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
18,878	16	Title: ColMix - A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images Abstract: In the last decade, Convolutional Neural Network (CNN) and transformer based object detectors have achieved high performance on a large variety of datasets. Though the majority of detect...	[]	Test
18,879	28	Title: Improving Spectral Efficiency via Pilot Assignment and Subarray Selection Under Realistic XL-MIMO Channels Abstract: nan	[]	Validation
18,880	24	Title: Fair oversampling technique using heterogeneous clusters Abstract: nan	[]	Test
18,881	16	Title: Diffusion idea exploration for art generation Abstract: Cross-Modal learning tasks have picked up pace in recent times. With plethora of applications in diverse areas, generation of novel content using multiple modalities of data has remained a challenging problem. To address the same, various generative modelli...	[]	Test
18,882	30	Title: MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization Abstract: State-of-the-art summarization systems can generate highly fluent summaries. These summaries, however, may contain factual inconsistencies and/or information not present in the source. Hence, ...	[ 10179, 29223, 37360, 4466, 10870, 12602 ]	Train
18,883	16	Title: Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization Abstract: Fisheye image rectification has a long-term unresolved issue with synthetic-to-real generalization. In most previous works, the model trained on the synthetic images obtains unsatisfactory performance on the r...	[ 26869 ]	Train
18,884	16	Title: CLIPTER: Looking at the Bigger Picture in Scene Text Recognition Abstract: Reading text in real-world scenarios often requires understanding the context surrounding it, especially when dealing with poor-quality text. However, current scene text recognizers are unaware of the bigger picture as they operate on cro...	[ 2384 ]	Validation
18,885	24	Title: Tanimoto Random Features for Scalable Molecular Machine Learning Abstract: The Tanimoto coefficient is commonly used to measure the similarity between molecules represented as discrete fingerprints, either as a distance metric or a positive definite kernel. While many kernel methods can be accelerated using rand...	[]	Test
18,886	28	Title: Additive complementary dual codes over $\mathbb{F}_{q^2}$ Abstract: Shi et al. [Additive complementary dual codes over F4. Designs, Codes and Cryptography, 2022.] studied additive codes over the finite field F4 with respect to trace Hermitian and trace Euclidean inner products. In this article, we define additiv...	[]	Validation
18,887	24	Title: Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits Abstract: Purpose: The development of machine learning models for surgical workflow and instrument recognition from temporal data represents a challenging task due to the complex nature of surgical workflows. In particular, the...	[]	Train
18,888	16	Title: PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait Abstract: Psychological trait estimation from external factors such as movement and appearance is a challenging and long-standing problem in psychology, and is principally based on the psychological theory of embodiment. To date, attemp...	[]	Test
18,889	16	Title: Real-Time Semantic Scene Completion Via Feature Aggregation And Conditioned Prediction Abstract: Semantic Scene Completion (SSC) aims to simultaneously predict the volumetric occupancy and semantic category of a 3D scene. In this paper, we propose a real-time semantic scene completion method with a feature aggre...	[ 36625, 19114, 36030, 1895 ]	Train
18,890	34	Title: Learning-Augmented Online Packet Scheduling with Deadlines Abstract: The modern network aims to prioritize critical traffic over non-critical traffic and effectively manage traffic flow. This necessitates proper buffer management to prevent the loss of crucial traffic while minimizing the impact on non-critical ...	[]	Train
18,891	8	Title: Digital Twin-Assisted Adaptive Preloading for Short Video Streaming Abstract: We propose a digital twin-assisted adaptive preloading scheme to enhance bandwidth efficiency and user quality of experience (QoE) in short video streaming. We first analyze the relationship between the achievable throughput and video ...	[ 18222 ]	Train
18,892	16	Title: Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models Abstract: Visual Question Answering is a challenging task, as it requires seamless interaction between perceptual, linguistic, and background knowledge systems. While the recent progress of visual and natural language models li...	[ 10624, 30243, 30870 ]	Test
