node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
27,078 | 16 | Title: Rethink Long-tailed Recognition with Vision Transforms
Abstract: In the real world, data tends to follow long-tailed distributions w.r.t. class or attribution, motivating the challenging Long-Tailed Recognition (LTR) problem. In this paper, we revisit recent LTR methods with promising Vision Transformers (ViT). ... | [
4493
] | Validation |
27,079 | 27 | Title: RL + Model-Based Control: Using On-Demand Optimal Control to Learn Versatile Legged Locomotion
Abstract: This letter presents a control framework that combines model-based optimal control and reinforcement learning (RL) to achieve versatile and robust legged locomotion. Our approach enhances the RL training proc... | [
710,
36935,
12376,
20094,
6559
] | Train |
27,080 | 24 | Title: Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility
Abstract: Deploying machine learning (ML) models often requires both fairness and privacy guarantees. Both of these objectives present unique trade-offs with the utility (e.g., accuracy) of the model. However, the mutual ... | [] | Test |
27,081 | 16 | Title: Automatized Marine Vessel Monitoring from Sentinel-1 Data Using Convolution Neural Network
Abstract: The advancement of multi-channel synthetic aperture radar (SAR) system is considered as an upgraded technology for surveillance activities. SAR sensors onboard provide data for coastal ocean surveillance and a vi... | [] | Train |
27,082 | 3 | Title: Institutionalization of Digital Trade in the Russian Federation: Countdown
Abstract: The institutionalization of digital trade is one of the most important directions in the formation of the information society in the Russian Federation. The studies reflect the emerging lag in the Russian economy readiness index... | [] | Train |
27,083 | 28 | Title: Chaotic Waveform-based Signal Design for Noncoherent SWIPT Receivers
Abstract: This paper proposes a chaotic waveform-based multi-antenna receiver design for simultaneous wireless information and power transfer (SWIPT). Particularly, we present a differential chaos shift keying (DCSK)-based SWIPT multiantenna re... | [] | Test |
27,084 | 24 | Title: Submodular Reinforcement Learning
Abstract: In reinforcement learning (RL), rewards of states are typically considered additive, and following the Markov assumption, they are $\textit{independent}$ of states visited previously. In many important applications, such as coverage control, experiment design and infor... | [] | Test |
27,085 | 6 | Title: Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
Abstract: Mitigating algorithmic bias is a critical task in the development and deployment of machine learning models. While several toolkits exist to aid machine learning practitioners in addr... | [
7565,
33967
] | Train |
27,086 | 30 | Title: The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
Abstract: In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing. We perform experiments within the the context of knowledge graph question answering (KGQA), where the task is... | [] | Test |
27,087 | 30 | Title: Generalization Algorithm of Multimodal Pre-Training Model Based on Graph-Text Self-Supervised Training
Abstract: Recently, a large number of studies have shown that the introduction of visual information can effectively improve the effect of neural machine translation (NMT). Its effectiveness largely depends on ... | [] | Validation |
27,088 | 16 | Title: Sparse then Prune: Toward Efficient Vision Transformers
Abstract: The Vision Transformer architecture is a deep learning model inspired by the success of the Transformer model in Natural Language Processing. However, the self-attention mechanism, large number of parameters, and the requirement for a substantial ... | [
11562
] | Train |
27,089 | 24 | Title: Mark My Words: Dangers of Watermarked Images in ImageNet
Abstract: The utilization of pre-trained networks, especially those trained on ImageNet, has become a common practice in Computer Vision. However, prior research has indicated that a significant number of images in the ImageNet dataset contain watermarks, ... | [] | Train |
27,090 | 30 | Title: Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Abstract: Prompt tuning (PT) which only tunes the embeddings of an additional sequence of tokens per task, keeping the pre-trained language model (PLM) frozen, has shown remarkable performance in few-shot learning. Desp... | [
12128,
24053
] | Validation |
27,091 | 26 | Title: Limited Diffusion of Scientific Knowledge Forecasts Collapse
Abstract: Market bubbles emerge when asset prices are driven higher than the ultimate value without sustainability, as dramatic events and pivots of belief can burst them. We demonstrate the same phenomenon for biomedical knowledge when promising resea... | [] | Train |
27,092 | 16 | Title: On The Coherence of Quantitative Evaluation of Visual Explanations
