node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
24,278 | 5 | Title: Optimal Flexible Consensus and its Application to Ethereum
Abstract: Classic BFT consensus protocols guarantee safety and liveness for all clients if fewer than one-third of replicas are faulty. However, in applications such as high-value payments, some clients may want to prioritize safety over liveness. Flexib... | [
30120,
42421
] | Train |
24,279 | 31 | Title: Explainable Recommender with Geometric Information Bottleneck
Abstract: Explainable recommender systems can explain their recommendation decisions, enhancing user trust in the systems. Most explainable recommender systems either rely on human-annotated rationales to train models for explanation generation or lev... | [] | Train |
24,280 | 23 | Title: Do Subjectivity and Objectivity Always Agreeƒ A Case Study with Stack Overflow Questions
Abstract: In Stack Overflow (SO), the quality of posts (i.e., questions and answers) is subjectively evaluated by users through a voting mechanism. The net votes (upvotes − downvotes) obtained by a post are often considered ... | [] | Train |
24,281 | 5 | Title: DAG-based Task Orchestration for Edge Computing
Abstract: Edge computing promises to exploit underlying computation resources closer to users to help run latency-sensitive applications such as augmented reality and video analytics. However, one key missing piece has been how to incorporate personally owned, unma... | [
4656
] | Train |
24,282 | 23 | Title: Impact of Log Parsing on Log-based Anomaly Detection
Abstract: Software systems log massive amounts of data, recording important runtime information. Such logs are used, for example, for log-based anomaly detection, which aims to automatically detect abnormal behaviors of the system under analysis by processing ... | [
29465
] | Train |
24,283 | 24 | Title: Pseudo Labels for Single Positive Multi-Label Learning
Abstract: The cost of data annotation is a substantial impediment for multi-label image classification: in every image, every category must be labeled as present or absent. Single positive multi-label (SPML) learning is a cost-effective solution, where model... | [] | Train |
24,284 | 30 | Title: Textbooks Are All You Need II: phi-1.5 technical report
Abstract: We continue the investigation into the power of smaller Transformer-based language models as initiated by \textbf{TinyStories} -- a 10 million parameter model that can produce coherent English -- and the follow-up work on \textbf{phi-1}, a 1.3 bil... | [
13700,
13510,
8106,
109,
17517,
28270,
12753,
17076,
9403
] | Train |
24,285 | 27 | Title: Parallel Self-assembly for a Multi-USV System on Water Surface with Obstacles
Abstract: Parallel self-assembly is an efficient approach to accelerate the assembly process for modular robots. However, these approaches cannot accommodate complicated environments with obstacles, which restricts their applications. ... | [] | Train |
24,286 | 24 | Title: Dink-Net: Neural Clustering on Large Graphs
Abstract: Deep graph clustering, which aims to group the nodes of a graph into disjoint clusters with deep neural networks, has achieved promising progress in recent years. However, the existing methods fail to scale to the large graph with million nodes. To solve this... | [
931,
44836,
26373,
1130,
11355,
31277,
34063,
26064,
9491,
44051,
45942,
187
] | Train |
24,287 | 28 | Title: Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems
Abstract: As one of the core technologies for 5G systems, massive multiple-input multiple-output (MIMO) introduces dramatic capacity improvements along with very high beamforming and spatial multiplexing gains. When developing e... | [] | Test |
24,288 | 16 | Title: VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouette
Abstract: This paper presents a novel approach for visible-thermal infrared stereoscopy, focusing on the estimation of disparities of human silhouettes. Visible-thermal infrared stereo poses several challenges, including occlusio... | [] | Train |
24,289 | 26 | Title: Sub-Standards and Mal-Practices: Misinformation's Role in Insular, Polarized, and Toxic Interactions
Abstract: How do users and communities respond to news from unreliable sources? How does news from these sources change online conversations? In this work, we examine the role of misinformation in sparking politi... | [
38299
] | Train |
24,290 | 3 | Title: Platform-independent and curriculum-oriented intelligent assistant for higher education
Abstract: nan | [
12487,
8591
] | Train |
24,291 | 16 | Title: Unbiased Scene Graph Generation via Two-Stage Causal Modeling
Abstract: Despite the impressive performance of recent unbiased Scene Graph Generation (SGG) methods, the current debiasing literature mainly focuses on the long-tailed distribution problem, whereas it overlooks another source of bias, i.e., semantic ... | [
33523
] | Train |
24,292 | 16 | Title: Generative Plug and Play: Posterior Sampling for Inverse Problems
