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
25,778	5	Title: Towards Universally Optimal Shortest Paths Algorithms in the Hybrid Model Abstract: A drawback of the classic approach for complexity analysis of distributed graph problems is that it mostly informs about the complexity of notorious classes of ``worst case'' graphs. Algorithms that are used to prove a tight (exi...	[ 21870 ]	Train
25,779	27	Title: A Search Strategy and Vessel Detection in Maritime Environment Using Fixed-Wing UAVs Abstract: In this paper, we address the problem of autonomous search and vessel detection in an unknown GNSS-denied maritime environment with fixed-wing UAVs. The main challenge in such environments with limited localization, co...	[]	Validation
25,780	16	Title: One-shot domain adaptation in video-based assessment of surgical skills Abstract: Deep Learning (DL) has achieved automatic and objective assessment of surgical skills. However, DL models are data-hungry and restricted to their training domain. This prevents them from transitioning to new tasks where data is lim...	[]	Train
25,781	23	Title: rCanary: Detecting Memory Leaks Across Semi-automated Memory Management Boundary in Rust Abstract: Rust is an effective system programming language that guarantees memory safety via compile-time verifications. It employs a novel ownership-based resource management model to facilitate automated resource deallocat...	[ 17944 ]	Train
25,782	24	Title: A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks Abstract: Counterexample-guided repair aims at creating neural networks with mathematical safety guarantees, facilitating the application of neural networks in safety-critical domains. However, whether counterexample-guided repa...	[]	Train
25,783	24	Title: Ordering for Non-Replacement SGD Abstract: One approach for reducing run time and improving efficiency of machine learning is to reduce the convergence rate of the optimization algorithm used. Shuffling is an algorithm technique that is widely used in machine learning, but it only started to gain attention theor...	[]	Train
25,784	34	Title: The Bit Complexity of Efficient Continuous Optimization Abstract: We analyze the bit complexity of efficient algorithms for fundamental optimization problems, such as linear regression, $p$-norm regression, and linear programming (LP). State-of-the-art algorithms are iterative, and in terms of the number of arit...	[]	Train
25,785	24	Title: Adversarial Learning for Implicit Semantic-Aware Communications Abstract: .	[]	Test
25,786	30	Title: The False Promise of Imitating Proprietary LLMs Abstract: An emerging method to cheaply improve a weaker language model is to finetune it on outputs from a stronger model, such as a proprietary system like ChatGPT (e.g., Alpaca, Self-Instruct, and others). This approach looks to cheaply imitate the proprietary m...	[ 7424, 13700, 6535, 16651, 12940, 6797, 22670, 14991, 41104, 14609, 17938, 13844, 43930, 32410, 4639, 34208, 12321, 13345, 4902, 39, 22444, 40882, 10676, 32184, 9403, 25789, 12741, 39377, 37987, 35556, 41318, 3431, 36967, 35051, 17517, 12526, 14...	Validation
25,787	27	Title: Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly Abstract: Machine Learning (ML) models in Robotic Assembly Sequence Planning (RASP) need to be introspective on the predicted solutions, i.e. whether they are feasible or not, to circumvent potential efficiency degradati...	[ 1584, 23729 ]	Train
25,788	17	Title: Neural Super-Resolution for Real-time Rendering with Radiance Demodulation Abstract: Rendering high-resolution images in real-time applications (e.g., video games, virtual reality) is time-consuming, thus super-resolution technology becomes more and more crucial in real-time rendering. However, it is still chall...	[]	Test
25,789	30	Title: Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions Abstract: Training large language models to follow instructions makes them perform better on a wide range of tasks, generally becoming more helpful. However, a perfectly helpful model will follow even the mos...	[ 12128, 33220, 36714, 1515, 109, 17295, 10800, 43641, 36179, 5815, 6328, 729, 25786, 9403 ]	Train
25,790	27	Title: GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library Abstract: Accurate navigation is essential for autonomous robots and vehicles. In recent years, the integration of the Global Navigation Satellite System (GNSS), Inertial Navigation System (INS), and camera has garnered considerable attention due to its r...	[]	Validation
25,791	16	Title: LFS-GAN: Lifelong Few-Shot Image Generation Abstract: We address a challenging lifelong few-shot image generation task for the first time. In this situation, a generative model learns a sequence of tasks using only a few samples per task. Consequently, the learned model encounters both catastrophic forgetting an...	[ 28642 ]	Test
