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
35,878	16	Title: FreePoint: Unsupervised Point Cloud Instance Segmentation Abstract: Instance segmentation of point clouds is a crucial task in 3D field with numerous applications that involve localizing and segmenting objects in a scene. However, achieving satisfactory results requires a large number of manual annotations, whic...	[]	Test
35,879	3	Title: Making Differential Privacy Work for Census Data Users Abstract: The U.S. Census Bureau collects and publishes detailed demographic data about Americans which are heavily used by researchers and policymakers. The Bureau has recently adopted the framework of differential privacy in an effort to improve confidenti...	[ 34150 ]	Test
35,880	37	Title: LSketch: A Label-Enabled Graph Stream Sketch Toward Time-Sensitive Queries Abstract: Graph streams represent data interactions in real applications. The mining of graph streams plays an important role in network security, social network analysis, and traffic control, among others. However, the sheer volume and h...	[]	Train
35,881	11	Title: Focusing on Information Context for ITS using a Spatial Age of Information Model Abstract: New technologies for sensing and communication act as enablers for cooperative driving applications. Sensors are able to detect objects in the surrounding environment and information such as their current location is excha...	[]	Test
35,882	27	Title: Contact-aware Shaping and Maintenance of Deformable Linear Objects With Fixtures Abstract: Studying the manipulation of deformable linear objects has significant practical applications in industry, including car manufacturing, textile production, and electronics automation. However, deformable linear object mani...	[ 1869 ]	Test
35,883	30	Title: Identifying and Extracting Rare Disease Phenotypes with Large Language Models Abstract: Rare diseases (RDs) are collectively common and affect 300 million people worldwide. Accurate phenotyping is critical for informing diagnosis and treatment, but RD phenotypes are often embedded in unstructured text and time-c...	[ 36547, 23759 ]	Test
35,884	27	Title: SGGNet2: Speech-Scene Graph Grounding Network for Speech-guided Navigation Abstract: The spoken language serves as an accessible and efficient interface, enabling non-experts and disabled users to interact with complex assistant robots. However, accurately grounding language utterances gives a significant challe...	[ 33220 ]	Train
35,885	16	Title: A Multidimensional Analysis of Social Biases in Vision Transformers Abstract: The embedding spaces of image models have been shown to encode a range of social biases such as racism and sexism. Here, we investigate specific factors that contribute to the emergence of these biases in Vision Transformers (ViT). The...	[ 35370 ]	Train
35,886	33	Title: Coverability in 2-VASS with One Unary Counter is in NP Abstract: Coverability in Petri nets finds applications in verification of safety properties of reactive systems. We study coverability in the equivalent model: Vector Addition Systems with States (VASS). A k-VASS can be seen as k counters and a finite autom...	[ 44877, 22885 ]	Train
35,887	21	Title: Automating Crochet Patterns for Surfaces of Revolution Abstract: A surface of revolution is created by taking a curve in the $xy$-plane and rotating it about some axis. We develop a program which automatically generates crochet patterns for surfaces by revolution when they are obtained by rotating about the $x$-...	[]	Test
35,888	1	Title: Movie Box Office Prediction With Self-Supervised and Visually Grounded Pretraining Abstract: Investments in movie production are associated with a high level of risk as movie revenues have long-tailed and bimodal distributions [1]. Accurate prediction of box-office revenue may mitigate the uncertainty and encour...	[]	Train
35,889	10	Title: Purposeful and Operation-based Cognitive System for AGI Abstract: This paper proposes a new cognitive model, acting as the main component of an AGI agent. The model is introduced in its mature state, and as an extension of previous models, DENN, and especially AKREM, by including operational models (frames/class...	[]	Train
35,890	30	Title: COMBO: A Complete Benchmark for Open KG Canonicalization Abstract: Open knowledge graph (KG) consists of (subject, relation, object) triples extracted from millions of raw text. The subject and object noun phrases and the relation in open KG have severe redundancy and ambiguity and need to be canonicalized. Exis...	[ 35440 ]	Train
35,891	3	Title: Efficacy of Educational Misinformation Games Abstract: Misinformation has become a significant issue in today's society, with the proliferation of false information through various mediums such as social media and traditional news sources. The rapid spread of misinformation has made it increasingly difficult for...	[]	Train
