node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
26,978 | 24 | Title: On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
Abstract: Deep reinforcement learning (DRL) has proven extremely useful in a large variety of application domains. However, even successful DRL-based software can exhibit highly undesirable behavior. This is due to DRL training being based on... | [] | Train |
26,979 | 34 | Title: Count-min sketch with variable number of hash functions: an experimental study
Abstract: Conservative Count-Min, an improved version of Count-Min sketch [Cormode, Muthukrishnan 2005], is an online-maintained hashing-based data structure summarizing element frequency information without storing elements themselve... | [] | Validation |
26,980 | 16 | Title: Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models
Abstract: Morphed face images have recently become a growing concern for existing face verification systems, as they are relatively easy to generate and can be used to impersonate someone’s identity for various malicious purposes. Effic... | [] | Validation |
26,981 | 10 | Title: Working Memory Capacity of ChatGPT: An Empirical Study
Abstract: Working memory is a critical aspect of both human intelligence and artificial intelligence, serving as a workspace for the temporary storage and manipulation of information. In this paper, we systematically assess the working memory capacity of Cha... | [
36528,
33220,
13510
] | Test |
26,982 | 24 | Title: Passing Heatmap Prediction Based on Transformer Model and Tracking Data
Abstract: Although the data-driven analysis of football players' performance has been developed for years, most research only focuses on the on-ball event including shots and passes, while the off-ball movement remains a little-explored area... | [] | Train |
26,983 | 16 | Title: Hyneter: Hybrid Network Transformer for Object Detection
Abstract: In this paper, we point out that the essential differences between CNN-based and Transformer-based detectors, which cause the worse performance of small objects in Transformer-based methods, are the gap between local information and global depend... | [
35237
] | Train |
26,984 | 30 | Title: Scalable Prompt Generation for Semi-supervised Learning with Language Models
Abstract: Prompt-based learning methods in semi-supervised learning (SSL) settings have been shown to be effective on multiple natural language understanding (NLU) datasets and tasks in the literature. However, manually designing multip... | [
29604
] | Train |
26,985 | 2 | Title: Verification Of Partial Quantifier Elimination
Abstract: Quantifier elimination (QE) is an important problem that has numerous applications. Unfortunately, QE is computationally very hard. Earlier we introduced a generalization of QE called $\mathit{partial}$ QE (or PQE for short). PQE allows to unquantify a $\m... | [] | Train |
26,986 | 15 | Title: AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
Abstract: The advancement of Deep Learning (DL) is driven by efficient Deep Neural Network (DNN) design and new hardware accelerators. Current DNN design is primarily tailored for general-purpose use and deploymen... | [
25385,
30924
] | Validation |
26,987 | 16 | Title: Neural Network Pruning for Real-time Polyp Segmentation
Abstract: Computer-assisted treatment has emerged as a viable application of medical imaging, owing to the efficacy of deep learning models. Real-time inference speed remains a key requirement for such applications to help medical personnel. Even though the... | [
10038
] | Train |
26,988 | 24 | Title: Deep Learning for Polycystic Kidney Disease: Utilizing Neural Networks for Accurate and Early Detection through Gene Expression Analysis
Abstract: With Polycystic Kidney Disease (PKD) potentially leading to fatal complications in patients due to the formation of cysts in the kidneys, early detection of PKD is cr... | [] | Train |
26,989 | 24 | Title: C-MCTS: Safe Planning with Monte Carlo Tree Search
Abstract: Many real-world decision-making tasks, such as safety-critical scenarios, cannot be fully described in a single-objective setting using the Markov Decision Process (MDP) framework, as they include hard constraints. These can instead be modeled with add... | [] | Validation |
26,990 | 23 | Title: Identifying Personal Data Processing for Code Review
Abstract: Code review is a critical step in the software development life cycle, which assesses and boosts the code's effectiveness and correctness, pinpoints security issues, and raises its quality by adhering to best practices. Due to the increased need for ... | [
22526
] | Test |
26,991 | 5 | Title: Online Container Scheduling for Low-Latency IoT Services in Edge Cluster Upgrade: A Reinforcement Learning Approach
