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
16,378	16	Title: PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation Abstract: Visual anomaly detection is essential and commonly used for many tasks in the field of computer vision. Recent anomaly detection datasets mainly focus on industrial automated inspection, medical image analysis ...	[ 17581, 25910 ]	Test
16,379	10	Title: Story Shaping: Teaching Agents Human-like Behavior with Stories Abstract: Reward design for reinforcement learning agents can be difficult in situations where one not only wants the agent to achieve some effect in the world but where one also cares about how that effect is achieved. For example, we might wish fo...	[ 8848, 42849, 4891 ]	Train
16,380	6	Title: The Future of AI-Assisted Writing Abstract: The development of Natural Language Generation models has led to the creation of powerful Artificial Intelligence-assisted writing tools. These tools are capable of predicting users' needs and actively providing suggestions as they write. In this work, we conduct a com...	[]	Train
16,381	16	Title: MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask Abstract: Recent advancements in diffusion models have showcased their impressive capacity to generate visually striking images. Nevertheless, ensuring a close match between the generated image and the given prompt remains a persistent chall...	[ 30402, 43867, 44585, 34074, 28382, 15983, 22616, 34522, 3067, 13630 ]	Train
16,382	16	Title: Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models Abstract: While VideoQA Transformer models demonstrate competitive performance on standard benchmarks, the reasons behind their success remain unclear. Do these models jointly capture and leverage the rich multimodal structures and dynami...	[ 26635, 19404, 7157, 12143 ]	Train
16,383	34	Title: Solving Edge Clique Cover Exactly via Synergistic Data Reduction Abstract: The edge clique cover (ECC) problem -- where the goal is to find a minimum cardinality set of cliques that cover all the edges of a graph -- is a classic NP-hard problem that has received much attention from both the theoretical and exper...	[]	Test
16,384	6	Title: The State of the Art in Creating Visualization Corpora for Automated Chart Analysis Abstract: We present a state‐of‐the‐art report on visualization corpora in automated chart analysis research. We survey 56 papers that created or used a visualization corpus as the input of their research techniques or systems. B...	[ 20533, 2117 ]	Test
16,385	16	Title: 3D Colored Shape Reconstruction from a Single RGB Image through Diffusion Abstract: We propose a novel 3d colored shape reconstruction method from a single RGB image through diffusion model. Diffusion models have shown great development potentials for high-quality 3D shape generation. However, most existing work...	[]	Validation
16,386	24	Title: Prototypes as Explanation for Time Series Anomaly Detection Abstract: Detecting abnormal patterns that deviate from a certain regular repeating pattern in time series is essential in many big data applications. However, the lack of labels, the dynamic nature of time series data, and unforeseeable abnormal behavi...	[]	Test
16,387	16	Title: Soundini: Sound-Guided Diffusion for Natural Video Editing Abstract: We propose a method for adding sound-guided visual effects to specific regions of videos with a zero-shot setting. Animating the appearance of the visual effect is challenging because each frame of the edited video should have visual changes wh...	[ 15683, 12841, 4304, 28532, 10070 ]	Validation
16,388	10	Title: Pragmatic Reasoning in Structured Signaling Games Abstract: In this work we introduce a structured signaling game, an extension of the classical signaling game with a similarity structure between meanings in the context, along with a variant of the Rational Speech Act (RSA) framework which we call structured-RSA...	[]	Test
16,389	30	Title: BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages Abstract: Large language models (LLMs) demonstrate promising translation performance among various natural languages. However, many LLMs especially the open-sourced ones, such as BLOOM and LLaMA, are Englis...	[ 11614, 13700, 33220, 23883, 44811, 29396, 24150, 39451, 1789, 15358 ]	Train
16,390	16	Title: Neural LiDAR Fields for Novel View Synthesis Abstract: We present Neural Fields for LiDAR (NFL), a method to optimise a neural field scene representation from LiDAR measurements, with the goal of synthesizing realistic LiDAR scans from novel viewpoints. NFL combines the rendering power of neural fields with a de...	[ 34017, 27795 ]	Test
16,391	16	Title: Coarse-to-Fine Multi-Scene Pose Regression with Transformers Abstract: Absolute camera pose regressors estimate the posi-tion and orientation of a camera given the captured image alone. Typically, a convolutional backbone with a multi-layer perceptron (MLP) head is trained using images and pose labels to embed a...	[]	Train
