node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
16,578 | 24 | Title: Graph Condensation for Inductive Node Representation Learning
Abstract: Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications. To address this limitation, graph condensation has emerged as ... | [
15316
] | Validation |
16,579 | 30 | Title: Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation
Abstract: In this paper, we have shown the improvement of English to Bharti Braille machine translation system. We have shown how we can improve a baseline NMT model by adding some linguistic knowledge to it. This was done fo... | [] | Train |
16,580 | 24 | Title: Neighborhood Averaging for Improving Outlier Detectors
Abstract: We hypothesize that similar objects should have similar outlier scores. To our knowledge, all existing outlier detectors calculate the outlier score for each object independently regardless of the outlier scores of the other objects. Therefore, the... | [] | Train |
16,581 | 10 | Title: Context Matters: A Strategy to Pre-train Language Model for Science Education
Abstract: This study aims at improving the performance of scoring student responses in science education automatically. BERT-based language models have shown significant superiority over traditional NLP models in various language-relat... | [
45505,
45189,
36263,
40136,
7996,
23230,
1151
] | Train |
16,582 | 13 | Title: TurboGP: A flexible and advanced python based GP library
Abstract: We introduce TurboGP, a Genetic Programming (GP) library fully written in Python and specifically designed for machine learning tasks. TurboGP implements modern features not available in other GP implementations, such as island and cellular popul... | [] | Train |
16,583 | 8 | Title: Service Level Agreements for Communication Networks: A Survey
Abstract: Abstract. Information and Communication Technology (ICT) is being provided to the variety of endusers demands, thereby providing a better and improved management of services is crucial. Therefore,
Service Level Agreements (SLAs) are essenti... | [] | Test |
16,584 | 5 | Title: Every Bit Counts in Consensus
Abstract: Consensus enables n processes to agree on a common valid L-bit value, despite t<n/3 processes being faulty and acting arbitrarily. A long line of work has been dedicated to improving the worst-case communication complexity of consensus in partial synchrony. This has recent... | [
10101
] | Test |
16,585 | 28 | Title: Coding for the Gaussian Channel in the Finite Blocklength Regime Using a CNN-Autoencoder
Abstract: The development of delay-sensitive applications that require ultra high reliability created an additional challenge for wireless networks. This led to Ultra-Reliable Low-Latency Communications, as a use case that 5... | [] | Train |
16,586 | 16 | Title: Facial Affect Recognition based on Transformer Encoder and Audiovisual Fusion for the ABAW5 Challenge
Abstract: In this paper, we present our solutions for the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), which includes four sub-challenges of Valence-Arousal (VA) Estimation, Ex... | [
38944,
23458,
32166,
17321,
23627,
1305,
17722
] | Test |
16,587 | 24 | Title: Optimal Transport with Tempered Exponential Measures
Abstract: In the field of optimal transport, two prominent subfields face each other: (i) unregularized optimal transport, ``\`a-la-Kantorovich'', which leads to extremely sparse plans but with algorithms that scale poorly, and (ii) entropic-regularized optima... | [
20393
] | Test |
16,588 | 25 | Title: LEAN: Light and Efficient Audio Classification Network
Abstract: Over the past few years, audio classification task on large-scale dataset such as AudioSet has been an important research area. Several deeper Convolution-based Neural networks have shown compelling performance notably Vggish, YAMNet, and Pretraine... | [] | Train |
16,589 | 24 | Title: Deep Learning for Mean Field Games with non-separable Hamiltonians
Abstract: This paper introduces a new method based on Deep Galerkin Methods (DGMs) for solving high-dimensional stochastic Mean Field Games (MFGs). We achieve this by using two neural networks to approximate the unknown solutions of the MFG syste... | [] | Train |
