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
17,378	16	Title: SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions Abstract: The remarkable capabilities of pretrained image diffusion models have been utilized not only for generating fixed-size images but also for creating panoramas. However, naive stitching of multiple images often results in visible seams. Re...	[ 4481, 19585, 26625, 680, 3912, 23563, 15628, 27823, 8308, 20949, 34167, 34074 ]	Train
17,379	24	Title: Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression Abstract: The origin of adversarial examples is still inexplicable in research fields, and it arouses arguments from various view-points, albeit comprehensive investigati...	[ 45858 ]	Validation
17,380	24	Title: On Pitfalls of Test-Time Adaptation Abstract: Test-Time Adaptation (TTA) has recently emerged as a promising approach for tackling the robustness challenge under distribution shifts. However, the lack of consistent settings and systematic studies in prior literature hinders thorough assessments of existing metho...	[ 32448, 13465, 43608 ]	Test
17,381	24	Title: Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications Abstract: nan	[]	Train
17,382	24	Title: Understanding the Effectiveness of Early Weight Averaging for Training Large Language Models Abstract: Training LLMs is expensive, and recent evidence indicates training all the way to convergence is inefficient. In this paper, we investigate the ability of a simple idea, checkpoint averaging along the trajector...	[ 13700, 28325, 2347, 16911, 32944, 15345, 35955, 39290, 29375 ]	Train
17,383	6	Title: Smart Dimming Sunglasses for Photophobia Using Spatial Light Modulator Abstract: We introduce a smart dimming sunglasses system designed for photophobia sufferers, particularly those highly sensitive to light intensity. The system incorporates a spatial light modulator (SLM) to filter light based on camera-detec...	[]	Test
17,384	23	Title: Designing Adaptive Developer-Chatbot Interactions: Context Integration, Experimental Studies, and Levels of Automation Abstract: The growing demand for software developers and the increasing development complexity have emphasized the need for support in software engineering projects. This is espe-cially relevant...	[]	Train
17,385	16	Title: Leveraging Inpainting for Single-Image Shadow Removal Abstract: Fully-supervised shadow removal methods achieve the best restoration qualities on public datasets but still generate some shadow remnants. One of the reasons is the lack of large-scale shadow&shadow-free image pairs. Unsupervised methods can allevia...	[]	Train
17,386	30	Title: DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems Abstract: Dialogue act annotations are important to improve response generation quality in task-oriented dialogue systems. However, it can be challenging to use dialogue acts to control response generation in a ...	[ 18308 ]	Train
17,387	20	Title: Economical Convex Coverings and Applications Abstract: Coverings of convex bodies have emerged as a central component in the design of efficient solutions to approximation problems involving convex bodies. Intuitively, given a convex body $K$ and $\epsilon>0$, a covering is a collection of convex bodies whose un...	[ 16104, 25857, 21437 ]	Train
17,388	39	Title: Irreducibility of Recombination Markov Chains in the Triangular Lattice Abstract: In the United States, regions are frequently divided into districts for the purpose of electing representatives. How the districts are drawn can affect who's elected, and drawing districts to give an advantage to a certain group is...	[]	Validation
17,389	24	Title: A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics Abstract: In many contexts, customized and weighted classification scores are designed in order to evaluate the goodness of the predictions carried out by neural networks. How...	[]	Train
17,390	16	Title: Going Denser with Open-Vocabulary Part Segmentation Abstract: Object detection has been expanded from a limited number of categories to open vocabulary. Moving forward, a complete intelligent vision system requires understanding more fine-grained object descriptions, object parts. In this paper, we propose a det...	[ 10624, 17633, 37987, 19747, 42599, 28141, 22222, 23152, 42679, 3609, 31323, 13564, 42270 ]	Test
17,391	37	Title: Distributed Subweb Specifications for Traversing the Web Abstract: Link traversal–based query processing (ltqp), in which a sparql query is evaluated over a web of documents rather than a single dataset, is often seen as a theoretically interesting yet impractical technique. However, in a time where the hyperc...	[]	Train
