node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
28,278 | 36 | Title: A Myersonian Framework for Optimal Liquidity Provision in Automated Market Makers
Abstract: In decentralized finance ("DeFi"), automated market makers (AMMs) enable traders to programmatically exchange one asset for another. Such trades are enabled by the assets deposited by liquidity providers (LPs). The goal o... | [] | Train |
28,279 | 16 | Title: LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Abstract: Recent advancements in text-to-image generation with diffusion models have yielded remarkable results synthesizing highly realistic and diverse images. However, these models still encount... | [
10624,
20451,
6963,
8308,
20949,
34074,
16284,
14047
] | Train |
28,280 | 27 | Title: Learning to Solve Tasks with Exploring Prior Behaviours
Abstract: Demonstrations are widely used in Deep Reinforcement Learning (DRL) for facilitating solving tasks with sparse rewards. However, the tasks in real-world scenarios can often have varied initial conditions from the demonstration, which would require... | [] | Train |
28,281 | 16 | Title: A Bi-variant Variational Model for Diffeomorphic Image Registration with Relaxed Jacobian Determinant Constraints
Abstract: Diffeomorphic registration has become a powerful approach for seeking a smooth and invertible spatial transformation between two coordinate systems which have been measured via the template... | [] | Test |
28,282 | 30 | Title: Structured Dialogue Discourse Parsing
Abstract: Dialogue discourse parsing aims to uncover the internal structure of a multi-participant conversation by finding all the discourse links and corresponding relations. Previous work either treats this task as a series of independent multiple-choice problems, in which... | [
8286
] | Validation |
28,283 | 31 | Title: Selective and Collaborative Influence Function for Efficient Recommendation Unlearning
Abstract: Recent regulations on the Right to be Forgotten have greatly influenced the way of running a recommender system, because users now have the right to withdraw their private data. Besides simply deleting the target dat... | [
18833,
6277
] | Validation |
28,284 | 24 | Title: Bootstrapping Parallel Anchors for Relative Representations
Abstract: The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot model stitching across a wide range of applications. Nevertheless, relative representations rely on a certain am... | [] | Validation |
28,285 | 24 | Title: Bayesian approach to Gaussian process regression with uncertain inputs
Abstract: Conventional Gaussian process regression exclusively assumes the existence of noise in the output data of model observations. In many scientific and engineering applications, however, the input locations of observational data may al... | [] | Train |
28,286 | 24 | Title: On the Within-Group Fairness of Screening Classifiers
Abstract: Screening classifiers are increasingly used to identify qualified candidates in a variety of selection processes. In this context, it has been recently shown that, if a classifier is calibrated, one can identify the smallest set of candidates which ... | [] | Train |
28,287 | 24 | Title: Subgraph Centralization: A Necessary Step for Graph Anomaly Detection
Abstract: Graph anomaly detection has attracted a lot of interest recently. Despite their successes, existing detectors have at least two of the three weaknesses: (a) high computational cost which limits them to small-scale networks only; (b) ... | [
28485
] | Train |
28,288 | 16 | Title: Advancing Radiograph Representation Learning with Masked Record Modeling
Abstract: Modern studies in radiograph representation learning rely on either self-supervision to encode invariant semantics or associated radiology reports to incorporate medical expertise, while the complementarity between them is barely ... | [
27817,
39788,
2638,
23283,
22495
] | Train |
28,289 | 16 | Title: Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
Abstract: A truly generalizable approach to rigid segmentation and motion estimation is fundamental to 3D understanding of articulated objects and moving scenes. In view of the tightly coupled relationship between segmentatio... | [] | Test |
28,290 | 30 | Title: Argumentative Segmentation Enhancement for Legal Summarization
Abstract: We use the combination of argumentative zoning [1] and a legal argumentative scheme to create legal argumentative segments. Based on the argumentative segmentation, we propose a novel task of classifying argumentative segments of legal case... | [] | Train |
28,291 | 16 | Title: Make It So: Steering StyleGAN for Any Image Inversion and Editing
Abstract: StyleGAN's disentangled style representation enables powerful image editing by manipulating the latent variables, but accurately mapping real-world images to their latent variables (GAN inversion) remains a challenge. Existing GAN invers... | [
34950
] | Train |
