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
28,378	30	Title: Faithful to Whom? Questioning Interpretability Measures in NLP Abstract: A common approach to quantifying model interpretability is to calculate faithfulness metrics based on iteratively masking input tokens and measuring how much the predicted label changes as a result. However, we show that such metrics are ge...	[]	Validation
28,379	16	Title: CC3D: Layout-Conditioned Generation of Compositional 3D Scenes Abstract: In this work, we introduce CC3D, a conditional generative model that synthesizes complex 3D scenes conditioned on 2D semantic scene layouts, trained using single-view images. Different from most existing 3D GANs that limit their applicabili...	[ 25057, 39746, 43399, 11405, 4559, 6716, 29439 ]	Validation
28,380	30	Title: SONAR: Sentence-Level Multimodal and Language-Agnostic Representations Abstract: We introduce SONAR, a new multilingual and multimodal fixed-size sentence embedding space. Our single text encoder, covering 200 languages, substantially outperforms existing sentence embeddings such as LASER3 and LabSE on the xsim ...	[]	Train
28,381	27	Title: A Novel Low-Cost, Recyclable, Easy-to-Build Robot Blimp For Transporting Supplies in Hard-to-Reach Locations Abstract: Rural communities in remote areas often encounter significant challenges when it comes to accessing emergency healthcare services and essential supplies due to a lack of adequate transportation ...	[]	Validation
28,382	16	Title: Directed Diffusion: Direct Control of Object Placement through Attention Guidance Abstract: Text-guided diffusion models such as DALLE-2, Imagen, and Stable Diffusion are able to generate an effectively endless variety of images given only a short text prompt describing the desired image content. In many cases t...	[ 25666, 2211, 9155, 20451, 41988, 31913, 26059, 45933, 8308, 28532, 30360, 34141, 16381 ]	Train
28,383	24	Title: PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series Abstract: PyPOTS is an open-source Python library dedicated to data mining and analysis on multivariate partially-observed time series, i.e. incomplete time series with missing values, A.K.A. irregularlysampled time series. Particularly, ...	[ 2171 ]	Train
28,384	24	Title: Minimizing Dynamic Regret on Geodesic Metric Spaces Abstract: In this paper, we consider the sequential decision problem where the goal is to minimize the general dynamic regret on a complete Riemannian manifold. The task of offline optimization on such a domain, also known as a geodesic metric space, has recent...	[ 38546, 25165 ]	Train
28,385	24	Title: DataAssist: A Machine Learning Approach to Data Cleaning and Preparation Abstract: Current automated machine learning (ML) tools are model-centric, focusing on model selection and parameter optimization. However, the majority of the time in data analysis is devoted to data cleaning and wrangling, for which limit...	[]	Test
28,386	16	Title: Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives Abstract: Planktonic organisms are key components of aquatic ecosystems and respond quickly to changes in the environment, therefore their monitoring is vital to understand the changes in the environment. Yet, ...	[]	Train
28,387	24	Title: A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data Abstract: Low-fidelity data is typically inexpensive to generate but inaccurate. On the other hand, high-fidelity data is accurate but expensive to obtain. Multi-fidelity methods use a small set of high-fidelity data to enh...	[]	Train
28,388	30	Title: UMSE: Unified Multi-scenario Summarization Evaluation Abstract: Summarization quality evaluation is a non-trivial task in text summarization. Contemporary methods can be mainly categorized into two scenarios: (1) reference-based: evaluating with human-labeled reference summary; (2) reference-free: evaluating the...	[]	Train
28,389	24	Title: Transformer-based models and hardware acceleration analysis in autonomous driving: A survey Abstract: Transformer architectures have exhibited promising performance in various autonomous driving applications in recent years. On the other hand, its dedicated hardware acceleration on portable computational platfor...	[ 17612, 9107, 18360, 24600, 8703 ]	Test
28,390	36	Title: Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games Abstract: We introduce a new approach for computing optimal equilibria via learning in games. It applies to extensive-form settings with any number of players, including mechanism design, information design, and solution co...	[ 28690, 19695, 7452, 14119 ]	Train
28,391	24	Title: Inferring dynamic regulatory interaction graphs from time series data with perturbations Abstract: Complex systems are characterized by intricate interactions between entities that evolve dynamically over time. Accurate inference of these dynamic relationships is crucial for understanding and predicting system b...	[]	Test
