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
45,278	26	Title: All in One: Multi-Task Prompting for Graph Neural Networks Abstract: Recently, "pre-training and fine-tuning'' has been adopted as a standard workflow for many graph tasks since it can take general graph knowledge to relieve the lack of graph annotations from each application. However, graph tasks with node leve...	[ 23805, 17309 ]	Train
45,279	11	Title: Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment Abstract: A multi-agent deep reinforcement learning-based framework for traffic shaping. The proposed framework offers a key advantage over existing congestion management strategies which is the ability...	[]	Test
45,280	24	Title: BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration Abstract: Deep learning has achieved remarkable success in the field of bearing fault diagnosis. However, this success comes with larger models and more complex computations, wh...	[]	Validation
45,281	16	Title: Active Neural Mapping Abstract: We address the problem of active mapping with a continually-learned neural scene representation, namely Active Neural Mapping. The key lies in actively finding the target space to be explored with efficient agent movement, thus minimizing the map uncertainty on-the-fly within a pr...	[ 41055 ]	Test
45,282	7	Title: Electromechanical phase-field fracture modelling of piezoresistive CNT-based composites Abstract: nan	[]	Train
45,283	34	Title: Finding Optimal 2-Packing Sets on Arbitrary Graphs at Scale Abstract: A 2-packing set for an undirected graph $G=(V,E)$ is a subset $\mathcal{S} \subset V$ such that any two vertices $v_1,v_2 \in \mathcal{S}$ have no common neighbors. Finding a 2-packing set of maximum cardinality is a NP-hard problem. We develo...	[]	Validation
45,284	21	Title: The Standard Problem Abstract: OBJECTIVE This article proposes a framework to support the scientific research of standards so that they can be better measured, evaluated, and designed. METHODS Beginning with the notion of common models, the framework describes the general standard problem-the seeming impossibi...	[ 20589 ]	Train
45,285	25	Title: iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN Abstract: The inverse short-time Fourier transform network (iSTFTNet) has garnered attention owing to its fast, lightweight, and high-fidelity speech synthesis. It obtains these characteristics using a fast and lightweight 1D CNN a...	[ 27153 ]	Test
45,286	24	Title: Parameter Identification for Partial Differential Equations with Spatiotemporal Varying Coefficients Abstract: To comprehend complex systems with multiple states, it is imperative to reveal the identity of these states by system outputs. Nevertheless, the mathematical models describing these systems often exhibi...	[]	Test
45,287	16	Title: 3D Video Object Detection with Learnable Object-Centric Global Optimization Abstract: We explore long-term temporal visual correspondence-based optimization for 3D video object detection in this work. Visual correspondence refers to one-to-one mappings for pixels across multiple images. Correspondence-based opti...	[ 40544, 40674, 12581, 6965 ]	Train
45,288	16	Title: UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing Abstract: Neural radiance field (NeRF) has become a popular 3D representation method for human avatar reconstruction due to its high-quality rendering capabilities, e.g., regarding novel views and poses. Howev...	[]	Validation
45,289	16	Title: Grounded Image Text Matching with Mismatched Relation Reasoning Abstract: This paper introduces Grounded Image Text Matching with Mismatched Relation (GITM-MR), a novel visual-linguistic joint task that evaluates the relation understanding capabilities of transformer-based pre-trained models. GITM-MR requires a ...	[]	Train
45,290	16	Title: Dirichlet-based Uncertainty Calibration for Active Domain Adaptation Abstract: Active domain adaptation (DA) aims to maximally boost the model adaptation on a new target domain by actively selecting limited target data to annotate, whereas traditional active learning methods may be less effective since they do n...	[ 39906 ]	Train
45,291	30	Title: Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt Abstract: Large Language Models (LLMs), armed with billions of parameters, exhibit exceptional performance across a wide range of Natural Language Processing (NLP) tasks. However, they present a significant c...	[ 13700, 41554, 12851, 7351, 40953, 20223 ]	Train
45,292	23	Title: Test Case Generation for Drivability Requirements of an Automotive Cruise Controller: An Experience with an Industrial Simulator Abstract: Automotive software development requires engineers to test their systems to detect violations of both functional and drivability requirements. Functional requirements define ...	[ 43770, 20622 ]	Train
