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
25,978	4	Title: Do you still need a manual smart contract audit? Abstract: We investigate the feasibility of employing large language models (LLMs) for conducting the security audit of smart contracts, a traditionally time-consuming and costly process. Our research focuses on the optimization of prompt engineering for enhanced ...	[ 41245, 676, 12036, 43887 ]	Train
25,979	31	Title: Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting Abstract: Text classification is a fundamental problem in information retrieval with many real-world applications, such as predicting the topics of online articles and the categories of e-commerce product descriptions. How...	[]	Train
25,980	30	Title: LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech Abstract: Self-supervised learning (SSL) is at the origin of unprecedented improvements in many different domains including computer vision and natural language processing. Speech processing dr...	[]	Train
25,981	23	Title: Explanation Needs in App Reviews: Taxonomy and Automated Detection Abstract: Explainability, i.e. the ability of a system to explain its behavior to users, has become an important quality of software-intensive systems. Recent work has focused on methods for generating explanations for various algorithmic paradig...	[]	Train
25,982	27	Title: LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery Abstract: Recent advances in reinforcement learning (RL) have increased the promise of introducing cognitive assistance and automation to robot-assisted laparoscopic surgery (RALS). However, progress in algorithms...	[ 35208 ]	Test
25,983	16	Title: Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models Abstract: The ability to generate diverse 3D articulated head avatars is vital to a plethora of applications, including augmented reality, cinematography, and education. Recent work on text-guided 3D object generation has shown great prom...	[ 17024, 34020, 1426, 27379, 2005 ]	Test
25,984	28	Title: On the Performance of Dual RIS-assisted V2I Communication under Nakagami-m Fading Abstract: Vehicle-to-everything (V2X) connectivity in 5G-andbeyond communication networks supports the futuristic intelligent transportation system (ITS) by allowing vehicles to intelligently connect with everything. The advent of ...	[ 22136 ]	Validation
25,985	30	Title: Transfer Learning for Power Outage Detection Task with Limited Training Data Abstract: Early detection of power outages is crucial for maintaining a reliable power distribution system. This research investigates the use of transfer learning and language models in detecting outages with limited labeled data. By l...	[ 40192 ]	Validation
25,986	24	Title: Energy cost and machine learning accuracy impact of k-anonymisation and synthetic data techniques Abstract: To address increasing societal concerns regarding privacy and climate, the EU adopted the General Data Protection Regulation (GDPR) and committed to the Green Deal. Considerable research studied the energy...	[]	Validation
25,987	27	Title: Design and Validation of a Wireless Drone Docking Station Abstract: Drones are increasingly operating autonomously, and the need for extending drone power autonomy is rapidly increasing. One of the most promising solutions to extend drone power autonomy is the use of docking stations to support both landing and ...	[]	Train
25,988	26	Title: A normative approach to radicalization in social networks Abstract: In recent decades, the massification of online social connections has made information globally accessible in a matter of seconds. Unfortunately, this has been accompanied by a dramatic surge in extreme opinions, without a clear solution in sigh...	[]	Train
25,989	16	Title: CORE: Cooperative Reconstruction for Multi-Agent Perception Abstract: This paper presents CORE, a conceptually simple, effective and communication-efficient model for multi-agent cooperative perception. It addresses the task from a novel perspective of cooperative reconstruction, based on two key insights: 1) co...	[ 7416, 44574 ]	Validation
25,990	10	Title: Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model Abstract: Model inversion attacks (MIAs) are aimed at recovering private data from a target model's training set, which poses a threat to the privacy of deep learning models. MIAs primarily focus on the white-box scenario where the at...	[ 4872, 32307, 1845 ]	Train
25,991	27	Title: Feasibility Retargeting for Multi-contact Teleoperation and Physical Interaction Abstract: This short paper outlines two recent works on multi-contact teleoperation and the development of the SEIKO (Sequential Equilibrium Inverse Kinematic Optimization) framework. SEIKO adapts commands from the operator in real-...	[ 39038 ]	Train
