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
40,078	24	Title: iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models Abstract: Structural causal models (SCMs) are widely used in various disciplines to represent causal relationships among variables in complex systems. Unfortunately, the true underlying directed acyclic graph (DAG) structure is ofte...	[ 31849 ]	Validation
40,079	16	Title: Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder Abstract: Composed image retrieval aims to find an image that best matches a given multi-modal user query consisting of a reference image and text pair. Existing methods commonly pre-compute image embeddings over the entire corpu...	[ 10624, 11113, 28973, 20535, 35615 ]	Validation
40,080	4	Title: Security of IT/OT Convergence: Design and Implementation Challenges Abstract: IoT is undoubtedly considered the future of the Internet. Many sectors are moving towards the use of these devices to aid better monitoring, controlling of the surrounding environment, and manufacturing processes. The Industrial Intern...	[]	Train
40,081	24	Title: Graph Neural Network for spatiotemporal data: methods and applications Abstract: In the era of big data, there has been a surge in the availability of data containing rich spatial and temporal information, offering valuable insights into dynamic systems and processes for applications such as weather forecasting,...	[ 35597, 25174 ]	Validation
40,082	34	Title: The Iteration Number of the Weisfeiler-Leman Algorithm Abstract: We prove new upper and lower bounds on the number of iterations the k-dimensional Weisfeiler-Leman algorithm (k-WL) requires until stabilization. For k ≥ 3, we show that k-WL stabilizes after at most O(knk−1 log n) iterations (where n denotes the n...	[ 35910, 3503 ]	Train
40,083	16	Title: Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey Abstract: A large field-of-view fisheye camera allows for capturing a large area with minimal numbers of cameras when they are mounted on a high position facing downwards. This top-view omnidirectional setup greatly reduces the work and...	[]	Train
40,084	24	Title: Pseudo-Inverted Bottleneck Convolution for DARTS Search Space Abstract: Differentiable Architecture Search (DARTS) has attracted considerable attention as a gradient-based neural architecture search method. Since the introduction of DARTS, there has been little work done on adapting the action space based on sta...	[]	Train
40,085	11	Title: Metatickles and Death in Damascus Abstract: The prescriptions of our two most prominent strands of decision theory, evidential and causal, differ in a general class of problems known as Newcomb problems. In these, evidential decision theory prescribes choosing a dominated act. Attempts have been made at reconcil...	[]	Test
40,086	24	Title: Preserving Locality in Vision Transformers for Class Incremental Learning Abstract: Learning new classes without forgetting is crucial for real-world applications for a classification model. Vision Transformers (ViT) recently achieve remarkable performance in Class Incremental Learning (CIL). Previous works main...	[ 45354, 24047, 7175 ]	Test
40,087	6	Title: The MERCADO Workshop at IEEE VIS 2023: Multimodal Experiences for Remote Communication Around Data Online Abstract: We propose a half-day workshop at IEEE VIS 2023 on the topic of communication and collaboration around data. Specifically, we aim to gather researchers interested on multimodal, synchronous, and re...	[ 37357 ]	Test
40,088	2	Title: Modal Algebra of Multirelations Abstract: We formalise the modal operators from the concurrent dynamic logics of Peleg, Nerode and Wijesekera in a multirelational algebraic language based on relation algebra and power allegories, using relational approximation operators on multirelations developed in a companion...	[ 14177 ]	Train
40,089	4	Title: Modification in Elliptic Curve Cryptography based Mutual authentication scheme for smart grid communication using biometric approach Abstract: Smart grid is a self-sufficient system. That tracks how the energy is used from its source to its final destination. The smart grid can increase the service quality while...	[]	Train
40,090	10	Title: Anticipating Responsibility in Multiagent Planning Abstract: Responsibility anticipation is the process of determining if the actions of an individual agent may cause it to be responsible for a particular outcome. This can be used in a multi-agent planning setting to allow agents to anticipate responsibility in ...	[]	Validation
40,091	10	Title: Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model Abstract: Despite the success of deep neural network (DNN) on sequential data (i.e., scene text and speech) recognition, it suffers from the over-confidence problem mainly due to overfitting in training with the cross-entropy loss...	[ 13370 ]	Test
