node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
32,278 | 11 | Title: Fine-Grained Complexity Analysis of Multi-Agent Path Finding on 2D Grids
Abstract: Multi-Agent Path Finding (MAPF) is a fundamental motion coordination problem arising in multi-agent systems with a wide range of applications.
The problem's intractability has led to extensive research on improving the scalability... | [
8592
] | Train |
32,279 | 24 | Title: BatchGFN: Generative Flow Networks for Batch Active Learning
Abstract: We introduce BatchGFN -- a novel approach for pool-based active learning that uses generative flow networks to sample sets of data points proportional to a batch reward. With an appropriate reward function to quantify the utility of acquiring... | [
43749,
29267,
15989
] | Train |
32,280 | 34 | Title: Meta-theorems for Parameterized Streaming Algorithms
Abstract: The streaming model was introduced to parameterized complexity independently by Fafianie and Kratsch [MFCS14] and by Chitnis, Cormode, Hajiaghayi and Monemizadeh [SODA15]. Subsequently, it was broadened by Chitnis, Cormode, Esfandiari, Hajiaghayi and... | [] | Train |
32,281 | 34 | Title: Exact and Heuristic Approaches to Speeding Up the MSM Time Series Distance Computation
Abstract: The computation of the distance of two time series is time-consuming for any elastic distance function that accounts for misalignments. Among those functions, DTW is the most prominent. However, a recent extensive ev... | [] | Test |
32,282 | 30 | Title: Prompting for Multimodal Hateful Meme Classification
Abstract: Hateful meme classification is a challenging multimodal task that requires complex reasoning and contextual background knowledge. Ideally, we could leverage an explicit external knowledge base to supplement contextual and cultural information in hate... | [
37410,
43267,
38765,
15955,
33461,
39257,
29854
] | Test |
32,283 | 24 | Title: Integration of Feature Selection Techniques using a Sleep Quality Dataset for Comparing Regression Algorithms
Abstract: This research aims to examine the usefulness of integrating various feature selection methods with regression algorithms for sleep quality prediction. A publicly accessible sleep quality datase... | [] | Test |
32,284 | 23 | Title: Multi-Modal Emotion Recognition for Enhanced Requirements Engineering: A Novel Approach
Abstract: Requirements engineering (RE) plays a crucial role in developing software systems by bridging the gap between stakeholders' needs and system specifications. However, effective communication and elicitation of stakeh... | [] | Train |
32,285 | 24 | Title: Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation
Abstract: FinTech lending (e.g., micro-lending) has played a significant role in facilitating financial inclusion. It has reduced processing times and costs, enhanced the user experience, and made it possible for people to obtain loans who ... | [
23355,
31020
] | Validation |
32,286 | 30 | Title: Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
Abstract: Various industries such as finance, meteorology, and energy generate vast amounts of heterogeneous data every day. There is a natural demand for humans to manage, process, and display data efficiently. However, it necessitates ... | [
867,
13700,
19747,
20070,
17255,
22148,
33220,
40518,
5522,
24308,
14966,
41336,
3609,
634,
33853,
6398
] | Test |
32,287 | 30 | Title: KNN-LM Does Not Improve Open-ended Text Generation
Abstract: In this paper, we study the generation quality of interpolation-based retrieval-augmented language models (LMs). These methods, best exemplified by the KNN-LM, interpolate the LM's predicted distribution of the next word with a distribution formed from... | [
34688,
230,
1009,
32213,
27669,
15004
] | Test |
32,288 | 27 | Title: LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
Abstract: As a crucial infrastructure of intelligent mobile robots, LiDAR-Inertial odometry (LIO) provides the basic capability of state estimation by tracking LiDAR scans. The high-accuracy tracking generally involves ... | [
21897
] | Train |
32,289 | 11 | Title: Reinforcement Learning With Reward Machines in Stochastic Games
Abstract: We investigate multi-agent reinforcement learning for stochastic games with complex tasks, where the reward functions are non-Markovian. We utilize reward machines to incorporate high-level knowledge of complex tasks. We develop an algorit... | [] | Train |
32,290 | 9 | Title: Picturing counting reductions with the ZH-calculus
Abstract: Counting the solutions to Boolean formulae defines the problem #SAT, which is complete for the complexity class #P. We use the ZH-calculus, a universal and complete graphical language for linear maps which naturally encodes counting problems in terms o... | [] | Test |
32,291 | 16 | Title: VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending
Abstract: Large-scale image-text contrastive pre-training models, such as CLIP, have been demonstrated to effectively learn high-quality multimodal representations. However, there is limited research on learning video-text representatio... | [
5361,
14086
] | Train |
32,292 | 6 | Title: 3D Printing Magnetophoretic Displays
Abstract: We present a pipeline for printing interactive and always-on magnetophoretic displays using affordable Fused Deposition Modeling (FDM) 3D printers. Using our pipeline, an end-user can convert the surface of a 3D shape into a matrix of voxels. The generated model can... | [] | Test |
32,293 | 16 | Title: Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Abstract: Point-cloud data collected in real-world applications are often incomplete. Data is typically missing due to objects being observed from partial viewpoints, which only capture a specific perspective or angle. Additionally, data can b... | [
680,
26625,
30566,
34167
] | Test |
32,294 | 16 | Title: Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
Abstract: Binarization of neural networks is a dominant paradigm in neural networks compression. The pioneering work BinaryConnect uses Straight Through Estimator (STE) to mimic the gradients of th... | [] | Validation |
32,295 | 37 | Title: Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables
Abstract: In this paper, we propose Multi-Modal Databases (MMDBs), which is a new class of database systems that can seamlessly query text and tables using SQL. To enable seamless querying of textual data using SQL in an MMDB, we propose to exte... | [] | Train |
32,296 | 24 | Title: Brain effective connectome based on fMRI and DTI data: Bayesian causal learning and assessment
Abstract: Neuroscientific studies aim to find an accurate and reliable brain Effective Connectome (EC). Although current EC discovery methods have contributed to our understanding of brain organization, their performan... | [] | Test |
32,297 | 16 | Title: Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation
Abstract: Vision transformers (ViTs) achieve remarkable performance on large datasets, but tend to perform worse than convolutional neural networks (CNNs) when trained from scratch on smaller datasets, possi... | [] | Train |
32,298 | 16 | Title: Additional Positive Enables Better Representation Learning for Medical Images
Abstract: This paper presents a new way to identify additional positive pairs for BYOL, a state-of-the-art (SOTA) self-supervised learning framework, to improve its representation learning ability. Unlike conventional BYOL which relies... | [] | Train |
32,299 | 24 | Title: Adversarial Model for Offline Reinforcement Learning
Abstract: We propose a novel model-based offline Reinforcement Learning (RL) framework, called Adversarial Model for Offline Reinforcement Learning (ARMOR), which can robustly learn policies to improve upon an arbitrary reference policy regardless of data cove... | [
22816,
17116,
5780,
25623
] | Train |
32,300 | 24 | Title: Towards Mitigating Architecture Overfitting in Dataset Distillation
Abstract: Dataset distillation methods have demonstrated remarkable performance for neural networks trained with very limited training data. However, a significant challenge arises in the form of architecture overfitting: the distilled training ... | [
105,
39628
] | Train |
32,301 | 24 | Title: Transformers for Capturing Multi-level Graph Structure using Hierarchical Distances
Abstract: Graph transformers need strong inductive biases to derive meaningful attention scores. Yet, current proposals rarely address methods capturing longer ranges, hierarchical structures, or community structures, as they app... | [
45891,
44836,
4486,
8660,
18297,
28030
] | Train |
32,302 | 37 | Title: REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines
Abstract: Nowadays, machine learning (ML) plays a vital role in many aspects of our daily life. In essence, building well-performing ML applications requires the provision of high-quality data throughout the entire life-cycle of ... | [
11785,
7351
] | Train |
32,303 | 23 | Title: Software engineering to sustain a high-performance computing scientific application: QMCPACK
Abstract: We provide an overview of the software engineering efforts and their impact in QMCPACK, a production-level ab-initio Quantum Monte Carlo open-source code targeting high-performance computing (HPC) systems. Aspe... | [] | Validation |
32,304 | 16 | Title: Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
Abstract: In real-world scenarios, typical visual recognition systems could fail under two major causes, i.e., the misclassification between known classes and the excusable misbehavior on unknown-class images. To tackle these deficienc... | [] | Train |
32,305 | 30 | Title: Revealing the structure of language model capabilities
Abstract: Building a theoretical understanding of the capabilities of large language models (LLMs) is vital for our ability to predict and explain the behavior of these systems. Here, we investigate the structure of LLM capabilities by extracting latent capa... | [
