node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
27,278 | 24 | Title: Personalized Privacy Auditing and Optimization at Test Time
Abstract: A number of learning models used in consequential domains, such as to assist in legal, banking, hiring, and healthcare decisions, make use of potentially sensitive users' information to carry out inference. Further, the complete set of feature... | [] | Train |
27,279 | 33 | Title: Quantitative estimates for the size of an intersection of sparse automatic sets
Abstract: A theorem of Cobham says that if $k$ and $\ell$ are two multiplicatively independent natural numbers then a subset of the natural numbers that is both $k$- and $\ell$-automatic is eventually periodic. A multidimensional ext... | [] | Test |
27,280 | 31 | Title: Hybrid and Collaborative Passage Reranking
Abstract: In passage retrieval system, the initial passage retrieval results may be unsatisfactory, which can be refined by a reranking scheme. Existing solutions to passage reranking focus on enriching the interaction between query and each passage separately, neglecti... | [] | Train |
27,281 | 31 | Title: Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Abstract: Large language models (LLMs) have demonstrated their significant potential to be applied for addressing various application tasks. However, traditional recommender systems continue to face great challenges such as poor inte... | [
1665,
4610,
34563,
13700,
43267,
9734,
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14282,
45898,
10069,
19159,
12888,
25943,
26718,
45406,
7665,
6008,
41721,
634,
36987
] | Train |
27,282 | 16 | Title: LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Abstract: We present LLaMA-Adapter, a lightweight adaption method to efficiently fine-tune LLaMA into an instruction-following model. Using 52K self-instruct demonstrations, LLaMA-Adapter only introduces 1.2M learnable parameters up... | [
23554,
5,
9741,
33806,
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37987,
11877,
19559,
117,
14974,
13439,
1665,
6283,
17564,
12957,
22180,
15541,
42679... | Validation |
27,283 | 28 | Title: Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data
Abstract: Recent advances in neuroscientific experimental techniques have enabled us to simultaneously record the activity of thousands of neurons across multiple brain regions. This has led to a growing need for... | [
26538
] | Train |
27,284 | 24 | Title: Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking
Abstract: The imputation of missing values in multivariate time series (MTS) data is a critical step in ensuring data quality and producing reliable data-driven predictive models. Apart from many statistical approaches, a fe... | [] | Train |
27,285 | 30 | Title: WhitenedCSE: Whitening-based Contrastive Learning of Sentence Embeddings
Abstract: This paper presents a whitening-based contrastive learning method for sentence embedding learning (WhitenedCSE), which combines contrastive learning with a novel shuffled group whitening. Generally, contrastive learning pulls dist... | [] | Train |
27,286 | 30 | Title: APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning
Abstract: Practical natural language processing (NLP) tasks are commonly long-tailed with noisy labels. Those problems challenge the generalization and robustness of complex models such as Deep Neur... | [
7742,
15327
] | Test |
27,287 | 36 | Title: Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19✱
Abstract: This work sets out a testing and containment framework developed for reopening universities in Mexico following the lockdown due to COVID-19. We treat diagnostic testing as a resource allocation problem and develop a t... | [] | Train |
27,288 | 24 | Title: Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views
Abstract: Learning node-level representations of heterophilic graphs is crucial for various applications, including fraudster detection and protein function prediction. In such graphs, nodes share structural similarity identified by... | [] | Validation |
27,289 | 16 | Title: PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic View
Abstract: Visual place recognition has gained significant attention in recent years as a crucial technology in autonomous driving and robotics. Currently, the two main approaches are the... | [] | Train |
27,290 | 2 | Title: The Stratified Foundations as a Theory Modulo
Abstract: nan | [] | Train |
27,291 | 32 | Title: TAPPS Release 1: Plugin-Extensible Platform for Technical Analysis and Applied Statistics
Abstract: We present the first release of TAPPS (Technical Analysis and Applied Statistics System); a Python implementation of a thin software platform aimed towards technical analyses and applied statistics. The core of TA... | [] | Train |
27,292 | 30 | Title: UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining
Abstract: Pretrained multilingual large language models have typically used heuristic temperature-based sampling to balance between different languages. However previous work has not systematically evaluated the efficacy... | [
21915,
44788,
36406
] | Train |
27,293 | 16 | Title: Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
Abstract: Face morphing attacks seek to deceive a Face Recognition (FR) system by presenting a morphed image consisting of the biometric qualities from two different identities with the aim of triggering a false acceptance with one of the two... | [] | Train |
27,294 | 30 | Title: Large language models can segment narrative events similarly to humans
Abstract: Humans perceive discrete events such as "restaurant visits" and "train rides" in their continuous experience. One important prerequisite for studying human event perception is the ability of researchers to quantify when one event en... | [] | Validation |
27,295 | 24 | Title: Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
Abstract: Existing analyses of the expressive capacity of Transformer models have required excessively deep layers for data memorization, leading to a discrepancy with the Transformers actually used in practice... | [] | Validation |
27,296 | 13 | Title: Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
Abstract: Spiking neural networks (SNNs) have tremendous potential for energy-efficient neuromorphic chips due to their binary and event-driven architecture. SNNs have been primarily used in classification tasks, but limite... | [
9554
] | Validation |
27,297 | 22 | Title: A Formal Model for Secure Multiparty Computation
Abstract: Although Secure Multiparty Computation (SMC) has seen considerable development in recent years, its use is challenging, resulting in complex code which obscures whether the security properties or correctness guarantees hold in practice. For this reason, ... | [] | Train |
27,298 | 27 | Title: Movement Optimization of Robotic Arms for Energy and Time Reduction using Evolutionary Algorithms
Abstract: Trajectory optimization of a robot manipulator consists of both optimization of the robot movement as well as optimization of the robot end-effector path. This paper aims to find optimum movement parameter... | [] | Train |
27,299 | 16 | Title: Learning ultrasound plane pose regression: assessing generalized pose coordinates in the fetal brain
Abstract: —In obstetric ultrasound (US) scanning, the learner’s ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a significant challenge in skill ... | [] | Train |
27,300 | 16 | Title: Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact
Abstract: This chapter introduces the concept of adversarial attacks on image classification models built on convolutional neural networks (CNN). CNNs are very popular deep-learning models which are used in image classifi... | [] | Train |
27,301 | 16 | Title: Unified Concept Editing in Diffusion Models
Abstract: Text-to-image models suffer from various safety issues that may limit their suitability for deployment. Previous methods have separately addressed individual issues of bias, copyright, and offensive content in text-to-image models. However, in the real world,... | [
15745,
549,
22886,
44741,
5932,
37916,
45104,
44177,
30737,
18003,
27059,
16284
] | Train |
27,302 | 2 | Title: On Feasibility of Declarative Diagnosis
Abstract: The programming language Prolog makes declarative programming possible, at least to a substantial extent. Programs may be written and reasoned about in terms of their declarative semantics. All the advantages of declarative programming are however lost when it co... | [
17296
] | Train |
27,303 | 10 | Title: A theory of desirable things
Abstract: Inspired by the theory of desirable gambles that is used to model uncertainty in the field of imprecise probabilities, I present a theory of desirable things. Its aim is to model a subject's beliefs about which things are desirable. What the things are is not important, nor... | [] | Train |
27,304 | 27 | Title: Local Navigation Among Movable Obstacles with Deep Reinforcement Learning
Abstract: Autonomous robots would benefit a lot by gaining the ability to manipulate their environment to solve path planning tasks, known as the Navigation Among Movable Obstacle (NAMO) problem. In this paper, we present a deep reinforcem... | [
8795
] | Test |
27,305 | 16 | Title: Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Abstract: Contrastive visual language pretraining has emerged as a powerful method for either training new language-aware image encoders or augmenting existing pretrained models with zero-shot visual recognition capabilitie... | [
27267,
14183,
39944,
15257,
5852,
43038
] | Train |
27,306 | 30 | Title: Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks
Abstract: Industry practitioners always face the problem of choosing the appropriate model for deployment under different considerations, such as to maximize a metric that is crucial for production, or to reduce the total cost give... | [
17510
] | Train |
27,307 | 31 | Title: CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation
Abstract: The cold-start problem is quite challenging for existing recommendation models. Specifically, for the new items with only a few interactions, their ID embeddings are trained inadequately, leading to... | [] | Validation |
27,308 | 16 | Title: Hierarchical Neural Coding for Controllable CAD Model Generation
Abstract: This paper presents a novel generative model for Computer Aided Design (CAD) that 1) represents high-level design concepts of a CAD model as a three-level hierarchical tree of neural codes, from global part arrangement down to local curve... | [
42597,
3139,
868,
4085
] | Train |
27,309 | 30 | Title: Rethinking Semi-supervised Learning with Language Models
Abstract: Semi-supervised learning (SSL) is a popular setting aiming to effectively utilize unlabelled data to improve model performance in downstream natural language processing (NLP) tasks. Currently, there are two popular approaches to make use of unlab... | [
40835,
36356,
36746,
1007,
37463
] | Test |
27,310 | 5 | Title: Energy Loss Prediction in IoT Energy Services
Abstract: We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel and convenient solution to enable the ubiquitous charging of nearby IoT device... | [
7720,
7579,
21619
] | Test |
27,311 | 27 | Title: Onboard View Planning of a Flying Camera for High Fidelity 3D Reconstruction of a Moving Actor
Abstract: Capturing and reconstructing a human actor's motion is important for filmmaking and gaming. Currently, motion capture systems with static cameras are used for pixel-level high-fidelity reconstructions. Such s... | [] | Train |
27,312 | 26 | Title: A mimetic approach to social influence on Instagram
Abstract: We combine philosophical theories with quantitative analyses of online data to propose a sophisticated approach to social media influencers. Identifying influencers as communication systems emerging from a dialectic interactional process between conte... | [] | Train |
27,313 | 24 | Title: Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML
Abstract: Automated machine learning (AutoML) systems commonly ensemble models post hoc to improve predictive performance, typically via greedy ensemble selection (GES). However, we believe that GES may not alwa... | [
21184,
26170,
28947
] | Train |
27,314 | 16 | Title: Disentangled Contrastive Image Translation for Nighttime Surveillance
Abstract: Nighttime surveillance suffers from degradation due to poor illumination and arduous human annotations. It is challengable and remains a security risk at night. Existing methods rely on multi-spectral images to perceive objects in th... | [] | Train |
27,315 | 24 | Title: Kernelized Offline Contextual Dueling Bandits
Abstract: Preference-based feedback is important for many applications where direct evaluation of a reward function is not feasible. A notable recent example arises in reinforcement learning from human feedback on large language models. For many of these applications... | [] | Validation |
27,316 | 30 | Title: A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics
Abstract: This paper presents a modified neural model for topic detection from a corpus and proposes a new metric to evaluate the detected topics. The new model builds upon the embedded topic model inco... | [] | Train |
27,317 | 16 | Title: Inter-View Depth Consistency Testing in Depth Difference Subspace
Abstract: Multiview depth imagery will play a critical role in free-viewpoint television. This technology requires high quality virtual view synthesis to enable viewers to move freely in a dynamic real world scene. Depth imagery at different viewp... | [] | Train |
27,318 | 24 | Title: A Novel Memetic Strategy for Optimized Learning of Classification Trees
Abstract: Given the increasing interest in interpretable machine learning, classification trees have again attracted the attention of the scientific community because of their glass-box structure. These models are usually built using greedy ... | [] | Train |
27,319 | 24 | Title: DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
Abstract: Algorithmic fairness has become an important machine learning problem, especially for mission-critical Web applications. This work presents a self-supervised model, called DualFair, that can debi... | [] | Test |
27,320 | 5 | Title: Swiper and Dora: efficient solutions to weighted distributed problems
Abstract: The majority of fault-tolerant distributed algorithms are designed assuming a nominal corruption model, in which at most a fraction $f_n$ of parties can be corrupted by the adversary. However, due to the infamous Sybil attack, nomina... | [] | Test |