Abstract: Recent years have shown an increased development of methods for justifying the predictions of neural networks through visual explanations. These explanations usually take the form of heatmaps which assign a saliency (or relevance) value... | [
19788
] | Validation |
27,093 | 24 | Title: Matrix Tri-Factorization Over the Tropical Semiring
Abstract: Tropical semiring has proven successful in several research areas, including optimal control, bioinformatics, discrete event systems, and decision problems. Previous studies have applied a matrix two-factorization algorithm based on the tropical semir... | [] | Validation |
27,094 | 27 | Title: A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians
Abstract: Robotic applications involving people often require advanced perception systems to better understand complex real-world scenarios. To address this challenge, photo-realistic and physics simulators are gaining pop... | [
19956
] | Validation |
27,095 | 16 | Title: MapFormer: Boosting Change Detection by Using Pre-change Information
Abstract: Change detection in remote sensing imagery is essential for a variety of applications such as urban planning, disaster management, and climate research. However, existing methods for identifying semantically changed areas overlook the... | [] | Validation |
27,096 | 4 | Title: A Survey of Metaheuristic Algorithms for the Design of Cryptographic Boolean Functions
Abstract: Boolean functions are mathematical objects used in diverse domains and have been actively researched for several decades already. One domain where Boolean functions play an important role is cryptography. There, the ... | [] | Train |
27,097 | 4 | Title: A Threat Model for Soft Privacy on Smart Cars
Abstract: Modern cars are getting so computerised that ENISA’s phrase “smart cars” is a perfect fit. The amount of personal data that they process is very large and, yet, increasing. Hence, the need to address citizens’ privacy while they drive and, correspondingly, ... | [
4240
] | Train |
27,098 | 24 | Title: Decoupling Quantile Representations from Loss Functions
Abstract: The simultaneous quantile regression (SQR) technique has been used to estimate uncertainties for deep learning models, but its application is limited by the requirement that the solution at the median quantile ({\tau} = 0.5) must minimize the mean... | [] | Validation |
27,099 | 16 | Title: HEAL-SWIN: A Vision Transformer On The Sphere
Abstract: High-resolution wide-angle fisheye images are becoming more and more important for robotics applications such as autonomous driving. However, using ordinary convolutional neural networks or vision transformers on this data is problematic due to projection a... | [
35754,
1116
] | Validation |
27,100 | 16 | Title: Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
Abstract: Depth-aware panoptic segmentation is an emerging topic in computer vision which combines semantic and geometric understanding for more robust scene interpretation. Recent works pursue unified frameworks to ta... | [
46154
] | Validation |
27,101 | 16 | Title: Implementing Edge Based Object Detection For Microplastic Debris
Abstract: Plastic has imbibed itself as an indispensable part of our day to day activities, becoming a source of problems due to its non-biodegradable nature and cheaper production prices. With these problems, comes the challenge of mitigating and ... | [] | Train |
27,102 | 27 | Title: Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments
Abstract: Safety is a core challenge of autonomous robot motion planning, especially in the presence of dynamic and uncertain obstacles. Many recent results use learning and deep learning-based motion planners and p... | [] | Train |
27,103 | 16 | Title: A degree of image identification at sub-human scales could be possible with more advanced clusters
Abstract: The purpose of the research is to determine if currently available self-supervised learning techniques can accomplish human level comprehension of visual images using the same degree and amount of sensory... | [] | Train |
27,104 | 16 | Title: Action Sensitivity Learning for Temporal Action Localization
Abstract: Temporal action localization (TAL), which involves recognizing and locating action instances, is a challenging task in video understanding. Most existing approaches directly predict action classes and regress offsets to boundaries, while over... | [
5320
] | Validation |
27,105 | 9 | Title: On the Existence of Anomalies, The Reals Case
Abstract: The Independence Postulate (IP) is a finitary Church-Turing Thesis, saying mathematical sequences are independent from physical ones. Modelling observations as infinite sequences of real numbers, IP implies the existence of anomalies. | [
38250,
17155,
23327
] | Train |
27,106 | 16 | Title: Marine Debris Detection in Satellite Surveillance using Attention Mechanisms