16,590 | 16 | Title: Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
Abstract: Consistency regularization and pseudo labeling-based semi-supervised methods perform co-training using the pseudo labels from multi-view inputs. However, such co-training models tend to converge early to a con... | [] | Validation |
16,591 | 6 | Title: ScatterShot: Interactive In-context Example Curation for Text Transformation
Abstract: The in-context learning capabilities of LLMs like GPT-3 allow annotators to customize an LLM to their specific tasks with a small number of examples. However, users tend to include only the most obvious patterns when crafting ... | [
3431
] | Test |
16,592 | 4 | Title: Dance of the DAOs: Building Data Assets as a Use Case
Abstract: Decentralised Autonomous Organisations (DAOs) have recently piqued the interest of participants from diverse backgrounds, including business owners, engineers, individual and institutional investors. In part, the promised autonomy (less rigid struct... | [] | Train |
16,593 | 16 | Title: AFPN: Asymptotic Feature Pyramid Network for Object Detection
Abstract: Multi-scale features are of great importance in encoding objects with scale variance in object detection tasks. A common strategy for multi-scale feature extraction is adopting the classic top-down and bottom-up feature pyramid networks. How... | [] | Test |
16,594 | 16 | Title: DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks
Abstract: Generating realistic talking faces is a complex and widely discussed task with numerous applications. In this paper, we present DiffTalker, a novel model designed to generate lifelike talking faces through audio an... | [
34800,
34074
] | Validation |
16,595 | 34 | Title: Ranked Enumeration of Minimal Separators
Abstract: Let $G$ be an undirected graph, and $s,t$ distinguished vertices of $G$. A minimal $s,t$-separator is an inclusion-wise minimal vertex-set whose removal places $s$ and $t$ in distinct connected components. We present an algorithm for listing the minimal $s,t$-se... | [] | Test |
16,596 | 16 | Title: Closed-Loop Transcription via Convolutional Sparse Coding
Abstract: Autoencoding has achieved great empirical success as a framework for learning generative models for natural images. Autoencoders often use generic deep networks as the encoder or decoder, which are difficult to interpret, and the learned represe... | [
33180,
43671
] | Validation |
16,597 | 18 | Title: Choose your tools carefully: a comparative evaluation of deterministic vs. stochastic and binary vs. analog neuron models for implementing emerging computing paradigms
Abstract: Neuromorphic computing, commonly understood as a computing approach built upon neurons, synapses, and their dynamics, as opposed to Boo... | [] | Train |
16,598 | 30 | Title: Zero-shot Temporal Relation Extraction with ChatGPT
Abstract: The goal of temporal relation extraction is to infer the temporal relation between two events in the document. Supervised models are dominant in this task. In this work, we investigate ChatGPT’s ability on zero-shot temporal relation extraction. We de... | [
36547,
13510,
24422,
6061,
44173,
44687,
33779,
31189,
26357,
35580,
44189,
8286
] | Train |
16,599 | 16 | Title: Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding
Abstract: Object proposal generation serves as a standard pre-processing step in Vision-Language (VL) tasks (image captioning, visual question answering, etc.). The performance of object proposals g... | [] | Train |
16,600 | 22 | Title: COOLIO: A Language Support Extension for the Classroom Object Oriented Language
Abstract: COOL is an Object-Oriented programming language used to teach compiler design in many undergraduate and graduate courses. Because most students are unfamiliar with the language and code editors and IDEs often lack the suppo... | [] | Train |
16,601 | 24 | Title: Is Self-Supervised Pretraining Good for Extrapolation in Molecular Property Prediction?