Abstract: Over the past decade, Plug-and-Play (PnP) has become a popular method for reconstructing images using a modular framework consisting of a forward and prior model. The great strength of PnP is that an image denoiser can be used as a prior... | [
38916
] | Validation |
24,293 | 17 | Title: Semi-sparsity on Piecewise Constant Function Spaces for Triangular Mesh Denoising
Abstract: We present a semi-sparsity model for 3D triangular mesh denoising, which is motivated by the success of semi-sparsity regularization in image processing applications. We demonstrate that such a regularization model can be... | [] | Train |
24,294 | 24 | Title: REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers
Abstract: Tabular data is a common form of organizing data. Multiple models are available to generate synthetic tabular datasets where observations are independent, but few have the ability to produce relational datasets. Modeling... | [
256,
45104,
12478
] | Test |
24,295 | 30 | Title: Meta-review Generation with Checklist-guided Iterative Introspection
Abstract: Opinions in the scientific domain can be divergent, leading to controversy or consensus among reviewers. However, current opinion summarization datasets mostly focus on product review domains, which do not account for this variability... | [
38208,
39451,
17789,
24479
] | Validation |
24,296 | 4 | Title: Adversarial Attack Based on Prediction-Correction
Abstract: Deep neural networks (DNNs) are vulnerable to adversarial examples obtained by adding small perturbations to original examples. The added perturbations in existing attacks are mainly determined by the gradient of the loss function with respect to the in... | [] | Validation |
24,297 | 4 | Title: SePEnTra: A secure and privacy-preserving energy trading mechanisms in transactive energy market
Abstract: In this paper, we design and present a novel model called SePEnTra to ensure the security and privacy of energy data while sharing with other entities during energy trading to determine optimal price signal... | [] | Test |
24,298 | 10 | Title: Intention-Aware Decision-Making for Mixed Intersection Scenarios
Abstract: This paper presents a white-box intention-aware decision-making for the handling of interactions between a pedestrian and an automated vehicle (AV) in an unsignalized street crossing scenario. Moreover, a design framework has been develop... | [] | Test |
24,299 | 24 | Title: Federated Empirical Risk Minimization via Second-Order Method
Abstract: Many convex optimization problems with important applications in machine learning are formulated as empirical risk minimization (ERM). There are several examples: linear and logistic regression, LASSO, kernel regression, quantile regression,... | [
19648,
34404,
12966,
29867,
13100,
4909,
40301,
29739,
8436,
39573,
7767,
12825,
24635
] | Test |
24,300 | 16 | Title: Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
Abstract: Most previous co-salient object detection works mainly focus on extracting co-salient cues via mining the consistency relations across images while ignore explicit exploration of background regions. In this pap... | [
26714,
12924,
11015
] | Test |
24,301 | 4 | Title: Generalized Attacks on Face Verification Systems
Abstract: Face verification (FV) using deep neural network models has made tremendous progress in recent years, surpassing human accuracy and seeing deployment in various applications such as border control and smartphone unlocking. However, FV systems are vulnera... | [] | Train |
24,302 | 30 | Title: Optimizing Readability Using Genetic Algorithms
Abstract: This research presents ORUGA, a method that tries to automatically optimize the readability of any text in English. The core idea behind the method is that certain factors affect the readability of a text, some of which are quantifiable (number of words, ... | [
15079
] | Train |
24,303 | 24 | Title: Development of a Knowledge Graph Embeddings Model for Pain
Abstract: Pain is a complex concept that can interconnect with other concepts such as a disorder that might cause pain, a medication that might relieve pain, and so on. To fully understand the context of pain experienced by either an individual or across... | [] | Train |
24,304 | 24 | Title: Datasheets for Machine Learning Sensors
Abstract: Machine learning (ML) sensors offer a new paradigm for sensing that enables intelligence at the edge while empowering end-users with greater control of their data. As these ML sensors play a crucial role in the development of intelligent devices, clear documentat... | [
31290
] | Validation |
24,305 | 24 | Title: Dynamic Transfer Learning across Graphs
Abstract: Transferring knowledge across graphs plays a pivotal role in many high-stake domains, ranging from transportation networks to e-commerce networks, from neuroscience to finance. To date, the vast majority of existing works assume both source and target domains are... | [] | Train |
24,306 | 16 | Title: Self-supervised Landmark Learning with Deformation Reconstruction and Cross-subject Consistency Objectives
