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
34,078	38	Title: The state of scientific PDF accessibility in repositories: A survey in Switzerland Abstract: This survey analyzes the quality of the portable document format (PDF) documents in online repositories in Switzerland, examining their accessibility for people with visual impairments. Two minimal accessibility features...	[]	Train
34,079	24	Title: Identification of Driving Heterogeneity using Action-chains Abstract: Current approaches to identifying driving heterogeneity face challenges in capturing the diversity of driving characteristics and understanding the fundamental patterns from a driving behaviour mechanism standpoint. This study introduces a com...	[]	Train
34,080	16	Title: Global and Local Visual Processing: Influence of Perceptual Field Variables Abstract: The Global Precedence Effect (GPE) suggests that the processing of global properties of a visual stimulus precedes the processing of local properties. The generality of this theory was argued for four decades during different k...	[]	Validation
34,081	14	Title: Computer-assisted proofs of "Kariya's theorem" with computer algebra Abstract: We demonstrate computer-assisted proofs of"Kariya's theorem,"a theorem in elementary geometry, with computer algebra. In the proof of geometry theorem with computer algebra, vertices of geometric figures that are subjects for the proo...	[]	Train
34,082	9	Title: The Randomness Deficiency Function and the Shift Operator Abstract: Almost surely, the difference between the randomness deficiencies of two infinite sequences will be unbounded with respect to repeated iterations of the shift operator.	[]	Train
34,083	28	Title: Dual-Propagation-Feature Fusion Enhanced Neural CSI Compression for Massive MIMO Abstract: Due to the ability of feature extraction, deep learning (DL)-based methods have been recently applied to channel state information (CSI) compression feedback in massive multiple-input multiple-output (MIMO) systems. Existi...	[]	Train
34,084	2	Title: Parameterized Broadcast Networks with Registers: from NP to the Frontiers of Decidability Abstract: We consider the parameterized verification of arbitrarily large networks of agents which communicate by broadcasting and receiving messages. In our model, the broadcast topology is reconfigurable so that a sent me...	[]	Train
34,085	30	Title: Real-word error correction with trigrams: correcting multiple errors in a sentence Abstract: nan	[ 41770 ]	Validation
34,086	2	Title: Canonicity of Proofs in Constructive Modal Logic Abstract: In this paper we investigate the Curry-Howard correspondence for constructive modal logic in light of the gap between the proof equivalences enforced by the lambda calculi from the literature and by the recently defined winning strategies for this logic....	[]	Validation
34,087	7	Title: Towards Efficient Alternating Current Optimal Power Flow Analysis on Graphical Processing Units Abstract: We present a solution of sparse alternating current optimal power flow (ACOPF) analysis on graphical processing unit (GPU). In particular, we discuss the performance bottlenecks and detail our efforts to acc...	[]	Validation
34,088	16	Title: Generating Evidential BEV Maps in Continuous Driving Space Abstract: Safety is critical for autonomous driving, and one aspect of improving safety is to accurately capture the uncertainties of the perception system, especially knowing the unknown. Different from only providing deterministic or probabilistic resu...	[ 22585, 43001 ]	Test
34,089	16	Title: ColNav: Real-Time Colon Navigation for Colonoscopy Abstract: Colorectal cancer screening through colonoscopy continues to be the dominant global standard, as it allows identifying pre-cancerous or adenomatous lesions and provides the ability to remove them during the procedure itself. Nevertheless, failure by th...	[]	Train
34,090	8	Title: D2D-Assisted Mobile Edge Computing: Optimal Scheduling under Uncertain Processing Cycles and Intermittent Communications Abstract: Mobile edge computing (MEC) has been regarded as a promising approach to deal with explosive computation requirements by enabling cloud computing capabilities at the edge of networks...	[]	Train
34,091	24	Title: KD-FixMatch: Knowledge Distillation Siamese Neural Networks Abstract: Semi-supervised learning (SSL) has become a crucial approach in deep learning as a way to address the challenge of limited labeled data. The success of deep neural networks heavily relies on the availability of large-scale high-quality labeled...	[]	Test
34,092	24	Title: Raising the Bar for Certified Adversarial Robustness with Diffusion Models Abstract: Certified defenses against adversarial attacks offer formal guarantees on the robustness of a model, making them more reliable than empirical methods such as adversarial training, whose effectiveness is often later reduced by un...	[ 24772, 8308, 33414 ]	Train