28,292 | 16 | Title: Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things
Abstract: With the advancement of vision-based artificial intelligence, the proliferation of the Internet of Things connected cameras, and the increasing societal need for rapid and equitable security, the demand for accur... | [
32878,
20205,
27126
] | Validation |
28,293 | 23 | Title: Sustainability is Stratified: Toward a Better Theory of Sustainable Software Engineering
Abstract: Background: Sustainable software engineering (SSE) means creating software in a way that meets present needs without undermining our collective capacity to meet our future needs. It is typically conceptualized as s... | [
6078
] | Validation |
28,294 | 30 | Title: KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases
Abstract: Large language models (LLMs) have demonstrated impressive impact in the field of natural language processing, but they still struggle with several issues regarding, such as completeness, timeliness, faithfu... | [
22148,
43718,
13298,
32018,
38102,
28151,
634,
32987,
13438
] | Train |
28,295 | 27 | Title: Euclidean Equivariant Models for Generative Graphical Inverse Kinematics
Abstract: Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for robotic manipulation. Existing numerical solvers typically produce a single solution only and rely on local search technique... | [] | Train |
28,296 | 24 | Title: DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting
Abstract: Despite the high performance of neural network-based time series forecasting methods, the inherent challenge in explaining their predictions has limited their applicability in certain application areas. Due to the ... | [] | Train |
28,297 | 6 | Title: A Study of Editor Features in a Creative Coding Classroom
Abstract: Creative coding is a rapidly expanding domain for both artistic expression and computational education. Numerous libraries and IDEs support creative coding, however there has been little consideration of how the environments themselves might be ... | [
11305,
40187,
36012
] | Validation |
28,298 | 24 | Title: A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps
Abstract: In order to deploy machine learning in a real-world self-driving laboratory where data acquisition is costly and there are multiple competing design criteria, systems need... | [] | Train |
28,299 | 37 | Title: Moving Fast With Broken Data
Abstract: Machine learning (ML) models in production pipelines are frequently retrained on the latest partitions of large, continually-growing datasets. Due to engineering bugs, partitions in such datasets almost always have some corrupted features; thus, it's critical to detect data... | [
14237
] | Train |
28,300 | 33 | Title: Two-dimensional Dyck words
Abstract: We propose different ways of lifting the notion of Dyck language from words to 2-dimensional (2D) pictures, by means of new definitions of increasing comprehensiveness. Two of the proposals are based on alternative definitions of a Dyck language, which are equivalent over wor... | [] | Train |
28,301 | 36 | Title: Incentive Mechanism in the Sponsored Content Market with Network Effect
Abstract: We propose an incentive mechanism for the sponsored content provider market in which the communication of users can be represented by a graph and the private information of the users is assumed to have a continuous distribution fun... | [] | Validation |
28,302 | 24 | Title: A statistical approach to detect sensitive features in a group fairness setting
Abstract: The use of machine learning models in decision support systems with high societal impact raised concerns about unfair (disparate) results for different groups of people. When evaluating such unfair decisions, one generally ... | [] | Test |
28,303 | 24 | Title: Polynomial Width is Sufficient for Set Representation with High-dimensional Features
Abstract: Set representation has become ubiquitous in deep learning for modeling the inductive bias of neural networks that are insensitive to the input order. DeepSets is the most widely used neural network architecture for set... | [] | Train |
28,304 | 30 | Title: XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament
Abstract: As the impact of technology on our lives is increasing, we witness increased use of social media that became an essential tool not only for communication but also for sharing information with community about ... | [
28213
] | Test |
28,305 | 23 | Title: Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
Abstract: Bug reports are vital for software maintenance that allow users to inform developers of the problems encountered while using the software. As such, researchers have committed considerable resources toward automating bug ... | [
23872,
20105,
23306,
11718
] | Train |
28,306 | 30 | Title: Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning
Abstract: Efficient finetuning of pretrained language transformers is becoming increasingly prevalent for solving natural language processing tasks. While effective, it can still require a large number of tunable parameters. This can ... | [] | Train |
28,307 | 16 | Title: Technical Report for Ego4D Long Term Action Anticipation Challenge 2023
Abstract: In this report, we describe the technical details of our approach for the Ego4D Long-Term Action Anticipation Challenge 2023. The aim of this task is to predict a sequence of future actions that will take place at an arbitrary time... | [] | Train |
28,308 | 24 | Title: Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
Abstract: High-quality machine learning models are dependent on access to high-quality training data. When the data are not already available, it is tedious and costly to obtain them. Data markets... | [] | Train |
28,309 | 4 | Title: Verifiable Sustainability in Data Centers
Abstract: Sustainability is crucial for combating climate change and protecting our planet. While there are various systems that can pose a threat to sustainability, data centers are particularly significant due to their substantial energy consumption and environmental i... | [] | Validation |
28,310 | 27 | Title: Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery
Abstract: Ultrasound scanning robots enable the automatic imaging of a patient's internal organs by maintaining close contact between the ultrasound probe and the patient's body during a scanning procedure... | [] | Test |
28,311 | 16 | Title: Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers
Abstract: Although vision transformers (ViTs) have shown promising results in various computer vision tasks recently, their high computational cost limits their practical applications. Previous approaches that prune redu... | [] | Validation |
28,312 | 16 | Title: T-former: An Efficient Transformer for Image Inpainting
Abstract: Benefiting from powerful convolutional neural networks (CNNs), learning-based image inpainting methods have made significant breakthroughs over the years. However, some nature of CNNs (e.g. local prior, spatially shared parameters) limit the perfo... | [
3392
] | Train |
28,313 | 4 | Title: Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks
Abstract: Satellite communication networks have attracted widespread attention for seamless network coverage and collaborative computing. In satellite-terrestrial networks, ground users can offload com... | [] | Train |
28,314 | 10 | Title: Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection
Abstract: Failure detection (FD) in AI systems is a crucial safeguard for the deployment for safety-critical tasks. The common evaluation method of FD performance is the Risk-coverage (RC) curve, which reveals the trade-off between th... | [] | Train |
28,315 | 16 | Title: A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
Abstract: 3D interacting hand pose estimation from a single RGB image is a challenging task, due to serious self-occlusion and inter-occlusion towards hands, confusing similar appearance patterns ... | [] | Train |
28,316 | 34 | Title: What if we tried Less Power? - Lessons from studying the power of choices in hashing-based data structures
Abstract: In the first part of this survey, we review how the power of two choices underlies space-efficient data structures like cuckoo hash tables. We'll find that the additional power afforded by more th... | [] | Train |
28,317 | 3 | Title: Human behavior in the time of COVID-19: Learning from big data
Abstract: Since the World Health Organization (WHO) characterized COVID-19 as a pandemic in March 2020, there have been over 600 million confirmed cases of COVID-19 and more than six million deaths as of October 2022. The relationship between the COV... | [] | Train |
28,318 | 16 | Title: Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings
Abstract: The event streams generated by dynamic vision sensors (DVS) are sparse and non-uniform in the spatial domain, while still dense and redundant in the temporal domain. Although spiking neural network (SNN), the event-driven neuromorphic... | [
8786
] | Train |
28,319 | 3 | Title: Bridging adaptive management and reinforcement learning for more robust decisions
Abstract: From out-competing grandmasters in chess to informing high-stakes healthcare decisions, emerging methods from artificial intelligence are increasingly capable of making complex and strategic decisions in diverse, high-dim... | [
20836
] | Train |
28,320 | 24 | Title: Addressing Class Variable Imbalance in Federated Semi-supervised Learning
Abstract: Federated Semi-supervised Learning (FSSL) combines techniques from both fields of federated and semi- supervised learning to improve the accuracy and performance of models in a distributed environment by using a small fraction of... | [] | Validation |
28,321 | 30 | Title: Optimizing Deep Learning Model Parameters with the Bees Algorithm for Improved Medical Text Classification
