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
29,378	26	Title: On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms Abstract: Graphs are a powerful mathematical model, and they are used to represent real-world structures in various fields. In many applications, real-world structures with high connectivity and robustness are prefera...	[]	Validation
29,379	24	Title: L-HYDRA: Multi-Head Physics-Informed Neural Networks Abstract: . We introduce multi-head neural networks (MH-NNs) to physics-informed machine learning, which is a type of neural networks (NNs) with all nonlinear hidden layers as the body and multiple linear output layers as multi-head. Hence, we construct multi-...	[ 35471, 41872, 40625, 32153, 7258 ]	Train
29,380	34	Title: Solving Knapsack with Small Items via L0-Proximity Abstract: We study pseudo-polynomial time algorithms for the fundamental \emph{0-1 Knapsack} problem. In terms of $n$ and $w_{\max}$, previous algorithms for 0-1 Knapsack have cubic time complexities: $O(n^2w_{\max})$ (Bellman 1957), $O(nw_{\max}^2)$ (Kellerer a...	[ 23005, 10441, 23227, 20197 ]	Train
29,381	30	Title: Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition Abstract: Children typically learn the meanings of nouns earlier than the meanings of verbs. However, it is unclear whether this asymmetry is a result of complexity in the visual structure of categories in the world...	[]	Train
29,382	34	Title: An Efficient Algorithm for All-Pairs Bounded Edge Connectivity Abstract: Our work concerns algorithms for an unweighted variant of Maximum Flow. In the All-Pairs Connectivity (APC) problem, we are given a graph $G$ on $n$ vertices and $m$ edges, and are tasked with computing the maximum number of edge-disjoint p...	[ 41117 ]	Test
29,383	23	Title: State-Of-The-Practice in Quality Assurance in Java-Based Open Source Software Development Abstract: To ensure the quality of software systems, software engineers can make use of a variety of quality assurance approaches, such as software testing, modern code review, automated static analysis, and build automatio...	[]	Validation
29,384	16	Title: Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition Abstract: While substantial progress has been made in the absolute performance of localization and Visual Place Recognition (VPR) techniques, it is becoming increasingly clear from translating these systems...	[]	Train
29,385	24	Title: Subequivariant Graph Reinforcement Learning in 3D Environments Abstract: Learning a shared policy that guides the locomotion of different agents is of core interest in Reinforcement Learning (RL), which leads to the study of morphology-agnostic RL. However, existing benchmarks are highly restrictive in the choic...	[ 12378 ]	Train
29,386	24	Title: Adversarial Attacks on the Interpretation of Neuron Activation Maximization Abstract: The internal functional behavior of trained Deep Neural Networks is notoriously difficult to interpret. Activation-maximization approaches are one set of techniques used to interpret and analyze trained deep-learning models. Th...	[ 38834, 17202 ]	Test
29,387	27	Title: Learned Risk Metric Maps for Kinodynamic Systems Abstract: We present Learned Risk Metric Maps (LRMM) for real-time estimation of coherent risk metrics of high-dimensional dynamical systems operating in unstructured, partially observed environments. LRMM models are simple to design and train-requiring only proce...	[]	Validation
29,388	4	Title: CNN based IoT Device Identification Abstract: While the use of the Internet of Things is becoming more and more popular, many security vulnerabilities are emerging with the large number of devices being introduced to the market. In this environment, IoT device identification methods provide a preventive security...	[]	Train
29,389	16	Title: StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing Abstract: A significant research effort is focused on exploiting the amazing capacities of pretrained diffusion models for the editing of images. They either finetune the model, or invert the image in the latent space of the pretrained model. Howe...	[ 37126, 25739, 21014, 34074, 6052, 42149, 37692, 18240, 30402, 35907, 10695, 20435, 12116, 10070, 1244, 6756, 33638, 16103, 20852, 17526, 3067 ]	Train
29,390	16	Title: eP-ALM: Efficient Perceptual Augmentation of Language Models Abstract: Large Language Models (LLMs) have so far impressed the world, with unprecedented capabilities that emerge in models at large scales. On the vision side, transformer models (i.e., ViT) are following the same trend, achieving the best performan...	[ 7936, 21892, 9927, 12142, 37070, 8084 ]	Train
29,391	24	Title: A Probabilistic Framework for Modular Continual Learning Abstract: Modular approaches, which use a different composition of modules for each problem and avoid forgetting by design, have been shown to be a promising direction in continual learning (CL). However, searching through the large, discrete space of poss...	[]	Train
