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
31,278	24	Title: Randomized Schur Complement Views for Graph Contrastive Learning Abstract: We introduce a randomized topological augmentor based on Schur complements for Graph Contrastive Learning (GCL). Given a graph laplacian matrix, the technique generates unbiased approximations of its Schur complements and treats the corre...	[]	Validation
31,279	24	Title: Study of Distractors in Neural Models of Code Abstract: Finding important features that contribute to the prediction of neural models is an active area of research in explainable AI. Neural models are opaque and finding such features sheds light on a better understanding of their predictions. In contrast, in thi...	[ 21068 ]	Train
31,280	16	Title: MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences Abstract: Point cloud sequences are commonly used to accurately detect 3D objects in applications such as autonomous driving. Current top-performing multi-frame detectors mostly follow a Detect-and-Fuse framework, w...	[]	Train
31,281	30	Title: Towards Generalising Neural Topical Representations Abstract: Topic models have evolved from conventional Bayesian probabilistic models to Neural Topic Models (NTMs) over the last two decays. Although NTMs have achieved promising performance when trained and tested on a specific corpus, their generalisation abil...	[]	Test
31,282	17	Title: GA-Sketching: Shape Modeling from Multi-View Sketching with Geometry-Aligned Deep Implicit Functions Abstract: Sketch-based shape modeling aims to bridge the gap between 2D drawing and 3D modeling by providing an intuitive and accessible approach to create 3D shapes from 2D sketches. However, existing methods st...	[ 680, 26698, 34167 ]	Train
31,283	24	Title: Randomly Initialized Subnetworks with Iterative Weight Recycling Abstract: The Multi-Prize Lottery Ticket Hypothesis posits that randomly initialized neural networks contain several subnetworks that achieve comparable accuracy to fully trained models of the same architecture. However, current methods require tha...	[ 18698 ]	Train
31,284	10	Title: A Simple Generative Model of Logical Reasoning and Statistical Learning Abstract: Statistical learning and logical reasoning are two major fields of AI expected to be unified for human-like machine intelligence. Most existing work considers how to combine existing logical and statistical systems. However, there ...	[]	Train
31,285	3	Title: The Impact of De-Identification on Single-Year-of-Age Counts in the U.S. Census Abstract: In 2020, the U.S. Census Bureau transitioned from data swapping to differential privacy (DP) in its approach to de-identifying decennial census data. This decision has faced considerable criticism from data users, particula...	[ 34150 ]	Train
31,286	24	Title: Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models Abstract: Wind farm modelling has been an area of rapidly increasing interest with numerous analytical as well as computational-based approaches developed to extend the margins of wind farm efficiency and max...	[]	Train
31,287	24	Title: Exploring Category Structure with Contextual Language Models and Lexical Semantic Networks Abstract: The psychological plausibility of word embeddings has been studied through different tasks such as word similarity, semantic priming, and lexical entailment. Recent work on predicting category structure with word...	[]	Train
31,288	10	Title: Exploiting Contextual Structure to Generate Useful Auxiliary Tasks Abstract: Reinforcement learning requires interaction with an environment, which is expensive for robots. This constraint necessitates approaches that work with limited environmental interaction by maximizing the reuse of previous experiences. We...	[]	Validation
31,289	24	Title: AutoRL Hyperparameter Landscapes Abstract: Although Reinforcement Learning (RL) has shown to be capable of producing impressive results, its use is limited by the impact of its hyperparameters on performance. This often makes it difficult to achieve good results in practice. Automated RL (AutoRL) addresses this ...	[ 28898, 3804 ]	Test
31,290	24	Title: Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers Abstract: The sustained growth of carbon emissions and global waste elicits significant sustainability concerns for our environment's future. The growing Internet of Things (IoT) has the potential to exacerbate thi...	[ 24304 ]	Test
31,291	30	Title: FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation Abstract: Evaluating the factuality of long-form text generated by large language models (LMs) is non-trivial because (1) generations often contain a mixture of supported and unsupported pieces of information, making bina...	[ 13700, 34953, 22286, 25102, 14609, 22422, 43930, 39451, 44063, 37411, 26549, 12602, 29375, 33220, 15301, 38102, 21593, 230, 37360, 4466, 24316 ]	Train
