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
40,278	24	Title: Layerwise Linear Mode Connectivity Abstract: In the federated setup one performs an aggregation of separate local models multiple times during training in order to obtain a stronger global model; most often aggregation is a simple averaging of the parameters. Understanding when and why averaging works in a non-c...	[]	Train
40,279	4	Title: Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving) Abstract: Today, targeted online advertising relies on unique identifiers assigned to users through third-party cookies--a practice at odds with user privacy. While the web and advertising communities have proposed solutions tha...	[ 43232 ]	Validation
40,280	4	Title: Vulnerability Detection Approaches on Application Behaviors in Mobile Environment Abstract: Several solutions ensuring the dynamic detection of malicious activities on Android ecosystem have been proposed. These are represented by generic rules and models that identify any purported malicious behavior. However, ...	[]	Validation
40,281	16	Title: Affordance Diffusion: Synthesizing Hand-Object Interactions Abstract: Recent successes in image synthesis are powered by large-scale diffusion models. However, most methods are currently limited to either text- or image-conditioned generation for synthesizing an entire image, texture transfer or inserting object...	[ 32355, 38181, 4583, 41138, 8854, 28827 ]	Train
40,282	24	Title: Maximizing Success Rate of Payment Routing using Non-stationary Bandits Abstract: This paper discusses the system architecture design and deployment of non-stationary multi-armed bandit approaches to determine a near-optimal payment routing policy based on the recent history of transactions. We propose a Routing...	[]	Validation
40,283	27	Title: Sequence-Agnostic Multi-Object Navigation Abstract: The Multi-Object Navigation (MultiON) task requires a robot to localize an instance (each) of multiple object classes. It is a fundamental task for an assistive robot in a home or a factory. Existing methods for MultiON have viewed this as a direct extension of...	[ 19474 ]	Test
40,284	31	Title: Tracking Brand-Associated Polarity-Bearing Topics in User Reviews Abstract: Monitoring online customer reviews is important for business organizations to measure customer satisfaction and better manage their reputations. In this paper, we propose a novel dynamic Brand-Topic Model (dBTM) which is able to automati...	[]	Test
40,285	33	Title: A Unified Model for Real-Time Systems: Symbolic Techniques and Implementation Abstract: In this paper, we consider a model of generalized timed automata (GTA) with two kinds of clocks, history and future, that can express many timed features succinctly, including timed automata, event-clock automata with and wit...	[]	Test
40,286	30	Title: Color Me Intrigued: Quantifying Usage of Colors in Fiction Abstract: We present preliminary results in quantitative analyses of color usage in selected authors' works from LitBank. Using Glasgow Norms, human ratings on 5000+ words, we measure attributes of nouns dependent on color terms. Early results demonstrat...	[]	Validation
40,287	16	Title: CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Abstract: Class imbalance problems frequently occur in real-world tasks, and conventional deep learning algorithms are well known for performance degradation on imbalanced training datasets. To mitigate this problem, many approaches have aimed to ...	[ 27422, 32847 ]	Train
40,288	8	Title: Decentralized Learning over Wireless Networks: The Effect of Broadcast with Random Access Abstract: In this work, we focus on the communication aspect of decentralized learning, which involves multiple agents training a shared machine learning model using decentralized stochastic gradient descent (D-SGD) over di...	[]	Train
40,289	30	Title: MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning Abstract: The first Multimodal Emotion Recognition Challenge (MER 2023) was successfully held at ACM Multimedia. The challenge focuses on system robustness and consists of three distinct tracks: (1) MER-MULTI, where participants ar...	[ 17281 ]	Validation
40,290	3	Title: Infomathic Abstract: Since its existence, the computer tool has often supported mathematicians, whether it is to implement an approximation method (numerical calculation of a root, of an integral, ...) or to simulate a phenomenon (geometric in nature, probabilistic, ...) to verify or establish a conjecture. But,...	[]	Test
40,291	27	Title: LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking Abstract: Simultaneous localization and mapping (SLAM) is critical to the implementation of autonomous driving. Most LiDAR-inertial SLAM algorithms assume a static environment, leading to unreliable localization in dynamic envi...	[]	Train
