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
37,278	13	Title: Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Abstract: For a long time, biology and neuroscience fields have been a great source of inspiration for computer scientists, towards the development of Artificial Intelligence (AI) technologies. This survey aims at providing a comprehensi...	[ 6720 ]	Validation
37,279	2	Title: Automated Complexity Analysis of Integer Programs via Triangular Weakly Non-Linear Loops (Short WST Version) Abstract: There exist several results on deciding termination and computing runtime bounds for triangular weakly non-linear loops (twn-loops). We show how to use results on such subclasses of programs whe...	[]	Test
37,280	24	Title: A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers Abstract: Short-term load forecasting (STLF) is vital for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time ser...	[ 7123 ]	Test
37,281	10	Title: Knowledge Graph for NLG in the context of conversational agents Abstract: The use of knowledge graphs (KGs) enhances the accuracy and comprehensiveness of the responses provided by a conversational agent. While generating answers during conversations consists in generating text from these KGs, it is still regard...	[]	Test
37,282	36	Title: Fair Price Discrimination Abstract: A seller is pricing identical copies of a good to a stream of unit-demand buyers. Each buyer has a value on the good as his private information. The seller only knows the empirical value distribution of the buyer population and chooses the revenue-optimal price. We consider a ...	[]	Train
37,283	16	Title: Divide & Bind Your Attention for Improved Generative Semantic Nursing Abstract: Emerging large-scale text-to-image generative models, e.g., Stable Diffusion (SD), have exhibited overwhelming results with high fidelity. Despite the magnificent progress, current state-of-the-art models still struggle to generate i...	[ 30402, 5387, 41517, 28532, 43867 ]	Test
37,284	30	Title: Drafting Event Schemas using Language Models Abstract: Past work has studied event prediction and event language modeling, sometimes mediated through structured representations of knowledge in the form of event schemas. Such schemas can lead to explainable predictions and forecasting of unseen events given incom...	[ 44022 ]	Train
37,285	30	Title: CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants Abstract: A wave of new task-based virtual assistants has been fueled by increasingly powerful large language models, such as GPT-4. These conversational agents can be customized to serve customer-specif...	[ 13388, 30087 ]	Test
37,286	16	Title: BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models Abstract: The rise in popularity of text-to-image generative artificial intelligence (AI) has attracted widespread public interest. We demonstrate that this technology can be attacked to generate content that subtly manipulates its users. W...	[ 42145, 8547, 5375 ]	Test
37,287	24	Title: Using simulation to calibrate real data acquisition in veterinary medicine Abstract: This paper explores the innovative use of simulation environments to enhance data acquisition and diagnostics in veterinary medicine, focusing specifically on gait analysis in dogs. The study harnesses the power of Blender and t...	[]	Validation
37,288	22	Title: LoRe: A Programming Model for Verifiably Safe Local-First Software Abstract: Local-first software manages and processes private data locally while still enabling collaboration between multiple parties connected via partially unreliable networks. Such software typically involves interactions with users and the ex...	[]	Validation
37,289	26	Title: The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections Abstract: Social media has been an important tool in the expansion of the populist message, and it is thought to have contributed to the electoral success of populist parties in the past decade. This study compares how populist pa...	[]	Test
37,290	24	Title: Data Redaction from Conditional Generative Models Abstract: Deep generative models are known to produce undesirable samples such as harmful content. Traditional mitigation methods include re-training from scratch, filtering, or editing; however, these are either computationally expensive or can be circumvented b...	[ 33220, 44741, 13700, 26153, 21778, 20435, 7354 ]	Train
37,291	28	Title: On the Advantages of Asynchrony in the Unsourced MAC Abstract: In this work we demonstrate how a lack of synchronization can in fact be advantageous in the problem of random access. Specifically, we consider a multiple-access problem over a frame-asynchronous 2-user binary-input adder channel in the unsourced se...	[]	Train