Abstract: In Mobile Edge Computing (MEC), Internet of Things (IoT) devices offload computationally-intensive tasks to edge nodes, where they are executed within containers, reducing the reliance on... | [] | Validation |
26,992 | 20 | Title: An Efficient Solution Space Exploring and Descent Method for Packing Equal Spheres in a Sphere
Abstract: The problem of packing equal spheres in a spherical container is a classic global optimization problem, which has attracted enormous studies in academia and found various applications in industry. This proble... | [] | Train |
26,993 | 4 | Title: Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
Abstract: Various data-sharing platforms have emerged with the growing public demand for open data and legislation mandating certain data to remain open. Most of these platforms remain opaque, leading to many questions abou... | [
29174
] | Train |
26,994 | 24 | Title: Reduce Computational Complexity for Convolutional Layers by Skipping Zeros
Abstract: Deep neural networks rely on parallel processors for acceleration. To design operators for them, it requires not only good algorithm to reduce complexity, but also sufficient utilization of hardwares. Convolutional layers mainly... | [
17473
] | Test |
26,995 | 16 | Title: D2NT: A High-Performing Depth-to-Normal Translator
Abstract: Surface normal holds significant importance in visual environmental perception, serving as a source of rich geometric information. However, the state-of-the-art (SoTA) surface normal estimators (SNEs) generally suffer from an unsatisfactory trade-off b... | [] | Train |
26,996 | 30 | Title: PREADD: Prefix-Adaptive Decoding for Controlled Text Generation
Abstract: We propose Prefix-Adaptive Decoding (PREADD), a flexible method for controlled text generation. Unlike existing methods that use auxiliary expert models to control for attributes, PREADD does not require an external model, instead relying ... | [] | Train |
26,997 | 23 | Title: Adversarial Attacks on Code Models with Discriminative Graph Patterns
Abstract: Pre-trained language models of code are now widely used in various software engineering tasks such as code generation, code completion, vulnerability detection, etc. This, in turn, poses security and reliability risks to these models... | [
10976,
18984,
12170,
14869,
21759
] | Train |
26,998 | 27 | Title: An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge
Abstract: While the majority of autonomous driving research has concentrated on everyday driving scenarios, further safety and performance improvements of autonomous vehicles require a foc... | [] | Train |
26,999 | 37 | Title: Real-time Workload Pattern Analysis for Large-scale Cloud Databases
Abstract: Hosting database services on cloud systems has become a common practice. This has led to the increasing volume of database workloads, which provides the opportunity for pattern analysis. Discovering workload patterns from a business lo... | [
16552,
35440
] | Train |
27,000 | 16 | Title: Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection
Abstract: Discovering ancient agricultural terraces in desert regions is important for the monitoring of long-term climate changes on the Earth’s surface. However, traditional ground surveys are both costly and limited in scale. With the incre... | [] | Test |
27,001 | 10 | Title: Persistence-Based Discretization for Learning Discrete Event Systems from Time Series
Abstract: To get a good understanding of a dynamical system, it is convenient to have an interpretable and versatile model of it. Timed discrete event systems are a kind of model that respond to these requirements. However, suc... | [] | Validation |
27,002 | 24 | Title: Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning
Abstract: Deep learning-based disease diagnosis applications are essential for accurate diagnosis at various disease stages. However, using personal data exposes ... | [] | Train |
27,003 | 24 | Title: Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Abstract: Out-of-distribution (OOD) detection aims to identify test examples that do not belong to the training distribution and are thus unlikely to be predicted reliably. Despite a plethora of existing works, most of them focused only on the s... | [] | Validation |
27,004 | 24 | Title: GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
Abstract: Adversarial examples (AE) with good transferability enable practical black-box attacks on diverse target models, where insider knowledge about the target models is not required. Previous methods often generate AE with no or very li... | [
35284
] | Test |
27,005 | 16 | Title: A comparative analysis of SRGAN models
Abstract: In this study, we evaluate the performance of multiple state-of-the-art SRGAN (Super Resolution Generative Adversarial Network) models, ESRGAN, Real-ESRGAN and EDSR, on a benchmark dataset of real-world images which undergo degradation using a pipeline. Our result... | [] | Validation |
