node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
38,178 | 16 | Title: Model-agnostic explainable artificial intelligence for object detection in image data
Abstract: Object detection is a fundamental task in computer vision, which has been greatly progressed through developing large and intricate deep learning models. However, the lack of transparency is a big challenge that may n... | [] | Test |
38,179 | 16 | Title: Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
Abstract: Object-centric learning (OCL) aspires general and compositional understanding of scenes by representing a scene as a collection of object-centric representations. OCL has also been extended to multi-view image and video dat... | [
25552
] | Validation |
38,180 | 34 | Title: Exploration of graphs with excluded minors
Abstract: We study the online graph exploration problem proposed by Kalyanasundaram and Pruhs (1994) and prove a constant competitive ratio on minor-free graphs. This result encompasses and significantly extends the graph classes that were previously known to admit a co... | [] | Validation |
38,181 | 16 | Title: InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
Abstract: This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most existing research on HOI synthesis lacks comprehensive whole-body interactions with dynamic objects, e.g., often limited to mani... | [
44930,
46083,
12420,
42500,
27782,
34579,
45333,
17178,
44447,
5288,
25515,
15030,
954,
17214,
578,
43203,
12489,
40281,
19674,
28126,
32485,
759,
28659,
11508,
29427,
27255,
35194,
5243
] | Validation |
38,182 | 16 | Title: LowDINO - A Low Parameter Self Supervised Learning Model
Abstract: This research aims to explore the possibility of designing a neural network architecture that allows for small networks to adopt the properties of huge networks, which have shown success in self-supervised learning (SSL), for all the downstream t... | [
4643
] | Train |
38,183 | 30 | Title: Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case
Abstract: After the pandemic, artificial intelligence (AI) powered support for mental health care has become increasingly important. The breadth and complexity of significant challenges require... | [
29458,
17127
] | Train |
38,184 | 8 | Title: A Survey on Multi-AP Coordination Approaches over Emerging WLANs: Future Directions and Open Challenges
Abstract: The 802.11 IEEE standard aims to update current Wireless Local Area Network (WLAN) standards to meet the high demands of future applications, such as 8K videos, augmented/virtual reality (AR/VR), the... | [
35186
] | Train |
38,185 | 24 | Title: Fairness-aware Multi-view Clustering
Abstract: In the era of big data, we are often facing the challenge of data heterogeneity and the lack of label information simultaneously. In the financial domain (e.g., fraud detection), the heterogeneous data may include not only numerical data (e.g., total debt and yearly... | [
31897
] | Test |
38,186 | 16 | Title: Towards Understanding the Effect of Pretraining Label Granularity
Abstract: In this paper, we study how pretraining label granularity affects the generalization of deep neural networks in image classification tasks. We focus on the"fine-to-coarse"transfer learning setting where the pretraining label is more fine... | [
29509
] | Train |
38,187 | 16 | Title: Impact of Light and Shadow on Robustness of Deep Neural Networks
Abstract: Deep neural networks (DNNs) have made remarkable strides in various computer vision tasks, including image classification, segmentation, and object detection. However, recent research has revealed a vulnerability in advanced DNNs when fac... | [] | Train |
38,188 | 27 | Title: OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control
Abstract: This paper presents OpTaS, a task specification Python library for Trajectory Optimization (TO) and Model Predictive Control (MPC) in robotics. Both TO and MPC are increasingly receiving int... | [
41204
] | Validation |
38,189 | 2 | Title: Constraint Automata on Infinite Data Trees: From CTL(Z)/CTL*(Z) To Decision Procedures
Abstract: We introduce the class of tree constraint automata with data values in Z (equipped with the less than relation and equality predicates to constants) and we show that the nonemptiness problem is ExpTime-complete. Usin... | [] | Train |
38,190 | 24 | Title: Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates
Abstract: Continual learning (CL) refers to the ability of an intelligent system to sequentially acquire and retain knowledge from a stream of data with as little computational overhead as possible. To this end; reg... | [
10038,
7175
] | Train |
38,191 | 27 | Title: A Nonlinear Model Predictive Control Strategy for Autonomous Racing of Scale Vehicles
Abstract: A Nonlinear Model Predictive Control (NMPC) strategy aimed at controlling a small-scale car model for autonomous racing competitions is presented in this paper. The proposed control strategy is concerned with minimizi... | [
27877,
2229
] | Validation |
38,192 | 30 | Title: Learning Language-Specific Layers for Multilingual Machine Translation