Abstract: Marine debris is an important issue for environmental protection, but current methods for locating marine debris are yet limited. In order to achieve higher efficiency and wider applicability in the localization of Marine debr... | [] | Validation |
27,107 | 8 | Title: A General Model of Vehicle Routing Guidance Systems based on Distributive Learning Scheme
Abstract: Dynamic traffic assignment and vehicle route guidance have been important problems in ITS for some time. This paper proposes a new model for VRGS, which takes into consideration of the information propagation, use... | [] | Train |
27,108 | 5 | Title: Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration
Abstract: FPGAs are an attractive type of accelerator for all-purpose HPC computing systems due to the possibility of deploying tailored hardware on demand. However, the common tools for programming and operating FPGAs are still complex... | [] | Train |
27,109 | 16 | Title: Early Detection of Late Blight Tomato Disease using Histogram Oriented Gradient based Support Vector Machine
Abstract: The tomato is one of the most important fruits on earth. It plays an important and useful role in the agricultural production of any country. This research propose a novel smart technique for ea... | [] | Train |
27,110 | 24 | Title: Operator Learning with Neural Fields: Tackling PDEs on General Geometries
Abstract: Machine learning approaches for solving partial differential equations require learning mappings between function spaces. While convolutional or graph neural networks are constrained to discretized functions, neural operators pre... | [] | Train |
27,111 | 30 | Title: PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
Abstract: Although large language models (LLMs) has shown great performance on natural language processing (NLP) in the financial domain, there are no publicly available financial tailtored LLMs, instruction tuning datasets, and... | [
31904,
13700,
25892,
33220,
33830,
44361,
395,
24308,
36149
] | Train |
27,112 | 24 | Title: Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection
Abstract: Federated learning (FL) aided health diagnostic models can incorporate data from a large number of personal edge devices (e.g., mobile phones) while keeping the data local to the originating devices, larg... | [] | Test |
27,113 | 6 | Title: A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective
Abstract: User trust in Artificial Intelligence (AI) enabled systems has been increasingly recognized and proven as a key element to fostering adoption. It has been suggested that AI-enabled systems must go beyond technical-ce... | [
40989,
7211,
40627
] | Test |
27,114 | 4 | Title: Shedding Light on CVSS Scoring Inconsistencies: A User-Centric Study on Evaluating Widespread Security Vulnerabilities
Abstract: The Common Vulnerability Scoring System (CVSS) is a popular method for evaluating the severity of vulnerabilities in vulnerability management. In the evaluation process, a numeric scor... | [] | Train |
27,115 | 16 | Title: Venn Diagram Multi-label Class Interpretation of Diabetic Foot Ulcer with Color and Sharpness Enhancement
Abstract: DFU is a severe complication of diabetes that can lead to amputation of the lower limb if not treated properly. Inspired by the 2021 Diabetic Foot Ulcer Grand Challenge, researchers designed automa... | [] | Validation |
27,116 | 16 | Title: SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation
Abstract: Without ground truth supervision, self-supervised depth estimation can be trapped in a local minimum due to the gradient-locality issue of the photometric loss. In this paper, we present a framework to enhanc... | [] | Train |
27,117 | 24 | Title: The Initial Screening Order Problem
Abstract: In this paper we present the initial screening order problem, a crucial step within candidate screening. It involves a human-like screener with an objective to find the first k suitable candidates rather than the best k suitable candidates in a candidate pool given a... | [] | Test |
27,118 | 16 | Title: Towards exploring adversarial learning for anomaly detection in complex driving scenes
Abstract: One of the many Autonomous Systems (ASs), such as autonomous driving cars, performs various safety-critical functions. Many of these autonomous systems take advantage of Artificial Intelligence (AI) techniques to per... | [] | Validation |
27,119 | 34 | Title: Brief Announcement: Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud
Abstract: Several cloud-based applications, such as cloud gaming, rent servers to execute jobs which arrive in an online fashion. Each job has a resource demand, such as GPU requirement, and must be dispatched to a cloud s... | [] | Train |
27,120 | 23 | Title: Interpreting Safety Outcomes: Waymo's Performance Evaluation in the Context of a Broader Determination of Safety Readiness
