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
40,478	24	Title: Exphormer: Sparse Transformers for Graphs Abstract: Graph transformers have emerged as a promising architecture for a variety of graph learning and representation tasks. Despite their successes, though, it remains challenging to scale graph transformers to large graphs while maintaining accuracy competitive with...	[ 2656, 20321, 28994, 44836, 4486, 11062, 38747, 21982 ]	Train
40,479	23	Title: Tag that issue: applying API-domain labels in issue tracking systems Abstract: nan	[]	Test
40,480	24	Title: Resource-Adaptive Newton's Method for Distributed Learning Abstract: Distributed stochastic optimization methods based on Newton's method offer significant advantages over first-order methods by leveraging curvature information for improved performance. However, the practical applicability of Newton's method is ...	[]	Test
40,481	16	Title: Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation Abstract: Text-guided human motion generation has drawn significant interest because of its impactful applications spanning animation and robotics. Recently, application of diffusion models for motion generation has enabled improvements i...	[ 9110 ]	Test
40,482	2	Title: Local Search for Solving Satisfiability of Polynomial Formulas Abstract: Satisfiability Modulo the Theory of Nonlinear Real Arithmetic, SMT(NRA) for short, concerns the satisfiability of polynomial formulas, which are quantifier-free Boolean combinations of polynomial equations and inequalities with integer coef...	[]	Train
40,483	24	Title: Autoencoder-based prediction of ICU clinical codes Abstract: Availability of diagnostic codes in Electronic Health Records (EHRs) is crucial for patient care as well as reimbursement purposes. However, entering them in the EHR is tedious, and some clinical codes may be overlooked. Given an in-complete list of cl...	[]	Train
40,484	24	Title: Efficient Online Processing with Deep Neural Networks Abstract: The capabilities and adoption of deep neural networks (DNNs) grow at an exhilarating pace: Vision models accurately classify human actions in videos and identify cancerous tissue in medical scans as precisely than human experts; large language model...	[ 43226 ]	Train
40,485	16	Title: Grounding 3D Object Affordance from 2D Interactions in Images Abstract: Grounding 3D object affordance seeks to locate objects' ''action possibilities'' regions in the 3D space, which serves as a link between perception and operation for embodied agents. Existing studies primarily focus on connecting visual affo...	[ 15620, 30566, 27337, 15341, 15743 ]	Test
40,486	24	Title: Polynomial-Model-Based Optimization for Blackbox Objectives Abstract: For a wide range of applications the structure of systems like Neural Networks or complex simulations, is unknown and approximation is costly or even impossible. Black-box optimization seeks to find optimal (hyper-) parameters for these system...	[]	Test
40,487	31	Title: AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning Abstract: Voice, as input, has progressively become popular on mobiles and seems to transcend almost entirely text input. Through voice, the voice search (VS) system can provide a more natural way to meet use...	[]	Train
40,488	16	Title: Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022 Abstract: In this report, we present the technical details of our submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation (UDA) Challenge for Action Recognition 2022. This task aims t...	[]	Test
40,489	24	Title: A Finite Sample Complexity Bound for Distributionally Robust Q-learning Abstract: We consider a reinforcement learning setting in which the deployment environment is different from the training environment. Applying a robust Markov decision processes formulation, we extend the distributionally robust $Q$-learnin...	[ 9634, 28691, 38107, 29926 ]	Test
40,490	25	Title: DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition Abstract: Speaker recognition is a biometric modality that utilizes the speaker's speech segments to recognize the identity, determining whether the test speaker belongs to one of the enrolled speakers. In order to improve the robustness of t...	[]	Train
40,491	24	Title: Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Abstract: Irregularly sampled time series are becoming increasingly prevalent in various domains, especially in medical applications. Although different highly-customized methods have been proposed to tackle irregularity, how to effect...	[]	Train