37,292	3	Title: Managing health insurance using blockchain technology Abstract: Health insurance plays a significant role in ensuring quality healthcare. In response to the escalating costs of the medical industry, the demand for health insurance is soaring. Additionally, those with health insurance are more likely to receive p...	[ 25859 ]	Test
37,293	5	Title: Distributed Kafka Clusters: A Novel Approach to Global Message Ordering Abstract: In contemporary distributed systems, logs are produced at an astounding rate, generating terabytes of data within mere seconds. These logs, containing pivotal details like system metrics, user actions, and diverse events, are found...	[ 43312, 45017 ]	Train
37,294	4	Title: SALSy: Security-Aware Layout Synthesis Abstract: Integrated Circuits (ICs) are the target of diverse attacks during their lifetime. Fabrication-time attacks, such as the insertion of Hardware Trojans, can give an adversary access to privileged data and/or the means to corrupt the IC's internal computation. Post-...	[]	Test
37,295	7	Title: Machine learning and reduced order modelling for the simulation of braided stent deployment Abstract: Endoluminal reconstruction using flow diverters represents a novel paradigm for the minimally invasive treatment of intracranial aneurysms. The configuration assumed by these very dense braided stents once deplo...	[]	Train
37,296	28	Title: Self-Connected Spatially Coupled LDPC Codes With Improved Termination Abstract: This letter investigates the design of self-connected spatially coupled low-density parity-check (SC-LDPC) codes. First, a termination method is proposed to reduce rate loss. Particularly, a single-side open SC-LDPC ensemble is intro...	[]	Train
37,297	16	Title: HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration Abstract: Feature Descriptors and Detectors are two main components of feature-based point cloud registration. However, little attention has been drawn to the explicit representation of local and global semantics in the learning of descr...	[]	Train
37,298	4	Title: Security Reputation Metrics Abstract: nan	[]	Train
37,299	24	Title: UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Abstract: Diffusion probabilistic models (DPMs) have demonstrated a very promising ability in high-resolution image synthesis. However, sampling from a pre-trained DPM usually requires hundreds of model evaluations, which is com...	[ 21697, 37697, 9317, 37477, 16040, 43881, 20624, 12593, 40113, 8564, 19705, 8798 ]	Test
37,300	24	Title: Are We Using Autoencoders in a Wrong Way? Abstract: Autoencoders are certainly among the most studied and used Deep Learning models: the idea behind them is to train a model in order to reconstruct the same input data. The peculiarity of these models is to compress the information through a bottleneck, creating ...	[]	Train
37,301	3	Title: Professional Ethics by Design: Co-creating Codes of Conduct for Computational Practice Abstract: This paper deals with the importance of developing codes of conduct for practitioners--be it journalists, doctors, attorneys, or other professions--that are encountering ethical issues when using computation, but do ...	[]	Train
37,302	30	Title: A Novel Approach for Auto-Formulation of Optimization Problems Abstract: In the Natural Language for Optimization (NL4Opt) NeurIPS 2022 competition, competitors focus on improving the accessibility and usability of optimization solvers, with the aim of subtask 1: recognizing the semantic entities that correspond...	[ 39469, 285, 5261 ]	Train
37,303	16	Title: LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding Abstract: Visually-rich Document Understanding (VrDU) has attracted much research attention over the past years.Pre-trained models on a large number of document images with transformer-based backbones have led to s...	[]	Train
37,304	10	Title: Utilizing deep learning for automated tuning of database management systems Abstract: Managing the configurations of a database system poses significant challenges due to the multitude of configuration knobs that impact various system aspects. The lack of standardization, independence, and universality among the...	[]	Validation
37,305	5	Title: The Space Complexity of Consensus from Swap Abstract: Nearly thirty years ago, it was shown that Ω(√n ) read/write registers are needed to solve obstruction-free consensus among n processes. This lower bound was improved to n registers in 2018, which exactly matches the best upper bound. The Ømega (√n) space com...	[]	Validation
37,306	30	Title: Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain Abstract: Automatic evaluation metrics have been facilitating the rapid development of automatic summarization methods by providing instant and fair assessments of the quality of summaries. Most metrics have been developed for the ge...	[]	Train