25,792	31	Title: Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit Abstract: Name disambiguation---a fundamental problem in online academic systems--is now facing greater challenges with the increasing growth of research papers. For example, on AMiner, an online academic search platform, ab...	[]	Validation
25,793	24	Title: TAPS: Connecting Certified and Adversarial Training Abstract: Training certifiably robust neural networks remains a notoriously hard problem. On one side, adversarial training optimizes under-approximations of the worst-case loss, which leads to insufficient regularization for certification, while on the other, ...	[ 16416, 20493, 4318 ]	Test
25,794	38	Title: Evolving landscape of US-China science collaboration: Convergence and divergence Abstract: International research collaboration among global scientific powerhouses has exhibited a discernible trend towards convergence in recent decades. Notably, the US and China have significantly fortified their collaboration a...	[]	Train
25,795	30	Title: ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness Abstract: The emergence of generative large language models (LLMs) raises the question: what will be its impact on crowdsourcing. Traditionally, crowdsourcing has been used for acquiring so...	[ 12128, 15049, 36751, 44246, 32567, 35545, 39642, 1789 ]	Validation
25,796	24	Title: Learning Hidden Markov Models Using Conditional Samples Abstract: This paper is concerned with the computational complexity of learning the Hidden Markov Model (HMM). Although HMMs are some of the most widely used tools in sequential and time series modeling, they are cryptographically hard to learn in the stand...	[ 24441 ]	Train
25,797	27	Title: Enhanced 6D Pose Estimation for Robotic Fruit Picking Abstract: This paper proposes a novel method to refine the 6D pose estimation inferred by an instance-level deep neural network which processes a single RGB image and that has been trained on synthetic images only. The proposed optimization algorithm usefully...	[]	Train
25,798	16	Title: Learning Image Deraining Transformer Network with Dynamic Dual Self-Attention Abstract: Recently, Transformer-based architecture has been introduced into single image deraining task due to its advantage in modeling non-local information. However, existing approaches tend to integrate global features based on a d...	[]	Train
25,799	27	Title: MOPA: Modular Object Navigation with PointGoal Agents Abstract: We propose a simple but effective modular approach MOPA (Modular ObjectNav with PointGoal agents) to systematically investigate the inherent modularity of the object navigation task in Embodied AI. MOPA consists of four modules: (a) an object detect...	[ 16435, 37380, 21310 ]	Train
25,800	24	Title: Selected aspects of complex, hypercomplex and fuzzy neural networks Abstract: This short report reviews the current state of the research and methodology on theoretical and practical aspects of Artificial Neural Networks (ANN). It was prepared to gather state-of-the-art knowledge needed to construct complex, hyp...	[]	Test
25,801	24	Title: Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data Abstract: Developing theoretical guarantees on the sample complexity of offline RL methods is an important step towards making data-hungry RL algorithms practically viable. Currently, most results hinge on unrealistic assumptions...	[]	Validation
25,802	16	Title: MULLER: Multilayer Laplacian Resizer for Vision Abstract: Image resizing operation is a fundamental preprocessing module in modern computer vision. Throughout the deep learning revolution, researchers have overlooked the potential of alternative resizing methods beyond the commonly used resizers that are readily...	[]	Train
25,803	16	Title: SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras Abstract: Intelligent transportation systems (ITS) have revolutionized modern road infrastructure, providing essential functionalities such as traffic monitoring, road safety assessment, congestion reduction, and l...	[ 25173 ]	Validation
25,804	28	Title: Integrated Communication and Control Systems: A Data Significance Perspective Abstract: The interconnected smart devices and industrial internet of things devices require low-latency communication to fulfill control objectives despite limited resources. In essence, such devices have a time-critical nature but al...	[]	Test
25,805	4	Title: From Social Engineering to Quantum Threats: Safeguarding User Wallets with FailSafe Abstract: While cryptocurrencies have been rapidly gaining adoption, secure wallet interactions are still elusive for many users, which frequently leads to loss of funds. Here we propose an approach to securing interactions with ...	[]	Test
25,806	24	Title: Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity Abstract: Graph neural networks (GNNs) have various practical applications, such as drug discovery, recommendation engines, and chip design. However, GNNs lack transparency as they cannot provide understandable explanations for th...	[]	Train
