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
40,878	4	Title: It's more than just money: The real-world harms from ransomware attacks Abstract: As cyber-attacks continue to increase in frequency and sophistication, organisations must be better prepared to face the reality of an incident. Any organisational plan that intends to be successful at managing security risks must ...	[]	Validation
40,879	34	Title: Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms Abstract: Diversity maximization aims to select a diverse and representative subset of items from a large dataset. It is a fundamental optimization task that finds applications in data summarization, feature selection, web sear...	[]	Train
40,880	27	Title: Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations Abstract: Aging societies, labor shortages and increasing wage costs call for assistance robots capable of autonomously performing a wide array of real-world tasks. Such open-ended robotic manipulation requires not only powerful knowledge repr...	[]	Test
40,881	30	Title: An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models Abstract: Knowledge distillation (KD) is a well-known method for compressing neural models. However, works focusing on distilling knowledge from large multilingual neural machine translation (MN...	[]	Train
40,882	30	Title: Explainability for Large Language Models: A Survey Abstract: Large language models (LLMs) have demonstrated impressive capabilities in natural language processing. However, their internal mechanisms are still unclear and this lack of transparency poses unwanted risks for downstream applications. Therefore, under...	[ 13700, 18564, 12424, 6797, 38801, 17045, 45495, 6328, 25786, 20794, 37947, 35388, 39873, 38341, 13510, 3795, 20969, 22252, 39280, 41328, 25973, 14583, 43641, 15485 ]	Train
40,883	16	Title: Tag2Text: Guiding Vision-Language Model via Image Tagging Abstract: This paper presents Tag2Text, a vision language pre-training (VLP) framework, which introduces image tagging into vision-language models to guide the learning of visual-linguistic features. In contrast to prior works which utilize object tags ei...	[ 10624, 37765, 14086, 12171, 16878, 8919, 7384, 36828 ]	Validation
40,884	16	Title: Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text Abstract: In-context vision and language models like Flamingo support arbitrarily interleaved sequences of images and text as input. This format not only enables few-shot learning via interleaving independent supervised (image, text) ex...	[ 10978, 30243, 36611, 35930, 14086, 11815, 13130, 37979, 38858, 1581, 12399, 6770, 8210, 8084, 15413, 5720, 6842, 2811 ]	Train
40,885	26	Title: A stochastic block model for community detection in attributed networks Abstract: Community detection is an important content in complex network analysis. The existing community detection methods in attributed networks mostly focus on only using network structure, while the methods of integrating node attributes...	[]	Train
40,886	23	Title: EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery Abstract: Issue-commit links, as a type of software traceability links, play a vital role in various software development and maintenance tasks. However, they are typically deficient, as developers often forget or fail to crea...	[ 34132 ]	Validation
40,887	39	Title: The Total Matching Polytope of Complete Bipartite Graphs Abstract: The total matching polytope generalizes the stable set polytope and the matching polytope. In this paper, we first propose new facet-defining inequalities for the total matching polytope. We then give an exponential-sized, non-redundant descripti...	[]	Train
40,888	16	Title: Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views Abstract: Reconstructing 3D objects from extremely sparse views is a long-standing and challenging problem. While recent techniques employ image diffusion models for generating plausible images at novel viewpoints or ...	[ 44288, 26625, 30566, 37692, 29000, 34074, 6351, 16562, 6488, 32601, 14842, 29531, 2908 ]	Train
40,889	27	Title: Serving Time: Real-Time, Safe Motion Planning and Control for Manipulation of Unsecured Objects Abstract: A key challenge to ensuring the rapid transition of robotic systems from the industrial sector to more ubiquitous applications is the development of algorithms that can guarantee safe operation while in clos...	[ 3589 ]	Test
40,890	24	Title: Is Rewiring Actually Helpful in Graph Neural Networks? Abstract: Graph neural networks compute node representations by performing multiple message-passing steps that consist in local aggregations of node features. Having deep models that can leverage longer-range interactions between nodes is hindered by the iss...	[ 42306, 46035, 42942, 28263 ]	Test