27,321 | 34 | Title: MNL-Prophet: Sequential Assortment Selection under Uncertainty
Abstract: Due to numerous applications in retail and (online) advertising the problem of assortment selection has been widely studied under many combinations of discrete choice models and feasibility constraints. In many situations, however, an assor... | [] | Test |
27,322 | 24 | Title: How Jellyfish Characterise Alternating Group Equivariant Neural Networks
Abstract: We provide a full characterisation of all of the possible alternating group ($A_n$) equivariant neural networks whose layers are some tensor power of $\mathbb{R}^{n}$. In particular, we find a basis of matrices for the learnable, ... | [
43247,
35583
] | Validation |
27,323 | 3 | Title: Smart tutor to provide feedback in programming courses
Abstract: Artificial Intelligence (AI) is becoming more and more popular as time passes, allowing to perform tasks that were difficult to do in the past. From predictions to customization, AI is being used in many areas, not being educational environments ou... | [] | Train |
27,324 | 30 | Title: VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation
Abstract: Recent research shows a big convergence in model architecture, training objectives, and inference methods across various tasks for different modalities. In this paper, we propose VioLA, a single auto-regressive Tran... | [
33220,
26153,
21778,
16376,
18777
] | Test |
27,325 | 6 | Title: Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning
Abstract: Simulation-based Medical Education (SBME) has been developed as a cost-effective means of enhancing the diagnostic skills of novice physicians and interns, thereby mitigating... | [
68
] | Train |
27,326 | 4 | Title: REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Response
Abstract: Automated Intelligent Cyberdefense Agents (AICAs) that are part Intrusion Detection Systems (IDS) and part Intrusion Response Systems (IRS) are being designed to protect against sophisticated and automated cyber-attack... | [] | Train |
27,327 | 30 | Title: CGCE: A Chinese Generative Chat Evaluation Benchmark for General and Financial Domains
Abstract: Generative chat models, such as ChatGPT and GPT-4, have revolutionized natural language generation (NLG) by incorporating instructions and human feedback to achieve significant performance improvements. However, the ... | [] | Test |
27,328 | 27 | Title: Magnetically Actuated Millimeter-Scale Biped
Abstract: This paper introduces a new approach to studying bipedal locomotion. The approach is based on magnetically actuated miniature robots. Building prototypes of bipedal locomotion machines has been very costly and overly complicated. We demonstrate that a magnet... | [] | Train |
27,329 | 30 | Title: Measuring Stereotypes using Entity-Centric Data
Abstract: Stereotypes inform how we present ourselves and others, and in turn how we behave. They are thus important to measure. Recent work has used projections of embeddings from Distributional Semantic Models (DSMs), such as BERT, to perform these measurements. ... | [] | Train |
27,330 | 28 | Title: Multi-Agent Graph Reinforcement Learning based On-Demand Wireless Energy Transfer in Multi-UAV-aided IoT Network
Abstract: This paper proposes a new on-demand wireless energy transfer (WET) scheme of multiple unmanned aerial vehicles (UAVs). Unlike the existing studies that simply pursuing the total or the minim... | [] | Train |
27,331 | 30 | Title: Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts
Abstract: Automatically associating ICD codes with electronic health data is a well-known NLP task in medical research. NLP has evolved significantly in recent years with the emergence of pre-trained language models based on Transform... | [] | Validation |
27,332 | 16 | Title: Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset
Abstract: Active Learning (AL) has remained relatively unexplored for LiDAR perception tasks in autonomous driving datasets. In this study we evaluate Bayesian active learning methods applied to the task of d... | [] | Train |
27,333 | 24 | Title: Outlier-robust Estimation of a Sparse Linear Model Using Invexity
Abstract: In this paper, we study problem of estimating a sparse regression vector with correct support in the presence of outlier samples. The inconsistency of lasso-type methods is well known in this scenario. We propose a combinatorial version ... | [] | Train |
27,334 | 34 | Title: Algorithms for subgraph complementation to some classes of graphs
Abstract: For a class $\mathcal{G}$ of graphs, the objective of \textsc{Subgraph Complementation to} $\mathcal{G}$ is to find whether there exists a subset $S$ of vertices of the input graph $G$ such that modifying $G$ by complementing the subgrap... | [] | Test |
