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
21,978	28	Title: Statistics of Random Binning Based on Tsallis Divergence Abstract: Random binning is a powerful and widely used tool in information theory. In this paper, considering the Tsallis measures, we examine the output statistics of random binning (OSRB). Using the OSRB framework, the achievable rate region of the wiret...	[]	Train
21,979	27	Title: Geometric Mechanics of Simultaneous Nonslip Contact in a Planar Quadruped Abstract: In this paper, we develop a geometric framework for generating non-slip quadrupedal two-beat gaits. We consider a four-bar mechanism as a surrogate model for a contact state and develop the geometric tools such as shape-change ba...	[ 26209, 33740 ]	Train
21,980	33	Title: ALMA: Automata Learner using Modulo 2 Multiplicity Automata Abstract: We present ALMA (Automata Learner using modulo 2 Multiplicity Automata), a Java-based tool that can learn any automaton accepting regular languages of finite or infinite words with an implementable membership query function. Users can either p...	[]	Validation
21,981	24	Title: Tree Learning: Optimal Sample Complexity and Algorithms Abstract: We study the problem of learning a hierarchical tree representation of data from labeled samples, taken from an arbitrary (and possibly adversarial) distribution. Consider a collection of data tuples labeled according to their hierarchical structu...	[]	Train
21,982	24	Title: Clarify Confused Nodes Through Separated Learning Abstract: Graph neural networks (GNNs) have achieved remarkable advances in graph-oriented tasks. However, real-world graphs invariably contain a certain proportion of heterophilous nodes, challenging the homophily assumption of classical GNNs and hindering their...	[ 22765, 40478 ]	Validation
21,983	6	Title: NewsComp: Facilitating Diverse News Reading through Comparative Annotation Abstract: To support efficient, balanced news consumption, merging articles from diverse sources into one, potentially through crowdsourcing, could alleviate some hurdles. However, the merging process could also impact annotators’ attitud...	[]	Validation
21,984	16	Title: RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images Abstract: Cutaneous squamous cell cancer (cSCC) is the second most common skin cancer in the US. It is diagnosed by manual multi-class tumor grading using a tissue whole slide image (WSI), which is subject...	[]	Test
21,985	24	Title: μ2-SGD: Stable Stochastic Optimization via a Double Momentum Mechanism Abstract: We consider stochastic convex optimization problems where the objective is an expectation over smooth functions. For this setting we suggest a novel gradient estimate that combines two recent mechanism that are related to notion of ...	[]	Train
21,986	24	Title: Inverse classification with logistic and softmax classifiers: efficient optimization Abstract: In recent years, a certain type of problems have become of interest where one wants to query a trained classifier. Specifically, one wants to find the closest instance to a given input instance such that the classifier...	[]	Train
21,987	16	Title: RemovalNet: DNN Fingerprint Removal Attacks Abstract: With the performance of deep neural networks (DNNs) remarkably improving, DNNs have been widely used in many areas. Consequently, the DNN model has become a valuable asset, and its intellectual property is safeguarded by ownership verification techniques (e.g...	[ 43641, 10723, 33236 ]	Train
21,988	9	Title: Network Navigation with Online Delays is PSPACE-complete Abstract: In public transport networks disruptions may occur and lead to travel delays. It is thus interesting to determine whether a traveler can be resilient to delays that occur unexpectedly, ensuring that they can reach their destination in time regard...	[]	Validation
21,989	16	Title: SAMAug: Point Prompt Augmentation for Segment Anything Model Abstract: This paper introduces SAMAug, a novel visual point augmentation method for the Segment Anything Model (SAM) that enhances interactive image segmentation performance. SAMAug generates augmented point prompts to provide more information to SAM....	[ 45505, 45189, 34821, 40136, 11273, 46154, 139, 11927, 7996, 6942, 3071 ]	Train
21,990	30	Title: clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents Abstract: Recent work has proposed a methodology for the systematic evaluation of"Situated Language Understanding Agents"-agents that operate in rich linguistic and non-linguistic contexts-through testing them in caref...	[ 33220, 33477, 30027, 16556, 22286, 3219, 35580 ]	Train
21,991	10	Title: Bounded Combinatorial Reconfiguration with Answer Set Programming Abstract: We develop an approach called bounded combinatorial reconfiguration for solving combinatorial reconfiguration problems based on Answer Set Programming (ASP). The general task is to study the solution spaces of source combinatorial proble...	[]	Train