40,891	30	Title: Machine Learning Approach for Cancer Entities Association and Classification Abstract: According to the World Health Organization (WHO), cancer is the second leading cause of death globally. Scientific research on different types of cancers grows at an ever-increasing rate, publishing large volumes of research a...	[]	Train
40,892	10	Title: Establishing Markov equivalence in cyclic directed graphs Abstract: We present a new, efficient procedure to establish Markov equivalence between directed graphs that may or may not contain cycles under the \textit{d}-separation criterion. It is based on the Cyclic Equivalence Theorem (CET) in the seminal works ...	[]	Train
40,893	24	Title: Prediction-Oriented Bayesian Active Learning Abstract: Information-theoretic approaches to active learning have traditionally focused on maximising the information gathered about the model parameters, most commonly by optimising the BALD score. We highlight that this can be suboptimal from the perspective of pre...	[ 14458 ]	Validation
40,894	16	Title: AnyStar: Domain randomized universal star-convex 3D instance segmentation Abstract: Star-convex shapes arise across bio-microscopy and radiology in the form of nuclei, nodules, metastases, and other units. Existing instance segmentation networks for such structures train on densely labeled instances for each dat...	[ 20386, 2719 ]	Train
40,895	30	Title: Classification of Cross-cultural News Events Abstract: We present a methodology to support the analysis of culture from text such as news events and demonstrate its usefulness on categorising news events from different categories (society, business, health, recreation, science, shopping, sports, arts, computers,...	[]	Validation
40,896	24	Title: Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis Abstract: Federated Learning (FL) is a distributed machine learning technique that allows model training among multiple devices or organizations without sharing data. However, while FL ensures that the raw data is no...	[]	Train
40,897	16	Title: Robust Roadside Perception for Autonomous Driving: an Annotation-free Strategy with Synthesized Data Abstract: Recently, with the rapid development in vehicle-to-infrastructure communication technologies, the infrastructure-based, roadside perception system for cooperative driving has become a rising field. This...	[]	Train
40,898	31	Title: Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks Abstract: Statutory article retrieval (SAR), the task of retrieving statute law articles relevant to a legal question, is a promising application of legal text processing. In particular, high-quality SAR systems can improve the work...	[]	Train
40,899	27	Title: Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding Abstract: Robotic grasping is a fundamental ability for a robot to interact with the environment. Current methods focus on how to obtain a stable and reliable grasping pose in object wise, while little work has been studied on part (s...	[]	Test
40,900	25	Title: Mandarin Electrolaryngeal Speech Voice Conversion using Cross-domain Features Abstract: Patients who have had their entire larynx removed, including the vocal folds, owing to throat cancer may experience difficulties in speaking. In such cases, electrolarynx devices are often prescribed to produce speech, which ...	[]	Train
40,901	30	Title: Universal Information Extraction as Unified Semantic Matching Abstract: The challenge of information extraction (IE) lies in the diversity of label schemas and the heterogeneity of structures. Traditional methods require task-specific model design and rely heavily on expensive supervision, making them difficult ...	[ 13185, 1811, 30221, 34423 ]	Train
40,902	34	Title: Treebar Maps: Schematic Representation of Networks at Scale Abstract: Many data sets, crucial for today's applications, consist essentially of enormous networks, containing millions or even billions of elements. Having the possibility of visualizing such networks is of paramount importance. We propose an algorit...	[]	Train
40,903	3	Title: ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs Abstract: This paper explores the concept of leveraging generative AI as a mapping assistant for enhancing the efficiency of collaborative mapping. We present results of an experimen...	[ 10624, 35580, 29109 ]	Train
40,904	16	Title: Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation Abstract: Learning to compose visual relationships from raw images in the form of scene graphs is a highly challenging task due to contextual dependencies, but it is essential in computer vision applications that depen...	[]	Train