29,392	28	Title: Learning to Code on Graphs for Topological Interference Management Abstract: The state-of-the-art coding schemes for topological interference management (TIM) problems are usually handcrafted for specific families of network topologies, relying critically on experts' domain knowledge. This inevitably restricts t...	[ 8009 ]	Train
29,393	30	Title: BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection Abstract: This paper introduces a novel method leveraging bi-encoder-based detectors along with a comprehensive study comparing different out-of-distribution (OOD) detection methods in NLP using different feature extractors. The feature extraction...	[ 21128 ]	Train
29,394	27	Title: Imitation Learning-based Visual Servoing for Tracking Moving Objects Abstract: In everyday life collaboration tasks between human operators and robots, the former necessitate simple ways for programming new skills, the latter have to show adaptive capabilities to cope with environmental changes. The joint use of...	[]	Validation
29,395	24	Title: When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations Abstract: In supervised learning, low quality annotations lead to poorly performing classification and detection models, while also rendering evaluation unreliable. This is particularly apparent on temporal data, where annotation q...	[]	Train
29,396	30	Title: PaLM 2 Technical Report Abstract: We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is a Transformer-based model trained using a mixture of objectives. Through extensive evaluations on...	[ 16389, 21509, 34826, 24077, 14865, 11799, 34329, 9772, 6190, 17968, 4658, 20531, 26165, 36406, 4663, 2103, 22073, 1595, 9280, 19010, 41029, 7239, 10830, 13905, 42577, 6743, 21594, 13413, 7270, 17517, 36462, 14959, 112, 30320, 10870, 122, 34953,...	Train
29,397	25	Title: Voice Morphing: Two Identities in One Voice Abstract: In a biometric system, each biometric sample or template is typically associated with a single identity. However, recent research has demonstrated the possibility of generating"morph"biometric samples that can successfully match more than a single identity. M...	[]	Train
29,398	16	Title: Scribble-Supervised Cell Segmentation Using Multiscale Contrastive Regularization Abstract: Current state-of-the-art supervised deep learning-based segmentation approaches have demonstrated superior performance in medical image segmentation tasks. However, such supervised approaches require fully annotated pixel...	[]	Train
29,399	4	Title: Building Resilient SMEs: Harnessing Large Language Models for Cyber Security in Australia Abstract: The escalating digitalisation of our lives and enterprises has led to a parallel growth in the complexity and frequency of cyber-attacks. Small and medium-sized enterprises (SMEs), particularly in Australia, are e...	[ 35388 ]	Train
29,400	37	Title: RiverBench: an Open RDF Streaming Benchmark Suite Abstract: RDF data streaming has been explored by the Semantic Web community from many angles, resulting in multiple task formulations and streaming methods. However, for many existing formulations of the problem, reliably benchmarking streaming solutions has bee...	[]	Train
29,401	30	Title: "According to ..." Prompting Language Models Improves Quoting from Pre-Training Data Abstract: Large Language Models (LLMs) may hallucinate and generate fake information, despite pre-training on factual data. Inspired by the journalistic device of"according to sources", we propose according-to prompting: directi...	[ 6721, 8673, 13700, 16156, 22286, 38102, 44063, 15004, 45631 ]	Train
29,402	30	Title: Building Interpretable and Reliable Open Information Retriever for New Domains Overnight Abstract: Information retrieval (IR) or knowledge retrieval, is a critical component for many down-stream tasks such as open-domain question answering (QA). It is also very challenging, as it requires succinctness, completen...	[]	Train
29,403	10	Title: Farspredict: A benchmark dataset for link prediction Abstract: Link prediction with knowledge graph embedding (KGE) is a popular method for knowledge graph completion. Furthermore, training KGEs on non-English knowledge graph promote knowledge extraction and knowledge graph reasoning in the context of these lang...	[ 17628 ]	Validation
29,404	8	Title: Analytical Investigation of Two Benchmark Resource Allocation Algorithms for LTE-V2V Abstract: Short-range wireless technologies will enable vehicles to communicate and coordinate their actions, thus improving people's safety and traffic efficiency. Whereas IEEE 802.11p (and related standards) had been the only ...	[]	Train