34,093	25	Title: Self-Supervised Learning for Infant Cry Analysis Abstract: In this paper, we explore self-supervised learning (SSL) for analyzing a first-of-its-kind database of cry recordings containing clinical indications of more than a thousand newborns. Specifically, we target cry-based detection of neurological injury as ...	[ 14843 ]	Test
34,094	16	Title: LogoNet: a fine-grained network for instance-level logo sketch retrieval Abstract: Sketch-based image retrieval, which aims to use sketches as queries to retrieve images containing the same query instance, receives increasing attention in recent years. Although dramatic progress has been made in sketch retrieval...	[]	Validation
34,095	10	Title: Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring Abstract: We study Markov decision processes (MDPs), where agents control when and how they gather information, as formalized by action-contingent noiselessly observable MDPs (ACNO-MPDs). In these models, actions...	[ 13979 ]	Train
34,096	16	Title: Deteksi Sampah di Permukaan dan Dalam Perairan pada Objek Video dengan Metode Robust and Efficient Post-Processing dan Tubelet-Level Bounding Box Linking Abstract: Indonesia, as a maritime country, has a significant portion of its territory covered by water. Ineffective waste management has resulted in a conside...	[]	Train
34,097	24	Title: Generalization on the Unseen, Logic Reasoning and Degree Curriculum Abstract: This paper considers the learning of logical (Boolean) functions with focus on the generalization on the unseen (GOTU) setting, a strong case of out-of-distribution generalization. This is motivated by the fact that the rich combinator...	[ 41225, 4575 ]	Train
34,098	16	Title: Sparse4D v2: Recurrent Temporal Fusion with Sparse Model Abstract: Sparse algorithms offer great flexibility for multi-view temporal perception tasks. In this paper, we present an enhanced version of Sparse4D, in which we improve the temporal fusion module by implementing a recursive form of multi-frame feature ...	[ 15489, 32611, 41765, 21381, 17484 ]	Test
34,099	30	Title: BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer Abstract: Despite remarkable advancements in few-shot generalization in natural language processing, most models are developed and evaluated primarily in English. To facilitate research on few-shot cross-lingual transfer, we introduce...	[ 1572, 19083, 2764, 25900, 13495, 35580, 15358 ]	Test
34,100	24	Title: Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX Abstract: Open-source reinforcement learning (RL) environments have played a crucial role in driving progress in the development of AI algorithms. In modern RL research, there is a need for simulated environments that are performant,...	[ 46073 ]	Train
34,101	24	Title: Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks Abstract: Low probability of detection (LPD) has recently emerged as a means to enhance the privacy and security of wireless networks. Unlike existing wireless security techniques, LPD measures aim to conceal the entire existen...	[]	Train
34,102	3	Title: Targeted and Troublesome: Tracking and Advertising on Children's Websites Abstract: On the modern web, trackers and advertisers frequently construct and monetize users' detailed behavioral profiles without consent. Despite various studies on web tracking mechanisms and advertisements, there has been no rigorous ...	[ 38538 ]	Validation
34,103	30	Title: FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models Abstract: Detecting stereotypes and biases in Large Language Models (LLMs) can enhance fairness and reduce adverse impacts on individuals or groups when these LLMs are applied. However, the majority of exist...	[ 38208, 35528, 20598, 19671, 39451, 39642, 9403, 604, 39295 ]	Test
34,104	26	Title: Using Semantic Similarity and Text Embedding to Measure the Social Media Echo of Strategic Communications Abstract: Online discourse covers a wide range of topics and many actors tailor their content to impact online discussions through carefully crafted messages and targeted campaigns. Yet the scale and diversi...	[]	Train
34,105	10	Title: Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach Abstract: Large language models (LLMs) encode a vast amount of world knowledge acquired from massive text datasets. Recent studies have demonstrated that LLMs can assist an embodied agent in solving complex sequentia...	[ 28640, 40192, 13700, 33477, 30055, 8232, 33417, 7470, 37742 ]	Validation
34,106	29	Title: How does solid‐state drives cluster perform for distributed file systems: An empirical study Abstract: As the capacity of Solid‐State Drives (SSDs) is constantly being optimised and boosted with gradually reduced cost, the SSD cluster is now widely deployed as part of the hybrid storage system in various scenari...	[ 36279 ]	Train