Abstract: This paper introduces a novel mechanism to obtain the optimal parameters of a deep learning model using the Bees Algorithm, which is a recent promising swarm intelligence algorithm. The optimizati... | [] | Train |
28,322 | 3 | Title: Discrimination through Image Selection by Job Advertisers on Facebook
Abstract: Targeted advertising platforms are widely used by job advertisers to reach potential employees; thus issues of discrimination due to targeting that have surfaced have received widespread attention. Advertisers could misuse targeting ... | [
16284
] | Train |
28,323 | 27 | Title: Happily Error After: Framework Development and User Study for Correcting Robot Perception Errors in Virtual Reality
Abstract: While we can see robots in more areas of our lives, they still make errors. One common cause of failure stems from the robot perception module when detecting objects. Allowing users to co... | [
2680,
29001
] | Validation |
28,324 | 16 | Title: A metric to compare the anatomy variation between image time series
Abstract: Biological processes like growth, aging, and disease progression are generally studied with follow-up scans taken at different time points, i.e., with image time series (TS) based analysis. Comparison between TS representing a biologic... | [] | Train |
28,325 | 24 | Title: PopulAtion Parameter Averaging (PAPA)
Abstract: Ensemble methods combine the predictions of multiple models to improve performance, but they require significantly higher computation costs at inference time. To avoid these costs, multiple neural networks can be combined into one by averaging their weights. Howeve... | [
36593,
10538,
9853,
17382
] | Train |
28,326 | 16 | Title: GP3D: Generalized Pose Estimation in 3D Point Clouds: A case study on bin picking
Abstract: In this paper, we present GP3D, a novel network for generalized pose estimation in 3D point clouds. The method generalizes to new objects by using both the scene point cloud and the object point cloud with keypoint indexe... | [
22369
] | Train |
28,327 | 34 | Title: Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
Abstract: In this paper, we present improved learning-augmented algorithms for the multi-option ski rental problem. Learning-augmented algorithms take ML predictions as an added part of the input... | [
8346
] | Test |
28,328 | 16 | Title: Representing Noisy Image Without Denoising
Abstract: A long-standing topic in artificial intelligence is the effective recognition of patterns from noisy images. In this regard, the recent data-driven paradigm considers 1) improving the representation robustness by adding noisy samples in training phase (i.e., d... | [] | Validation |
28,329 | 16 | Title: Towards Phytoplankton Parasite Detection Using Autoencoders
Abstract: Phytoplankton parasites are largely understudied microbial components with a potentially significant ecological impact on phytoplankton bloom dynamics. To better understand their impact, we need improved detection methods to integrate phytopla... | [] | Validation |
28,330 | 11 | Title: A Quantification Approach for Transferability in Lifelike Computing Systems
Abstract: The basic idea of lifelike computing systems is the trans- fer of concepts in living systems to technical use that goes even beyond existing concepts of self-adaptation and self- organisation (SASO). As a result, these systems ... | [] | Train |
28,331 | 30 | Title: Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
Abstract: In this article, we use probing to investigate phenomena that occur during fine-tuning and knowledge distillation of a BERT-based natural language understanding (NLU) model. Our ultimate purpose was to use p... | [] | Test |
28,332 | 8 | Title: Equalization in Dispersion-Managed Systems Using Learned Digital Back-Propagation
Abstract: In this paper, we investigate the use of the learned digital back-propagation (LDBP) for equalizing dual-polarization fiber-optic transmission in dispersion-managed (DM) links. LDBP is a deep neural network that optimizes... | [] | Train |
28,333 | 16 | Title: Reference Guided Image Inpainting using Facial Attributes
Abstract: Image inpainting is a technique of completing missing pixels such as occluded region restoration, distracting objects removal, and facial completion. Among these inpainting tasks, facial completion algorithm performs face inpainting according to... | [] | Train |
28,334 | 16 | Title: Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
Abstract: Spatially dense self-supervised learning is a rapidly growing problem domain with promising applications for unsupervised segmentation and pretraining for dense downstream tasks. Despite the abundance of temporal data in the for... | [
4643,
12870,
43463,
26026,
36051
] | Validation |
28,335 | 24 | Title: Biologically inspired ChaosNet architecture for Hypothetical Protein Classification
Abstract: ChaosNet is a type of artificial neural network framework developed for classification problems and is influenced by the chaotic property of the human brain. Each neuron of the ChaosNet architecture is the one-dimension... | [] | Train |