40,492	24	Title: Latent Traversals in Generative Models as Potential Flows Abstract: Despite the significant recent progress in deep generative models, the underlying structure of their latent spaces is still poorly understood, thereby making the task of performing semantically meaningful latent traversals an open research chall...	[ 37024 ]	Train
40,493	30	Title: GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking Abstract: Retrieval-enhanced text generation has shown remarkable progress on knowledge-intensive language tasks, such as open-domain question answering and knowledge-enhanced dialogue generation, by...	[ 27669 ]	Train
40,494	24	Title: Ankh ☥: Optimized Protein Language Model Unlocks General-Purpose Modelling Abstract: As opposed to scaling-up protein language models (PLMs), we seek improving performance via protein-specific optimization. Although the proportionality between the language model size and the richness of its learned representatio...	[ 19337 ]	Test
40,495	11	Title: Practical Model Reductions for Verification of Multi-Agent Systems Abstract: Formal verification of intelligent agents is often computationally infeasible due to state-space explosion. We present a tool for reducing the impact of the explosion by means of state abstraction that is (a) easy to use and understand...	[ 13445 ]	Validation
40,496	26	Title: Exploring the data of blockchain-based metaverses Abstract: In recent years the concept of metaverse has evolved in the attempt of defining richer immersive and interactive environments supporting various types of virtual experiences and interactions among users. This has led to the emergence of various differen...	[]	Train
40,497	16	Title: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation Abstract: Open-vocabulary semantic segmentation is a challenging task that requires segmenting novel object categories at inference time. Recent works explore vision-language pre-training to handle this task, but suffer from unrealisti...	[ 37250, 19497, 28974, 20562, 38612, 44573, 13310 ]	Train
40,498	24	Title: Open Problems in Applied Deep Learning Abstract: This work formulates the machine learning mechanism as a bi-level optimization problem. The inner level optimization loop entails minimizing a properly chosen loss function evaluated on the training data. This is nothing but the well-studied training process in pu...	[ 1616 ]	Train
40,499	13	Title: A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks Abstract: The biological neural systems evolved to adapt to ecological environment for efficiency and effectiveness, wherein neurons with heterogeneous structures and rich dynamics are optimized to accomplish complex cognitive t...	[]	Train
40,500	30	Title: Extending Memory for Language Modelling Abstract: Breakthroughs in deep learning and memory networks have made major advances in natural language understanding. Language is sequential and information carried through the sequence can be captured through memory networks. Learning the sequence is one of the key asp...	[]	Validation
40,501	30	Title: Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media Abstract: nan	[ 18777, 12013 ]	Test
40,502	34	Title: A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions Abstract: We present the first $\varepsilon$-differentially private, computationally efficient algorithm that estimates the means of product distributions over $\{0,1\}^d$ accurately in total-variation distance, whilst atta...	[ 31083, 4741, 26070 ]	Train
40,503	16	Title: NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination Abstract: Inverse rendering methods aim to estimate geometry, materials and illumination from multi-view RGB images. In order to achieve better decomposition, recent approaches attempt to model indirect illuminations ref...	[ 26876 ]	Train
40,504	30	Title: Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study Abstract: The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like conversations. Given its usage by users from various nations and its training on a vast multili...	[ 12128, 31552, 17668, 35580, 26792, 30063, 10672, 3250, 8436, 12602, 25083, 668 ]	Test
40,505	2	Title: Intuitionistic S4 is decidable Abstract: In this paper we demonstrate decidability for the intuitionistic modal logic S4 first formulated by Fischer Servi. This solves a problem that has been open for almost thirty years since it had been posed in Simpson’s PhD thesis in 1994. We obtain this result by performing...	[]	Train
40,506	16	Title: DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Abstract: Few-shot learning aims to adapt models trained on the base dataset to novel tasks where the categories are not seen by the model before. This often leads to a relatively uniform distribution of feature va...	[]	Test