34,107	24	Title: TMI! Finetuned Models Leak Private Information from their Pretraining Data Abstract: Transfer learning has become an increasingly popular technique in machine learning as a way to leverage a pretrained model trained for one task to assist with building a finetuned model for a related task. This paradigm has been...	[ 45104, 45196, 14702 ]	Train
34,108	30	Title: InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT Abstract: While large models such as GPT-3 demonstrate exceptional performance in zeroshot and fewshot summarization tasks, their extensive serving and fine-tuning costs hinder their utilization in various applications. Conversely, p...	[ 13345, 13700 ]	Validation
34,109	16	Title: Design of Arabic Sign Language Recognition Model Abstract: ....................................................................................................................................... i LIST OF FIGURES .......................................................................................................	[]	Train
34,110	30	Title: Likelihood-Based Diffusion Language Models Abstract: Despite a growing interest in diffusion-based language models, existing work has not shown that these models can attain nontrivial likelihoods on standard language modeling benchmarks. In this work, we take the first steps towards closing the likelihood gap be...	[ 23120, 23242, 14514, 8939 ]	Train
34,111	24	Title: Towards Microstructural State Variables in Materials Systems Abstract: ,	[]	Train
34,112	31	Title: A Network Resource Allocation Recommendation Method with An Improved Similarity Measure Abstract: Recommender systems have been acknowledged as efficacious tools for managing information overload. Nevertheless, conventional algorithms adopted in such systems primarily emphasize precise recommendations and, conse...	[]	Train
34,113	24	Title: Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning Abstract: As the use of Artificial Intelligence (AI) components in cyber-physical systems is becoming more common, the need for reliable system architectures arises. While data-...	[]	Train
34,114	24	Title: Multi-Task Learning for Budbreak Prediction Abstract: Grapevine budbreak is a key phenological stage of seasonal development, which serves as a signal for the onset of active growth. This is also when grape plants are most vulnerable to damage from freezing temperatures. Hence, it is important for winegrowers to...	[]	Validation
34,115	30	Title: HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy Analysis Abstract: This paper describes our participation in SemEval-2023 Task 9, Intimacy Analysis of Multilingual Tweets. We fine-tune some of the most popular transformer models with the trainin...	[]	Train
34,116	37	Title: Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples Abstract: Relational tables, where each row corresponds to an entity and each column corresponds to an attribute, have been the standard for tables in relational databases. However, such a standard cannot be taken...	[ 22216, 11961 ]	Train
34,117	28	Title: Lower Rate Bounds for Hermitian-Lifted Codes for Odd Prime Characteristic Abstract: Locally recoverable codes are error correcting codes with the additional property that every symbol of any codeword can be recovered from a small set of other symbols. This property is particularly desirable in cloud storage appl...	[ 4596, 6591 ]	Train
34,118	24	Title: A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning Abstract: We provide a unifying framework for the design and analysis of multicalibrated predictors. By placing the multicalibration problem in the general setting of multi-objective learning -- where learning guarantees must...	[]	Train
34,119	6	Title: True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study Abstract: Misinformation is an important topic in the Information Retrieval (IR) context and has implications for both system-centered and user-centered IR. While it has been established that the performance in discerning m...	[ 24629 ]	Validation
34,120	36	Title: The Frontier of Intractability for EFX with Two Agents Abstract: We consider the problem of sharing a set of indivisible goods among agents in a fair manner, namely such that the allocation is envy-free up to any good (EFX). We focus on the problem of computing an EFX allocation in the two-agent case and charact...	[ 6226, 5219, 7348 ]	Validation
34,121	10	Title: AI Art Curation: Re-imagining the city of Helsinki in occasion of its Biennial Abstract: Art curatorial practice is characterized by the presentation of an art collection in a knowledgeable way. Machine processes are characterized by their capacity to manage and analyze large amounts of data. This paper envisage...	[ 34074, 36635 ]	Train