25,807	24	Title: BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables Abstract: We consider the problem of unfair discrimination between two groups and propose a pre-processing method to achieve fairness. Corrective methods like statistical parity usually lead to bad accuracy and do not really achieve fairness ...	[]	Train
25,808	24	Title: Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks Abstract: In this paper, we primarily focus on understanding the data preprocessing pipeline for DNN Training in the public cloud. First, we run experiments to test the performance implications of the two major data preproces...	[]	Train
25,809	31	Title: Slate-Aware Ranking for Recommendation Abstract: We see widespread adoption of slate recommender systems, where an ordered item list is fed to the user based on the user interests and items' content. For each recommendation, the user can select one or several items from the list for further interaction. In this ...	[ 13597, 35503 ]	Test
25,810	16	Title: Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning Abstract: This work explores various ways of exploring multi-task learning (MTL) techniques aimed at classifying videos as original or manipulated in cross-manipulation scenario to attend generalizability in deep fake sc...	[]	Train
25,811	16	Title: Lightweight, Uncertainty-Aware Conformalized Visual Odometry Abstract: Data-driven visual odometry (VO) is a critical subroutine for autonomous edge robotics, and recent progress in the field has produced highly accurate point predictions in complex environments. However, emerging autonomous edge robotics device...	[]	Train
25,812	16	Title: DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion Abstract: Class-conditional image generation using generative adversarial networks (GANs) has been investigated through various techniques; however, it continues to face challenges such as mode collapse, training instability, and low-quality output in c...	[]	Validation
25,813	30	Title: The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants Abstract: We present Belebele, a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. Significantly expanding the language coverage of natural language understanding (NLU) benchmarks, ...	[ 39291, 13700, 109, 23247 ]	Train
25,814	25	Title: An Analysis of Personalized Speech Recognition System Development for the Deaf and Hard-of-Hearing Abstract: Deaf or hard-of-hearing (DHH) speakers typically have atypical speech caused by deafness. With the growing support of speech-based devices and software applications, more work needs to be done to make the...	[]	Train
25,815	37	Title: LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves Abstract: The recently proposed learned indexes have attracted much attention as they can adapt to the actual data and query distributions to attain better search efficiency. Based on this technique, several existing works bu...	[]	Train
25,816	17	Title: MeshDiffusion: Score-based Generative 3D Mesh Modeling Abstract: We consider the task of generating realistic 3D shapes, which is useful for a variety of applications such as automatic scene generation and physical simulation. Compared to other 3D representations like voxels and point clouds, meshes are more des...	[ 33766, 3912, 14634, 21324, 30991, 34000, 24433, 34167, 28827, 26941 ]	Train
25,817	3	Title: Truth Machines: Synthesizing Veracity in AI Language Models Abstract: As AI technologies are rolled out into healthcare, academia, human resources, law, and a multitude of other domains, they become de-facto arbiters of truth. But truth is highly contested, with many different definitions and approaches. This ar...	[ 15530, 21371, 341 ]	Validation
25,818	16	Title: Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization Abstract: In recent years, much progress has been made in LiDAR-based 3D object detection mainly due to advances in detector architecture designs and availability of large-scale LiDAR datasets. Existing 3D object detectors tend ...	[]	Validation
25,819	10	Title: Anthropomorphization of AI: Opportunities and Risks Abstract: Anthropomorphization is the tendency to attribute human-like traits to non-human entities. It is prevalent in many social contexts -- children anthropomorphize toys, adults do so with brands, and it is a literary device. It is also a versatile tool in...	[ 729 ]	Test
25,820	15	Title: Corona: System Implications of Emerging Nanophotonic Technology Abstract: We expect that many-core microprocessors will push performance per chip from the 10 gigaflop to the 10 teraflop range in the coming decade. To support this increased performance, memory and inter-core bandwidths will also have to scale by ...	[ 21046 ]	Test
