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
19,278	24	Title: On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows Abstract: Towards safe autonomous driving (AD), we consider the problem of learning models that accurately capture the diversity and tail quantiles of human driver behavior probability distributions, in interaction...	[]	Train
19,279	34	Title: Algorithms for 3D Hilbert Encoding and Decoding Abstract: This paper presents algorithms and pseudocode for encoding and decoding 3D Hilbert orderings.	[]	Test
19,280	38	Title: The Issues with Journal Issues: Let Journals Be Digital Libraries Abstract: Science depends on a communication system, and today, that is largely provided by digital technologies such as the internet and web. Despite the fact that digital technologies provide the infrastructure for this communication system, pee...	[]	Test
19,281	10	Title: Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints Abstract: Unlike cloud-based deep learning models that are often large and uniform, edge-deployed models usually demand customization for domain-specific tasks and resource-limited environments. Such customization pro...	[ 8423 ]	Validation
19,282	4	Title: African Union Convention on Cyber Security and Personal Data Protection: Challenges and Future Directions Abstract: This paper investigates the challenges and opportunities of implementing the African Union Convention on Cyber Security and Personal Data Protection (AUDPC) across Africa. Focusing on legal, regula...	[]	Train
19,283	36	Title: Reputation-based Persuasion Platforms Abstract: In this paper, we introduce a two-stage Bayesian persuasion model in which a third-party platform controls the information available to the sender about users' preferences. We aim to characterize the optimal information disclosure policy of the platform, which maxi...	[]	Test
19,284	4	Title: Algorithms for Reconstructing DDoS Attack Graphs using Probabilistic Packet Marking Abstract: DoS and DDoS attacks are widely used and pose a constant threat. Here we explore Probability Packet Marking (PPM), one of the important methods for reconstructing the attack-graph and detect the attackers. We present tw...	[]	Train
19,285	16	Title: Degraded Polygons Raise Fundamental Questions of Neural Network Perception Abstract: It is well-known that modern computer vision systems often exhibit behaviors misaligned with those of humans: from adversarial attacks to image corruptions, deep learning vision models suffer in a variety of settings that humans...	[]	Train
19,286	4	Title: Attacker Profiling Through Analysis of Attack Patterns in Geographically Distributed Honeypots Abstract: Honeypots are a well-known and widely used technology in the cybersecurity community, where it is assumed that placing honeypots in different geographical locations provides better visibility and increases ef...	[]	Train
19,287	27	Title: A Flexible Framework for Virtual Omnidirectional Vision to Improve Operator Situation Awareness Abstract: During teleoperation of a mobile robot, providing good operator situation awareness is a major concern as a single mistake can lead to mission failure. Camera streams are widely used for teleoperation but of...	[]	Train
19,288	24	Title: Neighborhood-Regularized Self-Training for Learning with Few Labels Abstract: Training deep neural networks (DNNs) with limited supervision has been a popular research topic as it can significantly alleviate the annotation burden. Self-training has been successfully applied in semi-supervised learning tasks, but...	[ 24391, 33322, 26319, 9872, 41744, 26802, 24217, 28090 ]	Test
19,289	16	Title: RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation Abstract: Glass-like objects are widespread in daily life but remain intractable to be segmented for most existing methods. The transparent property makes it difficult to be distinguished from background, while the tiny separation boundary furth...	[]	Train
19,290	24	Title: Spatial Heterophily Aware Graph Neural Networks Abstract: Graph Neural Networks (GNNs) have been broadly applied in many urban applications upon formulating a city as an urban graph whose nodes are urban objects like regions or points of interest. Recently, a few enhanced GNN architectures have been developed to...	[ 27746 ]	Test
19,291	24	Title: Efficient Generator of Mathematical Expressions for Symbolic Regression Abstract: nan	[]	Train
19,292	28	Title: HARQ Delay Minimization of 5G Wireless Network with Imperfect Feedback Abstract: 5G new radio (NR) technology is introduced to satisfy more demanding services. Ultra-Reliable Low Latency Communication (URLLC) requires very low delay compared with the previous techniques. This is hard to achieve when hybrid autom...	[]	Validation
