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
22,478	4	Title: Evaluating IP Blacklists Effectiveness Abstract: IP blacklists are widely used to increase network security by preventing communications with peers that have been marked as malicious. There are several commercial offerings as well as several free-of-charge blacklists maintained by volunteers on the web. Despite ...	[]	Validation
22,479	16	Title: Markerless 3D human pose tracking through multiple cameras and AI: Enabling high accuracy, robustness, and real-time performance Abstract: Tracking 3D human motion in real-time is crucial for numerous applications across many fields. Traditional approaches involve attaching artificial fiducial objects or sensors...	[ 10525 ]	Validation
22,480	16	Title: Laser: Latent Set Representations for 3D Generative Modeling Abstract: NeRF provides unparalleled fidelity of novel view synthesis: rendering a 3D scene from an arbitrary viewpoint. NeRF requires training on a large number of views that fully cover a scene, which limits its applicability. While these issues can ...	[ 16954, 32234, 38374 ]	Train
22,481	30	Title: Single-Sentence Reader: A Novel Approach for Addressing Answer Position Bias Abstract: Machine Reading Comprehension (MRC) models tend to take advantage of spurious correlations (also known as dataset bias or annotation artifacts in the research community). Consequently, these models may perform the MRC task wit...	[ 6375 ]	Validation
22,482	24	Title: Multi-Layer Attention-Based Explainability via Transformers for Tabular Data Abstract: We propose a graph-oriented attention-based explainability method for tabular data. Tasks involving tabular data have been solved mostly using traditional tree-based machine learning models which have the challenges of feature...	[]	Validation
22,483	16	Title: Diversifying Joint Vision-Language Tokenization Learning Abstract: Building joint representations across images and text is an essential step for tasks such as Visual Question Answering and Video Question Answering. In this work, we find that the representations must not only jointly capture features from both m...	[]	Test
22,484	30	Title: Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases Abstract: Through the use of first name substitution experiments, prior research has demonstrated the tendency of social commonsense reasoning models to systematically exhibit social biases along the dimensio...	[]	Train
22,485	10	Title: Mephisto: A Framework for Portable, Reproducible, and Iterative Crowdsourcing Abstract: We introduce Mephisto, a framework to make crowdsourcing for research more reproducible, transparent, and collaborative. Mephisto provides abstractions that cover a broad set of task designs and data collection workflows, and...	[ 16912, 2724, 38397 ]	Test
22,486	34	Title: Proportionally Fair Matching with Multiple Groups Abstract: The study of fair algorithms has become mainstream in machine learning and artificial intelligence due to its increasing demand in dealing with biases and discrimination. Along this line, researchers have considered fair versions of traditional optimiza...	[ 7321, 11526 ]	Train
22,487	24	Title: Restricted Orthogonal Gradient Projection for Continual Learning Abstract: Continual learning aims to avoid catastrophic forgetting and effectively leverage learned experiences to master new knowledge. Existing gradient projection approaches impose hard constraints on the optimization space for new tasks to mini...	[]	Train
22,488	26	Title: Leveraging Rights of Data Subjects for Social Media Analysis: Studying TikTok via Data Donations Abstract: TikTok is a relatively novel and widely popular media platform. In response to its expanding user base and cultural impact, researchers are turning to study the platform; however, TikTok, like many social m...	[ 25274 ]	Train
22,489	5	Title: brainlife.io: A decentralized and open source cloud platform to support neuroscience research Abstract: Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has...	[]	Train
22,490	27	Title: Pose Graph Optimization for a MAV Indoor Localization Fusing 5GNR TOA with an IMU Abstract: This paper explores the potential of 5G new radio (NR) Time-of-Arrival (TOA) data for indoor drone localization under different scenarios and conditions when fused with inertial measurement unit (IMU) data. Our approach i...	[]	Train
22,491	24	Title: Deep Clustering Survival Machines with Interpretable Expert Distributions Abstract: We develop deep clustering survival machines to simultaneously predict survival information and characterize data heterogeneity that is not typically modeled by conventional survival analysis methods. By modeling timing informati...	[ 8759 ]	Train