31,292	16	Title: Evaluation of Environmental Conditions on Object Detection using Oriented Bounding Boxes for AR Applications Abstract: The objective of augmented reality (AR) is to add digital content to natural images and videos to create an interactive experience between the user and the environment. Scene analysis and object...	[]	Train
31,293	10	Title: Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach Abstract: The increasing connectivity and intricate remote access environment have made traditional perimeter-based network defense vulnerable. Zero trust becomes a promising approach to provide defense policies base...	[ 20057, 18853 ]	Test
31,294	16	Title: Aerial Image Object Detection With Vision Transformer Detector (ViTDet) Abstract: The past few years have seen an increased interest in aerial image object detection due to its critical value to large-scale geo-scientific research like environmental studies, urban planning, and intelligence monitoring. However, ...	[ 29873, 35237 ]	Train
31,295	26	Title: Online Influence Maximization under Decreasing Cascade Model Abstract: We study online influence maximization (OIM) under a new model of decreasing cascade (DC). This model is a generalization of the independent cascade (IC) model by considering the common phenomenon of market saturation. In DC, the chance of an...	[]	Test
31,296	24	Title: Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks Abstract: We consider the problem of minimizing a non-convex objective while preserving the privacy of the examples in the training data. Building upon the previous variance-reduced algorithm SpiderBoost, we i...	[ 10947, 19734 ]	Train
31,297	3	Title: Machine Unlearning: Its Nature, Scope, and Importance for a “Delete Culture” Abstract: nan	[]	Train
31,298	5	Title: Permissionless Consensus Abstract: Blockchain protocols typically aspire to run in the permissionless setting, in which nodes are owned and operated by a large number of diverse and unknown entities, with each node free to start or stop running the protocol at any time. This setting is more challenging than the ...	[]	Train
31,299	30	Title: UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization Abstract: Social media platforms are essential outlets for expressing opinions, providing a valuable resource for capturing public viewpoints via text analytics. However, for many users, passive browsing is their preferred...	[ 33220, 31020, 1758 ]	Test
31,300	30	Title: A Measure of Explanatory Effectiveness Abstract: In most conversations about explanation and AI, the recipient of the explanation (the explainee) is suspiciously absent, despite the problem being ultimately communicative in nature. We pose the problem `explaining AI systems' in terms of a two-player cooperative ...	[]	Test
31,301	24	Title: Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach Abstract: Fixing energy leakage caused by different anomalies can result in significant energy savings and extended appliance life. Further, it assists grid operators in scheduling their resources to meet the actual needs of end users, while ...	[]	Train
31,302	16	Title: A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification Abstract: Classification of very high-resolution (VHR) aerial remote sensing (RS) images is a well-established research area in the remote sensing community as it provides valuable spatial information for decisi...	[ 8000 ]	Train
31,303	10	Title: Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations Abstract: The use of synthetic data is recognized as a crucial step in the development of neural network-based Artificial ...	[]	Train
31,304	34	Title: New Subset Selection Algorithms for Low Rank Approximation: Offline and Online Abstract: Subset selection for the rank k approximation of an n× d matrix A offers improvements in the interpretability of matrices, as well as a variety of computational savings. This problem is well-understood when the error measure...	[ 11158 ]	Validation
31,305	24	Title: Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents Abstract: Autonomous cyber agents may be developed by applying reinforcement and deep reinforcement learning (RL/DRL), where agents are trained in a representative environment. The training environment must simulate with high-fidelity ...	[ 36550 ]	Validation
31,306	30	Title: Prompt Guided Copy Mechanism for Conversational Question Answering Abstract: Conversational Question Answering (CQA) is a challenging task that aims to generate natural answers for conversational flow questions. In this paper, we propose a pluggable approach for extractive methods that introduces a novel prompt-...	[]	Train