35,892	25	Title: Learn to Sing by Listening: Building Controllable Virtual Singer by Unsupervised Learning from Voice Recordings Abstract: The virtual world is being established in which digital humans are created indistinguishable from real humans. Producing their audio-related capabilities is crucial since voice conveys extens...	[ 18030 ]	Train
35,893	26	Title: Diurnal Patterns in the Spread of COVID-19 Misinformation on Twitter within Italy Abstract: Social media manipulation poses a significant threat to cognitive autonomy and unbiased opinion formation. Prior literature explored the relationship between online activity, and emotional state, cognitive resources, sunl...	[]	Train
35,894	4	Title: A Data Middleware for Obtaining Trusted Price Data for Blockchain Abstract: As a trusted middleware connecting the blockchain and the real world, the blockchain oracle can obtain trusted real-time price information for financial applications such as payment and settlement, and asset valuation on the blockchain. ...	[]	Train
35,895	10	Title: Thought Cloning: Learning to Think while Acting by Imitating Human Thinking Abstract: Language is often considered a key aspect of human thinking, providing us with exceptional abilities to generalize, explore, plan, replan, and adapt to new situations. However, Reinforcement Learning (RL) agents are far from hu...	[ 33220, 42731, 5484, 22518, 13564 ]	Validation
35,896	34	Title: Decomposition Based Refinement for the Network Interdiction Problem Abstract: The shortest path network interdiction (SPNI) problem poses significant computational challenges due to its NP-hardness. Current solutions, primarily based on integer programming methods, are inefficient for large-scale instances. In t...	[]	Test
35,897	27	Title: Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation Abstract: To assist robots in teleoperation tasks, haptic rendering which allows human operators access a virtual touch feeling has been developed in recent years. Most previous haptic rendering methods strongly rely on data collected by tactile se...	[ 8040, 26639 ]	Train
35,898	24	Title: A Machine Learning Approach for Predicting Deterioration in Alzheimer’s Disease Abstract: This paper explores deterioration in Alzheimer’s Disease using Machine Learning. Subjects were split into two datasets based on baseline diagnosis (Cognitively Normal, Mild Cognitive Impairment), with outcome of deteriorati...	[ 44605, 11814 ]	Train
35,899	16	Title: Eigenpatches - Adversarial Patches from Principal Components Abstract: Adversarial patches are still a simple yet powerful white box attack that can be used to fool object detectors by suppressing possible detections. The patches of these so-called evasion attacks are computational expensive to produce and requi...	[ 16339, 31436, 21399 ]	Train
35,900	10	Title: Meaningful human command: Advance control directives as a method to enable moral and legal responsibility for autonomous weapons systems Abstract: 21st Century war is increasing in speed, with conventional forces combined with massed use of autonomous systems and human-machine integration. However, a significant...	[]	Train
35,901	30	Title: CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration Abstract: In recent years, large language models (LLMs) have shown remarkable capabilities at scale, particularly at generating text conditioned on a prompt. In our work, we investigate the use of LLMs to augment t...	[ 39211, 13700, 44623 ]	Test
35,902	30	Title: Leveraging Label Information for Multimodal Emotion Recognition Abstract: Multimodal emotion recognition (MER) aims to detect the emotional status of a given expression by combining the speech and text information. Intuitively, label information should be capable of helping the model locate the salient tokens/fr...	[]	Validation
35,903	16	Title: aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System Abstract: Following four successful years in the SAE AutoDrive Challenge Series I, the University of Toronto is participating in the Series II competition to develop a Level 4 autonomous passenger vehicle capable of handling various ur...	[]	Test
35,904	10	Title: LTLf Best-Effort Synthesis in Nondeterministic Planning Domains Abstract: We study best-effort strategies (aka plans) in fully observable nondeterministic domains (FOND) for goals expressed in Linear Temporal Logic on Finite Traces (LTLf). The notion of best-effort strategy has been introduced to also deal with ...	[]	Validation
35,905	24	Title: A fast topological approach for predicting anomalies in time-varying graphs Abstract: Large time-varying graphs are increasingly common in financial, social and biological settings. Feature extraction that efficiently encodes the complex structure of sparse, multi-layered, dynamic graphs presents computational a...	[]	Train