40,292	7	Title: Generalized Stratified Sampling for Efficient Reliability Assessment of Structures Against Natural Hazards Abstract: Performance-based engineering for natural hazards facilitates the design and appraisal of structures with rigorous evaluation of their uncertain structural behavior under potentially extreme stoch...	[]	Train
40,293	16	Title: Learning a Diffusion Prior for NeRFs Abstract: Neural Radiance Fields (NeRFs) have emerged as a powerful neural 3D representation for objects and scenes derived from 2D data. Generating NeRFs, however, remains difficult in many scenarios. For instance, training a NeRF with only a small number of views as supervi...	[ 45634, 26941, 21997 ]	Test
40,294	33	Title: Refutations of pebble minimization via output languages Abstract: Polyregular functions are the class of string-to-string functions definable by pebble transducers, an extension of finite-state automata with outputs and multiple two-way reading heads (pebbles) with a stack discipline. If a polyregular function c...	[]	Test
40,295	24	Title: Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach Abstract: Several domains increasingly rely on machine learning in their applications. The resulting heavy dependence on data has led to the emergence of various laws and regulations around data ethics ...	[]	Train
40,296	16	Title: Unifying (Machine) Vision via Counterfactual World Modeling Abstract: Leading approaches in machine vision employ different architectures for different tasks, trained on costly task-specific labeled datasets. This complexity has held back progress in areas, such as robotics, where robust task-general perception ...	[ 11959 ]	Train
40,297	27	Title: Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem Abstract: The engineering community currently encounters significant challenges in the development of intelligent transportation algorithms that can be transferred from simulation to reality with minimal effort. This can be achieved by ro...	[]	Train
40,298	27	Title: Robust Imaging Sonar-based Place Recognition and Localization in Underwater Environments Abstract: Place recognition using SOund Navigation and Ranging (SONAR) images is an important task for simultaneous localization and mapping (SLAM) in underwater environments. This paper proposes a robust and efficient imagi...	[]	Train
40,299	34	Title: An Approximation Algorithm for Two-Edge-Connected Subgraph Problem via Triangle-free Two-Edge-Cover Abstract: The $2$-Edge-Connected Spanning Subgraph problem (2-ECSS) is one of the most fundamental and well-studied problems in the context of network design. In the problem, we are given an undirected graph $G$, ...	[]	Train
40,300	3	Title: Ethics in Computing Education: Challenges and Experience with Embedded Ethics Abstract: The next generation of computer engineers and scientists must be proficient in not just the technical knowledge required to analyze, optimize, and create computing systems, but also with the skills required to make ethical de...	[]	Train
40,301	24	Title: Fast Attention Requires Bounded Entries Abstract: In modern machine learning, inner product attention computation is a fundamental task for training large language models such as Transformer, GPT-1, BERT, GPT-2, GPT-3 and ChatGPT. Formally, in this problem, one is given as input three matrices $Q, K, V \in [-B,B...	[ 16781, 39573, 32416, 11809, 26657, 29089, 13100, 20911, 16949, 24635, 17354, 29006, 7506, 7643, 20449, 12898, 46051, 34404, 41321, 24299, 8436, 11128 ]	Validation
40,302	16	Title: Towards Spatial Equilibrium Object Detection Abstract: Semantic objects are unevenly distributed over images. In this paper, we study the spatial disequilibrium problem of modern object detectors and propose to quantify this “spatial bias” by measuring the detection performance over zones. Our analysis surprisin...	[]	Train
40,303	30	Title: CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models Abstract: redWarning: This paper contains content that may be offensive or upsetting.Pretrained conversational agents have been exposed to safety issues, exhibiting a range of stereotypical human biases such as gender bias. However,...	[ 12602 ]	Train
40,304	30	Title: Large Language Models as Corporate Lobbyists Abstract: We demonstrate a proof-of-concept of a large language model conducting corporate lobbying related activities. An autoregressive large language model (OpenAI's text-davinci-003) determines if proposed U.S. Congressional bills are relevant to specific public c...	[ 25953, 43085, 37870, 7502, 34545, 42258, 39642 ]	Validation
40,305	4	Title: Advanced Security Threat Modelling for Blockchain-Based FinTech Applications Abstract: Cybersecurity threats and vulnerabilities continue to grow in number and complexity, presenting an increasing challenge for organizations worldwide. Organizations use threat modelling and bug bounty programs to address these t...	[]	Train