31,307	16	Title: LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction Abstract: As demands for high-quality videos continue to rise, high-resolution and high-dynamic range (HDR) imaging techniques are drawing attention. To generate an HDR video from low dynamic range (LDR) images, one of the cri...	[]	Train
31,308	27	Title: BridgeData V2: A Dataset for Robot Learning at Scale Abstract: We introduce BridgeData V2, a large and diverse dataset of robotic manipulation behaviors designed to facilitate research on scalable robot learning. BridgeData V2 contains 60,096 trajectories collected across 24 environments on a publicly available ...	[ 22913, 8994, 27458, 14094, 16273, 12567 ]	Train
31,309	24	Title: Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset Abstract: Air quality forecasting has garnered significant attention recently, with data-driven models taking center stage due to advancements in machine learning and deep learning models. However, researchers face cha...	[ 16964 ]	Train
31,310	16	Title: PersonalTailor: Personalizing 2D Pattern Design from 3D Garment Point Clouds Abstract: Garment pattern design aims to convert a 3D garment to the corresponding 2D panels and their sewing structure. Existing methods rely either on template fitting with heuristics and prior assumptions, or on model learning with c...	[]	Train
31,311	16	Title: InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Abstract: Recent state-of-the-art methods in imbalanced semi-supervised learning (SSL) rely on confidence-based pseudo-labeling with consistency regularization. To obtain high-quality pseudo-labels, a high confidence threshold is typ...	[]	Test
31,312	27	Title: Polymer-Based Self-Calibrated Optical Fiber Tactile Sensor Abstract: Human skin can accurately sense the self-decoupled normal and shear forces when in contact with objects of different sizes. Although there exist many soft and conformable tactile sensors on robotic applications able to decouple the normal force...	[ 14572 ]	Validation
31,313	23	Title: Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language Abstract: Generation of pseudo-code descriptions of legacy source code for software maintenance is a manually intensive task. Recent encoder-decoder language models have shown promise for automating pseudo-code generation for hi...	[]	Train
31,314	13	Title: EvoPrompting: Language Models for Code-Level Neural Architecture Search Abstract: Given the recent impressive accomplishments of language models (LMs) for code generation, we explore the use of LMs as adaptive mutation and crossover operators for an evolutionary neural architecture search (NAS) algorithm. While ...	[ 18169, 19159, 3804, 18767 ]	Validation
31,315	24	Title: Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift Abstract: Model calibration usually requires optimizing some parameters (e.g., temperature) w.r.t an objective function (e.g., negative log-likelihood). In this paper, we report a plain, important but often neglected fact that the object...	[ 32663 ]	Train
31,316	24	Title: Generalizing Fairness using Multi-Task Learning without Demographic Information Abstract: To ensure the fairness of machine learning systems, we can include a fairness loss during training based on demographic information associated with the training data. However, we cannot train debiased classifiers for most t...	[]	Train
31,317	8	Title: YOLO-based Semantic Communication with Generative AI-aided Resource Allocation for Digital Twins Construction Abstract: Digital Twins play a crucial role in bridging the physical and virtual worlds. Given the dynamic and evolving characteristics of the physical world, a huge volume of data transmission and excha...	[ 19299, 1603, 38408, 30925, 15263 ]	Test
31,318	16	Title: Convex Decomposition of Indoor Scenes Abstract: We describe a method to parse a complex, cluttered indoor scene into primitives which offer a parsimonious abstraction of scene structure. Our primitives are simple convexes. Our method uses a learned regression procedure to parse a scene into a fixed number of con...	[ 3097, 18697 ]	Test
31,319	24	Title: APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT Abstract: We study diverse skill discovery in reward-free environments, aiming to discover all possible skills in simple grid-world environments where prior methods have struggled to succeed. This problem is formulated as mutual tra...	[]	Validation
31,320	30	Title: FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge Abstract: Evaluating the factual consistency of automatically generated summaries is essential for the progress and adoption of reliable summarization systems. Despite recent advances, existing factuality evaluation...	[ 2608, 31215, 44063, 27039 ]	Train
31,321	16	Title: CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization Abstract: Data is the foundation for the development of computer vision, and the establishment of datasets plays an important role in advancing the techniques of fine-grained visual categorization~(FGVC). In th...	[ 20003 ]	Validation