18,893	27	Title: Multi-agent Collective Construction using 3D Decomposition Abstract: This paper addresses a Multi-Agent Collective Construction (MACC) problem that aims to build a three-dimensional structure comprised of cubic blocks. We use cube-shaped robots that can carry one cubic block at a time, and move forward, reverse,...	[]	Train
18,894	24	Title: Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries Abstract: Recently deep learning surrogates and neural operators have shown promise in solving partial differential equations (PDEs). However, they often require a large amo...	[]	Train
18,895	22	Title: Large Language Models for Compiler Optimization Abstract: We explore the novel application of Large Language Models to code optimization. We present a 7B-parameter transformer model trained from scratch to optimize LLVM assembly for code size. The model takes as input unoptimized assembly and outputs a list of c...	[ 32450, 13700, 33220, 23302, 17517, 4884, 14869, 40565, 43641, 3932, 29725 ]	Validation
18,896	31	Title: Semi-supervised Adversarial Learning for Complementary Item Recommendation Abstract: Complementary item recommendations are a ubiquitous feature of modern e-commerce sites. Such recommendations are highly effective when they are based on collaborative signals like co-purchase statistics. In certain online market...	[]	Test
18,897	16	Title: AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor Abstract: Magnetic resonance imaging (MRI) is commonly used for brain tumor segmentation, which is critical for patient evaluation and treatment planning. To reduce the labor and expertise required for labeling, weakly-sup...	[ 25644 ]	Train
18,898	5	Title: Performance Optimization using Multimodal Modeling and Heterogeneous GNN Abstract: Growing heterogeneity and configurability in HPC architectures has made auto-tuning applications and runtime parameters on these systems very complex. Users are presented with a multitude of options to configure parameters. In add...	[ 17753, 31581 ]	Validation
18,899	37	Title: WhaleVis: Visualizing the History of Commercial Whaling Abstract: Whales are an important part of the oceanic ecosystem. Although historic commercial whale hunting a.k.a. whaling has severely threatened whale populations, whale researchers are looking at historical whaling data to inform current whale status and...	[]	Train
18,900	5	Title: Scalable and Cost-effective Data Flow Analysis for Distributed Software: Algorithms and Applications Abstract: More and more distributed software systems are being developed and deployed today. Like other software, distributed software systems also need very strong quality assurance support. Distributed software...	[]	Validation
18,901	34	Title: Massively-Parallel Heat Map Sorting and Applications To Explainable Clustering Abstract: Given a set of points labeled with $k$ labels, we introduce the heat map sorting problem as reordering and merging the points and dimensions while preserving the clusters (labels). A cluster is preserved if it remains connec...	[]	Train
18,902	30	Title: Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data Abstract: Relation extraction (RE) aims to extract relations from sentences and documents. Existing relation extraction models typically rely on supervised machine learning. However, recent studies showed that many RE ...	[ 26425, 38390 ]	Test
18,903	25	Title: CQNV: A combination of coarsely quantized bitstream and neural vocoder for low rate speech coding Abstract: Recently, speech codecs based on neural networks have proven to perform better than traditional methods. However, redundancy in traditional parameter quantization is visible within the codec architecture o...	[]	Validation
18,904	16	Title: FaceSkin: A Privacy Preserving Facial skin patch Dataset for multi Attributes classification Abstract: Human facial skin images contain abundant textural information that can serve as valuable features for attribute classification, such as age, race, and gender. Additionally, facial skin images offer the advanta...	[]	Validation
18,905	30	Title: The Energy Worker Profiler from Technologies to Skills to Realize Energy Efficiency in Manufacturing Abstract: In recent years, the manufacturing sector has been responsible for nearly 55 percent of total energy consumption, inducing a major impact on the global ecosystem. Although stricter regulations, restrict...	[]	Train