21,992	11	Title: Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas Abstract: In social psychology, Social Value Orientation (SVO) describes an individual's propensity to allocate resources between themself and others. In reinforcement learning, SVO has been instantiated as an intr...	[]	Train
21,993	16	Title: Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition Abstract: Deep neural networks (DNNs) are vulnerable to a class of attacks called “backdoor attacks”, which create an association between a backdoor trigger and a target label the attacker is interested in exploiting. A backdoored DNN pe...	[ 44992, 7739 ]	Validation
21,994	16	Title: DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning Abstract: Asymmetry is a crucial characteristic of bilateral mammograms (Bi-MG) when abnormalities are developing. It is widely utilized by radiologists for diagnosis. The question of 'what the symmetr...	[]	Validation
21,995	4	Title: Formal-Guided Fuzz Testing: Targeting Security Assurance from Specification to Implementation for 5G and Beyond Abstract: Softwarization and virtualization in 5G and beyond necessitate thorough testing to ensure the security of critical infrastructure and networks, requiring the identification of vulnerabilities...	[ 32253, 34245, 2055 ]	Train
21,996	16	Title: HDR image watermarking using saliency detection and quantization index modulation Abstract: High-dynamic range (HDR) images are circulated rapidly over the internet with risks of being exploited for unauthorized usage. To protect these images, some HDR image based watermarking (HDR-IW) methods were put forward. ...	[]	Validation
21,997	16	Title: 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models Abstract: We introduce 3DShape2VecSet, a novel shape representation for neural fields designed for generative diffusion models. Our shape representation can encode 3D shapes given as surface models or point clouds, and re...	[ 17217, 37185, 39256, 40293, 3912, 34000, 34448, 895, 32148, 8919, 10136, 41502, 7231 ]	Train
21,998	31	Title: Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes Abstract: The large amount of time clinicians spend sifting through patient notes and documenting in electronic health records (EHRs) is a leading cause of clinician burnout. By proactively and dynamically retrie...	[ 14635 ]	Validation
21,999	24	Title: TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Abstract: Despite recent progress in reinforcement learning (RL) from raw pixel data, sample inefficiency continues to present a substantial obstacle. Prior works have attempted to address this challenge by creating self-super...	[ 22816, 8230 ]	Validation
22,000	24	Title: Scalable Membership Inference Attacks via Quantile Regression Abstract: Membership inference attacks are designed to determine, using black box access to trained models, whether a particular example was used in training or not. Membership inference can be formalized as a hypothesis testing problem. The most effe...	[ 30609, 30047 ]	Train
22,001	16	Title: Enhancing Transformer Backbone for Egocentric Video Action Segmentation Abstract: Egocentric temporal action segmentation in videos is a crucial task in computer vision with applications in various fields such as mixed reality, human behavior analysis, and robotics. Although recent research has utilized advanced...	[]	Train
22,002	16	Title: Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment Abstract: Deployment of Deep Neural Networks in medical imaging is hindered by distribution shift between training data and data processed after deployment, causing performance degradation. Po...	[]	Train
22,003	6	Title: WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT? Abstract: Studies conducted on Western, Educated, Industrialized, Rich, and Democratic (WEIRD) samples are considered atypical of the world’s population and may not accurately represent human behavior. In this study, we aim to qu...	[ 7824, 5778, 33967 ]	Train
22,004	30	Title: Lessons Learned from a Citizen Science Project for Natural Language Processing Abstract: Many Natural Language Processing (NLP) systems use annotated corpora for training and evaluation. However, labeled data is often costly to obtain and scaling annotation projects is difficult, which is why annotation tasks ar...	[]	Train
22,005	28	Title: Incremental Collaborative Beam Alignment for Millimeter Wave Cell-Free MIMO Systems Abstract: Millimeter wave (mmWave) cell-free MIMO achieves an extremely high rate while its beam alignment (BA) suffers from excessive overhead due to a large number of transceivers. Recently, user location and probing measuremen...	[]	Test