34,122	16	Title: Robust Self-Supervised Extrinsic Self-Calibration Abstract: Autonomous vehicles and robots need to operate over a wide variety of scenarios in order to complete tasks efficiently and safely. Multi-camera self-supervised monocular depth estimation from videos is a promising way to reason about the environment, as...	[ 2497 ]	Test
34,123	16	Title: Deep Seam Prediction for Image Stitching Based on Selection Consistency Loss Abstract: Image stitching is to construct panoramic images with wider field of vision (FOV) from some images captured from different viewing positions. To solve the problem of fusion ghosting in the stitched image, seam-driven methods a...	[]	Train
34,124	16	Title: SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery Abstract: This paper introduces the ``SurgT: Surgical Tracking"challenge which was organised in conjunction with MICCAI 2022. There were two purposes for the creation of this challenge: (1) the establishment of the first standardised benchmar...	[]	Train
34,125	23	Title: A Rapid Prototyping Language Workbench for Textual DSLs based on Xtext: Vision and Progress Abstract: Metamodel-based DSL development in language workbenches like Xtext allows language engineers to focus more on metamodels and domain concepts rather than grammar details. However, the grammar generated from metam...	[]	Validation
34,126	24	Title: Unsupervised Representation Learning in Partially Observable Atari Games Abstract: State representation learning aims to capture latent factors of an environment. Contrastive methods have performed better than generative models in previous state representation learning research. Although some researchers realize...	[]	Train
34,127	6	Title: Understanding and Measuring the Effects of Graphical Dimensions on Viewers' Perceived Chart Credibility Abstract: Journalists and visualization designers include visualizations in their articles and storytelling tools to deliver their message effectively. But design decisions they make to represent information, ...	[]	Train
34,128	31	Title: Personalized Graph Signal Processing for Collaborative Filtering Abstract: The collaborative filtering (CF) problem with only user-item interaction information can be solved by graph signal processing (GSP), which uses low-pass filters to smooth the observed interaction signals on the similarity graph to obtain ...	[ 37876, 23607 ]	Test
34,129	27	Title: NeuroSwarm: Multi-Agent Neural 3D Scene Reconstruction and Segmentation with UAV for Optimal Navigation of Quadruped Robot Abstract: Quadruped robots have the distinct ability to adapt their body and step height to navigate through cluttered environments. Nonetheless, for these robots to utilize their full poten...	[]	Validation
34,130	16	Title: Detection of Pavement Cracks by Deep Learning Models of Transformer and UNet Abstract: Fracture is one of the main failure modes of engineering structures such as buildings and roads. Effective detection of surface cracks is significant for damage evaluation and structure maintenance. In recent years, the emerge...	[]	Train
34,131	16	Title: Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Abstract: Deep networks have achieved impressive results on a range of well-curated benchmark datasets. Surprisingly, their performance remains sensitive to perturbations that have little effect on human performance. In this work, we...	[ 16339 ]	Train
34,132	23	Title: RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring Abstract: Refactoring is an indispensable practice of improving the quality and maintainability of source code in software evolution. Rename refactoring is the most frequently performed refactoring that suggests a new name for an identif...	[ 40886 ]	Train
34,133	31	Title: Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation Abstract: Eliminating examination bias accurately is pivotal to apply click-through data to train an unbiased ranking model. However, most examination-bias estimators are limited to the hypothesis of Position-Based Model (PBM), which ...	[]	Validation
34,134	10	Title: A State Augmentation based approach to Reinforcement Learning from Human Preferences Abstract: Reinforcement Learning has suffered from poor reward specification, and issues for reward hacking even in simple enough domains. Preference Based Reinforcement Learning attempts to solve the issue by utilizing binary f...	[ 7051 ]	Test
34,135	10	Title: Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets Abstract: Despite incredible advances, deep learning has been shown to be susceptible to adversarial attacks. Numerous approaches have been proposed to train robust networks both empirically and certifiably. H...	[]	Test