16,392	16	Title: A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery Abstract: Remote sensing data has been widely used for various Earth Observation (EO) missions such as land use and cover classification, weather forecasting, agricultur...	[ 16827, 31431 ]	Train
16,393	16	Title: Defect Detection Approaches Based on Simulated Reference Image Abstract: This work is addressing the problem of defect anomaly detection based on a clean reference image. Specifically, we focus on SEM semiconductor defects in addition to several natural image anomalies. There are well-known methods to create a s...	[]	Train
16,394	30	Title: ROSE: A Neurocomputational Architecture for Syntax Abstract: A comprehensive model of natural language processing in the brain must accommodate four components: representations, operations, structures and encoding. It further requires a principled account of how these different components mechanistically, and ca...	[]	Train
16,395	28	Title: Trade-off Between Optimal Efficiency and Envelope Correlation Coefficient for Antenna Clusters Abstract: This paper introduces a theory for assessing and optimizing the multiple-input-multiple-output performance of multi-port cluster antennas in terms of efficiency, channel correlation, and power distribution. A...	[]	Validation
16,396	24	Title: Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations Abstract: We present a pipeline for predicting mechanical properties of vertically-oriented carbon nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI...	[]	Train
16,397	27	Title: Learning Safe and Stable Motion Plans with Neural Ordinary Differential Equations Abstract: A learning-based modular motion planning pipeline is presented that is compliant, safe, and reactive to perturbations at task execution. A nominal motion plan, defined as a nonlinear autonomous dynamical system (DS), is l...	[]	Test
16,398	24	Title: Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals Abstract: When dealing with electro or magnetoencephalography records, many supervised prediction tasks are solved by working with covariance matrices to summarize the signals. Learning with these matrices requires using Riemanian geome...	[ 15349 ]	Train
16,399	16	Title: Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning Abstract: We have developed a methodology for the systematic generation of a large image dataset of macerated wood references, which we used to generate image data for nine hardwood genera. This is ...	[ 41187 ]	Train
16,400	16	Title: Object-Centric Multiple Object Tracking Abstract: Unsupervised object-centric learning methods allow the partitioning of scenes into entities without additional localization information and are excellent candidates for reducing the annotation burden of multiple-object tracking (MOT) pipelines. Unfortunately, the...	[ 17633, 41999, 5463 ]	Train
16,401	30	Title: HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models Abstract: Large language models (LLMs), such as ChatGPT, are prone to generate hallucinations, \ie content that conflicts with the source or cannot be verified by the factual knowledge. To understand what types of content and to...	[ 22432, 40192, 30624, 35580, 28580, 26792, 397, 22638, 37360, 21012, 22422, 11612 ]	Test
16,402	36	Title: Differentially Private Games via Payoff Perturbation Abstract: In this paper, we study network games where players are involved in information aggregation processes subject to the differential privacy requirement for players’ payoff functions. We propose a Laplace linear-quadratic functional perturbation (LLQFP)...	[]	Train
16,403	2	Title: An Automata Theoretic Characterization of Weighted First-Order Logic Abstract: Since the 1970s with the work of McNaughton, Papert and Sch\"utzenberger, a regular language is known to be definable in the first-order logic if and only if its syntactic monoid is aperiodic. This algebraic characterisation of a fund...	[]	Train
16,404	16	Title: GD-VDM: Generated Depth for better Diffusion-based Video Generation Abstract: The field of generative models has recently witnessed significant progress, with diffusion models showing remarkable performance in image generation. In light of this success, there is a growing interest in exploring the application of...	[ 23563 ]	Train
16,405	27	Title: A Delay Compensation Framework Based on Eye-Movement for Teleoperated Ground Vehicles Abstract: An eye-movement-based predicted trajectory guidance control (ePTGC) is proposed to mitigate the maneuverability degradation of a teleoperated ground vehicle caused by communication delays. Human sensitivity to delays ...	[]	Test