29,405	2	Title: Search and Explore: Symbiotic Policy Synthesis in POMDPs Abstract: This paper marries two state-of-the-art controller synthesis methods for partially observable Markov decision processes (POMDPs), a prominent model in sequential decision making under uncertainty. A central issue is to find a POMDP controller - t...	[ 24995 ]	Validation
29,406	25	Title: DC CoMix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer Abstract: Despite the huge successes made in neutral TTS, content-leakage remains a challenge. In this paper, we propose a new input representation and simple architecture to achieve improved prosody modeling. Inspired by the r...	[ 21778 ]	Test
29,407	4	Title: Poisoning Network Flow Classifiers Abstract: As machine learning (ML) classifiers increasingly oversee the automated monitoring of network traffic, studying their resilience against adversarial attacks becomes critical. This paper focuses on poisoning attacks, specifically backdoor attacks, against network traff...	[]	Train
29,408	16	Title: Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval Abstract: Deep hashing has been extensively applied to massive image retrieval due to its efficiency and effectiveness. Recently, several adversarial attacks have been presented to reveal the vulnerability of deep hashin...	[]	Train
29,409	24	Title: Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation Abstract: Gradients have been exploited in proposal distributions to accelerate the convergence of Markov chain Monte Carlo algorithms on discrete distributions. However, these methods require a natural differentiable exten...	[]	Test
29,410	16	Title: ICDAR 2023 Competition on Reading the Seal Title Abstract: Reading seal title text is a challenging task due to the variable shapes of seals, curved text, background noise, and overlapped text. However, this important element is commonly found in official and financial scenarios, and has not received the attenti...	[]	Train
29,411	23	Title: Formally Verifying a Real World Smart Contract Abstract: Nowadays, smart contracts have become increasingly popular and, as with software development in general, testing is the standard method for verifying their correctness. However, smart contracts require a higher level of certainty regarding correctness beca...	[]	Train
29,412	8	Title: A Comparative Study on Routing Selection Algorithms for Dynamic Planning of EONs over C+L Bands Abstract: The performance of three routing selection algorithms is compared in terms of bandwidth blocking probability, quality of transmission, and run time in EONs over the C+L band. The min-max frequency algorithm ...	[]	Validation
29,413	7	Title: HVOX: Scalable Interferometric Synthesis and Analysis of Spherical Sky Maps Abstract: Analysis and synthesis are key steps of the radio-interferometric imaging process, serving as a bridge between visibility and sky domains. They can be expressed as partial Fourier transforms involving a large number of non-unif...	[]	Validation
29,414	10	Title: Discovering Variable Binding Circuitry with Desiderata Abstract: Recent work has shown that computation in language models may be human-understandable, with successful efforts to localize and intervene on both single-unit features and input-output circuits. Here, we introduce an approach which extends causal med...	[ 39778, 13700, 29583, 4434, 22133 ]	Train
29,415	10	Title: Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving Abstract: In recent years there have been remarkable advancements in autonomous driving. While autonomous vehicles demonstrate high performance in closed-set conditions, they encounter difficulties when confronted with unexpected...	[ 22816, 5763, 37832, 15967, 29663 ]	Train
29,416	25	Title: Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator Abstract: Despite consistent advancement in powerful deep learning techniques in recent years, large amounts of training data are still necessary for the models to avoid overfitting. Sy...	[]	Train
29,417	27	Title: Torque Control with Joints Position and Velocity Limits Avoidance Abstract: The design of a control architecture for providing the desired motion along with the realization of the joint limitation of a robotic system is still an open challenge in control and robotics. This paper presents a torque control archite...	[]	Train
29,418	16	Title: General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation Abstract: The advent of high-resolution multispectral/hyperspectral sensors, LiDAR DSM (Digital Surface Model) information and many others has provided us with an unprecedented wealth of data for Earth Observation. Multimodal AI se...	[]	Validation
29,419	30	Title: Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models Abstract: Large language models can perform various reasoning tasks by using chain-of-thought prompting, which guides them to find answers through step-by-step demonstrations. However, the quality of the prompts depends on ...	[ 40192, 8225, 15973, 36392, 6537, 30063, 688, 22289, 42355, 34675, 42165, 33207, 18683, 37405 ]	Test