27,335 | 30 | Title: Multilingual context-based pronunciation learning for Text-to-Speech
Abstract: Phonetic information and linguistic knowledge are an essential component of a Text-to-speech (TTS) front-end. Given a language, a lexicon can be collected offline and Grapheme-to-Phoneme (G2P) relationships are usually modeled in orde... | [] | Train |
27,336 | 16 | Title: RT-MonoDepth: Real-time Monocular Depth Estimation on Embedded Systems
Abstract: Depth sensing is a crucial function of unmanned aerial vehicles and autonomous vehicles. Due to the small size and simple structure of monocular cameras, there has been a growing interest in depth estimation from a single RGB image.... | [] | Train |
27,337 | 16 | Title: G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
Abstract: The recent video grounding works attempt to introduce vanilla contrastive learning into video grounding. However, we claim that this naive solution is suboptimal. Contrastive learning requires two key properties: (1) \em... | [
15620,
40485,
15341,
17487,
15504
] | Train |
27,338 | 29 | Title: Optimization of Resources to Minimize Power Dissipation in 5G Wireless Networks
Abstract: nan | [] | Test |
27,339 | 25 | Title: Musico-acoustic Depictions of Laminar and Turbulent Flows in Ligeti Piano Etude No 9 and a Novel Method of Analysis
Abstract: The relationship between musical material and physical phenomena has become a topic in the musicological literature over the last several decades, particularly concerning elements of the ... | [] | Train |
27,340 | 30 | Title: Prompting Large Language Model for Machine Translation: A Case Study
Abstract: Research on prompting has shown excellent performance with little or even no supervised training across many tasks. However, prompting for machine translation is still under-explored in the literature. We fill this gap by offering a s... | [
37891,
20764,
25502,
14368,
15907,
20272,
44727,
23867,
28367,
22097,
26068,
24150,
37215,
35680,
42083,
100,
28775,
30951,
8571,
15358,
15615
] | Test |
27,341 | 16 | Title: Differentiable Display Photometric Stereo
Abstract: Photometric stereo leverages variations in illumination conditions to reconstruct per-pixel surface normals. The concept of display photometric stereo, which employs a conventional monitor as an illumination source, has the potential to overcome limitations oft... | [
38344
] | Validation |
27,342 | 16 | Title: Visual Realism Assessment for Face-swap Videos
Abstract: Deep-learning based face-swap videos, also known as deep fakes, are becoming more and more realistic and deceiving. The malicious usage of these face-swap videos has caused wide concerns. The research community has been focusing on the automatic detection ... | [
9555
] | Test |
27,343 | 6 | Title: MindSculpt: Using a Brain-Computer Interface to Enable Designers to Create Diverse Geometries by Thinking
Abstract: MindSculpt enables users to generate a wide range of hybrid geometries in Grasshopper in real time simply by thinking about those geometries. This design tool combines a brain-computer interface (B... | [
18330
] | Validation |
27,344 | 28 | Title: Joint Beam Management and SLAM for mmWave Communication Systems
Abstract: The millimeter-wave (mmWave) communication technology, which employs large-scale antenna arrays, enables inherent sensing capabilities. Simultaneous localization and mapping (SLAM) can utilize channel multipath angle estimates to realize i... | [] | Train |
27,345 | 16 | Title: Deep ensembling for perceptual image quality assessment
Abstract: nan | [
28406
] | Test |
27,346 | 27 | Title: DS-MPEPC: Safe and Deadlock-Avoiding Robot Navigation in Cluttered Dynamic Scenes
Abstract: We present an algorithm for safe robot navigation in complex dynamic environments using a variant of model predictive equilibrium point control. We use an optimization formulation to navigate robots gracefully in dynamic ... | [
33142
] | Train |
27,347 | 27 | Title: Chat-PM: A Class of Composite Hybrid Aerial/Terrestrial Precise Manipulator
Abstract: This paper concentrates on the development of Chat-PM, a class of composite hybrid aerial/terrestrial manipulator, in concern with composite configuration design, dynamics modeling, motion control and force estimation. Compared... | [] | Train |
27,348 | 24 | Title: Black-Box Variational Inference Converges
Abstract: We provide the first convergence guarantee for full black-box variational inference (BBVI), also known as Monte Carlo variational inference. While preliminary investigations worked on simplified versions of BBVI (e.g., bounded domain, bounded support, only opti... | [
40807,
23079
] | Train |
27,349 | 28 | Title: Polarization-Adjusted Convolutional (PAC) Codes as a Concatenation of Inner Cyclic and Outer Polar- and Reed-Muller-like Codes