40,905	25	Title: Nonparallel Emotional Voice Conversion For Unseen Speaker-Emotion Pairs Using Dual Domain Adversarial Network & Virtual Domain Pairing Abstract: Primary goal of an emotional voice conversion (EVC) system is to convert the emotion of a given speech signal from one style to another style without modifying the ling...	[ 30992, 39977 ]	Train
40,906	16	Title: NAISR: A 3D Neural Additive Model for Interpretable Shape Representation Abstract: Deep implicit functions (DIFs) have emerged as a powerful paradigm for many computer vision tasks such as 3D shape reconstruction, generation, registration, completion, editing, and understanding. However, given a set of 3D shapes...	[]	Train
40,907	23	Title: “STILL AROUND”: Experiences and Survival Strategies of Veteran Women Software Developers Abstract: The intersection of ageism and sexism can create a hostile environment for veteran software developers belonging to marginalized genders. In this study, we conducted 14 interviews to examine the experiences of peop...	[ 34811 ]	Train
40,908	16	Title: Advances and Challenges in Multimodal Remote Sensing Image Registration Abstract: Over the past few decades, with the rapid development of global aerospace and aerial remote sensing technology, the types of sensors have evolved from the traditional monomodal sensors (e.g., optical sensors) to the new generation ...	[]	Test
40,909	16	Title: Functional Knowledge Transfer with Self-supervised Representation Learning Abstract: This work investigates the unexplored usability of self-supervised representation learning in the direction of functional knowledge transfer. In this work, functional knowledge transfer is achieved by joint optimization of self-...	[]	Train
40,910	10	Title: Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Generation from Natural Language Conversations Abstract: Data visualization (DV) has become the prevailing tool in the market due to its effectiveness into illustrating insights in vast amounts of data. To lower the barrier of usin...	[]	Validation
40,911	35	Title: Virtio-FPGA: a virtualization solution for SoC-attached FPGAs Abstract: Recently, FPGA accelerators have risen in popularity as they present a suitable way of satisfying the high-computation and low-power demands of real time applications. The modern electric transportation systems (such as aircraft, road vehicl...	[]	Train
40,912	24	Title: Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching Abstract: Offline imitation learning (IL) promises the ability to learn performant policies from pre-collected demonstrations without interactions with the environment. However, imitating behaviors fully offline typically...	[ 20882, 44715 ]	Test
40,913	24	Title: Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees Abstract: The completeness axiom renders the explanation of a post-hoc XAI method only locally faithful to the model, i.e. for a single decision. For the trustworthy application of XAI, in particular for high-stake decis...	[ 34449, 1462 ]	Train
40,914	11	Title: Distributed Consensus in Wireless Networks With Probabilistic Broadcast Scheduling Abstract: We consider distributed average consensus in a wireless network with partial communication to reduce the number of transmissions in every iteration/round. Considering the broadcast nature of wireless channels, we propose...	[ 40188 ]	Train
40,915	6	Title: RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions Abstract: Generative AI models have shown impressive ability to produce images with text prompts, which could benefit creativity in visual art creation and self-expression. However, it is unclear how precisely the generate...	[ 13953, 42915, 45476, 2742, 33848, 42169, 41083 ]	Train
40,916	27	Title: TacMMs: Tactile Mobile Manipulators for Warehouse Automation Abstract: Multi-robot platforms are playing an increasingly important role in warehouse automation for efficient goods transport. This paper proposes a novel customization of a multi-robot system, called Tactile Mobile Manipulators (TacMMs). Each TacMM...	[]	Validation
40,917	6	Title: Advanced spike sorting approaches in implantable VLSI wireless brain computer interfaces: a survey Abstract: Brain Computer/Machine Interfaces (BCI/BMIs) have substantial potential for enhancing the lives of disabled individuals by restoring functionalities of missing body parts or allowing paralyzed individuals...	[ 33156 ]	Train
40,918	16	Title: ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals Abstract: We propose an exhaustive methodology that leverages all levels of feature abstraction, targeting an enhancement in the generalizability of image classifica...	[]	Validation