29,420	34	Title: On approximating the temporal betweenness centrality through sampling Abstract: We present a collection of sampling-based algorithms for approximating the temporal betweenness centrality of all nodes in a temporal graph. Our methods can compute probabilistically guaranteed high-quality temporal betweenness estim...	[]	Validation
29,421	16	Title: Inferior Alveolar Nerve Segmentation in CBCT images using Connectivity-Based Selective Re-training Abstract: Inferior Alveolar Nerve (IAN) canal detection in CBCT is an important step in many dental and maxillofacial surgery applications to prevent irreversible damage to the nerve during the procedure.The ToothF...	[]	Test
29,422	22	Title: Ideograph: A Language for Expressing and Manipulating Structured Data Abstract: We introduce Ideograph, a language for expressing and manipulating structured data. Its types describe kinds of structures, such as natural numbers, lists, multisets, binary trees, syntax trees with variable binding, directed multigr...	[]	Test
29,423	16	Title: Unified Visual Relationship Detection with Vision and Language Models Abstract: This work focuses on training a single visual relationship detector predicting over the union of label spaces from multiple datasets. Merging labels spanning different datasets could be challenging due to inconsistent taxonomies. The...	[ 35216 ]	Train
29,424	24	Title: A novel automatic wind power prediction framework based on multi-time scale and temporal attention mechanisms Abstract: Wind energy is a widely distributed, renewable, and environmentally friendly energy source that plays a crucial role in mitigating global warming and addressing energy shortages. Nevertheless, ...	[]	Train
29,425	6	Title: User Experience Considered Harmful (for the Planet) Abstract: Great user experience is killing us (more or less)! My argument in this provocation is that the excessive focus on user experience (UX) by the tech industry and academic community has a negative impact on the sustainability of ICT devices. I will argu...	[]	Test
29,426	24	Title: Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning Abstract: In this paper, we investigate the impact of compression on stochastic gradient algorithms for machine learning, a technique widely used in distributed and federated learning. We underline diff...	[]	Test
29,427	16	Title: Diagnosing Human-object Interaction Detectors Abstract: Although we have witnessed significant progress in human-object interaction (HOI) detection with increasingly high mAP (mean Average Precision), a single mAP score is too concise to obtain an informative summary of a model's performance and to understand wh...	[ 16778, 38181, 21165 ]	Validation
29,428	16	Title: Computer vision-enriched discrete choice models, with an application to residential location choice Abstract: Visual imagery is indispensable to many multi-attribute decision situations. Examples of such decision situations in travel behaviour research include residential location choices, vehicle choices, touri...	[]	Validation
29,429	2	Title: QTWTL: Quality Aware Time Window Temporal Logic for Performance Monitoring Abstract: In various service-oriented applications such as distributed autonomous delivery, healthcare, tourism, transportation, and many others, where service agents need to perform serial and time-bounded tasks to achieve their goals, q...	[ 12777 ]	Train
29,430	30	Title: Evaluating the Performance of Large Language Models on GAOKAO Benchmark Abstract: Large language models have demonstrated remarkable performance across various natural language processing tasks; however, their efficacy in more challenging and domain-specific tasks remains less explored. This paper introduces the...	[ 33220, 16837, 13189, 31012, 19593, 26035, 21012, 1270, 31895, 12602, 3035, 19420, 37791 ]	Validation
29,431	8	Title: A Security-aware Network Function Sharing Model for 5G Slicing Abstract: Sharing Virtualized Network Functions (VNFs) among different slices in Fifth Generation (5G) is a potential strategy to simplify the system implementation and utilize 5G resources efficiently. In this paper, we propose a security-aware VNF ...	[]	Train
29,432	24	Title: On the Efficacy of Metrics to Describe Adversarial Attacks Abstract: Adversarial defenses are naturally evaluated on their ability to tolerate adversarial attacks. To test defenses, diverse ad- versarial attacks are crafted, that are usually described in terms of their evading capability and the L 0 , L 1 , L 2,...	[]	Train
29,433	25	Title: MFCCGAN: A Novel MFCC-Based Speech Synthesizer Using Adversarial Learning Abstract: In this paper, we introduce MFCCGAN as a novel speech synthesizer based on adversarial learning that adopts MFCCs as input and generates raw speech waveforms. Benefiting the GAN model capabilities, it produces speech with higher ...	[]	Test