22,492	24	Title: An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations Abstract: In the last decade, the scientific community has devolved its attention to the deployment of data-driven approaches in scientific research to provide accurate and reliable analysis of a plethora...	[]	Train
22,493	30	Title: Non-Autoregressive Document-Level Machine Translation (NA-DMT): Exploring Effective Approaches, Challenges, and Opportunities Abstract: Non-autoregressive translation (NAT) models have been extensively investigated within the context of sentence-level machine translation (MT) tasks, demonstrating comparable qual...	[ 26042 ]	Train
22,494	28	Title: Training-Free Energy Beamforming Assisted by Wireless Sensing Abstract: This paper studies the transmit energy beamforming in a multi-antenna wireless power transfer (WPT) system, in which an access point (AP) equipped with a uniform linear array (ULA) sends radio signals to wirelessly charge multiple single-ant...	[]	Test
22,495	16	Title: Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions Abstract: Deep learning has seen rapid growth in recent years and achieved state-of-the-art performance in a wide range of applications. However, training models typically requires expensive and time-consuming collection of...	[ 28288, 20324, 3910, 36136, 28974, 8921 ]	Train
22,496	16	Title: Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics Abstract: nan	[ 7540 ]	Test
22,497	30	Title: Large Language Model Is Semi-Parametric Reinforcement Learning Agent Abstract: Inspired by the insights in cognitive science with respect to human memory and reasoning mechanism, a novel evolvable LLM-based (Large Language Model) agent framework is proposed as REMEMBERER. By equipping the LLM with a long-term ex...	[ 33477, 29549, 9518, 1401, 634, 4027 ]	Train
22,498	23	Title: Software refactoring and rewriting: from the perspective of code transformations Abstract: To refactor already working code while keeping reliability, compatibility and perhaps security, we can borrow ideas from micropass/nanopass compilers. By treating the procedure of software refactoring as composing code tra...	[]	Train
22,499	31	Title: Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages Abstract: Scarcity of data and technological limitations for resource-poor languages in developing countries like India poses a threat to the development of sophisticated NLU systems for healthcare. To assess the current status...	[]	Test
22,500	16	Title: Will your Doorbell Camera still recognize you as you grow old Abstract: Robust authentication for low-power consumer devices such as doorbell cameras poses a valuable and unique challenge. This work explores the effect of age and aging on the performance of facial authentication methods. Two public age datasets,...	[]	Train
22,501	24	Title: Representation Learning via Manifold Flattening and Reconstruction Abstract: This work proposes an algorithm for explicitly constructing a pair of neural networks that linearize and reconstruct an embedded submanifold, from finite samples of this manifold. Our such-generated neural networks, called Flattening Ne...	[ 39939 ]	Train
22,502	28	Title: Generalized Simple Regenerating Codes: Trading Sub-packetization and Fault Tolerance Abstract: Maximum distance separable (MDS) codes have the optimal trade-off between storage efficiency and fault tolerance, which are widely used in distributed storage systems. As typical non-MDS codes, simple regenerating code...	[]	Test
22,503	10	Title: Emotional Intelligence of Large Language Models Abstract: Large Language Models (LLMs) have demonstrated remarkable abilities across numerous disciplines, primarily assessed through tasks in language generation, knowledge utilization, and complex reasoning. However, their alignment with human emotions and values...	[ 40192, 13700, 13510, 38856, 36528, 36179, 12602, 9403, 45695 ]	Train
22,504	24	Title: Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment Abstract: Algorithmic fairness has been a serious concern and received lots of interest in machine learning community. In this paper, we focus on the bipartite ranking scenario, where the instances come from either the positive or negative c...	[]	Test
22,505	30	Title: Probing Physical Reasoning with Counter-Commonsense Context Abstract: In this study, we create a CConS (Counter-commonsense Contextual Size comparison) dataset to investigate how physical commonsense affects the contextualized size comparison task; the proposed dataset consists of both contexts that fit physical...	[ 7239 ]	Train
22,506	10	Title: Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions Abstract: Auto-GPT is an autonomous agent that leverages recent advancements in adapting Large Language Models (LLMs) for decision-making tasks. While there has been a growing interest in Auto-GPT stypled agents, questions remain regarding t...	[ 19747, 37252, 13510, 14920, 16556, 8369, 4916 ]	Train