19,293	3	Title: Political, economic, and governance attitudes of blockchain users Abstract: We present a survey to evaluate crypto-political, crypto-economic, and crypto-governance sentiment in people who are part of a blockchain ecosystem. Based on 3,710 survey responses, we describe their beliefs, attitudes, and modes of part...	[]	Test
19,294	16	Title: MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification Abstract: To benefit the complementary information between heterogeneous data, we introduce a new Multimodal Transformer (MMFormer) for Remote Sensing (RS) image classification using Hyperspectral Image (HSI)...	[]	Train
19,295	27	Title: Investigation of the Challenges of Underwater-Visual-Monocular-SLAM Abstract: In this paper, we present a comprehensive investigation of the challenges of Monocular Visual Simultaneous Localization and Mapping (vSLAM) methods for underwater robots. While significant progress has been made in state estimation met...	[ 40193 ]	Train
19,296	17	Title: Energy management system for biological 3D printing by the refinement of manifold model morphing in flexible grasping space Abstract: The use of 3D printing, or additive manufacturing, has gained significant attention in recent years due to its potential for revolutionizing traditional manufacturing processes. O...	[]	Test
19,297	6	Title: Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty Abstract: Artificial Intelligence (AI) increasingly becomes an indispensable advisor. New ethical concerns arise if AI persuades people to behave dishonestly. In an experiment, we study how AI advice (generated by a Natural-L...	[ 19255 ]	Train
19,298	24	Title: GKD: Generalized Knowledge Distillation for Auto-regressive Sequence Models Abstract: Knowledge distillation is commonly used for compressing neural networks to reduce their inference cost and memory footprint. However, current distillation methods for auto-regressive models, such as generative language models (...	[ 12741, 6979, 6797, 14959 ]	Train
19,299	10	Title: Cognitive Semantic Communication Systems Driven by Knowledge Graph Abstract: Semantic communication is envisioned as a promising technique to break through the Shannon limit. However, the existing semantic communication frameworks do not involve inference and error correction, which limits the achievable perform...	[ 19040, 11003, 31317, 29886 ]	Train
19,300	30	Title: Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases Abstract: This paper investigates whether current large language models exhibit biases in logical reasoning, similar to humans. Specifically, we focus on syllogistic reasoning, a well-studied form of inference in...	[]	Train
19,301	24	Title: Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS Abstract: Causal modeling provides us with powerful counterfactual reasoning and interventional mechanism to generate predictions and reason under various what-if scenarios. However, causal discovery using observation data remains a n...	[ 18358, 17367 ]	Train
19,302	25	Title: Distance-based Weight Transfer from Near-field to Far-field Speaker Verification Abstract: The scarcity of labeled far-field speech is a constraint for training superior far-field speaker verification systems. Fine-tuning the model pre-trained on large-scale near-field speech substantially outperforms training f...	[]	Validation
19,303	24	Title: DeepGate2: Functionality-Aware Circuit Representation Learning Abstract: Circuit representation learning aims to obtain neural representations of circuit elements and has emerged as a promising research direction that can be applied to various EDA and logic reasoning tasks. Existing solutions, such as DeepGate, ...	[]	Train
19,304	26	Title: Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules Abstract: This study proposes an extendable modelling framework for Digital Twin-Oriented Complex Networked Systems (DT-CNSs) with a goal of generating networks that faithfully represent real systems. Model...	[]	Test
19,305	30	Title: Minding Language Models’ (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker Abstract: Theory of Mind (ToM)—the ability to reason about the mental states of other people—is a key element of our social intelligence. Yet, despite their ever more impressive performance, large-scale neural langu...	[ 13700, 33477, 2475, 20085, 21401 ]	Train
19,306	13	Title: Finding Morton-Like Layouts for Multi-Dimensional Arrays Using Evolutionary Algorithms Abstract: The layout of multi-dimensional data can have a significant impact on the efficacy of hardware caches and, by extension, the performance of applications. Common multi-dimensional layouts include the canonical row-maj...	[ 36486 ]	Train