Abstract: Multilingual Machine Translation promises to improve translation quality between non-English languages. This is advantageous for several reasons, namely lower latency (no need to translate twice), and reduced error cascades (e.g., a... | [
27507,
1012
] | Train |
38,193 | 4 | Title: Fuzzification-based Feature Selection for Enhanced Website Content Encryption
Abstract: We propose a novel approach that utilizes fuzzification theory to perform feature selection on website content for encryption purposes. Our objective is to identify and select the most relevant features from the website by ha... | [
45121,
24681,
41154,
33605
] | Train |
38,194 | 4 | Title: Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools
Abstract: Neural Code Completion Tools (NCCTs) have reshaped the field of software development, which accurately suggest contextually-relevant code snippets benefiting from language modeling techniques. However, language mo... | [
21011,
33490,
20787,
18758
] | Train |
38,195 | 24 | Title: Feature Expansion for Graph Neural Networks
Abstract: Graph neural networks aim to learn representations for graph-structured data and show impressive performance, particularly in node classification. Recently, many methods have studied the representations of GNNs from the perspective of optimization goals and s... | [] | Validation |
38,196 | 4 | Title: A theoretical basis for Blockchain Extractable Value
Abstract: Extractable Value refers to a wide class of economic attacks to public blockchains, where adversaries with the power to reorder, drop or insert transactions in a block can"extract"value from smart contracts. Empirical research has shown that mainstre... | [
26646
] | Train |
38,197 | 16 | Title: A Low-Cost Portable Apparatus to Analyze Oral Fluid Droplets and Quantify the Efficacy of Masks
Abstract: Every year, about 4 million people die from upper respiratory infections. Mask-wearing is crucial in preventing the spread of pathogen-containing droplets, which is the primary cause of these illnesses. Howe... | [] | Test |
38,198 | 24 | Title: Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling
Abstract: We introduce a method for detecting latent hierarchical structure in data based on nonnegative matrix factorization. Datasets with hierarchical structure arise in a wide variety of fields, such as document classification... | [] | Train |
38,199 | 30 | Title: A Multilingual Evaluation of NER Robustness to Adversarial Inputs
Abstract: Adversarial evaluations of language models typically focus on English alone. In this paper, we performed a multilingual evaluation of Named Entity Recognition (NER) in terms of its robustness to small perturbations in the input. Our resu... | [
12128,
38849,
24308
] | Validation |
38,200 | 30 | Title: EMBRACE: Evaluation and Modifications for Boosting RACE
Abstract: When training and evaluating machine reading comprehension models, it is very important to work with high-quality datasets that are also representative of real-world reading comprehension tasks. This requirement includes, for instance, having ques... | [] | Validation |
38,201 | 24 | Title: Sample Size in Natural Language Processing within Healthcare Research
Abstract: Sample size calculation is an essential step in most data-based disciplines. Large enough samples ensure representativeness of the population and determine the precision of estimates. This is true for most quantitative studies, inclu... | [] | Train |
38,202 | 27 | Title: Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions
Abstract: When robots perform long action sequences, users will want to easily and reliably find out what they have done. We therefore demonstrate the task of learning to summarize and answer questions about a robot agent's past acti... | [] | Validation |
38,203 | 31 | Title: Transferable Fairness for Cold-Start Recommendation
Abstract: With the increasing use and impact of recommender systems in our daily lives, how to achieve fairness in recommendation has become an important problem. Previous works on fairness-aware recommendation mainly focus on a predefined set of (usually warm-... | [
66
] | Validation |
38,204 | 24 | Title: Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Abstract: Not all positive pairs are beneficial to time series contrastive learning. In this paper, we study two types of bad positive pairs that impair the quality of time series representation learned through contrastive learni... | [] | Train |
38,205 | 16 | Title: Which Tokens to Use? Investigating Token Reduction in Vision Transformers
Abstract: Since the introduction of the Vision Transformer (ViT), researchers have sought to make ViTs more efficient by removing redundant information in the processed tokens. While different methods have been explored to achieve this goa... | [
14601
] | Train |
38,206 | 24 | Title: Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation
Abstract: This study proposes a novel approach for solving the PU learning problem based on an anomaly-detection strategy. Latent encodings extracted from positive-labeled data are linearly combined to acquire new samples. These new samples ar... | [] | Train |