40,092	36	Title: The Distortion of Binomial Voting Defies Expectation Abstract: In computational social choice, the distortion of a voting rule quantifies the degree to which the rule overcomes limited preference information to select a socially desirable outcome. This concept has been investigated extensively, but only through ...	[]	Train
40,093	24	Title: Machine Unlearning for Causal Inference Abstract: Machine learning models play a vital role in making predictions and deriving insights from data and are being increasingly used for causal inference. To preserve user privacy, it is important to enable the model to forget some of its learning/captured information...	[]	Train
40,094	30	Title: The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning Abstract: In recent years, short Text Matching tasks have been widely applied in the fields ofadvertising search and recommendation. The difficulty lies in the lack of semantic information and word ambiguity caused by the short length...	[]	Test
40,095	11	Title: On the use of chaotic dynamics for mobile network design and analysis: towards a trace data generator Abstract: With the constant increase of the number of autonomous vehicles and connected objects, tools to understand and reproduce their mobility models are required. We focus on chaotic dynamics and review thei...	[]	Validation
40,096	4	Title: Iterative Design of An Accessible Crypto Wallet for Blind Users Abstract: Crypto wallets are a key touch-point for cryptocurrency use. People use crypto wallets to make transactions, manage crypto assets, and interact with decentralized apps (dApps). However, as is often the case with emergent technologies, litt...	[]	Validation
40,097	30	Title: Machine Reading Comprehension using Case-based Reasoning Abstract: We present an accurate and interpretable method for answer extraction in machine reading comprehension that is reminiscent of case-based reasoning (CBR) from classical AI. Our method (CBR-MRC) builds on the hypothesis that contextualized answers ...	[]	Train
40,098	5	Title: ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks Abstract: Unmanned Aerial Vehicle (UAV) networks have been widely used in both military and civilian scenarios. When users are interested in the statistical information of the historical sensory data in a certain re...	[]	Validation
40,099	24	Title: Looped Transformers as Programmable Computers Abstract: We present a framework for using transformer networks as universal computers by programming them with specific weights and placing them in a loop. Our input sequence acts as a punchcard, consisting of instructions and memory for data read/writes. We demonst...	[ 7936, 29792, 12898, 19394, 20546, 35488, 37252, 25833, 23885, 39566, 41390, 11633, 36754, 45053, 15190, 349, 33279 ]	Validation
40,100	16	Title: Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input Abstract: We propose a combined generative and contrastive neural architecture for learning latent representations of 3D volumetric shapes. The architecture uses two encoder branches for voxel...	[ 35658 ]	Validation
40,101	16	Title: Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning Abstract: Gastrointestinal diseases pose significant healthcare chall-enges as they manifest in diverse ways and can lead to potential complications. Ensuring precise and timel...	[]	Validation
40,102	24	Title: Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification Abstract: Classifying incomplete multi-view data is inevitable since arbitrary view missing widely exists in real-world applications. Although great progress has been achieved, existing incomplete multi-view methods are still difficult...	[]	Test
40,103	24	Title: Unleashing the Power of Graph Learning through LLM-based Autonomous Agents Abstract: Graph structured data are widely existed and applied in the real-world applications, while it is a challenge to handling these diverse data and learning tasks on graph in an efficient manner. When facing the complicated graph le...	[ 33477, 43718, 1292, 7661, 26222, 43164, 17299, 18007, 26552, 38779, 3804, 44189 ]	Train
40,104	15	Title: C4CAM: A Compiler for CAM-based In-memory Accelerators Abstract: Machine learning and data analytics applications increasingly suffer from the high latency and energy consumption of conventional von Neumann architectures. Recently, several in-memory and near-memory systems have been proposed to remove this von N...	[ 29207 ]	Train
40,105	16	Title: NoiseTransfer: Image Noise Generation with Contrastive Embeddings Abstract: Deep image denoising networks have achieved impressive success with the help of a considerably large number of synthetic train datasets. However, real-world denoising is a still challenging problem due to the dissimilarity between distri...	[]	Train