28,392	30	Title: Prompts Should not be Seen as Secrets: Systematically Measuring Prompt Extraction Attack Success Abstract: The generations of large language models are commonly controlled through prompting techniques, where a user's query to the model is prefixed with a prompt that aims to guide the model's behaviour on the que...	[ 13700, 39079, 18764, 41395, 29396, 10749 ]	Train
28,393	24	Title: Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Abstract: Data collected from the real world tends to be biased, unbalanced, and at risk of exposing sensitive and private information. This reality has given rise to the idea of creating synthetic datasets to alleviate risk, bias, harm, a...	[ 14722, 23540, 15037 ]	Test
28,394	30	Title: Extrinsic Factors Affecting the Accuracy of Biomedical NER Abstract: Biomedical named entity recognition (NER) is a critial task that aims to identify structured information in clinical text, which is often replete with complex, technical terms and a high degree of variability. Accurate and reliable NER can faci...	[]	Test
28,395	10	Title: Information Theory Inspired Pattern Analysis for Time-series Data Abstract: Current methods for pattern analysis in time series mainly rely on statistical features or probabilistic learning and inference methods to identify patterns and trends in the data. Such methods do not generalize well when applied to mult...	[]	Validation
28,396	10	Title: Milestones in Autonomous Driving and Intelligent Vehicles—Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors Abstract: Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Al...	[ 18544, 25763, 32036, 43735 ]	Train
28,397	16	Title: Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing Abstract: Popular social media platforms employ neural network based image moderation engines to classify images uploaded on them as having potentially objectionable content. Such m...	[]	Train
28,398	24	Title: Deep Semi-supervised Anomaly Detection with Metapath-based Context Knowledge Abstract: Graph anomaly detection has attracted considerable attention in recent years. This paper introduces a novel approach that leverages metapath-based semi-supervised learning, addressing the limitations of previous methods. We pr...	[ 1804 ]	Train
28,399	23	Title: BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems Abstract: Testing Autonomous Driving Systems (ADSs) is a critical task for ensuring the reliability and safety of autonomous vehicles. Existing methods mainly focus on searching for safety violations while the diversity of the generate...	[]	Validation
28,400	25	Title: AudRandAug: Random Image Augmentations for Audio Classification Abstract: Data augmentation has proven to be effective in training neural networks. Recently, a method called RandAug was proposed, randomly selecting data augmentation techniques from a predefined search space. RandAug has demonstrated significant ...	[ 40984, 31868 ]	Train
28,401	26	Title: Event Detection from Social Media Stream: Methods, Datasets and Opportunities Abstract: Social media streams contain large and diverse amount of information, ranging from daily-life stories to the latest global and local events and news. Twitter, especially, allows a fast spread of events happening real time, an...	[]	Train
28,402	16	Title: SCOPE: Structural Continuity Preservation for Medical Image Segmentation Abstract: Although the preservation of shape continuity and physiological anatomy is a natural assumption in the segmentation of medical images, it is often neglected by deep learning methods that mostly aim for the statistical modeling of ...	[]	Train
28,403	16	Title: LLMVA-GEBC: Large Language Model with Video Adapter for Generic Event Boundary Captioning Abstract: Our winning entry for the CVPR 2023 Generic Event Boundary Captioning (GEBC) competition is detailed in this paper. Unlike conventional video captioning tasks, GEBC demands that the captioning model possess an und...	[ 10624, 30745, 4643 ]	Validation
28,404	24	Title: DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction Abstract: Pick-up and Delivery Route Prediction (PDRP), which aims to estimate the future service route of a worker given his current task pool, has received rising attention in recent years. Deep neural networks based o...	[]	Train
28,405	16	Title: Learning Diverse Features in Vision Transformers for Improved Generalization Abstract: Deep learning models often rely only on a small set of features even when there is a rich set of predictive signals in the training data. This makes models brittle and sensitive to distribution shifts. In this work, we first e...	[ 5639, 714, 1971, 30871, 13595 ]	Train
28,406	16	Title: PIQI: perceptual image quality index based on ensemble of Gaussian process regression Abstract: nan	[ 17273, 27345 ]	Train
