node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
36,378 | 4 | Title: An overview of limitations and approaches in identity management
Abstract: Identity and access management (I&AM) is the umbrella term for managing users and their permissions. It is required for users to access different services. These services can either be provided from their home organization, like a company... | [] | Validation |
36,379 | 30 | Title: Native Language Identification with Big Bird Embeddings
Abstract: Native Language Identification (NLI) intends to classify an author's native language based on their writing in another language. Historically, the task has heavily relied on time-consuming linguistic feature engineering, and transformer-based NLI ... | [] | Train |
36,380 | 27 | Title: Proactive Risk Navigation System for Real-World Urban Intersections
Abstract: We consider the problem of intelligently navigating through complex traffic. Urban situations are defined by the underlying map structure and special regulatory objects of e.g. a stop line or crosswalk. Thereon dynamic vehicles (cars, ... | [
20458,
37347
] | Train |
36,381 | 30 | Title: DocPrompt: Large-scale continue pretrain for zero-shot and few-shot document question answering
Abstract: In this paper, we propose Docprompt for document question answering tasks with powerful zero-shot and few-shot performance. We proposed a novel weakly supervised data generation method, a novel multl-stage t... | [] | Train |
36,382 | 16 | Title: ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing
Abstract: Zero-shot capability has been considered as a new revolution of deep learning, letting machines work on tasks without curated training data. As a good start and the only existing outcome of zero-shot image captioning (IC), Zero... | [
34502,
23979,
30641,
19442,
19123,
29527,
14974
] | Train |
36,383 | 3 | Title: Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI
Abstract: Generative Artificial Intelligence (AI) has seen mainstream adoption lately, especially in the form of consumer-facing, open-ended, text and image generating models. However, the use of such... | [
19521,
44741,
22476,
45104,
27059,
42586,
35580
] | Test |
36,384 | 27 | Title: RangedIK: An Optimization-based Robot Motion Generation Method for Ranged-Goal Tasks
Abstract: Generating feasible robot motions in real-time requires achieving multiple tasks (i.e., kinematic requirements) simultaneously. These tasks can have a specific goal, a range of equally valid goals, or a range of accept... | [
23496,
3474
] | Train |
36,385 | 16 | Title: A Range-Null Space Decomposition Approach for Fast and Flexible Spectral Compressive Imaging
Abstract: We present RND-SCI, a novel framework for compressive hyperspectral image (HSI) reconstruction. Our framework decomposes the reconstructed object into range-space and null-space components, where the range-spac... | [
14737
] | Train |
36,386 | 2 | Title: Positionality of mean-payoff games on infinite graphs
Abstract: This short note establishes positionality of mean-payoff games over infinite game graphs by constructing a well-founded monotone universal graph. | [] | Train |
36,387 | 24 | Title: An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
Abstract: The Rashomon Effect describes the following phenomenon: for a given dataset there may exist many models with equally good performance but with different solution strategies. The Rashomon Effect has implications for Explainab... | [] | Train |
36,388 | 16 | Title: Synthetic outlier generation for anomaly detection in autonomous driving
Abstract: Anomaly detection, or outlier detection, is a crucial task in various domains to identify instances that significantly deviate from established patterns or the majority of data. In the context of autonomous driving, the identifica... | [] | Train |
36,389 | 27 | Title: What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments
Abstract: Humans use their knowledge of common house layouts obtained from previous experiences to predict nearby rooms while navigating in new environments. This greatly helps them navigate previous... | [] | Validation |
36,390 | 36 | Title: SWDPM: A Social Welfare-Optimized Data Pricing Mechanism
Abstract: Data trading has been hindered by privacy concerns associated with user-owned data and the infinite reproducibility of data, making it challenging for data owners to retain exclusive rights over their data once it has been disclosed. Traditional ... | [
1810,
30071
] | Validation |
36,391 | 31 | Title: Overview of the TREC 2022 Fair Ranking Track
Abstract: The TREC Fair Ranking Track aims to provide a platform for participants to develop and evaluate novel retrieval algorithms that can provide a fair exposure to a mixture of demographics or attributes, such as ethnicity, that are represented by relevant docume... | [
34291,
31902
] | Train |