Abstract: Polarization-adjusted convolutional (PAC) codes are a new family of linear block codes that can perform close to the theoretical bounds in the short block-length regime. These ... | [] | Test |
27,350 | 1 | Title: Improving Adaptive Real-Time Video Communication Via Cross-layer Optimization
Abstract: Effective Adaptive BitRate (ABR) algorithm or policy is of paramount importance for Real-Time Video Communication (RTVC) amid this pandemic to pursue uncompromised quality of experience (QoE). Existing ABR methods mainly sepa... | [
11180
] | Validation |
27,351 | 16 | Title: MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds
Abstract: Unsupervised domain adaptation (UDA) addresses the problem of distribution shift between the unlabeled target domain and labelled source domain. While the single target domain adaptation (STDA) is well stu... | [] | Validation |
27,352 | 16 | Title: CVSNet: A Computer Implementation for Central Visual System of The Brain
Abstract: In computer vision, different basic blocks are created around different matrix operations, and models based on different basic blocks have achieved good results. Good results achieved in vision tasks grants them rationality. Howev... | [] | Train |
27,353 | 24 | Title: Accelerating Domain-aware Deep Learning Models with Distributed Training
Abstract: Recent advances in data-generating techniques led to an explosive growth of geo-spatiotemporal data. In domains such as hydrology, ecology, and transportation, interpreting the complex underlying patterns of spatiotemporal interac... | [] | Train |
27,354 | 30 | Title: Meet in the Middle: A New Pre-training Paradigm
Abstract: Most language models (LMs) are trained and applied in an autoregressive left-to-right fashion, assuming that the next token only depends on the preceding ones. However, this assumption ignores the potential benefits of using the full sequence information ... | [
31145,
33490,
13700
] | Train |
27,355 | 23 | Title: Do I Belong? Modeling Sense of Virtual Community Among Linux Kernel Contributors
Abstract: The sense of belonging to a community is a basic human need that impacts an individual's behavior, long-term engagement, and job satisfaction, as revealed by research in disciplines such as psychology, healthcare, and educ... | [
23457,
7621,
34811,
32881,
7195
] | Train |
27,356 | 5 | Title: A review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations
Abstract: A smart contract is a digital program of transaction protocol (rules of contract) based on the consensus architecture of blockchain. Smart contracts with Blockchain are modern technologies that have gaine... | [] | Train |
27,357 | 16 | Title: Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras
Abstract: Neuromorphic (event-based) image sensors draw inspiration from the human-retina to create an electronic device that can process visual stimuli in a way that closely resembles its biological counterpart.... | [] | Train |
27,358 | 23 | Title: MLSMM: Machine Learning Security Maturity Model
Abstract: Assessing the maturity of security practices during the development of Machine Learning (ML) based software components has not gotten as much attention as traditional software development. In this Blue Sky idea paper, we propose an initial Machine Learnin... | [] | Validation |
27,359 | 30 | Title: A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
Abstract: The goal of document-level relation extraction (RE) is to identify relations between entities that span multiple sentences. Recently, incomplete labeling in document-level RE has received incr... | [] | Train |
27,360 | 30 | Title: No that's not what I meant: Handling Third Position Repair in Conversational Question Answering
Abstract: The ability to handle miscommunication is crucial to robust and faithful conversational AI. People usually deal with miscommunication immediately as they detect it, using highly systematic interactional mech... | [] | Validation |
27,361 | 8 | Title: Deep Reinforcement Learning based Joint Spectrum Allocation and Configuration Design for STAR-RIS-Assisted V2X Communications
Abstract: Vehicle-to-Everything (V2X) communications play a crucial role in ensuring safe and efficient modern transportation systems. However, challenges arise in scenarios with building... | [] | Test |
27,362 | 25 | Title: QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis
Abstract: Recent expressive text to speech (TTS) models focus on synthesizing emotional speech, but some fine-grained styles such as intonation are neglected. In this paper, we propose QI-TTS which aims to better transfer and control intonatio... | [
9873,
29451,
22598,
1199
] | Test |
27,363 | 16 | Title: PGT-Net: Progressive Guided Multi-task Neural Network for Small-area Wet Fingerprint Denoising and Recognition