22,507	3	Title: Simulating the impact of cognitive biases on the mobility transition Abstract: Climate change is becoming more visible, and human adaptation is required urgently to prevent greater damage. One particular domain of adaptation concerns daily mobility (work commute), with a significant portion of these trips being ...	[]	Train
22,508	5	Title: A Performance Study on the Throughput and Latency of Zenoh, MQTT, Kafka, and DDS Abstract: In this study, we compare the performance of the new-generation communication protocol Zenoh with the widely-used MQTT, Kafka, and DDS. Two performance indexes were evaluated, including throughput and latency. A brief desc...	[ 4100, 19014 ]	Train
22,509	4	Title: Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence Abstract: Open source intelligence is a powerful tool for cybersecurity analysts to gather information both for analysis of discovered vulnerabilities and for detecting novel cybersecurity threats and...	[]	Train
22,510	16	Title: Advancing 3D finger knuckle recognition via deep feature learning Abstract: Contactless 3D finger knuckle patterns have emerged as an effective biometric identifier due to its discriminativeness, visibility from a distance, and convenience. Recent research has developed a deep feature collaboration network which...	[]	Train
22,511	4	Title: HoRStify: Sound Security Analysis of Smart Contracts Abstract: The cryptocurrency Ethereum is the most widely used execution platform for smart contracts. Smart contracts are distributed applications, which govern financial assets and, hence, can implement advanced financial instruments, such as decentralized ex...	[]	Train
22,512	10	Title: Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows Abstract: The offline pickup and delivery problem with time windows (PDPTW) is a classical combinatorial optimization problem in the transportation community, which has proven to be very challenging computa...	[]	Train
22,513	28	Title: Information-Theoretic Secure Key Sharing for Wide-Area Mobile Applications Abstract: With the rapid growth of handheld devices in the internet of things (IoT) networks, mobile applications have become ubiquitous in everyday life. As technology is developed, so do also the risks and threats associated with it, es...	[]	Train
22,514	24	Title: A Graph Neural Network Approach to Nanosatellite Task Scheduling: Insights into Learning Mixed-Integer Models Abstract: This study investigates how to schedule nanosatellite tasks more efficiently using Graph Neural Networks (GNN). In the Offline Nanosatellite Task Scheduling (ONTS) problem, the goal is to find ...	[]	Validation
22,515	30	Title: Backdoor Attacks with Input-unique Triggers in NLP Abstract: Backdoor attack aims at inducing neural models to make incorrect predictions for poison data while keeping predictions on the clean dataset unchanged, which creates a considerable threat to current natural language processing (NLP) systems. Existing ba...	[ 9248, 46168, 34076 ]	Train
22,516	4	Title: Privacy Preserving Billing in Local Energy Markets with Imperfect Bid-Offer Fulfillment (Long Version) Abstract: Smart grids are being increasingly deployed worldwide, as they constitute the electricity grid of the future, providing bidirectional communication between households. One of their main potential appl...	[]	Validation
22,517	16	Title: Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space Abstract: In recent years, the task of weakly supervised audio-visual violence detection has gained considerable attention. The goal of this task is to identify violent segments within multimodal data based on video-level labels. Desp...	[]	Train
22,518	27	Title: Text2Motion: From Natural Language Instructions to Feasible Plans Abstract: We propose Text2Motion, a language-based planning framework enabling robots to solve sequential manipulation tasks that require long-horizon reasoning. Given a natural language instruction, our framework constructs both a task- and motio...	[ 3219, 3347, 8214, 21782, 40602, 28827, 12962, 11939, 19492, 45736, 29612, 33455, 40368, 15031, 5816, 35895, 40377, 20797, 12606, 40510, 26562, 8138, 44106, 6104, 1496, 6748, 13664, 30049, 22115, 23397, 7657, 5104, 29040, 13564 ]	Train
22,519	16	Title: Optical flow estimation from event-based cameras and spiking neural networks Abstract: Event-based cameras are raising interest within the computer vision community. These sensors operate with asynchronous pixels, emitting events, or “spikes”, when the luminance change at a given pixel since the last event surpa...	[ 9784, 12144 ]	Train
22,520	2	Title: Second-Order Hyperproperties Abstract: We introduce Hyper$^2$LTL, a temporal logic for the specification of hyperproperties that allows for second-order quantification over sets of traces. Unlike first-order temporal logics for hyperproperties, such as HyperLTL, Hyper$^2$LTL can express complex epistemic propert...	[ 23878 ]	Train