19,307	16	Title: Class-Incremental Exemplar Compression for Class-Incremental Learning Abstract: Exemplar-based class-incremental learning (CIL) [36] finetunes the model with all samples of new classes but few-shot exemplars of old classes in each incremental phase, where the “few-shot” abides by the limited memory budget. In th...	[ 7175, 11243, 3920, 41176, 14618 ]	Train
19,308	16	Title: S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces Abstract: Neural rendering of implicit surfaces performs well in 3D vision applications. However, it requires dense input views as supervision. When only sparse input images are available, output quality drops significantly due to the ...	[ 23014 ]	Train
19,309	32	Title: Rigorous Function Calculi in Ariadne Abstract: Almost all problems in applied mathematics, including the analysis of dynamical systems, deal with spaces of real-valued functions on Euclidean domains in their formulation and solution. In this paper, we describe the the tool Ariadne, which provides a rigorous calc...	[]	Train
19,310	6	Title: Visual Belief Elicitation Reduces the Incidence of False Discovery Abstract: Visualization supports exploratory data analysis (EDA), but EDA frequently presents spurious charts, which can mislead people into drawing unwarranted conclusions. We investigate interventions to prevent false discovery from visualized ...	[]	Validation
19,311	24	Title: BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning Abstract: In the field of phase change phenomena, the lack of accessible and diverse datasets suitable for machine learning (ML) training poses a significant challenge. Existing experimental datasets are often restricted, with limited availabi...	[ 20539, 38070, 878, 6415 ]	Validation
19,312	27	Title: SMART: Self-Morphing Anytime Replanning Tree Abstract: The paper presents an algorithm, called Self- Morphing Anytime Replanning Tree (SMART), that facilitates anytime replanning in dynamic environments. SMART performs risk-based tree-pruning if its current path is obstructed by nearby moving obstacle(s), result...	[]	Validation
19,313	34	Title: One Tree to Rule Them All: Poly-Logarithmic Universal Steiner Tree Abstract: A spanning tree $T$ of graph $G$ is a $\rho$-approximate universal Steiner tree (UST) for root vertex $r$ if, for any subset of vertices $S$ containing $r$, the cost of the minimal subgraph of $T$ connecting $S$ is within a $\rho$ facto...	[ 33405 ]	Test
19,314	24	Title: Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Abstract: Sample efficiency is one of the most critical issues for online reinforcement learning (RL). Existing methods achieve higher sample efficiency by adopting model-based methods, Q-ensemble, or better explora...	[ 30200, 32051 ]	Train
19,315	23	Title: ChatGPT and Software Testing Education: Promises & Perils Abstract: Over the past decade, predictive language modeling for code has proven to be a valuable tool for enabling new forms of automation for developers. More recently, we have seen the ad-vent of general purpose "large language models", based on neural...	[ 13581, 18960, 25765, 22824, 26792, 23853, 26544, 37424, 11190, 36025, 44611, 33477, 18250, 11476, 20185, 100, 40036, 5611, 18411, 9471 ]	Test
19,316	24	Title: Generalization Bounds: Perspectives from Information Theory and PAC-Bayes Abstract: A fundamental question in theoretical machine learning is generalization. Over the past decades, the PAC-Bayesian approach has been established as a flexible framework to address the generalization capabilities of machine learnin...	[]	Train
19,317	23	Title: Characterizing Architecture Related Posts and Their Usefulness in Stack Overflow Abstract: Context: Stack Overflow (SO) has won the intention from software engineers (e.g., architects) to learn, practice, and utilize development knowledge, such as Architectural Knowledge (AK). But little is known about AK commun...	[]	Validation
19,318	38	Title: Wikipedia and open access Abstract: Wikipedia is a well-known platform for disseminating knowledge, and scientific sources, such as journal articles, play a critical role in supporting its mission. The open access movement aims to make scientific knowledge openly available, and we might intuitively expect open a...	[]	Train
19,319	16	Title: Dissecting Continual Learning a Structural and Data Analysis Abstract: Continual Learning (CL) is a field dedicated to devise algorithms able to achieve lifelong learning. Overcoming the knowledge disruption of previously acquired concepts, a drawback affecting deep learning models and that goes by the name of c...	[]	Test