35,906	9	Title: An improved protocol for ExactlyN with more than 3 players Abstract: The ExactlyN problem in the number-on-forehead (NOF) communication setting asks $k$ players, each of whom can see every input but their own, if the $k$ input numbers add up to $N$. Introduced by Chandra, Furst and Lipton in 1983, ExactlyN is im...	[]	Train
35,907	16	Title: Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion Abstract: Diffusion models have shown superior performance in image generation and manipulation, but the inherent stochasticity presents challenges in preserving and manipulating image content and identity. While previous approaches li...	[ 6953, 29389, 16518, 16103 ]	Test
35,908	24	Title: XAI Renaissance: Redefining Interpretability in Medical Diagnostic Models Abstract: As machine learning models become increasingly prevalent in medical diagnostics, the need for interpretability and transparency becomes paramount. The XAI Renaissance signifies a significant shift in the field, aiming to redefine...	[]	Train
35,909	26	Title: BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns Abstract: An essential topic in online social network security is how to accurately detect bot accounts and relieve their harmful impacts (e.g., misinformation, rumor, and spam) on genuine users. Based on a real-world data set, we construct...	[ 25444, 5386, 24682, 33530, 7742, 15327 ]	Train
35,910	24	Title: WL meet VC Abstract: Recently, many works studied the expressive power of graph neural networks (GNNs) by linking it to the $1$-dimensional Weisfeiler--Leman algorithm ($1\text{-}\mathsf{WL}$). Here, the $1\text{-}\mathsf{WL}$ is a well-studied heuristic for the graph isomorphism problem, which iteratively color...	[ 36450, 36963, 40618, 25009, 40082, 8660, 692, 40983, 11323, 32060 ]	Train
35,911	10	Title: On Loop Formulas with Variables Abstract: Recently Ferraris, Lee and Lifschitz proposed a new definition of stable models that does not refer to grounding, which applies to the syntax of arbitrary first-order sentences. We show its relation to the idea of loop formulas with variables by Chen, Lin, Wang and Zhang...	[ 34276 ]	Train
35,912	16	Title: Unsupervised Image Denoising with Score Function Abstract: Though achieving excellent performance in some cases, current unsupervised learning methods for single image denoising usually have constraints in applications. In this paper, we propose a new approach which is more general and applicable to complicated ...	[]	Train
35,913	30	Title: Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution Abstract: Geocoding is the task of converting location mentions in text into structured data that encodes the geospatial semantics. We propose a new architecture for geocoding, GeoNorm. GeoNorm fi...	[]	Train
35,914	16	Title: Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos Abstract: Self-supervised methods have shown remarkable progress in learning high-level semantics and low-level temporal correspondence. Building on these results, we take one step further and explore the possibility of in...	[ 13077 ]	Train
35,915	30	Title: Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf Abstract: Communication games, which we refer to as incomplete information games that heavily depend on natural language communication, hold significant research value in fields such as economics, social science, and artifici...	[ 28962, 33220, 13510, 2475, 16556, 29516, 37590, 3609 ]	Train
35,916	5	Title: Exact Distributed Sampling Abstract: Fast distributed algorithms that output a feasible solution for constraint satisfaction problems, such as maximal independent sets, have been heavily studied. There has been much less research on distributed sampling problems, where one wants to sample from a distribution ove...	[]	Train
35,917	24	Title: Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? Abstract: We revisit the common practice of evaluating adaptation of Online Continual Learning (OCL) algorithms through the metric of online accuracy, which measures the accuracy of the model on the immediate next few samples. However, we...	[ 2439, 41032, 42698, 28561, 41394, 10783 ]	Test
35,918	16	Title: Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision Abstract: Deep neural networks have demonstrated promising performance on image recognition tasks. However, they may heavily rely on confounding factors, using irrelevant artifacts or bias within the dataset as the cue to improve performance....	[ 23400, 5454, 31887 ]	Test
35,919	24	Title: Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains Abstract: Rapid discovery of new diseases, such as COVID-19 can enable a timely epidemic response, preventing the large-scale spread and protecting public health. However, limited...	[]	Train