40,306	16	Title: CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions Abstract: Traffic sign detection is an important research direction in intelligent driving. Unfortunately, existing methods often overlook extreme conditions such as fog, rain, and motion blur. Moreover, the end-to...	[]	Train
40,307	16	Title: Planar Curve Registration using Bayesian Inversion Abstract: We study parameterisation-independent closed planar curve matching as a Bayesian inverse problem. The motion of the curve is modelled via a curve on the diffeomorphism group acting on the ambient space, leading to a large deformation diffeomorphic metr...	[]	Train
40,308	22	Title: Matching Linear Algebra and Tensor Code to Specialized Hardware Accelerators Abstract: Dedicated tensor accelerators demonstrate the importance of linear algebra in modern applications. Such accelerators have the potential for impressive performance gains, but require programmers to rewrite code using vendor API...	[ 6989 ]	Test
40,309	30	Title: Building Multimodal AI Chatbots Abstract: This work aims to create a multimodal AI system that chats with humans and shares relevant photos. While earlier works were limited to dialogues about specific objects or scenes within images, recent works have incorporated images into open-domain dialogues. However, the...	[]	Validation
40,310	16	Title: Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels Abstract: The soft Dice loss (SDL) has taken a pivotal role in many automated segmentation pipelines in the medical imaging community. Over the last years, some reasons behind its superior functioning have been uncovered and further optimizations...	[ 16790 ]	Train
40,311	30	Title: Sentence-Incremental Neural Coreference Resolution Abstract: We propose a sentence-incremental neural coreference resolution system which incrementally builds clusters after marking mention boundaries in a shift-reduce method. The system is aimed at bridging two recent approaches at coreference resolution: (1) s...	[ 32371, 6662 ]	Train
40,312	39	Title: On the Number of Maximal Cliques in Two-Dimensional Random Geometric Graphs: Euclidean and Hyperbolic Abstract: Maximal clique enumeration appears in various real-world networks, such as social networks and protein-protein interaction networks for different applications. For general graph inputs, the number of m...	[]	Train
40,313	25	Title: WuYun: Exploring hierarchical skeleton-guided melody generation using knowledge-enhanced deep learning Abstract: Although deep learning has revolutionized music generation, existing methods for structured melody generation follow an end-to-end left-to-right note-by-note generative paradigm and treat each note eq...	[]	Train
40,314	23	Title: SourceP: Detecting Ponzi Schemes on Ethereum with Source Code Abstract: As blockchain technology becomes more and more popular, a typical financial scam, the Ponzi scheme, has also emerged in the blockchain platform Ethereum. This Ponzi scheme deployed through smart contracts, also known as the smart Ponzi schem...	[ 21562, 33220 ]	Train
40,315	24	Title: Physics-Informed Polynomial Chaos Expansions Abstract: Surrogate modeling of costly mathematical models representing physical systems is challenging since it is typically not possible to create a large experimental design. Thus, it is beneficial to constrain the approximation to adhere to the known physics of th...	[ 41809, 23873 ]	Validation
40,316	16	Title: Causal Video Summarizer for Video Exploration Abstract: Recently, video summarization has been proposed as a method to help video exploration. However, traditional video summarization models only generate a fixed video summary which is usually independent of user-specific needs and hence limits the effectiveness...	[ 44728, 35573, 3263 ]	Test
40,317	27	Title: Predictive and Robust Robot Assistance for Sequential Manipulation Abstract: This paper presents a novel concept to support physically impaired humans in daily object manipulation tasks with a robot. Given a user's manipulation sequence, we propose a predictive model that uniquely casts the user's sequential beh...	[ 6670 ]	Train
40,318	16	Title: Region and Spatial Aware Anomaly Detection for Fundus Images Abstract: Recently anomaly detection has drawn much attention in diagnosing ocular diseases. Most existing anomaly detection research in fundus images has relatively large anomaly scores in the salient retinal structures, such as blood vessels, optical...	[]	Validation
40,319	27	Title: Learning-Based Defect Recognitions for Autonomous UAV Inspections Abstract: Automatic crack detection and segmentation play a significant role in the whole system of unmanned aerial vehicle inspections. In this paper, we have implemented a deep learning framework for crack detection based on classical network ar...	[ 37472, 17410 ]	Train