Abstract: This paper frames recent publications from Waymo within the broader context of the safety readiness determination for an Automated Driving System (ADS). Starting from a brief overv... | [
15813
] | Train |
27,121 | 31 | Title: A comment to "A General Theory of IR Evaluation Measures"
Abstract: The paper"A General Theory of IR Evaluation Measures"develops a formal framework to determine whether IR evaluation measures are interval scales. This comment shows some limitations about its conclusions. | [] | Validation |
27,122 | 16 | Title: Less is More: The Influence of Pruning on the Explainability of CNNs
Abstract: Modern, state-of-the-art Convolutional Neural Networks (CNNs) in computer vision have millions of parameters. Thus, explaining the complex decisions of such networks to humans is challenging. A technical approach to reduce CNN complex... | [] | Train |
27,123 | 24 | Title: On Regularized Sparse Logistic Regression
Abstract: Sparse logistic regression aims to perform classification and feature selection simultaneously for high-dimensional data. Although many studies have been done to solve $\ell_1$-regularized logistic regression, there is no equivalently abundant literature about ... | [
45391
] | Train |
27,124 | 8 | Title: Efficient Routing Algorithm Design for Large DetNet
Abstract: Deterministic Networking (DetNet) is a rising technology that offers deterministic delay \&jitter and zero packet loss regardless of failures in large IP networks. In order to support DetNet, we must be able to find a set of low-cost routing paths for... | [] | Test |
27,125 | 24 | Title: Comparative Study of Predicting Stock Index Using Deep Learning Models
Abstract: Time series forecasting has seen many methods attempted over the past few decades, including traditional technical analysis, algorithmic statistical models, and more recent machine learning and artificial intelligence approaches. Re... | [] | Train |
27,126 | 16 | Title: Understanding the Challenges and Opportunities of Pose-based Anomaly Detection
Abstract: Pose-based anomaly detection is a video-analysis technique for detecting anomalous events or behaviors by examining human pose extracted from the video frames. Utilizing pose data alleviates privacy and ethical issues. Also,... | [
28292
] | Train |
27,127 | 28 | Title: Rate-Splitting Multiple Access: Finite Constellations, Receiver Design, and SIC-free Implementation
Abstract: Rate-Splitting Multiple Access (RSMA) has emerged as a novel multiple access technique that enlarges the achievable rate region of Multiple-Input Multiple-Output (MIMO) broadcast channels with linear pre... | [] | Train |
27,128 | 13 | Title: MultiCalib4DEB: A toolbox exploiting multimodal optimisation in Dynamic Energy Budget parameters calibration
Abstract: Calibration is a crucial step for the validation of computational models and a challenging task to accomplish. Dynamic Energy Budget (DEB) theory has experienced an exponential rise in the numbe... | [] | Train |
27,129 | 36 | Title: Sequential Persuasion Using Limited Experiments
Abstract: Bayesian persuasion and its derived information design problem has been one of the main research agendas in the economics and computation literature over the past decade. However, when attempting to apply its model and theory, one is often limited by the ... | [] | Train |
27,130 | 36 | Title: The Power of Menus in Contract Design
Abstract: We study the power of menus of contracts in principal-agent problems with adverse selection (agents can be one of several types) and moral hazard (we cannot observe agent actions directly). For principal-agent problems with T types and n actions, we show that the b... | [] | Train |
27,131 | 5 | Title: CHASE: Accelerating Distributed Pointer-Traversals on Disaggregated Memory
Abstract: Caches at CPU nodes in disaggregated memory architectures amortize the high data access latency over the network. However, such caches are fundamentally unable to improve performance for workloads requiring pointer traversals ac... | [] | Train |
27,132 | 39 | Title: Routing One Million Customers in a Handful of Minutes
Abstract: In this paper, we propose a new dataset of Capacitated Vehicle Routing Problem instances which are up to two orders of magnitude larger than those in the currently used benchmarks. Despite these sizes might not have an immediate application to real-... | [] | Test |
27,133 | 24 | Title: TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction
Abstract: Hard Disk Drive (HDD) failures in datacenters are costly - from catastrophic data loss to a question of goodwill, stakeholders want to avoid it like the plague. An important tool in proactively monitoring against ... | [
34152,
23825
] | Train |
27,134 | 30 | Title: Improving CTC-AED model with integrated-CTC and auxiliary loss regularization
Abstract: Connectionist temporal classification (CTC) and attention-based encoder decoder (AED) joint training has been widely applied in automatic speech recognition (ASR). Unlike most hybrid models that separately calculate the CTC a... | [] | Validation |