Abstract: A Point Distribution Model (PDM) is the basis of a Statistical Shape Model (SSM) that relies on a set of landmark points to represent a shape and characterize the shape variation. In this work, we... | [] | Train |
24,307 | 24 | Title: Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
Abstract: Humans performing tasks that involve taking a series of multiple dependent actions over time often learn from experience by reflecting on specific cases and points in time, where different actions could have led to significant... | [] | Validation |
24,308 | 24 | Title: BloombergGPT: A Large Language Model for Finance
Abstract: The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Large Language Models (LLMs) have been shown to be effective on a variety of t... | [
4610,
34178,
13700,
13189,
397,
24718,
33806,
23826,
37397,
24087,
31895,
11545,
3740,
19485,
42908,
44445,
36252,
32286,
44323,
28580,
31397,
33830,
26792,
16302,
9775,
19758,
42417,
19378,
10163,
32176,
6453,
36149,
38199,
4537,
21562,
35388,
... | Train |
24,309 | 11 | Title: Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism
Abstract: Communication can impressively improve cooperation in multi-agent reinforcement learning (MARL), especially for partially-observed tasks. However, existing works either broadcast the messages leading to ... | [] | Train |
24,310 | 16 | Title: Active Learning Guided Fine-Tuning for enhancing Self-Supervised Based Multi-Label Classification of Remote Sensing Images
Abstract: In recent years, deep neural networks (DNNs) have been found very successful for multi-label classification (MLC) of remote sensing (RS) images. Self-supervised pre-training combin... | [] | Train |
24,311 | 30 | Title: Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering
Abstract: Large-scale language models (LLMs), such as ChatGPT, are capable of generating human-like responses for various downstream tasks, such as task-oriented dialogues and question answering. However, applying LLMs to medical do... | [
7936,
13029,
9518,
32213,
27669,
43641
] | Validation |
24,312 | 24 | Title: Predicting Surface Texture in Steel Manufacturing at Speed
Abstract: Control of the surface texture of steel strip during the galvanizing and temper rolling processes is essential to satisfy customer requirements and is conventionally measured post-production using a stylus. In-production laser reflection measur... | [] | Test |
24,313 | 16 | Title: UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
Abstract: Fine-tuning pre-trained models has emerged as a powerful technique in numerous domains, owing to its ability to leverage enormous pre-existing knowledge and achieve remarkable performance on downstream tasks. How... | [
12512,
13513,
45242
] | Validation |
24,314 | 18 | Title: Microfluidic Pulse Shaping Methods for Molecular Communications
Abstract: Molecular Communication (MC) is a bio-inspired communication modality that utilizes chemical signals in the form of molecules to exchange information between spatially separated entities. Pulse shaping is an important process in all commun... | [
15464,
39999
] | Test |
24,315 | 16 | Title: Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Abstract: Research in self-supervised learning (SSL) with natural images has progressed rapidly in recent years and is now increasingly being applied to and benchmarked with datasets containing remotely sensed imagery. A c... | [
3016,
6124,
878,
3471
] | Train |
24,316 | 30 | Title: Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Abstract: Language models (LMs) often exhibit undesirable text generation behaviors, including generating false, toxic, or irrelevant outputs. Reinforcement learning from human feedback (RLHF) - where human preference judgments on LM ou... | [
8580,
4111,
14609,
35091,
407,
37411,
22444,
25772,
4658,
31291,
21190,
13257,
21706,
44537,
16464,
11898,
1368,
3804,
9314,
45923,
230,
14055,
25580,
889,
41210
] | Validation |
24,317 | 16 | Title: Neural Network Training and Non-Differentiable Objective Functions
Abstract: Many important computer vision tasks are naturally formulated to have a non-differentiable objective. Therefore, the standard, dominant training procedure of a neural network is not applicable since back-propagation requires the gradien... | [] | Train |
24,318 | 4 | Title: A Comparative Analysis of Port Scanning Tool Efficacy
Abstract: Port scanning refers to the systematic exploration of networked computing systems. The goal of port scanning is to identify active services and associated information. Although this technique is often employed by malicious actors to locate vulnerabl... | [] | Test |
24,319 | 16 | Title: NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
Abstract: Semi-supervised semantic segmentation involves assigning pixel-wise labels to unlabeled images at training time. This is useful in a wide range of real-world applications where collecting pixel-wise labels is not feasible in t... | [] | Validation |
24,320 | 25 | Title: Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learning