37,307	16	Title: The NCI Imaging Data Commons as a platform for reproducible research in computational pathology Abstract: Background and Objectives: Reproducibility is a major challenge in developing machine learning (ML)-based solutions in computational pathology (CompPath). The NCI Imaging Data Commons (IDC) provides>120 canc...	[]	Test
37,308	16	Title: BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling Abstract: Reasoning the 3D structure of a non-rigid dynamic scene from a single moving camera is an under-constrained problem. Inspired by the remarkable progress of neural radiance fields (NeRFs) in photo-realistic novel view synthesis of static scen...	[ 37769, 5820 ]	Train
37,309	3	Title: On the Mechanics of NFT Valuation: AI Ethics and Social Media Abstract: As CryptoPunks pioneers the innovation of non-fungible tokens (NFTs) in AI and art, the valuation mechanics of NFTs has become a trending topic. Earlier research identifies the impact of ethics and society on the price prediction of CryptoPu...	[ 12505, 32779 ]	Train
37,310	30	Title: Simple synthetic data reduces sycophancy in large language models Abstract: Sycophancy is an undesirable behavior where models tailor their responses to follow a human user's view even when that view is not objectively correct (e.g., adapting liberal views once a user reveals that they are liberal). In this pape...	[ 40192, 15812, 20709, 33220, 34981, 9610, 31194, 43641, 18041, 20794 ]	Validation
37,311	4	Title: Behind The Wings: The Case of Reverse Engineering and Drone Hijacking in DJI Enhanced Wi-Fi Protocol Abstract: This research paper entails an examination of the Enhanced Wi-Fi protocol, focusing on its control command reverse-engineering analysis and subsequent demonstration of a hijacking attack. Our investigat...	[]	Train
37,312	1	Title: Video Compression with Arbitrary Rescaling Network Abstract: We propose a practical downsampling compression scheme, as shown in Fig 1, to use a neural network as a pre-processing module for traditional codecs to improve compression performance. Specifically, we propose a neural network-based pre-processing meth...	[]	Train
37,313	24	Title: Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem Abstract: Injective multiset functions have a key role in the theoretical study of machine learning on multisets and graphs. Yet, there remains a gap between the provably injective multiset functions considered in theory, ...	[ 12378, 15594, 36699, 34787 ]	Train
37,314	16	Title: SplatFlow: Learning Multi-frame Optical Flow via Splatting Abstract: Occlusion problem remains a key challenge in Optical Flow Estimation (OFE) despite the recent significant progress brought by deep learning in the field. Most existing deep learning OFE methods, especially those based on two frames, cannot prop...	[]	Train
37,315	16	Title: Deep Directly-Trained Spiking Neural Networks for Object Detection Abstract: Spiking neural networks (SNNs) are brain-inspired energy-efficient models that encode information in spatiotemporal dynamics. Recently, deep SNNs trained directly have shown great success in achieving high performance on classification ...	[]	Train
37,316	30	Title: Making Language Models Better Tool Learners with Execution Feedback Abstract: Tools serve as pivotal interfaces that enable humans to understand and reshape the world. With the advent of foundational models, AI systems can utilize tools to expand their capabilities and interact with the world. Existing tool lear...	[ 27138, 13700, 25772, 6963, 9812, 634, 13564 ]	Train
37,317	16	Title: When hard negative sampling meets supervised contrastive learning Abstract: State-of-the-art image models predominantly follow a two-stage strategy: pre-training on large datasets and fine-tuning with cross-entropy loss. Many studies have shown that using cross-entropy can result in sub-optimal generalisation an...	[]	Train
37,318	24	Title: DiTTO: Diffusion-inspired Temporal Transformer Operator Abstract: Solving partial differential equations (PDEs) using a data-driven approach has become increasingly common. The recent development of the operator learning paradigm has enabled the solution of a broader range of PDE-related problems. We propose an ...	[ 43786, 1116, 25821, 36735 ]	Train
37,319	16	Title: Style-Aware Contrastive Learning for Multi-Style Image Captioning Abstract: Existing multi-style image captioning methods show promising results in generating a caption with accurate visual content and desired linguistic style. However, existing methods overlook the relationship between linguistic style and visu...	[]	Train
37,320	30	Title: An Error-Guided Correction Model for Chinese Spelling Error Correction Abstract: Although existing neural network approaches have achieved great success on Chinese spelling correction, there is still room to improve. The model is required to avoid over-correction and to distinguish a correct token from its phono...	[]	Test