40,507	24	Title: Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms Abstract: Recent breakthrough technological progressions of powerful mobile computing resources such as low-cost mobile GPUs along with cutting-edge, open-source software architectures have enabled high-p...	[]	Test
40,508	28	Title: Algebraic Invariants of Codes on Weighted Projective Spaces Abstract: Weighted projective spaces are natural generalizations of projective spaces with a rich structure. Projective Reed-Muller codes are error-correcting codes that played an important role in reliably transmitting information on digital communicat...	[]	Train
40,509	27	Title: We, Vertiport 6, are temporarily closed: Interactional Ontological Methods for Changing the Destination Abstract: This paper presents a continuation of the previous research on the interaction between a human traffic manager and the UATMS. In particular, we focus on the automation of the process of handling a ve...	[ 883, 29542 ]	Train
40,510	27	Title: Gesture-Informed Robot Assistance via Foundation Models Abstract: Gestures serve as a fundamental and significant mode of non-verbal communication among humans. Deictic gestures (such as pointing towards an object), in particular, offer valuable means of efficiently expressing intent in situations where language...	[ 3793, 22518, 33853, 17153 ]	Train
40,511	24	Title: Scalable Infomin Learning Abstract: The task of infomin learning aims to learn a representation with high utility while being uninformative about a specified target, with the latter achieved by minimising the mutual information between the representation and the target. It has broad applications, ranging from tr...	[]	Train
40,512	16	Title: X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection Abstract: Recent advances in 3D object detection (3DOD) have obtained remarkably strong results for LiDAR-based models. In contrast, surround-view 3DOD models based on multiple camera images underperform due to ...	[ 8906, 20278, 7815 ]	Test
40,513	4	Title: Ransomware Detection and Classification Strategies Abstract: Ransomware uses encryption methods to make data inaccessible to legitimate users. To date a wide range of ransomware families have been developed and deployed, causing immense damage to governments, corporations, and private users. As these cyberthreat...	[ 45787 ]	Validation
40,514	16	Title: PowerQuant: Automorphism Search for Non-Uniform Quantization Abstract: Deep neural networks (DNNs) are nowadays ubiquitous in many domains such as computer vision. However, due to their high latency, the deployment of DNNs hinges on the development of compression techniques such as quantization which consists in...	[ 1673, 17931, 34773, 39545, 4157 ]	Train
40,515	11	Title: On Faking a Nash Equilibrium Abstract: We characterize offline data poisoning attacks on Multi-Agent Reinforcement Learning (MARL), where an attacker may change a data set in an attempt to install a (potentially fictitious) unique Markov-perfect Nash equilibrium. We propose the unique Nash set, namely the set of...	[]	Train
40,516	16	Title: Learning from synthetic data generated with GRADE Abstract: Recently, synthetic data generation and realistic rendering has advanced tasks like target tracking and human pose estimation. Simulations for most robotics applications are obtained in (semi)static environments, with specific sensors and low visual fid...	[ 2712 ]	Validation
40,517	16	Title: A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision Abstract: Existing model evaluation tools mainly focus on evaluating classification models, leaving a gap in evaluating more complex models, such as object detection. In this paper, we develo...	[]	Validation
40,518	10	Title: LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models Abstract: Systems that support users in the automatic creation of visualizations must address several subtasks - understand the semantics of data, enumerate relevant visualization goals and gener...	[ 7936, 13700, 11274, 24238, 5493, 26777, 39451, 32286 ]	Train
40,519	24	Title: Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning Abstract: Distributed learning on the edge often comprises self-centered devices (SCD) which learn local tasks independently and are unwilling to contribute to the performance of other SDCs. How do we achieve forward ...	[]	Validation
40,520	30	Title: Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction Abstract: nan	[]	Train
40,521	16	Title: TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving Abstract: Vision-centric joint perception and prediction (PnP) has become an emerging trend in autonomous driving research. It predicts the future states of the traffic participants in t...	[ 3502 ]	Validation