38,207 | 16 | Title: Design Booster: A Text-Guided Diffusion Model for Image Translation with Spatial Layout Preservation
Abstract: Diffusion models are able to generate photorealistic images in arbitrary scenes. However, when applying diffusion models to image translation, there exists a trade-off between maintaining spatial struct... | [
17640,
5682
] | Validation |
38,208 | 30 | Title: GPTScore: Evaluate as You Desire
Abstract: Generative Artificial Intelligence (AI) has enabled the development of sophisticated models that are capable of producing high-caliber text, images, and other outputs through the utilization of large pre-trained models. Nevertheless, assessing the quality of the generat... | [
31493,
41350,
27015,
17417,
34953,
5387,
34963,
25751,
33815,
39451,
34208,
23846,
29223,
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7339,
14380,
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34103,
2622,
17087,
35388,
37053,
24259,
28362,
29516,
6094,
16214,
28886,
... | Train |
38,209 | 2 | Title: Automated Theorem Proving in First-Order Logic Modulo: On the Difference between Type Theory and Set Theory
Abstract: nan | [] | Train |
38,210 | 4 | Title: SALSA PICANTE: a machine learning attack on LWE with binary secrets
Abstract: Learning with Errors (LWE) is a hard math problem underpinning many proposed post-quantum cryptographic (PQC) systems. The only PQC Key Exchange Mechanism (KEM) standardized by NIST is based on module~LWE, and current publicly availabl... | [
29461
] | Test |
38,211 | 10 | Title: Trends in Explainable AI (XAI) Literature
Abstract: TheXAIliteratureisdecentralized,bothinterminologyandinpublicationvenues,butrecentyearssawthecommunityconvergearound keywords that make it possible to more reliably discover papers automatically. We use keyword search using the SemanticScholar API and manual cur... | [
18515
] | Test |
38,212 | 7 | Title: Analyzing drop coalescence in microfluidic device with a deep learning generative model
Abstract: Predicting drop coalescence based on process parameters is crucial for experimental design in chemical engineering. However, predictive models can suffer from the lack of training data and more importantly, the labe... | [] | Test |
38,213 | 30 | Title: An Invariant Learning Characterization of Controlled Text Generation
Abstract: Controlled generation refers to the problem of creating text that contains stylistic or semantic attributes of interest. Many approaches reduce this problem to training a predictor of the desired attribute. For example, researchers ho... | [] | Train |
38,214 | 28 | Title: Age Minimization with Energy and Distortion Constraints
Abstract: In this paper, we consider a status update system, where an access point collects measurements from multiple sensors that monitor a common physical process, fuses them, and transmits the aggregated sample to the destination over an erasure channel... | [] | Test |
38,215 | 16 | Title: Re-ReND: Real-time Rendering of NeRFs across Devices
Abstract: This paper proposes a novel approach for rendering a pre-trained Neural Radiance Field (NeRF) in real-time on resource-constrained devices. We introduce Re-ReND, a method enabling Real-time Rendering of NeRFs across Devices. Re-ReND is designed to ac... | [
32496
] | Test |
38,216 | 24 | Title: Exact Inference for Continuous-Time Gaussian Process Dynamics
Abstract: Physical systems can often be described via a continuous-time dynamical system. In practice, the true system is often unknown and has to be learned from measurement data. Since data is typically collected in discrete time, e.g. by sensors, m... | [] | Train |
38,217 | 24 | Title: On Optimal Caching and Model Multiplexing for Large Model Inference
Abstract: Large Language Models (LLMs) and other large foundation models have achieved noteworthy success, but their size exacerbates existing resource consumption and latency challenges. In particular, the large-scale deployment of these models... | [
33220,
15301,
13510,
41554,
36179,
31256,
39451,
6942
] | Validation |
38,218 | 30 | Title: PolyLM: An Open Source Polyglot Large Language Model
Abstract: Large language models (LLMs) demonstrate remarkable ability to comprehend, reason, and generate following nature language instructions. However, the development of LLMs has been primarily focused on high-resource languages, such as English, thereby l... | [
14592,
13345,
13700,
25892,
33220,
37215,
19083,
109,
34963,
12628,
29396,
25751,
6328,
36986,
29725,
11614,
29375
] | Test |
38,219 | 24 | Title: Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Abstract: Data-driven machine learning (ML) is promoted as one potential technology to be used in next-generations wireless systems. This led to a large body of research work that applies ML ... | [
15194
] | Test |
38,220 | 37 | Title: Database Technology Evolution