19,320	17	Title: Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes Abstract: This report surveys advances in deep learning‐based modelling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations for indoor sce...	[ 38330, 19590, 6716, 15886 ]	Train
19,321	36	Title: Cooperative concurrent games Abstract: nan	[ 25569 ]	Train
19,322	6	Title: A Wearable RFID-Based Navigation System for the Visually Impaired Abstract: Recent studies have focused on developing advanced assistive devices to help blind or visually impaired people. Navigation is challenging for this community; however, developing a simple yet reliable navigation system is still an unmet n...	[]	Train
19,323	2	Title: The umbilical cord of finite model theory Abstract: Model theory was born and developed as a part of mathematical logic. It has various application domains but is not beholden to any of them. A priori, the research area known as ﬁnite model theory would be just a part of model theory but didn’t turn out that way...	[]	Train
19,324	27	Title: Toward a Millimeter-Scale Tendon-Driven Continuum Wrist with Integrated Gripper for Microsurgical Applications Abstract: Microsurgery, wherein surgeons operate on extremely small structures frequently visualized under a micro- scope, is a particularly impactful yet challenging form of surgery. Robot assisted mic...	[]	Train
19,325	16	Title: IterativePFN: True Iterative Point Cloud Filtering Abstract: The quality of point clouds is often limited by noise introduced during their capture process. Consequently, a fundamental 3D vision task is the removal of noise, known as point cloud filtering or denoising. State-of-the-art learning based methods focu...	[ 26370 ]	Test
19,326	24	Title: Provably Personalized and Robust Federated Learning Abstract: Clustering clients with similar objectives and learning a model per cluster is an intuitive and interpretable approach to personalization in federated learning. However, doing so with provable and optimal guarantees has remained an open challenge. In ...	[]	Train
19,327	24	Title: Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Abstract: Multi-task learning (MTL) can improve the generalization performance of neural networks by sharing representations with related tasks. Nonetheless, MTL can also degrade performance through harmful interference between tasks. Recent wor...	[]	Validation
19,328	34	Title: Improved Space Bounds for Learning with Experts Abstract: We give improved tradeoffs between space and regret for the online learning with expert advice problem over $T$ days with $n$ experts. Given a space budget of $n^{\delta}$ for $\delta \in (0,1)$, we provide an algorithm achieving regret $\tilde{O}(n^2 T^{...	[ 33609, 15613 ]	Test
19,329	28	Title: Coded Orthogonal Modulation for the Multi-Antenna Multiple-Access Channel Abstract: This study focuses on (traditional and unsourced) multiple-access communication over a single transmit and multiple ($M$) receive antennas. We assume full or partial channel state information (CSI) at the receiver. It is known th...	[ 24434 ]	Validation
19,330	30	Title: Boosting Radiology Report Generation by Infusing Comparison Prior Abstract: Recent transformer-based models have made significant strides in generating radiology reports from chest X-ray images. However, a prominent challenge remains; these models often lack prior knowledge, resulting in the generation of synthe...	[]	Train
19,331	30	Title: Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation Names Abstract: Developing dialogue relation extraction (DRE) systems often requires a large amount of labeled data, which can be costly and time-consuming to annotate. In order to improve scalability and support diverse, unseen...	[]	Validation
19,332	2	Title: DNN Verification, Reachability, and the Exponential Function Problem Abstract: Deep neural networks (DNNs) are increasingly being deployed to perform safety-critical tasks. The opacity of DNNs, which prevents humans from reasoning about them, presents new safety and security challenges. To address these challeng...	[ 36002, 44076 ]	Train
19,333	34	Title: Breaking a Barrier in Constructing Compact Indexes for Parameterized Pattern Matching Abstract: A parameterized string (p-string) is a string over an alphabet $(\Sigma_{s} \cup \Sigma_{p})$, where $\Sigma_{s}$ and $\Sigma_{p}$ are disjoint alphabets for static symbols (s-symbols) and for parameter symbols (p-sym...	[]	Validation
19,334	1	Title: Bamboo: Boosting Training Efficiency for Real-Time Video Streaming via Online Grouped Federated Transfer Learning Abstract: Most of the learning-based algorithms for bitrate adaptation are limited to offline learning, which inevitably suffers from the simulation-to-reality gap. Online learning can better adapt t...	[]	Train