34,136	24	Title: An explainable model to support the decision about the therapy protocol for AML Abstract: Acute Myeloid Leukemia (AML) is one of the most aggressive types of hematological neoplasm. To support the specialists' decision about the appropriate therapy, patients with AML receive a prognostic of outcomes according to...	[]	Validation
34,137	26	Title: A performance characteristic curve for model evaluation: the application in information diffusion prediction Abstract: The information diffusion prediction on social networks aims to predict future recipients of a message, with practical applications in marketing and social media. While different prediction mode...	[ 40936 ]	Train
34,138	16	Title: ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography Abstract: Aortic stenosis (AS) is a common heart valve disease that requires accurate and timely diagnosis for appropriate treatment. Most current automatic AS severity detection m...	[ 14271 ]	Train
34,139	6	Title: Explaining the Arts: Toward a Framework for Matching Creative Tasks with Appropriate Explanation Mediums Abstract: Although explainable computational creativity seeks to create and sustain computational models of creativity that foster a collaboratively creative process through explainability, there remains litt...	[ 14671 ]	Train
34,140	30	Title: GreekBART: The First Pretrained Greek Sequence-to-Sequence Model Abstract: The era of transfer learning has revolutionized the fields of Computer Vision and Natural Language Processing, bringing powerful pretrained models with exceptional performance across a variety of tasks. Specifically, Natural Language Proc...	[ 43689, 21574 ]	Test
34,141	16	Title: Zero-shot spatial layout conditioning for text-to-image diffusion models Abstract: Large-scale text-to-image diffusion models have significantly improved the state of the art in generative image modelling and allow for an intuitive and powerful user interface to drive the image generation process. Expressing spa...	[ 16103, 41146, 3690, 26410, 15983, 20949, 34074, 43867, 28382 ]	Train
34,142	31	Title: Ripple Knowledge Graph Convolutional Networks For Recommendation Systems Abstract: Using knowledge graphs to assist deep learning models in making recommendation decisions has recently been proven to effectively improve the model's interpretability and accuracy. This paper introduces an end-to-end deep learning ...	[]	Test
34,143	6	Title: Dis/Immersion in Mindfulness Meditation with a Wandering Voice Assistant Abstract: Mindfulness meditation is a validated means of helping people manage stress. Voice-based virtual assistants (VAs) in smart speakers, smartphones, and smart environments can assist people in carrying out mindfulness meditation thro...	[]	Train
34,144	24	Title: K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation Abstract: The label-free model evaluation aims to predict the model performance on various test sets without relying on ground truths. The main challenge of this task is the absence of labels in the test data, unlike in classi...	[ 24366 ]	Validation
34,145	16	Title: Devil's on the Edges: Selective Quad Attention for Scene Graph Generation Abstract: Scene graph generation aims to construct a semantic graph structure from an image such that its nodes and edges respectively represent objects and their relationships. One of the major challenges for the task lies in the presence...	[ 43042, 37099 ]	Train
34,146	24	Title: Graph Neural Bandits Abstract: Contextual bandits algorithms aim to choose the optimal arm with the highest reward out of a set of candidates based on the contextual information. Various bandit algorithms have been applied to real-world applications due to their ability of tackling the exploitation-exploration d...	[]	Train
34,147	27	Title: What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Abstract: Training control policies in simulation is more appealing than on real robots directly, as it allows for exploring diverse states in a safe and efficient manner. Yet, robot simulators inevitably exhibit disparities from th...	[ 4034 ]	Validation
34,148	23	Title: Formal Verification Of A Shopping Basket Application Model Using PRISM Abstract: Formal verification is at the heart of model validation and correctness. With model checking, invaluable realizations have been accomplished in software engineering and particularly in software development. By means of this approach...	[]	Validation
34,149	10	Title: Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points Abstract: We propose a hybrid Artificial Intelligence (AI) climate modeling approach that enables climate modelers in scientific discovery using a climate-targeted simulation methodology based on a novel combination of deep neura...	[ 17857, 42871 ]	Test