16,406	2	Title: Knowledge-wh and False Belief Sensitivity: A Logical Study (An Extended Abstract) Abstract: In epistemic logic, a way to deal with knowledge-wh is to interpret them as a kind of mention-some knowledge (MS-knowledge). But philosophers and linguists have challenged both the sufficiency and necessity of such an acc...	[]	Train
16,407	24	Title: Extreme Q-Learning: MaxEnt RL without Entropy Abstract: Modern Deep Reinforcement Learning (RL) algorithms require estimates of the maximal Q-value, which are difficult to compute in continuous domains with an infinite number of possible actions. In this work, we introduce a new update rule for online and offlin...	[ 44513, 10498, 37188, 39479, 36840, 15247, 16273, 9111, 5247 ]	Validation
16,408	30	Title: Improving Machine Translation with Phrase Pair Injection and Corpus Filtering Abstract: In this paper, we show that the combination of Phrase Pair Injection and Corpus Filtering boosts the performance of Neural Machine Translation (NMT) systems. We extract parallel phrases and sentences from the pseudo-parallel ...	[ 30377, 19251 ]	Train
16,409	4	Title: From Emulation to Mathematical: A More General Traffic Obfuscation Approach To Encounter Feature based Mobile App traffic Classification Abstract: The usage of the mobile app is unassailable in this digital era. While tons of data are generated daily, user privacy security concerns become an important issue. Now...	[]	Test
16,410	4	Title: Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability Abstract: Evasion attacks are a threat to machine learning models, where adversaries attempt to affect classifiers by injecting malicious samples. An alarming side-effect of evasion attacks is their ability to transfer among ...	[ 36413 ]	Test
16,411	16	Title: Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Abstract: There is a recently discovered and intriguing phenomenon called Neural Collapse: at the terminal phase of training a deep neural network for classification, the within-class penultimate feature means and the associa...	[ 44211, 12925, 36630 ]	Test
16,412	30	Title: FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing Abstract: Textual scene graph parsing has become increasingly important in various vision-language applications, including image caption evaluation and image retrieval. However, existing scene graph parsers that convert image captions i...	[ 23425 ]	Validation
16,413	2	Title: LTLf Synthesis Under Environment Specifications for Reachability and Safety Properties Abstract: In this paper, we study LTLf synthesis under environment specifications for arbitrary reachability and safety properties. We consider both kinds of properties for both agent tasks and environment specifications, prov...	[]	Test
16,414	16	Title: Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art Abstract: In the field of computer- and robot-assisted minimally invasive surgery, enormous progress has been made in recent years based on the recognition of surgica...	[]	Train
16,415	10	Title: Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning Abstract: This study explores the integration of generative artificial intelligence (AI), specifically large language models, with multi-modal analogical reasoning as an innovative approach to enhance science, tech...	[ 25291 ]	Train
16,416	24	Title: How robust accuracy suffers from certified training with convex relaxations Abstract: Adversarial attacks pose significant threats to deploying state-of-the-art classifiers in safety-critical applications. Two classes of methods have emerged to address this issue: empirical defences and certified defences. Altho...	[ 25793 ]	Train
16,417	24	Title: Effective Latent Differential Equation Models via Attention and Multiple Shooting Abstract: Scientific Machine Learning (SciML) is a burgeoning field that synergistically combines domain-aware and interpretable models with agnostic machine learning techniques. In this work, we introduce GOKU-UI, an evolution of ...	[]	Train
16,418	30	Title: ChatGPT as a Text Simplification Tool to Remove Bias Abstract: The presence of specific linguistic signals particular to a certain sub-group of people can be picked up by language models during training. If the model begins to associate specific language with a distinct group, any decisions made based upon this ...	[ 43221 ]	Test
16,419	24	Title: Trompt: Towards a Better Deep Neural Network for Tabular Data Abstract: Tabular data is arguably one of the most commonly used data structures in various practical domains, including finance, healthcare and e-commerce. The inherent heterogeneity allows tabular data to store rich information. However, based on a ...	[]	Test