Abstract: Stuttering is a neuro-developmental speech impairment characterized by uncontrolled utterances (interjections) and core behaviors (blocks, repetitions, and prolongations), and is caused by the f... | [
32817
] | Train |
24,321 | 16 | Title: Few-shot Font Generation by Learning Style Difference and Similarity
Abstract: Few-shot font generation (FFG) aims to preserve the underlying global structure of the original character while generating target fonts by referring to a few samples. It has been applied to font library cre-ation, a personalized signa... | [] | Train |
24,322 | 24 | Title: A Markovian Formalism for Active Querying
Abstract: Active learning algorithms have been an integral part of recent advances in artificial intelligence. However, the research in the field is widely varying and lacks an overall organizing leans. We outline a Markovian formalism for the field of active learning an... | [
36307
] | Validation |
24,323 | 16 | Title: SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting
Abstract: In this work, we introduce a challenging image restoration task, referred to as SuperInpaint, which aims to reconstruct missing regions in low-resolution images and generate completed imag... | [] | Train |
24,324 | 5 | Title: A Near Time-optimal Population Protocol for Self-stabilizing Leader Election on Rings with a Poly-logarithmic Number of States
Abstract: We propose a self-stabilizing leader election (SS-LE) protocol on ring networks in the population protocol model. Given a rough knowledge ψ = ⌈log n⌉ + O(1) on the population s... | [] | Test |
24,325 | 5 | Title: GPU-accelerated Parallel Solutions to the Quadratic Assignment Problem
Abstract: The Quadratic Assignment Problem (QAP) is an important combinatorial optimization problem with applications in many areas including logistics and manufacturing. QAP is known to be NP-hard, a computationally challenging problem, whic... | [] | Validation |
24,326 | 39 | Title: Tao General Differential and Difference: Theory and Application
Abstract: Modern numerical analysis is executed on discrete data, of which numerical difference computation is one of the cores and is indispensable. Nevertheless, difference algorithms have a critical weakness in their sensitivity to noise, which h... | [] | Train |
24,327 | 28 | Title: Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control
Abstract: Over-the-air federated edge learning (Air-FEEL) is a communication-efficient framework for distributed machine learning using training data distributed at edge devices. This framework enables all edge device... | [] | Validation |
24,328 | 16 | Title: Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
Abstract: Domain generalization (DG) is proposed to deal with the issue of domain shift, which occurs when statistical differences exist between source and target domains. However, most current methods do not account fo... | [
39894
] | Train |
24,329 | 5 | Title: MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers
Abstract: Message Passing Interface (MPI) plays a crucial role in distributed memory parallelization across multiple nodes. However, parallelizing MPI code manually, and specifically, performing domain decomposition, is a challenging... | [
37700,
13418,
14285,
35706,
2845,
21759
] | Train |
24,330 | 24 | Title: MC-NN: An End-to-End Multi-Channel Neural Network Approach for Predicting Influenza A Virus Hosts and Antigenic Types
Abstract: nan | [] | Train |
24,331 | 16 | Title: Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers
Abstract: Modern transformer-based models designed for computer vision have outperformed humans across a spectrum of visual tasks. However, critical tasks, such as medical image interpretation or autonomous driving, still require reli... | [] | Train |
24,332 | 36 | Title: Fisher Markets with Social Influence
Abstract: A Fisher market is an economic model of buyer and seller interactions in which each buyer’s utility depends only on the bundle of goods she obtains. Many people’s interests, however, are affected by their social interactions with others. In this paper, we introduce ... | [] | Train |
24,333 | 24 | Title: Identification of the Factors Affecting the Reduction of Energy Consumption and Cost in Buildings Using Data Mining Techniques
Abstract: Optimizing energy consumption and coordination of utility systems have long been a concern of the building industry. Buildings are one of the largest energy consumers in the wo... | [] | Train |
24,334 | 34 | Title: Expanding the Scope of DAWN: A Novel Version for Weighted Shortest Path Problem
Abstract: The shortest path problem is a typical problem in graph theory with wide potential applications. The state-of-the-art single-source shortest paths algorithm on the weight graph is the $\Delta$-stepping algorithm, which can ... | [
40449
] | Validation |
24,335 | 28 | Title: Fast Methods for Ranking Synthetic BECs
Abstract: We gather existing methods that are used to compare and rank the BECs synthesized by a polar code constructor, compare them, and propose new methods that compare synthetic BECs more quickly. | [