28,336 | 20 | Title: Bijective Density-Equalizing Quasiconformal Map for Multiply-Connected Open Surfaces
Abstract: This paper proposes a novel method for computing bijective density-equalizing quasiconformal (DEQ) flattening maps for multiply-connected open surfaces. In conventional density-equalizing maps, shape deformations are s... | [] | Train |
28,337 | 24 | Title: (Private) Kernelized Bandits with Distributed Biased Feedback
Abstract: In this paper, we study kernelized bandits with distributed biased feedback. This problem is motivated by several real-world applications (such as dynamic pricing, cellular network configuration, and policy making), where users from a large ... | [
29132,
1428
] | Train |
28,338 | 16 | Title: MRET: Multi-resolution transformer for video quality assessment
Abstract: No-reference video quality assessment (NR-VQA) for user generated content (UGC) is crucial for understanding and improving visual experience. Unlike video recognition tasks, VQA tasks are sensitive to changes in input resolution. Since lar... | [] | Validation |
28,339 | 6 | Title: Exploring AI Tool's Versatile Responses: An In-depth Analysis Across Different Industries and Its Performance Evaluation
Abstract: AI Tool is a large language model (LLM) designed to generate human-like responses in natural language conversations. It is trained on a massive corpus of text from the internet, whic... | [
32096
] | Test |
28,340 | 13 | Title: Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Abstract: Evolutionary algorithms (EAs) have been widely and successfully applied to solve multi-objective optimization problems, due to their nature of population-based search. Population update is a key component in... | [
44385,
6947,
17552,
25713,
39607,
39066
] | Train |
28,341 | 27 | Title: L1 Adaptive Resonance Ratio Control for Series Elastic Actuator with Guaranteed Transient Performance
Abstract: To eliminate the static error, overshoot, and vibration of the series elastic actuator (SEA) position control, the resonance ratio control (RRC) algorithm is improved based on L1 adaptive control(L1AC)... | [] | Test |
28,342 | 24 | Title: More efficient manual review of automatically transcribed tabular data
Abstract: Machine learning methods have proven useful in transcribing historical data. However, results from even highly accurate methods require manual verification and correction. Such manual review can be time-consuming and expensive, ther... | [] | Test |
28,343 | 16 | Title: IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base Object Detection
Abstract: 3D object detection is one of the most important tasks in autonomous driving and robotics. Our research focuses on tackling low efficiency issue of point-based methods on large-scale point clouds. Existing point-b... | [] | Train |
28,344 | 30 | Title: Towards Dialogue Systems with Agency in Human-AI Collaboration Tasks
Abstract: Agency, the capacity to proactively shape events, is crucial to how humans interact and collaborate with other humans. In this paper, we investigate Agency as a potentially desirable function of dialogue agents, and how it can be meas... | [] | Train |
28,345 | 16 | Title: MMC: Multi-Modal Colorization of Images using Textual Descriptions
Abstract: Handling various objects with different colors is a significant challenge for image colorization techniques. Thus, for complex real-world scenes, the existing image colorization algorithms often fail to maintain color consistency. In th... | [] | Validation |
28,346 | 30 | Title: Self Information Update for Large Language Models through Mitigating Exposure Bias
Abstract: Current LLMs have demonstrated remarkable capabilities in addressing users' requests for various types of information. However, these models are limited by the most recent data available in their pretraining corpora, ren... | [
33220,
13700,
41724
] | Validation |
28,347 | 24 | Title: TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Abstract: Anytime neural networks (AnytimeNNs) are a promising solution to adaptively adjust the model complexity at runtime under various hardware resource constraints. However, the manually-designed AnytimeNNs are biased by designers' prio... | [] | Train |
28,348 | 16 | Title: PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature Matching
Abstract: Estimating the pose of an unseen object is the goal of the challenging one-shot pose estimation task. Previous methods have heavily relied on feature matching with great success. However, these methods are often inefficient and li... | [
3240,
39232,
5488
] | Test |
28,349 | 16 | Title: MetaWeather: Few-Shot Weather-Degraded Image Restoration via Degradation Pattern Matching
Abstract: Real-world vision tasks frequently suffer from the appearance of adverse weather conditions including rain, fog, snow, and raindrops in captured images. Recently, several generic methods for restoring weather-degr... | [