40192,
13700
] | Test |
32,306 | 28 | Title: Groups of linear isometries on weighted poset block spaces
Abstract: In this paper, we introduce a new family of metrics, weighted poset block metric, that combine the weighted coordinates poset metric introduced by Panek et al. [(\ref{panek})] and the metric for linear error-block codes introduced by Feng et al... | [] | Train |
32,307 | 24 | Title: Reinforcement Learning-Based Black-Box Model Inversion Attacks
Abstract: Model inversion attacks are a type of privacy attack that reconstructs private data used to train a machine learning model, solely by accessing the model. Recently, white-box model inversion attacks leveraging Generative Adversarial Network... | [
25990
] | Validation |
32,308 | 24 | Title: DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets
Abstract: Microstructure reconstruction is an important and emerging field of research and an essential foundation to improving inverse computational materials engineering (ICME). Much of the recent progr... | [] | Test |
32,309 | 30 | Title: From 'Snippet-lects' to Doculects and Dialects: Leveraging Neural Representations of Speech for Placing Audio Signals in a Language Landscape
Abstract: XLSR-53 a multilingual model of speech, builds a vector representation from audio, which allows for a range of computational treatments. The experiments reported... | [
38849,
38338
] | Validation |
32,310 | 3 | Title: Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings
Abstract: Foundation models could eventually introduce several pathways for undermining state security: accidents, inadvertent escalation, unintentional conflict, the proliferation of weapons, and the interference with human diplomacy... | [
497,
1917,
14353
] | Train |
32,311 | 27 | Title: Object-Centric Scene Representations using Active Inference
Abstract: Representing a scene and its constituent objects from raw sensory data is a core ability for enabling robots to interact with their environment. In this paper, we propose a novel approach for scene understanding, leveraging a hierarchical obje... | [] | Train |
32,312 | 16 | Title: Infinite Class Mixup
Abstract: Mixup is a widely adopted strategy for training deep networks, where additional samples are augmented by interpolating inputs and labels of training pairs. Mixup has shown to improve classification performance, network calibration, and out-of-distribution generalisation. While effe... | [] | Train |
32,313 | 16 | Title: A Comparative Assessment of Multi-view fusion learning for Crop Classification
Abstract: With a rapidly increasing amount and diversity of remote sensing (RS) data sources, there is a strong need for multi-view learning modeling. This is a complex task when considering the differences in resolution, magnitude, a... | [] | Train |
32,314 | 16 | Title: Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models
Abstract: Color plays an important role in human visual perception, reflecting the spectrum of objects. However, the existing infrared and visible image fusion methods rarely explore how to handle multi-spectral/ch... | [
43976,
22809,
42100,
30893
] | Test |
32,315 | 13 | Title: A Genetic Algorithm Meta-Heuristic for a Generalized Quadratic Assignment Problem
Abstract: The generalized quadratic assignment problem (GQAP) is one of the hardest problems to solve in the operations research area. The GQAP addressed in this work is defined as the task of minimizing the assignment and transpor... | [] | Test |
32,316 | 27 | Title: AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments
Abstract: This paper presents a scalable online algorithm to generate safe and kinematically feasible trajectories for quadrotor swarms. Existing approaches rely on linearizing Euclidean distance-... | [] | Train |
32,317 | 16 | Title: DwinFormer: Dual Window Transformers for End-to-End Monocular Depth Estimation
Abstract: Depth estimation using monocular vision sensors is crucial in computer vision, with diverse applications ranging from autonomous driving to robot motion. Conventional methods suffer from the trade-off between consistency and... | [
5997
] | Train |
32,318 | 24 | Title: The Importance of Robust Features in Mitigating Catastrophic Forgetting
Abstract: Continual learning (CL) is an approach to address catastrophic forgetting, which refers to forgetting previously learned knowledge by neural networks when trained on new tasks or data distributions. The adversarial robustness has d... | [
16933,
35535
] | Train |
32,319 | 30 | Title: Trapping LLM Hallucinations Using Tagged Context Prompts
Abstract: Recent advances in large language models (LLMs), such as ChatGPT, have led to highly sophisticated conversation agents. However, these models suffer from"hallucinations,"where the model generates false or fabricated information. Addressing this c... | [
27880,
44173,
27440,
37360,
18777,
35580
] | Test |
32,320 | 6 | Title: AI-in-the-Loop - The impact of HMI in AI-based Application