25,821	24	Title: CrunchGPT: A chatGPT assisted framework for scientific machine learning Abstract: Scientific Machine Learning (SciML) has advanced recently across many different areas in computational science and engineering. The objective is to integrate data and physics seamlessly without the need of employing elaborate and c...	[ 32096, 33732, 37318, 43786, 41711, 44246, 16827, 19614 ]	Test
25,822	23	Title: Commands as AI Conversations Abstract: Developers and data scientists often struggle to write command-line inputs, even though graphical interfaces or tools like ChatGPT can assist. The solution?"ai-cli,"an open-source system inspired by GitHub Copilot that converts natural language prompts into executable comma...	[]	Train
25,823	7	Title: Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method for 3D Solute Transport in Fluid-Particle Systems with Complex Granular Morphologies Abstract: Solute transport in fluid-particle systems is a fundamental process in numerous scientific and engineering disciplines. The simulation of it necess...	[]	Test
25,824	27	Title: DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning Abstract: Quadrupedal robots resemble the physical ability of legged animals to walk through unstructured terrains. However, designing a controller for quadrupedal robots poses a significant challen...	[ 39830, 27727, 7535 ]	Train
25,825	24	Title: Shuffled Differentially Private Federated Learning for Time Series Data Analytics Abstract: Trustworthy federated learning aims to achieve optimal performance while ensuring clients’ privacy. Existing privacy-preserving federated learning approaches are mostly tailored for image data, lacking applications for ti...	[]	Train
25,826	30	Title: Improved Training of Mixture-of-Experts Language GANs Abstract: Despite the dramatic success in image generation, Generative Adversarial Networks (GANs) still face great challenges in synthesizing sequences of discrete elements, in particular human language. The difficulty in generator training arises from the l...	[]	Train
25,827	17	Title: A Generalized Ray Formulation For Wave-Optics Rendering Abstract: Under ray-optical light transport, the classical ray serves as a local and linear"point query"of light's behaviour. Such point queries are useful, and sophisticated path tracing and sampling techniques enable efficiently computing solutions to lig...	[]	Validation
25,828	28	Title: Communication-Sensing Region for Cell-Free Massive MIMO ISAC Systems Abstract: This paper investigates the system model and the transmit beamforming design for the Cell-Free massive multi-input multi-output (MIMO) integrated sensing and communication (ISAC) system. The impact of the uncertainty of the target loc...	[]	Validation
25,829	6	Title: Evaluating the Impact of Community Oversight for Managing Mobile Privacy and Security Abstract: Mobile privacy and security can be a collaborative process where individuals seek advice and help from their trusted communities. To support such collective privacy and security management, we developed a mobile app f...	[ 35606 ]	Train
25,830	30	Title: On Learning to Summarize with Large Language Models as References Abstract: Recent studies have found that summaries generated by large language models (LLMs) are favored by human annotators over the original reference summaries in commonly used summarization datasets. Therefore, we investigate a new learning pa...	[ 38208, 17153, 12741, 17061, 45608, 1802, 25772, 26833, 35545, 28151, 3289, 39642, 39451, 24479 ]	Train
25,831	5	Title: MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm Abstract: Consistent hashing is used in distributed systems and networking applications to spread data evenly and efficiently across a cluster of nodes. In this paper, we present MementoHash, a novel consistent hashing algorithm t...	[]	Train
25,832	27	Title: The Multi-trip Autonomous Mobile Robots Scheduling Problem with Time Windows in a Stochastic Environment at Smart Hospitals Abstract: Autonomous Mobile Robots (AMRs) play a crucial role in transportation and service tasks at hospitals, contributing to enhanced efficiency and meeting medical demands. This paper i...	[]	Train
25,833	24	Title: Uncovering mesa-optimization algorithms in Transformers Abstract: Transformers have become the dominant model in deep learning, but the reason for their superior performance is poorly understood. Here, we hypothesize that the strong performance of Transformers stems from an architectural bias towards mesa-optimi...	[ 1376, 29760, 40099, 41390, 8911, 26812, 2518, 34779, 23804, 33279 ]	Train
25,834	16	Title: Multi-Label Self-Supervised Learning with Scene Images Abstract: Self-supervised learning (SSL) methods targeting scene images have seen a rapid growth recently, and they mostly rely on either a dedicated dense matching mechanism or a costly unsupervised object discovery module. This paper shows that instead of ...	[]	Train