40,106	6	Title: The Effects of Android Robots Displaying Emotion on Humans: Interactions between Older Adults and Android Robots Abstract: Often robots are seen as a means to an end to fulfill a logical objective task. Android robots, on the other hand, provide new possibilities to fulfill emotional tasks and could therefore be...	[]	Train
40,107	2	Title: Fully Automated Verification of Linear Time-Invariant Systems against Signal Temporal Logic Specifications via Reachability Analysis Abstract: While reachability analysis is one of the most promising approaches for the formal verification of dynamic systems, a major disadvantage preventing a more widespread appl...	[]	Test
40,108	8	Title: FlexEdge: Digital Twin-Enabled Task Offloading for UAV-Aided Vehicular Edge Computing Abstract: Integrating unmanned aerial vehicles (UAVs) into vehicular networks have shown high potentials in affording intensive computing tasks. In this paper, we study the digital twin driven vehicular edge computing networks ...	[]	Train
40,109	30	Title: Large Language Models for Biomedical Causal Graph Construction Abstract: Automatic causal graph construction is of high importance in medical research. They have many applications, such as clinical trial criteria design, where identification of confounding variables is a crucial step. The quality bar for clinica...	[ 11476 ]	Test
40,110	6	Title: Ten Steps to Becoming a Musculoskeletal Simulation Expert: A Half-Century of Progress and Outlook for the Future Abstract: nan	[ 25651 ]	Train
40,111	16	Title: GeoNet: Benchmarking Unsupervised Adaptation across Geographies Abstract: In recent years, several efforts have been aimed at improving the robustness of vision models to domains and environments unseen during training. An important practical problem pertains to models deployed in a new geography that is under-r...	[]	Test
40,112	30	Title: MenuCraft: Interactive Menu System Design with Large Language Models Abstract: Menu system design is a challenging task involving many design options and various human factors. For example, one crucial factor that designers need to consider is the semantic and systematic relation of menu commands. However, captu...	[ 30752 ]	Train
40,113	4	Title: VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models Abstract: Diffusion Models (DMs) are state-of-the-art generative models that learn a reversible corruption process from iterative noise addition and denoising. They are the backbone of many generative AI applications, such as text-to-image...	[ 8994, 34215, 37299, 8308, 5375 ]	Train
40,114	2	Title: Complex Logical Reasoning over Knowledge Graphs using Large Language Models Abstract: Reasoning over knowledge graphs (KGs) is a challenging task that requires a deep understanding of the complex relationships between entities and the underlying logic of their relations. Current approaches rely on learning geome...	[ 31215, 33220, 15325, 9775 ]	Validation
40,115	24	Title: Applications of Federated Learning in Manufacturing: Identifying the Challenges and Exploring the Future Directions with Industry 4.0 and 5.0 Visions Abstract: In manufacturing settings, data collection and analysis are often a time-consuming, challenging, and costly process. It also hinders the use of advanced ...	[ 43337, 11945 ]	Train
40,116	4	Title: EPUF: A Novel Scheme Based on Entropy Features of Latency-based DRAM PUFs Providing Lightweight Authentication in IoT Networks Abstract: Physical unclonable functions (PUFs) are hardware-oriented primitives that exploit manufacturing variations to generate a unique identity for a physical system. Recent advancem...	[]	Validation
40,117	24	Title: Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning Abstract: Understanding when the noise in stochastic gradient descent (SGD) affects generalization of deep neural networks remains a challenge, complicated by the fact that networks can operate in distinct training regimes. Here we study ho...	[]	Train
40,118	10	Title: For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network Abstract: Achieving gender equality is an important pillar for humankind’s sustainable future. Pioneering data-driven gender bias research is based on large-scale public records such as sci...	[]	Train
40,119	25	Title: High-Fidelity Audio Compression with Improved RVQGAN Abstract: Language models have been successfully used to model natural signals, such as images, speech, and music. A key component of these models is a high quality neural compression model that can compress high-dimensional natural signals into lower dimensio...	[ 19170, 18777, 21778, 16376, 10169 ]	Train
40,120	6	Title: Towards Co-Creative Generative Adversarial Networks for Fashion Designers Abstract: Originating from the premise that Generative Adversarial Networks (GANs) enrich creative processes rather than diluting them, we describe an ongoing PhD project that proposes to study GANs in a co-creative context. By asking How ...	[]	Train