Abstract: Fingerprint recognition on mobile devices is an important method for identity verification. However, real fingerprints usually contain sweat and moisture which leads to poor recognition perfor... | [] | Train |
27,364 | 16 | Title: OTS: A One-shot Learning Approach for Text Spotting in Historical Manuscripts
Abstract: Historical manuscript processing poses challenges like limited annotated training data and novel class emergence. To address this, we propose a novel One-shot learning-based Text Spotting (OTS) approach that accurately and re... | [] | Train |
27,365 | 23 | Title: NeuRI: Diversifying DNN Generation via Inductive Rule Inference
Abstract: Deep Learning (DL) is prevalently used in various industries to improve decision-making and automate processes, driven by the ever-evolving DL libraries and compilers. The correctness of DL systems is crucial for trust in DL applications. ... | [
45555
] | Validation |
27,366 | 7 | Title: A novel class of electro-mechanical metamaterials for stress reduction through electric fields
Abstract: While most previous developed metamaterials only consider a single physical effect, we introduce a novel class of electro-mechanical metamaterials, which allows a direct controllable reduction of the total st... | [] | Validation |
27,367 | 30 | Title: OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples
Abstract: Large Language Models (LLMs) have achieved human-level fluency in text generation, making it difficult to distinguish between human-written and LLM-generated texts. This poses a growing risk of misus... | [
31330,
6531,
14410,
22476,
497,
7796,
25367,
43930,
38235,
24412,
36991
] | Train |
27,368 | 16 | Title: Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Abstract: Reconstructing accurate 3D scenes from images is a long-standing vision task. Due to the ill-posedness of the single-image reconstruction problem, most well-established methods are built upon multi-view geometry. State-of-the-art (SOT... | [
18283,
25276,
23815
] | Validation |
27,369 | 24 | Title: Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Abstract: Graph clustering, which learns the node representations for effective cluster assignments, is a fundamental yet challenging task in data analysis and has received considerable attention accompanied by graph neural networks in rece... | [
23377,
42511
] | Validation |
27,370 | 23 | Title: Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration Testing
Abstract: Quantum computing has emerged as a promising field with the potential to revolutionize various domains by harnessing the principles of quantum mechanics. As quantum hardware and algorithms continue to advance, the devel... | [
24394
] | Validation |
27,371 | 30 | Title: DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
Abstract: Adversarial training is one of the best-performing methods in improving the robustness of deep language models. However, robust models come at the cost of high time consumption, as they require multi-step gradient ascent... | [] | Train |
27,372 | 24 | Title: Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging
Abstract: Parkinson's disease is the world's fastest growing neurological disorder. Research to elucidate the mechanisms of Parkinson's disease and automate diagnostics would greatly improve the treatment of patients... | [] | Train |
27,373 | 16 | Title: Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms
Abstract: Object detection in 3D is a crucial aspect in the context of autonomous vehicles and drones. However, prototyping detection algorithms is time-consuming and costly in terms of energy and environmental ... | [] | Train |
27,374 | 16 | Title: Knowing Where to Focus: Event-aware Transformer for Video Grounding
Abstract: Recent DETR-based video grounding models have made the model directly predict moment timestamps without any hand-crafted components, such as a pre-defined proposal or non-maximum suppression, by learning moment queries. However, their ... | [
44496,
8317,
38829
] | Test |
27,375 | 28 | Title: A Novel Channel Model for Reconfigurable Intelligent Surfaces with Consideration of Polarization and Switch Impairments
Abstract: Future wireless networks require the ability to actively adjust the wireless environment to meet strict performance indicators. Reconfigurable Intelligent Surface (RIS) technology is ... | [] | Train |
27,376 | 24 | Title: Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids
Abstract: nan | [] | Test |
27,377 | 16 | Title: Masked Pre-Training of Transformers for Histology Image Analysis
Abstract: In digital pathology, whole slide images (WSIs) are widely used for applications such as cancer diagnosis and prognosis prediction. Visual transformer models have recently emerged as a promising method for encoding large regions of WSIs w... | [
15257
] | Test |
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