45,293	37	Title: Fairness-driven Skilled Task Assignment with Extra Budget in Spatial Crowdsourcing Abstract: With the prevalence of mobile devices and ubiquitous wireless networks, spatial crowdsourcing has attracted much attention from both academic and industry communities. On spatial crowdsourcing platforms, task requesters ...	[]	Train
45,294	30	Title: Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale Abstract: We introduce a multilingual extension of the HOLISTICBIAS dataset, the largest English template-based taxonomy of textual people references: MULTILINGUALHOLISTICBIAS. This extension consist...	[ 44700, 44727 ]	Train
45,295	27	Title: Robot Patrol: Using Crowdsourcing and Robotic Systems to Provide Indoor Navigation Guidance to The Visually Impaired Abstract: Indoor navigation is a challenging activity for persons with disabilities, particularly, for those with low vision and visual impairment. Researchers have explored numerous solutions to ...	[]	Train
45,296	30	Title: Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Abstract: Modern NLP systems exhibit a range of biases, which a growing literature on model debiasing attempts to correct. However, current progress is hampered by a plurality of definitions of bias, means of quantification, a...	[ 42814 ]	Train
45,297	27	Title: The Robot in the Room: Influence of Robot Facial Expressions and Gaze on Human-Human-Robot Collaboration Abstract: Robot facial expressions and gaze are important factors for enhancing human-robot interaction (HRI), but their effects on human collaboration and perception are not well understood, for instance, in...	[ 40198 ]	Train
45,298	25	Title: Diversity-based core-set selection for text-to-speech with linguistic and acoustic features Abstract: This paper proposes a method for extracting a lightweight subset from a text-to-speech (TTS) corpus ensuring synthetic speech quality. In recent years, methods have been proposed for constructing large-scale TTS...	[]	Train
45,299	30	Title: GlobalBench: A Benchmark for Global Progress in Natural Language Processing Abstract: Despite the major advances in NLP, significant disparities in NLP system performance across languages still exist. Arguably, these are due to uneven resource allocation and sub-optimal incentives to work on less resourced langu...	[ 31355 ]	Train
45,300	30	Title: On the (In)Effectiveness of Large Language Models for Chinese Text Correction Abstract: Recently, the development and progress of Large Language Models (LLMs) have amazed the entire Artificial Intelligence community. As an outstanding representative of LLMs and the foundation model that set off this wave of rese...	[ 40192, 13185, 21921, 29894, 40457, 26730, 5643, 10672, 34738, 33300, 7765, 31189, 12087, 24794 ]	Test
45,301	24	Title: Automatically Auditing Large Language Models via Discrete Optimization Abstract: Auditing large language models for unexpected behaviors is critical to preempt catastrophic deployments, yet remains challenging. In this work, we cast auditing as an optimization problem, where we automatically search for input-out...	[ 39840, 34987, 5071, 10800, 17263, 17295, 41328, 4180, 4565, 2168 ]	Train
45,302	23	Title: Do the Defect Prediction Models Really Work? Abstract: —“ You may develop a potential prediction model, but how can I trust your model that it will beneﬁt my software? ”. Using a software defect prediction (SDP) model as a tool, we address this fundamental problem in machine learning research. This is a prelimin...	[]	Test
45,303	24	Title: Sharpness & Shift-Aware Self-Supervised Learning Abstract: Self-supervised learning aims to extract meaningful features from unlabeled data for further downstream tasks. In this paper, we consider classification as a downstream task in phase 2 and develop rigorous theories to realize the factors that implicitly ...	[]	Train
45,304	24	Title: Heterogeneous Datasets for Federated Survival Analysis Simulation Abstract: Survival analysis studies time-modeling techniques for an event of interest occurring for a population. Survival analysis found widespread applications in healthcare, engineering, and social sciences. However, the data needed to train su...	[ 19801, 41058 ]	Train
45,305	24	Title: Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples Abstract: Partial-label learning (PLL) relies on a key assumption that the true label of each training example must be in the candidate label set. This restrictive assumption may be violated in complex real-world scenarios, and t...	[]	Train
45,306	27	Title: MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments Abstract: This paper presents a family of autonomous Unmanned Aerial Vehicles (UAVs) platforms designed for a diverse range of indoor and outdoor applications. The proposed UAV design is highly modular in ter...	[ 4483, 35719, 33675, 35213, 29201, 19735, 38809, 35630, 2229, 28469, 22599, 4682, 34378, 41935, 33376, 27877, 13033, 15213, 13049, 2431 ]	Train