40,121	10	Title: Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification Abstract: Clinical notes are assigned ICD codes - sets of codes for diagnoses and procedures. In the recent years, predictive machine learning models have been built for automatic ICD coding. However, there is a lack of widely accepted benchmark...	[ 41139 ]	Train
40,122	16	Title: A Benchmark for Chinese-English Scene Text Image Super-resolution Abstract: Scene Text Image Super-resolution (STISR) aims to recover high-resolution (HR) scene text images with visually pleasant and readable text content from the given low-resolution (LR) input. Most existing works focus on recovering English t...	[]	Train
40,123	16	Title: BrackishMOT: The Brackish Multi-Object Tracking Dataset Abstract: There exist no publicly available annotated underwater multi-object tracking (MOT) datasets captured in turbid environments. To remedy this we propose the BrackishMOT dataset with focus on tracking schools of small fish, which is a notoriously dif...	[]	Train
40,124	16	Title: FaceCoresetNet: Differentiable Coresets for Face Set Recognition Abstract: In set-based face recognition, we aim to compute the most discriminative descriptor from an unbounded set of images and videos showing a single person. A discriminative descriptor balances two policies when aggregating information from a ...	[ 37610 ]	Train
40,125	30	Title: Investigating Cross-Domain Behaviors of BERT in Review Understanding Abstract: Review score prediction requires review text understanding, a critical real-world application of natural language processing. Due to dissimilar text domains in product reviews, a common practice is fine-tuning BERT models upon reviews...	[]	Train
40,126	27	Title: Predicting Routine Object Usage for Proactive Robot Assistance Abstract: Proactivity in robot assistance refers to the robot's ability to anticipate user needs and perform assistive actions without explicit requests. This requires understanding user routines, predicting consistent activities, and actively seekin...	[]	Train
40,127	24	Title: Visual Knowledge Discovery with General Line Coordinates Abstract: Understanding black-box Machine Learning methods on multidimensional data is a key challenge in Machine Learning. While many powerful Machine Learning methods already exist, these methods are often unexplainable or perform poorly on complex data....	[ 36488 ]	Test
40,128	24	Title: Differential Privacy Meets Neural Network Pruning Abstract: A major challenge in applying differential privacy to training deep neural network models is scalability.The widely-used training algorithm, differentially private stochastic gradient descent (DP-SGD), struggles with training moderately-sized neural net...	[ 9713 ]	Train
40,129	30	Title: Interpreting Sentiment Composition with Latent Semantic Tree Abstract: As the key to sentiment analysis, sentiment composition considers the classification of a constituent via classifications of its contained sub-constituents and rules operated on them. Such compositionality has been widely studied previously i...	[]	Train
40,130	20	Title: Flexible and Probabilistic Topology Tracking with Partial Optimal Transport Abstract: In this paper, we present a flexible and probabilistic framework for tracking topological features in time-varying scalar fields using merge trees and partial optimal transport. Merge trees are topological descriptors that reco...	[ 18552 ]	Train
40,131	16	Title: Learning to Generate 3D Representations of Building Roofs Using Single-View Aerial Imagery Abstract: We present a novel pipeline for learning the conditional distribution of a building roof mesh given pixels from an aerial image, under the assumption that roof geometry follows a set of regular patterns. Unlike a...	[]	Train
40,132	25	Title: V2Meow: Meowing to the Visual Beat via Music Generation Abstract: Generating high quality music that complements the visual content of a video is a challenging task. Most existing visual conditioned music generation systems generate symbolic music data, such as MIDI files, instead of raw audio waveform. Given th...	[ 4481, 13186, 15628, 2887 ]	Train
40,133	24	Title: A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Abstract: Molecule pretraining has quickly become the go-to schema to boost the performance of AI-based drug discovery. Naturally, molecules can be represented as 2D topological graphs or 3D geometric point clouds. Alth...	[ 12362, 33395, 36537, 4089, 36634 ]	Test
40,134	27	Title: Obstacle Avoidance in Dynamic Environments via Tunnel-following MPC with Adaptive Guiding Vector Fields Abstract: This paper proposes a motion control scheme for robots operating in a dynamic environment with concave obstacles. A Model Predictive Controller (MPC) is constructed to drive the robot towards a goal ...	[ 19964 ]	Train