34,150	3	Title: Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods Abstract: The United States Census Bureau faces a difficult trade-off between the accuracy of Census statistics and the protection of individual information. We conduct the first independent evaluation of bias and noise indu...	[ 31285, 35879 ]	Train
34,151	16	Title: Multi-modal reward for visual relationships-based image captioning Abstract: Deep neural networks have achieved promising results in automatic image captioning due to their effective representation learning and context-based content generation capabilities. As a prominent type of deep features used in many of th...	[]	Validation
34,152	24	Title: Improving Position Encoding of Transformers for Multivariate Time Series Classification Abstract: Transformers have demonstrated outstanding performance in many applications of deep learning. When applied to time series data, transformers require effective position encoding to capture the ordering of the time se...	[ 42353, 27133 ]	Train
34,153	8	Title: Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning Abstract: Deep reinforcement learning (DRL) has been in-creasingly employed to handle the dynamic and complex re-source management in network slicing. The deployment of DRL policies in real networks, however, is complicated by he...	[]	Train
34,154	31	Title: Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval Abstract: Dense retrieval has made significant advancements in information retrieval (IR) by achieving high levels of effectiveness while maintaining online efficiency during a single-pass retrieval process. However, the ap...	[]	Train
34,155	24	Title: Ensemble Learning Model on Artificial Neural Network-Backpropagation (ANN-BP) Architecture for Coal Pillar Stability Classification Abstract: Pillars are important structural units used to ensure mining safety in underground hard rock mines. Therefore, precise predictions regarding the stability of underground p...	[]	Train
34,156	34	Title: Cut-matching Games for Generalized Hypergraph Ratio Cuts Abstract: Many social networks and web-based datasets are characterized by multiway interactions (e.g., groups of co-purchased online retail products or group conversations in Q&A forums) and hypergraph clustering is a fundamental primitive for analyzing t...	[]	Train
34,157	17	Title: Flexible Isosurface Extraction for Gradient-Based Mesh Optimization Abstract: This work considers gradient-based mesh optimization, where we iteratively optimize for a 3D surface mesh by representing it as the isosurface of a scalar field, an increasingly common paradigm in applications including photogrammetry,...	[ 31586, 1687 ]	Train
34,158	16	Title: Search-time Efficient Device Constraints-Aware Neural Architecture Search Abstract: Edge computing aims to enable edge devices, such as IoT devices, to process data locally instead of relying on the cloud. However, deep learning techniques like computer vision and natural language processing can be computational...	[]	Validation
34,159	16	Title: Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks Abstract: Deep neural networks are known to be vulnerable to adversarial examples crafted by adding human-imperceptible perturbations to the benign input. After achieving nearly 100% attack success rates in white-box settin...	[ 19715 ]	Train
34,160	24	Title: Fast as CHITA: Neural Network Pruning with Combinatorial Optimization Abstract: The sheer size of modern neural networks makes model serving a serious computational challenge. A popular class of compression techniques overcomes this challenge by pruning or sparsifying the weights of pretrained networks. While us...	[]	Train
34,161	16	Title: E2E-LOAD: End-to-End Long-form Online Action Detection Abstract: Recently, there has been a growing trend toward feature-based approaches for Online Action Detection (OAD). However, these approaches have limitations due to their fixed backbone design, which ignores the potential capability of a trainable backbon...	[]	Train
34,162	24	Title: Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies Abstract: Despite the increasing relevance of explainable AI, assessing the quality of explanations remains a challenging issue. Due to the high costs associated with human-subject ...	[]	Test
34,163	5	Title: FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing Abstract: The number of Internet of Things (IoT) applications, especially latency-sensitive ones, have been significantly increased. So, Cloud computing, as one of the main enablers of the IoT that offers centralized services, cannot so...	[ 20234 ]	Train
34,164	24	Title: Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games Abstract: Stochastic games are a popular framework for studying multi-agent reinforcement learning (MARL). Recent advances in MARL have focused primarily on games with finitely many states. In this work, we study multi-agent l...	[]	Test