Abstract: The prediction of material properties plays a crucial role in the development and discovery of materials in diverse applications, such as batteries, semiconductors, catalysts, and pharmaceuticals. Recently, there ha... | [] | Train |
16,602 | 16 | Title: Masked Motion Predictors are Strong 3D Action Representation Learners
Abstract: In 3D human action recognition, limited supervised data makes it challenging to fully tap into the modeling potential of powerful networks such as transformers. As a result, researchers have been actively investigating effective self... | [] | Test |
16,603 | 36 | Title: Externalities in Chore Division
Abstract: The chore division problem simulates the fair division of a heterogeneous undesirable resource among several agents. In the fair division problem, each agent only gains value from its own piece. Agents may, however, also be concerned with the pieces given to other agents... | [] | Train |
16,604 | 16 | Title: Iterative Graph Filtering Network for 3D Human Pose Estimation
Abstract: Graph convolutional networks (GCNs) have proven to be an effective approach for 3D human pose estimation. By naturally modeling the skeleton structure of the human body as a graph, GCNs are able to capture the spatial relationships between ... | [] | Train |
16,605 | 37 | Title: GuP: Fast Subgraph Matching by Guard-based Pruning
Abstract: Subgraph matching, which finds subgraphs isomorphic to a query, is crucial for information retrieval from data represented as a graph. To avoid redundant explorations in the data, existing methods restrict the search space by extracting candidate verti... | [] | Train |
16,606 | 24 | Title: Multivariate Time Series Early Classification Across Channel and Time Dimensions
Abstract: Nowadays, the deployment of deep learning models on edge devices for addressing real-world classification problems is becoming more prevalent. Moreover, there is a growing popularity in the approach of early classification... | [] | Train |
16,607 | 16 | Title: A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play
Abstract: Research in child development has shown that embodied experience handling physical objects contributes to many cognitive abilities, including visual learning. One characteristic of such experience is that the learner... | [] | Train |
16,608 | 34 | Title: The Laplacian Paradigm in Deterministic Congested Clique
Abstract: In this paper, we bring the techniques of the Laplacian paradigm to the congested clique, while further restricting ourselves to deterministic algorithms. In particular, we show how to solve a Laplacian system up to precision $\epsilon$ in $n^{o(... | [] | Test |
16,609 | 24 | Title: Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Abstract: Modern machine learning increasingly supports paradigms that are multi-institutional (using data from multiple institutions during training) or cross-institutional (using models from m... | [] | Validation |
16,610 | 5 | Title: Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network
Abstract: Kubernetes (k8s) has the potential to coordinate distributed edge resources and centralized cloud resources, but currently lacks a specialized scheduling framework for edge-cloud networks. Besides, the hierarchical distr... | [] | Validation |
16,611 | 16 | Title: Visual Watermark Removal Based on Deep Learning
Abstract: In recent years as the internet age continues to grow, sharing images on social media has become a common occurrence. In certain cases, watermarks are used as protection for the ownership of the image, however, in more cases, one may wish to remove these ... | [] | Train |
16,612 | 30 | Title: How to Do Things with Deep Learning Code
Abstract: The premise of this article is that a basic understanding of the composition and functioning of large language models is critically urgent. To that end, we extract a representational map of OpenAI's GPT-2 with what we articulate as two classes of deep learning c... | [] | Test |
16,613 | 16 | Title: Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels
Abstract: Motion mode (M-mode) recording is an essential part of echocardiography to measure cardiac dimension and function. However, the current diagnosis cannot build an automatic scheme, as there are three... | [] | Validation |
16,614 | 24 | Title: Online Learning for the Random Feature Model in the Student-Teacher Framework
Abstract: Deep neural networks are widely used prediction algorithms whose performance often improves as the number of weights increases, leading to over-parametrization. We consider a two-layered neural network whose first layer is fr... | [] | Train |
16,615 | 6 | Title: Chatbots for Robotic Process Automation: Investigating Perceived Trust and User Satisfaction
Abstract: Driven by ongoing improvements in machine learning, chatbots have increasingly grown from experimental interface prototypes to reliable and robust tools for process automation. Building on these advances, compa... | [] | Test |
16,616 | 30 | Title: Paradigm Shift in Sustainability Disclosure Analysis: Empowering Stakeholders with CHATREPORT, a Language Model-Based Tool