35,920	16	Title: Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch Abstract: Semi-Supervised Learning (SSL) under class distribution mismatch aims to tackle a challenging problem wherein unlabeled data contain lots of unknown categories unseen in the labeled ones. In such mismatch scenarios...	[]	Train
35,921	10	Title: A Comprehensive Augmentation Framework for Anomaly Detection Abstract: Data augmentation methods are commonly integrated into the training of anomaly detection models. Previous approaches have primarily focused on replicating real-world anomalies or enhancing diversity, without considering that the standard of a...	[ 10808 ]	Train
35,922	16	Title: Adaptive Graph Convolution Module for Salient Object Detection Abstract: Salient object detection (SOD) is a task that involves identifying and segmenting the most visually prominent object in an image. Existing solutions can accomplish this use a multi-scale feature fusion mechanism to detect the global context...	[]	Validation
35,923	30	Title: Preconditioned Visual Language Inference with Weak Supervision Abstract: Humans can infer the affordance of objects by extracting related contextual preconditions for each scenario. For example, upon seeing an image of a broken cup, we can infer that this precondition prevents the cup from being used for drinkin...	[]	Train
35,924	24	Title: RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models Abstract: Recent advancements in language models (LMs) have gained substantial attentions on their capability to generate human-like responses. Though exhibiting a promising future for various applications such as conversatio...	[ 1441, 14564, 4805, 7558, 26277, 30925, 14798 ]	Train
35,925	16	Title: Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection Abstract: In the field of unsupervised feature selection, sparse principal component analysis (SPCA) methods have attracted more and more attention recently. Compared to spectral-based methods, SPCA methods don't rely on the ...	[]	Train
35,926	6	Title: Sowing 'Seeds of Doubt': Cottage Industries of Election and Medical Misinformation in Brazil and the United States Abstract: We conducted ethnographic research with 31 misinformation creators and consumers in Brazil and the US before, during, and after a major election to understand the consumption and productio...	[ 7847 ]	Train
35,927	3	Title: AI Deception: A Survey of Examples, Risks, and Potential Solutions Abstract: This paper argues that a range of current AI systems have learned how to deceive humans. We define deception as the systematic inducement of false beliefs in the pursuit of some outcome other than the truth. We first survey empirical ex...	[ 21127, 22283, 17295, 41103, 13073, 37906, 25367, 44697, 3231, 34987, 17715, 20531, 20794, 17980, 22476, 5071, 37590, 39778, 13413, 28905, 497, 15227, 28668 ]	Validation
35,928	6	Title: Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots Abstract: Color is one of the main visual channels used for highlighting elements of interest in visualization. However, in multi-class scatterplots, color highlighting often comes at the expense of degraded color discriminability. In ...	[]	Train
35,929	34	Title: The Time Complexity of Fully Sparse Matrix Multiplication Abstract: What is the time complexity of matrix multiplication of sparse integer matrices with $m_{in}$ nonzeros in the input and $m_{out}$ nonzeros in the output? This paper provides improved upper bounds for this question for almost any choice of $m_{in...	[]	Train
35,930	31	Title: OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents Abstract: Large multimodal models trained on natural documents, which interleave images and text, outperform models trained on image-text pairs on various multimodal benchmarks. However, the datasets used to train these models have n...	[ 10624, 6721, 13665, 30243, 13700, 32450, 16284, 17449, 1581, 37070, 27282, 40884, 23898, 2172, 39613, 29375 ]	Train
35,931	24	Title: Hessian-Aware Bayesian Optimization for Decision Making Systems Abstract: Many approaches for optimizing decision making systems rely on gradient based methods requiring informative feedback from the environment. However, in the case where such feedback is sparse or uninformative, such approaches may result in p...	[]	Train
35,932	30	Title: CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval Abstract: Passage retrieval aims to retrieve relevant passages from large collections of the open-domain corpus. Contextual Masked Auto-Encoding has been proven effective in representation bottle...	[ 3497 ]	Validation
35,933	23	Title: On Preimage Approximation for Neural Networks Abstract: Neural network verification mainly focuses on local robustness properties. However, often it is important to know whether a given property holds globally for the whole input domain, and if not then for what proportion of the input the property is true. Whil...	[ 1787 ]	Train