17,392	24	Title: Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Abstract: Focus in Explainable AI is shifting from explanations defined in terms of low-level elements, such as input features, to explanations encoded in terms of interpretable concepts learned fr...	[]	Train
17,393	30	Title: Text-To-KG Alignment: Comparing Current Methods on Classification Tasks Abstract: In contrast to large text corpora, knowledge graphs (KG) provide dense and structured representations of factual information. This makes them attractive for systems that supplement or ground the knowledge found in pre-trained langu...	[]	Validation
17,394	10	Title: A Portrait of Emotion: Empowering Self-Expression through AI-Generated Art Abstract: We investigated the potential and limitations of generative artificial intelligence (AI) in reflecting the authors' cognitive processes through creative expression. The focus is on the AI-generated artwork's ability to understan...	[ 19720 ]	Validation
17,395	16	Title: Image-free Classifier Injection for Zero-Shot Classification Abstract: Zero-shot learning models achieve remarkable results on image classification for samples from classes that were not seen during training. However, such models must be trained from scratch with specialised methods: therefore, access to a train...	[]	Train
17,396	26	Title: Human-Centric Resource Allocation in the Metaverse over Wireless Communications Abstract: The Metaverse will provide numerous immersive applications for human users, by consolidating technologies like extended reality (XR), video streaming, and cellular networks. Optimizing wireless communications to enable the ...	[ 37683 ]	Train
17,397	24	Title: Search for the UGLE Truth: An Investigation into Unsupervised GNN Learning Environments Abstract: Graph Neural Networks (GNNs) are a pertinent tool for any machine learning task due to their ability to learn functions over graph structures, a powerful and expressive data representation. The detection of communit...	[]	Train
17,398	27	Title: Data and Knowledge for Overtaking Scenarios in Autonomous Driving Abstract: Autonomous driving has become one of the most popular research topics within Artificial Intelligence. An autonomous vehicle is understood as a system that combines perception, decision-making, planning, and control. All of those tasks re...	[]	Train
17,399	16	Title: Automatic Illumination Spectrum Recovery Abstract: We develop a deep learning network to estimate the illumination spectrum of hyperspectral images under various lighting conditions. To this end, a dataset, IllumNet, was created. Images were captured using a Specim IQ camera under various illumination conditions...	[]	Test
17,400	24	Title: Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles Abstract: In this paper, we focus on a novel optimization problem in which the objective function is a black-box and can only be evaluated through a ranking oracle. This problem is common in real-world applications, particularl...	[ 40196, 21970, 36084, 7961, 29087 ]	Train
17,401	16	Title: Hyperbolic Geometry in Computer Vision: A Survey Abstract: Hyperbolic geometry, a Riemannian manifold endowed with constant sectional negative curvature, has been considered an alternative embedding space in many learning scenarios, \eg, natural language processing, graph learning, \etc, as a result of its intri...	[ 16502 ]	Train
17,402	23	Title: Tasks Decomposition Approaches in Crowdsourcing Software Development Abstract: A main characteristic of crowdsourcing software development (CSD) is the complexity of tasks and skills required by workers to achieve successful software crowdsourcing. The tasks proposed to the crowd in CSD are checked to ensure the...	[]	Train
17,403	16	Title: Uncertainty in Real-Time Semantic Segmentation on Embedded Systems Abstract: Application for semantic segmentation models in areas such as autonomous vehicles and human computer interaction require real-time predictive capabilities. The challenges of addressing real-time application is amplified by the need to o...	[]	Train
17,404	4	Title: Cybersecurity Training for Users of Remote Computing Abstract: End users of remote computing systems are frequently not aware of basic ways in which they could enhance protection against cyber-threats and attacks. In this paper, we discuss specific techniques to help and train users to improve cybersecurity when...	[]	Train
17,405	10	Title: The Integer Linear Programming Inference Cookbook Abstract: Over the years, integer linear programs have been employed to model inference in many natural language processing problems. This survey is meant to guide the reader through the process of framing a new inference problem as an instance of an integer line...	[]	Train
