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
30,578	27	Title: Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm using Deep Multi-Agent Reinforcement Learning Abstract: Multi-agent pursuit-evasion tasks involving intelligent targets are notoriously challenging coordination problems. In this paper, we investigate new ways to learn such coordinated behaviors of ...	[]	Train
30,579	16	Title: Fine-Grained Product Classification on Leaflet Advertisements Abstract: In this paper, we describe a first publicly available fine-grained product recognition dataset based on leaflet images. Using advertisement leaflets, collected over several years from different European retailers, we provide a total of 41.6k...	[]	Train
30,580	28	Title: Energy Efficient Communications in RIS-assisted UAV Networks Based on Genetic Algorithm Abstract: This paper proposes a solution for energy-efficient communication in reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicle (UAV) networks. The limited battery life of UAVs is a major concern for ...	[ 18802 ]	Train
30,581	23	Title: Contradicting Motivations in Civic Tech Software Development: Analysis of a Grassroots Project Abstract: Grassroots civic tech, or software for social change, is an emerging practice where people create and then use software to create positive change in their community. In this interpretive case study, we apply ...	[]	Train
30,582	16	Title: DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition Abstract: The inevitable feature deviation of synthetic aperture radar (SAR) image due to the special imaging principle (depression angle variation) leads to poor recognition accuracy, especially in few-shot learning (FSL). To deal with t...	[]	Train
30,583	10	Title: Inferring the Future by Imagining the Past Abstract: A single panel of a comic book can say a lot: it shows not only where characters currently are, but also where they came from, what their motivations are, and what might happen next. More generally, humans can often infer a complex sequence of past and future ...	[ 35049 ]	Train
30,584	24	Title: SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance Abstract: We study Stochastic Gradient Descent with AdaGrad stepsizes: a popular adaptive (self-tuning) method for first-order stochastic optimization. Despite being well studied, exis...	[]	Train
30,585	4	Title: Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation Abstract: Due to convenience, open-source software is widely used. For beneficial reasons, open-source maintainers often fix the vulnerabilities silently, exposing their users unaware of the updates to threats. Previous works...	[ 42736 ]	Validation
30,586	10	Title: Multi-generational labour markets: data-driven discovery of multi-perspective system parameters using machine learning Abstract: Economic issues, such as inflation, energy costs, taxes, and interest rates, are a constant presence in our daily lives and have been exacerbated by global events such as pandemics, en...	[]	Train
30,587	30	Title: Human-in-the-Loop through Chain-of-Thought Abstract: While the emergence of powerful language models along with Chain-of-thought prompting has made automation more and more omnipresent, it sometimes demonstrates its weakness in long-term or multi-step logical reasoning. For example, users don't always get desira...	[ 7982, 19671 ]	Train
30,588	16	Title: FindVehicle and VehicleFinder: A NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval system Abstract: Natural language (NL) based vehicle retrieval is a task aiming to retrieve a vehicle that is most consistent with a given NL query from among all candidate ...	[]	Validation
30,589	4	Title: Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic Abstract: Machine learning (ML) is promising in accurately detecting malicious flows in encrypted network traffic; however, it is challenging to collect a training dataset that contains a sufficient amount of enc...	[ 6315 ]	Train
30,590	30	Title: HRDoc: Dataset and Baseline Method Toward Hierarchical Reconstruction of Document Structures Abstract: The problem of document structure reconstruction refers to converting digital or scanned documents into corresponding semantic structures. Most existing works mainly focus on splitting the boundary of each elem...	[ 20100 ]	Train
30,591	24	Title: Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion Abstract: Federated learning (FL) enables participating parties to collaboratively build a global model with boosted utility without disclosing private data information. Appropriate prote...	[]	Train
30,592	13	Title: Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Abstract: Throughout history, the development of artificial intelligence, particularly artificial neural networks, has been open to and constantly inspired by the increasingly deepened understanding of the brain, such as the inspirat...	[]	Test