Abstract: This paper reviews suggestions for changes to database technology coming from the work of many researchers, particularly those working with evolving big data. We discuss new approaches to remote data access and standards that better provide for durability and auditability ... | [
40566
] | Validation |
38,221 | 16 | Title: Two-Stream Regression Network for Dental Implant Position Prediction
Abstract: In implant prosthesis treatment, the design of the surgical guide heavily relies on the manual location of the implant position, which is subjective and prone to doctor's experiences. When deep learning based methods has started to be... | [
25236
] | Train |
38,222 | 16 | Title: UPSCALE: Unconstrained Channel Pruning
Abstract: As neural networks grow in size and complexity, inference speeds decline. To combat this, one of the most effective compression techniques -- channel pruning -- removes channels from weights. However, for multi-branch segments of a model, channel removal can intro... | [] | Train |
38,223 | 16 | Title: Enlarged Large Margin Loss for Imbalanced Classification
Abstract: We propose a novel loss function for imbalanced classification. LDAM loss, which minimizes a margin-based generalization bound, is widely utilized for class-imbalanced image classification. Although, by using LDAM loss, it is possible to obtain l... | [] | Train |
38,224 | 27 | Title: EasyHeC: Accurate and Automatic Hand-eye Calibration via Differentiable Rendering and Space Exploration
Abstract: Hand-eye calibration is a critical task in robotics, as it directly affects the efficacy of critical operations such as manipulation and grasping. Traditional methods for achieving this objective nec... | [
8187,
15116
] | Test |
38,225 | 6 | Title: ActorLens: Visual Analytics for High-level Actor Identification in MOBA Games
Abstract: Multiplayer Online Battle Arenas (MOBAs) have garnered a substantial player base worldwide. Nevertheless, the presence of noxious players, commonly referred to as"actors", can significantly compromise game fairness by exhibit... | [] | Validation |
38,226 | 3 | Title: A Game-Based Learning Application to Help Learners to Practice Mathematical Patterns and Structures
Abstract: Purpose - The purpose of this study is to develop a game-based mobile application to help learners practice mathematical patterns and structures. Method - The study followed a mixed-method research desig... | [] | Test |
38,227 | 5 | Title: CXL Memory as Persistent Memory for Disaggregated HPC: A Practical Approach
Abstract: In the landscape of High-Performance Computing (HPC), the quest for efficient and scalable memory solutions remains paramount. The advent of Compute Express Link (CXL) introduces a promising avenue with its potential to functio... | [
44712,
2337,
45436,
24801
] | Train |
38,228 | 28 | Title: Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular Networks
Abstract: To accommodate the explosive wireless traffics, massive multiple-input multiple-output (MIMO) is regarded as one of the key enabling technologies for next-generation communication systems. In m... | [] | Train |
38,229 | 3 | Title: Toward an Ethics of AI Belief
Abstract: Philosophical research in AI has hitherto largely focused on the ethics of AI. In this paper we, an ethicist of belief and a machine learning scientist, suggest that we need to pursue a novel area of philosophical research in AI - the epistemology of AI, and in particular ... | [
32944,
40192,
44050,
13700
] | Train |
38,230 | 30 | Title: Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction
Abstract: Most research in Relation Extraction (RE) involves the English language, mainly due to the lack of multi-lingual resources. We propose Multi-CrossRE, the broadest multi-lingual dataset for RE, including 26 languages in addition ... | [] | Validation |
38,231 | 5 | Title: Conditionally Optimal Parallel Coloring of Forests
Abstract: We show the first conditionally optimal deterministic algorithm for $3$-coloring forests in the low-space massively parallel computation (MPC) model. Our algorithm runs in $O(\log \log n)$ rounds and uses optimal global space. The best previous algorit... | [
955,
13623
] | Train |
38,232 | 34 | Title: Faster Min-Cost Flow on Bounded Treewidth Graphs
Abstract: We present a $\widetilde{O}(m\sqrt{\tau}+n\tau)$ time algorithm for finding a minimum-cost flow in graphs with $n$ vertices and $m$ edges, given a tree decomposition of width $\tau$ and polynomially bounded integer costs and capacities. This improves upo... | [] | Train |
38,233 | 30 | Title: Ahead of the Text: Leveraging Entity Preposition for Financial Relation Extraction
Abstract: In the context of the ACM KDF-SIGIR 2023 competition, we undertook an entity relation task on a dataset of financial entity relations called REFind. Our top-performing solution involved a multi-step approach. Initially, ... | [
40158
] | Train |
38,234 | 7 | Title: Multi-Period Portfolio Optimisation Using a Regime-Switching Predictive Framework
Abstract: Regime-switching poses both problems and opportunities for portfolio managers. If a switch in the behaviour of the markets is not quickly detected it can be a source of loss, since previous trading positions may be inappr... | [] | Validation |