9590
] | Train |
28,350 | 30 | Title: Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
Abstract: Parameter-efficient fine-tuning (PEFT) of pre-trained language models (PLMs) has emerged as a highly successful approach, with training only a small number of parameters without sacrificing performance and becoming t... | [
10464,
13700,
13513,
27282,
31158
] | Train |
28,351 | 16 | Title: Predicting masked tokens in stochastic locations improves masked image modeling
Abstract: Self-supervised learning is a promising paradigm in deep learning that enables learning from unlabeled data by constructing pretext tasks that require learning useful representations. In natural language processing, the dom... | [
16843
] | Train |
28,352 | 30 | Title: Exploitation and exploration in text evolution. Quantifying planning and translation flows during writing
Abstract: Writing is a complex process at the center of much of modern human activity. Despite appearing to be a linear process, writing conceals many highly non-linear processes. Previous research has focus... | [] | Train |
28,353 | 28 | Title: Joint Task Offloading and Resource Allocation for Streaming Application in Cooperative Mobile Edge Computing
Abstract: Mobile edge computing (MEC) enables resource-limited IoT devices to complete computation-intensive or delay-sensitive task by offloading the task to adjacent edge server deployed at the base sta... | [] | Test |
28,354 | 24 | Title: Koopman Kernel Regression
Abstract: Many machine learning approaches for decision making, such as reinforcement learning, rely on simulators or predictive models to forecast the time-evolution of quantities of interest, e.g., the state of an agent or the reward of a policy. Forecasts of such complex phenomena ar... | [
7014
] | Test |
28,355 | 16 | Title: Interruptions detection in video conferences
Abstract: In recent years, video conferencing (VC) popularity has skyrocketed for a wide range of activities. As a result, the number of VC users surged sharply. The sharp increase in VC usage has been accompanied by various newly emerging privacy and security challen... | [] | Train |
28,356 | 24 | Title: Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
Abstract: Policies often fail due to distribution shift -- changes in the state and reward that occur when a policy is deployed in new environments. Data augmentation can increase robustness by making the model invaria... | [
36307,
45923,
17981,
10199
] | Train |
28,357 | 23 | Title: Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark
Abstract: Neural Machine Translation (NMT) is widely applied in software engineering tasks. The effectiveness of NMT for code retrieval relies on the ability to learn from t... | [] | Train |
28,358 | 4 | Title: Abusing the Ethereum Smart Contract Verification Services for Fun and Profit
Abstract: Smart contracts play a vital role in the Ethereum ecosystem. Due to the prevalence of kinds of security issues in smart contracts, the smart contract verification is urgently needed, which is the process of matching a smart co... | [] | Test |
28,359 | 31 | Title: Density Weighting for Multi-Interest Personalized Recommendation
Abstract: Using multiple user representations (MUR) to model user behavior instead of a single user representation (SUR) has been shown to improve personalization in recommendation systems. However, the performance gains observed with MUR can be se... | [] | Train |
28,360 | 24 | Title: Studying Accuracy of Machine Learning Models Trained on Lab Lifting Data in Solving Real-World Problems Using Wearable Sensors for Workplace Safety
Abstract: Porting ML models trained on lab data to real-world situations has long been a challenge. This paper discusses porting a lab-trained lifting identification... | [] | Train |
28,361 | 37 | Title: Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations
Abstract: Videos that are shot using commodity hardware such as phones and surveillance cameras record various metadata such as time and location. We encounter such geospatial videos on a daily basis and such videos have been growin... | [] | Train |
28,362 | 30 | Title: Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings
Abstract: This study investigates the consistency of feedback ratings generated by OpenAI's GPT-4, a state-of-the-art artificial intelligence language model, across multiple iterations, time spans and stylistic variations. The model rated re... | [
38208,
33220,
17606,
21180,
22334
] | Validation |
28,363 | 30 | Title: CReHate: Cross-cultural Re-annotation of English Hate Speech Dataset
Abstract: English datasets predominantly reflect the perspectives of certain nationalities, which can lead to cultural biases in models and datasets. This is particularly problematic in tasks heavily influenced by subjectivity, such as hate spe... | [] | Train |
28,364 | 16 | Title: Detecting Severity of Diabetic Retinopathy from Fundus Images using Ensembled Transformers