19,335	30	Title: Adversarial Transformer Language Models for Contextual Commonsense Inference Abstract: Contextualized or discourse aware commonsense inference is the task of generating coherent commonsense assertions (i.e., facts) from a given story, and a particular sentence from that story. Some problems with the task are: la...	[ 36341 ]	Validation
19,336	9	Title: Coloring a Dominating Set Without Conflicts: q-Subset Square Coloring Abstract: nan	[]	Validation
19,337	3	Title: Artificial intelligence and biological misuse: Differentiating risks of language models and biological design tools Abstract: As advancements in artificial intelligence (AI) propel progress in the life sciences, they may also enable the weaponisation and misuse of biological agents. This article differentiates t...	[ 33220, 24170, 40494, 5071, 37906, 35388, 1917 ]	Train
19,338	24	Title: Robust Reinforcement Learning through Efficient Adversarial Herding Abstract: Although reinforcement learning (RL) is considered the gold standard for policy design, it may not always provide a robust solution in various scenarios. This can result in severe performance degradation when the environment is exposed...	[]	Validation
19,339	23	Title: LiSum: Open Source Software License Summarization with Multi-Task Learning Abstract: Open source software (OSS) licenses regulate the conditions under which users can reuse, modify, and distribute the software legally. However, there exist various OSS licenses in the community, written in a formal language, whic...	[]	Test
19,340	34	Title: Approximating Bin Packing with Conflict Graphs via Maximization Techniques Abstract: We give a comprehensive study of bin packing with conflicts (BPC). The input is a set $I$ of items, sizes $s:I \rightarrow [0,1]$, and a conflict graph $G = (I,E)$. The goal is to find a partition of $I$ into a minimum number of...	[ 23227, 28645 ]	Test
19,341	18	Title: Embedding Security into Ferroelectric FET Array via In-Situ Memory Operation Abstract: Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties of near-zero leakage power consumption, high density and non-volatility. However, NVMs also face c...	[]	Train
19,342	4	Title: Making Your Program Oblivious: a Comparative Study for Side-channel-safe Confidential Computing Abstract: Trusted Execution Environments (TEEs) are gradually adopted by major cloud providers, offering a practical option of \emph{confidential computing} for users who don't fully trust public clouds. TEEs use CPU-...	[]	Train
19,343	24	Title: Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling Abstract: Protein representation learning has primarily benefited from the remarkable development of language models (LMs). Accordingly, pre-trained protein models also suffer from a problem in LMs: a lack of factual knowledge. The...	[ 29073 ]	Train
19,344	34	Title: Adding a Tail in Classes of Perfect Graphs Abstract: Consider a graph G which belongs to a graph class C. We are interested in connecting a node w∉V(G) to G by a single edge uw where u∈V(G); we call such an edge a tail. As the graph resulting from G after the addition of the tail, denoted G+uw, need not belong t...	[]	Train
19,345	23	Title: A Machine Learning Approach for Hierarchical Classification of Software Requirements Abstract: Context: Classification of software requirements into different categories is a critically important task in requirements engineering (RE). Developing machine learning (ML) approaches for requirements classification ha...	[]	Test
19,346	24	Title: Ridge Estimation with Nonlinear Transformations Abstract: Ridge estimation is an important manifold learning technique. The goal of this paper is to examine the effects of nonlinear transformations on the ridge sets. The main result proves the inclusion relationship between ridges: $\cR(f\circ p)\subseteq \cR(p)...	[ 33026 ]	Train
19,347	5	Title: On coexistence of decentralized system (blockchain) and central management in Internet-of-Things Abstract: Network is composed of logical nodes and edges for communications. Atomistic component of things connected to the network is a memory chip. Accordingly, the unique linkage of a memory chip and a logical nod...	[]	Train
19,348	27	Title: Soft Continuum Actuator Tip Position and Contact Force Prediction, Using Electrical Impedance Tomography and Recurrent Neural Networks Abstract: Enabling dexterous manipulation and safe human-robot interaction, soft robots are widely used in numerous surgical applications. One of the complications associated wit...	[ 7402, 28828 ]	Train