Abstract: Artificial intelligence (AI) and human-machine interaction (HMI) are two keywords that usually do not fit embedded applications. Within the steps needed before applying AI to solve a specific task, HMI is usually missing during the AI architect... | [
36585,
39628
] | Test |
32,321 | 34 | Title: Improved Competitive Ratios for Online Bipartite Matching on Degree Bounded Graphs
Abstract: We consider the online bipartite matching problem on $(k,d)$-bounded graphs, where each online vertex has at most $d$ neighbors, each offline vertex has at least $k$ neighbors, and $k\geq d\geq 2$. The model of $(k,d)$-b... | [] | Train |
32,322 | 3 | Title: Regulating AI manipulation: Applying Insights from behavioral economics and psychology to enhance the practicality of the EU AI Act
Abstract: The EU AI Act Article 5 is designed to regulate AI manipulation to prevent potential harmful consequences. However, the practical implementation of this legislation is cha... | [] | Train |
32,323 | 16 | Title: Multi-task convolutional neural network for image aesthetic assessment
Abstract: As people's aesthetic preferences for images are far from understood, image aesthetic assessment is a challenging artificial intelligence task. The range of factors underlying this task is almost unlimited, but we know that some aes... | [] | Train |
32,324 | 16 | Title: Universal Domain Adaptation via Compressive Attention Matching
Abstract: Universal domain adaptation (UniDA) aims to transfer knowledge from the source domain to the target domain without any prior knowledge about the label set. The challenge lies in how to determine whether the target samples belong to common c... | [
14560,
12108,
40466,
44985,
2746
] | Test |
32,325 | 5 | Title: Concurrent Deterministic Skiplist and Other Data Structures
Abstract: Skiplists are used in a variety of applications for storing data subject to order criteria. In this article we discuss the design, analysis and performance of a concurrent deterministic skip list on many-core NUMA nodes. We also evaluate the p... | [] | Test |
32,326 | 4 | Title: An Asynchronous and Low-Power True Random Number Generator Using STT-MTJ
Abstract: The emerging spin-transfer torque magnetic tunnel junction (STT-MTJ) technology exhibits interesting stochastic behavior combined with small area and low operation energy. It is, therefore, a promising technology for security appl... | [
19699
] | Train |
32,327 | 26 | Title: Quantifying the Influence of User Behaviors on the Dissemination of Fake News on Twitter with Multivariate Hawkes Processes
Abstract: Fake news has emerged as a pervasive problem within Online Social Networks, leading to a surge of research interest in this area. Understanding the dissemination mechanisms of fak... | [] | Train |
32,328 | 24 | Title: Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
Abstract: Deep neural networks achieve superior performance for learning from independent and identically distributed (i.i.d.) data. However, their performance deteriorates significantly when handling out-of-distribution (OoD) d... | [] | Train |
32,329 | 16 | Title: Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Abstract: Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen objects, is a promising learning paradigm to understand new real-world knowledge for machines continuously. Recently, the Knowledge Graph (KG) has bee... | [] | Test |
32,330 | 27 | Title: Progress Towards Untethered Autonomous Flight of Northeastern University Aerobat
Abstract: State estimation and control is a well-studied problem in conventional aerial vehicles such as multi-rotors. But multi-rotors, while versatile, are not suitable for all applications. Due to turbulent airflow from ground ef... | [] | Train |
32,331 | 28 | Title: A Tractable Statistical Representation of IFTR Fading with Applications
Abstract: The recently introduced independent fluctuating two-ray (IFTR) fading model, consisting of two specular components fluctuating independently plus a diffuse component, has proven to provide an excellent fit to different wireless env... | [] | Validation |
32,332 | 24 | Title: Explainable Deep Reinforcement Learning: State of the Art and Challenges
Abstract: Interpretability, explainability, and transparency are key issues to introducing artificial intelligence methods in many critical domains. This is important due to ethical concerns and trust issues strongly connected to reliabilit... | [
21129,
16436,
12278
] | Train |
32,333 | 24 | Title: Salient Conditional Diffusion for Defending Against Backdoor Attacks
Abstract: We propose a novel algorithm, Salient Conditional Diffusion (Sancdifi), a state-of-the-art defense against backdoor attacks. Sancdifi uses a denoising diffusion probabilistic model (DDPM) to degrade an image with noise and then recove... | [
31936,
28441,
1965
] | Train |
32,334 | 28 | Title: Cache-Aided K-User Broadcast Channels with State Information at Receivers