18,906	37	Title: Leveraging Large Language Models (LLMs) for Process Mining (Technical Report) Abstract: This technical report describes the intersection of process mining and large language models (LLMs), specifically focusing on the abstraction of traditional and object-centric process mining artifacts into textual format. We ...	[ 27880, 11626, 41296, 20507, 13501, 26878 ]	Test
18,907	30	Title: Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework Abstract: Connectionist Temporal Classification (CTC) is a widely used criterion for training supervised sequence-to-sequence (seq2seq) models. It enables learning the relations between input and output sequences...	[ 37445 ]	Train
18,908	16	Title: YOLOv6 v3.0: A Full-Scale Reloading Abstract: The YOLO community has been in high spirits since our first two releases! By the advent of Chinese New Year 2023, which sees the Year of the Rabbit, we refurnish YOLOv6 with numerous novel enhancements on the network architecture and the training scheme. This release...	[ 30400, 6055, 40583, 4491, 1399, 31097, 890, 93, 39742 ]	Train
18,909	7	Title: From ductile damage to unilateral contact via point-wise implicit discontinuity at the infinitesimal element level Abstract: Ductile damage models and cohesive laws incorporate the material plasticity entailing the growth of irrecoverable deformations even after complete failure. This unrealistic growth remains ...	[ 38967 ]	Validation
18,910	24	Title: Energy Prediction using Federated Learning Abstract: In this work, we demonstrate the viability of using federated learning to successfully predict energy consumption as well as solar production for all households within a certain network using low-power and low-space consuming embedded devices. We also demonstr...	[]	Test
18,911	23	Title: SlipCover: Near Zero-Overhead Code Coverage for Python Abstract: Coverage analysis is widely used but can suffer from high overhead. This overhead is especially acute in the context of Python, which is already notoriously slow (a recent study observes a roughly 30x slowdown vs. native code). We find that the sta...	[]	Test
18,912	27	Title: Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization Abstract: Relative localization is a crucial functional block of any robotic swarm. We address it in a fleet of nano-drones characterized by a 10 cm-scale form factor, which makes them highly versatile but also str...	[]	Train
18,913	26	Title: PyGenStability: Multiscale community detection with generalized Markov Stability Abstract: We present PyGenStability, a general-use Python software package that provides a suite of analysis and visualisation tools for unsupervised multiscale community detection in graphs. PyGenStability finds optimized partition...	[ 8885 ]	Validation
18,914	24	Title: Neuro-symbolic Rule Learning in Real-world Classification Tasks Abstract: Neuro-symbolic rule learning has attracted lots of attention as it offers better interpretability than pure neural models and scales better than symbolic rule learning. A recent approach named pix2rule proposes a neural Disjunctive Normal ...	[]	Validation
18,915	10	Title: The Double Helix inside the NLP Transformer Abstract: We introduce a framework for analyzing various types of information in an NLP Transformer. In this approach, we distinguish four layers of information: positional, syntactic, semantic, and contextual. We also argue that the common practice of adding positiona...	[]	Train
18,916	28	Title: User Selection for Simple Passive Beamforming in Multi-RIS-Aided Multi-User Communications Abstract: This paper focuses on multi-user downlink signal transmission in a wireless system aided by multiple reconfigurable intelligent surfaces (RISs). In such a multi-RIS, multi-user, multi-antenna scenario, determinin...	[ 32620, 30010, 24731, 1684 ]	Validation
18,917	4	Title: Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis Abstract: Recent studies reveal that Autonomous Vehicles (AVs) can be manipulated by hidden backdoors, causing them to perform harmful actions when activated by physical triggers. However, it is still unclear how these trigger...	[]	Train
18,918	24	Title: OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis Abstract: Alzheimer's disease (AD) cannot be reversed, but early diagnosis will significantly benefit patients' medical treatment and care. In recent works, AD diagnosis has the primary assumption that all categories are known ...	[]	Test
18,919	5	Title: Reducing shared memory footprint to leverage high throughput on Tensor Cores and its flexible API extension library Abstract: Matrix-matrix multiplication is used for various linear algebra algorithms such as matrix decomposition and tensor contraction. NVIDIA Tensor Core is a mixed-precision matrix-matrix multi...	[ 36734 ]	Train