27,135 | 28 | Title: Information-Theoretic Study of Time-Domain Energy-Saving Techniques in Radio Access
Abstract: Reduction of wireless network energy consumption is becoming increasingly important to reduce environmental footprint and operational costs. A key concept to achieve it is the use of lean transmission techniques that dy... | [] | Train |
27,136 | 30 | Title: Text2Time: Transformer-based Article Time Period Prediction
Abstract: The task of predicting the publication period of text documents, such as news articles, is an important but less studied problem in the field of natural language processing. Predicting the year of a news article can be useful in various contex... | [] | Validation |
27,137 | 16 | Title: Site-specific weed management in corn using UAS imagery analysis and computer vision techniques
Abstract: Currently, weed control in commercial corn production is performed without considering weed distribution information in the field. This kind of weed management practice leads to excessive amounts of chemical... | [] | Test |
27,138 | 30 | Title: Tool Learning with Foundation Models
Abstract: Humans possess an extraordinary ability to create and utilize tools, allowing them to overcome physical limitations and explore new frontiers. With the advent of foundation models, AI systems have the potential to be equally adept in tool use as humans. This paradig... | [
7936,
22148,
5,
16645,
37252,
37626,
41724,
44173,
10510,
45182,
29714,
43925,
38167,
3609,
9499,
12957,
40605,
14240,
19747,
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13224,
38315,
16556,
10672,
45104,
29753,
12602,
1854,
37316,
33477,
13510,
36681,
38857,
19159,
18777,
19936,
20... | Train |
27,139 | 6 | Title: Towards an Effective Organization-Wide Bulk Email System
Abstract: Bulk email is widely used in organizations to communicate messages to employees. It is an important tool in making employees aware of policies, events, leadership updates, etc. However, in large organizations, the problem of overwhelming communic... | [
25007
] | Train |
27,140 | 30 | Title: Benchmarking Large Language Models in Retrieval-Augmented Generation
Abstract: Retrieval-Augmented Generation (RAG) is a promising approach for mitigating the hallucination of large language models (LLMs). However, existing research lacks rigorous evaluation of the impact of retrieval-augmented generation on dif... | [
13189,
22286,
7695,
42901,
27669,
43930,
9499,
15004,
44445,
1575,
9518,
41010,
26035,
12602,
44361,
13278,
10861,
43641,
35580
] | Train |
27,141 | 16 | Title: Image To Tree with Recursive Prompting
Abstract: . Extracting complex structures from grid-based data is a common key step in automated medical image analysis. The conventional solution to recovering tree-structured geometries typically involves computing the minimal cost path through intermediate representation... | [] | Train |
27,142 | 15 | Title: Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders
Abstract: Viterbi decoders are widely used in communication systems, natural language processing (NLP), and other domains. While Viterbi decoders are compute-intensive and power-hungry, we can exploit approximations for early design space exp... | [] | Validation |
27,143 | 39 | Title: Dyck Words, Pattern Avoidance, and Automatic Sequences
Abstract: We study various aspects of Dyck words appearing in binary sequences, where $0$ is treated as a left parenthesis and $1$ as a right parenthesis. We show that binary words that are $7/3$-power-free have bounded nesting level, but this no longer hold... | [
27606
] | Validation |
27,144 | 16 | Title: RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Abstract: Leveraging vast training data (SA-1B), the foundation Segment Anything Model (SAM) proposed by Meta AI Research exhibits remarkable generalization and zero-shot capabilities. Nonetheless, as a categ... | [
12704,
13345,
17633,
18112,
44707,
37987,
33220,
42599,
37250,
42697,
37070,
33521,
8084,
2782
] | Train |
27,145 | 16 | Title: A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation
Abstract: Unsupervised domain adaptation (UDA) methods facilitate the transfer of models to target domains without labels. However, these methods necessitate a labeled target validation set for hyper-parameter tuning and mod... | [
17633
] | Train |
27,146 | 24 | Title: Navigating Fairness in Radiology AI: Concepts, Consequences, and Crucial Considerations
Abstract: Artificial Intelligence (AI) has significantly revolutionized radiology, promising improved patient outcomes and streamlined processes. However, it's critical to ensure the fairness of AI models to prevent stealthy ... | [
45135
] | Test |
27,147 | 27 | Title: Dynamically Conservative Self-Driving Planner for Long-Tail Cases