29,434	34	Title: Sink Location Problems in Dynamic Flow Grid Networks Abstract: A dynamic flow network consists of a directed graph, where nodes called sources represent locations of evacuees, and nodes called sinks represent locations of evacuation facilities. Each source and each sink are given supply representing the number o...	[]	Train
29,435	24	Title: Time Series Clustering With Random Convolutional Kernels Abstract: Time series data, spanning applications ranging from climatology to finance to healthcare, presents significant challenges in data mining due to its size and complexity. One open issue lies in time series clustering, which is crucial for processi...	[]	Train
29,436	23	Title: Benefits and Limitations of Remote Work to LGBTQIA+ Software Professionals Abstract: Background. The mass transition to remote work amid the COVID-19 pandemic profoundly affected software professionals, who abruptly shifted into ostensibly temporary home offices. The effects of this transition on these professio...	[ 7810 ]	Train
29,437	4	Title: Changes in Conducting Data Protection Risk Assessment and After GDPR implementation Abstract: Based on Article 35 of the EU (European Union) General Data Protection Regulation, a Data Protection Impact Assessment (DPIA) is necessary whenever there is a possibility of a high privacy and data protection risk to in...	[]	Train
29,438	4	Title: Watching your call: Breaking VoLTE Privacy in LTE/5G Networks Abstract: Voice over LTE (VoLTE) and Voice over NR (VoNR), are two similar technologies that have been widely deployed by operators to provide a better calling experience in LTE and 5G networks, respectively. The VoLTE/NR protocols rely on the securit...	[]	Train
29,439	16	Title: CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs Abstract: Controllable scene synthesis aims to create interactive environments for various industrial use cases. Scene graphs provide a highly suitable interface to facilitate these applications by abstracting the scene context in a compact ...	[ 43867, 34448, 23762, 34074, 28379 ]	Train
29,440	30	Title: Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models Abstract: The Natural Language Processing(NLP) community has been using crowd sourcing techniques to create benchmark datasets such as General Language Understanding and Evaluation(GLUE) for training modern Language Model...	[ 12896 ]	Validation
29,441	30	Title: MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions Abstract: The information stored in large language models (LLMs) falls out of date quickly, and retraining from scratch is often not an option. This has recently given rise to a range of techniques for injecting new facts through upda...	[ 13700, 31238, 27754, 31851, 41724 ]	Train
29,442	8	Title: Real-Time Neural Video Recovery and Enhancement on Mobile Devices Abstract: As mobile devices become increasingly popular for video streaming, it's crucial to optimize the streaming experience for these devices. Although deep learning-based video enhancement techniques are gaining attention, most of them cannot ...	[]	Test
29,443	30	Title: Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition Abstract: Human language acquisition is an efficient, supervised, and continual process. In this work, we took inspiration from how human babies acquire their first language, and developed a computational process for word...	[ 31323 ]	Train
29,444	24	Title: Containing a spread through sequential learning: to exploit or to explore? Abstract: The spread of an undesirable contact process, such as an infectious disease (e.g. COVID-19), is contained through testing and isolation of infected nodes. The temporal and spatial evolution of the process (along with containment...	[]	Train
29,445	23	Title: Lessons from Formally Verified Deployed Software Systems (Extended version) Abstract: The technology of formal software verification has made spectacular advances, but how much does it actually benefit the development of practical software? Considerable disagreement remains about the practicality of building sys...	[]	Train
29,446	28	Title: Untrusted NOMA with Imperfect SIC: Outage Performance Analysis and Optimization Abstract: Non-orthogonal multiple access (NOMA) has come to the fore as a spectral-efficient technique for fifth-generation and beyond communication networks. We consider the downlink of a NOMA system with untrusted users. In order t...	[ 21328 ]	Train
29,447	10	Title: Towards Ranking Schemas by Focus Abstract: The main goal of this paper is to evaluate knowledge base schemas, modeled as a set of entity types, each such type being associated with a set of properties, according to their focus. We intuitively model the notion of focus as ''the state or quality of being relevant ...	[]	Test