22,006	16	Title: Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction Abstract: In recent years, huge progress has been made on learning neural implicit representations from multi-view images for 3D reconstruction. As an additional input complementing coordinates, using sinusoidal functions as posit...	[ 17217, 5539, 12868, 30566, 42666, 40717, 14255, 22163, 3672, 2908 ]	Train
22,007	3	Title: A Study on Indoor Noise Levels in a Set of School Buildings in Greece utilizing an IoT infrastructure Abstract: Monitoring noise pollution in urban areas in a more systematic manner has been gaining traction as a theme among the research community, especially with the rise of smart cities and the IoT. However, a...	[]	Validation
22,008	25	Title: Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction Abstract: This paper describes a real-time General Speech Reconstruction (Gesper) system submitted to the ICASSP 2023 Speech Signal Improvement (SSI) Challenge. This novel proposed system is a two-stage architecture, in which the speec...	[]	Test
22,009	30	Title: Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation Abstract: Semi-supervised learning has been an important approach to address challenges in extracting entities and relations from limited data. However, current semi-supervised works handle the...	[]	Train
22,010	16	Title: Object-Centric Slot Diffusion Abstract: The recent success of transformer-based image generative models in object-centric learning highlights the importance of powerful image generators for handling complex scenes. However, despite the high expressiveness of diffusion models in image generation, their integratio...	[ 42595, 41146, 42857, 14634, 34074, 15983, 25552, 5463, 16954, 24763 ]	Test
22,011	10	Title: Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open World Abstract: Autonomous agents acting in real-world environments often need to reason with unknown novelties interfering with their plan execution. Novelty is an unexpected phenomenon that can alter the core characteristics, compositio...	[ 31093 ]	Train
22,012	6	Title: Research Protocol for the Google Health Digital Well-being Study Abstract: The impact of digital device use on health and well-being is a pressing question to which individuals, families, schools, policy makers, legislators, and digital designers are all demanding answers. However, the scientific literature on t...	[]	Train
22,013	5	Title: Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms Abstract: Distributed Data Processing Platforms (e.g., Hadoop, Spark, and Flink) are widely used to store and process data in a cloud environment. These platforms distribute the storage and processing of data among the computing nodes of...	[]	Train
22,014	5	Title: Exploring the Versal AI Engines for Accelerating Stencil-based Atmospheric Advection Simulation Abstract: AMD Xilinx's new Versal Adaptive Compute Acceleration Platform (ACAP) is an FPGA architecture combining reconfigurable fabric with other on-chip hardened compute resources. AI engines are one of these and, b...	[ 20848 ]	Test
22,015	10	Title: The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents Abstract: Developmental psychologists have long-established the importance of socio-cognitive abilities in human intelligence. These abilities enable us to enter, participate and benefit from human culture. AI re...	[ 13700, 33477, 7470, 36528, 45242 ]	Train
22,016	24	Title: Energy Regularized RNNs for Solving Non-Stationary Bandit Problems Abstract: We consider a Multi-Armed Bandit problem in which the rewards are non-stationary and are dependent on past actions and potentially on past contexts. At the heart of our method, we employ a recurrent neural network, which models these se...	[]	Validation
22,017	27	Title: LIDAR-based Stabilization, Navigation and Localization for UAVs Operating in Dark Indoor Environments Abstract: Autonomous operation of UAVs in a closed environment requires precise and reliable pose estimate that can stabilize the UAV without using external localization systems such as GNSS. In this work, we ar...	[ 28469, 3751 ]	Train
22,018	24	Title: Revisiting adversarial training for the worst-performing class Abstract: Despite progress in adversarial training (AT), there is a substantial gap between the top-performing and worst-performing classes in many datasets. For example, on CIFAR10, the accuracies for the best and worst classes are 74% and 23%, resp...	[ 38045 ]	Train
22,019	27	Title: Data-Efficient Online Learning of Ball Placement in Robot Table Tennis Abstract: We present an implementation of an online optimization algorithm for hitting a predefined target when returning ping-pong balls with a table tennis robot. The online algorithm optimizes over so-called interception policies, which de...	[]	Test