45,307	16	Title: DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System Abstract: Optical Image Stabilization (OIS) system in mobile devices reduces image blurring by steering lens to compensate for hand jitters. However, OIS changes intrinsic camera parameter...	[]	Train
45,308	16	Title: A Multimodal Method Based on Cross-Attention and Convolution for Postoperative Infection Diagnosis Abstract: Postoperative infection diagnosis is a common and serious complication that generally poses a high diagnostic challenge. This study focuses on PJI, a type of postoperative infection. X-ray examination is ...	[ 29873 ]	Train
45,309	27	Title: Individuality in Swarm Robots with the Case Study of Kilobots: Noise, Bug, or Feature? Abstract: Inter-individual differences are studied in natural systems, such as fish, bees, and humans, as they contribute to the complexity of both individual and collective behaviors. However, individuality in artificial syst...	[ 7448 ]	Train
45,310	30	Title: One-stop Training of Multiple Capacity Models Abstract: Training models with varying capacities can be advantageous for deploying them in different scenarios. While high-capacity models offer better performance, low-capacity models require fewer computing resources for training and inference. In this work, we pr...	[ 22998, 15358 ]	Train
45,311	36	Title: With a little help from your friends: semi-cooperative games via Joker moves Abstract: This paper coins the notion of Joker games where Player 2 is not strictly adversarial: Player 1 gets help from Player 2 by playing a Joker. We formalize these games as cost games, and study their theoretical properties. Finall...	[]	Train
45,312	30	Title: Estimating Large Language Model Capabilities without Labeled Test Data Abstract: Large Language Models (LLMs) have exhibited an impressive ability to perform in-context learning (ICL) from only a few examples, but the success of ICL varies widely from task to task. Thus, it is important to quickly determine whet...	[ 13700, 6422 ]	Validation
45,313	16	Title: Contrastive Attention Networks for Attribution of Early Modern Print Abstract: In this paper, we develop machine learning techniques to identify unknown printers in early modern (c.~1500--1800) English printed books. Specifically, we focus on matching uniquely damaged character type-imprints in anonymously print...	[]	Train
45,314	27	Title: An Adaptive Graduated Nonconvexity Loss Function for Robust Nonlinear Least Squares Solutions Abstract: Many problems in robotics, such as estimating the state from noisy sensor data or aligning two point clouds, can be posed and solved as least-squares problems. Unfortunately, vanilla nonminimal solvers for lea...	[]	Train
45,315	11	Title: Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach Abstract: High-density, unsignalized intersection has always been a bottleneck of efficiency and safety. The emergence of Connected Autonomous Vehicles (CAVs) results in a mixed traffic condition, furth...	[]	Test
45,316	6	Title: Tell Me, What Are You Most Afraid Of? Exploring the Effects of Agent Representation on Information Disclosure in Human-Chatbot Interaction Abstract: nan	[]	Train
45,317	25	Title: OxfordVGG Submission to the EGO4D AV Transcription Challenge Abstract: This report presents the technical details of our submission on the EGO4D Audio-Visual (AV) Automatic Speech Recognition Challenge 2023 from the OxfordVGG team. We present WhisperX, a system for efficient speech transcription of long-form aud...	[ 25698, 37445 ]	Test
45,318	10	Title: Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models Abstract: Text-to-video (T2V) synthesis has gained increasing attention in the community, in which the recently emerged diffusion models (DMs) have promisingly shown stronger performance than the past approaches. While existing state-of...	[ 22115, 13700, 33220, 23563, 32467, 3609, 43930, 5373, 40671 ]	Validation
45,319	15	Title: BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions Abstract: This paper presents BlendNet, a neural network architecture employing a novel building block called Blend module, which relies on performing binary and fixed-point convolutions in i...	[]	Train
45,320	3	Title: Assessing VoD pressure on network power consumption Abstract: Assessing the energy consumption or carbon footprint of data distribution of video streaming services is usually carried out through energy or carbon intensity figures (in Wh or gCO2e per GB). In this paper, we first review the reasons why such approa...	[]	Train
45,321	16	Title: 3D-Aware Multi-Class Image-to-Image Translation with NeRFs Abstract: Recent advances in 3D-aware generative models (3D-aware GANs) combined with Neural Radiance Fields (NeRF) have achieved impressive results. However no prior works investigate 3D-aware GANs for 3D consistent multiclass image-to-image (3D-aware 1...	[ 7076 ]	Train