40,320	24	Title: Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency Abstract: Recently, several studies (Zhou et al., 2021a; Zhang et al., 2021b; Kim et al., 2021; Zhou and Gu, 2022) have provided variance-dependent regret bounds for linear contextual bandits, ...	[ 6306, 12159, 24703, 3287 ]	Train
40,321	37	Title: Towards Evolution Capabilities in Data Pipelines Abstract: Evolutionary change over time in the context of data pipelines is certain, especially with regard to the structure and semantics of data as well as to the pipeline operators. Dealing with these changes, i.e. providing long-term maintenance, is costly. Th...	[ 14918 ]	Validation
40,322	27	Title: Keyframe Demonstration Seeded and Bayesian Optimized Policy Search Abstract: —This paper introduces a novel Learning from Demonstration framework to learn robotic skills with keyframe demonstrations using a Dynamic Bayesian Network (DBN) and a Bayesian Optimized Policy Search approach to improve the learned skil...	[]	Validation
40,323	30	Title: An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models Abstract: Large language models (LLMs) have achieved significant success in interacting with human. However, recent studies have revealed that these models often suffer from hallucinations, leading to ove...	[ 15075, 13700, 13029, 15301, 33220, 6700, 13749, 2102, 24760 ]	Validation
40,324	3	Title: Geospatial Tessellation in the Agent-In-Cell Model: A Framework for Agent-Based Modeling of Pandemic Abstract: Agent-based simulation is a versatile and potent computational modeling technique employed to analyze intricate systems and phenomena spanning diverse fields. However, due to their computational intensi...	[]	Train
40,325	30	Title: MUTANT: A Multi-sentential Code-mixed Hinglish Dataset Abstract: The multi-sentential long sequence textual data unfolds several interesting research directions pertaining to natural language processing and generation. Though we observe several high-quality long-sequence datasets for English and other monolingua...	[]	Validation
40,326	27	Title: Reinforcement Learning based Autonomous Multi-Rotor Landing on Moving Platforms Abstract: Multi-rotor UAVs suffer from a restricted range and flight duration due to limited battery capacity. Autonomous landing on a 2D moving platform offers the possibility to replenish batteries and offload data, thus increasing...	[]	Train
40,327	16	Title: Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling Abstract: Detecting relevant changes is a fundamental problem of video surveillance. Because of the high variability of data and the difficulty of properly annotating changes, unsupervised methods dominate the field. Arguably one of...	[]	Train
40,328	16	Title: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning Abstract: Two-Tower Vision-Language (VL) models have shown promising improvements on various downstream VL tasks. Although the most advanced work improves performance by building bridges between encoders, it s...	[]	Validation
40,329	30	Title: Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models Abstract: Existing dialogue models may encounter scenarios which are not well-represented in the training data, and as a result generate responses that are unnatural, inappropriate, or unhelpful. We propose ...	[ 6048 ]	Train
40,330	10	Title: From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models Abstract: Big models, exemplified by Large Language Models (LLMs), are models typically pre-trained on massive data and comprised of enormous parameters, which not only obtain significantly improved performance across divers...	[ 17153, 8580, 13700, 4111, 7695, 407, 39576, 32542, 25892, 12709, 1575, 25772, 38958, 29999, 26035, 6328, 22201, 9403, 33220, 13510, 975, 36179, 10964, 1369, 27248, 40693, 43641, 43771 ]	Train
40,331	23	Title: Effective Random Test Generation for Deep Learning Compilers Abstract: Deep learning compilers help address difficulties of deploying deep learning models on diverse types of hardware. Testing deep learning compilers is highly crucial, because they are impacting countless AI applications that use them for model ...	[]	Validation
40,332	16	Title: Learning to Identify Critical States for Reinforcement Learning from Videos Abstract: Recent work on deep reinforcement learning (DRL) has pointed out that algorithmic information about good policies can be extracted from offline data which lack explicit information about executed actions. For example, videos of...	[ 27577 ]	Train
40,333	24	Title: AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT (preprint) Abstract: While it is well known that population differences from genetics, sex, race, and environmental factors contribute to disease, AI studies in medicine have largely focused on locoregional patient cohorts with...	[]	Train