40,135	30	Title: Automatic Prompt Optimization with "Gradient Descent" and Beam Search Abstract: Large Language Models (LLMs) have shown impressive performance as general purpose agents, but their abilities remain highly dependent on prompts which are hand written with onerous trial-and-error effort. We propose a simple and nonp...	[ 36738, 10981, 13510, 10023, 42089, 11115, 15692, 18767, 22578, 46066, 33940, 44918 ]	Train
40,136	30	Title: PharmacyGPT: The AI Pharmacist Abstract: In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical pharmacists. Our methodology encompasses the utilization of LLMs to generate comprehensible pa...	[ 31904, 45505, 20355, 13700, 16581, 21989, 45189, 11273, 31147, 44272, 44246, 16471, 24, 21594, 7996, 23230, 1151 ]	Validation
40,137	34	Title: Prefix Sorting DFAs: a Recursive Algorithm Abstract: In the past thirty years, numerous algorithms for building the suffix array of a string have been proposed. In 2021, the notion of suffix array was extended from strings to DFAs, and it was shown that the resulting data structure can be built in $ O(m^2 + n^{5...	[ 5865 ]	Train
40,138	5	Title: Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks Abstract: Semi-decentralized federated learning blends the conventional device to-server (D2S) interaction structure of federated model training with localized device-to-device (D2D) communications. We study this architecture...	[ 8412 ]	Test
40,139	30	Title: REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection Abstract: Technological advancements in web platforms allow people to express and share emotions towards textual write-ups written and shared by others. This brings about different inte...	[]	Test
40,140	16	Title: Exploiting Point-Wise Attention in 6D Object Pose Estimation Based on Bidirectional Prediction Abstract: Traditional geometric registration based estimation methods only exploit the CAD model implicitly, which leads to their dependence on observation quality and deficiency to occlusion. To address the problem,th...	[ 36257, 4451, 38413 ]	Train
40,141	10	Title: G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System Abstract: Text-based delivery addresses, as the data foundation for logistics systems, contain abundant and crucial location information. How to effectively encode the delivery address is a core task to boost the performance...	[]	Train
40,142	28	Title: Timely Opportunistic Gossiping in Dense Networks Abstract: We consider gossiping in a fully-connected wireless network consisting of $n$ nodes. The network receives Poisson up-dates from a source, which generates new information. The nodes gossip their available information with the neighboring nodes to maintain...	[ 38631, 24029, 26302, 19911 ]	Train
40,143	27	Title: What Could a Social Mediator Robot Do? Lessons from Real-World Mediation Scenarios Abstract: The use of social robots as instruments for social mediation has been gaining traction in the field of Human-Robot Interaction (HRI). So far, the design of such robots and their behaviors is often driven by technological...	[ 21107 ]	Test
40,144	24	Title: Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Abstract: The neural collapse (NC) phenomenon describes an underlying geometric symmetry for deep neural networks, where both deeply learned features and classifiers converge to a simplex equiangular tight frame. It has been shown that...	[ 19259, 12925 ]	Validation
40,145	24	Title: Towards Democratizing Joint-Embedding Self-Supervised Learning Abstract: Joint Embedding Self-Supervised Learning (JE-SSL) has seen rapid developments in recent years, due to its promise to effectively leverage large unlabeled data. The development of JE-SSL methods was driven primarily by the search for ever in...	[ 13428 ]	Test
40,146	16	Title: MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition Abstract: Dynamic facial expression recognition (DFER) is essential to the development of intelligent and empathetic machines. Prior efforts in this field mainly fall into supervised learning paradigm, which is sever...	[]	Train
40,147	30	Title: Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs Abstract: Knowledge graphs (KGs) have become valuable knowledge resources in various applications, and knowledge graph embedding (KGE) methods have garnered increasing attention in recent years. However, conventional KGE me...	[ 8769, 6438, 37840, 5301, 15293 ]	Validation
40,148	16	Title: Test Time Adaptation for Blind Image Quality Assessment Abstract: While the design of blind image quality assessment (IQA) algorithms has improved significantly, the distribution shift between the training and testing scenarios often leads to a poor performance of these methods at inference time. This motivates ...	[]	Validation