25,992	24	Title: Convergence beyond the over-parameterized regime using Rayleigh quotients Abstract: In this paper, we present a new strategy to prove the convergence of deep learning architectures to a zero training (or even testing) loss by gradient flow. Our analysis is centered on the notion of Rayleigh quotients in order to...	[ 43804 ]	Train
25,993	33	Title: Effective Projections on Group Shifts to Decide Properties of Group Cellular Automata Abstract: Many decision problems concerning cellular automata are known to be decidable in the case of algebraic cellular automata, that is, when the state set has an algebraic structure and the automaton acts as a morphism. Th...	[]	Train
25,994	24	Title: Large Language Models of Code Fail at Completing Code with Potential Bugs Abstract: Large language models of code (Code-LLMs) have recently brought tremendous advances to code completion, a fundamental feature of programming assistance and code intelligence. However, most existing works ignore the possible prese...	[ 2353, 11190 ]	Train
25,995	16	Title: Affordance Grounding from Demonstration Video to Target Image Abstract: Humans excel at learning from expert demonstrations and solving their own problems. To equip intelligent robots and assistants, such as AR glasses, with this ability, it is essential to ground human hand interactions (i.e., affordances) from...	[ 834 ]	Validation
25,996	34	Title: Polynomial-delay generation of functional digraphs up to isomorphism Abstract: We describe a procedure for the generation of functional digraphs up to isomorphism; these are digraphs with uniform outdegree 1, also called mapping patterns, finite endofunctions, or finite discrete-time dynamical systems. This proc...	[]	Validation
25,997	16	Title: AMD-HookNet for Glacier Front Segmentation Abstract: Knowledge on changes in glacier calving front positions is important for assessing the status of glaciers. Remote sensing imagery provides the ideal database for monitoring calving front positions; however, it is not feasible to perform this task manually for ...	[ 5878 ]	Validation
25,998	16	Title: Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies Abstract: Retrofitting and thermographic survey (TS) companies in Scotland collaborate with social housing providers to tackle fuel poverty. They employ ground-level infrared...	[]	Train
25,999	5	Title: Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems Abstract: Stream processing has become a critical component in the architecture of modern applications. With the exponential growth of data generation from sources such as the Internet of Things, business intelligence, and telecommun...	[]	Train
26,000	9	Title: Complexity of Reconfiguration in Surface Chemical Reaction Networks Abstract: We analyze the computational complexity of basic reconfiguration problems for the recently introduced surface Chemical Reaction Networks (sCRNs), where ordered pairs of adjacent species nondeterministically transform into a different o...	[]	Train
26,001	24	Title: Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models Abstract: With the rapid growth of data availability and usage, quantifying the added value of each training data point has become a crucial process in the field of artificial intelligence. The Shapley values have been recogni...	[]	Train
26,002	24	Title: Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks Abstract: In tasks like node classification, image segmentation, and named-entity recognition we have a classifier that simultaneously outputs multiple predictions (a vector of labels) based on a single input, i.e. a single g...	[ 13657, 1921, 2626, 39961 ]	Train
26,003	1	Title: Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs Abstract: Generative models have seen an explosion in popularity with the release of huge generative Diffusion models like Midjourney and Stable Diffusion to the public. Because of this new ease of access, questions surrounding...	[ 7586, 2855, 34074, 45104, 19706, 45851, 21884 ]	Train
26,004	3	Title: On Hate Scaling Laws For Data-Swamps Abstract: `Scale the model, scale the data, scale the GPU-farms' is the reigning sentiment in the world of generative AI today. While model scaling has been extensively studied, data scaling and its downstream impacts remain under explored. This is especially of critical impo...	[ 17449, 45104, 43830, 16284, 37343 ]	Test