40,334	26	Title: California Exodus? A Network Model of Population Redistribution in the United States Abstract: Motivated by debates about California's net migration loss, we employ valued exponential-family random graph models to analyze the inter-county migration flow networks in the United States. We introduce a protocol that...	[]	Validation
40,335	16	Title: One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data Abstract: Brain extraction, registration and segmentation are indispensable preprocessing steps in neuroimaging studies. The aim is to extract the brain from raw imaging scans (i.e., extraction step), align it with a target brain image...	[]	Train
40,336	30	Title: Long-Range Transformer Architectures for Document Understanding Abstract: nan	[]	Validation
40,337	31	Title: Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives Abstract: The advent of personalized news recommendation has given rise to increasingly complex recommender architectures. Most neural news recommenders rely on user click behavior and typically introduce dedicated use...	[ 33031 ]	Train
40,338	24	Title: Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Abstract: Previous studies have shown that leveraging domain index can significantly boost domain adaptation performance (arXiv:2007.01807, arXiv:2202.03628). However, such domain indices are not always available. To address this...	[ 8466, 40451 ]	Train
40,339	16	Title: DCANet: Dual Convolutional Neural Network with Attention for Image Blind Denoising Abstract: Noise removal of images is an essential preprocessing procedure for many computer vision tasks. Currently, many denoising models based on deep neural networks can perform well in removing the noise with known distributio...	[]	Train
40,340	16	Title: CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in Precision Agriculture Abstract: The growing demand for precision agriculture necessitates efficient and accurate crop-weed recognition and classification systems. Current datasets often lack the sample size, diversity, and hierarchical stru...	[]	Validation
40,341	30	Title: Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models Abstract: Instruction tuning is instrumental in enabling Large Language Models~(LLMs) to follow user instructions to complete various open-domain tasks. The success of instruction tuning depend...	[ 14592, 13345, 13700, 25892, 42756, 34477, 10964, 10518, 6328 ]	Train
40,342	16	Title: A Revisit to the Normalized Eight-Point Algorithm and A Self-Supervised Deep Solution Abstract: The Normalized Eight-Point algorithm has been widely viewed as the cornerstone in two-view geometry computation, where the seminal Hartley's normalization greatly improves the performance of the direct linear transfor...	[]	Train
40,343	15	Title: Mapi-Pro: An Energy Efficient Memory Mapping Technique for Intermittent Computing Abstract: Battery-less technology evolved to replace battery usage in space, deep mines, and other environments to reduce cost and pollution. Non-volatile memory (NVM) based processors were explored for saving the system state duri...	[]	Test
40,344	16	Title: Efficient Multi-Scale Attention Module with Cross-Spatial Learning Abstract: Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various computer vision tasks. However, modeling the cross-channel relationships with chann...	[]	Train
40,345	24	Title: Graph Theory Applications in Advanced Geospatial Research Abstract: Geospatial sciences include a wide range of applications, from environmental monitoring transportation to infrastructure planning, as well as location-based analysis and services. Graph theory algorithms in mathematics have emerged as indispensa...	[]	Train
40,346	3	Title: The impact of an employee’s psychological contract breach on compliance with information security policies: intrinsic and extrinsic motivation Abstract: nan	[]	Train
40,347	16	Title: Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image Abstract: Reconstructing category-specific objects from a single image is a challenging task that requires inferring the geometry and appearance of an object from a limited viewpoint. Existing methods typically rely on local ...	[]	Train
40,348	24	Title: Taming Local Effects in Graph-based Spatiotemporal Forecasting Abstract: Spatiotemporal graph neural networks have shown to be effective in time series forecasting applications, achieving better performance than standard univariate predictors in several settings. These architectures take advantage of a graph str...	[ 1876, 32869, 36791 ]	Test
40,349	23	Title: Testing GitHub projects on custom resources using unprivileged Kubernetes runners Abstract: GitHub is a popular repository for hosting software projects, both due to ease of use and the seamless integration with its testing environment. Native GitHub Actions make it easy for software developers to validate new c...	[]	Train