22,521	30	Title: Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets Abstract: Electronic medical records (EMRs) are stored in relational databases. It can be challenging to access the required information if the user is unfamiliar with the database schema or general database fundamentals. Hence, ...	[]	Train
22,522	24	Title: Combining Thermodynamics-based Model of the Centrifugal Compressors and Active Machine Learning for Enhanced Industrial Design Optimization Abstract: The design process of centrifugal compressors requires applying an optimization process which is computationally expensive due to complex analytical equations unde...	[]	Train
22,523	24	Title: Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models Abstract: The diversity of terrestrial vascular plants plays a key role in maintaining the stability and productivity of ecosystems. Monitoring species compositional diversit...	[]	Train
22,524	3	Title: Augmented Datasheets for Speech Datasets and Ethical Decision-Making Abstract: Speech datasets are crucial for training Speech Language Technologies (SLT); however, the lack of diversity of the underlying training data can lead to serious limitations in building equitable and robust SLT products, especially alon...	[ 44285, 25054 ]	Train
22,525	30	Title: MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis Abstract: Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple ABSA subtasks to end-to-end multi-elem...	[ 8986, 42870, 8894, 46175 ]	Validation
22,526	23	Title: Helping Code Reviewer Prioritize: Pinpointing Personal Data and its Processing Abstract: Ensuring compliance with the General Data Protection Regulation (GDPR) is a crucial aspect of software development. This task, due to its time-consuming nature and requirement for specialized knowledge, is often deferred or ...	[ 26990 ]	Train
22,527	23	Title: Documenting Bioinformatics Software Via Reverse Engineering Abstract: Documentation is one of the most neglected activities in Software Engineering, although it is an important method of assuring quality and understanding. Bioinformatics software is generally written by researchers from fields other than Compute...	[]	Validation
22,528	37	Title: TransEdge: Supporting Efficient Read Queries Across Untrusted Edge Nodes Abstract: We propose Transactional Edge (TransEdge), a distributed transaction processing system for untrusted environments such as edge computing systems. What distinguishes TransEdge is its focus on efficient support for read-only transac...	[]	Train
22,529	16	Title: SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Abstract: Existing shadow detection datasets often contain missing or mislabeled shadows, which can hinder the performance of deep learning models trained directly on such data. To address this issue, we propose SILT, the ...	[]	Train
22,530	16	Title: Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation Abstract: Egocentric gaze anticipation serves as a key building block for the emerging capability of Augmented Reality. Notably, gaze behavior is driven by both visual cues and audio signals during daily activities. Motivated by this obser...	[ 8854 ]	Train
22,531	16	Title: NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations Abstract: Generalizable Neural Radiance Fields (GNeRF) are one of the most promising real-world solutions for novel view synthesis, thanks to their cross-scene generalization capability and thus the po...	[ 2593 ]	Train
22,532	10	Title: AI and the creative realm: A short review of current and future applications Abstract: This study explores the concept of creativity and artificial intelligence (AI) and their recent integration. While AI has traditionally been perceived as incapable of generating new ideas or creating art, the development of mo...	[ 30026 ]	Validation
22,533	24	Title: On Computationally Efficient Learning of Exponential Family Distributions Abstract: We consider the classical problem of learning, with arbitrary accuracy, the natural parameters of a $k$-parameter truncated \textit{minimal} exponential family from i.i.d. samples in a computationally and statistically efficient ...	[]	Train
22,534	27	Title: Improving Reinforcement Learning Training Regimes for Social Robot Navigation Abstract: In order for autonomous mobile robots to navigate in human spaces, they must abide by our social norms. Reinforcement learning (RL) has emerged as an effective method to train robot navigation policies that are able to respec...	[]	Train