25,835	5	Title: APEIRON: composing smart TDAQ systems for high energy physics experiments Abstract: APEIRON is a framework encompassing the general architecture of a distributed heterogeneous processing platform and the corresponding software stack, from the low level device drivers up to the high level programming model. The f...	[]	Validation
25,836	23	Title: Model-Driven Engineering for Artificial Intelligence - A Systematic Literature Review Abstract: Objective: This study aims to investigate the existing body of knowledge in the field of Model-Driven Engineering MDE in support of AI (MDE4AI) to sharpen future research further and define the current state of the ar...	[]	Train
25,837	24	Title: Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions Abstract: Optimizing building configurations for an efficient use of energy is increasingly receiving attention by current research and several methods have been developed to address this task. Selecting a suitable ...	[ 4234 ]	Train
25,838	16	Title: Generalizable One-shot Neural Head Avatar Abstract: We present a method that reconstructs and animates a 3D head avatar from a single-view portrait image. Existing methods either involve time-consuming optimization for a specific person with multiple images, or they struggle to synthesize intricate appearance de...	[ 26625, 32391, 9711, 4304, 11579, 12084, 23638, 27575, 44345, 2427, 2751 ]	Train
25,839	16	Title: Review helps learn better: Temporal Supervised Knowledge Distillation Abstract: Reviewing plays an important role when learning knowledge. The knowledge acquisition at a certain time point may be strongly inspired with the help of previous experience. Thus the knowledge growing procedure should show strong relat...	[ 9477 ]	Test
25,840	23	Title: Perfect is the enemy of test oracle Abstract: Automation of test oracles is one of the most challenging facets of software testing, but remains comparatively less addressed compared to automated test input generation. Test oracles rely on a ground-truth that can distinguish between the correct and buggy behavior...	[ 36895, 9471 ]	Train
25,841	16	Title: YOLOrtho - A Unified Framework for Teeth Enumeration and Dental Disease Detection Abstract: Detecting dental diseases through panoramic X-rays images is a standard procedure for dentists. Normally, a dentist need to identify diseases and find the infected teeth. While numerous machine learning models adopting th...	[ 25410 ]	Train
25,842	2	Title: Reverse Engineering of Temporal Queries Mediated by LTL Ontologies Abstract: In reverse engineering of database queries, we aim to construct a query from a given set of answers and non-answers; it can then be used to explore the data further or as an explanation of the answers and non-answers. We investigate thi...	[ 31092 ]	Test
25,843	30	Title: Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers Abstract: Pre-trained Transformer models such as BERT have shown great success in a wide range of applications, but at the cost of substantial increases in model complexity. Quantization-aware training...	[ 10021 ]	Train
25,844	24	Title: Information Flow Control in Machine Learning through Modular Model Architecture Abstract: In today's machine learning (ML) models, any part of the training data can affect its output. This lack of control for information flow from training data to model output is a major obstacle in training models on sensitive ...	[]	Train
25,845	10	Title: Regularised neural networks mimic human insight Abstract: Humans sometimes show sudden improvements in task performance that have been linked to moments of insight. Such insight-related performance improvements appear special because they are preceded by an extended period of impasse, are unusually abrupt, and o...	[]	Test
25,846	24	Title: Likelihood Annealing: Fast Calibrated Uncertainty for Regression Abstract: Recent advances in deep learning have shown that uncertainty estimation is becoming increasingly important in applications such as medical imaging, natural language processing, and autonomous systems. However, accurately quantifying uncer...	[]	Train
25,847	30	Title: Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks Abstract: Language models (LMs) proficiency in handling deterministic symbolic reasoning and rule-based tasks remains limited due to their dependency implicit learning on textual data. To enable fully rule comprehension abili...	[ 7936, 13510, 11633, 42165, 634 ]	Train
25,848	3	Title: Ghost Booking as a New Philanthropy Channel: A Case Study on Ukraine-Russia Conflict Abstract: The term ghost booking has recently emerged as a new way to conduct humanitarian acts during the conflict between Russia and Ukraine in 2022. The phenomenon describes the events where netizens donate to Ukrainian citiz...	[]	Validation