40,350	16	Title: Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering Abstract: Conventional Transformer-based Video Question Answering (VideoQA) approaches generally encode frames independently through one or more image encoders followed by interaction between frames and questio...	[]	Train
40,351	25	Title: AudioSR: Versatile Audio Super-resolution at Scale Abstract: Audio super-resolution is a fundamental task that predicts high-frequency components for low-resolution audio, enhancing audio quality in digital applications. Previous methods have limitations such as the limited scope of audio types (e.g., music, spe...	[ 4481, 45986, 6058, 35800, 4088 ]	Train
40,352	9	Title: Efficiently-Verifiable Strong Uniquely Solvable Puzzles and Matrix Multiplication Abstract: We advance the Cohn-Umans framework for developing fast matrix multiplication algorithms. We introduce, analyze, and search for a new subclass of strong uniquely solvable puzzles (SUSP), which we call simplifiable SUSPs. ...	[ 25186 ]	Validation
40,353	3	Title: Auditing Yelp's Business Ranking and Review Recommendation Through the Lens of Fairness Abstract: Web 2.0 recommendation systems, such as Yelp, connect users and businesses so that users can identify new businesses and simultaneously express their experiences in the form of reviews. Yelp recommendation software ...	[]	Test
40,354	4	Title: Machine Learning for Detection and Mitigation of Web Vulnerabilities and Web Attacks Abstract: Detection and mitigation of critical web vulnerabilities and attacks like cross-site scripting (XSS), and cross-site request forgery (CSRF) have been a great concern in the field of web security. Such web attacks are e...	[]	Train
40,355	30	Title: I2I: Initializing Adapters with Improvised Knowledge Abstract: Adapters present a promising solution to the catastrophic forgetting problem in continual learning. However, training independent Adapter modules for every new task misses an opportunity for cross-task knowledge transfer. We propose Improvise to Init...	[ 23909 ]	Train
40,356	27	Title: Online Time-Optimal Trajectory Planning on Three-Dimensional Race Tracks Abstract: We propose an online planning approach for racing that generates the time-optimal trajectory for the upcoming track section. The resulting trajectory takes the current vehicle state, effects caused by three-dimensional track geome...	[ 37754 ]	Train
40,357	27	Title: Mechanical Intelligence Simplifies Control in Terrestrial Limbless Locomotion Abstract: Limbless locomotors, from microscopic worms to macroscopic snakes, traverse complex, heterogeneous natural environments typically using undulatory body wave propagation. Theoretical and robophysical models typically emphasize...	[]	Train
40,358	7	Title: A phase-field chemo-mechanical model for corrosion-induced cracking in reinforced concrete Abstract: We present a new mechanistic framework for corrosion-induced cracking in reinforced concrete that resolves the underlying chemo-mechanical processes. The framework combines, for the first time, (i) a model for re...	[]	Test
40,359	16	Title: ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking Abstract: Multi-Camera Multi-Object Tracking (MC-MOT) utilizes information from multiple views to better handle problems with occlusion and crowded scenes. Recently, the use of graph-based approaches to solve tracking prob...	[]	Train
40,360	16	Title: Spatiotemporal Pyramidal CNN with Depth-Wise Separable Convolution for Eye Blinking Detection in the Wild Abstract: Eye blinking detection in the wild plays an essential role in deception detection, driving fatigue detection, etc. Despite the fact that numerous attempts have already been made, the majority of th...	[]	Test
40,361	13	Title: Discrete neural nets and polymorphic learning Abstract: Theorems from universal algebra such as that of Murski\u{i} from the 1970s have a striking similarity to universal approximation results for neural nets along the lines of Cybenko's from the 1980s. We consider here a discrete analogue of the classical notio...	[]	Test
40,362	16	Title: MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection Abstract: In this paper, we propose a novel and effective Multi-Level Fusion network, named as MLF-DET, for high-performance cross-modal 3D object DETection, which integrates both the feature-level fusion and decision-level fusion to fully utilize t...	[ 21962 ]	Validation
40,363	34	Title: CLAM-Accelerated K-Nearest Neighbors Entropy-Scaling Search of Large High-Dimensional Datasets via an Actualization of the Manifold Hypothesis Abstract: Many fields are experiencing a Big Data explosion, with data collection rates outpacing the rate of computing performance improvements predicted by Moore's Law....	[ 43641, 33220 ]	Train