36,392 | 30 | Title: MoT: Pre-thinking and Recalling Enable ChatGPT to Self-Improve with Memory-of-Thoughts
Abstract: Large Language Models have shown impressive abilities on various tasks. However, fundamentally improving them depends on high-quality datasets or computationally expensive fine-tuning. On the contrary, human can easi... | [
7936,
40192,
33220,
13700,
29419,
15692,
19405,
6353,
44019,
33172,
38262,
634,
43327
] | Validation |
36,393 | 16 | Title: MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
Abstract: This paper proposes a novel transformer-based framework that aims to enhance weakly supervised semantic segmentation (WSSS) by generating accurate class-specific object localization maps as pseudo labels. Building upo... | [
23320,
33832
] | Train |
36,394 | 17 | Title: MAD-FC: A Fold Change Visualization with Readability, Proportionality, and Symmetry
Abstract: We propose a fold change visualization that demonstrates a combination of properties from log and linear plots of fold change. A useful fold change visualization can exhibit: (1) readability, where fold change values ar... | [] | Test |
36,395 | 6 | Title: IoT based Personal Voice Assistant
Abstract: Today, technological advancement is increasing day by day. Earlier, there was only a computer system in which we could only perform a few tasks. But now, machine learning, artificial intelligence, deep learning, and a few more technologies have made computer systems s... | [] | Train |
36,396 | 2 | Title: Strategies as Resource Terms, and their Categorical Semantics
Abstract: As shown by Tsukada and Ong, normal (extensional) simply-typed resource terms correspond to plays in Hyland-Ong games, quotiented by Melli\`es' homotopy equivalence. Though inspiring, their proof is indirect, relying on the injectivity of th... | [] | Train |
36,397 | 24 | Title: Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
Abstract: The graph colouring problem consists of assigning labels, or colours, to the vertices of a graph such that no two adjacent vertices share the same colour. In this work we investigate whether deep reinforcement learnin... | [] | Validation |
36,398 | 24 | Title: Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
Abstract: Predicting node labels on a given graph is a widely studied problem with many applications, including community detection and molecular graph prediction. This paper considers predicting multiple node labeling functions on graphs... | [
21731,
36963
] | Train |
36,399 | 24 | Title: On the Value of Stochastic Side Information in Online Learning
Abstract: We study the effectiveness of stochastic side information in deterministic online learning scenarios. We propose a forecaster to predict a deterministic sequence where its performance is evaluated against an expert class. We assume that cer... | [] | Train |
36,400 | 16 | Title: FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping
Abstract: This work proposes a novel face-swapping framework FlowFace++, utilizing explicit semantic flow supervision and end-to-end architecture to facilitate shape-aware face-swapping. Specifically, our work pretrains a facial shape discrim... | [] | Validation |
36,401 | 26 | Title: Classification of vertices on social networks by multiple approaches
Abstract: Due to the advent of the expressions of data other than tabular formats, the topological compositions which make samples interrelated came into prominence. Analogically, those networks can be interpreted as social connections, dataflo... | [] | Train |
36,402 | 30 | Title: Content Reduction, Surprisal and Information Density Estimation for Long Documents
Abstract: Many computational linguistic methods have been proposed to study the information content of languages. We consider two interesting research questions: 1) how is information distributed over long documents, and 2) how do... | [] | Train |
36,403 | 16 | Title: NeRF applied to satellite imagery for surface reconstruction
Abstract: We present Surf-NeRF, a modified implementation of the recently introduced Shadow Neural Radiance Field (S-NeRF) model. This method is able to synthesize novel views from a sparse set of satellite images of a scene, while accounting for the v... | [] | Train |
36,404 | 27 | Title: Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks
Abstract: We consider a service robot in a household environment given a sequence of high-level tasks one at a time. Most existing task planners, lacking knowledge of what they may be asked to do next, solve each tas... | [] | Train |
36,405 | 27 | Title: Advancing Robot Autonomy for Long-Horizon Tasks
Abstract: Autonomous robots have real-world applications in diverse fields, such as mobile manipulation and environmental exploration, and many such tasks benefit from a hands-off approach in terms of human user involvement over a long task horizon. However, the le... | [] | Train |
36,406 | 24 | Title: Measuring The Impact Of Programming Language Distribution