40,522	10	Title: Hybrid ASP-based multi-objective scheduling of semiconductor manufacturing processes (Extended version) Abstract: Modern semiconductor manufacturing involves intricate production processes consisting of hundreds of operations, which can take several months from lot release to completion. The high-tech machines u...	[]	Train
40,523	38	Title: Safeguarding Scientific Integrity: Examining Conflicts of Interest in the Peer Review Process Abstract: This case study analyzes the expertise, potential conflicts of interest, and objectivity of editors, authors, and peer reviewers involved in a 2022 special journal issue on fertility, pregnancy, and mental hea...	[]	Validation
40,524	16	Title: Self-Supervised Video Representation Learning via Latent Time Navigation Abstract: Self-supervised video representation learning aimed at maximizing similarity between different temporal segments of one video, in order to enforce feature persistence over time. This leads to loss of pertinent information related ...	[]	Test
40,525	30	Title: Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations Abstract: Evaluating multi-document summarization (MDS) quality is difficult. This is especially true in the case of MDS for biomedical literature reviews, where models must synthesize contradicting evidence reported acros...	[ 16489 ]	Train
40,526	16	Title: AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving Abstract: Unlike humans, who can effortlessly estimate the entirety of objects even when partially occluded, modern computer vision algorithms still find this aspect extremely challenging. Leveraging this amodal perception for autonom...	[ 21429 ]	Train
40,527	16	Title: DyLiN: Making Light Field Networks Dynamic Abstract: Light Field Networks, the re-formulations of radiance fields to oriented rays, are magnitudes faster than their coordinate network counterparts, and provide higher fidelity with respect to representing 3D structures from 2D observations. They would be well sui...	[ 37769, 30695 ]	Validation
40,528	16	Title: Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval Abstract: In text-video retrieval, recent works have benefited from the powerful learning capabilities of pre-trained text-image foundation models (e.g., CLIP) by adapting them to the video domain. A critical problem for them is how to effectively...	[ 34464, 30914, 15467 ]	Train
40,529	24	Title: Understanding Uncertainty Sampling Abstract: Uncertainty sampling is a prevalent active learning algorithm that queries sequentially the annotations of data samples which the current prediction model is uncertain about. However, the usage of uncertainty sampling has been largely heuristic: (i) There is no consen...	[ 11414 ]	Train
40,530	24	Title: Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Abstract: Reinforcement learning has been greatly improved in recent studies and an increased interest in real-world implementation has emerged in recent years. In many cases, due to the non-static disturbances, it beco...	[]	Train
40,531	16	Title: Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization Abstract: 3D Skeleton-based human action recognition has attracted increasing attention in recent years. Most of the existing work focuses on supervised learning which requires a large number of labeled action sequences that are o...	[]	Validation
40,532	16	Title: ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation Abstract: Recent advancements in dense out-of-distribution (OOD) detection have primarily focused on scenarios where the training and testing datasets share a similar domain, with the assumption that no domain shift exists...	[ 38933 ]	Test
40,533	31	Title: Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling Abstract: Knowledge graphs (KGs) have become important auxiliary information for helping recommender systems obtain a good understanding of user preferences. Despite recent advances in KG-based recommender systems, exis...	[ 20665 ]	Test
40,534	16	Title: DiffUTE: Universal Text Editing Diffusion Model Abstract: Diffusion model based language-guided image editing has achieved great success recently. However, existing state-of-the-art diffusion models struggle with rendering correct text and text style during generation. To tackle this problem, we propose a univer...	[ 42145, 34074, 13700, 15983 ]	Validation
40,535	30	Title: The Role of Semantic Parsing in Understanding Procedural Text Abstract: In this paper, we investigate whether symbolic semantic representations, extracted from deep semantic parsers, can help reasoning over the states of involved entities in a procedural text. We consider a deep semantic parser~(TRIPS) and seman...	[]	Train