31,322	8	Title: deController: A Web3 Native Cyberspace Infrastructure Perspective Abstract: Web3 brings an emerging outlook for the value of decentralization, boosting the decentralized infrastructure. People can benefit from Web3, facilitated by the advances in distributed ledger technology, to read, write and own web content,...	[ 8496, 1188 ]	Validation
31,323	16	Title: PACO: Parts and Attributes of Common Objects Abstract: Object models are gradually progressing from predicting just category labels to providing detailed descriptions of object instances. This motivates the need for large datasets which go beyond traditional object masks and provide richer annotations such as pa...	[ 13408, 29443, 42599, 34314, 37227, 28141, 17390, 4788, 24248 ]	Train
31,324	4	Title: Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure Abstract: This paper examines free content websites (FCWs) and premium content websites (PCWs) in different countries, comparing them to general websites. The focus is on the distribution of malicious websites and ...	[]	Train
31,325	25	Title: Speaker-Aware Anti-Spoofing Abstract: We address speaker-aware anti-spoofing, where prior knowledge of the target speaker is incorporated into a voice spoofing countermeasure (CM). In contrast to the frequently used speaker-independent solutions, we train the CM in a speaker-conditioned way. As a proof of concep...	[]	Train
31,326	6	Title: Data-Driven Classifications of Video Game Vocabulary Abstract: As a novel and fast-changing field, the video game industry does not have a fixed and well-defined vocabulary. In particular, game genres are of interest: No two experts seem to agree on what they are and how they relate to each other. We use the use...	[]	Train
31,327	9	Title: Simulation of Turing machines with analytic discrete ODEs: FPTIME and FPSPACE over the reals characterised with discrete ordinary differential equations Abstract: We prove that functions over the reals computable in polynomial time can be characterised using discrete ordinary differential equations (ODE), also k...	[ 13779 ]	Train
31,328	10	Title: Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer Abstract: In the pursuit of artificial general intelligence (AGI), we tackle Abstraction and Reasoning Corpus (ARC) tasks using a novel two-pronged approach. We employ the Decision Transformer in an imitation learning p...	[ 44173, 13223 ]	Train
31,329	5	Title: Characterizing the Cloud's Outbound Network Latency: An Experimental and Modeling Study Abstract: Cloud latency has critical influences on the success of cloud applications. Therefore, characterizing cloud network performance is crucial for analyzing and satisfying different latency requirements. By focusing on ...	[]	Train
31,330	3	Title: Perception, performance, and detectability of conversational artificial intelligence across 32 university courses Abstract: The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing ac...	[ 36991, 31857, 41564, 27367 ]	Train
31,331	16	Title: PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain Abstract: The production of food, feed, fiber, and fuel is a key task of agriculture. Especially crop production has to cope with a multitude of challenges in the upcoming decades caused by a growing world po...	[]	Validation
31,332	10	Title: Rating Sentiment Analysis Systems for Bias through a Causal Lens Abstract: Sentiment Analysis Systems (SASs) are data-driven Artificial Intelligence (AI) systems that, given a piece of text, assign one or more numbers conveying the polarity and emotional intensity expressed in the input. Like other automatic mac...	[ 16299 ]	Train
31,333	5	Title: Blizzard: Adding True Persistence to Main Memory Data Structures Abstract: Persistent memory (PMEM) devices present an opportunity to retain the flexibility of main memory data structures and algorithms, but augment them with reliability and persistence. The challenge in doing this is to combine replication (for...	[]	Train
31,334	6	Title: Exploring the Design Space of Employing AI-Generated Content for Augmented Reality Display Abstract: As the two most common display content of Augmented Reality (AR), the creation process of image and text often requires a human to execute. However, due to the rapid advances in Artificial Intelligence (AI), toda...	[ 17938, 33558, 28570 ]	Train
31,335	31	Title: Semantic-Guided Feature Distillation for Multimodal Recommendation Abstract: Multimodal recommendation exploits the rich multimodal information associated with users or items to enhance the representation learning for better performance. In these methods, end-to-end feature extractors (e.g., shallow/deep neural ...	[ 5744, 45616 ]	Train