40,149	25	Title: Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations Abstract: Speech restoration (SR) is a task of converting degraded speech signals into high-quality ones. In this study, we propose a robust SR model called Miipher, and apply Miipher to a new SR application: i...	[]	Validation
40,150	30	Title: Synthetically generated text for supervised text analysis Abstract: Supervised text models are a valuable tool for political scientists but present several obstacles to their use, including the expense of hand-labeling documents, the difficulty of retrieving rare relevant documents for annotation, and copyright ...	[ 17190, 33175 ]	Train
40,151	16	Title: RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model Abstract: Satellite imagery generation and super-resolution are pivotal tasks in remote sensing, demanding high-quality, detailed images for accurate analysis and decision-making. In this paper, we propose an innovative and lightweight appro...	[]	Test
40,152	3	Title: ChatGPT: Applications, Opportunities, and Threats Abstract: Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to generate natural la...	[ 33220, 20756, 24886, 1623, 40440, 2428, 38077 ]	Test
40,153	4	Title: An Ethereum-compatible blockchain that explicates and ensures design-level safety properties for smart contracts Abstract: Smart contracts are crucial elements of decentralized technologies, but they face significant obstacles to trustworthiness due to security bugs and trapdoors. To address the core issue, we p...	[]	Train
40,154	30	Title: Prompt Optimization of Large Language Model for Interactive Tasks without Gradient and Demonstrations Abstract: Large language models (LLMs) have demonstrated remarkable language proficiency, but they face challenges when solving interactive tasks independently. Existing methods either rely on gradient access, w...	[ 634, 30364, 13510, 7470 ]	Train
40,155	30	Title: Making Large Language Models Better Reasoners with Alignment Abstract: Reasoning is a cognitive process of using evidence to reach a sound conclusion. The reasoning capability is essential for large language models (LLMs) to serve as the brain of the artificial general intelligence agent. Recent studies reveal t...	[ 3745, 33220, 12741, 21190, 25772, 6797, 7982, 9403, 37742, 12628, 29115, 9014, 9975, 29396, 43641, 19671, 1595 ]	Train
40,156	16	Title: Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images Abstract: This paper takes an important step in bridging the performance gap between DETR and R-CNN for graphical object detection. Existing graphical object detection approaches have enjoyed recent enhancements...	[ 7653 ]	Train
40,157	4	Title: FineIBT: Fine-grain Control-flow Enforcement with Indirect Branch Tracking Abstract: We present the design, implementation, and evaluation of FineIBT: a CFI enforcement mechanism that improves the precision of hardware-assisted CFI solutions, like Intel IBT, by instrumenting program code to reduce the valid/allo...	[]	Train
40,158	30	Title: REFinD: Relation Extraction Financial Dataset Abstract: A number of datasets for Relation Extraction (RE) have been created to aide downstream tasks such as information retrieval, semantic search, question answering and textual entailment. However, these datasets fail to capture financial-domain specific challen...	[ 38233, 36497, 16060, 23836 ]	Train
40,159	16	Title: OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution Abstract: Arbitrary-scale image super-resolution (SR) is often tackled using the implicit neural representation (INR) approach, which relies on a position encoding scheme to im-prove it...	[ 22564 ]	Test
40,160	24	Title: Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network Abstract: nan	[]	Validation
40,161	3	Title: Recent Trends in Cross-Border Data Access by Law Enforcement Agencies Abstract: Access to online data has long been important for law enforcement agencies in their collection of electronic evidence and investigation of crimes. These activities have also long involved cross-border investigations and international...	[]	Test
40,162	23	Title: Better patching using LLM prompting, via Self-Consistency Abstract: Large Language models (LLMs) can be induced to solve non-trivial problems with"few-shot"prompts including illustrative problem-solution examples. Now if the few-shots also include"chain of thought"(CoT) explanations, which are of the form proble...	[ 7132 ]	Test
40,163	36	Title: On the Existence of Envy-Free Allocations Beyond Additive Valuations Abstract: We study the problem of fairly allocating $m$ indivisible items among $n$ agents. Envy-free allocations, in which each agent prefers her bundle to the bundle of every other agent, need not exist in the worst case. However, when agents...	[]	Train