22,535	30	Title: Differentiable Instruction Optimization for Cross-Task Generalization Abstract: Instruction tuning has been attracting much attention to achieve generalization ability across a wide variety of tasks. Although various types of instructions have been manually created for instruction tuning, it is still unclear wha...	[]	Test
22,536	13	Title: Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks Abstract: Spiking neural networks (SNNs) are emerging as an energy-efficient alternative to traditional artificial neural networks (ANNs) due to their unique spike-based event-driven nature. Coding is crucial in SNNs as it...	[ 5960, 14833, 30354, 45868 ]	Train
22,537	24	Title: All models are local: time to replace external validation with recurrent local validation Abstract: External validation is often recommended to ensure the generalizability of ML models. However, it neither guarantees generalizability nor equates to a model's clinical usefulness (the ultimate goal of any clinical...	[]	Validation
22,538	27	Title: Stable Contact Guaranteeing Motion/Force Control for an Aerial Manipulator on an Arbitrarily Tilted Surface Abstract: This study aims to design a motion/force controller for an aerial manipulator which guarantees the tracking of time-varying motion/force trajectories as well as the stability during the transitio...	[]	Train
22,539	24	Title: Characterizing Speed Performance of Multi-Agent Reinforcement Learning Abstract: Multi-Agent Reinforcement Learning (MARL) has achieved significant success in large-scale AI systems and big-data applications such as smart grids, surveillance, etc. Existing advancements in MARL algorithms focus on improving the r...	[]	Train
22,540	24	Title: Delving into the Adversarial Robustness of Federated Learning Abstract: In Federated Learning (FL), models are as fragile as centrally trained models against adversarial examples. However, the adversarial robustness of federated learning remains largely unexplored. This paper casts light on the challenge of adve...	[ 23777, 39343, 30320, 24951, 27896 ]	Train
22,541	10	Title: Explaining RL Decisions with Trajectories Abstract: Explanation is a key component for the adoption of reinforcement learning (RL) in many real-world decision-making problems. In the literature, the explanation is often provided by saliency attribution to the features of the RL agent's state. In this work, we pr...	[ 37391 ]	Train
22,542	16	Title: Balancing Logit Variation for Long-Tailed Semantic Segmentation Abstract: Semantic segmentation usually suffers from a long-tail data distribution. Due to the imbalanced number of samples across categories, the features of those tail classes may get squeezed into a narrow area in the feature space. Towards a bal...	[ 645, 34355, 33523, 26359, 38360 ]	Train
22,543	16	Title: Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning Abstract: In recent years, the demand for dental implants has surged, driven by their high success rates and esthetic advantages. However, accurate prediction of missing teeth for precise digital implant planning rema...	[ 33973 ]	Train
22,544	16	Title: Knowledge-augmented Few-shot Visual Relation Detection Abstract: Visual Relation Detection (VRD) aims to detect relationships between objects for image understanding. Most existing VRD methods rely on thousands of training samples of each relationship to achieve satisfactory performance. Some recent papers tackl...	[]	Train
22,545	4	Title: Proof of Reputation Abstract: We present the new mining protocol Proof-of-Reputation (PoR) for decentralized Proof-of-Work (PoW) blockchains, in particular for Bitcoin. PoR combines the classical PoW with the new ingredient of cryptographic reputation. The same level of security compared to pure PoW can be achie...	[]	Train
22,546	28	Title: Predicting the Channel Access of Bluetooth Low Energy Abstract: —Bluetooth Low Energy (BLE) is one of the key enablers for low-power and low-cost applications in consumer electronics and the Internet of Things. The latest features such as audio and direction ﬁnding will introduce more and more devices that rely ...	[]	Train
22,547	30	Title: Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation Abstract: New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present Xiezhi, the most comprehensive evaluation suite designed to assess holistic domai...	[ 40192, 13700, 7695, 6942, 37791, 1575, 33836, 37806, 12602, 29375, 33220, 13510, 23502, 6353, 36179, 35545, 26974, 41828, 31218, 28920 ]	Train
22,548	28	Title: Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information Abstract: Conventional beamforming methods for intelligent reflecting surfaces (IRSs) or reconfigurable intelligent surfaces (RISs) typically entail the full channel state information (CSI). However, the computational cost of chann...	[ 19115, 15980 ]	Train