30,593	5	Title: LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms Abstract: Recently, Unmanned Aerial Vehicles (UAVs) have shown impressive performance in many critical applications, such as surveillance, search and rescue operations, environmental monitoring, etc. In many of t...	[]	Test
30,594	30	Title: LAST: Scalable Lattice-Based Speech Modelling in JAX Abstract: We introduce LAST, a LAttice-based Speech Transducer library in JAX. With an emphasis on flexibility, ease-of-use, and scalability, LAST implements differentiable weighted finite state automaton (WFSA) algorithms needed for training \&inference that ...	[]	Test
30,595	16	Title: Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization Abstract: Application of neural networks in industrial settings, such as automated factories with bin-picking solutions requires costly production of large labeled data-sets. This paper presents an automatic data generation tool with a procedur...	[]	Train
30,596	16	Title: Full Point Encoding for Local Feature Aggregation in 3D Point Clouds Abstract: Point cloud processing methods exploit local point features and global context through aggregation which does not explicity model the internal correlations between local and global features. To address this problem, we propose full po...	[]	Validation
30,597	10	Title: Every Mistake Counts in Assembly Abstract: One promising use case of AI assistants is to help with complex procedures like cooking, home repair, and assembly tasks. Can we teach the assistant to interject after the user makes a mistake? This paper targets the problem of identifying ordering mistakes in assembly ...	[]	Test
30,598	16	Title: Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains Abstract: Diabetic Retinopathy (DR) is a common complication of diabetes and a leading cause of blindness worldwide. Early and accurate grading of its severity is crucial for disease management. Although deep learning has shown great potential ...	[ 39036 ]	Train
30,599	15	Title: OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit Abstract: This paper proposes OpenPARF, an open-source placement and routing framework for large-scale FPGA designs. OpenPARF is implemented with the deep learning toolkit PyTorch and supports ...	[ 2352 ]	Train
30,600	6	Title: Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data Abstract: Motion tracking"telemetry"data lies at the core of nearly all modern virtual reality (VR) and metaverse experiences. While generally presumed innocuous, recent studies have demonstrated that motion data actual...	[ 9112, 32791 ]	Train
30,601	16	Title: Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition Abstract: Recently, large-scale pre-trained vision-language models have presented benefits for alleviating class imbalance in long-tailed recognition. However, the long-tailed data distribution can corrupt the rep...	[]	Train
30,602	6	Title: Around-Body Interaction: Leveraging Limb Movements for Interacting in a Digitally Augmented Physical World Abstract: Recent technological advances have made head-mounted displays (HMDs) smaller and untethered, fostering the vision of ubiquitous interaction with information in a digitally augmented physical world...	[]	Train
30,603	16	Title: Read, Look or Listen? What's Needed for Solving a Multimodal Dataset Abstract: The prevalence of large-scale multimodal datasets presents unique challenges in assessing dataset quality. We propose a two-step method to analyze multimodal datasets, which leverages a small seed of human annotation to map each multi...	[ 31484, 16284 ]	Train
30,604	36	Title: Local and adaptive mirror descents in extensive-form games Abstract: We study how to learn $\epsilon$-optimal strategies in zero-sum imperfect information games (IIG) with trajectory feedback. In this setting, players update their policies sequentially based on their observations over a fixed number of episodes,...	[]	Train
30,605	4	Title: SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs Abstract: Dynamic partial reconfiguration enables multi-tenancy in cloud-based FPGAs, which presents security challenges for tenants, IPs, and data. Malicious users can exploit FPGAs for remote side-ch...	[]	Test
30,606	24	Title: Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems Abstract: We present a model inversion algorithm, CKLEMAP, for data assimilation and parameter estimation in partial differential equation models of physical systems with spatially heterogeneous parameter ...	[ 34322 ]	Validation