17,406	16	Title: DREAM: Efficient Dataset Distillation by Representative Matching Abstract: Dataset distillation aims to synthesize small datasets with little information loss from original large-scale ones for reducing storage and training costs. Recent state-of-the-art methods mainly constrain the sample synthesis process by m...	[ 18307, 25417, 1867, 1167, 46101, 30072 ]	Validation
17,407	30	Title: JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving Abstract: Although pre-trained language models~(PLMs) have recently advanced the research progress in mathematical reasoning, they are not specially designed as a capable multi-task solver, suffering from high ...	[]	Test
17,408	6	Title: Smartbanner: intelligent banner design framework that strikes a balance between creative freedom and design rules Abstract: nan	[]	Test
17,409	24	Title: Catching Image Retrieval Generalization Abstract: The concepts of overfitting and generalization are vital for evaluating machine learning models. In this work, we show that the popular Recall@K metric depends on the number of classes in the dataset, which limits its ability to estimate generalization. To fix th...	[]	Train
17,410	16	Title: FAC: 3D Representation Learning via Foreground Aware Feature Contrast Abstract: Contrastive learning has recently demonstrated great potential for unsupervised pre-training in 3D scene understanding tasks. However, most existing work randomly selects point features as anchors while building contrast, leading to ...	[ 37472, 41730, 41292, 17238, 40319 ]	Train
17,411	17	Title: Realistic Volume Rendering with Environment-Synced Illumination in Mixed Reality Abstract: Interactive volume visualization using a mixed reality (MR) system helps provide users with an intuitive spatial perception of volumetric data. Due to sophisticated requirements of user interaction and vision when using MR...	[]	Validation
17,412	16	Title: FastPacket: Towards Pre-trained Packets Embedding based on FastText for next-generation NIDS Abstract: New Attacks are increasingly used by attackers every day but many of them are not detected by Intrusion Detection Systems as most IDS ignore raw packet information and only care about some basic statistical i...	[]	Test
17,413	24	Title: NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation Abstract: As a type of valuable intellectual property (IP), deep neural network (DNN) models have been protected by techniques like watermarking. However, such passive model protection cannot fully prevent model abuse. In this w...	[]	Train
17,414	39	Title: Closeness Centralities of Lollipop Graphs Abstract: Closeness is one of the most studied characteristics of networks. Residual closeness is a very sensitive measure of graphs robustness. Additional closeness is a measure of growth potentials of networks. In this article we calculate the closeness, vertex residua...	[]	Test
17,415	27	Title: Improving Self-Consistency in Underwater Mapping Through Laser-Based Loop Closure Abstract: Accurate, self-consistent bathymetric maps are needed to monitor changes in subsea environments and infrastructure. These maps are increasingly collected by underwater vehicles, and mapping requires an accurate vehicle na...	[ 27691 ]	Train
17,416	16	Title: Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement Abstract: The increasing prevalence of gigapixel resolutions has presented new challenges for crowd counting. Such resolutions are far beyond the memory and computation limits of current GPUs, and available deep neural network architectures an...	[ 39693 ]	Train
17,417	30	Title: PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations Abstract: Nowadays, the quality of responses generated by different modern large language models (LLMs) are hard to evaluate and compare automatically. Recent studies suggest and predominantly use LLMs as a reference-free metric for ope...	[ 38208, 28962, 37411, 39908, 33220, 2622, 16556, 25102, 12628, 38102, 5815, 6328, 1369, 19671, 9403, 889, 39451 ]	Train
17,418	31	Title: Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning Abstract: Multi-task learning (MTL) has been widely applied in online advertising systems. To address the negative transfer issue, recent optimization methods emphasized the gradient alignment of directions or magn...	[]	Train
17,419	34	Title: Enumerating minimal vertex covers and dominating sets with capacity and/or connectivity constraints Abstract: In this paper, we consider the problems of enumerating minimal vertex covers and minimal dominating sets with capacity and/or connectivity constraints. We develop polynomial-delay enumeration algorithms ...	[]	Validation
17,420	1	Title: Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models Abstract: In media industry, the demand of SDR-to-HDRTV upconversion arises when users possess HDR-WCG (high dynamic range-wide color gamut) TVs while most off-the-shelf footage is still in SDR (standard dynamic range). The ...	[ 28446 ]	Train