18,920	4	Title: CCTFv1: Computational Modeling of Cyber Team Formation Strategies Abstract: Rooted in collaborative efforts, cybersecurity spans the scope of cyber competitions and warfare. Despite extensive research into team strategy in sports and project management, empirical study in cyber-security is minimal. This gap moti...	[]	Validation
18,921	24	Title: Adaptive Conditional Quantile Neural Processes Abstract: Neural processes are a family of probabilistic models that inherit the flexibility of neural networks to parameterize stochastic processes. Despite providing well-calibrated predictions, especially in regression problems, and quick adaptation to new tasks,...	[ 26914 ]	Train
18,922	25	Title: Validity in Music Information Research Experiments Abstract: Validity is the truth of an inference made from evidence, such as data collected in an experiment, and is central to working scientifically. Given the maturity of the domain of music information research (MIR), validity in our opinion should be discuss...	[]	Test
18,923	27	Title: Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics Abstract: Guaranteeing safety in human-centric applications is critical in robot learning as the learned policies may demonstrate unsafe behaviors in formerly unseen scenarios. We present a framework to locally repair an ...	[]	Train
18,924	24	Title: Active Data Acquisition in Autonomous Driving Simulation Abstract: Autonomous driving algorithms rely heavily on learning-based models, which require large datasets for training. However, there is often a large amount of redundant information in these datasets, while collecting and processing these datasets can ...	[ 5693, 2191 ]	Test
18,925	24	Title: 3D molecule generation by denoising voxel grids Abstract: We propose a new score-based approach to generate 3D molecules represented as atomic densities on regular grids. First, we train a denoising neural network that learns to map from a smooth distribution of noisy molecules to the distribution of real molecu...	[ 34923 ]	Validation
18,926	27	Title: Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams Abstract: Trust has been identified as a central factor for effective human-robot teaming. Existing literature on trust modeling predominantly focuses on dyadic human-autonomy teams where one human agent intera...	[ 44225 ]	Train
18,927	31	Title: CAViaR: Context Aware Video Recommendations Abstract: Many recommendation systems rely on point-wise models, which score items individually. However, point-wise models generating scores for a video are unable to account for other videos being recommended in a query. Due to this, diversity has to be introduced th...	[]	Train
18,928	10	Title: Exploring Attention Map Reuse for Efficient Transformer Neural Networks Abstract: Transformer-based deep neural networks have achieved great success in various sequence applications due to their powerful ability to model long-range dependency. The key module of Transformer is self-attention (SA) which extracts f...	[]	Train
18,929	24	Title: Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study Abstract: Coping with distributional shifts is an important part of transfer learning methods in order to perform well in real-life tasks. However, most of the existing approaches in this area either focus on an idea...	[]	Train
18,930	30	Title: An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking Abstract: Existing fact-checking models for biomedical claims are typically trained on synthetic or well-worded data and hardly transfer to social media content. This mismatch can be mitigated by adapting the social media input to ...	[]	Test
18,931	8	Title: Extending Kubernetes Networking to make use of Segment Routing over IPv6 (SRv6) Abstract: —Kubernetes is the leading platform for orchestrating containerized applications. In this paper, we extend Kubernetes networking to make use of SRv6, a feature-rich overlay networking mechanism. Integration with SRv6 can be...	[]	Test
18,932	16	Title: Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge Abstract: Among all the sub-sections in a typical radiology report, the Clinical Indications, Findings, and Impression often reflect important details about the health status of a patient. The information included in Impression...	[ 37467, 15620, 519 ]	Train
18,933	24	Title: A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes Abstract: The proximal policy optimization (PPO) algorithm stands as one of the most prosperous methods in the field of reinforcement learning (RL). Despite its success, the theoretical understanding of PPO rema...	[ 41957, 4422, 25319, 6456, 29372, 24703 ]	Train