Abstract: This paper introduces a novel approach to enhance Large Language Models (LLMs) with expert knowledge to automate the analysis of corporate sustainability reports by benchmarking th... | [
3609,
9595
] | Train |
16,617 | 34 | Title: International Competition on Graph Counting Algorithms 2023
Abstract: This paper reports on the details of the International Competition on Graph Counting Algorithms (ICGCA) held in 2023. The graph counting problem is to count the subgraphs satisfying specified constraints on a given graph. The problem belongs t... | [] | Validation |
16,618 | 30 | Title: Classifying COVID-19 Related Tweets for Fake News Detection and Sentiment Analysis with BERT-based Models
Abstract: The present paper is about the participation of our team "techno" on CERIST'22 shared tasks. We used an available dataset "task1.c" related to covid-19 pandemic. It comprises 4128 tweets for sentim... | [] | Validation |
16,619 | 24 | Title: Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
Abstract: High sample complexity has long been a challenge for RL. On the other hand, humans learn to perform tasks not only from interaction or demonstrations, but also by reading unstructured text documents, e.g., instructio... | [
29604,
28827,
5484,
8157
] | Train |
16,620 | 26 | Title: Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach
Abstract: Public opinion is a crucial factor in shaping political decision-making. Nowadays, social media has become an essential platform for individuals to engage in political discussions and ... | [] | Test |
16,621 | 16 | Title: Towards Top-Down Stereoscopic Image Quality Assessment via Stereo Attention
Abstract: Stereoscopic image quality assessment (SIQA) plays a crucial role in evaluating and improving the visual experience of 3D content. Existing binocular properties and attention-based methods for SIQA have achieved promising perfo... | [
33372
] | Train |
16,622 | 24 | Title: Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform
Abstract: Production deployments in complex systems require ML architectures to be highly efficient and usable against multiple tasks. Particularly demanding are classification problems in which data arri... | [] | Validation |
16,623 | 6 | Title: SpecTracle: Wearable Facial Motion Tracking from Unobtrusive Peripheral Cameras
Abstract: Facial motion tracking in head-mounted displays (HMD) has the potential to enable immersive"face-to-face"interaction in a virtual environment. However, current works on facial tracking are not suitable for unobtrusive augme... | [] | Train |
16,624 | 16 | Title: Generation and Recombination for Multifocus Image Fusion with Free Number of Inputs
Abstract: Multifocus image fusion is an effective way to overcome the limitation of optical lenses. Many existing methods obtain fused results by generating decision maps. However, such methods often assume that the focused areas... | [] | Test |
16,625 | 25 | Title: Transformer-based Sequence Labeling for Audio Classification based on MFCCs
Abstract: Audio classification is vital in areas such as speech and music recognition. Feature extraction from the audio signal, such as Mel-Spectrograms and MFCCs, is a critical step in audio classification. These features are transform... | [
24613
] | Test |
16,626 | 24 | Title: ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
Abstract: It is critical that the models pay attention not only to accuracy but also to the certainty of prediction. Uncertain predictions of deep models caused by noisy data raise significant concerns in trustworthy AI areas.... | [] | Train |
16,627 | 4 | Title: An Ethereum-based Product Identification System for Anti-counterfeits
Abstract: Fake products are items that are marketed and sold as genuine, high-quality products but are counterfeit or low-quality knockoffs. These products are often designed to closely mimic the appearance and branding of the genuine product ... | [] | Test |
16,628 | 30 | Title: How Good Are SOTA Fake News Detectors
Abstract: Automatic fake news detection with machine learning can prevent the dissemination of false statements before they gain many views. Several datasets labeling statements as legitimate or false have been created since the 2016 United States presidential election for t... | [
24475
] | Train |
16,629 | 6 | Title: A Visual Analytic Environment to Co-locate Peoples' Tweets with City Factual Data
Abstract: Social Media platforms (e.g., Twitter, Facebook, etc.) are used heavily by public to provide news, opinions, and reactions towards events or topics. Integrating such data with the event or topic factual data could provide... | [] | Validation |
16,630 | 24 | Title: Multiclass classification for multidimensional functional data through deep neural networks
Abstract: The intrinsically infinite-dimensional features of the functional observations over multidimensional domains render the standard classification methods effectively inapplicable. To address this problem, we intro... | [] | Train |
16,631 | 16 | Title: Bridging the Gap: Enhancing the Utility of Synthetic Data via Post-Processing Techniques
