	39	Title: Parameterized Analysis of the Cops and Robber Problem Abstract: \textit{Pursuit-evasion games} have been intensively studied for several decades due to their numerous applications in artificial intelligence, robot motion planning, database theory, distributed computing, and algorithmic theory. \textsc{Cops and R...	[]	Validation
41,372	24	Title: Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting Abstract: Multivariate Time Series (MTS) forecasting involves modeling temporal dependencies within historical records. Transformers have demonstrated remarkable performance in MTS forecasting due to their capability to capture lon...	[]	Validation
41,373	16	Title: Equiangular Basis Vectors Abstract: We propose Equiangular Basis Vectors (EBVs) for classification tasks. In deep neural networks, models usually end with a k-way fully connected layer with softmax to handle different classification tasks. The learning objective of these methods can be summarized as mapping the ...	[]	Train
41,374	4	Title: FastPacket: Towards Pre-trained Packets Embedding based on FastText for next-generation NIDS Abstract: New Attacks are increasingly used by attackers every day but many of them are not detected by Intrusion Detection Systems as most IDS ignore raw packet information and only care about some basic statistical i...	[]	Train
41,375	17	Title: Towards Neural Path Tracing in SRAM Abstract: We present an experimental neural path tracer designed to exploit the large on-chip memory of Graphcore intelligence-processing-units (IPUs). This open source renderer demonstrates how to map path tracing to the novel software and hardware architecture and is a usefu...	[ 3629 ]	Train
41,376	8	Title: Cellular Wireless Networks in the Upper Mid-Band Abstract: The upper mid-band -- roughly from 7 to 24 GHz -- has attracted considerable recent interest for new cellular services. This frequency range has vastly more spectrum than the highly congested bands below 7 GHz while offering more favorable propagation an...	[]	Train
41,377	31	Title: Multi-View Interactive Collaborative Filtering Abstract: In many scenarios, recommender system user interaction data such as clicks or ratings is sparse, and item turnover rates (e.g., new articles, job postings) high. Given this, the integration of contextual"side"information in addition to user-item ratings is...	[]	Test

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