35,934	30	Title: Can Large Language Models Change User Preference Adversarially? Abstract: Pretrained large language models (LLMs) are becoming increasingly powerful and ubiquitous in mainstream applications such as being a personal assistant, a dialogue model, etc. As these models become proficient in deducing user preferences ...	[ 11273 ]	Train
35,935	16	Title: SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification Abstract: Deep Learning methods have recently seen increased adoption in medical imaging applications. However, elevated vulnerabilities have been explored in recent Deep Learning solutions, whic...	[ 39336, 45104 ]	Train
35,936	31	Title: Ngram-LSTM Open Rate Prediction Model (NLORP) and Error_accuracy@C metric: Simple effective, and easy to implement approach to predict open rates for marketing email Abstract: Our generation has seen an exponential increase in digital tools adoption. One of the unique areas where digital tools have made an expon...	[]	Test
35,937	30	Title: Is augmentation effective to improve prediction in imbalanced text datasets? Abstract: Imbalanced datasets present a significant challenge for machine learning models, often leading to biased predictions. To address this issue, data augmentation techniques are widely used in natural language processing (NLP) to ...	[]	Train
35,938	4	Title: SXVCS: An XOR-based Visual Cryptography Scheme without Noise via Linear Algebra Abstract: Visual Cryptography Schemes (VCS) based on the"XOR"operation (XVCS) exhibit significantly smaller pixel expansion and higher contrast compared to those based on the"OR"operation. Moreover, the"XOR"operation appears to posse...	[]	Train
35,939	4	Title: Electric Vehicles Security and Privacy: Challenges, Solutions, and Future Needs Abstract: Electric Vehicles (EVs) share common technologies with classical fossil-fueled cars, but they also employ novel technologies and components (e.g., Charging System and Battery Management System) that create an unexplored att...	[]	Train
35,940	16	Title: My Art My Choice: Adversarial Protection Against Unruly AI Abstract: Generative AI is on the rise, enabling everyone to produce realistic content via publicly available interfaces. Especially for guided image generation, diffusion models are changing the creator economy by producing high quality low cost content...	[ 38465, 7458, 29245, 22886, 16103, 37126, 23563, 35725, 23184, 27059, 34009, 34074, 44027, 18205, 38846 ]	Train
35,941	24	Title: The Impact of Twitter Sentiments on Stock Market Trends Abstract: The Web is a vast virtual space where people can share their opinions, impacting all aspects of life and having implications for marketing and communication. The most up-to-date and comprehensive information can be found on social media because of...	[]	Train
35,942	24	Title: Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective Abstract: We study the problem of optimizing a recommender system for outcomes that occur over several weeks or months. We begin by drawing on reinforcement learning to formulate a comprehensive model of users' recurring rel...	[ 12154, 7259, 25747, 43564 ]	Test
35,943	16	Title: Semi-Supervised learning for Face Anti-Spoofing using Apex frame Abstract: Conventional feature extraction techniques in the face anti-spoofing domain either analyze the entire video sequence or focus on a specific segment to improve model performance. However, identifying the optimal frames that provide the mos...	[ 13128, 4578, 43234, 17254 ]	Train
35,944	31	Title: A Practical Entity Linking System for Tables in Scientific Literature Abstract: Entity linking is an important step towards constructing knowledge graphs that facilitate advanced question answering over scientific documents, including the retrieval of relevant information included in tables within these document...	[ 26813 ]	Train
35,945	6	Title: Towards enabling reliable immersive teleoperation through Digital Twin: A UAV command and control use case Abstract: This paper addresses the challenging problem of enabling reliable immersive teleoperation in scenarios where an Unmanned Aerial Vehicle (UAV) is remotely controlled by an operator via a cellular n...	[]	Train
35,946	2	Title: MDPs as Distribution Transformers: Affine Invariant Synthesis for Safety Objectives Abstract: Markov decision processes can be viewed as transformers of probability distributions. While this view is useful from a practical standpoint to reason about trajectories of distributions, basic reachability and safety pr...	[]	Train
35,947	16	Title: DisWOT: Student Architecture Search for Distillation WithOut Training Abstract: Knowledge distillation (KD) is an effective training strategy to improve the lightweight student models under the guidance of cumbersome teachers. However, the large architecture difference across the teacher-student pairs limits the...	[ 43042, 9251, 44260, 31762, 5748, 43738, 15484 ]	Test