Abstract: Acquiring and annotating suitable datasets for training deep learning models is challenging. This often results in tedious and time-consuming efforts that can hinder research progress. However, generative models ha... | [] | Validation |
16,632 | 37 | Title: One Size Cannot Fit All: a Self-Adaptive Dispatcher for Skewed Hash Join in Shared-nothing RDBMSs
Abstract: Shared-nothing architecture has been widely adopted in various commercial distributed RDBMSs. Thanks to the architecture, query can be processed in parallel and accelerated by scaling up the cluster horizo... | [] | Train |
16,633 | 3 | Title: Identifying Different Student Clusters in Functional Programming Assignments: From Quick Learners to Struggling Students
Abstract: Instructors and students alike are often focused on the grade in programming assignments as a key measure of how well a student is mastering the material and whether a student is str... | [] | Test |
16,634 | 10 | Title: Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards
Abstract: Reinforcement learning is an effective way to solve the decision-making problems. It is a meaningful and valuable direction to investigate autonomous air combat maneuver decisio... | [] | Test |
16,635 | 24 | Title: Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
Abstract: Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical applications span fro... | [
27817,
7014,
2638
] | Train |
16,636 | 16 | Title: Ethnicity and Biometric Uniqueness: Iris Pattern Individuality in a West African Database
Abstract: We conducted more than 1.3 million comparisons of iris patterns encoded from images collected at two Nigerian universities, which constitute the newly available African Human Iris (AFHIRIS) database. The purpose w... | [
5795
] | Train |
16,637 | 16 | Title: BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation
Abstract: Current knowledge distillation approaches in semantic segmentation tend to adopt a holistic approach that treats all spatial locations equally. However, for dense prediction, students' predictions on edge regions are highly unce... | [
15642,
38924,
11270
] | Validation |
16,638 | 16 | Title: AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
Abstract: Learning based feature matching methods have been commonly studied in recent years. The core issue for learning feature matching is to how to learn (1) discriminative representations for feature points (or regions) within each intra... | [
38734
] | Train |
16,639 | 10 | Title: Flexible and Inherently Comprehensible Knowledge Representation for Data-Efficient Learning and Trustworthy Human-Machine Teaming in Manufacturing Environments
Abstract: Trustworthiness of artificially intelligent agents is vital for the acceptance of human-machine teaming in industrial manufacturing environment... | [] | Test |
16,640 | 27 | Title: eViper: A Scalable Platform for Untethered Modular Soft Robots
Abstract: Soft robots present unique capabilities, but have been limited by the lack of scalable technologies for construction and the complexity of algorithms for efficient control and motion, which depend on soft-body dynamics, high-dimensional act... | [] | Train |
16,641 | 18 | Title: Hybrid approach for solving real-world bin packing problem instances using quantum annealers
Abstract: nan | [
5981,
41942
] | Train |
16,642 | 9 | Title: Cutting Barnette graphs perfectly is hard
Abstract: A perfect matching cut is a perfect matching that is also a cutset, or equivalently a perfect matching containing an even number of edges on every cycle. The corresponding algorithmic problem, Perfect Matching Cut, is known to be NP-complete in subcubic biparti... | [] | Validation |
16,643 | 28 | Title: On the Channel Correlation in Reconfigurable Intelligent Surface-Aided System
Abstract: This works explores the correlation between channels in reconfigurable intelligent surface (RIS)-aided communication systems. In this type of system, an RIS made up of many passive elements with adjustable phases reflects the... | [] | Validation |
16,644 | 30 | Title: Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods
Abstract: Multiple-choice questions with item-writing flaws can negatively impact student learning and skew analytics. These flaws are often present in student-generated questions, making it difficult to assess their quality an... | [
39451
] | Train |
16,645 | 30 | Title: ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models
Abstract: Large language models (LLMs) have recently demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior. To further unleash the power of LLMs t... | [
27138,
13700,
33220,
22023,
10510,
9457,
3609,
634,
9403,
3967
] | Train |
16,646 | 31 | Title: Ranking the locations and predicting future crime occurrence by retrieving news from different Bangla online newspapers
Abstract: There have thousands of crimes are happening daily all around. But people keep statistics only few of them, therefore crime rates are increasing day by day. The reason behind can be l... | [] | Validation |
16,647 | 2 | Title: Multi-Agent Verification and Control with Probabilistic Model Checking
Abstract: Probabilistic model checking is a technique for formal automated reasoning about software or hardware systems that operate in the context of uncertainty or stochasticity. It builds upon ideas and techniques from a diverse range of f... | [] | Test |