17,421	3	Title: Human-centric Literature on Trust for SfTI Veracity Spearhead Abstract: This article summarizes the literature on trust of digital technologies from a human-centric perspective. We summarize literature on trust in face-to-face interactions from other fields, followed by a discussion of organizational trust, tech...	[]	Validation
17,422	34	Title: 5-Approximation for $\mathcal{H}$-Treewidth Essentially as Fast as $\mathcal{H}$-Deletion Parameterized by Solution Size Abstract: The notion of $\mathcal{H}$-treewidth, where $\mathcal{H}$ is a hereditary graph class, was recently introduced as a generalization of the treewidth of an undirected graph. Roughly s...	[]	Validation
17,423	16	Title: A Simple and Effective Baseline for Attentional Generative Adversarial Networks Abstract: Synthesising a text-to-image model of high-quality images by guiding the generative model through the Text description is an innovative and challenging task. In recent years, AttnGAN based on the Attention mechanism to guid...	[ 33898 ]	Train
17,424	16	Title: Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms Abstract: Monitoring cow body weight is crucial to support farm management decisions due to its direct relationship with the growth, nutritional status, and health of dairy cows. Cow body weigh...	[]	Train
17,425	23	Title: Combining Contexts from Multiple Sources for Documentation-Specific Code Example Generation Abstract: Code example is a crucial part of good documentation. It helps the developers to understand the documentation easily and use the corresponding code unit (e.g., method) properly. However, many official documentat...	[ 11476 ]	Test
17,426	16	Title: Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Abstract: Unsupervised out-of-distribution (OOD) Detection aims to separate the samples falling outside the distribution of training data without label information. Among numerous branches, contrastive learning has shown its excell...	[]	Train
17,427	31	Title: ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction Abstract: Adverse drug reaction (ADR) prediction plays a crucial role in both health care and drug discovery for reducing patient mortality and enhancing drug safety. Recently, ma...	[]	Train
17,428	16	Title: Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts Abstract: Sparse Mixture-of-Experts models (MoEs) have recently gained popularity due to their ability to decouple model size from inference efficiency by only activating a small subset of the model parameters for any given input token...	[]	Train
17,429	24	Title: Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing Abstract: Transformer models have been widely adopted in various domains over the last years, and especially large language models have advanced the field of AI significantly. Due to their size, the capability of these networks has...	[ 16866, 37732, 36047, 18516, 36887, 31003 ]	Train
17,430	26	Title: A Twitter narrative of the COVID-19 pandemic in Australia Abstract: Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as people discuss what they have seen, heard, or felt. Previous studie...	[ 11373 ]	Validation
17,431	25	Title: Device-Robust Acoustic Scene Classification via Impulse Response Augmentation Abstract: The ability to generalize to a wide range of recording devices is a crucial performance factor for audio classification models. The characteristics of different types of microphones introduce distributional shifts in the digi...	[]	Train
17,432	30	Title: Automatic Generation of German Drama Texts Using Fine Tuned GPT-2 Models Abstract: This study is devoted to the automatic generation of German drama texts. We suggest an approach consisting of two key steps: fine-tuning a GPT-2 model (the outline model) to generate outlines of scenes based on keywords and fine-t...	[ 12487 ]	Test
17,433	16	Title: A One Stop 3D Target Reconstruction and multilevel Segmentation Method Abstract: 3D object reconstruction and multilevel segmentation are fundamental to computer vision research. Existing algorithms usually perform 3D scene reconstruction and target objects segmentation independently, and the performance is not ...	[ 6560, 14168 ]	Train
17,434	24	Title: A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification Abstract: Immune repertoire classification, a typical multiple instance learning (MIL) problem, is a frontier research topic in computational biology that makes transformative co...	[]	Train