28,407	24	Title: Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Abstract: How can we learn effective node representations on textual graphs? Graph Neural Networks (GNNs) that use Language Models (LMs) to encode textual information of graphs achieve state-of-the-art performance in many node classification ...	[ 6586, 23398, 31375 ]	Train
28,408	30	Title: SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples Abstract: Detecting negatives (such as non-entailment relationships, unanswerable questions, and false claims) is an important and challenging aspect of many natural language understanding tasks. Though manually collecting challenging neg...	[]	Validation
28,409	16	Title: Single-View Height Estimation with Conditional Diffusion Probabilistic Models Abstract: Digital Surface Models (DSM) offer a wealth of height information for understanding the Earth's surface as well as monitoring the existence or change in natural and man-made structures. Classical height estimation requires mu...	[]	Train
28,410	37	Title: Differentially Private Data Release over Multiple Tables Abstract: We study synthetic data release for answering multiple linear queries over a set of database tables in a differentially private way. Two special cases have been considered in the literature: how to release a synthetic dataset for answering multip...	[]	Train
28,411	3	Title: An Open Dataset of Sensor Data from Soil Sensors and Weather Stations at Production Farms Abstract: Weather and soil conditions are particularly important when it comes to farming activities. Study of these factors and their role in nutrient and nitrate absorption rates can lead to useful insights with benefits ...	[]	Validation
28,412	26	Title: Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning Abstract: Consumer generated media (CGM), such as social networking services rely on the voluntary activity of users to prosper, garnering the psychological rewards of feeling connected with other people through comments and...	[]	Validation
28,413	16	Title: Dynamic Local Feature Aggregation for Learning on Point Clouds Abstract: Existing point cloud learning methods aggregate features from neighbouring points relying on constructing graph in the spatial domain, which results in feature update for each point based on spatially-fixed neighbours throughout layers. In ...	[]	Train
28,414	10	Title: Learning Universal Policies via Text-Guided Video Generation Abstract: A goal of artificial intelligence is to construct an agent that can solve a wide variety of tasks. Recent progress in text-guided image synthesis has yielded models with an impressive ability to generate complex novel images, exhibiting combi...	[ 2528, 20484, 37252, 1318, 13640, 39464, 9994, 14427, 6668, 20971, 26059, 14991, 28827, 14100, 35541, 9019 ]	Train
28,415	24	Title: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency Abstract: Recent works have explored the use of weight sparsity to improve the training efficiency (test accuracy w.r.t training FLOPs) of deep neural networks (DNNs). These works aim to reduce training FLOPs but training with sparse weights ofte...	[ 7248 ]	Test
28,416	6	Title: LMCanvas: Object-Oriented Interaction to Personalize Large Language Model-Powered Writing Environments Abstract: Large language models (LLMs) can enhance writing by automating or supporting specific tasks in writers' workflows (e.g., paraphrasing, creating analogies). Leveraging this capability, a collection of ...	[ 9681 ]	Validation
28,417	30	Title: What Makes a Good Paraphrase: Do Automated Evaluations Work? Abstract: Paraphrasing is the task of expressing an essential idea or meaning in different words. But how different should the words be in order to be considered an acceptable paraphrase? And can we exclusively use automated metrics to evaluate the qua...	[]	Test
28,418	4	Title: Keystroke Dynamics: Concepts, Techniques, and Applications Abstract: Reliably identifying and authenticating users remains integral to computer system security. Various novel authentication tenchniques such as biometric authentication systems have been devised in recent years. This paper surveys keystroke-based ...	[]	Train
28,419	27	Title: Robot Health Indicator: A Visual Cue to Improve Level of Autonomy Switching Systems Abstract: Using different Levels of Autonomy (LoA), a human operator can vary the extent of control they have over a robot's actions. LoAs enable operators to mitigate a robot's performance degradation or limitations in the its a...	[]	Train
28,420	6	Title: TDANetVis: Suggesting temporal resolutions for graph visualization using zigzag persistent homology Abstract: Temporal graphs are commonly used to represent complex systems and track the evolution of their constituents over time. Visualizing these graphs is crucial as it allows one to quickly identify anomalies,...	[]	Train