35,948	30	Title: Cyberbullying Detection for Low-resource Languages and Dialects: Review of the State of the Art Abstract: nan	[ 39192 ]	Train
35,949	24	Title: Torsion Graph Neural Networks Abstract: Geometric deep learning (GDL) models have demonstrated a great potential for the analysis of non-Euclidian data. They are developed to incorporate the geometric and topological information of non-Euclidian data into the end-to-end deep learning architectures. Motivated by ...	[]	Train
35,950	10	Title: Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control Abstract: This paper investigates the design of few-shot exemplars for computer automation through prompting large language models (LLMs). While previous prompting approaches focus on self-correction, we find that well-structured exemplars a...	[ 7936, 27138, 37252, 3655, 14153, 16556, 16909, 3609, 37742, 41425, 1401, 634 ]	Validation
35,951	8	Title: Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study Abstract: As the next-generation paradigm for content creation, AI-Generated Content (AIGC), i.e., generating content automatically by Generative AI (GAI) based on user prompts, has gained...	[ 12096, 1603, 24522, 27435, 15852, 16370, 35062 ]	Train
35,952	24	Title: Latent Class-Conditional Noise Model Abstract: Learning with noisy labels has become imperative in the Big Data era, which saves expensive human labors on accurate annotations. Previous noise-transition-based methods have achieved theoretically-grounded performance under the Class-Conditional Noise model (CCN). ...	[]	Validation
35,953	4	Title: Side-Channel VoIP Profiling Attack against Customer Service Automated Phone System Abstract: In many VoIP systems, Voice Activity Detection (VAD) is often used on VoIP traffic to suppress packets of silence in order to reduce the bandwidth consumption of phone calls. Unfortunately, although VoIP traffic is fully...	[]	Validation
35,954	16	Title: Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering Abstract: Multi-modal keyphrase generation aims to produce a set of keyphrases that represent the core points of the input text-image pair. In this regard, dominant methods mainly focus on mu...	[ 26580, 16308, 1523, 5972 ]	Test
35,955	30	Title: The MiniPile Challenge for Data-Efficient Language Models Abstract: The ever-growing diversity of pre-training text corpora has equipped language models with generalization capabilities across various downstream tasks. However, such diverse datasets are often too large for academic budgets; hence, most research ...	[ 34688, 40192, 17382, 5960, 43530, 2347, 45275, 32350, 29375 ]	Train
35,956	6	Title: ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System Abstract: Thanks to the rapid growth in wearable technologies and recent advancement in machine learning and signal processing, monitoring complex human contexts becomes feasible, paving the way to develop human-in-the-loop IoT systems t...	[ 5951 ]	Train
35,957	10	Title: Reinforcement Learning Based Multi-modal Feature Fusion Network for Novel Class Discovery Abstract: With the development of deep learning techniques, supervised learning has achieved performances surpassing those of humans. Researchers have designed numerous corresponding models for different data modalities, ac...	[]	Train
35,958	24	Title: PreDiff: Precipitation Nowcasting with Latent Diffusion Models Abstract: Earth system forecasting has traditionally relied on complex physical models that are computationally expensive and require significant domain expertise. In the past decade, the unprecedented increase in spatiotemporal Earth observation dat...	[ 42272, 11820, 45874, 5373, 34074, 41085, 40671 ]	Train
35,959	30	Title: Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization Abstract: LLM-powered chatbots are becoming widely adopted in applications such as healthcare, personal assistants, industry hiring decisions, etc. In many of these cases, chatbots are...	[ 20993, 18758, 17462, 25143, 33497, 35580 ]	Validation
35,960	16	Title: Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes Abstract: A promise of Generative Adversarial Networks (GANs) is to provide cheap photorealistic data for training and validating AI models in autonomous driving. Despite their huge success, their performance on complex images featuring m...	[ 32146 ]	Validation
35,961	16	Title: Assessment of Anterior Cruciate Ligament Injury Risk Based on Human Key Points Detection Algorithm Abstract: This paper aims to detect the potential injury risk of the anterior cruciate ligament (ACL) by proposing an ACL potential injury risk assessment algorithm based on key points of the human body detected us...	[]	Validation
35,962	2	Title: Axioms vs. Rewrite Rules: From Completeness to Cut Elimination Abstract: nan	[ 30450 ]	Train