17,435	16	Title: Irregular Change Detection in Sparse Bi-Temporal Point Clouds using Learned Place Recognition Descriptors and Point-to-Voxel Comparison Abstract: Change detection and irregular object extraction in 3D point clouds is a challenging task that is of high importance not only for autonomous navigation but also for up...	[ 30305 ]	Validation
17,436	27	Title: Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance Abstract: This paper presents a differential geometric control approach that leverages SE(3) group invariance and equivariance to increase transferability in learning robot manipulation tasks that involve interaction with the ...	[ 35541 ]	Test
17,437	16	Title: Suspicious Vehicle Detection Using Licence Plate Detection And Facial Feature Recognition Abstract: With the increasing need to strengthen vehicle safety and detection, the availability of pre-existing methods of catching criminals and identifying vehicles manually through the various traffic surveillance camera...	[]	Validation
17,438	24	Title: Fairness in Preference-based Reinforcement Learning Abstract: In this paper, we address the issue of fairness in preference-based reinforcement learning (PbRL) in the presence of multiple objectives. The main objective is to design control policies that can optimize multiple objectives while treating each object...	[ 45923, 29751 ]	Train
17,439	39	Title: Quantum Suplattices Abstract: Building on the theory of quantum posets, we introduce a non-commutative version of suplattices, i.e., complete lattices whose morphisms are supremum-preserving maps, which form a step towards a new notion of quantum topological spaces. We show that the theory of these quantum supla...	[]	Validation
17,440	28	Title: Information Bottleneck Revisited: Posterior Probability Perspective with Optimal Transport Abstract: Information bottleneck (IB) is a paradigm to extract information in one target random variable from another relevant random variable, which has aroused great interest due to its potential to explain deep neural n...	[]	Train
17,441	24	Title: EM for Mixture of Linear Regression with Clustered Data Abstract: Modern data-driven and distributed learning frameworks deal with diverse massive data generated by clients spread across heterogeneous environments. Indeed, data heterogeneity is a major bottleneck in scaling up many distributed learning paradigms...	[]	Train
17,442	24	Title: Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython Abstract: This document provides a comprehensive guide to hyperparameter tuning using spotPython for scikit-learn, PyTorch, and river. The first part introduces spotPython's surrogate model-based optimization process, while ...	[]	Train
17,443	5	Title: Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications Abstract: Graphic Processing Units (GPUs) have become ubiquitous in scientific computing. However, writing efficient GPU kernels can be challenging due to the need for careful code tuning. To automatically explore the kernel optimiza...	[]	Validation
17,444	30	Title: World Models for Math Story Problems Abstract: Solving math story problems is a complex task for students and NLP models alike, requiring them to understand the world as described in the story and reason over it to compute an answer. Recent years have seen impressive performance on automatically solving these pr...	[]	Train
17,445	33	Title: Constituency Parsing as an Instance of the M-monoid Parsing Problem Abstract: We consider the constituent parsing problem which states: given a final state normalized constituent tree automaton (CTA) and a string, compute the set of all constituent trees that are inductively recognized by the CTA and yield the s...	[]	Test
17,446	24	Title: Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare Abstract: The prodigious growth of digital health data has precipitated a mounting interest in harnessing machine learning methodologies, such as natural language processing (NLP), to scrutinize medical records, clinical note...	[]	Train
17,447	30	Title: LM vs LM: Detecting Factual Errors via Cross Examination Abstract: A prominent weakness of modern language models (LMs) is their tendency to generate factually incorrect text, which hinders their usability. A natural question is whether such factual errors can be detected automatically. Inspired by truth-seeking...	[ 770, 37411, 13700, 8580, 22286, 44623, 26833, 38102, 42071, 634, 17980, 41053 ]	Train
17,448	16	Title: Interactive Video Corpus Moment Retrieval using Reinforcement Learning Abstract: Known-item video search is effective with human-in-the-loop to interactively investigate the search result and refine the initial query. Nevertheless, when the first few pages of results are swamped with visually similar items, or t...	[]	Train