28,421	9	Title: Simple Combinatorial Construction of the ko(1)-Lower Bound for Approximating the Parameterized k-Clique Abstract: In the parameterized $k$-clique problem, or $k$-Clique for short, we are given a graph $G$ and a parameter $k\ge 1$. The goal is to decide whether there exist $k$ vertices in $G$ that induce a comple...	[]	Train
28,422	24	Title: Pruning the Unlabeled Data to Improve Semi-Supervised Learning Abstract: In the domain of semi-supervised learning (SSL), the conventional approach involves training a learner with a limited amount of labeled data alongside a substantial volume of unlabeled data, both drawn from the same underlying distribution....	[ 9357 ]	Train
28,423	10	Title: Deep reinforcement learning for the dynamic vehicle dispatching problem: An event-based approach Abstract: The dynamic vehicle dispatching problem corresponds to deciding which vehicles to assign to requests that arise stochastically over time and space. It emerges in diverse areas, such as in the assignment of ...	[]	Train
28,424	10	Title: Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning Abstract: Objective: The artificial pancreas (AP) has shown promising potential in achieving closed-loop glucose control for individuals with type 1 diabetes mellitus (T1DM). However, designing an effective control policy for ...	[]	Train
28,425	10	Title: On the Computation of Meaning, Language Models and Incomprehensible Horrors Abstract: We integrate foundational theories of meaning with a mathematical formalism of artificial general intelligence (AGI) to offer a comprehensive mechanistic explanation of meaning, communication, and symbol emergence. This synthes...	[ 42492, 33221, 7870 ]	Train
28,426	30	Title: On Bias and Fairness in NLP: How to have a fairer text classification? Abstract: In this paper, we provide a holistic analysis of the different sources of bias, Upstream, Sample and Overampflication biases, in NLP models. We investigate how they impact the fairness of the task of text classification. We also inv...	[ 8648, 17248, 2391 ]	Train
28,427	24	Title: The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions Abstract: We introduce dataset multiplicity, a way to study how inaccuracies, uncertainty, and social bias in training datasets impact test-time predictions. The dataset multiplicity framework asks a counterfactual question of what the set...	[]	Test
28,428	16	Title: SimMatchV2: Semi-Supervised Learning with Graph Consistency Abstract: Semi-Supervised image classification is one of the most fundamental problem in computer vision, which significantly reduces the need for human labor. In this paper, we introduce a new semi-supervised learning algorithm - SimMatchV2, which form...	[ 18782 ]	Validation
28,429	22	Title: Responsive Parallelism with Synchronization Abstract: Many concurrent programs assign priorities to threads to improve responsiveness. When used in conjunction with synchronization mechanisms such as mutexes and condition variables, however, priorities can lead to priority inversions, in which high-priority thre...	[]	Validation
28,430	24	Title: From Contextual Data to Newsvendor Decisions: On the Actual Performance of Data-Driven Algorithms Abstract: In this work, we explore a framework for contextual decision-making to study how the relevance and quantity of past data affects the performance of a data-driven policy. We analyze a contextual Newsvendor ...	[]	Test
28,431	16	Title: Box-DETR: Understanding and Boxing Conditional Spatial Queries Abstract: Conditional spatial queries are recently introduced into DEtection TRansformer (DETR) to accelerate convergence. In DAB-DETR, such queries are modulated by the so-called conditional linear projection at each decoder stage, aiming to search ...	[ 968 ]	Train
28,432	30	Title: FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis Abstract: This paper presents a novel approach for explainability in financial analysis by utilizing the Pearson correlation coefficient to establish a relationship between aspect-based sentiment analysis and stock prices. The proposed methodo...	[]	Train
28,433	30	Title: Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality Abstract: Dialogue summarization aims to condense a given dialogue into a simple and focused summary text. Typically, both the roles’ viewpoints and conversational topics change in the dialogue stream. Thus how to effectively h...	[ 10099 ]	Train
28,434	3	Title: Functional Consistency across Retail Central Bank Digital Currency and Commercial Bank Money Abstract: Central banks are actively exploring central bank digital currencies (CBDCs) by conducting research, proofs of concept and pilots. However, adoption of a retail CBDC can risk fragmenting both payments markets a...	[ 42845 ]	Validation