30,607	34	Title: On Dynamic Graph Algorithms with Predictions Abstract: We study dynamic algorithms in the model of algorithms with predictions. We assume the algorithm is given imperfect predictions regarding future updates, and we ask how such predictions can be used to improve the running time. This can be seen as a model int...	[ 8346 ]	Validation
30,608	4	Title: Detecting Phishing Sites Using ChatGPT Abstract: The rise of large language models (LLMs) has had a significant impact on various domains, including natural language processing and artificial intelligence. While LLMs such as ChatGPT have been extensively researched for tasks such as code generation and text synt...	[ 58, 18764, 25765, 29590 ]	Train
30,609	24	Title: Accuracy Amplification in Differentially Private Logistic Regression: A Pre-Training Approach Abstract: Machine learning (ML) models can memorize training datasets. As a result, training ML models over private datasets can violate the privacy of individuals. Differential privacy (DP) is a rigorous privacy notion...	[ 22000 ]	Test
30,610	10	Title: PCG-based Static Underground Garage Scenario Generation Abstract: Autonomous driving technology has five levels, from L0 to L5. Currently, only the L2 level (partial automation) can be achieved, and there is a long way to go before reaching the final level of L5 (full automation). The key to crossing these level...	[ 5693, 2191 ]	Validation
30,611	16	Title: Live American Sign Language Letter Classification with Convolutional Neural Networks Abstract: This project is centered around building a neural network that is able to recognize ASL letters in images, particularly within the scope of a live video feed. Initial testing results came up short of expectations when ...	[]	Train
30,612	30	Title: Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction Abstract: Creative writing is hard: Novelists struggle with writer's block daily. While automatic story generation has advanced recently, it is treated as a"toy task"for advancing artificial intelligence rather than helping people. In...	[]	Validation
30,613	27	Title: Pre-Deployment Testing of Low Speed, Urban Road Autonomous Driving in a Simulated Environment Abstract: Low speed autonomous shuttles emulating SAE Level L4 automated driving using human driver assisted autonomy have been operating in geo-fenced areas in several cities in the US and the rest of the world. These ...	[ 33005, 10422 ]	Test
30,614	24	Title: A Unified Approach to Controlling Implicit Regularization via Mirror Descent Abstract: Inspired by the remarkable success of deep neural networks, there has been significant interest in understanding the generalization performance of overparameterized models. Substantial efforts have been invested in characteriz...	[]	Train
30,615	2	Title: Hyper Hoare Logic: (Dis-)Proving Program Hyperproperties (extended version) Abstract: Hoare logics are proof systems that allow one to formally establish properties of computer programs. Traditional Hoare logics prove properties of individual program executions (so-called trace properties, such as functional cor...	[ 25450, 38605, 23878 ]	Test
30,616	16	Title: ABC: Attention with Bilinear Correlation for Infrared Small Target Detection Abstract: Infrared small target detection (ISTD) has a wide range of applications in early warning, rescue, and guidance. However, CNN based deep learning methods are not effective at segmenting infrared small target (IRST) that it lack...	[]	Train
30,617	16	Title: URL: Combating Label Noise for Lung Nodule Malignancy Grading Abstract: Due to the complexity of annotation and inter-annotator variability, most lung nodule malignancy grading datasets contain label noise, which inevitably degrades the performance and generalizability of models. Although researchers adopt the l...	[]	Train
30,618	24	Title: Score-based Source Separation with Applications to Digital Communication Signals Abstract: We propose a new method for separating superimposed sources using diffusion-based generative models. Our method relies only on separately trained statistical priors of independent sources to establish a new objective funct...	[ 1609 ]	Train
30,619	16	Title: Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning Abstract: Unsupervised domain adaptation person re-identification (Re-ID) aims to identify pedestrian images within an unlabeled target domain with an auxiliary labeled source-domain dataset. Many existing works ...	[]	Test
30,620	16	Title: Surface Geometry Processing: An Efficient Normal-based Detail Representation Abstract: With the rapid development of high-resolution 3D vision applications, the traditional way of manipulating surface detail requires considerable memory and computing time. To address these problems, we introduce an efficient sur...	[]	Train