27,006 | 16 | Title: Learning a Deep Color Difference Metric for Photographic Images
Abstract: Most well-established and widely used color difference (CD) metrics are handcrafted and subjectcalibrated against uniformly colored patches, which do not generalize well to photographic images characterized by natural scene complexities. C... | [] | Train |
27,007 | 31 | Title: Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback
Abstract: Learning contrastive representations from pairwise comparisons has achieved remarkable success in various fields, such as natural language processing, computer vision, and information retrieval. Collaborative filtering algorithms base... | [
12865
] | Train |
27,008 | 31 | Title: Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities
Abstract: nan | [] | Test |
27,009 | 6 | Title: Predicting EEG Responses to Attended Speech via Deep Neural Networks for Speech
Abstract: Attending to the speech stream of interest in multi-talker environments can be a challenging task, particularly for listeners with hearing impairment. Research suggests that neural responses assessed with electroencephalogr... | [] | Train |
27,010 | 13 | Title: An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization
Abstract: Feature selection can be defined as one of the pre-processing steps that decreases the dimensionality of a dataset by identifying the most significant attributes while also boosting t... | [] | Train |
27,011 | 24 | Title: Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Abstract: Mutual information (MI) is a fundamental quantity in information theory and machine learning. However, direct estimation of MI is intractable, even if the true joint probability density for the variables of interest is known,... | [] | Train |
27,012 | 16 | Title: Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation
Abstract: RGB-T semantic segmentation has been widely adopted to handle hard scenes with poor lighting conditions by fusing different modality features of RGB and thermal images. Existing methods try to find an optimal fusion feature for se... | [] | Train |
27,013 | 10 | Title: Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs
Abstract: We introduce a system called Amorphous Fortress -- an abstract, yet spatial, open-ended artificial life simulation. In this environment, the agents are represented as finite-state machines (FSMs) which allow for multi-agent interaction... | [
39925
] | Test |
27,014 | 27 | Title: Development of Real-time Rendering Technology for High-Precision Models in Autonomous Driving
Abstract: Our autonomous driving simulation lab produces a high-precision 3D model simulating the parking lot. However, the current model still has poor rendering quality in some aspects. In this work, we develop a syst... | [
5693,
2191
] | Test |
27,015 | 30 | Title: Evaluating Open-QA Evaluation
Abstract: This study focuses on the evaluation of the Open Question Answering (Open-QA) task, which can directly estimate the factuality of large language models (LLMs). Current automatic evaluation methods have shown limitations, indicating that human evaluation still remains the m... | [
12128,
15104,
38208,
13224,
44176,
35580
] | Train |
27,016 | 3 | Title: A Graph Analysis of the Impact of COVID-19 on Emergency Housing Shelter Access Patterns
Abstract: This paper investigates how COVID-19 disrupted emergency housing shelter access patterns in Calgary, Canada and what aspects of these changes persist to the present day. This analysis will utilize aggregated shelter... | [] | Train |
27,017 | 24 | Title: Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
Abstract: Advances in adversarial defenses have led to a significant improvement in the robustness of Deep Neural Networks. However, the robust accuracy of present state-of-the-art defenses is far from the requirements in critical applicati... | [] | Train |
27,018 | 31 | Title: A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions
Abstract: Recommendation systems have become popular and effective tools to help users discover their interesting items by modeling the user preference and item property based on implicit interactions (e.g., pur... | [
1765,
35129,
29163,
45616,
17816,
185,
1434
] | Test |
27,019 | 24 | Title: Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
Abstract: A natural solution concept for many multiagent settings is the Stackelberg equilibrium, under which a ``leader'' agent selects a strategy that maximizes its own payoff assuming the ``follower'' chooses their best response to thi... | [] | Train |
27,020 | 34 | Title: Approximating Long Cycle Above Dirac's Guarantee