22,020	27	Title: Reactive Correction of Object Placement Errors for Robotic Arrangement Tasks Abstract: When arranging objects with robotic arms, the quality of the end result strongly depends on the achievable placement accuracy. However, even the most advanced robotic systems are prone to positioning errors that can occur at d...	[]	Train
22,021	28	Title: Strong Converses using Typical Changes of Measures and Asymptotic Markov Chains Abstract: The paper presents exponentially-strong converses for source-coding, channel coding, and hypothesis testing problems. More speciﬁcally, it presents alternative proofs for the well-known exponentially-strong converse bounds ...	[ 2161 ]	Train
22,022	27	Title: Collocation methods for second and higher order systems Abstract: It is often unnoticed that the predominant way to use collocation methods is fundamentally flawed when applied to optimal control in robotics. Such methods assume that the system dynamics is given by a first order ODE, whereas robots are often gov...	[ 38878, 32087 ]	Validation
22,023	16	Title: GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction Abstract: This paper aims to efficiently enable Large Language Models (LLMs) to use multimodal tools. Advanced proprietary LLMs, such as ChatGPT and GPT-4, have shown great potential for tool usage through sophisticated prompt engineering...	[ 10624, 5123, 13700, 16645, 34314, 10510, 41104, 3609, 34074, 12957, 13345, 19876, 11815, 42666, 6958, 10163, 23229, 1854, 33981, 33220, 38857, 33104, 9812, 5720, 39642, 42983, 634, 13564, 45182 ]	Train
22,024	16	Title: Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation Abstract: The domain shift in pathological segmentation is an important problem, where a network trained by a source domain (collected at a specific hospital) does not work well in the target domain (from different hospitals) due to the...	[]	Train
22,025	2	Title: Complexity results for modal logic with recursion via translations and tableaux Abstract: This paper studies the complexity of classical modal logics and of their extension with fixed-point operators, using translations to transfer results across logics. In particular, we show several complexity results for mult...	[]	Train
22,026	16	Title: Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective Abstract: We aim at advancing blind image quality assessment (BIQA), which predicts the human perception of image quality without any reference information. We develop a general and automated multitask learning sc...	[ 8393, 35844, 310 ]	Train
22,027	13	Title: ELEA - Build your own Evolutionary Algorithm in your Browser Abstract: We provide an open source framework to experiment with evolutionary algorithms which we call Experimenting and Learning toolkit for Evolutionary Algorithms (ELEA). ELEA is browser-based and allows to assemble evolutionary algorithms using dra...	[]	Train
22,028	28	Title: Improved constructions of secondary structure avoidance codes for DNA sequences Abstract: In a DNA sequence, we have the celebrated Watson-Crick complement $\overline{T}=A$, $\overline{A}=T$, $\overline{C}=G$, and $\overline{G}=C$. Given an integer $m\ge 2$, a secondary structure in a DNA sequence refers to the ...	[ 11250, 27043 ]	Train
22,029	24	Title: Certified Multi-Fidelity Zeroth-Order Optimization Abstract: We consider the problem of multi-fidelity zeroth-order optimization, where one can evaluate a function $f$ at various approximation levels (of varying costs), and the goal is to optimize $f$ with the cheapest evaluations possible. In this paper, we stu...	[]	Validation
22,030	4	Title: The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning Abstract: Due to the proliferation of malware, defenders are increasingly turning to automation and machine learning as part of the malware detection tool-chain. However, machine learning models are susceptible to adversarial...	[]	Train
22,031	4	Title: Defending Against Backdoor Attacks by Layer-wise Feature Analysis Abstract: Training deep neural networks (DNNs) usually requires massive training data and computational resources. Users who cannot afford this may prefer to outsource training to a third party or resort to publicly available pre-trained models. U...	[ 28441, 38363 ]	Train
22,032	24	Title: Two-level histograms for dealing with outliers and heavy tail distributions Abstract: Histograms are among the most popular methods used in exploratory analysis to summarize univariate distributions. In particular, irregular histograms are good non-parametric density estimators that require very few parameters: ...	[]	Test
22,033	24	Title: A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning Abstract: Works in quantum machine learning (QML) over the past few years indicate that QML algorithms can function just as well as their classical counterparts, and even outperform them in some cases. Among the corpus of recent work, many curren...	[]	Validation