5840,
12
] | Validation |
24,336 | 6 | Title: Prospects for the implementation of an affordable VR/AR-content management tool for Learning Management Systems
Abstract: The article discusses the prospects for introducing into educational practice the designer of electronic training courses based on virtual and augmented reality technologies for LMS Moodle. T... | [] | Validation |
24,337 | 25 | Title: MMCosine: Multi-Modal Cosine Loss Towards Balanced Audio-Visual Fine-Grained Learning
Abstract: Audio-visual learning helps to comprehensively understand the world by fusing practical information from multiple modalities. However, recent studies show that the imbalanced optimization of uni-modal encoders in a jo... | [
23368
] | Train |
24,338 | 24 | Title: Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient
Abstract: A foundational problem in reinforcement learning and interactive decision making is to understand what modeling assumptions lead to sample-efficient learning guarantees, and what algorithm design principles achiev... | [
37679,
25319
] | Test |
24,339 | 24 | Title: Classic algorithms are fair learners: Classification Analysis of natural weather and wildfire occurrences
Abstract: Classic machine learning algorithms have been reviewed and studied mathematically on its performance and properties in detail. This paper intends to review the empirical functioning of widely used ... | [] | Train |
24,340 | 27 | Title: DiSProD: Differentiable Symbolic Propagation of Distributions for Planning
Abstract: The paper introduces DiSProD, an online planner developed for
environments with probabilistic transitions in continuous state and
action spaces. DiSProD builds a symbolic graph that captures the
distribution of future traject... | [] | Train |
24,341 | 16 | Title: Self-supervised 3D Human Pose Estimation from a Single Image
Abstract: We propose a new self-supervised method for predicting 3D human body pose from a single image. The prediction network is trained from a dataset of unlabelled images depicting people in typical poses and a set of unpaired 2D poses. By minimisi... | [
19891
] | Train |
24,342 | 24 | Title: Efficient CNNs via Passive Filter Pruning
Abstract: Convolutional neural networks (CNNs) have shown state-of-the-art performance in various applications. However, CNNs are resource-hungry due to their requirement of high computational complexity and memory storage. Recent efforts toward achieving computational e... | [] | Validation |
24,343 | 10 | Title: Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives
Abstract: Collectiveness is an important property of many systems-both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far beyond the capabilities of the smar... | [] | Train |
24,344 | 10 | Title: Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection
Abstract: Fleets of networked autonomous vehicles (AVs) collect terabytes of sensory data, which is often transmitted to central servers (the ''cloud'') for training machine learning (ML) models. Ideally, these fleets should upload all their ... | [] | Validation |
24,345 | 16 | Title: Action Anticipation with Goal Consistency
Abstract: In this paper, we address the problem of short-term action anticipation, i.e., we want to predict an upcoming action one second before it happens. We propose to harness high-level intent information to anticipate actions that will take place in the future. To t... | [
8854
] | Train |
24,346 | 24 | Title: Sharpness-Aware Minimization Leads to Low-Rank Features
Abstract: Sharpness-aware minimization (SAM) is a recently proposed method that minimizes the sharpness of the training loss of a neural network. While its generalization improvement is well-known and is the primary motivation, we uncover an additional intr... | [
25529,
36442,
33831
] | Test |
24,347 | 28 | Title: Fundamental Detection Probability vs. Achievable Rate Tradeoff in Integrated Sensing and Communication Systems
Abstract: Integrating sensing functionalities is envisioned as a distinguishing feature of next-generation mobile networks, which has given rise to the development of a novel enabling technology -- \emp... | [
2409,
6122,
2097,
5171,
44791,
10300
] | Validation |
24,348 | 36 | Title: Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Abstract: In this paper, we introduce a generalization of the standard Stackelberg Games (SGs) framework: Calibrated Stackelberg Games (CSGs). In CSGs, a principal repeatedly interacts with an agent who (contrary to standard SGs... | [
41123
] | Test |
24,349 | 24 | Title: Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
Abstract: This paper addresses learning end-to-end models for time series data that include a temporal alignment step via dynamic time warping (DTW). Existing approaches to differentiable DTW either differentiate through a fixed war... | [] | Validation |
24,350 | 30 | Title: Is ChatGPT Equipped with Emotional Dialogue Capabilities?