16,420	16	Title: Eye Disease Classification Using Deep Learning Techniques Abstract: Eye is the essential sense organ for vision function. Due to the fact that certain eye disorders might result in vision loss, it is essential to diagnose and treat eye diseases early on. By identifying common eye illnesses and performing an eye ...	[]	Test
16,421	24	Title: Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce Abstract: This work addresses an alternative approach for query expansion (QE) using a generative adversarial network (GAN) to enhance the eﬀectiveness of information search in e-commerce. We propose a modiﬁ...	[]	Validation
16,422	16	Title: On Evaluating the Adversarial Robustness of Semantic Segmentation Models Abstract: Achieving robustness against adversarial input perturbation is an important and intriguing problem in machine learning. In the area of semantic image segmentation, a number of adversarial training approaches have been proposed as ...	[ 22372 ]	Train
16,423	10	Title: Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning Abstract: Variances in ad impression outcomes across demographic groups are increasingly considered to be potentially indicative of algorithmic bias in personalized ads systems. While there are many definitions of fairnes...	[]	Validation
16,424	16	Title: The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes Abstract: Estimating camera motion in deformable scenes poses a complex and open research challenge. Most existing non-rigid structure from motion techniques assume to observe also static scene parts besides deforming scene parts in order to e...	[ 18251 ]	Train
16,425	27	Title: Torque-Based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer Abstract: In this letter, we review the question of which action space is best suited for controlling a real biped robot in combination with Sim2Real training. Position control has been popu...	[ 5587 ]	Train
16,426	10	Title: Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision Abstract: At the Worldwide Developers Conference (WWDC) in June 2023, Apple introduced the Vision Pro. The Vision Pro is a Mixed Reality (MR) headset, more specifically it is a Virtual Reality (VR) device with an addi...	[ 25181 ]	Validation
16,427	11	Title: Team Coordination on Graphs with State-Dependent Edge Cost Abstract: This paper studies a team coordination problem in a graph environment. Specifically, we incorporate"support"action which an agent can take to reduce the cost for its teammate to traverse some edges that have higher costs otherwise. Due to this ...	[]	Train
16,428	24	Title: Zero-shot causal learning Abstract: Predicting how different interventions will causally affect a specific individual is important in a variety of domains such as personalized medicine, public policy, and online marketing. There are a large number of methods to predict the effect of an existing intervention base...	[]	Train
16,429	30	Title: Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Theory of Mind Abstract: Large Language Models (LLMs) perform complex reasoning by generating explanations for their predictions. However, a complementary goal of explanations is to also communicate useful knowledge that improves ...	[ 6979, 13700, 33477, 13510, 19095, 36906, 36528, 6353, 4466, 45495, 475, 17789 ]	Train
16,430	30	Title: Explaining Legal Concepts with Augmented Large Language Models (GPT-4) Abstract: Interpreting the meaning of legal open-textured terms is a key task of legal professionals. An important source for this interpretation is how the term was applied in previous court cases. In this paper, we evaluate the performance ...	[ 7936, 29249, 4674, 37931, 20757, 38870, 6810, 634 ]	Train
16,431	24	Title: Loss of Plasticity in Deep Continual Learning Abstract: Modern deep-learning systems are specialized to problem settings in which training occurs once and then never again, as opposed to continual-learning settings in which training occurs continually. If deep-learning systems are applied in a continual learning...	[ 24196, 4239, 28561, 20689, 1139, 17242, 635 ]	Train
16,432	16	Title: Exploring the Benefits of Visual Prompting in Differential Privacy Abstract: Visual Prompting (VP) is an emerging and powerful technique that allows sample-efficient adaptation to downstream tasks by engineering a well-trained frozen source model. In this work, we explore the benefits of VP in constructing compe...	[ 36500 ]	Train
16,433	26	Title: Well-Connected Communities in Real-World and Synthetic Networks Abstract: Integral to the problem of detecting communities through graph clustering is the expectation that they are"well connected". In this respect, we examine five different community detection approaches optimizing different criteria: the Leiden...	[]	Train
16,434	30	Title: Intelligent Assistant Language Understanding On Device Abstract: It has recently become feasible to run personal digital assistants on phones and other personal devices. In this paper we describe a design for a natural language understanding system that runs on device. In comparison to a server-based assistant, ...	[]	Train