Abstract: Current benchmarks for evaluating neural code models focus on only a small subset of programming languages, excluding many popular languages such as Go or Rust. To ameliorate this issue, we present the BabelCode framework for execution-based eva... | [
34208,
18786,
16911,
25522,
22578,
29396,
14869,
27292
] | Train |
36,407 | 27 | Title: Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance
Abstract: Robots assist humans in various activities, from daily living public service (e.g., airports and restaurants), and to collaborative manufacturing. However, it is risky to assume that the knowledge and stra... | [] | Train |
36,408 | 16 | Title: Combining OCR Models for Reading Early Modern Printed Books
Abstract: In this paper, we investigate the usage of fine-grained font recognition on OCR for books printed from the 15th to the 18th century. We used a newly created dataset for OCR of early printed books for which fonts are labeled with bounding boxes... | [
12138
] | Train |
36,409 | 16 | Title: Lighting up NeRF via Unsupervised Decomposition and Enhancement
Abstract: Neural Radiance Field (NeRF) is a promising approach for synthesizing novel views, given a set of images and the corresponding camera poses of a scene. However, images photographed from a low-light scene can hardly be used to train a NeRF ... | [] | Train |
36,410 | 16 | Title: Random Position Adversarial Patch for Vision Transformers
Abstract: Previous studies have shown the vulnerability of vision transformers to adversarial patches, but these studies all rely on a critical assumption: the attack patches must be perfectly aligned with the patches used for linear projection in vision ... | [
22413
] | Test |
36,411 | 24 | Title: Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs
Abstract: Training data attribution (TDA) methods offer to trace a model's prediction on any given example back to specific influential training examples. Existing approaches do so by assigning a scalar influence score... | [
12485,
44296,
1581,
21011,
10581,
22684
] | Validation |
36,412 | 5 | Title: Behaviorally Typed State Machines in TypeScript for Heterogeneous Swarms
Abstract: A heterogeneous swarm system is a distributed system where participants come and go, communication topology may change at any time, data replication is asynchronous and partial, and local agents behave differently between nodes. T... | [
15790
] | Test |
36,413 | 4 | Title: Your Battery Is a Blast! Safeguarding Against Counterfeit Batteries with Authentication
Abstract: Lithium-ion (Li-ion) batteries are the primary power source in various applications due to their high energy and power density. Their market was estimated to be up to 48 billion U.S. dollars in 2022. However, the wi... | [
16410
] | Train |
36,414 | 24 | Title: Thompson Sampling under Bernoulli Rewards with Local Differential Privacy
Abstract: This paper investigates the problem of regret minimization for multi-armed bandit (MAB) problems with local differential privacy (LDP) guarantee. Given a fixed privacy budget $\epsilon$, we consider three privatizing mechanisms u... | [] | Test |
36,415 | 31 | Title: Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach
Abstract: Ranking is at the core of many artificial intelligence (AI) applications, including search engines, recommender systems, etc. Modern ranking systems are often constructed with learning-to-rank (LTR) mode... | [
34291
] | Test |
36,416 | 30 | Title: Constructing and Interpreting Causal Knowledge Graphs from News
Abstract: Many financial jobs rely on news to learn about causal events in the past and present, to make informed decisions and predictions about the future. With the ever-increasing amount of news available online, there is a need to automate the e... | [] | Train |
36,417 | 16 | Title: MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning
Abstract: With the growth of computer vision applications, deep learning, and edge computing contribute to ensuring practical collaborative intelligence (CI) by distributing the workload among edge devices and the cloud. Ho... | [] | Test |
36,418 | 16 | Title: Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
Abstract: Transfer learning is a critical technique in training deep neural networks for the challenging medical image segmentation task that requires enormous resources. With the abundance of medical image data, m... | [] | Train |
36,419 | 16 | Title: Enhancement of theColor Image Compression Using a New Algorithm based on Discrete Hermite Wavelet Transform
Abstract: The Internet has turned the entire world into a small village;this is because it has made it possible to share millions of images and videos. However, sending and receiving a huge amount of data ... | [] | Validation |
36,420 | 16 | Title: MolGrapher: Graph-based Visual Recognition of Chemical Structures