38,235 | 30 | Title: DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Abstract: The increasing fluency and widespread usage of large language models (LLMs) highlight the desirability of corresponding tools aiding detection of LLM-generated text. In this paper, we identify a property of the structure ... | [
19968,
31362,
6531,
1416,
39438,
24464,
14353,
17938,
37395,
20756,
37648,
6934,
22935,
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38673,
22300,
44956,
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28831,
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11817,
32044,
25389,
22574,
35502,
19378,
6836,
5174,
13239,
32185,
36025,
315,
... | Train |
38,236 | 16 | Title: Recognition of Handwritten Japanese Characters Using Ensemble of Convolutional Neural Networks
Abstract: The Japanese writing system is complex, with three character types of Hiragana, Katakana, and Kanji. Kanji consists of thousands of unique characters, further adding to the complexity of character identificat... | [] | Train |
38,237 | 30 | Title: Applications and Challenges of Sentiment Analysis in Real-life Scenarios
Abstract: Sentiment analysis has benefited from the availability of lexicons and benchmark datasets created over decades of research. However, its applications to the real world are a driving force for research in SA. This chapter describes... | [] | Train |
38,238 | 11 | Title: Spiral Sweeping Search for Smart Evaders
Abstract: Consider a given planar circular region, in which there is an unknown number of smart mobile evaders. We wish to detect evaders using a line formation of sweeping agents whose total sensing length is predetermined. We propose procedures for designing spiral swee... | [] | Validation |
38,239 | 24 | Title: Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models
Abstract: Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city management. However, DL models ha... | [
28972
] | Train |
38,240 | 6 | Title: Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations
Abstract: The local explanation provides heatmaps on images to explain how Convolutional Neural Networks (CNNs) derive their output. Due to its visual straightforwardness, the method has been one of the m... | [] | Train |
38,241 | 26 | Title: Continuous-Time Graph Learning for Cascade Popularity Prediction
Abstract: Information propagation on social networks could be modeled as cascades, and many efforts have been made to predict the future popularity of cascades. However, most of the existing research treats a cascade as an individual sequence. Actu... | [] | Train |
38,242 | 24 | Title: Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment
Abstract: Reinforcement learning (RL) has recently proven itself as a powerful instrument for solving complex problems and even surpassed human performance in several challenging applications. This signifies tha... | [] | Validation |
38,243 | 24 | Title: DOST - Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels
Abstract: The enormous demand for annotated data brought forth by deep learning techniques has been accompanied by the problem of annotation noise. Although this issue has been widely discussed in machine learning li... | [] | Train |
38,244 | 27 | Title: 3D Trajectory Planning for UAV-based Search Missions: An Integrated Assessment and Search Planning Approach
Abstract: The ability to efficiently plan and execute search missions in challenging and complex environments during natural and man-made disasters is imperative. In many emergency situations, precise navi... | [
6352,
5581,
45375
] | Validation |
38,245 | 24 | Title: A Topological Distance Measure between Multi-Fields for Classification and Analysis of Shapes and Data
Abstract: Distance measures play an important role in shape classification and data analysis problems. Topological distances based on Reeb graphs and persistence diagrams have been employed to obtain effective ... | [] | Train |
38,246 | 30 | Title: Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model
Abstract: Sentence embedding is one of the most fundamental tasks in Natural Language Processing and plays an important role in various tasks. The recent breakthrough in sentence embedding is achieved by pre-trained langua... | [
10554
] | Train |
38,247 | 4 | Title: Vulnerability Analysis of Digital Banks' Mobile Applications
Abstract: There is a rapid increase in the number of mobile banking applications' users due to an increase in smart mobile devices. Mobile banking is a financial transaction and service offered through mobile devices. Almost all financial institutions ... | [] | Validation |
38,248 | 27 | Title: Role of single particle motility statistics on efficiency of targeted delivery of micro-robot swarms
Abstract: The study of dynamics of single active particles plays an important role in the development of artificial or hybrid micro-systems for bio-medical and other applications at micro-scale. Here, we utilize ... | [] | Validation |
38,249 | 17 | Title: Estimating Discrete Total Curvature with Per Triangle Normal Variation