16,435	16	Title: OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav Abstract: We present a single neural network architecture composed of task-agnostic components (ViTs, convolutions, and LSTMs) that achieves state-of-art results on both the ImageNav ("go to location in") and ObjectNav ("find a chair") tasks with...	[ 5964, 21310, 25799 ]	Train
16,436	10	Title: Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Abstract: Multi-agent reinforcement learning (MARL) is a widely used Artificial Intelligence (AI) technique. However, current studies and applications need to address its scalability, non-stationarity, and trustworthin...	[ 35624, 32332, 28974, 36719, 17743 ]	Validation
16,437	24	Title: FLuRKA: Fast fused Low-Rank & Kernel Attention Abstract: Many efficient approximate self-attention techniques have become prevalent since the inception of the transformer architecture. Two popular classes of these techniques are low-rank and kernel methods. Each of these methods has its own strengths. We observe...	[ 648 ]	Train
16,438	24	Title: An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Abstract: In the realm of out-of-distribution generalization tasks, finetuning has risen as a key strategy. While the most focus has been on optimizing learning algorithms, our research highlights the...	[]	Test
16,439	6	Title: The Impact of Imperfect XAI on Human-AI Decision-Making Abstract: Explainability techniques are rapidly being developed to improve human-AI decision-making across various cooperative work settings. Consequently, previous research has evaluated how decision-makers collaborate with imperfect AI by investigating ap...	[ 24129, 44232, 8331, 45710, 6512, 2770, 5303, 11576, 10621, 13918 ]	Train
16,440	16	Title: TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot Abstract: Tongue segmentation serves as the primary step in automated TCM tongue diagnosis, which plays a significant role in the diagnostic results. Currently, numerous deep learning based methods have achieved promising results. Howe...	[ 5864, 31213, 16180, 5821 ]	Train
16,441	30	Title: Syntax and Semantics Meet in the “Middle”: Probing the Syntax-Semantics Interface of LMs Through Agentivity Abstract: Recent advances in large language models have prompted researchers to examine their abilities across a variety of linguistic tasks, but little has been done to investigate how models handle the i...	[ 45844 ]	Train
16,442	24	Title: Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems? Abstract: Decentralized minimax optimization has been actively studied in the past few years due to its application in a wide range of machine learning models. However, the current theoret...	[]	Validation
16,443	10	Title: Neural State-Dependent Delay Differential Equations Abstract: Discontinuities and delayed terms are encountered in the governing equations of a large class of problems ranging from physics, engineering, medicine to economics. These systems are impossible to be properly modelled and simulated with standard Ordina...	[]	Train
16,444	27	Title: A self-organizing robotic aggregate using solid and liquid-like collective states Abstract: Designing robotic systems that can change their physical form factor as well as their compliance to adapt to environmental constraints remains a major conceptual and technical challenge. To address this, we introduce the ...	[]	Train
16,445	17	Title: In‐the‐wild Material Appearance Editing using Perceptual Attributes Abstract: Intuitively editing the appearance of materials from a single image is a challenging task given the complexity of the interactions between light and matter, and the ambivalence of human perception. This problem has been traditionally a...	[]	Test
16,446	30	Title: From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? Abstract: Noun compound interpretation is the task of expressing a noun compound (e.g. chocolate bunny) in a free-text paraphrase that makes the relationship between the constituent nouns explicit (e.g. bunny-shaped chocol...	[]	Train
16,447	3	Title: Putting collective intelligence to the enforcement of the Digital Services Act Abstract: While underlying the many ways to build strong cooperation settings between regulators and CSOs, this report focuses on making concrete recommendations for the design of an efficient and influential expert group with the Eur...	[]	Validation
16,448	6	Title: MeTACAST: Target- and Context-aware Spatial Selection in VR Abstract: We propose three novel spatial data selection techniques for particle data in VR visualization environments. They are designed to be target- and context-aware and be suitable for a wide range of data features and complex scenarios. Each techni...	[]	Train