40,919	16	Title: GRIG: Few-Shot Generative Residual Image Inpainting Abstract: Image inpainting is the task of filling in missing or masked region of an image with semantically meaningful contents. Recent methods have shown significant improvement in dealing with large-scale missing regions. However, these methods usually requir...	[]	Train
40,920	30	Title: A Holistic Cascade System, benchmark, and Human Evaluation Protocol for Expressive Speech-to-Speech Translation Abstract: Expressive speech-to-speech translation (S2ST) aims to transfer prosodic attributes of source speech to target speech while maintaining translation accuracy. Existing research in expressive S...	[ 21804 ]	Validation
40,921	16	Title: Progressive Spatio-temporal Perception for Audio-Visual Question Answering Abstract: Audio-Visual Question Answering (AVQA) task aims to answer questions about different visual objects, sounds, and their associations in videos. Such naturally multi-modal videos are composed of rich and complex dynamic audio-visu...	[ 28641, 22114, 35653, 38612, 3609 ]	Test
40,922	10	Title: Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments Abstract: The design of autonomous agents that can interact effectively with other agents without prior coordination is a core problem in multi-agent systems. Type-based reasoning methods achie...	[ 25669 ]	Validation
40,923	26	Title: An Error-Correction Model for Information Transmissions of Social Networks Abstract: We study the error-correction problem of the communication between two vertices in a social network. By applying the concepts of coding theory into the Social Network Analysis (SNA), we develop the code social network model, whi...	[]	Train
40,924	17	Title: Challenges of movement quality using motion capture in theatre Abstract: We describe1 two case studies of AvatarStaging theatrical mixed reality framework combining avatars and performers acting in an artistic context. We outline a qualitative approach toward the condition for stage presence for the avatars. We ...	[ 1987 ]	Validation
40,925	4	Title: Visual Content Privacy Protection: A Survey Abstract: Vision is the most important sense for people, and it is also one of the main ways of cognition. As a result, people tend to utilize visual content to capture and share their life experiences, which greatly facilitates the transfer of information. Meanwhile, ...	[]	Validation
40,926	23	Title: Experimental Evaluation of a Checklist-Based Inspection Technique to Verify the Compliance of Software Systems with the Brazilian General Data Protection Law Abstract: Recent laws to ensure the security and protection of personal data establish new software requirements. Consequently, new technologies are needed...	[]	Train
40,927	24	Title: Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Abstract: Several moving target defenses (MTDs) to counter adversarial ML attacks have been proposed in recent years. MTDs claim to increase the difficulty for the attacker in conducting attacks by regularly changing ce...	[]	Train
40,928	16	Title: Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion Abstract: Recent approaches to the tensor completion problem have often overlooked the nonnegative structure of the data. We consider the problem of learning a nonnegative low-rank tensor, and using dualit...	[ 24538, 29181 ]	Test
40,929	24	Title: Probabilistic Self-supervised Learning via Scoring Rules Minimization Abstract: In this paper, we propose a novel probabilistic self-supervised learning via Scoring Rule Minimization (ProSMIN), which leverages the power of probabilistic models to enhance representation quality and mitigate collapsing representat...	[ 33810, 4643 ]	Train
40,930	16	Title: Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors Abstract: Anomaly segmentation in high spatial resolution (HSR) remote sensing imagery is aimed at segmenting anomaly patterns of the earth deviating from normal patterns, which plays an important role in various Earth visi...	[]	Train
40,931	16	Title: A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading Abstract: nan	[]	Train
40,932	27	Title: The SLAM Hive Benchmarking Suite Abstract: Benchmarking Simultaneous Localization and Mapping (SLAM) algorithms is important to scientists and users of robotic systems alike. But through their many configuration options in hardware and software, SLAM systems feature a vast parameter space that scientists up to n...	[ 40009 ]	Train
40,933	30	Title: Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations Abstract: The enhancement of unsupervised learning of sentence representations has been significantly achieved by the utility of contrastive learning. This approach clusters the augmented positive instance with ...	[]	Train