30,621	16	Title: A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems Abstract: The physical attack has been regarded as a kind of threat against real-world computer vision systems. Still, many existing defense methods are only useful for small perturbations attacks and can't detect physica...	[ 38000 ]	Validation
30,622	4	Title: Separating Computational and Statistical Differential Privacy (Under Plausible Assumptions) Abstract: Computational diﬀerential privacy (CDP) is a natural relaxation of the standard notion of (statistical) diﬀerential privacy (SDP) proposed by Beimel, Nissim, and Omri (CRYPTO 2008) and Mironov, Pandey, Reingold,...	[]	Train
30,623	24	Title: A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting Abstract: Wind power forecasting helps with the planning for the power systems by contributing to having a higher level of certainty in decision-making. Due to the randomness inherent to meteorological events (e.g., wind speeds), making highly a...	[]	Train
30,624	10	Title: Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs Abstract: Despite advancements in LLMs, knowledge-based reasoning remains a longstanding issue due to the fragility of knowledge recall and inference. Existing methods primarily encourage LLMs to a...	[ 40192, 37601, 40610, 33220, 35580, 2506, 9518, 12015, 16401, 7091, 9907, 36563, 8892, 8732 ]	Test
30,625	16	Title: Wavelet-Based Unsupervised Label-to-Image Translation Abstract: Semantic Image Synthesis (SIS) is a subclass of image-to-image translation where a semantic layout is used to generate a photorealistic image. State-of-the-art conditional Generative Adversarial Networks (GANs) need a huge amount of paired data to a...	[ 32146, 35989 ]	Test
30,626	24	Title: A unified framework for information-theoretic generalization bounds Abstract: This paper presents a general methodology for deriving information-theoretic generalization bounds for learning algorithms. The main technical tool is a probabilistic decorrelation lemma based on a change of measure and a relaxation of...	[]	Test
30,627	16	Title: DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning Abstract: Zero-Shot Learning (ZSL) is an extreme form of transfer learning that aims at learning from a few “seen classes” to have an understanding about the “unseen classes” in the wild. Given a dataset in ZSL research, most existing ...	[]	Train
30,628	16	Title: OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution Abstract: Omnidirectional images (ODIs) have become increasingly popular, as their large field-of-view (FoV) can offer viewers the chance to freely choose the view directions in immersive environments such as virtual reality. The M\"obius tran...	[ 27589 ]	Train
30,629	16	Title: SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition Abstract: In the field of affective computing, researchers in the community have promoted the performance of models and algorithms by using the complementarity of multimodal information. However, the emergence of more and...	[]	Validation
30,630	24	Title: GPT Can Solve Mathematical Problems Without a Calculator Abstract: Previous studies have typically assumed that large language models are unable to accurately perform arithmetic operations, particularly multiplication of>8 digits, and operations involving decimals and fractions, without the use of calculator too...	[ 15812, 13700, 34981, 16014, 634, 11614 ]	Validation
30,631	24	Title: Collapsed Inference for Bayesian Deep Learning Abstract: Bayesian neural networks (BNNs) provide a formalism to quantify and calibrate uncertainty in deep learning. Current inference approaches for BNNs often resort to few-sample estimation for scalability, which can harm predictive performance, while its altern...	[]	Test
30,632	26	Title: Homophily-oriented Heterogeneous Graph Rewiring Abstract: With the rapid development of the World Wide Web (WWW), heterogeneous graphs (HG) have explosive growth. Recently, heterogeneous graph neural network (HGNN) has shown great potential in learning on HG. Current studies of HGNN mainly focus on some HGs with...	[ 23355, 31020, 26678, 32047 ]	Test
30,633	28	Title: A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs Abstract: Many modern applications involve accessing and processing graphical data, i.e. data that is naturally indexed by graphs. Examples come from internet graphs, social networks, genomics and proteomics, and other sources. The typical...	[]	Train
30,634	34	Title: Parallel Submodular Function Minimization Abstract: We consider the parallel complexity of submodular function minimization (SFM). We provide a pair of methods which obtain two new query versus depth trade-offs a submodular function defined on subsets of $n$ elements that has integer values between $-M$ and $M$....	[ 29867 ]	Train