Abstract: Parameterization above (or below) a guarantee is a successful concept in parameterized algorithms. The idea is that many computational problems admit ``natural'' guarantees bringing to algorithmic questions whether a better solution (above the guarantee)... | [] | Train |
27,021 | 36 | Title: Shipper collaboration matching: fast enumeration of triangular transports with high cooperation effects
Abstract: The logistics industry in Japan is facing a severe shortage of labor. Therefore, there is an increasing need for joint transportation allowing large amounts of cargo to be transported using fewer tru... | [] | Validation |
27,022 | 2 | Title: The category of MSO transductions
Abstract: MSO transductions are binary relations between structures which are defined using monadic second-order logic. MSO transductions form a category, since they are closed under composition. We show that many notions from language theory, such as recognizability or tree dec... | [] | Train |
27,023 | 16 | Title: SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks
Abstract: This paper explores how graph neural networks (GNNs) can be used to enhance visual scene understanding and surgical skill assessment. By using GNNs to analyze the complex visual data of surgical ... | [
33088
] | Train |
27,024 | 24 | Title: An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network
Abstract: We propose an Gaussian Mixture Model (GMM) learning algorithm, based on our previous work of GMM expansion idea. The new algorithm brings more robustness and simplicity than classic ... | [] | Train |
27,025 | 24 | Title: Robust Neural Architecture Search
Abstract: Neural Architectures Search (NAS) becomes more and more popular over these years. However, NAS-generated models tends to suffer greater vulnerability to various malicious attacks. Lots of robust NAS methods leverage adversarial training to enhance the robustness of NAS... | [
10761
] | Test |
27,026 | 24 | Title: Deep Reinforcement Learning for Online Error Detection in Cyber-Physical Systems
Abstract: Reliability is one of the major design criteria in Cyber-Physical Systems (CPSs). This is because of the existence of some critical applications in CPSs and their failure is catastrophic. Therefore, employing strong error ... | [] | Test |
27,027 | 16 | Title: Can SAM Count Anything? An Empirical Study on SAM Counting
Abstract: Meta AI recently released the Segment Anything model (SAM), which has garnered attention due to its impressive performance in class-agnostic segmenting. In this study, we explore the use of SAM for the challenging task of few-shot object counti... | [
12704,
33220,
44854,
1151,
35263
] | Train |
27,028 | 37 | Title: Semantic Units: Organizing knowledge graphs into semantically meaningful units of representation
Abstract: Background: Knowledge graphs and ontologies are becoming increasingly important as technical solutions for Findable, Accessible, Interoperable, and Reusable data and metadata (FAIR Guiding Principles). We d... | [
12441,
39851,
9148
] | Train |
27,029 | 14 | Title: Bézout Subresultants for Univariate Polynomials in General Basis
Abstract: Subresultant is a powerful tool for developing various algorithms in computer algebra. Subresultants for polynomials in standard basis (i.e., power basis) have been well studied so far. With the popularity of basis-preserving algorithms, ... | [] | Train |
27,030 | 30 | Title: Bits of Grass: Does GPT already know how to write like Whitman?
Abstract: This study examines the ability of GPT-3.5, GPT-3.5-turbo (ChatGPT) and GPT-4 models to generate poems in the style of specific authors using zero-shot and many-shot prompts (which use the maximum context length of 8192 tokens). We assess ... | [
4823
] | Test |
27,031 | 3 | Title: Towards Mitigating ChatGPT's Negative Impact on Education: Optimizing Question Design Through Bloom's Taxonomy
Abstract: The popularity of generative text AI tools in answering questions has led to concerns regarding their potential negative impact on students' academic performance and the challenges that educat... | [
37424
] | Train |
27,032 | 16 | Title: DFormer: Diffusion-guided Transformer for Universal Image Segmentation
Abstract: This paper introduces an approach, named DFormer, for universal image segmentation. The proposed DFormer views universal image segmentation task as a denoising process using a diffusion model. DFormer first adds various levels of Ga... | [
7281,
31634,
42221,
21894
] | Train |
27,033 | 16 | Title: Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
Abstract: Person identification is a problem that has received substantial attention, particularly in security domains. Gait recognition is one of the most convenient approaches enabling person identification at a d... | [] | Train |
27,034 | 16 | Title: Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising
Abstract: Calibration-based methods have dominated RAW image denoising under extremely low-light environments. However, these methods suffer from several main deficiencies: 1) the calibration procedure is laborious and time-consu... | [
16797,
486,
20255
] | Test |
27,035 | 24 | Title: TwinExplainer: Explaining Predictions of an Automotive Digital Twin
Abstract: Vehicles are complex Cyber Physical Systems (CPS) that operate in a variety of environments, and the likelihood of failure of one or more subsystems, such as the engine, transmission, brakes, and fuel, can result in unscheduled downtim... | [
21049
] | Train |
27,036 | 24 | Title: Online Learning of Smooth Functions
Abstract: , | [] | Validation |
27,037 | 16 | Title: Theater Aid System for the Visually Impaired Through Transfer Learning of Spatio-Temporal Graph Convolution Networks
Abstract: The aim of this research is to recognize human actions performed on stage to aid visually impaired and blind individuals. To achieve this, we have created a theatre human action recognit... | [
12470
] | Train |
27,038 | 24 | Title: Data efficiency and extrapolation trends in neural network interatomic potentials
Abstract: Recently, key architectural advances have been proposed for neural network interatomic potentials (NNIPs), such as incorporating message-passing networks, equivariance, or many-body expansion terms. Although modern NNIP m... | [] | Test |
27,039 | 30 | Title: Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
Abstract: Language models (LMs) often struggle to pay enough attention to the input context, and generate texts that are unfaithful or contain hallucinations. To mitigate this issue, we present context-aware decoding (CAD), which follows a cont... | [
33175,
13700,
26423,
10357,
27669,
28151,
31320,
38102
] | Train |
27,040 | 16 | Title: A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing
Abstract: Optical Character Recognition (OCR) technology finds applications in digitizing books and unstructured documents, along with applications in other domains such as mobility statistics, ... | [] | Train |
27,041 | 30 | Title: Address Matching Based On Hierarchical Information
Abstract: There is evidence that address matching plays a crucial role in many areas such as express delivery, online shopping and so on. Address has a hierarchical structure, in contrast to unstructured texts, which can contribute valuable information for addre... | [] | Train |
27,042 | 10 | Title: Maximal Ordinal Two-Factorizations
Abstract: Given a formal context, an ordinal factor is a subset of its incidence relation that forms a chain in the concept lattice, i.e., a part of the dataset that corresponds to a linear order. To visualize the data in a formal context, Ganter and Glodeanu proposed a biplot ... | [
10374,
9095
] | Train |
27,043 | 28 | Title: Codes with Biochemical Constraints and Single Error Correction for DNA-Based Data Storage
Abstract: In DNA-based data storage, DNA codes with biochemical constraints and error correction are designed to protect data reliability. Single-stranded DNA sequences with secondary structure avoidance (SSA) help to avoid... | [
11250,
22028
] | Train |
27,044 | 24 | Title: The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
Abstract: Explainable Artificial Intelligence (XAI) plays a crucial role in enabling human understanding and trust in deep learning systems, often defined as determining which features are most important to a model... | [
37702
] | Validation |
27,045 | 24 | Title: Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
Abstract: Providing accurate uncertainty estimations is essential for producing reliable machine learning models, especially in safety-critical applications such as accelerator systems. Gaussian process models are gene... | [] | Test |
27,046 | 24 | Title: Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification
Abstract: Effective quantification of uncertainty is an essential and still missing step towards a greater adoption of deep-learning approaches in different applications, including mission-critical ones. In particular, investigations o... | [] | Validation |
27,047 | 16 | Title: Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning
Abstract: Domain adaptive semantic segmentation enables robust pixel-wise understanding in real-world driving scenes. Source-free domain adaptation, as a more practical technique, addresses the concerns... | [] | Test |
27,048 | 30 | Title: Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
Abstract: Having an intelligent dialogue agent that can engage in conversational question answering (ConvQA) is now no longer limited to Sci-Fi movies only and has, in fact, turned in... | [
40181
] | Train |
27,049 | 30 | Title: Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