16,648 | 8 | Title: Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks
Abstract: Botnet attacks are a major threat to networked systems because of their ability to turn the network nodes that they compromise into additional attackers, leading to the spread of high volume attacks over long per... | [] | Validation |
16,649 | 6 | Title: An Integrated Visual Analytics System for Studying Clinical Carotid Artery Plaques
Abstract: Carotid artery plaques can cause arterial vascular diseases such as stroke and myocardial infarction, posing a severe threat to human life. However, the current clinical examination mainly relies on a direct assessment b... | [] | Train |
16,650 | 16 | Title: Learning Navigational Visual Representations with Semantic Map Supervision
Abstract: Being able to perceive the semantics and the spatial structure of the environment is essential for visual navigation of a household robot. However, most existing works only employ visual backbones pre-trained either with indepen... | [
23168,
22077,
35005,
19719
] | Test |
16,651 | 30 | Title: The Poison of Alignment
Abstract: From the perspective of content safety issues, alignment has shown to limit large language models' (LLMs) harmful content generation. This intentional method of reinforcing models to not respond to certain user inputs seem to be present in many modern open-source instruction tun... | [
38080,
8673,
13700,
33220,
6797,
109,
2197,
5815,
6328,
25786
] | Test |
16,652 | 24 | Title: Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing
Abstract: An additive manufacturing (AM) process, like laser powder bed fusion, allows for the fabrication of objects by spreading and melting powder in layers until a freeform part shape is created.... | [] | Train |
16,653 | 4 | Title: OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy
Abstract: Tabular data sharing serves as a common method for data exchange. However, sharing sensitive information without adequate privacy protection can compromise individual privacy. Thus, ... | [] | Test |
16,654 | 5 | Title: An experience with PyCUDA: Refactoring an existing implementation of a ray-surface intersection algorithm
Abstract: This article is a sequel to"GPU implementation of a ray-surface intersection algorithm in CUDA"(arXiv:2209.02878) [1]. Its main focus is PyCUDA which represents a Python scripting approach to GPU r... | [] | Test |
16,655 | 8 | Title: Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches
Abstract: Advanced video technologies are driving the development of the futuristic Metaverse, which aims to connect users from anywhere and anytime. As such, the use cases for users will be much more diverse, leading ... | [] | Train |
16,656 | 16 | Title: Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction
Abstract: Adaptive radiotherapy is a growing field of study in cancer treatment due to it's objective in sparing healthy tissue. The standard of care in several institutions include... | [] | Train |
16,657 | 30 | Title: Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual Translation
Abstract: Neural machine translation (NMT) models often suffer from gender biases that harm users and society at large. In this work, we explore how bridging the gap between languages for ... | [] | Validation |
16,658 | 30 | Title: Empirical Analysis of Oral and Nasal Vowels of Konkani
Abstract: Konkani is a highly nasalised language which makes it unique among Indo-Aryan languages. This work investigates the acoustic-phonetic properties of Konkani oral and nasal vowels. For this study, speech samples from six speakers (3 male and 3 female... | [] | Train |
16,659 | 26 | Title: Discovering Image Usage Online: A Case Study With "Flatten the Curve"
Abstract: Understanding the spread of images across the web helps us understand the reuse of scientific visualizations and their relationship with the public. The"Flatten the Curve"graphic was heavily used during the COVID-19 pandemic to conve... | [] | Train |
16,660 | 24 | Title: HuCurl: Human-induced Curriculum Discovery
Abstract: We introduce the problem of curriculum discovery and describe a curriculum learning framework capable of discovering effective curricula in a curriculum space based on prior knowledge about sample difficulty. Using annotation entropy and loss as measures of di... | [] | Train |
16,661 | 16 | Title: Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image Scenes
Abstract: Zero-shot classification of image scenes which can recognize the image scenes that are not seen in the training stage holds great promise of lowering the dependence on larg... | [] | Train |
16,662 | 24 | Title: ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
Abstract: Post-training quantization (PTQ) has emerged as a promising technique for mitigating memory consumption and computational costs in large language models (LLMs). However, a systematic examination... | [
1345,
24994,
6979,
37732,
12851,
20467,
20223
] | Train |
16,663 | 23 | Title: LWS: A Framework for Log-based Workload Simulation in Session-based SUT