25,849	24	Title: Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Abstract: In this paper we explore few-shot imitation learning for control problems, which involves learning to imitate a target policy by accessing a limited set of offline rollouts. This setting has been relatively under-expl...	[]	Train
25,850	30	Title: Improving Metrics for Speech Translation Abstract: We introduce Parallel Paraphrasing ($\text{Para}_\text{both}$), an augmentation method for translation metrics making use of automatic paraphrasing of both the reference and hypothesis. This method counteracts the typically misleading results of speech translati...	[]	Test
25,851	24	Title: HOPE: High-order Polynomial Expansion of Black-box Neural Networks Abstract: Despite their remarkable performance, deep neural networks remain mostly ``black boxes'', suggesting inexplicability and hindering their wide applications in fields requiring making rational decisions. Here we introduce HOPE (High-order...	[ 1162 ]	Train
25,852	24	Title: Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations Abstract: In real-world reinforcement learning (RL) systems, various forms of impaired observability can complicate matters. These situations arise when an agent is unable to observe the most recent state of the...	[ 1386, 37189 ]	Test
25,853	30	Title: Large Language Model as a User Simulator Abstract: The unparalleled performance of closed-sourced ChatGPT has sparked efforts towards its democratization, with notable strides made by leveraging real user and ChatGPT conversations, as evidenced by Vicuna. However, while current endeavors like Baize and UltraChat...	[ 14592, 13700, 42756, 13510, 21739, 5815, 43641, 9403 ]	Train
25,854	27	Title: Object level footprint uncertainty quantification in infrastructure based sensing Abstract: We examine the problem of estimating footprint uncertainty of objects imaged using the infrastructure based camera sensing. A closed form relationship is established between the ground coordinates and the sources of the c...	[]	Train
25,855	24	Title: Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification Abstract: We consider adaptive decision-making problems where an agent optimizes a cumulative performance objective by repeatedly choosing among a finite set of options. ...	[]	Train
25,856	24	Title: Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare Abstract: Bias in applications of machine learning (ML) to healthcare is usually attributed to unrepresentative or incomplete data, or to underlying health disparities. This article identifies a more pervasive source of ...	[]	Validation
25,857	20	Title: Optimal Volume-Sensitive Bounds for Polytope Approximation Abstract: Approximating convex bodies is a fundamental question in geometry and has a wide variety of applications. Consider a convex body $K$ of diameter $\Delta$ in $\textbf{R}^d$ for fixed $d$. The objective is to minimize the number of vertices (alte...	[ 17387, 21437 ]	Train
25,858	16	Title: Supervised Virtual-to-Real Domain Adaptation for Object Detection Task using YOLO Abstract: Deep neural network shows excellent use in a lot of real-world tasks. One of the deep learning tasks is object detection. Well-annotated datasets will affect deep neural network accuracy. More data learned by deep neural ...	[]	Train
25,859	4	Title: Blockchain Technology for Preventing Counterfeit in Health Insurance Abstract: The huge volume of data and requests for health insurance led to an increased fraud (counterfeit) in the sector either from stakeholders or users. Therefore, the weakness of traditional systems and lack of transparency in obtaining he...	[ 37292 ]	Train
25,860	24	Title: Simulated Annealing in Early Layers Leads to Better Generalization Abstract: Recently, a number of iterative learning methods have been introduced to improve generalization. These typically rely on training for longer periods of time in exchange for improved generalization. LLF (later-layer-forgetting) is a stat...	[]	Validation
25,861	24	Title: A DPLL(T) Framework for Verifying Deep Neural Networks Abstract: Deep Neural Networks (DNNs) have emerged as an effective approach to tackling real-world problems. However, like human-written software, automatically-generated DNNs can have bugs and be attacked. This thus attracts many recent interests in develop...	[]	Test
25,862	6	Title: Beyond Hiding and Revealing: Exploring Effects of Visibility and Form of Interaction on the Witness Experience Abstract: Our interactions with technology do not just shape our individual experiences. They also affect people around us. Although previous research has addressed such "witness" experiences, the actua...	[]	Train
25,863	16	Title: Fitness-for-Duty Classification using Temporal Sequences of Iris Periocular images Abstract: Fitness for Duty (FFD) techniques detects whether a subject is Fit to perform their work safely, which means no reduced alertness condition and security, or if they are Unfit, which means alertness condition reduced by s...	[]	Train