28,435	6	Title: Conversational AI-Powered Design: ChatGPT as Designer, User, and Product Abstract: The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a huma...	[ 8208, 28033, 3518 ]	Train
28,436	16	Title: Diffusion Probabilistic Fields Abstract: Diffusion probabilistic models have quickly become a major approach for generative modeling of images, 3D geometry, video and other domains. However, to adapt diffusion generative modeling to these domains the denoising network needs to be carefully designed for each doma...	[ 20577, 39256, 34193, 8308, 6488, 219, 32952 ]	Test
28,437	30	Title: BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation Abstract: Although neural-based machine translation evaluation metrics, such as COMET or BLEURT, have achieved strong correlations with human judgements, they are sometimes unreliable in detecting certain phenome...	[ 8008, 34748 ]	Train
28,438	7	Title: Finite Strain Topology Optimization with Nonlinear Stability Constraints Abstract: nan	[]	Train
28,439	3	Title: Generative AI and the Digital Commons Abstract: Many generative foundation models (or GFMs) are trained on publicly available data and use public infrastructure, but 1) may degrade the"digital commons"that they depend on, and 2) do not have processes in place to return value captured to data producers and stakeh...	[ 13082, 7973, 1917, 44666 ]	Test
28,440	30	Title: Time Travel in LLMs: Tracing Data Contamination in Large Language Models Abstract: Data contamination, i.e., the presence of test data from downstream tasks in the training data of large language models (LLMs), is a potential major issue in understanding LLMs' effectiveness on other tasks. We propose a straightf...	[ 13700, 33220, 13510, 109, 36179, 43641, 12602, 35580, 29375 ]	Train
28,441	4	Title: BackdoorBox: A Python Toolbox for Backdoor Learning Abstract: Third-party resources ($e.g.$, samples, backbones, and pre-trained models) are usually involved in the training of deep neural networks (DNNs), which brings backdoor attacks as a new training-phase threat. In general, backdoor attackers intend to impl...	[ 30307, 18149, 26251, 42093, 32333, 22031, 40597, 20604 ]	Train
28,442	30	Title: Substitution-based Semantic Change Detection using Contextual Embeddings Abstract: Measuring semantic change has thus far remained a task where methods using contextual embeddings have struggled to improve upon simpler techniques relying only on static word vectors. Moreover, many of the previously proposed appr...	[]	Validation
28,443	10	Title: AI-Generated Content (AIGC): A Survey Abstract: To address the challenges of digital intelligence in the digital economy, artificial intelligence-generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist or replace manual content generation by generating content based on user-inputted key...	[ 38053, 20070, 10124, 39340, 38734, 37211, 10651, 8087, 12888, 5499, 39324, 20031 ]	Train
28,444	30	Title: Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues Abstract: User Satisfaction Modeling (USM) is one of the popular choices for task-oriented dialogue systems evaluation, where user satisfaction typically depends on whether the user’s task goals were fulfilled by the system. Task-oriented dialo...	[ 6048, 21966 ]	Train
28,445	24	Title: Do We Really Need Graph Neural Networks for Traffic Forecasting? Abstract: Spatio-temporal graph neural networks (STGNN) have become the most popular solution to traffic forecasting. While successful, they rely on the message passing scheme of GNNs to establish spatial dependencies between nodes, and thus inevit...	[ 44744, 35597, 25970, 36791, 13688, 39454 ]	Train
28,446	16	Title: Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation Abstract: Modern displays are capable of rendering video content with high dynamic range (HDR) and wide color gamut (WCG). However, the majority of available resources are still in standard dynamic range (SDR). As a result, there is significant va...	[ 17420 ]	Test
28,447	24	Title: Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model Abstract: This paper presents an ensemble data assimilation method using the pseudo ensembles generated by denoising diffusion probabilistic model. Since the model is trained against noisy and sparse observ...	[]	Test
28,448	16	Title: DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation with Occupancy Prior Abstract: We present DiffRoom, a novel framework for tackling the problem of high-quality 3D indoor room reconstruction and generation, both of which are challenging due to the complexity and diversity of the room g...	[]	Train
28,449	24	Title: On-Device Learning with Binary Neural Networks Abstract: Existing Continual Learning (CL) solutions only partially address the constraints on power, memory and computation of the deep learning models when deployed on low-power embedded CPUs. In this paper, we propose a CL solution that embraces the recent advanc...	[ 8826 ]	Train