17,449	16	Title: On the De-duplication of LAION-2B Abstract: Generative models, such as DALL-E, Midjourney, and Stable Diffusion, have societal implications that extend beyond the field of computer science. These models require large image databases like LAION-2B, which contain two billion images. At this scale, manual inspectio...	[ 36611, 549, 1581, 45104, 6513, 20435, 26004, 35930 ]	Test
17,450	28	Title: Resource Allocation for RIS-Assisted Device-to-Device Communications in Heterogeneous Cellular Networks Abstract: In recent years, with the explosive growth of data traffic, communication base stations (BSs) need to serve more and more users. Offloading traffic from BSs has become an efficient way to reduce the ...	[]	Train
17,451	24	Title: Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images from Single 2D Slices Abstract: The computer vision task of reconstructing 3D images, i.e., shapes, from their single 2D image slices is extremely challenging, more so in the regime of limited data. Deep learning models typically ...	[]	Validation
17,452	16	Title: Higher Chest X-ray Resolution Improves Classification Performance Abstract: Deep learning models for image classification are often trained at a resolution of 224 x 224 pixels for historical and efficiency reasons. However, chest X-rays are acquired at a much higher resolution to display subtle pathologies. This...	[]	Validation
17,453	30	Title: Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis Abstract: Generative Adversarial Networks (GAN) is a model for data synthesis, which creates plausible data through the competition of generator and discriminator. Although GAN application to image synthesis is ...	[ 13700 ]	Train
17,454	22	Title: Tail recursion transformation for invertible functions Abstract: Tail recursive functions allow for a wider range of optimisations than general recursive functions. For this reason, much research has gone into the transformation and optimisation of this family of functions, in particular those written in continu...	[]	Train
17,455	2	Title: Dynamic reconfiguration of component-based systems described by propositional configuration logic Abstract: We investigate dynamic reconfigurable component-based systems whose architectures are described by formulas of Propositional Configuration Logics. We present several examples of reconfigurable systems base...	[]	Test
17,456	16	Title: Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting Abstract: As deep convolutional neural networks (DNNs) are widely used in various fields of computer vision, leveraging the overfitting ability of the DNN to achieve video resolution upscaling has become a new trend i...	[]	Validation
17,457	24	Title: Meta Generative Flow Networks with Personalization for Task-Specific Adaptation Abstract: Multi-task reinforcement learning and meta-reinforcement learning have been developed to quickly adapt to new tasks, but they tend to focus on tasks with higher rewards and more frequent occurrences, leading to poor perform...	[ 21081, 15438 ]	Train
17,458	16	Title: PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning Abstract: In this work, we address the task of few-shot part segmentation, which aims to segment the different parts of an unseen object using very few labeled examples. It is found that leveraging the textual space of a powerful pre-trained imag...	[]	Validation
17,459	25	Title: Phase perturbation improves channel robustness for speech spoofing countermeasures Abstract: In this paper, we aim to address the problem of channel robustness in speech countermeasure (CM) systems, which are used to distinguish synthetic speech from human natural speech. On the basis of two hypotheses, we sugge...	[ 21778 ]	Train
17,460	30	Title: SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation Abstract: Dialogue segmentation is a crucial task for dialogue systems allowing a better understanding of conversational texts. Despite recent progress in unsupervised dialogue segmentation methods, their performances are limited by the lac...	[]	Test
17,461	27	Title: LIMIT: Learning Interfaces to Maximize Information Transfer Abstract: Robots can use auditory, visual, or haptic interfaces to convey information to human users. The way these interfaces select signals is typically pre-defined by the designer: for instance, a haptic wristband might vibrate when the robot is movi...	[]	Train
17,462	24	Title: Differentially Private In-Context Learning Abstract: An important question in deploying large language models (LLMs) is how to augment LLMs with private data. We propose Differentially Private In-context Learning (DP-ICL) to enable LLMs to adapt to new tasks while maintaining privacy guarantees. DP-ICL performs ...	[ 8580, 8264, 11893, 35959, 35611, 43327 ]	Validation