Abstract: We study a $K$-user coded-caching broadcast problem in a joint source-channel coding framework. The transmitter observes a database of files that are being generated at a certain rate per channel use, and each user has a cache, w... | [] | Train |
32,335 | 30 | Title: Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking
Abstract: Chinese geographic re-ranking task aims to find the most relevant addresses among retrieved candidates, which is crucial for location-related services such as navigation maps. Unlike the general sentences, geographic c... | [] | Validation |
32,336 | 6 | Title: Multimodal Group Activity Dataset for Classroom Engagement Level Prediction
Abstract: We collected a new dataset that includes approximately eight hours of audiovisual recordings of a group of students and their self-evaluation scores for classroom engagement. The dataset and data analysis scripts are available ... | [
16916
] | Test |
32,337 | 5 | Title: Ethereum's Proposer-Builder Separation: Promises and Realities
Abstract: With Ethereum's transition from Proof-of-Work to Proof-of-Stake in September 2022 came another paradigm shift, the Proposer-Builder Separation (PBS) scheme. PBS was introduced to decouple the roles of selecting and ordering transactions in ... | [
36616,
33089,
32578,
22655
] | Train |
32,338 | 28 | Title: Formation-of-Arrays Antenna Technology for High-Throughput Mobile Non-Terrestrial Networks
Abstract: Effective integration of terrestrial and non-terrestrial segments is one of the key research avenues in the design of current and future wireless communication networks. To this aim, modern communication-satellit... | [
30161
] | Validation |
32,339 | 27 | Title: Prepare the Chair for the Bear! Robot Imagination of Sitting Affordance to Reorient Previously Unseen Chairs
Abstract: In this letter, a paradigm for the classification and manipulation of novel objects is established and demonstrated with the example of chairs. Our approach leverages the robot's understanding o... | [] | Train |
32,340 | 16 | Title: Analysis of Tomographic Reconstruction of 2D Images using the Distribution of Unknown Projection Angles
Abstract: It is well known that a band-limited signal can be reconstructed from its uniformly spaced samples if the sampling rate is sufficiently high. More recently, it has been proved that one can reconstruc... | [] | Test |
32,341 | 6 | Title: A new computational perceived risk model for automated vehicles based on potential collision avoidance difficulty (PCAD)
Abstract: Perceived risk is crucial in designing trustworthy and acceptable vehicle automation systems. However, our understanding of its dynamics is limited, and models for perceived risk dyn... | [] | Validation |
32,342 | 27 | Title: A Homotopy Invariant Based on Convex Dissection Topology and a Distance Optimal Path Planning Algorithm
Abstract: The concept of path homotopy has received widely attention in the field of path planning in recent years. In this article, a homotopy invariant based on convex dissection for a two-dimensional bounde... | [] | Train |
32,343 | 16 | Title: LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Abstract: We propose an automated algorithm to stress-test a trained visual model by generating language-guided counterfactual test images (LANCE). Our method leverages recent progress in large language modeling and text-base... | [
10624,
13700,
9065,
38927,
7219,
25400,
19066,
541,
37887
] | Validation |
32,344 | 16 | Title: Crop Identification Using Deep Learning on LUCAS Crop Cover Photos
Abstract: Massive and high-quality in situ data are essential for Earth-observation-based agricultural monitoring. However, field surveying requires considerable organizational effort and money. Using computer vision to recognize crop types on ge... | [] | Train |
32,345 | 24 | Title: A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control
Abstract: Reinforcement learning (RL) is a promising approach for optimizing HVAC control. RL offers a framework for improving system performance, reducing energy consumption, and enhancing cost efficiency. We benchmark two popula... | [] | Test |
32,346 | 24 | Title: Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation
Abstract: To further preserve model weight privacy and improve model performance in Federated Learning (FL), FL via Over-the-Air Computation (AirComp) scheme based on dynamic power control is proposed. The edge device... | [] | Train |
32,347 | 16 | Title: Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
Abstract: Generalized zero-shot learning (GZSL) is a technique to train a deep learning model to identify unseen classes using the image attribute. In this paper, we put forth a new GZSL approach exploiting Vision Transformer (ViT) to... | [] | Train |
32,348 | 25 | Title: Improved DeepFake Detection Using Whisper Features