22,549	16	Title: An All Deep System for Badminton Game Analysis Abstract: The CoachAI Badminton 2023 Track1 initiative aim to automatically detect events within badminton match videos. Detecting small objects, especially the shuttlecock, is of quite importance and demands high precision within the challenge. Such detection is cr...	[]	Train
22,550	30	Title: Experimenting with UD Adaptation of an Unsupervised Rule-based Approach for Sentiment Analysis of Mexican Tourist Texts Abstract: This paper summarizes the results of experimenting with Universal Dependencies (UD) adaptation of an Unsupervised, Compositional and Recursive (UCR) rule-based approach for Sentiment ...	[]	Validation
22,551	10	Title: DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics Abstract: Functional brain dynamics is supported by parallel and overlapping functional network modes that are associated with specific neural circuits. Decomposing these network modes from fMRI data and fin...	[]	Train
22,552	24	Title: Towards Accelerated Model Training via Bayesian Data Selection Abstract: Mislabeled, duplicated, or biased data in real-world scenarios can lead to prolonged training and even hinder model convergence. Traditional solutions prioritizing easy or hard samples lack the flexibility to handle such a variety simultane...	[]	Train
22,553	5	Title: Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing Abstract: Mobile Edge Computing (MEC) has been a promising paradigm for communicating and edge processing of data on the move. We aim to employ Federated Learning (FL) and prominent features of blockchain into MEC architecture such...	[ 14273, 28250 ]	Validation
22,554	4	Title: CERMET: Coding for Energy Reduction with Multiple Encryption Techniques - It's easy being green Abstract: This paper presents CERMET, an energy-efficient hardware architecture designed for hardware-constrained cryptosystems. CERMET employs a base cryptosystem in conjunction with network coding to provide both in...	[ 17654 ]	Train
22,555	24	Title: DeepMem: ML Models as storage channels and their (mis-)applications Abstract: Machine learning (ML) models are overparameterized to support generality and avoid overfitting. Prior works have shown that these additional parameters can be used for both malicious (e.g., hiding a model covertly within a trained mode...	[]	Train
22,556	24	Title: Joint Representations for Reinforcement Learning with Multiple Sensors Abstract: Combining inputs from multiple sensor modalities effectively in reinforcement learning (RL) is an open problem. While many self-supervised representation learning approaches exist to improve performance and sample complexity for ima...	[ 22816, 13564 ]	Validation
22,557	28	Title: RECIPE: Rateless Erasure Codes Induced by Protocol-Based Encoding Abstract: LT (Luby transform) codes are a celebrated family of rateless erasure codes (RECs). Most of existing LT codes were designed for applications in which a centralized encoder possesses all message blocks and is solely responsible for encodi...	[]	Test
22,558	16	Title: Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks Abstract: Deep learning has been rapidly employed in many applications revolutionizing many industries, but it is known to be vulnerable to adversarial attacks. Such attacks pose a serious threat to deep learn...	[ 3917, 13071 ]	Train
22,559	4	Title: Publicly Verifiable Deletion from Minimal Assumptions Abstract: We present a general compiler to add the publicly verifiable deletion property for various cryptographic primitives including public key encryption, attribute-based encryption, and quantum fully homomorphic encryption. Our compiler only uses one-way...	[]	Validation
22,560	4	Title: Your DRM Can Watch You Too: Exploring the Privacy Implications of Browsers (mis)Implementations of Widevine EME Abstract: Thanks to HTML5, users can now view videos on Web browsers without installing plug-ins or relying on specific devices. In 2017, W3C published Encrypted Media Extensions (EME) as the first off...	[]	Test
22,561	16	Title: ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance Abstract: Understanding 3D scenes from multi-view inputs has been proven to alleviate the view discrepancy issue in 3D visual grounding. However, existing methods normally neglect the view cues embedded in the text ...	[ 34532, 18183, 42679, 4362, 16524, 33680, 35826, 8084, 15541, 4919 ]	Test
22,562	16	Title: Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation Abstract: Video segmentation aims to segment and track every pixel in diverse scenarios accurately. In this paper, we present Tube-Link, a versatile framework that addresses multiple core tasks of video segmentation with a unified archit...	[ 5024, 30881, 17097, 24108, 43375, 41109, 11894, 33944, 39737, 8506 ]	Train