40,536	16	Title: Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution Abstract: Recent years have witnessed a few attempts of vision transformers for single image super-resolution (SISR). Since the high resolution of intermediate features in SISR models increases memory and computational requirem...	[]	Validation
40,537	30	Title: TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts Abstract: We present the TherapyView, a demonstration system to help therapists visualize the dynamic contents of past treatment sessions, enabled by the state-of-the-art neural topic modeling techniques to analyze the t...	[ 33749 ]	Train
40,538	10	Title: LogAI: A Library for Log Analytics and Intelligence Abstract: Software and System logs record runtime information about processes executing within a system. These logs have become the most critical and ubiquitous forms of observability data that help developers understand system behavior, monitor system health a...	[ 35289 ]	Train
40,539	10	Title: A Biomedical Knowledge Graph for Biomarker Discovery in Cancer Abstract: Structured and unstructured data and facts about drugs, genes, protein, viruses, and their mechanism are spread across a huge number of scientific articles. These articles are a large-scale knowledge source and can have a huge impact on dis...	[]	Test
40,540	16	Title: Maskomaly: Zero-Shot Mask Anomaly Segmentation Abstract: We present a simple and practical framework for anomaly segmentation called Maskomaly. It builds upon mask-based standard semantic segmentation networks by adding a simple inference-time post-processing step which leverages the raw mask outputs of such net...	[ 15768, 16513 ]	Validation
40,541	3	Title: A ‘Human-in-the-Loop’ approach for Information Extraction from Privacy Policies under Data Scarcity Abstract: Machine-readable representations of privacy policies are door openers for a broad variety of novel privacy-enhancing and, in particular, transparency-enhancing technologies (TETs). In order to generate s...	[ 42283, 37571 ]	Train
40,542	4	Title: Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity Abstract: As cyber attacks continue to increase in frequency and sophistication, detecting malware has become a critical task for maintaining the security of computer systems. Traditional signature-based methods of malware detection h...	[]	Test
40,543	27	Title: Experimental method for perching flapping-wing aerial robots Abstract: In this work, we present an experimental setup and guide to enable the perching of large flapping-wing robots. The combination of forward flight, limited payload, and flight oscillations imposes challenging conditions for localized perching. ...	[]	Train
40,544	16	Title: Tracking Objects with 3D Representation from Videos Abstract: Data association is a knotty problem for 2D Multiple Object Tracking due to the object occlusion. However, in 3D space, data association is not so hard. Only with a 3D Kalman Filter, the online object tracker can associate the detections from LiDAR. I...	[ 5141, 45287 ]	Validation
40,545	30	Title: From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment Abstract: Entity Alignment (EA) aims to find the equivalent entities between two Knowledge Graphs (KGs). Existing methods usually encode the triples of entities as embeddings and learn to align the embeddings, which prevent...	[]	Test
40,546	34	Title: Krylov Methods are (nearly) Optimal for Low-Rank Approximation Abstract: We consider the problem of rank-$1$ low-rank approximation (LRA) in the matrix-vector product model under various Schatten norms: $$ \min_{\\|u\\|_2=1} \\|A (I - u u^\top)\\|_{\mathcal{S}_p} , $$ where $\\|M\\|_{\mathcal{S}_p}$ denotes the $\ell_...	[ 42291 ]	Train
40,547	28	Title: Task-aware Distributed Source Coding under Dynamic Bandwidth Abstract: Efficient compression of correlated data is essential to minimize communication overload in multi-sensor networks. In such networks, each sensor independently compresses the data and transmits them to a central node due to limited communicati...	[ 28023 ]	Train
40,548	36	Title: Recent Developments in Pandora's Box Problem: Variants and Applications Abstract: In 1979, Weitzman introduced Pandora's box problem as a framework for sequential search with costly inspections. Recently, there has been a surge of interest in Pandora's box problem, particularly among researchers working at the i...	[ 6459, 19660 ]	Train
40,549	6	Title: Supportive Fintech for Individuals with Bipolar Disorder: Financial Data Sharing Preferences to Support Longitudinal Care Management Abstract: Financial stability is a key challenge for individuals living with bipolar disorder (BD). Symptomatic periods in BD are associated with poor financial decision-making, co...	[]	Train