30,635	23	Title: SimSched: A tool for Simulating Autosar Implementaion in Simulink Abstract: AUTOSAR (AUTomotive Open System ARchitecture) is an open industry standard for the automotive sector. It defines the three-layered automotive software architecture. One of these layers is the application layer, where functional behaviors...	[]	Test
30,636	30	Title: Entity Tracking in Language Models Abstract: Keeping track of how states of entities change as a text or dialog unfolds is a key prerequisite to discourse understanding. Yet, there have been few systematic investigations into the ability of large language models (LLMs) to track discourse entities. In this work, ...	[ 33220, 788, 27621 ]	Test
30,637	24	Title: DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs’ Reliability Assessment Abstract: Deep Neural Networks (DNNs) and their accelerators are being deployed ever more frequently in safety-critical applications leading to increasing reliability concerns. A traditional and accurate method for assessing DNNs’...	[ 44102, 12490, 39315, 5438 ]	Test
30,638	16	Title: DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing Abstract: Precise and controllable image editing is a challenging task that has attracted significant attention. Recently, DragGAN enables an interactive point-based image editing framework and achieves impressive editing result...	[ 16833, 6756, 16103, 39340, 36140, 29295, 33713, 41654, 15258, 14047 ]	Validation
30,639	16	Title: Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators Abstract: nan	[]	Train
30,640	27	Title: Toward Certifying Maps for Safe Localization Under Adversarial Corruption Abstract: In this paper, we propose a way to model the resilience of the Iterative Closest Point (ICP) algorithm in the presence of corrupted measurements. In the context of autonomous vehicles, certifying the safety of the localization pr...	[ 16078 ]	Train
30,641	30	Title: LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting Abstract: Multilingual image captioning has recently been tackled by training with large-scale machine translated data, which is an expensive, noisy, and time-consuming process. Without requiring any multilingual captio...	[ 30718, 32213, 36382 ]	Train
30,642	27	Title: A Robot Leg with Compact Variable Stiffness Joint based on Leaf-Spring Mechanism Abstract: The legged robots with variable stiffness actuators (VSAs) can achieve energy-efficient and versatile locomotion. However, equipping legged robots with VSAs in real-world application is usually restricted by (i) the redund...	[ 39580 ]	Test
30,643	16	Title: How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models Abstract: Recent text-to-image diffusion models have shown surprising performance in generating high-quality images. However, concerns have arisen regarding the unauthorized usage of data during the training process. One example is when a m...	[ 21152, 31137, 8547, 549, 34311, 31944, 13801, 15881, 30320, 45104, 27059, 40597 ]	Train
30,644	30	Title: Multimodal Document Analytics for Banking Process Automation Abstract: In response to growing FinTech competition and the need for improved operational efficiency, this research focuses on understanding the potential of advanced document analytics, particularly using multimodal models, in banking processes. We p...	[ 31164 ]	Train
30,645	24	Title: Online Learning in Dynamically Changing Environments Abstract: We study the problem of online learning and online regret minimization when samples are drawn from a general unknown non-stationary process. We introduce the concept of a dynamic changing process with cost $K$, where the conditional marginals of the ...	[ 38763 ]	Train
30,646	25	Title: Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning Abstract: Deep learning has been widely used recently for sound event detection and classification. Its success is linked to the availability of sufficiently large datasets, possibly with corresponding annotation...	[]	Train
30,647	30	Title: Toxicity Inspector: A Framework to Evaluate Ground Truth in Toxicity Detection Through Feedback Abstract: Toxic language is difficult to define, as it is not monolithic and has many variations in perceptions of toxicity. This challenge of detecting toxic language is increased by the highly contextual and subject...	[]	Train
30,648	16	Title: 3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset Abstract: 3D dense reconstruction refers to the process of obtaining the complete shape and texture features of 3D objects from 2D planar images. 3D reconstruction is an important and extensively studied problem, but it is far from being solv...	[]	Train
30,649	38	Title: Enriching Simple Keyword Queries for Domain-Aware Narrative Retrieval Abstract: Providing effective access paths to content is a key task in digital libraries. Oftentimes, such access paths are realized through advanced query languages, which, on the one hand, users may find challenging to learn or use, and on t...	[]	Train