40,934	8	Title: Context-Aware Configuration and Management of WiFi Direct Groups for Real Opportunistic Networks Abstract: Wi-Fi Direct is a promising technology for the support of device-to-device communications (D2D) on commercial mobile devices. However, the standard as-it-is is not sufficient to support the real deployment ...	[]	Train
40,935	24	Title: A Comparative Study of Machine Learning Algorithms for Anomaly Detection in Industrial Environments: Performance and Environmental Impact Abstract: In the context of Industry 4.0, the use of artificial intelligence (AI) and machine learning for anomaly detection is being hampered by high computational requiremen...	[]	Train
40,936	26	Title: Explicit time embedding based cascade attention network for information popularity prediction Abstract: nan	[ 34137, 42479 ]	Test
40,937	27	Title: AirTouch: Towards Safe Human-Robot Interaction Using Air Pressure Feedback and IR Mocap System Abstract: The growing use of robots in urban environments has raised concerns about potential safety hazards, especially in public spaces where humans and robots may interact. In this paper, we present a system for saf...	[]	Validation
40,938	27	Title: The Simplest Walking Robot: A bipedal robot with one actuator and two rigid bodies Abstract: We present the design and experimental results of the first 1-DOF, hip-actuated bipedal robot. While passive dynamic walking is simple by nature, many existing bipeds inspired by this form of walking are complex in contr...	[]	Train
40,939	24	Title: Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps Abstract: In this paper, we integrate the concepts of feature importance with implicit bias in the context of pattern classification. This is done by means of a three-step methodology that involves (i) building a classifier and tuning...	[]	Train
40,940	24	Title: Time Series Contrastive Learning with Information-Aware Augmentations Abstract: Various contrastive learning approaches have been proposed in recent years and achieve significant empirical success. While effective and prevalent, contrastive learning has been less explored for time series data. A key component of...	[]	Train
40,941	13	Title: Neuromorphic Computing with AER using Time-to-Event-Margin Propagation Abstract: Address-Event-Representation (AER) is a spike-routing protocol that allows the scaling of neuromorphic and spiking neural network (SNN) architectures to a size that is comparable to that of digital neural network architectures. Howe...	[]	Train
40,942	27	Title: Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control Abstract: Human-robot collaboration (HRC) is one key component to achieving flexible manufacturing to meet the different needs of customers. However, it is difficult to build intelligent robots that can proactively a...	[]	Train
40,943	16	Title: Exploiting Diffusion Prior for Real-World Image Super-Resolution Abstract: We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-to-image diffusion models for blind super-resolution (SR). Specifically, by employing our time-aware encoder, we can achieve promising restoration re...	[ 20960, 21828, 12841, 37098, 28460, 15983, 500, 9653, 34074, 40828 ]	Train
40,944	28	Title: Sparsity Domain Smoothing Based Thresholding Recovery Method for OFDM Sparse Channel Estimation Abstract: Due to the ever increasing data rate demand of beyond 5G networks and considering the wide range of Orthogonal Frequency Division Multipllexing (OFDM) technique in cellular systems, it is critical to reduce ...	[]	Train
40,945	30	Title: How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? Abstract: Transformer-based pretrained language models (PLMs) have achieved great success in modern NLP. An important advantage of PLMs is good out-of-distribution (OOD) robustness. Recently, diffusion models have attracted a lo...	[]	Train
40,946	25	Title: Inter-SubNet: Speech Enhancement with Subband Interaction Abstract: Subband-based approaches process subbands in parallel through the model with shared parameters to learn the commonality of local spectrums for noise reduction. In this way, they have achieved remarkable results with fewer parameters. However, in...	[]	Test
40,947	24	Title: AutoML in Heavily Constrained Applications Abstract: Optimizing a machine learning pipeline for a task at hand requires careful configuration of various hyperparameters, typically supported by an AutoML system that optimizes the hyperparameters for the given training dataset. Yet, depending on the AutoML system'...	[]	Train
40,948	24	Title: Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction Abstract: Traffic forecasting is an important issue in intelligent traffic systems (ITS). Graph neural networks (GNNs) are effective deep learning models to capture the complex spatio-temporal dependency of traffic data, achieving ideal pre...	[]	Train