31,336	16	Title: EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation Abstract: Active learning algorithms have become increasingly popular for training models with limited data. However, selecting data for annotation remains a challenging problem due to the limited information available on unseen data....	[ 38342 ]	Train
31,337	5	Title: Exploring the Use of WebAssembly in HPC Abstract: Containerization approaches based on namespaces offered by the Linux kernel have seen an increasing popularity in the HPC community both as a means to isolate applications and as a format to package and distribute them. However, their adoption and usage in HPC sy...	[]	Test
31,338	30	Title: Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding Abstract: Attention-based encoder-decoder (AED) models have shown impressive performance in ASR. However, most existing AED methods neglect to simultaneously leverage both acoustic and semantic features in ...	[]	Train
31,339	4	Title: Concentrated Geo-Privacy Abstract: This paper proposes concentrated geo-privacy (CGP), a privacy notion that can be considered as the counterpart of concentrated differential privacy (CDP) for geometric data. Compared with the previous notion of geo-privacy [ABCP13, CABP13], which is the counterpart of standard ...	[]	Train
31,340	4	Title: ISC-FLAT: On the Conflict Between Control Flow Attestation and Real-Time Operations Abstract: The wide adoption of IoT gadgets and CyberPhysical Systems (CPS) makes embedded devices increasingly important. While some of these devices perform mission-critical tasks, they are usually implemented using Micro-Contro...	[]	Train
31,341	5	Title: CPU-GPU Heterogeneous Code Acceleration of a Finite Volume Computational Fluid Dynamics Solver Abstract: This work deals with the CPU-GPU heterogeneous code acceleration of a finite-volume CFD solver utilizing multiple CPUs and GPUs at the same time. First, a high-level description of the CFD solver called SENSE...	[ 42445 ]	Train
31,342	30	Title: Unit-based Speech-to-Speech Translation Without Parallel Data Abstract: We propose an unsupervised speech-to-speech translation (S2ST) system that does not rely on parallel data between the source and target languages. Our approach maps source and target language speech signals into automatically discovered, dis...	[ 21778, 29915 ]	Train
31,343	24	Title: Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification Abstract: Learning unbiased node representations for imbalanced samples in the graph has become a more remarkable and important topic. For the graph, a significant challenge is that the topological properties of the no...	[ 36085 ]	Test
31,344	27	Title: Reconsidering Fascicles in Soft Pneumatic Actuator Packs Abstract: This paper discusses and contests the claims of ``Soft Pneumatic Actuator Fascicles for High Force and Reliability'' a research article which was originally published in the March 2017 issue of the Journal Soft Robotics. The original paper claims...	[]	Test
31,345	16	Title: Instance Neural Radiance Field Abstract: This paper presents one of the first learning-based NeRF 3D instance segmentation pipelines, dubbed as Instance Neural Radiance Field, or Instance NeRF. Taking a NeRF pretrained from multi-view RGB images as input, Instance NeRF can learn 3D instance segmentation of a giv...	[ 44707, 36308 ]	Train
31,346	16	Title: Fast Segment Anything Abstract: The recently proposed segment anything model (SAM) has made a significant influence in many computer vision tasks. It is becoming a foundation step for many high-level tasks, like image segmentation, image caption, and image editing. However, its huge computation costs prevent it ...	[ 10561, 3782, 4007, 15270, 40655, 8084, 30039, 18391, 40728, 31225, 5374 ]	Train
31,347	24	Title: On the Role of Attention in Prompt-tuning Abstract: Prompt-tuning is an emerging strategy to adapt large language models (LLM) to downstream tasks by learning a (soft-)prompt parameter from data. Despite its success in LLMs, there is limited theoretical understanding of the power of prompt-tuning and the role of...	[ 35488, 2697, 45053 ]	Train
31,348	38	Title: Relational hyperevent models for the coevolution of coauthoring and citation networks Abstract: Interest in the network analysis of bibliographic data has increased significantly in recent years. Yet, appropriate statistical models for examining the full dynamics of scientific citation networks, connecting autho...	[]	Train
31,349	16	Title: Multiclass Alignment of Confidence and Certainty for Network Calibration Abstract: Deep neural networks (DNNs) have made great strides in pushing the state-of-the-art in several challenging domains. Recent studies reveal that they are prone to making overconfident predictions. This greatly reduces the overall tr...	[]	Train