Abstract: With a recent influx of voice generation methods, the threat introduced by audio DeepFake (DF) is ever-increasing. Several different detection methods have been presented as a countermeasure. Many methods are based on so-called front-ends, which, by tr... | [] | Validation |
32,349 | 34 | Title: Shorter and faster than Sort3AlphaDev
Abstract: Arising from: Mankowitz, D.J., Michi, A., Zhernov, A. et al. Faster sorting algorithms discovered using deep reinforcement learning.Nature 618, 257-263 (2023). doi.org/10.1038/s41586-023-06004-9. The article cited above presents new implementations of sorting algor... | [] | Train |
32,350 | 30 | Title: Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus
Abstract: We present the call for papers for the BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. This shared task is intended for participants with an interest in small ... | [
2122,
1872,
33363,
35955,
37209,
13406,
21375
] | Train |
32,351 | 16 | Title: Detecting Adversarial Faces Using Only Real Face Self-Perturbations
Abstract: Adversarial attacks aim to disturb the functionality of a target system by adding specific noise to the input samples, bringing potential threats to security and robustness when applied to facial recognition systems. Although existing ... | [] | Validation |
32,352 | 6 | Title: An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility
Abstract: With the recent rapid rise in Generative Artificial Intelligence (GAI) tools, it is imperative that we understand their impact on people with disabilities, both positive and negative. However, although we k... | [
27232,
14569,
5738,
30026,
3151,
45174,
22334
] | Validation |
32,353 | 24 | Title: A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
Abstract: Federated learning (FL) facilitates collaborative learning among multiple clients in a distributed manner, while ensuring privacy protection. However, its performance is inevitably degraded as suffering data heterogeneity, i.... | [
25864,
25387
] | Train |
32,354 | 8 | Title: Practical Sliding Window Recoder: Design, Analysis, and Usecases
Abstract: Network coding has been widely used as a technology to ensure efficient and reliable communication. The ability to recode packets at the intermediate nodes is a major benefit of network coding implementations. This allows the intermediate... | [] | Train |
32,355 | 16 | Title: Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario
Abstract: In this paper, we tackle the problem of Egocentric Human-Object Interaction (EHOI) detection in an industrial setting. To overcome the lack of public datasets in this context, we propose a p... | [
40281,
16778,
8854
] | Test |
32,356 | 16 | Title: Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations
Abstract: The abundance of instructional videos and their narrations over the Internet offers an exciting avenue for understanding procedural activities. In this work, we propose to learn video representation that encode... | [
25097,
33255,
999
] | Validation |
32,357 | 31 | Title: Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network
Abstract: nan | [] | Train |
32,358 | 16 | Title: Learning and Aggregating Lane Graphs for Urban Automated Driving
Abstract: Lane graph estimation is an essential and highly challenging task in automated driving and HD map learning. Existing methods using either onboard or aerial imagery struggle with complex lane topologies, out-oj-distribution scenar-ios, or ... | [
42746,
18283,
28500,
45267
] | Test |
32,359 | 10 | Title: PN-OWL: A Two Stage Algorithm to Learn Fuzzy Concept Inclusions from OWL Ontologies
Abstract: OWL ontologies are a quite popular way to describe structured knowledge in terms of classes, relations among classes and class instances. In this paper, given a target class T of an OWL ontology, with a focus on ontolog... | [
25886
] | Test |
32,360 | 36 | Title: An Isotonic Mechanism for Overlapping Ownership
Abstract: This paper extends the Isotonic Mechanism from the single-owner to multi-owner settings, in an effort to make it applicable to peer review where a paper often has multiple authors. Our approach starts by partitioning all submissions of a machine learning ... | [] | Train |
32,361 | 16 | Title: Scene Matters: Model-based Deep Video Compression
Abstract: Video compression has always been a popular research area, where many traditional and deep video compression methods have been proposed. These methods typically rely on signal prediction theory to enhance compression performance by designing high effici... | [] | Train |
32,362 | 2 | Title: A Kripke Semantics for Hajek's BL
Abstract: We provide a generalisation of Kripke semantics for Petr Hajek's Basic Logic and prove soundness and completeness of the same with respect to our semantics. We find this semantics easily specialises to the linearly-ordered Kripke frames for Godel-Dummett logic, which B... | [] | Train |
32,363 | 16 | Title: Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