Abstract: The automatic analysis of chemical literature has immense potential to accelerate the discovery of new materials and drugs. Much of the critical information in patent documents and scientific articles is contained in figures, depicting t... | [] | Train |
36,421 | 24 | Title: Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning
Abstract: Model-based reinforcement learning (MBRL) with real-time planning has shown great potential in locomotion and manipulation control tasks. However, the existing planning methods, such as the Cross-Entropy Me... | [] | Train |
36,422 | 16 | Title: Enhanced Stable View Synthesis
Abstract: We introduce an approach to enhance the novel view synthesis from images taken from a freely moving camera. The introduced approach focuses on outdoor scenes where recovering accurate geometric scaffold and camera pose is challenging, leading to inferior results using the... | [
3938
] | Test |
36,423 | 24 | Title: Spacecraft anomaly detection with attention temporal convolution networks
Abstract: nan | [
20368,
22226
] | Validation |
36,424 | 24 | Title: Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Abstract: Recent algorithms of time-series anomaly detection have been evaluated by applying a Point Adjustment (PA) protocol. However, the PA protocol has a problem of overestimating the performance of the detection algorithms because it o... | [] | Train |
36,425 | 30 | Title: NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
Abstract: How can we interpret and retrieve medical evidence to support clinical decisions? Clinical trial reports (CTR) amassed over the years contain indispensable information for the development of personalized medicine. However, it ... | [] | Train |
36,426 | 4 | Title: Backdoor Attacks against Voice Recognition Systems: A Survey
Abstract: Voice Recognition Systems (VRSs) employ deep learning for speech recognition and speaker recognition. They have been widely deployed in various real-world applications, from intelligent voice assistance to telephony surveillance and biometric... | [] | Train |
36,427 | 24 | Title: Evaluating Self-Supervised Learning via Risk Decomposition
Abstract: Self-supervised learning (SSL) pipelines differ in many design choices such as the architecture, augmentations, or pretraining data. Yet SSL is typically evaluated using a single metric: linear probing on ImageNet. This does not provide much in... | [] | Train |
36,428 | 34 | Title: Lower Bounds for Pseudo-Deterministic Counting in a Stream
Abstract: Many streaming algorithms provide only a high-probability relative approximation. These two relaxations, of allowing approximation and randomization, seem necessary -- for many streaming problems, both relaxations must be employed simultaneousl... | [
12311
] | Validation |
36,429 | 27 | Title: Deep Normalizing Flows for State Estimation
Abstract: Safe and reliable state estimation techniques are a critical component of next-generation robotic systems. Agents in such systems must be able to reason about the intentions and trajectories of other agents for safe and efficient motion planning. However, cla... | [] | Validation |
36,430 | 28 | Title: Two-Stage Hierarchical Beam Training for Near-Field Communications
Abstract: Extremely large-scale array (XL-array) has emerged as a promising technology to improve the spectrum efficiency and spatial resolution of future wireless systems. However, the huge number of antennas renders the users more likely to loc... | [
9958,
1246,
45407
] | Validation |
36,431 | 30 | Title: PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction
Abstract: Unsupervised Relation Extraction (RE) aims to identify relations between entities in text, without having access to labeled data during training. This setting is particularly relevant for domain specific RE where no annotated d... | [
1448
] | Test |
36,432 | 27 | Title: Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Spherical Decomposition
Abstract: This work proposes an autonomous multi-robot exploration pipeline that coordinates the behaviors of robots in an indoor environment composed of multiple rooms. Contrary to simple frontier-based exploration appr... | [] | Test |
36,433 | 2 | Title: Paraconsistent Transition Systems
Abstract: Often in Software Engineering, a modeling formalism has to support scenarios of inconsistency in which several requirements either reinforce or contradict each other. Paraconsistent transition systems are proposed in this paper as one such formalism: states evolve thro... | [] | Train |
36,434 | 3 | Title: Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives
Abstract: Open Artificial Intelligence (Open source AI) collaboratives offer alternative pathways for how AI can be developed beyond well-resourced technology companies and who can be a part of the process. To understand how and w... | [
37330,
2650
] | Test |
36,435 | 24 | Title: MM Algorithms to Estimate Parameters in Continuous-time Markov Chains