29,448	16	Title: Reducing Training Demands for 3D Gait Recognition with Deep Koopman Operator Constraints Abstract: Deep learning research has made many biometric recognition solution viable, but it requires vast training data to achieve real-world generalization. Unlike other biometric traits, such as face and ear, gait samples...	[]	Validation
29,449	30	Title: Personality-aware Human-centric Multimodal Reasoning: A New Task Abstract: Multimodal reasoning, an area of artificial intelligence that aims at make inferences from multimodal signals such as vision, language and speech, has drawn more and more attention in recent years. People with different personalities may ...	[]	Train
29,450	30	Title: Rethinking the Role of Token Retrieval in Multi-Vector Retrieval Abstract: Multi-vector retrieval models such as ColBERT [Khattab and Zaharia, 2020] allow token-level interactions between queries and documents, and hence achieve state of the art on many information retrieval benchmarks. However, their non-linear...	[]	Validation
29,451	25	Title: Voice Conversion with Denoising Diffusion Probabilistic GAN Models Abstract: Voice conversion is a method that allows for the transformation of speaking style while maintaining the integrity of linguistic information. There are many researchers using deep generative models for voice conversion tasks. Generative ...	[ 4946, 27362, 1199 ]	Validation
29,452	16	Title: DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion Abstract: In autonomous driving, data augmentation is commonly used for improving 3D object detection. The most basic methods include insertion of copied objects and rotation and scaling of the entir...	[]	Train
29,453	5	Title: CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning Abstract: Asynchronous federated learning aims to solve the straggler problem in heterogeneous environments, i.e., clients have small computational capacities that could cause aggregation delay. The principle of asynchronous fede...	[]	Train
29,454	31	Title: Enhancing Recommender Systems with Large Language Model Reasoning Graphs Abstract: Recommendation systems aim to provide users with relevant suggestions, but often lack interpretability and fail to capture higher-level semantic relationships between user behaviors and profiles. In this paper, we propose a novel ...	[ 705, 43586, 30854, 43271, 31147, 13583, 33328, 788 ]	Validation
29,455	23	Title: LongCoder: A Long-Range Pre-trained Language Model for Code Completion Abstract: In this paper, we introduce a new task for code completion that focuses on handling long code input and propose a sparse Transformer model, called LongCoder, to address this task. LongCoder employs a sliding window mechanism for sel...	[ 27936, 19885 ]	Train
29,456	16	Title: Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models Abstract: Diffusion-based Generative Models (DGMs) have achieved unparalleled performance in synthesizing high-quality visual content, opening up the opportunity to improve image super-resolution (SR) tasks. Recen...	[ 21152, 40828, 9246 ]	Test
29,457	16	Title: SeaThru-NeRF: Neural Radiance Fields in Scattering Media Abstract: Research on neural radiance fields (NeRFs) for novel view generation is exploding with new models and extensions. However, a question that remains unanswered is what happens in underwater or foggy scenes where the medium strongly influences the a...	[ 32433 ]	Train
29,458	30	Title: IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations Abstract: Large Language Models (LLMs) encode meanings of words in the form of distributed semantics. Distributed semantics capture common statistical patterns among language tokens (w...	[ 17127, 38183, 38381, 29554, 25883, 23484 ]	Validation
29,459	13	Title: Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons Abstract: Spiking neural networks (SNN) are able to learn spatiotemporal features while using less energy, especially on neuromorphic hardware. The most widely used spiking neuron in deep learning is the Leaky Integrate and Fire (LIF) neuro...	[ 24076 ]	Test
29,460	24	Title: Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems Abstract: Effective investment planning decisions are crucial to ensure that critical cyber-physical infrastructures satisfy performance requirements over an extended time horizon. Computing these decisions often requires solving C...	[]	Train
29,461	4	Title: SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets Abstract: Learning with Errors (LWE) is a hard math problem used in post-quantum cryptography. Homomorphic Encryption (HE) schemes rely on the hardness of the LWE problem for their security, and two LWE-based cryptosystems w...	[ 38210, 43388 ]	Train
29,462	30	Title: Reducing Sensitivity on Speaker Names for Text Generation from Dialogues Abstract: Changing speaker names consistently throughout a dialogue should not affect its meaning and corresponding outputs for text generation from dialogues. However, pre-trained language models, serving as the backbone for dialogue-proce...	[]	Test