26,005	16	Title: Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering Abstract: To contribute to automating the medical vision-language model, we propose a novel Chest-Xray Different Visual Question Answering (VQA) task. Given a pair of main and reference im...	[]	Validation
26,006	24	Title: fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems Abstract: We discuss our simulation tool, ﬁntech-kMC, which is de- signed to generate synthetic data for machine learning model development and testing. ﬁntech-kMC is an agent-based model driven by a ki...	[]	Train
26,007	24	Title: Faster Riemannian Newton-type optimization by subsampling and cubic regularization Abstract: nan	[]	Validation
26,008	10	Title: Mapping Knowledge Representations to Concepts: A Review and New Perspectives Abstract: The success of neural networks builds to a large extent on their ability to create internal knowledge representations from real-world high-dimensional data, such as images, sound, or text. Approaches to extract and present the...	[]	Train
26,009	30	Title: BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing Abstract: —Deep neural networks (DNNs) and natural language processing (NLP) systems have developed rapidly and have been widely used in various real-world ﬁelds. However, they have been shown to be vulnerable to backdoor attacks...	[ 34076 ]	Train
26,010	3	Title: Experiential AI: A transdisciplinary framework for legibility and agency in AI Abstract: Experiential AI is presented as a research agenda in which scientists and artists come together to investigate the entanglements between humans and machines, and an approach to human-machine learning and development where kn...	[ 21548 ]	Validation
26,011	22	Title: Modeling Reachability Types with Logical Relations Abstract: Reachability types are a recent proposal to bring Rust-style reasoning about memory properties to higher-level languages. While key type soundness results for reachability types have been established using syntactic techniques in prior work, stronger m...	[ 32270 ]	Train
26,012	38	Title: Evaluating the Efficacy of ChatGPT-4 in Providing Scientific References across Diverse Disciplines Abstract: This work conducts a comprehensive exploration into the proficiency of OpenAI's ChatGPT-4 in sourcing scientific references within an array of research disciplines. Our in-depth analysis encompasses a wid...	[ 45631, 8591 ]	Train
26,013	16	Title: Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds Abstract: Deep learning has proved to be very effective in video action recognition. Video violence recognition attempts to learn the human multi-dynamic behaviours in more complex scenarios. In this work, we develop...	[]	Train
26,014	30	Title: SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning Abstract: Recently, commonsense reasoning in text generation has attracted much attention. Generative commonsense reasoning is the task that requires machines, given a group of keywords, to compose a single cohere...	[]	Test
26,015	25	Title: An ensemble-based framework for mispronunciation detection of Arabic phonemes Abstract: Determination of mispronunciations and ensuring feedback to users are maintained by computer-assisted language learning (CALL) systems. In this work, we introduce an ensemble model that defines the mispronunciation of Arabic ...	[]	Validation
26,016	16	Title: Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition Abstract: This work draws attention to the large fraction of near-duplicates in the training and test sets of datasets widely adopted in License Plate Recognition (LPR) research. These duplicates refer to images that, although d...	[ 22912, 33411 ]	Test
26,017	24	Title: Private Node Selection in Personalized Decentralized Learning Abstract: In this paper, we propose a novel approach for privacy-preserving node selection in personalized decentralized learning, which we refer to as Private Personalized Decentralized Learning (PPDL). Our method mitigates the risk of inference atta...	[]	Validation
26,018	24	Title: Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks Abstract: The increasingly deeper neural networks hinder the democratization of privacy-enhancing distributed learning, such as federated learning (FL), to resource-constrained devices. To overcome this challenge, in this paper, w...	[ 13792, 41826, 12232, 30925, 22768, 1053 ]	Test
26,019	30	Title: Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens Abstract: Transformers are central in modern natural language processing and computer vision applications. Despite recent works devoted to reducing the quadratic cost of such models (as a function of the sequence length), dealing w...	[]	Train