40,164	16	Title: SG-Former: Self-guided Transformer with Evolving Token Reallocation Abstract: Vision Transformer has demonstrated impressive success across various vision tasks. However, its heavy computation cost, which grows quadratically with respect to the token sequence length, largely limits its power in handling large fe...	[ 8164, 13525, 41654, 27477, 26619 ]	Train
40,165	16	Title: An Empirical Study of CLIP for Text-based Person Search Abstract: Text-based Person Search (TBPS) aims to retrieve the person images using natural language descriptions. Recently, Contrastive Language Image Pretraining (CLIP), a universal large cross-modal vision-language pre-training model, has remarkably perfo...	[ 19372, 15772, 557, 42678 ]	Validation
40,166	3	Title: Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors Abstract: Generative AI and large language models hold great promise in enhancing computing education by powering next-generation educational technologies. State-of-the-art models like OpenAI’s ChatGPT [8] and GPT-4 [9] could ...	[ 33220, 5157, 13510, 21487, 31898, 20892, 42173 ]	Train
40,167	16	Title: Vision Transformers with Mixed-Resolution Tokenization Abstract: Vision Transformer models process input images by dividing them into a spatially regular grid of equal-size patches. Conversely, Transformers were originally introduced over natural language sequences, where each token represents a subword – a chun...	[ 24469 ]	Train
40,168	3	Title: UN Handbook on Privacy-Preserving Computation Techniques Abstract: This paper describes privacy-preserving approaches for the statistical analysis. It describes motivations for privacy-preserving approaches for the statistical analysis of sensitive data, presents examples of use cases where such methods may appl...	[]	Train
40,169	17	Title: Ergonomic-Centric Holography: Optimizing Realism, Immersion, and Comfort for Holographic Display Abstract: We introduce ergonomic-centric holography, an algorithmic framework that simultaneously optimizes for realistic incoherent defocus, unrestricted pupil movements in the eye box, and high-order diffractions f...	[]	Train
40,170	16	Title: BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis Abstract: A major bottleneck of interdisciplinary computer vision (CV) research is the lack of a framework that eases the reuse and abstraction of state-of-the-art CV models by CV and non-CV researchers alike. We present...	[]	Train
40,171	24	Title: Deep Labeling of fMRI Brain Networks Abstract: Resting State Networks (RSNs) of the brain extracted from Resting State functional Magnetic Resonance Imaging (RS-fMRI) are used in the pre-surgical planning to guide the neurosurgeon. This is difficult, though, as expert knowledge is required to label each of the R...	[]	Train
40,172	2	Title: Propositional Logics for the Lawvere Quantale Abstract: Lawvere showed that generalised metric spaces are categories enriched over $[0, \infty]$, the quantale of the positive extended reals. The statement of enrichment is a quantitative analogue of being a preorder. Towards seeking a logic for quantitative metri...	[ 23461 ]	Train
40,173	4	Title: LoadLord: Loading on the Fly to Defend Against Code-Reuse Attacks Abstract: Code-reuse attacks have become a kind of common attack method, in which attackers use the existing code in the program to hijack the control flow. Most existing defenses focus on control flow integrity (CFI), code randomization, and soft...	[]	Train
40,174	25	Title: 3D Neural Beamforming for Multi-channel Speech Separation Against Location Uncertainty Abstract: Multi-channel speech separation using speaker's directional information has demonstrated significant gains over blind speech separation. However, it has two limitations. First, substantial performance degradation is ...	[]	Train
40,175	27	Title: An accurate and efficient approach to probabilistic conflict prediction Abstract: Conflict prediction is a vital component of path planning for autonomous vehicles. Prediction methods must be accurate for reliable navigation, but also computationally efficient to enable online path planning. Efficient prediction...	[]	Validation
40,176	37	Title: From BERT to GPT-3 codex Abstract: Large language models have recently advanced the state of the art on many natural language processing benchmarks. The newest generation of models can be applied to a variety of tasks with little to no specialized training. This technology creates various opportunities for appli...	[ 20291, 5461 ]	Train
40,177	25	Title: Pitchclass2vec: Symbolic Music Structure Segmentation with Chord Embeddings Abstract: Structure perception is a fundamental aspect of music cognition in humans. Historically, the hierarchical organization of music into structures served as a narrative device for conveying meaning, creating expectancy, and evokin...	[ 10397 ]	Test

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