19,349	24	Title: FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation Abstract: Generating realistic human flows across regions is essential for our understanding of urban structures and population activity patterns, enabling important applications in the fields of urban planning and management. ...	[ 18622 ]	Validation
19,350	24	Title: Improving Heterogeneous Model Reuse by Density Estimation Abstract: This paper studies multiparty learning, aiming to learn a model using the private data of different participants. Model reuse is a promising solution for multiparty learning, assuming that a local model has been trained for each party. Consideri...	[]	Test
19,351	23	Title: MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension Abstract: MobiScout is an iOS software that monitors users' driving habits and physiological conditions while on the road. The Mobiscout app was created to provide a low-cost next-generation da...	[]	Train
19,352	16	Title: Whale Detection Enhancement through Synthetic Satellite Images Abstract: With a number of marine populations in rapid decline, collecting and analyzing data about marine populations has become increasingly important to develop effective conservation policies for a wide range of marine animals, including whales. ...	[]	Validation
19,353	3	Title: Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges Abstract: With the advent of new technologies and endeavors for automation in almost all day-to-day activities, the recent discussions on the metaverse life have a greater expectation. Furthermore, we are in the era ...	[ 8697, 30258, 14204, 44921 ]	Train
19,354	15	Title: Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration Abstract: Graph Neural Networks (GNNs) have revolutionized many Machine Learning (ML) applications, such as social network analysis, bioinformatics, etc. GNN inference can be accelerated by exploiting data sparsity in the inpu...	[ 689, 34014, 20022 ]	Train
19,355	8	Title: Dynamic Service-Orientation for Software-Defined In-Vehicle Networks Abstract: Modern In-Vehicle Networks (IVNs) are composed of a large number of devices and services linked via an Ethernet-based time-sensitive network. Communication in future IVNs will become more dynamic as services can be updated, added, or ...	[]	Test
19,356	24	Title: Partial Inference in Structured Prediction Abstract: In this paper, we examine the problem of partial inference in the context of structured prediction. Using a generative model approach, we consider the task of maximizing a score function with unary and pairwise potentials in the space of labels on graphs. Empl...	[]	Train
19,357	30	Title: Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks Abstract: Transducer and Attention based Encoder-Decoder (AED) are two widely used frameworks for speech-to-text tasks. They are designed for different purposes and each has its own benefits and drawbacks for speech-to-text t...	[ 40955 ]	Train
19,358	30	Title: Event Causality Extraction with Event Argument Correlations Abstract: Event Causality Identification (ECI), which aims to detect whether a causality relation exists between two given textual events, is an important task for event causality understanding. However, the ECI task ignores crucial event structure and ...	[ 6061 ]	Train
19,359	34	Title: Graph Theory and its Uses in Graph Algorithms and Beyond Abstract: Graphs are fundamental objects that find widespread applications across computer science and beyond. Graph Theory has yielded deep insights about structural properties of various families of graphs, which are leveraged in the design and analysis ...	[]	Train
19,360	24	Title: Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer Abstract: Most state-of-the-art deep domain adaptation techniques align source and target samples in a global fashion. That is, after alignment, each source sample is expected to become similar to any target sample. However, global align...	[ 11478 ]	Train
19,361	18	Title: Spiking frequency modulation of proteinoids with light and realisation of Boolean gates Abstract: This paper examines the modulation of proteinoid spiking frequency in response to light. Proteinoids are proteins formed through thermal condensation of amino acids and have been found to exhibit spiking behaviour i...	[ 29573 ]	Test
19,362	16	Title: Adaptive manifold for imbalanced transductive few-shot learning Abstract: Transductive few-shot learning algorithms have showed substantially superior performance over their inductive counterparts by leveraging the unlabeled queries. However, the vast majority of such methods are evaluated on perfectly class-bal...	[]	Train
19,363	3	Title: Estimating Time to Clear Pendency of Cases in High Courts in India using Linear Regression Abstract: Indian Judiciary is suffering from burden of millions of cases that are lying pending in its courts at all the levels. The High Court National Judicial Data Grid (HC-NJDG) indexes all the cases pending in the hig...	[]	Train