18,934	24	Title: Disentanglement of Latent Representations via Sparse Causal Interventions Abstract: The process of generating data such as images is controlled by independent and unknown factors of variation. The retrieval of these variables has been studied extensively in the disentanglement, causal representation learning, an...	[]	Validation
18,935	39	Title: Fair allocation algorithms for indivisible items under structured conflict constraints Abstract: nan	[]	Train
18,936	24	Title: Morphological Classification of Galaxies Using SpinalNet Abstract: Deep neural networks (DNNs) with a step-by-step introduction of inputs, which is constructed by imitating the somatosensory system in human body, known as SpinalNet have been implemented in this work on a Galaxy Zoo dataset. The input segmentatio...	[]	Train
18,937	6	Title: A2D: Anywhere Anytime Drumming Abstract: The drum kit, which has only been around for around 100 years, is a popular instrument in many music genres such as pop, rock, and jazz. However, the road to owning a kit is expensive, both financially and space-wise. Also, drums are more difficult to move around compared...	[]	Train
18,938	3	Title: Student Usage of Q&A Forums: Signs of Discomfort? Abstract: Q&A forums are widely used in large classes to provide scalable support. In addition to offering students a space to ask questions, these forums aim to create a community and promote engagement. Prior literature suggests that the way students participat...	[]	Train
18,939	24	Title: Provably Efficient Algorithm for Nonstationary Low-Rank MDPs Abstract: Reinforcement learning (RL) under changing environment models many real-world applications via nonstationary Markov Decision Processes (MDPs), and hence gains considerable interest. However, theoretical studies on nonstationary MDPs in the li...	[ 3997 ]	Validation
18,940	16	Title: Strip-MLP: Efficient Token Interaction for Vision MLP Abstract: Token interaction operation is one of the core modules in MLP-based models to exchange and aggregate information between different spatial locations. However, the power of token interaction on the spatial dimension is highly dependent on the spatial...	[ 29873 ]	Train
18,941	25	Title: Characterization of cough sounds using statistical analysis Abstract: Cough is a primary symptom of most respiratory diseases, and changes in cough characteristics provide valuable information for diagnosing respiratory diseases. The characterization of cough sounds still lacks concrete evidence, which makes it ...	[]	Test
18,942	16	Title: Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks Abstract: — Generative Networks have proved to be extremely effective in image restoration and reconstruction in the past few years. Generating faces from textual descriptions is one such application where...	[]	Train
18,943	31	Title: Improving Recommendation Systems with User Personality Inferred from Product Reviews Abstract: Personality is a psychological factor that reflects people's preferences, which in turn influences their decision-making. We hypothesize that accurate modeling of users' personalities improves recommendation systems' p...	[]	Train
18,944	5	Title: MuMFiM: Multiscale Modeling of Fibrous Materials Abstract: This article presents MuMFiM, an open source application for multiscale modeling of fibrous materials on massively parallel computers. MuMFiM uses two scales to represent fibrous materials such as biological network materials (extracellular matrix, conne...	[]	Train
18,945	24	Title: OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection Abstract: Out-of-Distribution (OOD) detection is critical for the reliable operation of open-world intelligent systems. Despite the emergence of an increasing number of OOD detection methods, the evaluation inconsistencies present challenges for ...	[ 36934, 18386, 45363, 25754, 42651 ]	Validation
18,946	6	Title: Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks Abstract: Conversational search systems can improve user experience in digital libraries by facilitating a natural and intuitive way to interact with library content. However, most conversational search systems are limited to perform...	[]	Train
18,947	24	Title: Entity Aware Modelling: A Survey Abstract: Personalized prediction of responses for individual entities caused by external drivers is vital across many disciplines. Recent machine learning (ML) advances have led to new state-of-the-art response prediction models. Models built at a population level often lead to ...	[ 8153 ]	Train