26,020	31	Title: Alleviating Video-Length Effect for Micro-video Recommendation Abstract: Micro-videos platforms such as TikTok are extremely popular nowadays. One important feature is that users no longer select interested videos from a set, instead they either watch the recommended video or skip to the next one. As a result, t...	[ 26278 ]	Train
26,021	16	Title: A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation Abstract: Deep learning in computer vision has achieved great success with the price of large-scale labeled training data. However, exhaustive data annotation is impracticable for each tas...	[]	Test
26,022	10	Title: Revisiting Dense Retrieval with Unanswerable Counterfactuals Abstract: The retriever-reader framework is popular for open-domain question answering (ODQA), where a retriever samples for the reader a set of relevant candidate passages from a large corpus. A key assumption behind this method is that high relevance...	[]	Train
26,023	24	Title: A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Abstract: Graph Neural Networks (GNNs) have gained significant attention owing to their ability to handle graph-structured data and the improvement in practical applications. However, many of these models prioritize high utilit...	[ 263, 14891, 9870, 27997, 6942 ]	Train
26,024	24	Title: Regularize implicit neural representation by itself Abstract: This paper proposes a regularizer called Implicit Neural Representation Regularizer (INRR) to improve the generalization ability of the Implicit Neural Representation (INR). The INR is a fully connected network that can represent signals with details ...	[]	Train
26,025	27	Title: In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States Abstract: Learning-based control approaches have shown great promise in performing complex tasks directly from high-dimensional perception data for real robotic systems. Nonetheless, the learned controllers ca...	[]	Validation
26,026	16	Title: Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders Abstract: Masked Autoencoders (MAEs) learn self-supervised representations by randomly masking input image patches and a reconstruction loss. Alternatively, contrastive learning self-supervised methods encourage two version...	[ 28334 ]	Validation
26,027	6	Title: Identifying Explanation Needs of End-users: Applying and Extending the XAI Question Bank Abstract: Explainable Artificial Intelligence (XAI) is concerned with making the decisions of AI systems interpretable to humans. Explanations are typically developed by AI experts and focus on algorithmic transparency and t...	[ 39649 ]	Train
26,028	25	Title: Pipeline for recording datasets and running neural networks on the Bela embedded hardware platform Abstract: Deploying deep learning models on embedded devices is an arduous task: oftentimes, there exist no platform-specific instructions, and compilation times can be considerably large due to the limited computa...	[ 19170 ]	Train
26,029	30	Title: Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning Abstract: Pretrained large language models (LLMs) are able to solve a wide variety of tasks through transfer learning. Various explainability methods have been developed to investigate their decision making process. TracIn (Pruthi et al.,...	[]	Train
26,030	16	Title: Target-Aware Generative Augmentations for Single-Shot Adaptation Abstract: In this paper, we address the problem of adapting models from a source domain to a target domain, a task that has become increasingly important due to the brittle generalization of deep neural networks. While several test-time adaptation ...	[ 43144 ]	Train
26,031	4	Title: Accountable authentication with privacy protection: The Larch system for universal login Abstract: Credential compromise is hard to detect and hard to mitigate. To address this problem, we present larch, an accountable authentication framework with strong security and privacy properties. Larch protects user priv...	[]	Train
26,032	24	Title: Sequential Training of GANs Against GAN-Classifiers Reveals Correlated “Knowledge Gaps” Present Among Independently Trained GAN Instances Abstract: Modern Generative Adversarial Networks (GANs) generate realistic images remarkably well. Previous work has demonstrated the feasibility of “GAN-classifiers” that are...	[ 11386 ]	Test
26,033	28	Title: Parameters of several families of binary duadic codes and their related codes Abstract: Binary duadic codes are an interesting subclass of cyclic codes since they have large dimensions and their minimum distances may have a square-root bound. In this paper, we present several families of binary duadic codes of l...	[ 16894, 19415 ]	Validation