25,864	24	Title: Rethinking Client Drift in Federated Learning: A Logit Perspective Abstract: Federated Learning (FL) enables multiple clients to collaboratively learn in a distributed way, allowing for privacy protection. However, the real-world non-IID data will lead to client drift which degrades the performance of FL. Intere...	[ 32353, 25387 ]	Train
25,865	13	Title: Functional Specification of the RAVENS Neuroprocessor Abstract: RAVENS is a neuroprocessor that has been developed by the TENNLab research group at the University of Tennessee. Its main focus has been as a vehicle for chip design with memristive elements; however it has also been the vehicle for all-digital CMOS...	[]	Train
25,866	27	Title: A Lie Group-Based Race Car Model for Systematic Trajectory Optimization on 3D Tracks Abstract: In this paper we derive the dynamic equations of a race-car model via Lie-group methods. Lie-group methods are nowadays quite familiar to computational dynamicists and roboticists, but their diffusion within the vehicl...	[]	Train
25,867	16	Title: Enhancing Classification with Hierarchical Scalable Query on Fusion Transformer Abstract: Real-world vision based applications require fine-grained classification for various applications of interest like e-commerce, mobile applications, warehouse management, etc. where reducing the severity of mistakes and impr...	[]	Test
25,868	30	Title: Neural Natural Language Processing for Long Texts: A Survey of the State-of-the-Art Abstract: The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural Language Processing (NLP) during the past decade. However, the demands of long document analysis are quite different from those of shorter texts,...	[]	Train
25,869	28	Title: Transaction Confirmation in Coded Blockchain Abstract: As blockchains continue to seek to scale to a larger number of nodes, the communication complexity of protocols has become a significant priority as the network can quickly become overburdened. Several schemes have attempted to address this, one of which use...	[]	Train
25,870	6	Title: Enriching Verbal Feedback from Usability Testing: Automatic Linking of Thinking-Aloud Recordings and Stimulus using Eye Tracking and Mouse Data Abstract: The think aloud method is an important and commonly used tool for usability optimization. However, analyzing think aloud data could be time consuming. In this ...	[]	Train
25,871	24	Title: Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks Abstract: The modern pervasiveness of large-scale deep neural networks (NNs) is driven by their extraordinary performance on complex problems but is also plagued by their sudden, unexpected, and often catastrophic failures, particularly on c...	[]	Test
25,872	5	Title: A Practical Overview of Quantum Computing: Is Exascale Possible? Abstract: Despite numerous advances in the field and a seemingly ever-increasing amount of investment, we are still some years away from seeing a production quantum computer in action. However, it is possible to make some educated guesses about the...	[]	Train
25,873	9	Title: Solving Unique Games over Globally Hypercontractive Graphs Abstract: We study the complexity of affine Unique-Games (UG) over globally hypercontractive graphs, which are graphs that are not small set expanders but admit a useful and succinct characterization of all small sets that violate the small-set expansion...	[]	Validation
25,874	16	Title: GIST: Generating Image-Specific Text for Fine-grained Object Classification Abstract: Recent vision-language models outperform vision-only models on many image classification tasks. However, because of the absence of paired text/image descriptions, it remains difficult to fine-tune these models for fine-grained ...	[ 33220, 13700, 37200, 42679, 37178, 44988 ]	Train
25,875	37	Title: Skyline Operators for Document Spanners Abstract: When extracting a relation of spans (intervals) from a text document, a common practice is to filter out tuples of the relation that are deemed dominated by others. The domination rule is defined as a partial order that varies along different systems and tasks. F...	[]	Train
25,876	24	Title: Hardware Acceleration of Explainable Artificial Intelligence Abstract: Machine learning (ML) is successful in achieving human-level artificial intelligence in various fields. However, it lacks the ability to explain an outcome due to its black-box nature. While recent efforts on explainable AI (XAI) has received...	[]	Train
25,877	30	Title: Evaluating Language Models for Knowledge Base Completion Abstract: Structured knowledge bases (KBs) are a foundation of many intelligent applications, yet are notoriously incomplete. Language models (LMs) have recently been proposed for unsupervised knowledge base completion (KBC), yet, despite encouraging initi...	[ 27801, 40373, 9775 ]	Train

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