16,449	16	Title: TempSAL - Uncovering Temporal Information for Deep Saliency Prediction Abstract: Deep saliency prediction algorithms complement the object recognition features, they typically rely on additional information such as scene context, semantic relationships, gaze direction, and object dissimilarity. However, none of ...	[]	Validation
16,450	2	Title: HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package Abstract: BDDs are representations of a Boolean expression in the form of a directed acyclic graph. BDDs are widely used in several fields, particularly in model checking and hardware verification. There are several implementations for BD...	[]	Train
16,451	16	Title: Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration Abstract: Adversarial face examples possess two critical properties: Visual Quality and Transferability. However, existing approaches rarely address these properties simultaneously,...	[ 11857, 19585 ]	Validation
16,452	27	Title: AllSight: A Low-Cost and High-Resolution Round Tactile Sensor with Zero-Shot Learning Capability Abstract: Tactile sensing is a necessary capability for a robotic hand to perform fine manipulations and interact with the environment. Optical sensors are a promising solution for high-resolution contact estimation....	[ 9882, 37581 ]	Validation
16,453	30	Title: Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning Abstract: nan	[]	Train
16,454	30	Title: Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach Abstract: Although remarkable progress on the neural table-to-text methods has been made, the generalization issues hinder the applicability of these models due to the limited source ta...	[ 1292 ]	Validation
16,455	24	Title: Addressing Imperfect Symmetry: a Novel Symmetry-Learning Actor-Critic Extension Abstract: Symmetry, a fundamental concept to understand our environment, often oversimplifies reality from a mathematical perspective. Humans are a prime example, deviating from perfect symmetry in terms of appearance and cognitive b...	[]	Test
16,456	27	Title: Vehicle State Estimation through Modular Factor Graph-based Fusion of Multiple Sensors Abstract: This study focuses on the critical aspect of robust state estimation for the safe navigation of an Autonomous Vehicle (AV). Existing literature primarily employs two prevalent techniques for state estimation, namely ...	[ 8862, 10599 ]	Test
16,457	4	Title: Federated Learning-based Vehicle Trajectory Prediction against Cyberattacks Abstract: With the development of the Internet of Vehicles (IoV), vehicle wireless communication poses serious cybersecurity challenges. Faulty information, such as fake vehicle positions and speeds sent by surrounding vehicles, could ca...	[]	Train
16,458	25	Title: EchoVest: Real-Time Sound Classification and Depth Perception Expressed through Transcutaneous Electrical Nerve Stimulation Abstract: Over 1.5 billion people worldwide live with hearing impairment. Despite various technologies that have been created for individuals with such disabilities, most of these technolog...	[]	Train
16,459	16	Title: Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks Abstract: In recent years, the removal of motion blur in photographs has seen impressive progress in the hands of deep learning-based methods, trained to map directly from blurry to sharp images. For this reason, approaches ...	[]	Train
16,460	31	Title: Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems Abstract: Interactive Recommender Systems (IRSs) have attracted a lot of attention, due to their ability to model interactive processes between users and recommender systems. Numerous approaches have adopted Reinforcement Learning ...	[ 4147 ]	Test
16,461	24	Title: Non-adversarial Robustness of Deep Learning Methods for Computer Vision Abstract: Non-adversarial robustness, also known as natural robustness, is a property of deep learning models that enables them to maintain performance even when faced with distribution shifts caused by natural variations in data. However, a...	[]	Train
16,462	24	Title: PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization Abstract: Accurate yet efficient Deep Neural Networks (DNNs) are in high demand, especially for applications that require their execution on constrained edge devices. Finding such DNNs in a reasonable time for new app...	[ 923, 45222, 19031 ]	Train
16,463	16	Title: Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning Abstract: Recently, CLIP-guided image synthesis has shown appealing performance on adapting a pre-trained source-domain generator to an unseen target domain. It does not require any target-domain samples but only the textual domain labels. ...	[ 43144, 36741, 14974 ]	Train