37,321	16	Title: Benchmarking and Analyzing Generative Data for Visual Recognition Abstract: Advancements in large pre-trained generative models have expanded their potential as effective data generators in visual recognition. This work delves into the impact of generative images, primarily comparing paradigms that harness exter...	[ 10624, 14213, 34074, 23575, 41146 ]	Test
37,322	8	Title: 5G Wings: Investigating 5G-Connected Drones Performance in Non-Urban Areas Abstract: Unmanned aerial vehicles (UAVs) have become extremely popular for both military and civilian applications due to their ease of deployment, cost-effectiveness, high maneuverability, and availability. Both applications, however, n...	[]	Train
37,323	28	Title: Low Complexity Time Synchronization for Zero-padding based Waveforms Abstract: The discussion on using zero padding (ZP) instead of a cyclic prefix (CP) for enhancing channel estimation and equalization performance is a recurring topic in waveform design for future wireless systems that high spectral efficiency ...	[ 10631 ]	Train
37,324	23	Title: Exploring Technical Debt in Security Questions on Stack Overflow Abstract: Background: Software security is crucial to ensure that the users are protected from undesirable consequences such as malware attacks which can result in loss of data and, subsequently, financial loss. Technical Debt (TD) is a metaphor in...	[]	Train
37,325	6	Title: Towards Sustainable Research Data Management in Human-Computer Interaction Abstract: We discuss important aspects of HCI research regarding Research Data Management (RDM) to achieve better publication processes and higher reuse of HCI research results. Various context elements of RDM for HCI are discussed, inclu...	[]	Validation
37,326	24	Title: Expectation-Complete Graph Representations with Homomorphisms Abstract: We investigate novel random graph embeddings that can be computed in expected polynomial time and that are able to distinguish all non-isomorphic graphs in expectation. Previous graph embeddings have limited expressiveness and either cannot ...	[ 692, 31492 ]	Validation
37,327	2	Title: An ecumenical view of proof-theoretic semantics Abstract: Debates concerning philosophical grounds for the validity of classical and intuitionistic logics often have the very nature of logical proofs as one of the main points of controversy. The intuitionist advocates for a strict notion of constructive proof, w...	[]	Test
37,328	28	Title: Reinforcement Learning for Sequential Decoding of Generalized LDPC Codes Abstract: In this work, we propose reinforcement learning (RL) for sequential decoding of moderate length generalized low-density parity-check (GLDPC) codes. Here, sequential decoding refers to scheduling all the generalized constraint node...	[]	Test
37,329	24	Title: Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features Abstract: Graph convolutional networks (GCN) leverage topology-driven graph convolutional operations to combine information across the graph for inference tasks. In our recent work, we ha...	[]	Train
37,330	3	Title: Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML Abstract: The growing need for accountability of the people behind AI systems can be addressed by leveraging processes in three fields of study: ethics, law, and computer science. While these fields are oft...	[ 23898, 27059, 36434 ]	Test
37,331	30	Title: Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis Abstract: nan	[]	Train
37,332	25	Title: deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition Abstract: Existing self-supervised pre-trained speech models have offered an effective way to leverage massive unannotated corpora to build good automatic speech recognition (ASR). However, many current models are trained on a...	[ 39175 ]	Test
37,333	16	Title: Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds Abstract: Zero-Shot Learning (ZSL) focuses on classifying samples of unseen classes with only their side semantic information presented during training. It cannot handle real-life, open-world scenarios where there are test samples ...	[ 4356, 41894 ]	Train
37,334	20	Title: For Kernel Range Spaces a Constant Number of Queries Are Sufficient Abstract: We introduce the notion of an $\varepsilon$-cover for a kernel range space. A kernel range space concerns a set of points $X \subset \mathbb{R}^d$ and the space of all queries by a fixed kernel (e.g., a Gaussian kernel $K(p,\cdot) = \e...	[]	Train