22,034	34	Title: Fast Triangle Counting Abstract: Listing and counting triangles in graphs is a key algorithmic kernel for network analyses including community detection, clustering coefficients, k-trusses, and triangle centrality. We design and implement a new serial algorithm for triangle counting that performs competitively w...	[]	Train
22,035	31	Title: TEIMMA: The First Content Reuse Annotator for Text, Images, and Math Abstract: This demo paper presents the first tool to annotate the reuse of text, images, and mathematical formulae in a document pair -- TEIMMA. Annotating content reuse is particularly useful to develop plagiarism detection algorithms. Real-wo...	[]	Train
22,036	30	Title: ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base Abstract: Analogical reasoning is a fundamental cognitive ability of humans. However, current language models (LMs) still struggle to achieve human-like performance in analogical reasoning tasks due to a lack of reso...	[ 16827 ]	Test
22,037	24	Title: Online Learning under Adversarial Nonlinear Constraints Abstract: In many applications, learning systems are required to process continuous non-stationary data streams. We study this problem in an online learning framework and propose an algorithm that can deal with adversarial time-varying and nonlinear constra...	[]	Train
22,038	30	Title: Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? Abstract: Pre-training on large corpora of text enables the language models to acquire a vast amount of factual and commonsense knowledge which allows them to achieve remarkable performance on a variety of language understanding tas...	[ 3745 ]	Train
22,039	4	Title: Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses Abstract: The gradual fusion of intelligent transportation systems with metaverse technologies is giving rise to vehicular metaverses, which blend virtual spaces with physical space. As indispensable components for vehicular metaver...	[ 6768 ]	Train
22,040	30	Title: On the Inconsistencies of Conditionals Learned by Masked Language Models Abstract: Learning to predict masked tokens in a sequence has been shown to be a powerful pretraining objective for large-scale language models. After training, such masked language models can provide distributions of tokens con-ditioned on...	[ 7212 ]	Test
22,041	16	Title: Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing Abstract: With the explosive growth in the number of fine-grained images in the Internet era, it has become a challenging problem to perform fast and efficient retrieval from large-scale fine-grained images. Among the many ret...	[]	Validation
22,042	30	Title: PaD: Program-aided Distillation Specializes Large Models in Reasoning Abstract: While Large Language Models (LLMs) excel in several natural language processing tasks, their size and inaccessibility present challenges for extensive practical application. Previous studies acquire specialized skills through distill...	[ 3745, 6979, 13700, 12741, 25900, 6353, 44246, 38102 ]	Test
22,043	3	Title: Minimizing Polarization in Noisy Leader-Follower Opinion Dynamics Abstract: The operation of creating edges has been widely applied to optimize relevant quantities of opinion dynamics. In this paper, we consider a problem of polarization optimization for the leader-follower opinion dynamics in a noisy social net...	[]	Train
22,044	11	Title: Co-Learning Empirical Games and World Models Abstract: Game-based decision-making involves reasoning over both world dynamics and strategic interactions among the agents. Typically, empirical models capturing these respective aspects are learned and used separately. We investigate the potential gain from co-lear...	[ 39060 ]	Test
22,045	6	Title: Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI Abstract: The Alexa Prize program has empowered numerous university students to explore, experiment, and showcase their talents in building conversational agents through challenges like the SocialBot Grand Challenge and the...	[ 43765 ]	Train
22,046	16	Title: Compositional diversity in visual concept learning Abstract: Humans leverage compositionality to efficiently learn new concepts, understanding how familiar parts can combine together to form novel objects. In contrast, popular computer vision models struggle to make the same types of inferences, requiring more d...	[]	Test
22,047	24	Title: Generalization analysis of an unfolding network for analysis-based Compressed Sensing Abstract: Unfolding networks have shown promising results in the Compressed Sensing (CS) field. Yet, the investigation of their generalization ability is still in its infancy. In this paper, we perform generalization analysis o...	[]	Validation
22,048	16	Title: Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos Abstract: Recently, the community has made tremendous progress in developing effective methods for point cloud video understanding that learn from massive amounts of labeled data. However, annotating point cloud videos...	[ 23595 ]	Validation