40,550	24	Title: Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation Abstract: We propose a new model, independent linear Markov game, for multi-agent reinforcement learning with a large state space and a large number of agents. This is a class of Markov gam...	[ 2520, 37961, 38748 ]	Test
40,551	14	Title: Computing the Characteristic Polynomial of Endomorphisms of a finite Drinfeld Module using Crystalline Cohomology Abstract: We present a new algorithm for computing the characteristic polynomial of an arbitrary endomorphism of a finite Drinfeld module using its associated crystalline cohomology. Our approach tak...	[ 31777, 35254 ]	Train
40,552	4	Title: Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods : An Application to the Android Framework for Data Leak Detection Abstract: Apps on mobile phones manipulate all sorts of data, including sensitive data, leading to privacy-related concerns. Re...	[]	Test
40,553	6	Title: Using Abstract Tangible Proxy Objects for Interaction in Optical See-through Augmented Reality Abstract: Interaction with virtual objects displayed in Optical See-through Augmented Reality is still mostly done with controllers or hand gestures. A much more intuitive way of interacting with virtual content is to ...	[]	Validation
40,554	28	Title: Informational Rescaling of PCA Maps with Application to Genetic Distance Abstract: We discuss the inadequacy of covariances/correlations and other measures in L-2 as relative distance metrics. We propose a computationally simple heuristic to transform a map based on standard principal component analysis (PCA) (w...	[]	Test
40,555	24	Title: TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models Abstract: We propose a robust and reliable evaluation metric for generative models by introducing topological and statistical treatments for rigorous support estimation. Existing metrics, such as Inception Score...	[]	Validation
40,556	27	Title: PlaNet-Pick: Effective Cloth Flattening Based on Latent Dynamic Planning Abstract: Why do Recurrent State Space Models such as PlaNet fail at cloth manipulation tasks? Recent work has attributed this to the blurry reconstruction of the observation, which makes it difficult to plan directly in the latent space. T...	[ 22816 ]	Test
40,557	30	Title: Leveraging Foundation Models for Clinical Text Analysis Abstract: Infectious diseases are a significant public health concern globally, and extracting relevant information from scientific literature can facilitate the development of effective prevention and treatment strategies. However, the large amount of clin...	[]	Test
40,558	36	Title: On Truthful Constrained Facility Location with Max-Variant Cost Abstract: We consider a problem where agents are positioned on a line, have approval preferences over two facilities, and their cost is the maximum distance from their approved facilities. The goal is to decide the facility locations to minimize the...	[ 41480 ]	Train
40,559	4	Title: SecFlow: Adaptive Security-Aware Workflow Management System in Multi-Cloud Environments Abstract: In this paper, we propose an architecture for a security-aware workflow management system (WfMS) we call SecFlow in answer to the recent developments of combining workflow management systems with Cloud environments ...	[]	Test
40,560	4	Title: Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Abstract: Although backdoor learning is an active research topic in the NLP domain, the literature lacks studies that systematically categorize and summarize backdoor attacks and defenses. To bridge the gap, we present a compr...	[ 23292 ]	Validation
40,561	30	Title: CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models Abstract: Holistically measuring societal biases of large language models is crucial for detecting and reducing ethical risks in highly capable AI models. In this work, we present a Chinese Bias Benchmark dataset...	[ 8580, 31238 ]	Validation
40,562	10	Title: A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering Abstract: Reasoning and question answering as a basic cognitive function for humans, is nevertheless a great challenge for current artificial intelligence. Although the Differentiable Neural Compute...	[]	Train
40,563	25	Title: FunASR: A Fundamental End-to-End Speech Recognition Toolkit Abstract: This paper introduces FunASR, an open-source speech recognition toolkit designed to bridge the gap between academic research and industrial applications. FunASR offers models trained on large-scale industrial corpora and the ability to deploy ...	[ 19417, 6935 ]	Validation
40,564	38	Title: FastCat Catalogues: Interactive Entity-based Exploratory Analysis of Archival Documents Abstract: We describe FastCat Catalogues, a Web application that supports researchers studying archival material, such as historians, in exploring and quantitatively analysing the data (transcripts) of archival documents. The...	[]	Train