31,350	4	Title: Preventing EFail Attacks with Client-Side WebAssembly: The Case of Swiss Post's IncaMail Abstract: Traditional email encryption schemes are vulnerable to EFail attacks, which exploit the lack of message authentication by manipulating ciphertexts and exfiltrating plaintext via HTML backchannels. Swiss Post's Inca...	[]	Test
31,351	16	Title: A Bag-of-Prototypes Representation for Dataset-Level Applications Abstract: This work investigates dataset vectorization for two dataset-level tasks: assessing training set suitability and test set difficulty. The former measures how suitable a training set is for a target domain, while the latter studies how ch...	[]	Train
31,352	16	Title: Are Diffusion Models Vision-And-Language Reasoners? Abstract: Text-conditioned image generation models have recently shown immense qualitative success using denoising diffusion processes. However, unlike discriminative vision-and-language models, it is a non-trivial task to subject these diffusion-based generati...	[ 3015, 8234, 8308, 28532, 14390, 45080, 16284 ]	Train
31,353	24	Title: Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets Abstract: There have been recent efforts to move to population-based structural health monitoring (PBSHM) systems. One area of PBSHM which has been recognised for potential development is the use of multi-task lear...	[]	Validation
31,354	24	Title: A Robust Hypothesis Test for Tree Ensemble Pruning Abstract: Gradient boosted decision trees are some of the most popular algorithms in applied machine learning. They are a ﬂexible and powerful tool that can robustly ﬁt to any tabular dataset in a scalable and computationally efﬁcient way. One of the most critic...	[]	Train
31,355	30	Title: Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset Abstract: The quest for human imitative AI has been an enduring topic in AI research since its inception. The technical evolution and emerging capabilities of the lates...	[ 40192, 40610, 43906, 13700, 16837, 13510, 33220, 7628, 972, 45299, 6934 ]	Validation
31,356	16	Title: Identity Encoder for Personalized Diffusion Abstract: Many applications can benefit from personalized image generation models, including image enhancement, video conferences, just to name a few. Existing works achieved personalization by fine-tuning one model for each person. While being successful, this approac...	[]	Train
31,357	24	Title: Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error Abstract: This paper studies Byzantine-robust stochastic optimization over a decentralized network, where every agent periodically communicates with its neighbors to exchange local models, and then up...	[]	Train
31,358	24	Title: Kriging Convolutional Networks Abstract: Spatial interpolation is a class of estimation problems where locations with known values are used to estimate values at other locations, with an emphasis on harnessing spatial locality and trends. Traditional kriging methods have strong Gaussian assumptions, and as a res...	[ 8146, 25374 ]	Train
31,359	30	Title: BIM-GPT: a Prompt-Based Virtual Assistant Framework for BIM Information Retrieval Abstract: Efficient information retrieval (IR) from building information models (BIMs) poses significant challenges due to the necessity for deep BIM knowledge or extensive engineering efforts for automation. We introduce BIM-GPT, ...	[ 31189, 34563, 12013, 12087 ]	Train
31,360	10	Title: Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula Abstract: Autocurricular training is an important sub-area of multi-agent reinforcement learning (MARL) that allows multiple agents to learn emergent skills in an unsupervised co-evolving scheme. The robotics community has experim...	[]	Train
31,361	28	Title: Quantized Phase-Shift Design Of Active IRS For Integrated Sensing And Communications Abstract: Integrated sensing and communications (ISAC) is a spectrum-sharing paradigm that allows different users to jointly utilize and access the crowded electromagnetic spectrum. In this context, intelligent reflecting surfac...	[]	Validation
31,362	30	Title: DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text Abstract: Large language models (LLMs) have notably enhanced the fluency and diversity of machine-generated text. However, this progress also presents a significant challenge in detecting the origin of a given text, and current ...	[ 9508, 6629, 13700, 35415, 44603, 22476, 5965, 21613, 497, 38235, 5174, 25367, 32185, 315, 24412 ]	Test
31,363	16	Title: Multi-Semantic Interactive Learning for Object Detection Abstract: Single-branch object detection methods use shared features for localization and classification, yet the shared features are not fit for the two different tasks simultaneously. Multi-branch object detection methods usually use different features f...	[]	Train