Abstract: Self-driving vehicles (SDVs) are becoming reality but still suffer from “long-tail” challenges during natural driving: the SDVs will continually encounter rare, safety-critical cases that may not be included in the dataset they were trai... | [
30078
] | Train |
27,148 | 16 | Title: Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Abstract: In semi-supervised medical image segmentation, there exist empirical mismatch problems between labeled and un-labeled data distribution. The knowledge learned from the labeled data may be largely discarded if treating labeled and u... | [
29765,
10198
] | Train |
27,149 | 10 | Title: Safety Shielding under Delayed Observation
Abstract: Agents operating in physical environments need to be able to handle delays in the input and output signals since neither data transmission nor sensing or actuating the environment are instantaneous. Shields are correct-by-construction runtime enforcers that gu... | [] | Train |
27,150 | 11 | Title: Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
Abstract: Solving the problem of cooperation is of fundamental importance to the creation and maintenance of functional societies, with examples of cooperative dilemmas ranging from navigat... | [
22112
] | Train |
27,151 | 31 | Title: Multi-Granularity Attention Model for Group Recommendation
Abstract: Group recommendation provides personalized recommendations to a group of users based on their shared interests, preferences, and characteristics. Current studies have explored different methods for integrating individual preferences and making ... | [
28455
] | Train |
27,152 | 24 | Title: Discovering Object-Centric Generalized Value Functions From Pixels
Abstract: Deep Reinforcement Learning has shown significant progress in extracting useful representations from high-dimensional inputs albeit using hand-crafted auxiliary tasks and pseudo rewards. Automatically learning such representations in an... | [] | Train |
27,153 | 25 | Title: Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis
Abstract: In speech synthesis, a generative adversarial network (GAN), training a generator (speech synthesizer) and a discriminator in a min-max game, is widely used to improve speech quality. ... | [
45285
] | Train |
27,154 | 30 | Title: VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue
Abstract: Visually-grounded dialog systems, which integrate multiple modes of communication such as text and visual inputs, have become an increasingly popular area of investigation. However, the absence of a standardized evaluation framewo... | [
39862
] | Train |
27,155 | 25 | Title: Towards Multi-task Learning of Speech and Speaker Recognition
Abstract: We study multi-task learning for two orthogonal speech technology tasks: speech and speaker recognition. We use wav2vec2 as a base architecture with two task-specific output heads. We experiment with different architectural decisions to mix ... | [] | Train |
27,156 | 8 | Title: Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN
Abstract: Open Radio Access Network (O-RAN) is considered as a major step in the evolution of next-generation cellular networks given its support for open interfaces and utilization of artificial intelligence (AI) into the deployment, operation... | [] | Test |
27,157 | 24 | Title: Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data
Abstract: Understanding a student's problem-solving strategy can have a significant impact on effective math learning using Intelligent Tutoring Systems (ITSs) and Adaptive Instructional Systems (AISs). For instance, the ITS/... | [] | Test |
27,158 | 24 | Title: Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Abstract: We propose the geometry-informed neural operator (GINO), a highly efficient approach to learning the solution operator of large-scale partial differential equations with varying geometries. GINO uses a signed distance function and point-cloud re... | [
36735,
37487
] | Train |
27,159 | 30 | Title: Antisemitic Messages? A Guide to High-Quality Annotation and a Labeled Dataset of Tweets
Abstract: One of the major challenges in automatic hate speech detection is the lack of datasets that cover a wide range of biased and unbiased messages and that are consistently labeled. We propose a labeling procedure that... | [] | Validation |
27,160 | 3 | Title: Blockchain Technology in Higher Education Ecosystem: Unraveling the Good, Bad, and Ugly
Abstract: The higher education management systems first identified and realized the trap of pitting innovation against privacy while first addressing COVID-19 social isolation challenges in 2020. In the age of data sprawl, we... | [
1015
] | Train |
27,161 | 30 | Title: Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential
Abstract: The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investiga... | [
42024,
25257,
18858,
39600,
29109,
12602,
45822,
21375
] | Train |
27,162 | 24 | Title: How important are specialized transforms in Neural Operators?