Abstract: Continuous-time Markov chains (CTMCs) are popular modeling formalism that constitutes the underlying semantics for real-time probabilistic systems such as queuing networks, stochastic process algebras, and calculi for systems biology... | [] | Train |
36,436 | 20 | Title: Towards Stratified Space Learning: 2-complexes
Abstract: In this paper, we consider a simple class of stratified spaces -- 2-complexes. We present an algorithm that learns the abstract structure of an embedded 2-complex from a point cloud sampled from it. We use tools and inspiration from computational geometry,... | [] | Train |
36,437 | 6 | Title: Towards Autocomplete Strategies for Visualization Construction
Abstract: Constructive visualization uses physical data units - tokens - to enable non-experts to create personalized visualizations engagingly. However, its physical nature limits efficiency and scalability. One potential solution to address this is... | [] | Validation |
36,438 | 23 | Title: Benchmarking scalability of stream processing frameworks deployed as event-driven microservices in the cloud
Abstract: Event-driven microservices are an emerging architectural style for data-intensive software systems. In such systems, stream processing frameworks such as Apache Flink, Apache Kafka Streams, Apac... | [] | Train |
36,439 | 2 | Title: Skolem and Positivity Completeness of Ergodic Markov Chains
Abstract: We consider the following decision problems: given a finite, rational Markov chain, source and target states, and a rational threshold, does there exist an n such that the probability of reaching the target from the source in n steps is equal ... | [] | Train |
36,440 | 16 | Title: Direct initial orbit determination
Abstract: Initial orbit determination (IOD) is an important early step in the processing chain that makes sense of and reconciles the multiple optical observations of a resident space object. IOD methods generally operate on line-of-sight (LOS) vectors extracted from images of ... | [] | Test |
36,441 | 36 | Title: EFX Exists for Four Agents with Three Types of Valuations
Abstract: In this paper, we address the problem of determining an envy-free allocation of indivisible goods among multiple agents. EFX, which stands for envy-free up to any good, is a well-studied problem that has been shown to exist for specific scenario... | [
18609,
24221
] | Validation |
36,442 | 24 | Title: Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
Abstract: Decentralized stochastic gradient descent (D-SGD) allows collaborative learning on massive devices simultaneously without the control of a central server. However, existing theories claim that decentralization invariably undermin... | [
6241,
16005,
14949,
15129,
24346,
18395,
4095
] | Validation |
36,443 | 24 | Title: How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits
Abstract: Some of the most successful knowledge graph embedding (KGE) models for link prediction -- CP, RESCAL, TuckER, ComplEx -- can be interpreted as energy-based models. Under this perspective they are not amenable ... | [
2519
] | Validation |
36,444 | 27 | Title: Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning
Abstract: Tactile sensing in soft robots remains particularly challenging because of the coupling between contact and deformation information which the sensor is subject to during actuation and interaction with the en... | [] | Test |
36,445 | 30 | Title: Geotechnical Parrot Tales (GPT): Harnessing Large Language Models in geotechnical engineering
Abstract: The widespread adoption of large language models (LLMs), such as OpenAI's ChatGPT, could revolutionize various industries, including geotechnical engineering. However, GPT models can sometimes generate plausib... | [
3138,
13700,
13510
] | Test |
36,446 | 24 | Title: Vertex-based reachability analysis for verifying ReLU deep neural networks
Abstract: Neural networks achieved high performance over different tasks, i.e. image identification, voice recognition and other applications. Despite their success, these models are still vulnerable regarding small perturbations, which c... | [] | Train |
36,447 | 24 | Title: Efficient learning of large sets of locally optimal classification rules
Abstract: nan | [] | Validation |
36,448 | 24 | Title: Sequence Generation via Subsequence Similarity: Theory and Application to UAV Identification
Abstract: The ability to generate synthetic sequences is crucial for a wide range of applications, and recent advances in deep learning architectures and generative frameworks have greatly facilitated this process. Parti... | [] | Validation |
36,449 | 11 | Title: Efficient Algorithms for Monroe and CC Rules in Multi-Winner Elections with (Nearly) Structured Preferences
Abstract: We investigate winner determination for two popular proportional representation systems: the Monroe and Chamberlin-Courant (abbrv. CC) systems. Our study focuses on (nearly) single-peaked resp. s... | [] | Train |