45,322	16	Title: Unproportional mosaicing Abstract: Data shift is a gap between data distribution used for training and data distribution encountered in the real-world. Data augmentations help narrow the gap by generating new data samples, increasing data variability, and data space coverage. We present a new data augmentation: ...	[]	Train
45,323	27	Title: Safe Robot Learning in Assistive Devices through Neural Network Repair Abstract: Assistive robotic devices are a particularly promising field of application for neural networks (NN) due to the need for personalization and hard-to-model human-machine interaction dynamics. However, NN based estimators and controll...	[]	Train
45,324	30	Title: Text Style Transfer Evaluation Using Large Language Models Abstract: Text Style Transfer (TST) is challenging to evaluate because the quality of the generated text manifests itself in multiple aspects, each of which is hard to measure individually: style transfer accuracy, content preservation, and overall fluen...	[ 29072, 39642, 38148, 17061 ]	Train
45,325	31	Title: STEC: See-Through Transformer-based Encoder for CTR Prediction Abstract: Click-Through Rate (CTR) prediction holds a pivotal place in online advertising and recommender systems since CTR prediction performance directly influences the overall satisfaction of the users and the revenue generated by companies. Even ...	[ 7134 ]	Train
45,326	6	Title: EEG2IMAGE: Image Reconstruction from EEG Brain Signals Abstract: Reconstructing images using brain signals of imagined visuals may provide an augmented vision to the disabled, leading to the advancement of Brain-Computer Interface (BCI) technology. The recent progress in deep learning has boosted the study area ...	[]	Validation
45,327	16	Title: Explain Any Concept: Segment Anything Meets Concept-Based Explanation Abstract: EXplainable AI (XAI) is an essential topic to improve human understanding of deep neural networks (DNNs) given their black-box internals. For computer vision tasks, mainstream pixel-based XAI methods explain DNN decisions by identify...	[ 35263, 10180, 41501, 1151 ]	Test
45,328	16	Title: STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos Abstract: We address the problem of extracting key steps from unlabeled procedural videos, motivated by the potential of Augmented Reality (AR) headsets to revolutionize job training and performance. We decompose the pro...	[ 18032, 24415, 999 ]	Train
45,329	13	Title: Inherent Redundancy in Spiking Neural Networks Abstract: Spiking Neural Networks (SNNs) are well known as a promising energy-efficient alternative to conventional artificial neural networks. Subject to the preconceived impression that SNNs are sparse firing, the analysis and optimization of inherent redundancy i...	[ 22629 ]	Train
45,330	16	Title: StyleLipSync: Style-based Personalized Lip-sync Video Generation Abstract: In this paper, we present StyleLipSync, a style-based personalized lip-sync video generative model that can generate identity-agnostic lip-synchronizing video from arbitrary audio. To generate a video of arbitrary identities, we leverage ...	[]	Validation
45,331	6	Title: Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations Abstract: Explainable artificial intelligence techniques are developed at breakneck speed, but suitable evaluation approaches lag behind. With explainers becoming increasingly complex and a l...	[ 29482, 30338 ]	Train
45,332	24	Title: Privately Customizing Prefinetuning to Better Match User Data in Federated Learning Abstract: In Federated Learning (FL), accessing private client data incurs communication and privacy costs. As a result, FL deployments commonly prefinetune pretrained foundation models on a (large, possibly public) dataset that ...	[ 36667 ]	Train
45,333	16	Title: Detecting Human-Object Contact in Images Abstract: Humans constantly contact objects to move and perform tasks. Thus, detecting human-object contact is important for building human-centered artificial intelligence. However, there exists no robust method to detect contact between the body and the scene from an im...	[ 27782, 38181, 25694, 19079 ]	Train
45,334	17	Title: Radiance Textures for Rasterizing Ray-Traced Data Abstract: Presenting real-time rendering of 3D surfaces using radiance textures for fast synthesis of complex incidence-variable effects and environment interactions. This includes iridescence, parallax occlusion and interior mapping, (specular, regular, diffuse,...	[]	Train
45,335	31	Title: Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution Abstract: The entity resolution problem requires finding pairs across datasets that belong to different owners but refer to the same entity in the real world. To train and evaluate solutions (either rule-based or machine-learning-...	[]	Validation