29,463	3	Title: Conceptualizing Approaches to Critical Computing Education: Inquiry, Design and Reimagination Abstract: nan	[]	Train
29,464	24	Title: LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization Abstract: Regularization techniques are crucial to improving the generalization performance and training efficiency of deep neural networks. Many deep learning algorithms rely on weight decay, dropout, batch/layer normalization to conv...	[]	Train
29,465	23	Title: A Large-scale Benchmark for Log Parsing Abstract: Log data is pivotal in activities like anomaly detection and failure diagnosis in the automated maintenance of software systems. Due to their unstructured format, log parsing is often required to transform them into a structured format for automated analysis. A v...	[ 43769, 24282, 8413, 11375 ]	Train
29,466	30	Title: A Language Model for Grammatical Error Correction in L2 Russian Abstract: Grammatical error correction is one of the fundamental tasks in Natural Language Processing. For the Russian language, most of the spellcheckers available correct typos and other simple errors with high accuracy, but often fail when faced ...	[]	Train
29,467	30	Title: KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization Abstract: In this paper, we introduce CheXOFA, a new pre-trained vision-language model (VLM) for the chest X-ray domain. Our model is initially pre-trained on various multimodal datasets within the general domain befor...	[]	Train
29,468	13	Title: Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization Abstract: Optimizing manufacturing process parameters is typically a multi-objective problem with often contradictory objectives such as production quality and production time. If production requirements change, process paramet...	[]	Train
29,469	24	Title: Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback Abstract: This paper considers a variant of zero-sum matrix games where at each timestep the row player chooses row $i$, the column player chooses column $j$, and the row player receives a noisy reward with mean $A_{i,j}$. The ob...	[]	Train
29,470	33	Title: Once-Marking and Always-Marking 1-Limited Automata Abstract: Single-tape nondeterministic Turing machines that are allowed to replace the symbol in each tape cell only when it is scanned for the first time are also known as 1-limited automata. These devices characterize, exactly as finite automata, the class of ...	[]	Train
29,471	16	Title: SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation Abstract: In this paper, we investigate the vulnerability of MDE to adversarial patches. We propose a novel \underline{S}tealthy \underline{A}dversarial \underline{A}ttacks on \underline{M}DE (SAAM) that compromises MDE by either corrupting the esti...	[ 16514, 11443, 33198, 3694 ]	Train
29,472	6	Title: Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks Abstract: Computational notebooks are widely used for data analysis. Their interleaved displays of code and execution results (e.g., visualizations) are welcomed since they enable iterative analysis and preserve the exploration proces...	[ 15434, 41267, 4694, 7962, 32027 ]	Validation
29,473	8	Title: A Handheld Fine-Grained RFID Localization System with Complex-Controlled Polarization Abstract: There is much interest in fine-grained RFID localization systems. Existing systems for accurate localization typically require infrastructure, either in the form of extensive reference tags or many antennas (e.g., ant...	[]	Train
29,474	22	Title: Parameterized Algebraic Protocols Abstract: We propose algebraic protocols that enable the definition of protocol templates and session types analogous to the definition of domain-specific types with algebraic datatypes. Parameterized algebraic protocols subsume all regular as well as most context-free and neste...	[ 25018 ]	Train
29,475	23	Title: BLAFS: A Bloat Aware File System Abstract: While there has been exponential improvements in hardware performance over the years, software performance has lagged behind. The performance-gap is caused by software inefficiencies, many of which are caused by software bloat. Software bloat occurs due to the ever incr...	[]	Test
29,476	30	Title: SeamlessM4T-Massively Multilingual & Multimodal Machine Translation Abstract: What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed machine translation coverage beyond 200 languages, uni...	[ 18777, 476 ]	Validation
29,477	16	Title: Scale Alone Does not Improve Mechanistic Interpretability in Vision Models Abstract: In light of the recent widespread adoption of AI systems, understanding the internal information processing of neural networks has become increasingly critical. Most recently, machine vision has seen remarkable progress by scali...	[ 36769, 37070 ]	Train

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