Abstract: Artificial intelligence for IT Operations (AIOps) plays a critical role in operating and managing cloud-native systems and microservice-based applications but is limited by the lack of high-quality datasets with diverse scenarios. ... | [] | Test |
16,664 | 24 | Title: Machine Learning Applications In Healthcare: The State Of Knowledge and Future Directions
Abstract: Detection of easily missed hidden patterns with fast processing power makes machine learning (ML) indispensable to today's healthcare system. Though many ML applications have already been discovered and many are s... | [
34729,
15996
] | Train |
16,665 | 16 | Title: Deep-Learning Framework for Optimal Selection of Soil Sampling Sites
Abstract: This work leverages the recent advancements of deep learning in image processing to find optimal locations that present the important characteristics of a field. The data for training are collected at different fields in local farms w... | [] | Validation |
16,666 | 2 | Title: Quantitative Safety and Liveness
Abstract: Safety and liveness are elementary concepts of computation, and the foundation of many verification paradigms. The safety-liveness classification of boolean properties characterizes whether a given property can be falsified by observing a finite prefix of an infinite co... | [
41434
] | Test |
16,667 | 24 | Title: Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
Abstract: In recent years, deep learning-based sequence modelings, such as language models, have received much attention and success, which pushes researchers to explore the possibility of transforming non-sequential problem... | [] | Train |
16,668 | 28 | Title: Information content and maximum entropy of compartmental systems in equilibrium
Abstract: Although compartmental dynamical systems are used in many different areas of science, model selection based on the maximum entropy principle (MaxEnt) is challenging because of the lack of methods for quantifying the entropy... | [] | Train |
16,669 | 4 | Title: Building cross-language corpora for human understanding of privacy policies
Abstract: Making sure that users understand privacy policies that impact them is a key challenge for a real GDPR deployment. Research studies are mostly carried in English, but in Europe and elsewhere, users speak a language that is not ... | [] | Train |
16,670 | 16 | Title: Pyramid Texture Filtering
Abstract: We present a simple but effective technique to smooth out textures while preserving the prominent structures. Our method is built upon a key observation---the coarsest level in a Gaussian pyramid often naturally eliminates textures and summarizes the main image structures. Thi... | [] | Train |
16,671 | 10 | Title: Multi-Target Tobit Models for Completing Water Quality Data
Abstract: Monitoring microbiological behaviors in water is crucial to manage public health risk from waterborne pathogens, although quantifying the concentrations of microbiological organisms in water is still challenging because concentrations of many ... | [] | Train |
16,672 | 24 | Title: Learning IMM Filter Parameters from Measurements using Gradient Descent
Abstract: The performance of data fusion and tracking algorithms often depends on parameters that not only describe the sensor system, but can also be task-specific. While for the sensor system tuning these variables is time-consuming and mo... | [] | Validation |
16,673 | 10 | Title: Analysis of business process automation as linear time-invariant system network
Abstract: In this work, we examined Business Process (BP) production as a signal; this novel approach explores a BP workflow as a linear time-invariant (LTI) system. We analysed BP productivity in the frequency domain; this standpoin... | [] | Validation |
16,674 | 24 | Title: Future-conditioned Unsupervised Pretraining for Decision Transformer
Abstract: Recent research in offline reinforcement learning (RL) has demonstrated that return-conditioned supervised learning is a powerful paradigm for decision-making problems. While promising, return conditioning is limited to training data ... | [] | Train |
16,675 | 28 | Title: Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping
Abstract: One of the key challenges towards the deployment of over-the-air federated learning (AirFL) is the design of mechanisms that can comply with the power and bandwidth constraints of the shared channel, while causing m... | [] | Validation |
16,676 | 30 | Title: Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings
Abstract: Recent advances in large language models elicit reasoning in a chain of thought that allows models to decompose problems in a human-like fashion. Though this paradigm improves multi-step reasoning ability in language models, it i... | [
15632,
42983,
5387,
35639
] | Test |
16,677 | 24 | Title: A deep complementary energy method for solid mechanics using minimum complementary energy principle
Abstract: In recent years, the rapid advancement of deep learning has significantly impacted various fields, particularly in solving partial differential equations (PDEs) in the realm of solid mechanics, benefitin... | [] | Train |
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