45,336	25	Title: Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representations Abstract: Speech intelligibility is crucial in language learning for effective communication. Thus, to develop computer-assisted language learning systems, automatic spee...	[]	Test
45,337	8	Title: Network Architecture Design toward Convergence of Mobile Applications and Networks Abstract: With the quick proliferation of extended reality (XR) services, the mobile communications networks are faced with gigantic challenges to meet the diversified and challenging service requirements. A tight coordination or ...	[]	Test
45,338	30	Title: Defending against Insertion-based Textual Backdoor Attacks via Attribution Abstract: Textual backdoor attack, as a novel attack model, has been shown to be effective in adding a backdoor to the model during training. Defending against such backdoor attacks has become urgent and important. In this paper, we propo...	[ 34076, 22668, 10749 ]	Validation
45,339	27	Title: Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin Abstract: Distributed sensor arrays capable of detecting multiple spatially distributed stimuli are considered an important element in the realisation of exteroceptive and proprioceptive soft robots. This paper e...	[]	Train
45,340	24	Title: Deep Learning Methods for Small Molecule Drug Discovery: A Survey Abstract: With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decade. Various applications of deep learning have drawn great...	[ 45455 ]	Train
45,341	16	Title: WrappingNet: Mesh Autoencoder via Deep Sphere Deformation Abstract: There have been recent efforts to learn more meaningful representations via fixed length codewords from mesh data, since a mesh serves as a complete model of underlying 3D shape compared to a point cloud. However, the mesh connectivity presents ...	[]	Test
45,342	10	Title: Mathematics, word problems, common sense, and artificial intelligence Abstract: The paper discusses the capacities and limitations of current artificial intelligence (AI) technology to solve word problems that combine elementary knowledge with commonsense reasoning. No existing AI systems can solve these reliabl...	[ 6855, 46029, 38543, 44246, 20502, 3583 ]	Validation
45,343	24	Title: Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data Abstract: Federated Learning aims to learn a global model on the server side that generalizes to all clients in a privacy-preserving manner, by leveraging the local models from different clients. Existing solutions focus on either regul...	[ 44519 ]	Train
45,344	30	Title: RCMHA: Relative Convolutional Multi-Head Attention for Natural Language Modelling Abstract: The Attention module finds common usage in language modeling, presenting distinct challenges within the broader scope of Natural Language Processing. Multi-Head Attention (MHA) employs an absolute positional encoding, whi...	[]	Train
45,345	27	Title: Do You Need a Hand? - a Bimanual Robotic Dressing Assistance Scheme Abstract: Developing physically assistive robots capable of dressing assistance has the potential to significantly improve the lives of the elderly and disabled population. However, most robotics dressing strategies considered a single robot onl...	[]	Test
45,346	24	Title: Qualitative Data Augmentation for Performance Prediction in VLSI circuits Abstract: Various studies have shown the advantages of using Machine Learning (ML) techniques for analog and digital IC design automation and optimization. Data scarcity is still an issue for electronic designs, while training highly accur...	[]	Validation
45,347	30	Title: Multiscale Positive-Unlabeled Detection of AI-Generated Texts Abstract: Recent releases of Large Language Models (LLMs), e.g. ChatGPT, are astonishing at generating human-like texts, but they may get misused for fake scholarly texts, fake news, fake tweets, et cetera. Previous works have proposed methods to dete...	[ 3050, 33368, 43930, 38235, 28924 ]	Validation
45,348	24	Title: Blockchained Federated Learning for Internet of Things: A Comprehensive Survey Abstract: The demand for intelligent industries and smart services based on big data is rising rapidly with the increasing digitization and intelligence of the modern world. This survey comprehensively reviews Blockchained Federated L...	[ 31546, 29174 ]	Validation
45,349	10	Title: IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation Abstract: In the information age, recommendation systems are vital for efficiently filtering information and identifying user preferences. Online social platforms have enriched these systems by providing valuable auxiliary informatio...	[ 35386, 31085 ]	Train