18,948	10	Title: Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver Abstract: Constraint programming is known for being an efficient approach for solving combinatorial problems. Important design choices in a solver are the branching heuristics, which are designed to lead the search to the best so...	[]	Train
18,949	31	Title: Denoising and Prompt-Tuning for Multi-Behavior Recommendation Abstract: In practical recommendation scenarios, users often interact with items under multi-typed behaviors (e.g., click, add-to-cart, and purchase). Traditional collaborative filtering techniques typically assume that users only have a single type o...	[ 43946, 3563, 1357, 34719 ]	Validation
18,950	27	Title: H$_{2}$-Mapping: Real-Time Dense Mapping Using Hierarchical Hybrid Representation Abstract: Constructing a high-quality dense map in real-time is essential for robotics, AR/VR, and digital twins applications. As Neural Radiance Field (NeRF) greatly improves the mapping performance, in this letter, we propose a N...	[]	Train
18,951	24	Title: Fast Likelihood-Based Change Point Detection Abstract: nan	[]	Test
18,952	30	Title: Understanding Telecom Language Through Large Language Models Abstract: The recent progress of artificial intelligence (AI) opens up new frontiers in the possibility of automating many tasks involved in Telecom networks design, implementation, and deployment. This has been further pushed forward with the evolutio...	[ 16556 ]	Train
18,953	24	Title: Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning Abstract: A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would provide insights into the question of what a deep learning system has ...	[]	Validation
18,954	5	Title: A unified cloud-enabled discrete event parallel and distributed simulation architecture Abstract: nan	[]	Validation
18,955	16	Title: No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection Abstract: Temporal video grounding (TVG) aims to retrieve the time interval of a language query from an untrimmed video. A significant challenge in TVG is the low"Semantic Noise Ratio (SNR)", which results in wor...	[ 8317 ]	Train
18,956	23	Title: Reducing large adaptation spaces in self-adaptive systems using classical machine learning Abstract: nan	[ 26519 ]	Train
18,957	24	Title: Federated Learning under Heterogeneous and Correlated Client Availability Abstract: The enormous amount of data produced by mobile and IoT devices has motivated the development of federated learning (FL), a framework allowing such devices (or clients) to collaboratively train machine learning models without shar...	[ 28670 ]	Validation
18,958	34	Title: Parameterized Complexity Classification for Interval Constraints Abstract: Constraint satisfaction problems form a nicely behaved class of problems that lends itself to complexity classification results. From the point of view of parameterized complexity, a natural task is to classify the parameterized complexit...	[]	Test
18,959	5	Title: Uncertainty-Aware Workload Prediction in Cloud Computing Abstract: Predicting future resource demand in Cloud Computing is essential for managing Cloud data centres and guaranteeing customers a minimum Quality of Service (QoS) level. Modelling the uncertainty of future demand improves the quality of the predicti...	[]	Train
18,960	23	Title: Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT Abstract: Context: AI-assisted code generation tools have become increasingly prevalent in software engineering, offering the ability to generate code from natural language pr...	[ 43044, 7270, 2219, 25227, 45229, 22097, 19315, 36025 ]	Train
18,961	16	Title: 3D Keypoint Estimation Using Implicit Representation Learning Abstract: In this paper, we tackle the challenging problem of 3D keypoint estimation of general objects using a novel implicit representation. Previous works have demonstrated promising results for keypoint prediction through direct coordinate regress...	[]	Train
18,962	8	Title: A VHetNet-Enabled Asynchronous Federated Learning-Based Anomaly Detection Framework for Ubiquitous IoT Abstract: Anomaly detection for the Internet of Things (IoT) is a major intelligent service required by many fields, including intrusion detection, device-activity analysis, and security supervision. However, t...	[]	Train
18,963	10	Title: Hierarchical Needs-driven Agent Learning Systems: From Deep Reinforcement Learning To Diverse Strategies Abstract: The needs describe the necessities for a system to survive and evolve, which arouses an agent to action toward a goal, giving purpose and direction to behavior. Based on Maslow hierarchy of needs, a...	[ 31160 ]	Validation