36,450 | 2 | Title: The Descriptive Complexity of Graph Neural Networks
Abstract: We analyse the power of graph neural networks (GNNs) in terms of Boolean circuit complexity and descriptive complexity.We prove that the graph queries that can be computed by a polynomial-size bounded-depth family of GNNs are exactly those definable i... | [
35910,
12267,
3503,
25009,
30804
] | Train |
36,451 | 27 | Title: Design Project of an Open-Source, Low-Cost, and Lightweight Robotic Manipulator for High School Students
Abstract: In recent years, there is an increasing interest in high school robotics extracurriculars such as robotics clubs and robotics competitions. The growing demand is a result of more ubiquitous open-sou... | [] | Train |
36,452 | 30 | Title: Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution
Abstract: Semantic similarity measures are widely used in natural language processing to catalyze various computer-related tasks. However, no single semantic similarity measure is the most appropriate for all tasks, and researchers oft... | [] | Train |
36,453 | 16 | Title: Harder synthetic anomalies to improve OoD detection in Medical Images
Abstract: Our method builds upon previous Medical Out-of-Distribution (MOOD) challenge winners that empirically show that synthetic local anomalies generated copying / interpolating foreign patches are useful to train segmentation networks abl... | [] | Test |
36,454 | 25 | Title: FlexiAST: Flexibility is What AST Needs
Abstract: The objective of this work is to give patch-size flexibility to Audio Spectrogram Transformers (AST). Recent advancements in ASTs have shown superior performance in various audio-based tasks. However, the performance of standard ASTs degrades drastically when eva... | [
45576
] | Test |
36,455 | 23 | Title: JavaScript Dead Code Identification, Elimination, and Empirical Assessment
Abstract: Web apps are built by using a combination of HTML, CSS, and JavaScript. While building modern web apps, it is common practice to make use of third-party libraries and frameworks, as to improve developers’ productivity and code q... | [] | Test |
36,456 | 4 | Title: martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
Abstract: The development of machine learning models requires a large amount of training data. Data marketplaces are essential for trading high-quality, private-domain data not publicly available online.... | [] | Train |
36,457 | 16 | Title: UDPM: Upsampling Diffusion Probabilistic Models
Abstract: In recent years, Denoising Diffusion Probabilistic Models (DDPM) have caught significant attention. By composing a Markovian process that starts in the data domain and then gradually adds noise until reaching pure white noise, they achieve superior perfor... | [
23531,
9246
] | Train |
36,458 | 24 | Title: Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
Abstract: The success of many machine learning (ML) methods depends crucially on having large amounts of labeled data. However, obtaining enough labeled data can be expensive, time-consuming, and subject to ethical constraints for m... | [] | Train |
36,459 | 23 | Title: Columbus: Android App Testing Through Systematic Callback Exploration
Abstract: With the continuous rise in the popularity of Android mobile devices, automated testing of apps has become more important than ever. Android apps are event-driven programs. Unfortunately, generating all possible types of events by in... | [] | Train |
36,460 | 36 | Title: Honeypot Allocation for Cyber Deception in Dynamic Tactical Networks: A Game Theoretic Approach
Abstract: Honeypots play a crucial role in implementing various cyber deception techniques as they possess the capability to divert attackers away from valuable assets. Careful strategic placement of honeypots in netw... | [
37025,
11748
] | Test |
36,461 | 3 | Title: Software Doping Analysis for Human Oversight
Abstract: This article introduces a framework that is meant to assist in mitigating societal risks that software can pose. Concretely, this encompasses facets of software doping as well as unfairness and discrimination in high-risk decision-making systems. The term so... | [] | Validation |
36,462 | 4 | Title: Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing
Abstract: The Machine Learning as a Service (MLaaS) market is rapidly expanding and becoming more mature. For example, OpenAI's ChatGPT is an advanced large language model (LLM) that generates responses for various queries ... | [
13224,
25227,
44173,
37360,
41554,
29396,
8853,
729,
19583
] | Train |
36,463 | 16 | Title: Visual Crowd Analysis: Open Research Problems
Abstract: Over the last decade, there has been a remarkable surge in interest in automated crowd monitoring within the computer vision community. Modern deep‐learning approaches have made it possible to develop fully automated vision‐based crowd‐monitoring applicatio... | [