26,034	16	Title: What's in a Name? Beyond Class Indices for Image Recognition Abstract: Existing machine learning models demonstrate excellent performance in image object recognition after training on a large-scale dataset under full supervision. However, these models only learn to map an image to a predefined class index, witho...	[]	Train
26,035	30	Title: CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility Abstract: With the rapid evolution of large language models (LLMs), there is a growing concern that they may pose risks or have negative social impacts. Therefore, evaluation of human values alignment is becoming increas...	[ 13700, 33220, 27140, 1575, 40330, 39576, 37806, 7695, 9457, 12981, 29430, 24440, 12602, 11614 ]	Validation
26,036	24	Title: NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants Abstract: Tiny deep learning has attracted increasing attention driven by the substantial demand for deploying deep learning on numerous intelligent Internet-of-Things devices. However, it is still challenging to unleash tiny d...	[]	Validation
26,037	24	Title: Agnostically Learning Single-Index Models using Omnipredictors Abstract: We give the first result for agnostically learning Single-Index Models (SIMs) with arbitrary monotone and Lipschitz activations. All prior work either held only in the realizable setting or required the activation to be known. Moreover, we ...	[]	Train
26,038	4	Title: Panini - Anonymous Anycast and an Instantiation Abstract: Anycast messaging (i.e., sending a message to an unspecified receiver) has long been neglected by the anonymous communication community. An anonymous anycast prevents senders from learning who the receiver of their message is, allowing for greater privacy...	[]	Train
26,039	16	Title: Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time Abstract: Current deep learning methods for environment segmentation and velocity estimation rely on Convolutional Recurrent Neural Networks to exploit spatio temporal relationships within obtained sen...	[]	Test
26,040	16	Title: A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation Abstract: Generative Adversarial Networks (GANs) and their variants have achieved remarkable success on natural images. However, their performance degrades when applied to remote sensing (RS) images, and the discriminator o...	[ 15258 ]	Train
26,041	4	Title: Delay Impact on Stubborn Mining Attack Severity in Imperfect Bitcoin Network Abstract: Stubborn mining attack greatly downgrades Bitcoin throughput and also benefits malicious miners (attackers). This paper aims to quantify the impact of block receiving delay on stubborn mining attack severity in imperfect Bitco...	[]	Train
26,042	30	Title: Target-Side Augmentation for Document-Level Machine Translation Abstract: Document-level machine translation faces the challenge of data sparsity due to its long input length and a small amount of training data, increasing the risk of learning spurious patterns. To address this challenge, we propose a target-sid...	[ 22493, 5047 ]	Test
26,043	24	Title: Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology Abstract: Multivariate Time Series (MVTS) anomaly detection is a long-standing and challenging research topic that has attracted tremendous research effort from both industry and academia recently. However, a careful s...	[]	Validation
26,044	24	Title: Towards Radar Emitter Recognition in Changing Environments with Domain Generalization Abstract: Analyzing radar signals from complex Electronic Warfare (EW) environment is a non-trivial task.However, in the real world, the changing EW environment results in inconsistent signal distribution, such as the pulse rep...	[]	Train
26,045	27	Title: Feeling Optimistic? Ambiguity Attitudes for Online Decision Making Abstract: As autonomous agents enter complex environments, it becomes more difficult to adequately model the interactions between the two. Agents must therefore cope with greater ambiguity (e.g., unknown environments, underdefined models, and vag...	[]	Train
26,046	13	Title: Particle swarm optimization with state-based adaptive velocity limit strategy Abstract: nan	[]	Test
26,047	24	Title: Diversity matters: Robustness of bias measurements in Wikidata Abstract: With the widespread use of knowledge graphs (KG) in various automated AI systems and applications, it is very important to ensure that information retrieval algorithms leveraging them are free from societal biases. Previous works have depic...	[]	Test