Abstract: Large language models (LLMs) are known to effectively perform tasks by simply observing few exemplars. However, in low-resource languages, obtaining such hand-picked exemplar... | [] | Validation |
27,050 | 31 | Title: U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation
Abstract: Conversational recommender systems ( CRS s) aim to understand the information needs and preferences expressed in a dialogue to recommend suitable items to the user. Most of the existing conversational recomme... | [] | Train |
27,051 | 2 | Title: Multiple-Inheritance Hazards in Dependently-Typed Algebraic Hierarchies
Abstract: nan | [] | Validation |
27,052 | 17 | Title: Hardware Acceleration of Progressive Refinement Radiosity using Nvidia RTX
Abstract: A vital component of photo-realistic image synthesis is the simulation of indirect diffuse reflections, which still remain a quintessential hurdle that modern rendering engines struggle to overcome. Real-time applications typica... | [] | Validation |
27,053 | 27 | Title: SE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs
Abstract: In this paper, we propose a novel data-driven approach for learning and control of quadrotor UAVs based on the Koopman operator and extended dynamic mode decomposition (EDMD). Building observables for EDMD based on conventional metho... | [] | Train |
27,054 | 16 | Title: DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment
Abstract: This paper presents DetCLIPv2, an efficient and scalable training framework that incorporates large-scale imagetext pairs to achieve open-vocabulary object detection (OVD). Unlike previous OVD frameworks that ty... | [
24887
] | Train |
27,055 | 16 | Title: Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
Abstract: Low-light conditions not only hamper human visual experience but also degrade the model's performance on downstream vision tasks. While existing works make remarkable progress on day-night domain adaptation, they rely heavily on domain knowledge... | [] | Test |
27,056 | 33 | Title: Formal Analysis and Verification of Max-Plus Linear Systems
Abstract: Max-Plus Linear (MPL) systems are an algebraic formalism with practical applications in transportation networks, manufacturing and biological systems. In this paper, we investigate the problem of automatically analyzing the properties of MPL, ... | [] | Validation |
27,057 | 30 | Title: mPMR: A Multilingual Pre-trained Machine Reader at Scale
Abstract: We present multilingual Pre-trained Machine Reader (mPMR), a novel method for multilingual machine reading comprehension (MRC)-style pre-training. mPMR aims to guide multilingual pre-trained language models (mPLMs) to perform natural language und... | [
24764,
38390
] | Train |
27,058 | 16 | Title: Uncovering Bias in Face Generation Models
Abstract: Recent advancements in GANs and diffusion models have enabled the creation of high-resolution, hyper-realistic images. However, these models may misrepresent certain social groups and present bias. Understanding bias in these models remains an important researc... | [] | Train |
27,059 | 4 | Title: GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models
Abstract: Recent text-to-image diffusion models such as MidJourney and Stable Diffusion threaten to displace many in the professional artist community. In particular, models can learn to mimic the artistic style of specific artists after"fine-t... | [
40586,
20109,
32525,
23184,
29200,
17938,
44177,
36383,
29087,
7973,
27301,
42149,
26792,
4649,
19249,
30643,
30523,
44741,
37330,
3413,
12888,
28513,
35940,
22886,
10478,
46196,
4345,
21882
] | Train |
27,060 | 11 | Title: A Hierarchical Game-Theoretic Decision-Making for Cooperative Multiagent Systems Under the Presence of Adversarial Agents
Abstract: Underlying relationships among Multi-Agent Systems (MAS) in hazardous scenarios can be represented as Game-theoretic models. This paper proposes a new hierarchical network-based mod... | [
33413
] | Train |
27,061 | 27 | Title: DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes
Abstract: Robotic grasping is a fundamental skill required for object manipulation in robotics. Multi-fingered robotic hands, which mimic the structure of the human hand, can potentially perform complex object manipulation.... | [] | Validation |
27,062 | 16 | Title: Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images
Abstract: Semantic segmentation of various tissue and nuclei types in histology images is fundamental to many downstream tasks in the area of computational pathology (CPath). In ... | [] | Test |
27,063 | 16 | Title: Learning Visual Representations via Language-Guided Sampling
Abstract: Although an object may appear in numerous contexts, we often describe it in a limited number of ways. Language allows us to abstract away visual variation to represent and communicate concepts. Building on this intuition, we propose an altern... | [