Abstract: We introduce a novel approach for measuring the total curvature at every triangle of a discrete surface. This method takes advantage of the relationship between per triangle total curvature and the Dirichlet energy of the Gauss map.... | [] | Train |
38,250 | 9 | Title: A Quantum EL Theorem
Abstract: In this paper, we prove a quantum version of the EL Theorem. It states that non-exotic projections of large rank must have simple quantum states in their images. A consequence to this is there is no way to communicate a quantum source with corresponding large enough von Neumann ent... | [
27105
] | Train |
38,251 | 9 | Title: Generative Models of Huge Objects
Abstract: This work initiates the systematic study of explicit distributions that are indistinguishable from a single exponential-size combinatorial object. In this we extend the work of Goldreich, Goldwasser and Nussboim (SICOMP 2010) that focused on the implementation of huge ... | [] | Train |
38,252 | 24 | Title: Evaluating robustness of support vector machines with the Lagrangian dual approach
Abstract: Adversarial examples bring a considerable security threat to support vector machines (SVMs), especially those used in safety-critical applications. Thus, robustness verification is an essential issue for SVMs, which can ... | [] | Train |
38,253 | 30 | Title: Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation
Abstract: While summarization has been extensively researched in natural language processing (NLP), cross-lingual cross-temporal summarization (CLCTS) is a largely unexplored area that has the potential to improve cross-cultural accessibilit... | [
8644,
17061,
18441,
28809,
12087,
39451,
2234,
16827,
35580,
24479
] | Train |
38,254 | 36 | Title: Condorcet Markets
Abstract: The paper studies information markets about single events from an epistemic social choice perspective. Within the classical Condorcet error model for collective binary decisions, we establish equivalence results between elections and markets, showing that the alternative that would be... | [] | Train |
38,255 | 24 | Title: Well-Calibrated Probabilistic Predictive Maintenance using Venn-Abers
Abstract: When using machine learning for fault detection, a common problem is the fact that most data sets are very unbalanced, with the minority class (a fault) being the interesting one. In this paper, we investigate the usage of Venn-Abers... | [] | Train |
38,256 | 23 | Title: FlaPy: Mining Flaky Python Tests at Scale
Abstract: Flaky tests obstruct software development, and studying and proposing mitigations against them has therefore become an important focus of software engineering research. To conduct sound investigations on test flakiness, it is crucial to have large, diverse, and... | [] | Validation |
38,257 | 23 | Title: New Information Technologies, Simulation and Automation
Abstract: The monograph summarizes and analyzes the current state of development of computer and mathematical simulation and modeling, the automation of management processes, the use of information technologies in education, the design of information system... | [] | Train |
38,258 | 10 | Title: JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games
Abstract: This paper presents an empirical exploration of non-transitivity in perfect-information games, specifically focusing on Xiangqi, a traditional Chinese board game comparable in game-tree complexity to chess and shogi. ... | [] | Train |
38,259 | 16 | Title: A Comprehensive Comparison of Projections in Omnidirectional Super-Resolution
Abstract: Super-Resolution (SR) has gained increasing research attention over the past few years. With the development of Deep Neural Networks (DNNs), many super-resolution methods based on DNNs have been proposed. Although most of the... | [] | Train |
38,260 | 16 | Title: Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
Abstract: Current research on cross-modal retrieval is mostly English-oriented, as the availability of a large number of English-oriented human-labeled vision-language corpora. In order to break the limit of non-English labeled data, ... | [] | Train |
38,261 | 16 | Title: Feature-compatible Progressive Learning for Video Copy Detection
Abstract: Video Copy Detection (VCD) has been developed to identify instances of unauthorized or duplicated video content. This paper presents our second place solutions to the Meta AI Video Similarity Challenge (VSC22), CVPR 2023. In order to comp... | [] | Validation |
38,262 | 30 | Title: Compositional Exemplars for In-context Learning
Abstract: Large pretrained language models (LMs) have shown impressive In-Context Learning (ICL) ability, where the model learns to do an unseen task via a prompt consisting of input-output examples as the demonstration, without any parameter updates. The performan... | [
14240,
2369,
19936,
31264,
7397,
26886,
36392,
24841,
18572,
35375,
31923,
12724,
22998,
23836,
9566,
43327
] | Train |
38,263 | 24 | Title: Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