30,650	24	Title: Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling Abstract: Policy optimization methods are powerful algorithms in Reinforcement Learning (RL) for their flexibility to deal with policy parameterization and ability to handle model misspecification. However, these methods usually suffe...	[ 38127 ]	Train
30,651	23	Title: APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge Abstract: Utilizing pre-existing software artifacts, such as libraries and Application Programming Interfaces (APIs), is crucial for software development efficiency. However, the abundance of artifacts that provide similar functionality can lead to co...	[]	Validation
30,652	34	Title: Lipschitz Continuous Algorithms for Covering Problems Abstract: Combinatorial algorithms are widely used for decision-making and knowledge discovery, and it is important to ensure that their output remains stable even when subjected to small perturbations in the input. Failure to do so can lead to several proble...	[]	Train
30,653	27	Title: High Speed Neuromorphic Vision-Based Inspection of Countersinks in Automated Manufacturing Processes Abstract: Countersink inspection is crucial in various automated assembly lines, especially in the aerospace and automotive sectors. Advancements in machine vision introduced automated robotic inspection of count...	[]	Test
30,654	27	Title: DSL-Assembly: A Robust and Safe Assembly Strategy Abstract: A reinforcement learning (RL) based method that enables the robot to accomplish the assembly-type task with safety regulations is proposed. The overall strategy consists of grasping and assembly, and this paper mainly considers the assembly strategy. Fo...	[]	Train
30,655	24	Title: Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications Abstract: In recent years, increasingly complex computational models are being built to describe physical systems which has led to increased use of s...	[]	Test
30,656	27	Title: Patrolling Grids with a Bit of Memory Abstract: We study the following problem in elementary robotics: can a mobile agent with $b$ bits of memory, which is able to sense only locations at Manhattan distance $V$ or less from itself, patrol a $d$-dimensional grid graph? We show that it is impossible to patrol some...	[]	Train
30,657	34	Title: Efficient Maximum k-Defective Clique Computation with Improved Time Complexity Abstract: $k$-defective cliques relax cliques by allowing up-to $k$ missing edges from being a complete graph. This relaxation enables us to find larger near-cliques and has applications in link prediction, cluster detection, social n...	[]	Train
30,658	4	Title: Pushing the Boundaries of Private, Large-Scale Query Answering Abstract: We address the problem of efficiently and effectively answering large numbers of queries on a sensitive dataset while ensuring differential privacy (DP). We separately analyze this problem in two distinct settings, grounding our work in a s...	[]	Validation
30,659	23	Title: Assertion Inferring Mutants Abstract: —Speciﬁcation inference techniques aim at (automat- ically) inferring a set of assertions that capture the exhibited software behaviour by generating and ﬁltering assertions through dynamic test executions and mutation testing. Although powerful, such techniques are computat...	[]	Train
30,660	4	Title: Lightweight Encryption and Anonymous Routing in NoC based SoCs Abstract: Advances in manufacturing technologies have enabled System-on-Chip (SoC) designers to integrate an increasing number of cores on a single SoC. Increasing SoC complexity coupled with tight time-to-market deadlines has led to increased utiliz...	[]	Train
30,661	3	Title: Practices and challenges in clinical data sharing Abstract: The debate on data access and privacy is an ongoing one. It is kept alive by the never-ending changes/upgrades in (i) the shape of the data collected (in terms of size, diversity, sensitivity and quality), (ii) the laws governing data sharing, (iii) the...	[]	Train
30,662	30	Title: Explicit Syntactic Guidance for Neural Text Generation Abstract: Most existing text generation models follow the sequence-to-sequence paradigm. Generative Grammar suggests that humans generate natural language texts by learning language grammar. We propose a syntax-guided generation schema, which generates the s...	[ 33220, 13700 ]	Train
30,663	34	Title: Maximum Weight Independent Set in Graphs with no Long Claws in Quasi-Polynomial Time Abstract: We show that the \textsc{Maximum Weight Independent Set} problem (\textsc{MWIS}) can be solved in quasi-polynomial time on $H$-free graphs (graphs excluding a fixed graph $H$ as an induced subgraph) for every $H$ whose...	[]	Validation