19,364	24	Title: Unsupervised Conditional Slot Attention for Object Centric Learning Abstract: Extracting object-level representations for downstream reasoning tasks is an emerging area in AI. Learning object-centric representations in an unsupervised setting presents multiple challenges, a key one being binding an arbitrary num...	[]	Train
19,365	16	Title: Adversarial Alignment for Source Free Object Detection Abstract: Source-free object detection (SFOD) aims to transfer a detector pre-trained on a label-rich source domain to an unlabeled target domain without seeing source data. While most existing SFOD methods generate pseudo labels via a source-pretrained mode...	[ 43608, 11651 ]	Test
19,366	6	Title: Towards a Deep(er) Understanding of Interaction through Modeling, Simulation, and Optimization Abstract: The traditional user-centered design process can hardly keep up with the ever faster technical development and increasingly diverse user preferences. As a solution, we propose to augment the tried-and-tested ...	[]	Train
19,367	30	Title: Taken by Surprise: Contrast effect for Similarity Scores Abstract: Accurately evaluating the similarity of object vector embeddings is of critical importance for natural language processing, information retrieval and classification tasks. Popular similarity scores (e.g cosine similarity) are based on pairs of em...	[]	Validation
19,368	24	Title: FairGAT: Fairness-aware Graph Attention Networks Abstract: Graphs can facilitate modeling various complex systems such as gene networks and power grids, as well as analyzing the underlying relations within them. Learning over graphs has recently attracted increasing attention, particularly graph neural network-b...	[ 263 ]	Train
19,369	27	Title: Multi-log grasping using reinforcement learning and virtual visual servoing Abstract: We explore multi-log grasping using reinforcement learning and virtual visual servoing for automated forwarding. Automation of forest processes is a major challenge, and many techniques regarding robot control pose different ch...	[ 22597 ]	Train
19,370	24	Title: On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks Abstract: The increasing access to data poses both opportunities and risks in deep learning, as one can manipulate the behaviors of deep learning models with malicious training samples. Such attacks are known as data poisoning. Recent ad...	[ 40388, 33220, 15881, 1965, 28689 ]	Train
19,371	2	Title: Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions Abstract: We study the complexity of the problem of training neural networks defined via various activation functions. The training problem is known to be existsR-complete with respect to linear activation functions a...	[]	Train
19,372	16	Title: Exploiting the Textual Potential from Vision-Language Pre-training for Text-based Person Search Abstract: Text-based Person Search (TPS), is targeted on retrieving pedestrians to match text descriptions instead of query images. Recent Vision-Language Pre-training (VLP) models can bring transferable knowledge to ...	[ 40165 ]	Test
19,373	16	Title: AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms Abstract: Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in co...	[]	Train
19,374	3	Title: Compliance Costs of AI Technology Commercialization: A Field Deployment Perspective Abstract: While Artificial Intelligence (AI) technologies are progressing fast, compliance costs have become a huge financial burden for AI startups, which are already constrained on research & development budgets. This situation...	[]	Validation
19,375	10	Title: Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective Abstract: Reinforcement learning (RL) is a powerful tool for solving complex decision-making problems, but its lack of transparency and interpretability has been a major challenge in domains where decisions have...	[ 33220 ]	Validation
19,376	24	Title: Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks Abstract: We explore conditions for when the gradient of a deep declarative node can be approximated by ignoring constraint terms and still result in a descent direction for the global loss function. This has important...	[]	Train
19,377	37	Title: ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum Abstract: Modern scientific workflows require hybrid infrastructures combining numerous decentralized resources on the IoT/Edge interconnected to Cloud/HPC systems (aka the Computing Continuum) to enable their optimized execution. Un...	[ 2728, 45835 ]	Test

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