26,048	16	Title: Performance Evaluation of Swin Vision Transformer Model using Gradient Accumulation Optimization Technique Abstract: Vision Transformers (ViTs) have emerged as a promising approach for visual recognition tasks, revolutionizing the field by leveraging the power of transformer-based architectures. Among the variou...	[ 43504, 39514 ]	Train
26,049	4	Title: Performance comparison of timing-based anomaly detectors for Controller Area Network: a reproducible study Abstract: This work presents an experimental evaluation of the detection performance of eight different algorithms for anomaly detection on the Controller Area Network (CAN) bus of modern vehicles based on ...	[]	Train
26,050	34	Title: Subcubic algorithm for (Unweighted) Unrooted Tree Edit Distance Abstract: The tree edit distance problem is a natural generalization of the classic string edit distance problem. Given two ordered, edge-labeled trees $T_1$ and $T_2$, the edit distance between $T_1$ and $T_2$ is defined as the minimum total cost o...	[]	Train
26,051	30	Title: Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference Abstract: We view large language models (LLMs) as stochastic \emph{language layers} in a network, where the learnable parameters are the natural language \emph{prompts} at each layer. We stack two such layers, feeding the o...	[ 25751, 37411, 7239 ]	Train
26,052	16	Title: Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems Abstract: Deep learning models frequently suffer from various problems such as class imbalance and lack of robustness to distribution shift. It is often difficult to find data suitable for training beyond the available benchmarks...	[]	Test
26,053	3	Title: Navigating the acceptance of implementing business intelligence in organizations: A system dynamics approach Abstract: nan	[ 5851, 33428, 27565, 14719 ]	Test
26,054	4	Title: On the Construction of Near-MDS Matrices Abstract: nan	[]	Train
26,055	30	Title: Analyzing the Generalizability of Deep Contextualized Language Representations For Text Classification Abstract: This study evaluates the robustness of two state-of-the-art deep contextual language representations, ELMo and DistilBERT, on supervised learning of binary protest news classification and sentiment an...	[]	Train
26,056	10	Title: A multilingual translator to SQL with database schema pruning to improve self-attention Abstract: nan	[]	Train
26,057	30	Title: CTRAN: CNN-Transformer-based Network for Natural Language Understanding Abstract: Intent-detection and slot-filling are the two main tasks in natural language understanding. In this study, we propose CTRAN, a novel encoder-decoder CNN-Transformer-based architecture for intent-detection and slot-filling. In the e...	[]	Validation
26,058	30	Title: Evaluating Paraphrastic Robustness in Textual Entailment Models Abstract: We present PaRTE, a collection of 1,126 pairs of Recognizing Textual Entailment (RTE) examples to evaluate whether models are robust to paraphrasing. We posit that if RTE models understand language, their predictions should be consistent a...	[]	Train
26,059	27	Title: Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? Abstract: Pre-trained text-to-image generative models can produce diverse, semantically rich, and realistic images from natural language descriptions. Compared with language, images usually convey information with more details...	[ 38083, 28382, 16823, 39966, 17981, 28414 ]	Train
26,060	8	Title: System-Level Metrics for Non-Terrestrial Networks Under Stochastic Geometry Framework Abstract: Non-terrestrial networks (NTNs) are considered one of the key enablers in sixth-generation (6G) wireless networks; and with their rapid growth, system-level metrics analysis adds crucial understanding into NTN system ...	[ 39335 ]	Validation
26,061	16	Title: Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration Abstract: Accurate segmentation of fetal brain magnetic resonance images is crucial for analyzing fetal brain development and detecting potential neurodevelopmental abnormalities. Traditional deep learning-based automatic segm...	[]	Test
26,062	16	Title: ViCo: Engaging Video Comment Generation with Human Preference Rewards Abstract: Engaging video comments play an important role in video social media, as they are the carrier of feelings, thoughts, or humor of the audience. Preliminary works have made initial exploration for video comment generation by adopting c...	[ 10624, 33220 ]	Train
26,063	4	Title: A Novel Supervised Deep Learning Solution to Detect Distributed Denial of Service (DDoS) attacks on Edge Systems using Convolutional Neural Networks (CNN) Abstract: Cybersecurity attacks are becoming increasingly sophisticated and pose a growing threat to individuals, and private and public sectors. Distributed ...	[]	Train