Abstract: Simulating physical systems using Partial Differential Equations (PDEs) has become an indispensible part of modern industrial process optimization. Traditionally, numerical solvers have been used to solve the associated PDEs, however recentl... | [
41711
] | Test |
27,163 | 30 | Title: Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation
Abstract: Most task-oriented dialogue (TOD) benchmarks assume users that know exactly how to use the system by constraining the user behaviors within the system's capabilities via strict user goals, namely"user familiarity"bias.... | [] | Train |
27,164 | 2 | Title: Probabilistic relations for modelling epistemic and aleatoric uncertainty: its semantics and automated reasoning with theorem proving
Abstract: Probabilistic programming combines general computer programming, statistical inference, and formal semantics to help systems make decisions when facing uncertainty. Prob... | [] | Train |
27,165 | 30 | Title: Geolocation Predicting of Tweets Using BERT-Based Models
Abstract: This research is aimed to solve the tweet/user geolocation prediction task and provide a flexible methodology for the geotagging of textual big data. The suggested approach implements neural networks for natural language processing (NLP) to estim... | [] | Train |
27,166 | 31 | Title: Knowledge Graph Self-Supervised Rationalization for Recommendation
Abstract: In this paper, we introduce a new self-supervised rationalization method, called KGRec, for knowledge-aware recommender systems. To effectively identify informative knowledge connections, we propose an attentive knowledge rationalizatio... | [
25777,
1059,
9150,
5559
] | Validation |
27,167 | 17 | Title: Enhancing Vascular Analysis with Distance Visualizations: An Overview and Implementation
Abstract: In recent years, the use of expressive surface visualizations in the representation of vascular structures has gained significant attention. These visualizations provide a comprehensive understanding of complex ana... | [] | Train |
27,168 | 24 | Title: A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction
Abstract: nan | [] | Train |
27,169 | 24 | Title: Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models
Abstract: Customers' load profiles are critical resources to support data analytics applications in modern power systems. However, there are usually insufficient historical load profiles for data analysis, due to t... | [] | Train |
27,170 | 16 | Title: EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
Abstract: The functional assessment of the left ventricle chamber of the heart requires detecting four landmark locations and measuring the internal dimension of the left ventricle and the approximate mass of th... | [] | Validation |
27,171 | 16 | Title: Connecting Vision and Language with Video Localized Narratives
Abstract: We propose Video Localized Narratives, a new form of multimodal video annotations connecting vision and language. In the original Localized Narratives [36], annotators speak and move their mouse simultaneously on an image, thus grounding ea... | [
34937,
25938,
39730
] | Validation |
27,172 | 24 | Title: Understanding Revision Behavior in Adaptive Writing Support Systems for Education
Abstract: Revision behavior in adaptive writing support systems is an important and relatively new area of research that can improve the design and effectiveness of these tools, and promote students' self-regulated learning (SRL). ... | [] | Train |
27,173 | 16 | Title: Vision-Based Terrain Relative Navigation on High-Altitude Balloon and Sub-Orbital Rocket
Abstract: We present an experimental analysis on the use of a camera-based approach for high-altitude navigation by associating mapped landmarks from a satellite image database to camera images, and by leveraging inertial se... | [
29665
] | Train |
27,174 | 16 | Title: Audio-Visual Class-Incremental Learning
Abstract: In this paper, we introduce audio-visual class-incremental learning, a class-incremental learning scenario for audio-visual video recognition. We demonstrate that joint audio-visual modeling can improve class-incremental learning, but current methods fail to pres... | [
38756,
5543,
23313,
30385,
3315
] | Train |
27,175 | 30 | Title: INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models
Abstract: A salient characteristic of large pre-trained language models (PTLMs) is a remarkable improvement in their generalization capability and emergence of new capabilities with increasing model capacity and pre-tra... | [] | Train |
27,176 | 4 | Title: SoK: Evaluating Privacy and Security Concerns of Using Web Services for the Disabled Population
Abstract: The online privacy and security of the disabled community is a complex field that has implications for every user who navigates web services. While many disciplines have separately researched the disabled po... | [
12936,
25641
] | Train |
27,177 | 28 | Title: The Impact of SAR-ADC Mismatch on Quantized Massive MU-MIMO Systems
Abstract: Low-resolution analog-to-digital converters (ADCs) in massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems can significantly reduce the power, cost, and interconnect data rates of infrastructure basestations. ... | [] | Test |
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