17,463	24	Title: MoMo: Momentum Models for Adaptive Learning Rates Abstract: We present new adaptive learning rates that can be used with any momentum method. To showcase our new learning rates we develop MoMo and MoMo-Adam, which are SGD with momentum (SGDM) and Adam together with our new adaptive learning rates. Our MoMo metho...	[ 15816 ]	Test
17,464	27	Title: Mini bot 3D: A ROS based Gazebo Simulation Abstract: The recent adoption of the Robot Operating System (ROS) as a software standard in robotics has contributed to novel solutions for several problems on the area. One such problem is known as Simultaneous Localization and Mapping (SLAM) with autonomous navigation...	[]	Test
17,465	34	Title: Online Matching in Geometric Random Graphs Abstract: In online advertisement, ad campaigns are sequentially displayed to users. Both users and campaigns have inherent features, and the former is eligible to the latter if they are ``similar enough''. We model these interactions as a bipartite geometric random gra...	[]	Test
17,466	27	Title: Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot Abstract: Task automation of surgical robot has the potentials to improve surgical efficiency. Recent reinforcement learning (RL) based approaches provide scalable solutions to surgical automation, but ty...	[ 21080, 39347, 10604, 18590 ]	Validation
17,467	30	Title: Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models Abstract: While pre-trained language models (PLMs) have shown evidence of acquiring vast amounts of knowledge, it remains unclear how much of this parametric knowledge is actually usable in performing downstream tasks. We propose a...	[ 12128, 32450 ]	Train
17,468	9	Title: Solving Projected Model Counting by Utilizing Treewidth and its Limits Abstract: nan	[]	Test
17,469	8	Title: Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning Abstract: Real-time Digital Twinning of physical world scenes onto the Metaverse is necessary for a myriad of applications such as augmented-reality (AR) assisted driving. In AR assisted driving, physical env...	[ 5515 ]	Train
17,470	10	Title: How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 1: A Paradigmatic Theory Abstract: In face of the pressing need of decarbonization in the power sector, the re-design of electricity market is necessary as a Marco-level approach to accommodate the high penetration of renewabl...	[]	Train
17,471	24	Title: Homophily-enhanced Structure Learning for Graph Clustering Abstract: Graph clustering is a fundamental task in graph analysis, and recent advances in utilizing graph neural networks (GNNs) have shown impressive results. Despite the success of existing GNN-based graph clustering methods, they often overlook the q...	[]	Train
17,472	14	Title: Fast Algorithms for Discrete Differential Equations Abstract: Discrete Differential Equations (DDEs) are functional equations that relate algebraically a power series F(t, u) in t with polynomial coefficients in a “catalytic” variable u and the specializations, say at u = 1, of F(t, u) and of some of its partial...	[]	Train
17,473	24	Title: Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library Abstract: Java is very powerful, but in Deep Learning field, its capabilities probably has not been sufficiently exploited. Compared to the Java-based deep-learning-frameworks, the Python-based (PyTorch, TensorFlow,...	[ 26994 ]	Train
17,474	24	Title: Clustering Without an Eigengap Abstract: We study graph clustering in the Stochastic Block Model (SBM) in the presence of both large clusters and small, unrecoverable clusters. Previous approaches achieving exact recovery do not allow any small clusters of size $o(\sqrt{n})$, or require a size gap between the sm...	[]	Train
17,475	24	Title: An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields Abstract: Water current prediction is essential for understanding ecosystems, and to shed light on the role of the ocean in the global climate context. Solutions vary from physical modeling, and long-term observations, to short-t...	[ 11435, 17796 ]	Train
17,476	16	Title: All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation Abstract: Pseudo-labels are widely employed in weakly supervised 3D segmentation tasks where only sparse ground-truth labels are available for learning. Existing methods often rely on empirical label selection str...	[ 37194, 9357 ]	Train
17,477	37	Title: SpotLess: Concurrent Rotational Consensus Made Practical through Rapid View Synchronization Abstract: The emergence of blockchain technology has renewed the interest in consensus-based data management systems that are resilient to failures. To maximize the throughput of these systems, we have recently seen sever...	[ 22919 ]	Test

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