28,450	30	Title: Enhancing Subtask Performance of Multi-modal Large Language Model Abstract: Multi-modal Large Language Model (MLLM) refers to a model expanded from a Large Language Model (LLM) that possesses the capability to handle and infer multi-modal data. Current MLLMs typically begin by using LLMs to decompose tasks into ...	[ 19747, 37987, 15301, 42983, 38734, 13935, 41104, 6963, 25235, 3609, 45242, 27454 ]	Train
28,451	13	Title: Efficient Decoding of Compositional Structure in Holistic Representations Abstract: Abstract We investigate the task of retrieving information from compositional distributed representations formed by hyperdimensional computing/vector symbolic architectures and present novel techniques that achieve new informatio...	[ 45917, 37959 ]	Train
28,452	23	Title: Improving the Quality of Commit Messages in Students’ Projects Abstract: Commit messages play a crucial role in collaborative software development. They provide a clear and concise description of the changes made to the source code. However, many commit messages among students’ projects lack useful information. ...	[ 32597 ]	Train
28,453	24	Title: A Comprehensive Review of Automated Data Annotation Techniques in Human Activity Recognition Abstract: Human Activity Recognition (HAR) has become one of the leading research topics of the last decade. As sensing technologies have matured and their economic costs have declined, a host of novel applications, e.g....	[]	Train
28,454	16	Title: Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes Abstract: Reconstruction and intrinsic decomposition of scenes from captured imagery would enable many applications such as relighting and virtual object insertion. Recent NeRF based methods achieve impressive fidelity of...	[ 41680, 13337, 41155, 28673 ]	Train
28,455	31	Title: ConsRec: Learning Consensus Behind Interactions for Group Recommendation Abstract: Since group activities have become very common in daily life, there is an urgent demand for generating recommendations for a group of users, referred to as group recommendation task. Existing group recommendation methods usually i...	[ 13396, 27151 ]	Train
28,456	16	Title: LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion Abstract: As an emerging technology and a relatively affordable device, the 4D imaging radar has already been confirmed effective in performing 3D object detection in autonomous driving. Nevertheless, the sparsity and noisiness ...	[ 17091, 7948, 21776, 594, 12092, 6621 ]	Test
28,457	25	Title: Improving Domain Generalization for Sound Classification with Sparse Frequency-Regularized Transformer Abstract: Sound classification models’ performance suffers from generalizing on out-of-distribution (OOD) data. Numerous methods have been proposed to help the model generalize. However, most either introduce i...	[]	Test
28,458	6	Title: Perceived Trustworthiness of Natural Language Generators Abstract: Natural Language Generation tools, such as chatbots that can generate human-like conversational text, are becoming more common both for personal and professional use. However, there are concerns about their trustworthiness and ethical implication...	[ 17938 ]	Train
28,459	4	Title: "We've Disabled MFA for You": An Evaluation of the Security and Usability of Multi-Factor Authentication Recovery Deployments Abstract: Multi-Factor Authentication is intended to strengthen the security of password-based authentication by adding another factor, such as hardware tokens or one-time passwords using...	[]	Train
28,460	16	Title: Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization Abstract: Realistic image super-resolution (Real-ISR) aims to reproduce perceptually realistic image details from a low-quality input. The commonly used adversarial training based Real-ISR methods often introduce unnat...	[ 10624, 20484, 40943, 34074, 125 ]	Train
28,461	16	Title: Towards early prediction of neurodevelopmental disorders: Computational model for Face Touch and Self-adaptors in Infants Abstract: Infants' neurological development is heavily influenced by their motor skills. Evaluating a baby's movements is key to understanding possible risks of developmental disorders in the...	[]	Train
28,462	16	Title: iDisc: Internal Discretization for Monocular Depth Estimation Abstract: Monocular depth estimation is fundamental for 3D scene understanding and downstream applications. However, even under the supervised setup, it is still challenging and ill-posed due to the lack of full geometric constraints. Although a scene...	[ 45506 ]	Train
28,463	16	Title: EfficientTempNet: Temporal Super-Resolution of Radar Rainfall Abstract: Rainfall data collected by various remote sensing instruments such as radars or satellites has different space-time resolutions. This study aims to improve the temporal resolution of radar rainfall products to help with more accurate climate...	[]	Train