45,350	26	Title: Understanding and Mitigating Mental Health Misinformation on Video Sharing Platforms Abstract: Despite the ever-strong demand for mental health care globally, access to traditional mental health services remains severely limited expensive, and stifled by stigma and systemic barriers. Thus, over the last few year...	[]	Test
45,351	27	Title: Low computational-cost detection and tracking of dynamic obstacles for mobile robots with RGB-D cameras Abstract: Deploying autonomous robots in crowded indoor environments usually requires them to have accurate dynamic obstacle perception. Although plenty of previous works in the autonomous driving field have i...	[]	Validation
45,352	24	Title: Machine Learning for Partial Differential Equations Abstract: Partial differential equations (PDEs) are among the most universal and parsimonious descriptions of natural physical laws, capturing a rich variety of phenomenology and multi-scale physics in a compact and symbolic representation. This review will exa...	[ 81, 27475, 45411, 39517 ]	Train
45,353	30	Title: Deep Model Compression Also Helps Models Capture Ambiguity Abstract: Natural language understanding (NLU) tasks face a non-trivial amount of ambiguous samples where veracity of their labels is debatable among annotators. NLU models should thus account for such ambiguity, but they approximate the human opinion di...	[]	Test
45,354	16	Title: Deep Class-Incremental Learning: A Survey Abstract: Deep models, e.g., CNNs and Vision Transformers, have achieved impressive achievements in many vision tasks in the closed world. However, novel classes emerge from time to time in our ever-changing world, requiring a learning system to acquire new knowledge con...	[ 7175, 29065, 40086, 14618, 2205, 43933, 4004, 37156, 41381, 8243, 26420, 31037, 15316, 41176, 8281, 4953, 1632, 11243, 4716, 24047 ]	Train
45,355	4	Title: UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware Abstract: Nowadays, IoT devices integrate a wealth of third-party components (TPCs) in firmware to shorten the development cycle. TPCs usually have strict usage specifications, e.g., checking the return value of the function. Violating the ...	[]	Train
45,356	16	Title: ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes Abstract: We present ScanNet++, a large-scale dataset that couples together capture of high-quality and commodity-level geometry and color of indoor scenes. Each scene is captured with a high-end laser scanner at sub-millimeter resolution, along with registe...	[ 30457, 19781 ]	Test
45,357	30	Title: Retrieval of phonemes and Kohonen algorithm Abstract: A phoneme-retrieval technique is proposed, which is due to the particular way of the construction of the network. An initial set of neurons is given. The number of these neurons is approximately equal to the number of typical structures of the data. For examp...	[]	Test
45,358	24	Title: A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems Abstract: Deep neural networks (DNNs) and, in particular, convolutional neural networks (CNNs) have brought significant advances in a wide range of modern computer application problems. However, th...	[]	Train
45,359	37	Title: Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries Abstract: This paper presents predicate transfer, a novel method that optimizes join performance by pre-filtering tables to reduce the join input sizes. Predicate transfer generalizes Bloom join, which conducts pre-filtering within a single join o...	[]	Validation
45,360	6	Title: LLM-Based Interaction for Content Generation: A Case Study on the Perception of Employees in an IT Department Abstract: In the past years, AI has seen many advances in the field of NLP. This has led to the emergence of LLMs, such as the now famous GPT-3.5, which revolutionise the way humans can access or generat...	[]	Train
45,361	6	Title: NFTDisk: Visual Detection of Wash Trading in NFT Markets Abstract: With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets, various fraudulent activities have appeared in NFT markets. Among them, wash trading has become one of the most common frauds in NFT markets, which attempts t...	[ 21562, 26090 ]	Train
45,362	22	Title: ANPL: Compiling Natural Programs with Interactive Decomposition Abstract: The advents of Large Language Models (LLMs) have shown promise in augmenting programming using natural interactions. However, while LLMs are proficient in compiling common usage patterns into a programming language, e.g., Python, it remain...	[ 19747, 13510, 23276, 37740, 22578, 33853, 36754, 3609, 634, 17789, 1854, 42270 ]	Test
45,363	24	Title: In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation Abstract: Out-of-distribution (OOD) detection is the problem of identifying inputs which are unrelated to the in-distribution task. The OOD detection performance when the in-distribution (ID) is ImageNet-1K is commonly being tested on a small ra...	[ 18945, 29307, 42651, 23727 ]	Train