40,949	26	Title: Raphtory: The temporal graph engine for Rust and Python Abstract: Raphtory is a platform for building and analysing temporal networks. The library includes methods for creating networks from a variety of data sources; algorithms to explore their structure and evolution; and an extensible GraphQL server for deplo...	[ 3343 ]	Train
40,950	8	Title: A Resource Efficient Implementation of the RESTCONF Protocol for OpenWrt Systems Abstract: In recent years, the open source operating system OpenWrt has become a popular option for replacing proprietary firmware on networking devices such as home routers or access points. In order to configure an OpenWrt system,...	[]	Train
40,951	34	Title: Testing Convex Truncation Abstract: We study the basic statistical problem of testing whether normally distributed $n$-dimensional data has been truncated, i.e. altered by only retaining points that lie in some unknown truncation set $S \subseteq \mathbb{R}^n$. As our main algorithmic results, (1) We give a comp...	[ 8541 ]	Test
40,952	39	Title: Obstruction characterization of co-TT graphs Abstract: Threshold tolerance graphs and their complement graphs ( known as co-TT graphs) were introduced by Monma, Reed and Trotter[24]. Introducing the concept of negative interval Hell et al.[19] defined signed-interval bigraphs/digraphs and have shown that they ar...	[]	Train
40,953	24	Title: High-throughput Generative Inference of Large Language Models with a Single GPU Abstract: The high computational and memory requirements of large language model (LLM) inference make it feasible only with multiple high-end accelerators. Motivated by the emerging demand for latency-insensitive tasks with batched p...	[ 30081, 12046, 528, 5649, 41244, 31648, 11809, 10660, 24625, 27186, 12851, 43452, 33351, 43468, 1234, 5461, 31976, 45291, 41071, 42993, 20223 ]	Validation
40,954	10	Title: Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects Abstract: This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style trans...	[ 10624, 33057, 40192, 4643, 33220, 13700, 24308, 1626, 35388, 22334 ]	Validation
40,955	30	Title: Token-Level Serialized Output Training for Joint Streaming ASR and ST Leveraging Textual Alignments Abstract: In real-world applications, users often require both translations and transcriptions of speech to enhance their comprehension, particularly in streaming scenarios where incremental generation is necessar...	[ 19357 ]	Validation
40,956	16	Title: Continuous Sign Language Recognition with Correlation Network Abstract: Human body trajectories are a salient cue to identify actions in the video. Such body trajectories are mainly conveyed by hands and face across consecutive frames in sign language. However, current methods in continuous sign language recogni...	[ 7463 ]	Train
40,957	4	Title: The Effectiveness of Security Interventions on GitHub Abstract: In 2017, GitHub was the first online open source platform to show security alerts to its users. It has since introduced further security interventions to help developers improve the security of their open source software. In this study, we investiga...	[]	Train
40,958	34	Title: Hypergraph Isomorphism Computation Abstract: The isomorphism problem is a fundamental problem in network analysis, which involves capturing both low-order and high-order structural information. In terms of extracting low-order structural information, graph isomorphism algorithms analyze the structural equivalenc...	[]	Validation
40,959	4	Title: SECOMlint: A linter for Security Commit Messages Abstract: Transparent and efficient vulnerability and patch disclosure are still a challenge in the security community, essentially because of the poor-quality documentation stemming from the lack of standards. SECOM is a recently-proposed standard convention for ...	[]	Train
40,960	16	Title: Zero-guidance Segmentation Using Zero Segment Labels Abstract: CLIP has enabled new and exciting joint vision-language applications, one of which is open-vocabulary segmentation, which can locate any segment given an arbitrary text query. In our research, we ask whether it is possible to discover semantic segmen...	[ 37254 ]	Train
40,961	24	Title: When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis Abstract: Novel Class Discovery (NCD) aims at inferring novel classes in an unlabeled set by leveraging prior knowledge from a labeled set with known classes. Despite its importance, there is a lack of theo...	[ 3288 ]	Train
40,962	24	Title: HPN: Personalized Federated Hyperparameter Optimization Abstract: Numerous research studies in the field of federated learning (FL) have attempted to use personalization to address the heterogeneity among clients, one of FL's most crucial and challenging problems. However, existing works predominantly focus on t...	[ 5635 ]	Train