31,364	16	Title: Interpreting CNN Predictions using Conditional Generative Adversarial Networks Abstract: We propose a novel method that trains a conditional Generative Adversarial Network (GAN) to generate visual interpretations of a Convolutional Neural Network (CNN). To comprehend a CNN, the GAN is trained with information on...	[]	Train
31,365	27	Title: Geometric Gait Optimization for Inertia-Dominated Systems With Nonzero Net Momentum Abstract: Inertia-dominated mechanical systems can achieve net displacement by 1) periodically changing their shape (known as kinematic gait) and 2) adjusting their inertia distribution to utilize the existing nonzero net momentu...	[]	Validation
31,366	16	Title: SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces Abstract: Speech-driven 3D face animation technique, extending its applications to various multimedia fields. Previous research has generated promising realistic lip movements and facial expressions from audio signals. Howeve...	[ 25698, 1540, 25287, 26554, 5597 ]	Validation
31,367	28	Title: Multi-Scenario Broadband Channel Measurement and Modeling for Sub-6 GHz RIS-Assisted Wireless Communication Systems Abstract: Reconfigurable intelligent surface (RIS)-empowered communication, has been considered widely as one of the revolutionary technologies for next generation networks. However, due to the nov...	[ 40841 ]	Train
31,368	28	Title: Path-integral approach to mutual information calculation for nonlinear communication channel with small second dispersion at large signal-to-noise power ratio Abstract: We consider the information fiber optical channel modeled by the nonlinear Schrodinger equation with additive Gaussian noise. Using path-integra...	[]	Train
31,369	16	Title: Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers Abstract: Fine-grained classification is a challenging task that involves identifying subtle differences between objects within the same category. This task is particularly challenging in scenarios where data...	[]	Test
31,370	16	Title: Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network Abstract: Although 3D point cloud classification neural network models have been widely used, the in-depth interpretation of the activation of the neurons and layers is still a challenge. We propose a novel a...	[]	Train
31,371	8	Title: Optimization of Speed and Network Deployment for Reliable V2I Communication in the Presence of Handoffs and Interference Abstract: Vehicle-to-infrastructure (V2I) communication is becoming indispensable for successful roll-out of connected and autonomous vehicles (CAVs). While increasing the CAVs’ speed improves...	[ 26932 ]	Train
31,372	31	Title: Class Cardinality Comparison as a Fermi Problem Abstract: Questions on class cardinality comparisons are quite tricky to answer and come with its own challenges. They require some kind of reasoning since web documents and knowledge bases, indispensable sources of information, rarely store direct answers to quest...	[]	Train
31,373	33	Title: Asymptotic Complexity Estimates for Probabilistic Programs and their VASS Abstractions Abstract: The standard approach to analyzing the asymptotic complexity of probabilistic programs is based on studying the asymptotic growth of certain expected values (such as the expected termination time) for increasing inpu...	[]	Train
31,374	16	Title: Learning to Agree on Vision Attention for Visual Commonsense Reasoning Abstract: Visual Commonsense Reasoning (VCR) remains a significant yet challenging research problem in the realm of visual reasoning. A VCR model generally aims at answering a textual question regarding an image, followed by the rationale pre...	[]	Train
31,375	30	Title: Natural Language is All a Graph Needs Abstract: The emergence of large-scale pre-trained language models, such as ChatGPT, has revolutionized various research fields in artificial intelligence. Transformers-based large language models (LLMs) have gradually replaced CNNs and RNNs to unify fields of computer visio...	[ 13700, 1292, 17299, 12445, 24356, 18085, 44836, 42794, 11323, 43585, 18117, 13510, 43718, 42186, 10069, 25558, 11612, 9841, 28407, 23805 ]	Validation
31,376	16	Title: Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning Abstract: Visual-based defect detection is a crucial but challenging task in industrial quality control. Most mainstream methods rely on large amounts of existing or related domain data as auxiliary informatio...	[]	Train
31,377	10	Title: A Knowledge-Oriented Approach to Enhance Integration and Communicability in the Polkadot Ecosystem Abstract: The Polkadot ecosystem is a disruptive and highly complex multi-chain architecture that poses challenges in terms of data analysis and communicability. Currently, there is a lack of standardized and holis...	[]	Train

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