Abstract: Diabetic Retinopathy (DR) is considered one of the primary concerns due to its effect on vision loss among most people with diabetes globally. The severity of DR is mostly comprehended manually by ophthalmologist... | [] | Validation |
28,365 | 16 | Title: Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Abstract: Multi-label recognition (MLR) with incomplete labels is very challenging. Recent works strive to explore the image-to-label correspondence in the vision-language model, i.e., CLIP [22], to compensate for insufficient... | [] | Validation |
28,366 | 34 | Title: Compressed Indexing for Consecutive Occurrences
Abstract: The fundamental question considered in algorithms on strings is that of indexing, that is, preprocessing a given string for specific queries. By now we have a number of efficient solutions for this problem when the queries ask for an exact occurrence of a... | [] | Train |
28,367 | 30 | Title: When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale
Abstract: Multilingual machine translation (MMT), trained on a mixture of parallel and monolingual data, is key for improving translation in low-resource language pairs. However, the literature offers conflicting results... | [
32744,
27340,
32659,
15358,
32479
] | Validation |
28,368 | 8 | Title: Securing Autonomous Air Traffic Management: Blockchain Networks Driven by Explainable AI
Abstract: Air Traffic Management data systems today are inefficient and not scalable to enable future unmanned systems. Current data is fragmented, siloed, and not easily accessible. There is data conflict, misuse, and erodi... | [] | Validation |
28,369 | 30 | Title: Automated Annotation with Generative AI Requires Validation
Abstract: Generative large language models (LLMs) can be a powerful tool for augmenting text annotation procedures, but their performance varies across annotation tasks due to prompt quality, text data idiosyncrasies, and conceptual difficulty. Because ... | [
39392,
21794,
7339,
32981,
20822,
39642
] | Validation |
28,370 | 39 | Title: Set-alternating schemes: A new class of large Condorcet domains
Abstract: In this paper, we introduce set-alternating schemes to construct Condorcet domains. These schemes lead to domains which are copious, connected, and peak-pit. The resulting family of domains includes some of Arrow's single-peaked domains of... | [
38568,
766,
25239
] | Train |
28,371 | 30 | Title: Pruning Pre-trained Language Models with Principled Importance and Self-regularization
Abstract: Iterative pruning is one of the most effective compression methods for pre-trained language models. We discovered that finding the optimal pruning decision is an equality-constrained 0-1 Integer Linear Programming pr... | [] | Validation |
28,372 | 3 | Title: Towards FATE in AI for Social Media and Healthcare: A Systematic Review
Abstract: As artificial intelligence (AI) systems become more prevalent, ensuring fairness in their design becomes increasingly important. This survey focuses on the subdomains of social media and healthcare, examining the concepts of fairne... | [] | Train |
28,373 | 13 | Title: Reservoir Computing with Noise
Abstract: This paper investigates in detail the effects of measurement noise on the performance of reservoir computing. We focus on an application in which reservoir computers are used to learn the relationship between different state variables of a chaotic system. We recognize tha... | [
17271
] | Test |
28,374 | 3 | Title: The Role of ChatGPT in Democratizing Data Science: An Exploration of AI-facilitated Data Analysis in Telematics
Abstract: The realm of data science, once reserved for specialists, is undergoing a revolution with the rapid emergence of generative AI, particularly through tools like ChatGPT. This paper posits Chat... | [
17650,
2789,
45213
] | Train |
28,375 | 30 | Title: Utilisation of open intent recognition models for customer support intent detection
Abstract: Businesses have sought out new solutions to provide support and improve customer satisfaction as more products and services have become interconnected digitally. There is an inherent need for businesses to provide or ou... | [] | Train |
28,376 | 16 | Title: Diverse Motion In-betweening with Dual Posture Stitching
Abstract: In-betweening is a technique for generating transitions given initial and target character states. The majority of existing works require multiple (often $>$10) frames as input, which are not always accessible. Our work deals with a focused yet c... | [] | Validation |
28,377 | 16 | Title: Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Abstract: Large-scale well-annotated datasets are of great importance for training an effective object detector. However, obtaining accurate bounding box annotations is laborious and demanding. Unfortunately, the resultant noisy boundi... | [
20324
] | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.