Abstract: Although reinforcement learning has seen tremendous success recently, this kind of trial-and-error learning can be impractical or inefficient in complex environments. The use of demonstrations, on the other hand, enables agents ... | [
8983
] | Validation |
38,264 | 30 | Title: Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
Abstract: Large multilingual models have inspired a new class of word alignment methods, which work well for the model’s pretraining languages. However, the languages most in need of automatic alignment are low-r... | [] | Train |
38,265 | 16 | Title: Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving
Abstract: We describe the lessons learned from targeting agricultural detection problem-solving, when subject to low resolution input maps, by means of Machine Learning-based super-resolution approaches. The underlying do... | [] | Train |
38,266 | 22 | Title: Saturating automata for game semantics
Abstract: Saturation is a fundamental game-semantic property satisfied by strategies that interpret higher-order concurrent programs. It states that the strategy must be closed under certain rearrangements of moves, and corresponds to the intuition that program moves (P-mov... | [] | Train |
38,267 | 1 | Title: Edge-Assisted Lightweight Region-of-Interest Extraction and Transmission for Vehicle Perception
Abstract: To enhance on-road environmental perception for autonomous driving, accurate and real-time analytics on high-resolution video frames generated from on-board cameras be-comes crucial. In this paper, we design... | [
15736,
19256
] | Train |
38,268 | 6 | Title: Voicify Your UI
Abstract: Nowadays, voice assistants help users complete tasks on the smartphone with voice commands, replacing traditional touchscreen interactions when such interactions are inhibited. However, the usability of those tools remains moderate due to the problems in understanding rich language vari... | [] | Validation |
38,269 | 16 | Title: Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
Abstract: Generalized category discovery (GCD) is a recently proposed open-world problem, which aims to automatically cluster partially labeled data. The main challenge is that the unlabeled data contain instances that are not only from... | [
5885
] | Train |
38,270 | 16 | Title: GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
Abstract: LiDAR place recognition approaches based on deep learning suffer a significant degradation in performance when there is a shift between the distribution of the training and testing datasets, with re-training ... | [
3176,
21093
] | Train |
38,271 | 6 | Title: ESID: Exploring the Design and Development of a Visual Analytics Tool for Epidemiological Emergencies
Abstract: Visual analytics tools can help illustrate the spread of infectious diseases and enable informed decisions on epidemiological and public health issues. To create visualisation tools that are intuitive,... | [] | Train |
38,272 | 30 | Title: State Spaces Aren’t Enough: Machine Translation Needs Attention
Abstract: Structured State Spaces for Sequences (S4) is a recently proposed sequence model with successful applications in various tasks, e.g. vision, language modelling, and audio. Thanks to its mathematical formulation, it compresses its input to ... | [
6457,
23731,
23236
] | Validation |
38,273 | 2 | Title: Profinite lambda-terms and parametricity
Abstract: Combining ideas coming from Stone duality and Reynolds parametricity, we formulate in a clean and principled way a notion of profinite lambda-term which, we show, generalizes at every type the traditional notion of profinite word coming from automata theory. We ... | [
44813
] | Train |
38,274 | 16 | Title: Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution
Abstract: Since the number of incident energies is limited, it is difficult to directly acquire hyperspectral images (HSI) with high spatial resolution. Considering the high dimensionality and correlation of HSI, super-resol... | [] | Train |
38,275 | 4 | Title: Deep Learning model integrity checking mechanism using watermarking technique
Abstract: — In response to the growing popularity of Machine Learning (ML) techniques to solve problems in various industries, various malicious groups have started to target such techniques in their attack plan. However, as ML models ... | [] | Test |
38,276 | 25 | Title: Who is Speaking Actually? Robust and Versatile Speaker Traceability for Voice Conversion
Abstract: Voice conversion (VC), as a voice style transfer technology, is becoming increasingly prevalent while raising serious concerns about its illegal use. Proactively tracing the origins of VC-generated speeches, i.e., ... | [] | Validation |
38,277 | 25 | Title: The defender's perspective on automatic speaker verification: An overview
Abstract: Automatic speaker verification (ASV) plays a critical role in security-sensitive environments. Regrettably, the reliability of ASV has been undermined by the emergence of spoofing attacks, such as replay and synthetic speech, as ... | [] | Validation |
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