37,335	24	Title: Beyond Intuition, a Framework for Applying GPs to Real-World Data Abstract: Gaussian Processes (GPs) offer an attractive method for regression over small, structured and correlated datasets. However, their deployment is hindered by computational costs and limited guidelines on how to apply GPs beyond simple low-...	[]	Train
37,336	24	Title: Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks Abstract: This paper proposes a novel approach to integrating partial differential equation (PDE)-based evolution models into neural networks through a new type of regularization. Specifically, we propose inverse evolution layers (I...	[]	Validation
37,337	16	Title: Protective Self-Adaptive Pruning to Better Compress DNNs Abstract: Adaptive network pruning approach has recently drawn significant attention due to its excellent capability to identify the importance and redundancy of layers and filters and customize a suitable pruning solution. However, it remains unsatisfacto...	[]	Validation
37,338	17	Title: Visual-Guided Mesh Repair Abstract: Mesh repair is a long-standing challenge in computer graphics and related fields. Converting defective meshes into watertight manifold meshes can greatly benefit downstream applications such as geometric processing, simulation, fabrication, learning, and synthesis. In this wor...	[]	Validation
37,339	38	Title: Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective Abstract: Reproducibility is a key aspect for scientific advancement across disciplines, and reducing barriers for open science is a focus area for the theme of Interspeech 2023. Availability of source code is on...	[ 8644 ]	Train
37,340	28	Title: Vehicle Detection in 6G Systems with OTFS Modulation Abstract: The recently introduced orthogonal time frequency space modulation (OTFSM) is more robust to large narrow-band Doppler frequency shift than the orthogonal frequency division multiplexing (OFDM), used in the 5G standard. In this paper it is shown how ...	[ 24551 ]	Validation
37,341	4	Title: Homomorphic Encryption: An Analysis of its Applications in Searchable Encryption Abstract: The widespread adoption of cloud infrastructures has revolutionised data storage and access. However, it has also raised concerns regarding the privacy of sensitive data stored in the cloud. To address these concerns, encr...	[]	Test
37,342	27	Title: A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Abstract: Deployment of reinforcement learning algorithms for robotics applications in the real world requires ensuring the safety of the robot and its environment. Safe robot reinforcement learning (SRRL) is a crucial step t...	[ 28580, 35758 ]	Train
37,343	24	Title: Scaling Laws Do Not Scale Abstract: Recent work has proposed a power law relationship, referred to as ``scaling laws,'' between the performance of artificial intelligence (AI) models and aspects of those models' design (e.g., dataset size). In other words, as the size of a dataset (or model parameters, etc) incr...	[ 11330, 21927, 15820, 846, 4465, 26004, 40693, 6423, 19773, 9311 ]	Train
37,344	24	Title: Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning Abstract: Semi-supervised Learning (SSL) has been proven vulnerable to out-of-distribution (OOD) samples in realistic large-scale unsupervised datasets due to over-confident pseudo-labeling OODs as in-distribution (ID). A key underlying ...	[]	Train
37,345	27	Title: Preserving HRI Capabilities: Physical, Remote and Simulated Modalities in the SciRoc 2021 Competition Abstract: In the last years, robots are moving out of research laboratories to enter everyday life. Competitions aiming at benchmarking the capabilities of a robot in everyday scenarios are useful to make a step...	[]	Train
37,346	16	Title: Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving Abstract: Recent years have witnessed huge successes in 3D object detection to recognize common objects for autonomous driving (e.g., vehicles and pedestrians). However, most methods rely heavily on a large amount of well-labele...	[]	Validation
37,347	10	Title: Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins Abstract: We consider the problem of correct motion planning for T-intersection merge-ins of arbitrary geometry and vehicle density. A merge-in support system has to estimate the chances that a gap between two consecutive vehicles c...	[ 29700, 13193, 20458, 16203, 36380 ]	Train
37,348	24	Title: Generative Modeling with Flow-Guided Density Ratio Learning Abstract: We present Flow-Guided Density Ratio Learning (FDRL), a simple and scalable approach to generative modeling which builds on the stale (time-independent) approximation of the gradient flow of entropy-regularized f-divergences introduced in DGfl...	[]	Train
37,349	30	Title: Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task Abstract: The evolution of Generative Pre-trained Transformer (GPT) models has led to significant advancements in various natural language processing applications, particularly in legal textual entailment. We present an analysis of GPT-3.5 (Ch...	[ 6810, 36964, 40789, 43807 ]	Train