26,064	24	Title: SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning Abstract: Few-shot relation reasoning on knowledge graphs (FS-KGR) aims to infer long-tail data-poor relations, which has drawn increasing attention these years due to its practicalities. The pre-training of previous method...	[ 34881, 931, 14888, 34063, 187, 24286 ]	Validation
26,065	28	Title: Computationally Relaxed Locally Decodable Codes, Revisited Abstract: We revisit computationally relaxed locally decodable codes (crLDCs) (Blocki et al., Trans. Inf. Theory ’21) and give two new constructions. Our first construction is a Hamming crLDC that is conceptually simpler than prior constructions, leverag...	[ 29905 ]	Train
26,066	4	Title: Data Privacy with Homomorphic Encryption in Neural Networks Training and Inference Abstract: The use of Neural Networks (NNs) for sensitive data processing is becoming increasingly popular, raising concerns about data privacy and security. Homomorphic Encryption (HE) has the potential to be used as a solution to...	[]	Train
26,067	24	Title: Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Data Manifolds Abstract: Despite a great deal of research, it is still not well-understood why trained neural networks are highly vulnerable to adversarial examples. In this work we focus on two-layer neural networks trained using data whi...	[]	Train
26,068	30	Title: How to Design Translation Prompts for ChatGPT: An Empirical Study Abstract: The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and natural language generation. Machine translation relies heavily on the abilities of language understanding and generation. Thus, in...	[ 19010, 17577, 27340, 23598, 37743, 1273 ]	Test
26,069	8	Title: Fast Context Adaptation in Cost-Aware Continual Learning Abstract: In the past few years, DRL has become a valuable solution to automatically learn efficient resource management strategies in complex networks with time-varying statistics. However, the increased complexity of 5G and Beyond networks requires corre...	[]	Validation
26,070	10	Title: About the Cost of Global Privacy in Density Estimation Abstract: We study non-parametric density estimation for densities in Lipschitz and Sobolev spaces, and under global privacy. In particular, we investigate regimes where the privacy budget is not supposed to be constant. We consider the classical definition ...	[ 23692, 40502 ]	Test
26,071	16	Title: CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion Abstract: Autonomous systems (AS) are systems that can adapt and change their behavior in response to unanticipated events and include systems such as aerial drones, autonomous vehicles, and ground/aquatic robots. AS require a wide a...	[]	Train
26,072	15	Title: Core Interface Optimization for Multi-core Neuromorphic Processors Abstract: Hardware implementations of Spiking Neural Networks (SNNs) represent a promising approach to edge-computing for applications that require low-power and low-latency, and which cannot resort to external cloud-based computing services. How...	[]	Validation
26,073	16	Title: PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching Abstract: Graph matching can be formalized as a combinatorial optimization problem, where there are corresponding relationships between pairs of nodes that can be represented as edges. This problem becomes challenging when there are pot...	[]	Train
26,074	24	Title: Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning Abstract: In this work, we investigate exemplar-free class incremental learning (CIL) with knowledge distillation (KD) as a regularization strategy, aiming to prevent forgetting. KD-based methods are successfully used in CI...	[ 22273, 16906 ]	Train
26,075	24	Title: Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks Abstract: Providing a model that achieves a strong predictive performance and at the same time is interpretable by humans is one of the most difficult challenges in machine learning research due to t...	[]	Train
26,076	16	Title: Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles Abstract: nan	[]	Train
26,077	16	Title: DC-Former: Diverse and Compact Transformer for Person Re-Identification Abstract: In person re-identification (ReID) task, it is still challenging to learn discriminative representation by deep learning, due to limited data. Generally speaking, the model will get better performance when increasing the amount of ...	[]	Train

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