16,464	30	Title: LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs Abstract: LLMs have shown promise in replicating human-like behavior in crowdsourcing tasks that were previously thought to be exclusive to human abilities. However, current efforts focus mainly on simple atomic task...	[ 40610, 20228, 25892, 13510, 37740, 8493, 846, 21487, 36751, 28978, 3861, 32567, 39642, 24316, 17789 ]	Train
16,465	16	Title: Hierarchy Flow For High-Fidelity Image-to-Image Translation Abstract: Image-to-image (I2I) translation comprises a wide spectrum of tasks. Here we divide this problem into three levels: strong-fidelity translation, normal-fidelity translation, and weak-fidelity translation, indicating the extent to which the con...	[]	Test
16,466	24	Title: Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Abstract: Graph Neural Networks (GNNs) have emerged as one of the leading approaches for machine learning on graph-structured data. Despite their great success, critical computational challenges such as ov...	[ 2656, 26770, 36915, 37174 ]	Train
16,467	16	Title: MAIR: Multi-View Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation Abstract: We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-view images provide a variety of i...	[]	Validation
16,468	33	Title: Parikh Automata on Infinite Words Abstract: Parikh automata on finite words were first introduced by Klaedtke and Rue{\ss} [Automata, Languages and Programming, 2003]. In this paper, we introduce several variants of Parikh automata on infinite words and study their expressiveness. We show that one of our new mod...	[ 19604 ]	Train
16,469	24	Title: Knowledge-infused Deep Learning Enables Interpretable Landslide Forecasting Abstract: Forecasting how landslides will evolve over time or whether they will fail is a challenging task due to a variety of factors, both internal and external. Despite their considerable potential to address these challenges, deep le...	[]	Validation
16,470	16	Title: Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment? Abstract: Copy-move forgery detection is a crucial research area within digital image forensics, as it focuses on identifying instances where objects in an image are duplicated and placed in different locations. The detection of such forge...	[ 19828 ]	Train
16,471	30	Title: DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4 Abstract: The digitization of healthcare has facilitated the sharing and re-using of medical data but has also raised concerns about confidentiality and privacy. HIPAA (Health Insurance Portability and Accountability Act) mandates removing re-identifyin...	[ 20355, 13700, 34563, 45189, 11273, 24, 37531, 6942, 28580, 36263, 3624, 18858, 31147, 43566, 24756, 30775, 10681, 7996, 23230, 45505, 12487, 40136, 31189, 23898, 21594, 12128, 35041, 11369, 44272, 40438, 39544, 35580, 1151 ]	Validation
16,472	35	Title: Protected Data Plane OS Using Memory Protection Keys and Lightweight Activation Abstract: Increasing data center network speed coupled with application requirements for high throughput and low latencies have raised the efficiency bar for network stacks. To reduce substantial kernel overhead in network processing...	[]	Train
16,473	30	Title: Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Abstract: Text classification is a fundamental task for natural language processing, and adapting text classification models across domains has broad applications. Self-training generates pseudo-examples...	[]	Test
16,474	24	Title: Transformer Models for Acute Brain Dysfunction Prediction Abstract: Acute brain dysfunctions (ABD), which include coma and delirium, are prevalent in the ICU, especially among older patients. The current approach in manual assessment of ABD by care providers may be sporadic and subjective. Hence, there exists a ...	[]	Validation
16,475	3	Title: A Comparative Audit of Privacy Policies from Healthcare Organizations in USA, UK and India Abstract: Data privacy in healthcare is of paramount importance (and thus regulated using laws like HIPAA) due to the highly sensitive nature of patient data. To that end, healthcare organizations mention how they collect/...	[]	Validation
16,476	8	Title: RL meets Multi-Link Operation in IEEE 802.11be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation Abstract: IEEE 802.11be -Extremely High Throughput-, commercially known as Wireless-Fidelity (Wi-Fi) 7 is the newest IEEE 802.11 amendment that comes to address the increasingly throughput hungry ser...	[]	Train
16,477	27	Title: A Single Multi-Task Deep Neural Network with a Multi-Scale Feature Aggregation Mechanism for Manipulation Relationship Reasoning in Robotic Grasping Abstract: Grasping specific objects in complex and irregularly stacked scenes is still challenging for robotics. Because the robot is not only required to identify ...	[]	Train

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