18,964	15	Title: The Mirage of Breaking MIRAGE: Refuting the HPCA-2023 Paper "Are Randomized Caches Truly Random?" Abstract: The HPCA-2023 paper"Are Randomized Caches Truly Random?"makes the claim that"MIRAGE is broken"while relying on two faulty assumptions: (1) starting from a severely compromised initial state where some sets...	[]	Validation
18,965	16	Title: Towards Robust Video Instance Segmentation with Temporal-Aware Transformer Abstract: Most existing transformer based video instance segmentation methods extract per frame features independently, hence it is challenging to solve the appearance deformation problem. In this paper, we observe the temporal informatio...	[ 30908 ]	Train
18,966	30	Title: Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters Abstract: University admission at many highly selective institutions uses a holistic review process, where all aspects of the application, including protected attributes (e.g., race, gender)...	[]	Test
18,967	24	Title: SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms Abstract: In up-to-date machine learning (ML) applications on cloud or edge computing platforms, batching is an important technique for providing efficient and economical services at scale. In particular, parallel computing resources on t...	[]	Test
18,968	27	Title: 3D Scene Graph Prediction on Point Clouds Using Knowledge Graphs Abstract: 3D scene graph prediction is a task that aims to concurrently predict object classes and their relationships within a 3D environment. As these environments are primarily designed by and for humans, incorporating commonsense knowledge rega...	[]	Train
18,969	27	Title: HySST: A Stable Sparse Rapidly-Exploring Random Trees Optimal Motion Planning Algorithm for Hybrid Dynamical Systems Abstract: This paper proposes a stable sparse rapidly-exploring random trees (SST) algorithm to solve the optimal motion planning problem for hybrid systems. At each iteration, the proposed algori...	[]	Train
18,970	16	Title: GridCLIP: One-Stage Object Detection by Grid-Level CLIP Representation Learning Abstract: A vision-language foundation model pretrained on very large-scale image-text paired data has the potential to provide generalizable knowledge representation for downstream visual recognition and detection tasks, especially ...	[ 11561 ]	Test
18,971	30	Title: Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend Abstract: Word-level textual adversarial attacks have achieved striking performance in fooling natural language processing models. However, the fundamental questions of why these attacks are effective, and the intrinsi...	[]	Validation
18,972	6	Title: n Walks in the Fictional Woods Abstract: This paper presents a novel exploration of the interaction between generative AI models, visualization, and narrative generation processes, using OpenAI's GPT as a case study. We look at the question"Where Does Generativeness Comes From", which has a simple answer at the ...	[]	Train
18,973	22	Title: Practical compilation of fexprs using partial evaluation: Fexprs can performantly replace macros in purely-functional Lisp Abstract: Macros are a common part of Lisp languages, and one of their most lauded features. Much research has gone into making macros both safer and more powerful resulting in developments ...	[]	Test
18,974	27	Title: A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles Abstract: Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger comfort, transportation effici...	[ 1858, 41439, 30827, 17612, 38156, 25016, 10265, 43034, 8700, 43001, 27711 ]	Train
18,975	6	Title: Designing Situated Dashboards: Challenges and Opportunities Abstract: Situated Visualization is an emerging field that unites several areas - visualization, augmented reality, human-computer interaction, and internet-of-things, to support human data activities within the ubiquitous world. Likewise, dashboards ar...	[ 17832, 2995 ]	Train
18,976	16	Title: LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms Abstract: Modern surgeries are performed in complex and dynamic settings, including ever-changing interactions between medical staff, patients, and equipment. The holistic modeling of the operating room (OR) is, ...	[]	Test
18,977	5	Title: Parallel Algorithms for Hierarchical Nucleus Decomposition Abstract: Nucleus decompositions have been shown to be a useful tool for finding dense subgraphs. The coreness value of a clique represents its density based on the number of other cliques it is adjacent to. One useful output of nucleus decomposition is ...	[]	Train

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