30,664	11	Title: Dynamic Adversarial Resource Allocation: the dDAB Game Abstract: This work proposes a dynamic and adversarial resource allocation problem in a graph environment, which is referred to as the dynamic Defender-Attacker Blotto (dDAB) game. A team of defender robots is tasked to ensure numerical advantage at every no...	[]	Test
30,665	16	Title: MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detection Abstract: Cross-domain object detection is challenging, and it involves aligning labeled source and unlabeled target domains. Previous approaches have used adversarial training to align features at both image-level and instance-level....	[]	Train
30,666	30	Title: A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction Abstract: Causal knowledge extraction is the task of extracting relevant causes and effects from text by detecting the causal relation. Although this task is important for language understanding and knowledge discovery, recent works in this ...	[]	Test
30,667	16	Title: Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution Abstract: Guided depth map super-resolution (GDSR), as a hot topic in multi-modal image processing, aims to upsample low-resolution (LR) depth maps with additional information involved in high-resolution (HR) RGB images from the same sce...	[ 18010, 4124, 33964 ]	Train
30,668	10	Title: Exploring the psychology of GPT-4's Moral and Legal Reasoning Abstract: Large language models have been used as the foundation of highly sophisticated artificial intelligences, capable of delivering human-like responses to probes about legal and moral issues. However, these models are unreliable guides to their ...	[ 13510, 42731, 846, 36528, 45905, 28242, 21724 ]	Test
30,669	16	Title: Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking Abstract: Siamese network has been a de facto benchmark framework for 3D LiDAR object tracking with a shared-parametric encoder extracting features from template and search region, respectively. This paradigm relies hea...	[ 16251, 19716 ]	Validation
30,670	24	Title: DPFormer: Learning Differentially Private Transformer on Long-Tailed Data Abstract: The Transformer has emerged as a versatile and effective architecture with broad applications. However, it still remains an open problem how to efficiently train a Transformer model of high utility with differential privacy guara...	[]	Train
30,671	16	Title: Video Question Answering Using CLIP-Guided Visual-Text Attention Abstract: Cross-modal learning of video and text plays a key role in Video Question Answering (VideoQA). In this paper, we propose a visual-text attention mechanism to utilize the Contrastive Language-Image Pre-training (CLIP) trained on lots of ge...	[ 8980 ]	Validation
30,672	5	Title: FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence Abstract: Edge Intelligence (EI) allows Artificial Intelligence (AI) applications to run at the edge, where data analysis and decision-making can be performed in real-time and close to data sources. To protect d...	[ 10186, 39843, 44778 ]	Test
30,673	28	Title: Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systems Abstract: A promising approach to deal with the high hardware cost and energy consumption of massive MIMO transmitters is to use low-resolution digital-to-analog converters (DACs) at each antenna element. This leads to...	[]	Test
30,674	7	Title: 3D Modeling of a Guitar Using a Computer Tomography Scan Abstract: This paper describes the development of a detailed 3D geometric model of an acoustical guitar. Modeling an instrument is a sophisticated task considering the individual parts and their complex shapes. The geometry of the parts visible from the ou...	[]	Train
30,675	24	Title: Safe and Sample-Efficient Reinforcement Learning for Clustered Dynamic Environments Abstract: This letter proposes a safe and sample-efficient reinforcement learning (RL) framework to address two major challenges in developing applicable RL algorithms: satisfying safety constraints and efficiently learning with ...	[ 3904, 39768, 7189 ]	Validation
30,676	5	Title: Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion Abstract: This paper introduces Laminar, a novel serverless framework based on dispel4py, a parallel stream-based dataflow library. Laminar efficiently manages streaming workflows and components through a dedicated reg...	[ 41579 ]	Train
30,677	28	Title: Minimum Eigenvalue Based Covariance Matrix Estimation with Limited Samples Abstract: In this paper, we consider the interference rejection combining (IRC) receiver, which improves the cell-edge user throughput via suppressing inter-cell interference and requires estimating the covariance matrix including the int...	[]	Train

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