35,963	13	Title: Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives Abstract: Different from most other dynamic multi-objective optimization problems (DMOPs), DMOPs with a changing number of objectives usually result in expansion or contraction of the Pareto front or Pareto set manif...	[]	Train
35,964	30	Title: Multimodal Shannon Game with Images Abstract: The Shannon game has long been used as a thought experiment in linguistics and NLP, asking participants to guess the next letter in a sentence based on its preceding context. We extend the game by introducing an optional extra modality in the form of image informatio...	[]	Validation
35,965	28	Title: Learning and Communications Co-Design for Remote Inference Systems: Feature Length Selection and Transmission Scheduling Abstract: In this paper, we consider a remote inference system, where a neural network is used to infer a time-varying target (e.g., robot movement), based on features (e.g., video clips) that...	[]	Validation
35,966	16	Title: DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization Abstract: Deep Neural Networks have exhibited considerable success in various visual tasks. However, when applied to unseen test datasets, state-of-the-art models often suffer performance degradation due to domain shifts. In this paper, ...	[ 45952, 39894 ]	Train
35,967	4	Title: A data-driven analysis of UK cyber defence Abstract: Our research addresses the question: What are the conditions of the UK's cyber threat landscape? In addressing this we focus on detectable, known and therefore potentially preventable cyber threats, specifically those that are identifiable by the types of mali...	[]	Train
35,968	24	Title: MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime Abstract: The potential of realistic and useful synthetic data is significant. However, current evaluation methods for synthetic tabular data generation predominantly focus on downstream task usefulness, often neglecting the importance of statistic...	[]	Train
35,969	27	Title: The SwaNNFlight System: On-the-Fly Sim-to-Real Adaptation via Anchored Learning Abstract: —Reinforcement Learning (RL) agents trained in simulated environments and then deployed in the real world are often sensitive to the diﬀerences in dynamics presented, com- monly termed the sim-to-real gap. With the goal of ...	[]	Validation
35,970	36	Title: Temporal Network Creation Games Abstract: Most networks are not static objects, but instead they change over time. This observation has sparked rigorous research on temporal graphs within the last years. In temporal graphs, we have a fixed set of nodes and the connections between them are only available at certa...	[]	Validation
35,971	30	Title: NLP-based Decision Support System for Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank Abstract: As part of its digitization initiative, the German Central Bank (Deutsche Bundesbank) wants to examine the extent to which natural Language Processing (NLP) can be used to m...	[]	Validation
35,972	24	Title: SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds Abstract: Sequential interaction networks (SIN) have been commonly adopted in many applications such as recommendation systems, search engines and social networks to describe the mutual influence between users an...	[]	Validation
35,973	24	Title: Fast Optimal Locally Private Mean Estimation via Random Projections Abstract: We study the problem of locally private mean estimation of high-dimensional vectors in the Euclidean ball. Existing algorithms for this problem either incur sub-optimal error or have high communication and/or run-time complexity. We pr...	[ 19953, 10996 ]	Train
35,974	31	Title: HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation Abstract: In real-world streaming recommender systems, user preferences often dynamically change over time (e.g., a user may have different preferences during weekdays and weekends). Existing bandit-bas...	[ 11637 ]	Validation
35,975	16	Title: Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images Abstract: Many medical or pharmaceutical processes have strict guidelines regarding continuous hygiene monitoring. This often involves the labor-intensive task of manually counting microorganisms in Petri dishes by trained personn...	[]	Validation
35,976	30	Title: AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning Abstract: The Explainable Detection of Online Sexism task presents the problem of explainable sexism detection through fine-grained categorisation of sexist cases with three subtasks. Our team experiment...	[ 16936, 2298 ]	Train
35,977	16	Title: Learning to Evaluate the Artness of AI-generated Images Abstract: Assessing the artness of AI-generated images continues to be a challenge within the realm of image generation. Most existing metrics cannot be used to perform instance-level and reference-free artness evaluation. This paper presents ArtScore, a me...	[ 12096, 21714 ]	Train

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