45,364	10	Title: Generating Language Corrections for Teaching Physical Control Tasks Abstract: AI assistance continues to help advance applications in education, from language learning to intelligent tutoring systems, yet current methods for providing students feedback are still quite limited. Most automatic feedback systems eit...	[ 7657, 38091, 11548, 39823 ]	Validation
45,365	2	Title: Explorations in Subexponential non-associative non-commutative Linear Logic (extended version) Abstract: In a previous work we introduced a non-associative non-commutative logic extended by multimodalities, called subexponentials, licensing local application of structural rules. Here, we further explore this sys...	[]	Validation
45,366	16	Title: Human from Blur: Human Pose Tracking from Blurry Images Abstract: We propose a method to estimate 3D human poses from substantially blurred images. The key idea is to tackle the inverse problem of image deblurring by modeling the forward problem with a 3D human model, a texture map, and a sequence of poses to de...	[]	Train
45,367	25	Title: Say Goodbye to RNN-T Loss: A Novel CIF-based Transducer Architecture for Automatic Speech Recognition Abstract: RNN-T models are widely used in ASR, which rely on the RNN-T loss to achieve length alignment between input audio and target sequence. However, the implementation complexity and the alignment-based opt...	[]	Test
45,368	4	Title: Blockchain technology research and application: a systematic literature review and future trends Abstract: Blockchain, as the basis for cryptocurrencies, has received extensive attentions recently. Blockchain serves as an immutable distributed ledger technology which allows transactions to be carried out credibl...	[ 24707 ]	Validation
45,369	31	Title: Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard Abstract: BEIR is a benchmark dataset for zero-shot evaluation of information retrieval models across 18 different domain/task combinations. In recent years, we have witnessed the growing popularity of a representation learning...	[ 2417, 9804 ]	Train
45,370	31	Title: Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation Abstract: Research on debiased recommendation has shown promising results. However, some issues still need to be handled for its application in industrial recommendation. For example, most of the existing methods require some ...	[]	Test
45,371	24	Title: IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making Abstract: Market making (MM) has attracted significant attention in financial trading owing to its essential function in ensuring market liquidity. With strong capabilities in sequential decision...	[]	Train
45,372	13	Title: Online Spatio-Temporal Learning with Target Projection Abstract: Recurrent neural networks trained with the backpropagation through time (BPTT) algorithm have led to astounding successes in various temporal tasks. However, BPTT introduces severe limitations, such as the requirement to propagate information backw...	[ 33811 ]	Train
45,373	3	Title: Impacts of Differential Privacy on Fostering more Racially and Ethnically Diverse Elementary Schools Abstract: In the face of increasingly severe privacy threats in the era of data and AI, the US Census Bureau has recently adopted differential privacy, the de facto standard of privacy protection for the 2020 Cen...	[ 22944, 2182 ]	Test
45,374	9	Title: Unprovability of Strong Complexity Lower Bounds in Bounded Arithmetic Abstract: While there has been progress in establishing the unprovability of complexity statements in lower fragments of bounded arithmetic, understanding the limits of Jerabek’s theory APC1 (2007) and of higher levels of Buss’s hierarchy S2i ...	[]	Train
45,375	27	Title: Integrated Ray-Tracing and Coverage Planning Control using Reinforcement Learning Abstract: In this work we propose a coverage planning control approach which allows a mobile agent, equipped with a controllable sensor (i.e., a camera) with limited sensing domain (i.e., finite sensing range and angle of view), to...	[ 6352, 29778, 38244, 5581 ]	Train
45,376	4	Title: Fast and Frobenius: Rational Isogeny Evaluation over Finite Fields Abstract: Consider the problem of efficiently evaluating isogenies $\phi: E \to E/H$ of elliptic curves over a finite field $\mathbb{F}_q$, where the kernel $H = \langle G\rangle$ is a cyclic group of odd (prime) order: given $E$, $G$, and a poin...	[]	Train
45,377	16	Title: Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions Abstract: We propose a novel unsupervised method to autoregressively generate videos from a single frame and a sparse motion input. Our trained model can generate realistic object-to-object interactions and separate the dynamics ...	[]	Test

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