7850,
15187,
32148,
19573,
15257,
21883
] | Validation |
27,064 | 24 | Title: Criticality versus uniformity in deep neural networks
Abstract: Deep feedforward networks initialized along the edge of chaos exhibit exponentially superior training ability as quantified by maximum trainable depth. In this work, we explore the effect of saturation of the tanh activation function along the edge ... | [] | Train |
27,065 | 32 | Title: The growclusters Package for R
Abstract: The growclusters package for R implements an enhanced version of k-means clustering that allows discovery of local clusterings or partitions for a collection of data sets that each draw their cluster means from a single, global partition. The package contains functions to... | [] | Validation |
27,066 | 24 | Title: Handling Group Fairness in Federated Learning Using Augmented Lagrangian Approach
Abstract: Federated learning (FL) has garnered considerable attention due to its privacy-preserving feature. Nonetheless, the lack of freedom in managing user data can lead to group fairness issues, where models might be biased tow... | [] | Test |
27,067 | 30 | Title: Emoji Prediction in Tweets using BERT
Abstract: In recent years, the use of emojis in social media has increased dramatically, making them an important element in understanding online communication. However, predicting the meaning of emojis in a given text is a challenging task due to their ambiguous nature. In ... | [] | Test |
27,068 | 16 | Title: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
Abstract: The process of annotating histological gigapixel-sized whole slide images (WSIs) at the pixel level for the purpose of training a supervised segmentation model is time-consuming. Region-based active learning (AL) i... | [] | Train |
27,069 | 16 | Title: Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos
Abstract: Contrastive learning has recently narrowed the gap between self-supervised and supervised methods in image and video domain. State-of-the-art video contrastive learning methods such as CVRL and $\rho$-MoCo spatiotemporally augment ... | [] | Train |
27,070 | 5 | Title: Partial Product Updates for Agents of Detectable Failure and Logical Obstruction to Task Solvability
Abstract: The logical method proposed by Goubault, Ledent, and Rajsbaum provides a novel way to show the unsolvability of distributed tasks by means of a logical obstruction, which is an epistemic logic formula d... | [] | Validation |
27,071 | 24 | Title: Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals
Abstract: We study the stochastic Budgeted Multi-Armed Bandit (MAB) problem, where a player chooses from $K$ arms with unknown expected rewards and costs. The goal is to maximize the total reward under a budget constraint. A player thus seeks to c... | [] | Test |
27,072 | 24 | Title: A Simple Algorithm For Scaling Up Kernel Methods
Abstract: The recent discovery of the equivalence between infinitely wide neural networks (NNs) in the lazy training regime and Neural Tangent Kernels (NTKs) (Jacot et al., 2018) has revived interest in kernel methods. However, conventional wisdom suggests kernel ... | [] | Train |
27,073 | 16 | Title: Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion
Abstract: In recent years, deep learning-based methods have achieved remarkable progress in multi-exposure image fusion. However, existing methods rely on aligned image pairs, inevitably generating artifacts when faced with device shaking... | [
10982
] | Train |
27,074 | 24 | Title: Ensemble framework for cardiovascular disease prediction
Abstract: nan | [] | Test |
27,075 | 2 | Title: Declarative Linearizability Proofs for Descriptor-Based Concurrent Helping Algorithms
Abstract: Linearizability is a standard correctness criterion for concurrent algorithms, typically proved by establishing the algorithms' linearization points. However, relying on linearization points leads to proofs that are i... | [] | Train |
27,076 | 16 | Title: BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization
Abstract: In this work, we are dedicated to leveraging the BERT pre-training success and modeling the domain-specific statistics to fertilize the sign language recognition~(SLR) model. Considering the dominance of hand and body in s... | [
17348
] | Train |
27,077 | 5 | Title: Systems for Parallel and Distributed Large-Model Deep Learning Training
Abstract: Deep learning (DL) has transformed applications in a variety of domains, including computer vision, natural language processing, and tabular data analysis. The search for improved DL model accuracy has led practitioners to explore ... | [] | Train |
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