Abstract: In this paper, we focus on addressing the open-set face identification problem on a few-shot gallery by finetuning. The problem assumes a realistic scenario for face identification, where only a small number of face images is given for enr... | [] | Validation |
32,364 | 37 | Title: Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision]
Abstract: Large Language Models (LLMs) have demonstrated extraordinary performance across a broad array of applications, from traditional language processing tasks to interpreting structured sequences like time-series... | [
13840,
15841,
10783
] | Train |
32,365 | 16 | Title: Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators
Abstract: In recent years, large convolutional neural networks have been widely used as tools for image deblurring, because of their ability in restoring images very precisely. It is well known that image deblurring is mathematicall... | [] | Train |
32,366 | 22 | Title: AMULET: Adaptive Matrix-Multiplication-Like Tasks
Abstract: Many useful tasks in data science and machine learning applications can be written as simple variations of matrix multiplication. However, users have difficulty performing such tasks as existing matrix/vector libraries support only a limited class of co... | [] | Train |
32,367 | 24 | Title: ResDTA: Predicting Drug-Target Binding Affinity Using Residual Skip Connections
Abstract: The discovery of novel drug target (DT) interactions is an important step in the drug development process. The majority of computer techniques for predicting DT interactions have focused on binary classification, with the g... | [] | Test |
32,368 | 13 | Title: Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems
Abstract: Recent animal studies have shown that biological brains can enter a low power mode in times of food scarcity. This paper explores the possibility of applying similar mechanisms to a broad class of neuromorphic sys... | [] | Train |
32,369 | 14 | Title: A Direttissimo Algorithm for Equidimensional Decomposition
Abstract: We describe a recursive algorithm that decomposes an algebraic set into locally closed equidimensional sets, i.e. sets which each have irreducible components of the same dimension. At the core of this algorithm, we combine ideas from the theory... | [] | Test |
32,370 | 5 | Title: A visão da BBChain sobre o contexto tecnológico subjacente à adoção do Real Digital
Abstract: We explore confidential computing in the context of CBDCs using Microsoft's CCF framework as an example. By developing an experiment and comparing different approaches and performance and security metrics, we seek to ev... | [] | Test |
32,371 | 30 | Title: The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling
Abstract: Incremental dialogue model components produce a sequence of output prefixes based on incoming input. Mistakes can occur due to local ambiguities or to wrong hypoth... | [
24721,
6150,
40311
] | Test |
32,372 | 30 | Title: Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models
Abstract: Readability metrics and standards such as Flesch Kincaid Grade Level (FKGL) and the Common European Framework of Reference for Languages (CEFR) exist to guide teachers and educators to properly assess the c... | [
12128,
34208,
5346,
13700,
35556,
26357,
43641,
43930,
35580,
11262,
29375
] | Validation |
32,373 | 3 | Title: A Data Mining Approach for Detecting Collusion in Unproctored Online Exams
Abstract: Due to the precautionary measures during the COVID-19 pandemic many universities offered unproctored take-home exams. We propose methods to detect potential collusion between students and apply our approach on event log data fro... | [] | Train |
32,374 | 24 | Title: Stationary Point Losses for Robust Model
Abstract: The inability to guarantee robustness is one of the major obstacles to the application of deep learning models in security-demanding domains. We identify that the most commonly used cross-entropy (CE) loss does not guarantee robust boundary for neural networks. ... | [] | Test |
32,375 | 16 | Title: CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network
Abstract: Nowadays, Coronavirus disease (COVID-19) has become a global pandemic because of its fast spread in vari-ous countries. To build an anti-epidemic barrier, self-isolation is required for people who have been t... | [] | Test |
32,376 | 16 | Title: Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
Abstract: Semantic segmentation is an important technique for environment perception in intelligent transportation systems. With the rapid development of convolutional neural networks (CNNs), road scene ... | [
45815
] | Train |
32,377 | 16 | Title: SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
Abstract: We live in an era of data floods, and deep neural networks play a pivotal role in this moment. Natural data inherently exhibits several challenges such as long-tailed distribution and model fairness, where data imbalance is at the center of ... | [
31243,
12764,
2828
] | Test |
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