37,350	24	Title: Computational Asymmetries in Robust Classification Abstract: In the context of adversarial robustness, we make three strongly related contributions. First, we prove that while attacking ReLU classifiers is $\mathit{NP}$-hard, ensuring their robustness at training time is $\Sigma^2_P$-hard (even on a single examp...	[]	Train
37,351	27	Title: "How Did They Come Across?" Lessons Learned from Continuous Affective Ratings Abstract: Social distance, or perception of the other, is recognized as a dynamic dimension of an interaction, but yet to be widely explored or understood. Through CORAE, a novel web-based open-source tool for COntinuous Retrospective ...	[ 26659 ]	Train
37,352	16	Title: NeRFs: The Search for the Best 3D Representation Abstract: Neural Radiance Fields or NeRFs have become the representation of choice for problems in view synthesis or image-based rendering, as well as in many other applications across computer graphics and vision, and beyond. At their core, NeRFs describe a new r...	[ 19781, 23687, 21771, 24716, 42645 ]	Validation
37,353	30	Title: Experimental results from applying GPT-4 to an unpublished formal language Abstract: Can large language models be used to complete mathematical tasks that are traditionally performed either manually or with the aid of theorem provers? To answer this question, a state-of-the-art system, GPT-4, was provided with a...	[ 19936 ]	Train
37,354	26	Title: Constrained expectation-maximisation for inference of social graphs explaining online user–user interactions Abstract: nan	[]	Test
37,355	37	Title: Block Chain in the IoT industry: A Systematic Literature Review Abstract: The possibility of block chain innovation revolutionizing business operations and interpersonal interactions in Industry 4.0 is becoming more widely acknowledged. Industry 4.0 and the Industrial Internet of Things (IoT) are among the new a...	[]	Train
37,356	27	Title: Residual Dynamics Learning for Trajectory Tracking for Multi-rotor Aerial Vehicles Abstract: This paper presents a technique to cope with the gap between high-level planning, e.g., reference trajectory tracking, and low-level controlling using a learning-based method in the plan-based control paradigm. The techn...	[ 8275 ]	Test
37,357	3	Title: Surprise machines: revealing Harvard Art Museums' image collection Abstract: Surprise Machines is a project of experimental museology that sets out to visualize the entire image collection of the Harvard Art Museums, with a view to opening up unexpected vistas on more than 200,000 objects usually inaccessib...	[ 40087 ]	Train
37,358	24	Title: ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Abstract: Auxiliary-Task Learning (ATL) aims to improve the performance of the target task by leveraging the knowledge obtained from related tasks. Occasionally, learning multiple tasks simultaneously results in lower accuracy than learning only ...	[ 13802 ]	Test
37,359	15	Title: High-performance and Scalable Software-based NVMe Virtualization Mechanism with I/O Queues Passthrough Abstract: NVMe(Non-Volatile Memory Express) is an industry standard for solid-state drives (SSDs) that has been widely adopted in data centers. NVMe virtualization is crucial in cloud computing as it allows for...	[]	Train
37,360	30	Title: SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models Abstract: Generative Large Language Models (LLMs) such as GPT-3 are capable of generating highly fluent responses to a wide variety of user prompts. However, LLMs are known to hallucinate facts and make non-factual...	[ 14592, 4610, 18564, 28805, 31493, 21127, 13700, 34953, 397, 16401, 21011, 22422, 9886, 44063, 37411, 29606, 29223, 26792, 30251, 4274, 15410, 26423, 12602, 28731, 21180, 31291, 41914, 32319, 38208, 46016, 18882, 10179, 14148, 37063, 44623, 11476,...	Train
37,361	27	Title: Vision-Based Reactive Planning and Control of Quadruped Robots in Unstructured Dynamic Environments Abstract: Quadruped robots have received increasing attention for the past few years. However, existing works primarily focus on static environments or assume the robot has full observations of the environment. Th...	[]	Train
37,362	16	Title: When to Learn What: Model-Adaptive Data Augmentation Curriculum Abstract: Data augmentation (DA) is widely used to improve the generalization of neural networks by enforcing the invariances and symmetries to pre-defined transformations applied to input data. However, a fixed augmentation policy may have differen...	[]	Validation