40,963	16	Title: WASD: A Wilder Active Speaker Detection Dataset Abstract: Current Active Speaker Detection (ASD) models achieve great results on AVA-ActiveSpeaker (AVA), using only sound and facial features. Although this approach is applicable in movie setups (AVA), it is not suited for less constrained conditions. To demonstr...	[]	Train
40,964	11	Title: Effect of Swarm Density on Collective Tracking Performance Abstract: How does the size of a swarm affect its collective action? Despite being arguably a key parameter, no systematic and satisfactory guiding principles exist to select the number of units required for a given task and environment. Even when limite...	[ 7448, 4449 ]	Train
40,965	24	Title: Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates Abstract: The privacy-sensitive nature of decentralized datasets and the robustness of eXtreme Gradient Boosting (XGBoost) on tabular data raise the needs to train XGBoost in the context of federated learning (FL). Existing works on fed...	[ 27757 ]	Train
40,966	30	Title: Susceptibility to Influence of Large Language Models Abstract: Two studies tested the hypothesis that a Large Language Model (LLM) can be used to model psychological change following exposure to influential input. The first study tested a generic mode of influence - the Illusory Truth Effect (ITE) - where earlie...	[ 37405, 39778, 45923, 1917, 36528, 21778, 10749 ]	Validation
40,967	27	Title: Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives Abstract: We consider the motion planning problem for stochastic nonlinear systems in uncertain environments. More precisely, in this problem the robot has stochastic no...	[]	Train
40,968	30	Title: Scaled Prompt-Tuning for Few-Shot Natural Language Generation Abstract: The increasingly Large Language Models (LLMs) demonstrate stronger language understanding and generation capabilities, while the memory demand and computation cost of fine-tuning LLMs on downstream tasks are non-negligible. Besides, fine-tun...	[]	Validation
40,969	16	Title: BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations Abstract: Methods to detect malignant lesions from screening mammograms are usually trained with fully annotated datasets, where images are labelled with the localisation and classification of cancerous lesions. However, real-world ...	[]	Train
40,970	24	Title: Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls Abstract: This paper presents a novel surrogate model for modeling subsurface fluid flow with well controls using a physics-informed convolutional recurrent neural network (PICRNN). The model uses a convolutional...	[]	Train
40,971	24	Title: PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations Abstract: nan	[]	Test
40,972	27	Title: Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations Abstract: While imitation learning provides us with an efficient toolkit to train robots, learning skills that are robust to environment variations remains a significant challenge. Current approaches address this challenge by relying ei...	[]	Train
40,973	5	Title: A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code Abstract: Various kinds of applications take advantage of GPUs through automation tools that attempt to automatically exploit the available performance of the GPU's parallel architecture. Directive-based programming models, such as OpenACC, are one...	[ 23722 ]	Train
40,974	28	Title: Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions Abstract: In this paper, we propose a source coding scheme that represents data from unknown distributions through frequency and support information. Existing encoding schemes often compress data by sacrificing computation...	[]	Train
40,975	24	Title: MrTF: model refinery for transductive federated learning Abstract: nan	[]	Train
40,976	7	Title: A comparative study on different neural network architectures to model inelasticity Abstract: The mathematical formulation of constitutive models to describe the path-dependent, i.e., inelastic, behavior of materials is a challenging task and has been a focus in mechanics research for several decades. There have...	[ 8488, 1306, 5291, 39195 ]	Train
40,977	27	Title: Sensor Fault Detection and Compensation with Performance Prescription for Robotic Manipulators Abstract: This paper focuses on sensor fault detection and compensation for robotic manipulators. The proposed method features a new adaptive observer and a new terminal sliding mode control law established on a second...	[]	Train

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.