22,563	9	Title: Streaming Zero-Knowledge Proofs Abstract: We initiate the study of zero-knowledge proofs for data streams. Streaming interactive proofs (SIPs) are well-studied protocols whereby a space-bounded algorithm with one-pass access to a massive stream of data communicates with a powerful but untrusted prover to verify ...	[]	Test
22,564	16	Title: Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion Abstract: Multispectral and Hyperspectral Image Fusion (MHIF) is a practical task that aims to fuse a high-resolution multispectral image (HR-MSI) and a low-resolution hyperspectral image (LR-HSI) of the same scene to obtain...	[ 40159 ]	Train
22,565	16	Title: Hyperspectral Image Compression Using Implicit Neural Representations Abstract: Hyperspectral images, which record the electro-magnetic spectrum for a pixel in the image of a scene, often store hundreds of channels per pixel and contain an order of magnitude more information than a similarly-sized RBG color imag...	[]	Validation
22,566	24	Title: Evolution of K-means solution landscapes with the addition of dataset outliers and a robust clustering comparison measure for their analysis Abstract: The $K$-means algorithm remains one of the most widely-used clustering methods due to its simplicity and general utility. The performance of $K$-means depends upo...	[]	Validation
22,567	16	Title: Interpretation on Multi-modal Visual Fusion Abstract: In this paper, we present an analytical framework and a novel metric to shed light on the interpretation of the multimodal vision community. Our approach involves measuring the proposed semantic variance and feature similarity across modalities and levels, an...	[]	Train
22,568	24	Title: Convex Bounds on the Softmax Function with Applications to Robustness Verification Abstract: The softmax function is a ubiquitous component at the output of neural networks and increasingly in intermediate layers as well. This paper provides convex lower bounds and concave upper bounds on the softmax function, w...	[ 22186 ]	Train
22,569	7	Title: Kirchhoff-Love shell representation and analysis using triangle configuration B-splines Abstract: This paper presents the application of triangle configuration B-splines (TCB-splines) for representing and analyzing the Kirchhoff-Love shell in the context of isogeometric analysis (IGA). The Kirchhoff-Love shell f...	[ 8364 ]	Test
22,570	9	Title: Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source Abstract: We consider the influence maximization problem over a temporal graph, where there is a single fixed source. We deviate from the standard model of influence maximization, where the goal is to cho...	[]	Train
22,571	24	Title: Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE Abstract: The global COVID-19 pandemic has caused more than six million deaths worldwide. Medicalized hotels were established in Taiwan as quarantine facilities for COVID-19 patients with no or mild symp...	[]	Test
22,572	30	Title: Knowledge-enhanced Agents for Interactive Text Games Abstract: Communication via natural language is a crucial aspect of intelligence, and it requires computational models to learn and reason about world concepts, with varying levels of supervision. While there has been significant progress made on fully-supervi...	[ 28744, 4034, 7470 ]	Test
22,573	24	Title: Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability. Abstract: Gaussian process (GP) is a Bayesian model which provides several advantages for regression tasks in machine learning such as reliable quantit...	[]	Train
22,574	30	Title: Advancing Beyond Identification: Multi-bit Watermark for Language Models Abstract: This study aims to proactively tackle misuse of large language models beyond identification of machine-generated text. While existing methods focus on detection, some malicious misuses demand tracing the adversary user for counter...	[ 29891, 12614, 1416, 22476, 25367, 35415, 38235, 61 ]	Validation
22,575	30	Title: KGConv, a Conversational Corpus grounded in Wikidata Abstract: We present KGConv, a large, conversational corpus of 71k conversations where each question-answer pair is grounded in a Wikidata fact. Conversations contain on average 8.6 questions and for each Wikidata fact, we provide multiple variants (12 on aver...	[ 1624 ]	Train
22,576	10	Title: Leveraging Contextual Counterfactuals Toward Belief Calibration Abstract: Beliefs and values are increasingly being incorporated into our AI systems through alignment processes, such as carefully curating data collection principles or regularizing the loss function used for training. However, the meta-alignment ...	[]	Train
22,577	24	Title: Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra Abstract: Analysis of electrochemical impedance spectroscopy (EIS) data for electrochemical systems often consists of defining an equivalent circuit model (ECM) using expert knowledge and then...	[]	Train

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