37,363	26	Title: A Network Science Perspective of Graph Convolutional Networks: A Survey Abstract: The mining and exploitation of graph structural information have been the focal points in the study of complex networks. Traditional structural measures in Network Science focus on the analysis and modelling of complex networks fro...	[]	Validation
37,364	24	Title: FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization Abstract: From a service perspective, Multi-Source Domain Adaptation (MSDA) is a promising scenario to adapt a deployed model to a client's dataset. It can provide adaptation without a ta...	[]	Train
37,365	5	Title: Adaptive Massively Parallel Connectivity in Optimal Space Abstract: We study the problem of finding connected components in the Adaptive Massively Parallel Computation (AMPC) model. We show that when we require the total space to be linear in the size of the input graph the problem can be solved in O(log*n) roun...	[]	Train
37,366	28	Title: Time-domain Channel Property Feedback in 5G-Advanced and Beyond Abstract: The availability of time-variability information of a channel between a network node and a user equipment at the network side allows a 5G network to optimally configure its parameters to maximize both user and system performance. In the Re...	[ 32924 ]	Train
37,367	5	Title: Diagnosing applications’ I/O behavior through system call observability Abstract: We present DIO, a generic tool for observing inefficient and erroneous I/O interactions between applications and in-kernel storage systems that lead to performance, dependability, and correctness issues. DIO facilitates the analysi...	[]	Test
37,368	24	Title: Self-Motivated Multi-Agent Exploration Abstract: In cooperative multi-agent reinforcement learning (CMARL), it is critical for agents to achieve a balance between self-exploration and team collaboration. However, agents can hardly accomplish the team task without coordination and they would be trapped in a local...	[]	Train
37,369	16	Title: Towards Flexible Multi-modal Document Models Abstract: Creative workflows for generating graphical documents involve complex inter-related tasks, such as aligning elements, choosing appropriate fonts, or employing aesthetically harmonious colors. In this work, we attempt at building a holistic model that can joi...	[ 2633 ]	Train
37,370	6	Title: From OECD to India: Exploring cross-cultural differences in perceived trust, responsibility and reliance of AI and human experts Abstract: AI is getting more involved in tasks formerly exclusively assigned to humans. Most of research on perceptions and social acceptability of AI in these areas is mainly restrict...	[]	Train
37,371	24	Title: Towards Robust Metrics for Concept Representation Evaluation Abstract: Recent work on interpretability has focused on concept-based explanations, where deep learning models are explained in terms of high-level units of information, referred to as concepts. Concept learning models, however, have been shown to be ...	[ 24252, 23494, 1462 ]	Train
37,372	16	Title: Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization Abstract: nan	[ 22629, 25384, 36842, 27662, 39312, 44477 ]	Train
37,373	13	Title: Is it conceivable that neurogenesis, neural Darwinism, and species evolution could all serve as inspiration for the creation of evolutionary deep neural networks? Abstract: Deep Neural Networks (DNNs) are built using artificial neural networks. They are part of machine learning methods that are capable of learni...	[]	Test
37,374	37	Title: Decentralized Data Governance as Part of a Data Mesh Platform: Concepts and Approaches Abstract: Data mesh is a socio-technical approach to decentralized analytics data management. To manage this decentralization efficiently, data mesh relies on automation provided by a self-service data infrastructure platform....	[]	Train
37,375	4	Title: Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques Abstract: The growing use of voice user interfaces has led to a surge in the collection and storage of speech data. While data collection allows for the development of efficient tools powering most speech services, it also poses seriou...	[]	Train
37,376	24	Title: The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment Abstract: Increased focus on the deployment of machine learning systems has led to rapid improvements in hardware accelerator performance and neural network model efficiency. However, the resulting reductions in floating point...	[ 7937 ]	Validation
37,377	28	Title: Adaptive RRI Selection Algorithms for Improved Cooperative Awareness in Decentralized NR-V2X Abstract: Decentralized vehicle-to-everything (V2X) networks (i.e., C-V2X Mode-4 and NR-V2X Mode-2) utilize sensing-based semi-persistent scheduling (SPS) where vehicles sense and reserve suitable radio resources for Bas...	[]	Test

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