40,364	24	Title: Efficient displacement convex optimization with particle gradient descent Abstract: Particle gradient descent, which uses particles to represent a probability measure and performs gradient descent on particles in parallel, is widely used to optimize functions of probability measures. This paper considers particl...	[]	Test
40,365	16	Title: LEAPS: End-to-End One-Step Person Search With Learnable Proposals Abstract: We propose an end-to-end one-step person search approach with learnable proposals, named LEAPS. Given a set of sparse and learnable proposals, LEAPS employs a dynamic person search head to directly perform person detection and correspond...	[]	Train
40,366	6	Title: Challenges and Opportunities of Content Optimization for Freeform User Interfaces Abstract: While recent innovations on shape technologies allow for the creation of displays with almost unlimited form factors, current graphical user interfaces still rely on rectangular layouts and contents. This rectangular lega...	[]	Validation
40,367	24	Title: Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation Abstract: Deep Reinforcement Learning (DRL) has demonstrated promising capability in solving complex control problems. However, DRL applications in safety-critical systems are hindered by the inherent lack of robu...	[ 21 ]	Train
40,368	10	Title: Generalized Planning in PDDL Domains with Pretrained Large Language Models Abstract: Recent work has considered whether large language models (LLMs) can function as planners: given a task, generate a plan. We investigate whether LLMs can serve as generalized planners: given a domain and training tasks, generate ...	[ 9314, 13510, 8138, 39114, 5975, 33455, 43471, 41425, 22578, 24948, 5078, 2678, 5816, 22518, 634 ]	Test
40,369	6	Title: Creating Informal Learning and First Responder Training XR Experiences with the ImmersiveDeck Abstract: In recent years eXtended Reality (XR) technologies have matured and have become affordable, yet creating XR experiences for training and learning in many cases is still a time-consuming and costly process, hin...	[]	Train
40,370	10	Title: RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Abstract: While reinforcement learning (RL) algorithms have been successfully applied to numerous tasks, their reliance on neural networks makes their behavior difficult to understand and trust. Counterfactual explanatio...	[]	Train
40,371	24	Title: Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity Abstract: Recent work has revealed many intriguing empirical phenomena in neural network training, despite the poorly understood and highly complex loss landscapes and training dynamics. One of these phenomena, Linear Mode Connectiv...	[]	Train
40,372	24	Title: On the Adversarial Robustness of Generative Autoencoders in the Latent Space Abstract: The generative autoencoders, such as the variational autoencoders or the adversarial autoencoders, have achieved great success in lots of real-world applications, including image generation, and signal communication. However, ...	[]	Train
40,373	30	Title: Rethinking Language Models as Symbolic Knowledge Graphs Abstract: Symbolic knowledge graphs (KGs) play a pivotal role in knowledge-centric applications such as search, question answering and recommendation. As contemporary language models (LMs) trained on extensive textual data have gained prominence, researcher...	[ 2506, 25877 ]	Train
40,374	39	Title: Can Few Lines of Code Change Society ? Beyond fack-checking and moderation : how recommender systems toxifies social networking sites Abstract: As the last few years have seen an increase in online hostility and polarization both, we need to move beyond the fack-checking reflex or the praise for better moderatio...	[]	Train
40,375	24	Title: WF-UNet: Weather Fusion UNet for Precipitation Nowcasting Abstract: Designing early warning systems for harsh weather and its effects, such as urban flooding or landslides, requires accurate short-term forecasts (nowcasts) of precipitation. Nowcasting is a significant task with several environmental applications...	[ 19222 ]	Train
40,376	25	Title: Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing Abstract: Non-speech emotion recognition has a wide range of applications including healthcare, crime control and rescue, and entertainment, to name a few. Providing these applications using edge computing has great potential, howeve...	[ 11929 ]	Train
40,377	10	Title: Asking Before Action: Gather Information in Embodied Decision Making with Language Models Abstract: With strong capabilities of reasoning and a generic understanding of the world, Large Language Models (LLMs) have shown great potential in building versatile embodied decision making agents capable of performing d...	[ 44482, 30243, 13510, 43271, 22152, 7470, 3793, 402, 22518, 13564 ]	Train

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