Abstract: This report presents a study on the emotional dialogue capability of ChatGPT, an advanced language model developed by OpenAI. The study evaluates the performance of ChatGPT on emotional dialogue understanding and generation through a series of e... | [
12128,
4995,
20228,
2597,
13224,
6700,
14606,
2613,
26357,
33975,
35580
] | Test |
24,351 | 16 | Title: A Simulation-Augmented Benchmarking Framework for Automatic RSO Streak Detection in Single-Frame Space Images
Abstract: Detecting Resident Space Objects (RSOs) and preventing collisions with other satellites is crucial. Recently, deep convolutional neural networks (DCNNs) have shown superior performance in objec... | [] | Validation |
24,352 | 16 | Title: Hadamard Layer to Improve Semantic Segmentation
Abstract: The Hadamard Layer, a simple and computationally efficient way to improve results in semantic segmentation tasks, is presented. This layer has no free parameters that require to be trained. Therefore it does not increase the number of model parameters, an... | [] | Train |
24,353 | 10 | Title: A Fast and Map-Free Model for Trajectory Prediction in Traffics
Abstract: To handle the two shortcomings of existing methods, (i)nearly all models rely on high-definition (HD) maps, yet the map information is not always available in real traffic scenes and HD map-building is expensive and time-consuming and (ii)... | [] | Train |
24,354 | 24 | Title: Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches
Abstract: Background: While deep learning technology, which has the capability of obtaining latent representations based on large-scale data, can be a potential solution for the... | [] | Test |
24,355 | 37 | Title: Deep learning based Auto Tuning for Database Management System
Abstract: The management of database system configurations is a challenging task, as there are hundreds of configuration knobs that control every aspect of the system. This is complicated by the fact that these knobs are not standardized, independent... | [
28791
] | Validation |
24,356 | 24 | Title: Simplifying and Empowering Transformers for Large-Graph Representations
Abstract: Learning representations on large-sized graphs is a long-standing challenge due to the inter-dependence nature involved in massive data points. Transformers, as an emerging class of foundation encoders for graph-structured data, ha... | [
44836,
31375
] | Train |
24,357 | 16 | Title: Uncertainty-Driven Multi-Scale Feature Fusion Network for Real-time Image Deraining
Abstract: Visual-based measurement systems are frequently affected by rainy weather due to the degradation caused by rain streaks in captured images, and existing imaging devices struggle to address this issue in real-time. While... | [
11886
] | Train |
24,358 | 24 | Title: Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning
Abstract: Rare life events significantly impact mental health, and their detection in behavioral studies is a crucial step towards health-based interventions. We envision that mobile sensing data can be used to detect these anomalies. However... | [] | Train |
24,359 | 24 | Title: Contextual Bandits with Budgeted Information Reveal
Abstract: Contextual bandit algorithms are commonly used in digital health to recommend personalized treatments. However, to ensure the effectiveness of the treatments, patients are often requested to take actions that have no immediate benefit to them, which w... | [] | Validation |
24,360 | 24 | Title: FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
Abstract: Federated Machine Learning (FL) has received considerable attention in recent years. FL benchmarks are predominantly explored in either simulated systems or data center environments, neglecting the setups of real-wor... | [] | Train |
24,361 | 28 | Title: Minimizing Moments of AoI for Both Active and Passive Users through Second-Order Analysis
Abstract: In this paper, we address the optimization problem of moments of Age of Information (AoI) for active and passive users in a random access network. In this network, active users broadcast sensing data while passive... | [] | Train |
24,362 | 27 | Title: Graph-based Simultaneous Coverage and Exploration Planning for Fast Multi-robot Search
Abstract: In large unknown environments, search operations can be much more time-efficient with the use of multi-robot fleets by parallelizing efforts. This means robots must efficiently perform collaborative mapping (explorat... | [] | Train |
24,363 | 16 | Title: Estimating Residential Solar Potential Using Aerial Data
Abstract: Project Sunroof estimates the solar potential of residential buildings using high quality aerial data. That is, it estimates the potential solar energy (and associated financial savings) that can be captured by buildings if solar panels were to b... | [] | Train |