22,049	23	Title: Are Software Updates Useless against Advanced Persistent Threats? Abstract: Considering the conundrum of software updates.	[]	Train
22,050	30	Title: All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm Abstract: In intent detection tasks, leveraging meaningful semantic information from intent labels can be particularly beneficial for few-shot scenarios. However, existing few-shot intent detection methods either ig...	[]	Train
22,051	30	Title: The Current State of Summarization Abstract: With the explosive growth of textual information, summarization systems have become increasingly important. This work aims to concisely indicate the current state of the art in abstractive text summarization. As part of this, we outline the current paradigm shifts tow...	[ 12128, 8482, 13700, 12087, 28151 ]	Train
22,052	27	Title: Saltation Matrices: The Essential Tool for Linearizing Hybrid Dynamical Systems Abstract: Hybrid dynamical systems, i.e. systems that have both continuous and discrete states, are ubiquitous in engineering, but are difficult to work with due to their discontinuous transitions. For example, a robot leg is able to...	[ 30102 ]	Train
22,053	15	Title: Enabling Relational Database Analytical Processing in Bulk-Bitwise Processing-In-Memory Abstract: Bulk-bitwise processing-in-memory (PIM), an emerging computational paradigm utilizing memory arrays as computational units, has been shown to benefit database applications. This paper demonstrates how GROUP-BY and J...	[ 10380 ]	Validation
22,054	24	Title: What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement Abstract: The question of what makes a data distribution suitable for deep learning is a fundamental open problem. Focusing on locally connected neural networks (a prevalent family ...	[]	Train
22,055	24	Title: inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data Abstract: The real-time crash likelihood prediction model is an essential component of the proactive traffic safety management system. Over the years, numerous studies have attempt...	[]	Train
22,056	26	Title: Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph Abstract: The rise of the click farm business using Multi-purpose Messaging Mobile Apps (MMMAs) tempts cybercriminals to perpetrate crowdsourcing frauds that cause financial losses to click farm workers. In this paper, we propose a novel contra...	[]	Train
22,057	16	Title: StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation Abstract: We introduce a novel training strategy for stereo matching and optical flow estimation that utilizes image-to-image translation between synthetic and real image domains. Our approach enables the training of models that e...	[ 6389 ]	Train
22,058	16	Title: AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation Abstract: LiDAR-based 3D object detection and panoptic segmentation are two crucial tasks in the perception systems of autonomous vehicles and robots. In this paper, we propose All-in-One Perception Network...	[ 16088 ]	Train
22,059	3	Title: Dream Content Discovery from Reddit with an Unsupervised Mixed-Method Approach Abstract: Dreaming is a fundamental but not fully understood part of human experience that can shed light on our thought patterns. Traditional dream analysis practices, while popular and aided by over 130 unique scales and rating syst...	[]	Train
22,060	26	Title: Collision of Environmental Injustice and Sea Level Rise: Assessment of Risk Inequality in Flood-induced Pollutant Dispersion from Toxic Sites in Texas Abstract: Global sea-level rise causes increasing threats of coastal flood and subsequent pollutant dispersion. However, there are still few studies on the dispar...	[]	Validation
22,061	24	Title: On the Role of Randomization in Adversarially Robust Classification Abstract: Deep neural networks are known to be vulnerable to small adversarial perturbations in test data. To defend against adversarial attacks, probabilistic classifiers have been proposed as an alternative to deterministic ones. However, lite...	[ 30819, 36843 ]	Validation
22,062	26	Title: A Mathematical Framework for Citation Disruption Abstract: Many theories of scientific and technological progress imagine science as an iterative, developmental process periodically interrupted by innovations which disrupt and restructure the status quo. Due to the immense societal value created by these disrupt...	[ 20664 ]	Train
22,063	24	Title: CIN++: Enhancing Topological Message Passing Abstract: Graph Neural Networks (GNNs) have demonstrated remarkable success in learning from graph-structured data. However, they face significant limitations in expressive power, struggling with long-range interactions and lacking a principled approach to modeling hi...	[ 8660, 28263, 3103 ]	Train