36868
] | Train |
36,464 | 20 | Title: Towards Space Efficient Two-Point Shortest Path Queries in a Polygonal Domain
Abstract: We devise a data structure that can answer shortest path queries for two query points in a polygonal domain $P$ on $n$ vertices. For any $\varepsilon>0$, the space complexity of the data structure is $O(n^{10+\varepsilon })$ ... | [] | Train |
36,465 | 34 | Title: WSRPT is 1.2259-competitive for Weighted Completion Time Scheduling
Abstract: \textit{Weighted shortest processing time first} (WSPT) is one of the best known algorithms for total weighted completion time scheduling problems. For each job $J_j$, it first combines the two independent job parameters weight $w_j$ a... | [] | Train |
36,466 | 30 | Title: To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
Abstract: Embedding models have shown great power in knowledge graph completion (KGC) task. By learning structural constraints for each training triple, these methods implicitly memorize intrinsic relation rules to infer mi... | [] | Train |
36,467 | 30 | Title: Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation
Abstract: Task-oriented Dialogue (ToD) agents are mostly limited to a few widely-spoken languages, mainly due to the high cost of acquiring training data for each language. Existing low-cost approaches that rely on cr... | [
79
] | Train |
36,468 | 30 | Title: Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts
Abstract: Many of the most commonly explored natural language processing (NLP) information extraction tasks can be thought of as evaluations of declarative knowledge, or fact-based information extractio... | [] | Validation |
36,469 | 16 | Title: Polynomial Neural Fields for Subband Decomposition and Manipulation
Abstract: Neural fields have emerged as a new paradigm for representing signals, thanks to their ability to do it compactly while being easy to optimize. In most applications, however, neural fields are treated like black boxes, which precludes ... | [
41783
] | Train |
36,470 | 9 | Title: Explaining Emergence
Abstract: Emergence is a pregnant property in various fields. It is the fact for a phenomenon to appear surprisingly and to be such that it seems at first sight that it is not possible to predict its apparition. That is the reason why it has often been said that emergence is a subjective pro... | [] | Train |
36,471 | 30 | Title: Elementwise Language Representation
Abstract: We propose a new technique for computational language representation called elementwise embedding, in which a material (semantic unit) is abstracted into a horizontal concatenation of lower-dimensional element (character) embeddings. While elements are always charact... | [] | Train |
36,472 | 30 | Title: Evaluating Inter-Bilingual Semantic Parsing for Indian Languages
Abstract: Despite significant progress in Natural Language Generation for Indian languages (IndicNLP), there is a lack of datasets around complex structured tasks such as semantic parsing. One reason for this imminent gap is the complexity of the l... | [
39642,
23247
] | Test |
36,473 | 30 | Title: Exploring Zero and Few-shot Techniques for Intent Classification
Abstract: Conversational NLU providers often need to scale to thousands of intent-classification models where new customers often face the cold-start problem. Scaling to so many customers puts a constraint on storage space as well. In this paper, w... | [] | Validation |
36,474 | 34 | Title: Approximating Edit Distance in the Fully Dynamic Model
Abstract: The edit distance is a fundamental measure of sequence similarity, defined as the minimum number of character insertions, deletions, and substitutions needed to transform one string into the other. Given two strings of length at most $n$, simple dy... | [
32934
] | Train |
36,475 | 27 | Title: IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty
Abstract: In this work, we propose the Informed Batch Belief Trees (IBBT) algorithm for motion planning under motion and sensing uncertainties. The original stochastic motion planning problem is divided into a deterministic motion planning p... | [
24692
] | Test |
36,476 | 27 | Title: Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints
Abstract: In this paper we study multi-robot path planning for persistent monitoring tasks. We consider the case where robots have a limited battery capacity with a discharge time $D$. We represent the areas to... | [] | Validation |
36,477 | 26 | Title: Understanding the power-law nature of participation in community sports organizations
Abstract: The improvement of living standards and awareness of chronic diseases have increased the importance of community sports organizations in promoting the physical activity levels of the public. However, limited understan... | [] | Validation |
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