24,364 | 10 | Title: Reformulation Techniques for Automated Planning: A Systematic Review
Abstract: Automated planning is a prominent area of Artificial Intelligence, and an important component for intelligent autonomous agents. A cornerstone of domain-independent planning is the separation between planning logic, i.e. the automated... | [] | Train |
24,365 | 24 | Title: Priors for symbolic regression
Abstract: When choosing between competing symbolic models for a data set, a human will naturally prefer the "simpler" expression or the one which more closely resembles equations previously seen in a similar context. This suggests a non-uniform prior on functions, which is, however... | [
41649
] | Test |
24,366 | 24 | Title: Are Easy Data Easy (for K-Means)
Abstract: This paper investigates the capability of correctly recovering well-separated clusters by various brands of the $k$-means algorithm. The concept of well-separatedness used here is derived directly from the common definition of clusters, which imposes an interplay betwee... | [
34144
] | Train |
24,367 | 24 | Title: DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data
Abstract: Local stochastic gradient descent (SGD) is a fundamental approach in achieving communication efficiency in Federated Learning (FL) by allowing individual workers to perform local updates. However, the presence of heteroge... | [] | Test |
24,368 | 24 | Title: Improving the Timing Resolution of Positron Emission Tomography Detectors using Boosted Learning - A Residual Physics Approach
Abstract: Artificial intelligence is finding its way into medical imaging, usually focusing on image reconstruction or enhancing analytical reconstructed images. However, optimizations a... | [] | Train |
24,369 | 27 | Title: An overview of robotic grippers
Abstract: The development of robotic grippers is driven by the need to execute particular manual tasks or meet specific objectives in handling operations. Grippers with specific functions vary from being small, accurate, and highly controllable, such as the surgical tool effectors... | [] | Train |
24,370 | 24 | Title: MinMax Networks
Abstract: While much progress has been achieved over the last decades in neuro-inspired machine learning, there are still fundamental theoretical problems in gradient-based learning using combinations of neurons. These problems, such as saddle points and suboptimal plateaus of the cost function, ... | [] | Train |
24,371 | 15 | Title: Towards Sustainable Computing: Assessing the Carbon Footprint of Heterogeneous Systems
Abstract: Decades of progress in energy-efficient and low-power design have successfully reduced the operational carbon footprint in the semiconductor industry. However, this has led to an increase in embodied emissions, encom... | [] | Train |
24,372 | 24 | Title: Detection of Groups with Biased Representation in Ranking
Abstract: Real-life tools for decision-making in many critical domains are based on ranking results. With the increasing awareness of algorithmic fairness, recent works have presented measures for fairness in ranking. Many of those definitions consider th... | [] | Train |
24,373 | 16 | Title: PatchContrast: Self-Supervised Pre-training for 3D Object Detection
Abstract: Accurately detecting objects in the environment is a key challenge for autonomous vehicles. However, obtaining annotated data for detection is expensive and time-consuming. We introduce PatchContrast, a novel self-supervised point clou... | [] | Train |
24,374 | 24 | Title: To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Abstract: Communicating shapes our social word. For a robot to be considered social and being consequently integrated in our social environment it is fundamental to understand some of the dynamics that rule hum... | [] | Train |
24,375 | 16 | Title: Flatness-Aware Minimization for Domain Generalization
Abstract: Domain generalization (DG) seeks to learn robust models that generalize well under unknown distribution shifts. As a critical aspect of DG, optimizer selection has not been explored in depth. Currently, most DG methods follow the widely used benchma... | [
20371,
28559
] | Train |
24,376 | 16 | Title: EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
Abstract: Vision transformers have shown great success due to their high model capabilities. However, their remarkable performance is accompanied by heavy computation costs, which makes them unsuitable for real-time applications. In ... | [
20026,
12027,
7365,
3782
] | Train |
24,377 | 24 | Title: Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Abstract: The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets. Building high-quality market environments for training financial reinforcement learn... | [
25936,
12563,
33220,
7351
] | Train |
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