40,565	23	Title: Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT Abstract: Automated Program Repair (APR) aims to automatically generate patches for buggy programs. Recent APR work has been focused on leveraging modern Large Language Models (LLMs) to directly generate patches for APR. Such LL...	[ 676, 35580, 34493, 18984, 31817, 7531, 18895, 43471, 22097, 25973, 11190, 3932, 23837, 9471 ]	Train
40,566	37	Title: Graph Data Models and Relational Database Technology Abstract: Recent work on database application development platforms has sought to include a declarative formulation of a conceptual data model in the application code, using annotations or attributes. Some recent work has used metadata to include the details o...	[ 38220 ]	Test
40,567	16	Title: Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method Abstract: Image aesthetics assessment (IAA) is a challenging task due to its highly subjective nature. Most of the current studies rely on large-scale datasets (e.g., AVA and AADB) to learn a general model for all kinds of photo...	[]	Validation
40,568	16	Title: AI driven shadow model detection in agropv farms Abstract: Agro-photovoltaic (APV) is a growing farming practice that combines agriculture and solar photovoltaic projects within the same area. This emerging market is expected to experience significant growth in the next few years, with a projected investment of ...	[]	Train
40,569	24	Title: Exploring the Performance of Pruning Methods in Neural Networks: An Empirical Study of the Lottery Ticket Hypothesis Abstract: In this paper, we explore the performance of different pruning methods in the context of the lottery ticket hypothesis. We compare the performance of L1 unstructured pruning, Fisher prun...	[]	Validation
40,570	4	Title: Trustchain - Trustworthy Decentralised Public Key Infrastructure for Digital Credentials Abstract: The sharing of public key information is central to the digital credential security model, but the existing Web PKI with its opaque Certification Authorities and synthetic attestations serves a very different purpo...	[ 40446 ]	Train
40,571	16	Title: HVDetFusion: A Simple and Robust Camera-Radar Fusion Framework Abstract: In the field of autonomous driving, 3D object detection is a very important perception module. Although the current SOTA algorithm combines Camera and Lidar sensors, limited by the high price of Lidar, the current mainstream landing schemes...	[ 9888, 21776, 23089, 7815 ]	Train
40,572	16	Title: PPI-NET: End-to-End Parametric Primitive Inference Abstract: In engineering applications, line, circle, arc, and point are collectively referred to as primitives, and they play a crucial role in path planning, simulation analysis, and manufacturing. When designing CAD models, engineers typically start by sketchi...	[]	Validation
40,573	27	Title: Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning Abstract: In existing task and motion planning (TAMP) research, it is a common assumption that experts manually specify the state space for task-level planning. A well-developed state space enables the desirable distribution of limit...	[ 38083 ]	Validation
40,574	24	Title: Query Learning Algorithm for Ordered Multi-Terminal Binary Decision Diagrams Abstract: We propose a query learning algorithm for ordered multi-terminal binary decision diagrams (OMTBDDs) using at most n equivalence and 2n(l\lcei\log_2 m\rceil+ 3n) membership queries by extending the algorithm for ordered binary ...	[]	Train
40,575	16	Title: Scene as Occupancy Abstract: Human driver can easily describe the complex traffic scene by visual system. Such an ability of precise perception is essential for driver's planning. To achieve this, a geometry-aware representation that quantizes the physical 3D scene into structured grid map with semantic labels p...	[ 8579, 26151, 17612, 529, 24600 ]	Validation
40,576	24	Title: Calculating the matrix profile from noisy data Abstract: The matrix profile (MP) is a data structure computed from a time series which encodes the data required to locate motifs and discords, corresponding to recurring patterns and outliers respectively. When the time series contains noisy data then the conventi...	[]	Train
40,577	16	Title: Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Abstract: Deep learning has successfully solved a wide range of tasks in 2D vision as a dominant AI technique. Recently, deep learning on 3D point clouds is becoming increasingly popular for addressing various tasks in this field. Despit...	[]	Train

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