28,464	16	Title: PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds Abstract: In order to deal with the sparse and unstructured raw point clouds, most LiDAR based 3D object detection research focuses on designing dedicated local point aggregators for fine-grained geometrical modeling. In this pa...	[ 26553, 12092 ]	Validation
28,465	5	Title: GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs Abstract: Today's graphics processing unit (GPU) applications produce vast volumes of data, which are challenging to store and transfer efficiently. Thus, data compression is becoming a critical technique to mitigate the storage burde...	[]	Train
28,466	15	Title: OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science Abstract: In many experiment-driven scientific domains, such as high-energy physics, material science, and cosmology, high data rate experiments impose hard constraints on data acquisition systems: collected data must eit...	[]	Train
28,467	16	Title: Temporal Label-Refinement for Weakly-Supervised Audio-Visual Event Localization Abstract: Audio-Visual Event Localization (AVEL) is the task of temporally localizing and classifying \emph{audio-visual events}, i.e., events simultaneously visible and audible in a video. In this paper, we solve AVEL in a weakly-su...	[]	Test
28,468	24	Title: The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms Abstract: We propose a novel approach to addressing two fundamental challenges in Model-based Reinforcement Learning (MBRL): the computational expense of repeatedly finding a good policy in the learned model, and the objective mismatch...	[ 22816 ]	Train
28,469	27	Title: An Application of Stereo Thermal Vision for Preliminary Inspection of Electrical Power Lines by MAVs Abstract: An application of stereo thermal vision to perform preliminary inspection operations of electrical power lines by a particular class of small Unmanned Aerial Vehicles (UAVs), aka Micro Unmanned Aerial V...	[ 22017, 4483, 27877, 35213, 19735, 38809, 45306 ]	Train
28,470	24	Title: Dynamic Sparse Training with Structured Sparsity Abstract: Dynamic Sparse Training (DST) methods achieve state-of-the-art results in sparse neural network training, matching the generalization of dense models while enabling sparse training and inference. Although the resulting models are highly sparse and theore...	[ 30732 ]	Train
28,471	24	Title: Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels Abstract: Conventional multi-label classification (MLC) methods assume that all samples are fully labeled and identically distributed. Unfortunately, this assumption is unrealistic in large-scale MLC da...	[ 14560 ]	Train
28,472	37	Title: SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines Abstract: The goal of entity resolution is to identify records in multiple datasets that represent the same real-world entity. However, comparing all records across datasets can be computationally intensive, leading to long runtimes. To...	[ 817 ]	Train
28,473	24	Title: Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition Abstract: Neural Network designs are quite diverse, from VGG-style to ResNet-style, and from Convolutional Neural Networks to Transformers. Towards the design of efficient accelerators, many works have adopted a dataflow-base...	[]	Train
28,474	38	Title: Reception Reader: Exploring Text Reuse in Early Modern British Publications Abstract: The Reception Reader is a web tool for studying text reuse in the Early English Books Online (EEBO-TCP) and Eighteenth Century Collections Online (ECCO) data. Users can: 1) explore a visual overview of the reception of a work, ...	[]	Test
28,475	23	Title: HITA: An Architecture for System-level Testing of Healthcare IoT Applications Abstract: System-level testing of healthcare Internet of Things (IoT_ applications requires creating a test infrastructure with integrated medical devices and third-party applications. A significant challenge in creating such test infr...	[]	Train
28,476	30	Title: Probing Quantifier Comprehension in Large Language Models Abstract: With their increasing size, large language models (LLMs) are becoming increasingly good at language understanding tasks. But even with high performance on specific downstream task, LLMs fail at simple linguistic tests for negation or quantifier ...	[ 13700, 975 ]	Validation
28,477	36	Title: Asynchronous Decentralized Q-Learning: Two Timescale Analysis By Persistence Abstract: Non-stationarity is a fundamental challenge in multi-agent reinforcement learning (MARL), where agents update their behaviour as they learn. Many theoretical advances in MARL avoid the challenge of non-stationarity by coordina...	[ 41266, 19541 ]	Train

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