34,165	10	Title: Mastering Nordschleife - A comprehensive race simulation for AI strategy decision-making in motorsports Abstract: In the realm of circuit motorsports, race strategy plays a pivotal role in determining race outcomes. This strategy focuses on the timing of pit stops, which are necessary due to fuel consumption and...	[]	Train
34,166	34	Title: Chasing Positive Bodies Abstract: We study the problem of chasing positive bodies in $\ell_1$: given a sequence of bodies $K_{t}=\{x^{t}\in\mathbb{R}_{+}^{n}\mid C^{t}x^{t}\geq 1,P^{t}x^{t}\leq 1\}$ revealed online, where $C^{t}$ and $P^{t}$ are nonnegative matrices, the goal is to (approximately) maintain a poi...	[ 31858 ]	Test
34,167	16	Title: TEXTure: Text-Guided Texturing of 3D Shapes Abstract: In this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes. Leveraging a pretrained depth-to-image diffusion model, TEXTure applies an iterative scheme that paints a 3D model from different vi...	[ 27785, 25739, 44052, 21014, 14361, 42907, 26396, 12190, 32293, 680, 15785, 23593, 39340, 24622, 44593, 31282, 33845, 44726, 16697, 7994, 33338, 40256, 38465, 44100, 2769, 11473, 6739, 40790, 25816, 41560, 21212, 17378, 24802, 33766, 33261, 38395 ...	Train
34,168	30	Title: Performance Comparison of Pre-trained Models for Speech-to-Text in Turkish: Whisper-Small and Wav2Vec2-XLS-R-300M Abstract: In this study, the performances of the Whisper-Small and Wav2Vec2-XLS-R-300M models which are two pre-trained multilingual models for speech to text were examined for the Turkish language. ...	[]	Test
34,169	24	Title: Policy Gradient Algorithms Implicitly Optimize by Continuation Abstract: Direct policy optimization in reinforcement learning is usually solved with policy-gradient algorithms, which optimize policy parameters via stochastic gradient ascent. This paper provides a new theoretical interpretation and justification ...	[]	Test
34,170	24	Title: Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks Abstract: Falls are the public health issue for the elderly all over the world since the fall-induced injuries are associated with a large amount of healthcare cost. Falls can cause serious injuries, even leadin...	[]	Train
34,171	4	Title: Launching a Robust Backdoor Attack under Capability Constrained Scenarios Abstract: As deep neural networks continue to be used in critical domains, concerns over their security have emerged. Deep learning models are vulnerable to backdoor attacks due to the lack of transparency. A poisoned backdoor model may pe...	[]	Validation
34,172	30	Title: Parallel Data Helps Neural Entity Coreference Resolution Abstract: Coreference resolution is the task of finding expressions that refer to the same entity in a text. Coreference models are generally trained on monolingual annotated data but annotating coreference is expensive and challenging. Hardmeier et al.(20...	[]	Test
34,173	30	Title: Empowering Refugee Claimants and their Lawyers: Using Machine Learning to Examine Decision-Making in Refugee Law Abstract: Our project aims at helping and supporting stakeholders in refugee status adjudications, such as lawyers, judges, governing bodies, and claimants, in order to make better decisions through d...	[]	Test
34,174	4	Title: Flipping bits in memory without accessing them: An experimental study of DRAM disturbance errors Abstract: Memory isolation is a key property of a reliable and secure computing system-an access to one memory address should not have unintended side effects on data stored in other addresses. However, as DRAM proce...	[ 11396, 35076, 7312, 2581, 31512, 18073, 37418, 39357, 24639, 12482, 21186, 7108, 29644, 26957, 5339, 40044, 5360, 38771, 44281, 7035 ]	Test
34,175	24	Title: Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks Abstract: The accurate calculation and uncertainty quantification of the characteristics of spent nuclear fuel (SNF) play a crucial role in ensuring the safety, efficiency, and sustainability of nuclear energy production, waste management...	[]	Validation
34,176	16	Title: Detecting Morphing Attacks via Continual Incremental Training Abstract: Scenarios in which restrictions in data transfer and storage limit the possibility to compose a single dataset -- also exploiting different data sources -- to perform a batch-based training procedure, make the development of robust models pa...	[]	Test
34,177	30	Title: Data Augmentation for Neural Machine Translation using Generative Language Model Abstract: Despite the rapid growth in model architecture, the scarcity of large parallel corpora remains the main bottleneck in Neural Machine Translation. Data augmentation is a technique that enhances the performance of data-hungr...	[]	Test

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