22,064	30	Title: LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts Abstract: Low self-esteem and interpersonal needs (i.e., thwarted belongingness (TB) and perceived burdensomeness (PB)) have a major impact on depression and suicide attempts. Individuals seek social connectedness on social media to boost and allev...	[]	Train
22,065	3	Title: Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic Abstract: The outbreak of the COVID-19 pandemic has had an unprecedented impact on China's labour market, and has largely changed the structure of labour supply and demand in different regions. It becomes critical for policy m...	[]	Train
22,066	24	Title: DAG Learning on the Permutahedron Abstract: We propose a continuous optimization framework for discovering a latent directed acyclic graph (DAG) from observational data. Our approach optimizes over the polytope of permutation vectors, the so-called Permutahedron, to learn a topological ordering. Edges can be opt...	[ 22381, 1750 ]	Train
22,067	16	Title: OASIS: Automated Assessment of Urban Pedestrian Paths at Scale Abstract: The inspection of the Public Right of Way (PROW) for accessibility barriers is necessary for monitoring and maintaining the built environment for communities' walkability, rollability, safety, active transportation, and sustainability. Howe...	[]	Test
22,068	24	Title: Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees Abstract: Hierarchical Clustering is a popular unsupervised machine learning method with decades of history and numerous applications. We initiate the study of differentially private approximation algorithms for hierarchical cl...	[ 31083 ]	Validation
22,069	11	Title: Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks Abstract: The Space-Air-Ground Integrated Network (SAGIN), integrating heterogeneous devices including low earth orbit (LEO) satellites, unmanned aerial vehicles (UAVs), and ground users...	[]	Validation
22,070	24	Title: Investigating minimizing the training set fill distance in machine learning regression Abstract: Many machine learning regression methods leverage large datasets for training predictive models. However, using large datasets may not be feasible due to computational limitations or high labelling costs. Therefore, ...	[]	Test
22,071	4	Title: CryptoScratch: Developing and evaluating a block-based programming tool for teaching K-12 cryptography education using Scratch Abstract: The world continues to experience a shortage of skilled cybersecurity personnel. The widely accepted solution for reducing this gap is raising awareness about cybersecurity. In...	[ 17664, 39345, 25232 ]	Validation
22,072	16	Title: AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion Abstract: Despite the impressive results achieved by many existing Structure from Motion (SfM) approaches, there is still a need to improve the robustness, accuracy, and efficiency on large-scale scenes with many outlier matches and sp...	[ 16735 ]	Train
22,073	30	Title: Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs Abstract: Large language models (LLMs) possess a wealth of knowledge encoded in their parameters. However, this knowledge may become outdated or unsuitable over time. As a result, there has been a growing interest in knowledge editing for LLMs a...	[ 40192, 13700, 27754, 13549, 29396 ]	Train
22,074	24	Title: Symmetric Exploration in Combinatorial Optimization is Free! Abstract: Recently, deep reinforcement learning (DRL) has shown promise in solving combinatorial optimization (CO) problems. However, they often require a large number of evaluations on the objective function, which can be time-consuming in real-world ...	[]	Validation
22,075	8	Title: Experiments on Computer Networks: Quickly Knowing the Protocols in the TCP/IP Suite Abstract: Manual of practical experiments on protocols used in the Internet or TCP/IP Suite. This manual is a collection of experiments that have been used in undergraduate and graduate courses taught at New Jersey Institute of T...	[]	Test
22,076	3	Title: Explanatory Publics: Explainability and Democratic Thought Abstract: In order to legitimate and defend democratic politics under conditions of computational capital, my aim is to contribute a notion of what I am calling explanatory publics. I will explore what is at stake when we question the social and politica...	[ 3276 ]	Validation
22,077	16	Title: Scaling Data Generation in Vision-and-Language Navigation Abstract: Recent research in language-guided visual navigation has demonstrated a significant demand for the diversity of traversable environments and the quantity of supervision for training generalizable agents. To tackle the common data scarcity issue ...	[ 19719, 3625, 16650, 41753, 35005 ]	Train

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