node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
20,578 | 16 | Title: Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder
Abstract: Seismic acquisition footprints appear as stably faint and dim structures and emerge fully spatially coherent, causing inevitable damage to useful signals during the suppression process. Various footprint removal metho... | [] | Train |
20,579 | 24 | Title: Theoretical Hardness and Tractability of POMDPs in RL with Partial Hindsight State Information
Abstract: Partially observable Markov decision processes (POMDPs) have been widely applied to capture many real-world applications. However, existing theoretical results have shown that learning in general POMDPs could... | [
26407
] | Train |
20,580 | 28 | Title: Neural Network Architectures for Optical Channel Nonlinear Compensation in Digital Subcarrier Multiplexing Systems
Abstract: In this work, we propose to use various artificial neural network (ANN) structures for modeling and compensation of intra- and inter-subcarrier fiber nonlinear interference in digital subc... | [
42689
] | Train |
20,581 | 10 | Title: Ambient Technology & Intelligence
Abstract: Today, we have a mixture of young and older individuals, people with special needs, and people who can care for themselves. Over 1 billion people are estimated to be disabled; this figure corresponds to about 15% of the world's population, with 3.8% (approximately 190 ... | [] | Train |
20,582 | 23 | Title: Software Entity Recognition with Noise-Robust Learning
Abstract: Recognizing software entities such as library names from free-form text is essential to enable many software engineering (SE) technologies, such as traceability link recovery, automated documentation, and API recommendation. While many approaches h... | [
10053
] | Validation |
20,583 | 2 | Title: Verification of Sometimes Termination of Lazy-Bounded Declarative Distributed Systems
Abstract: Declarative Distributed Systems (DDSs) are distributed systems grounded in logic programming. Although DDS model-checking is undecidable in general, we detect decidable cases by tweaking the data-source bounds, the me... | [] | Train |
20,584 | 4 | Title: HoneyEVSE: An Honeypot to emulate Electric Vehicle Supply Equipments
Abstract: To fight climate change, new"green"technology are emerging, most of them using electricity as a power source. Among the solutions, Electric Vehicles (EVs) represent a central asset in the future transport system. EVs require a complex... | [] | Test |
20,585 | 16 | Title: Capsules as viewpoint learners for human pose estimation
Abstract: The task of human pose estimation (HPE) deals with the ill-posed problem of estimating the 3D position of human joints directly from images and videos. In recent literature, most of the works tackle the problem mostly by using convolutional neura... | [
37058
] | Train |
20,586 | 27 | Title: An Investigation into Active Control for Accessible Orbital Flight
Abstract: Recently, a practical and publicly accessible satellite standard called the SmallSat has amplified public involvement in orbital research. This allows for flexible and efficient deployments of impactful low-earth-orbit experiments that ... | [] | Train |
20,587 | 4 | Title: The Vulnerable Nature of Decentralized Governance in DeFi
Abstract: Decentralized Finance (DeFi) platforms are often governed by Decentralized Autonomous Organizations (DAOs) which are implemented via governance protocols. Governance tokens are distributed to users of the platform, granting them voting rights in... | [] | Train |
20,588 | 16 | Title: VideoLLM: Modeling Video Sequence with Large Language Models
Abstract: With the exponential growth of video data, there is an urgent need for automated technology to analyze and comprehend video content. However, existing video understanding models are often task-specific and lack a comprehensive capability of h... | [
10624,
14466,
41183,
13700,
37765,
14086,
11815,
15080,
15270,
42270,
21375,
38894,
19122,
18621,
25879,
381,
1854,
12127
] | Test |
20,589 | 10 | Title: A Protocol for Intelligible Interaction Between Agents That Learn and Explain
Abstract: Recent engineering developments have seen the emergence of Machine Learning (ML) as a powerful form of data analysis with widespread applicability beyond its historical roots in the design of autonomous agents. However, relat... | [
45284
] | Test |
20,590 | 24 | Title: Learning PDE Solution Operator for Continuous Modeling of Time-Series
Abstract: Learning underlying dynamics from data is important and challenging in many real-world scenarios. Incorporating differential equations (DEs) to design continuous networks has drawn much attention recently, however, most prior works m... | [] | Test |
20,591 | 24 | Title: ASP: Learn a Universal Neural Solver!
Abstract: Applying machine learning to combinatorial optimization problems has the potential to improve both efficiency and accuracy. However, existing learning-based solvers often struggle with generalization when faced with changes in problem distributions and scales. In t... | [
34559
] | Train |
20,592 | 24 | Title: iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer
Abstract: In the last few years, the success of Transformers in computer vision has stimulated the discovery of many alternative models that compete with Transformers, such as the MLP-Mixer. Despite their weak induced b... | [
44999
] | Train |
20,593 | 27 | Title: A study on the Lombard Effect in telepresence robotics
Abstract: In this study, we present a new experiment in order to study the Lombard effect in telepresence robotics. In this experiment, one person talks with a robot controled remotely by someone in a different room. The remote pilot (R) is immersed in both ... | [] | Validation |
20,594 | 31 | Title: MM-GEF: Multi-modal representation meet collaborative filtering
Abstract: In modern e-commerce, item content features in various modalities offer accurate yet comprehensive information to recommender systems. The majority of previous work either focuses on learning effective item representation during modelling ... | [] | Test |
20,595 | 16 | Title: A Closer Look at Parameter-Efficient Tuning in Diffusion Models
Abstract: Large-scale diffusion models like Stable Diffusion are powerful and find various real-world applications while customizing such models by fine-tuning is both memory and time inefficient. Motivated by the recent progress in natural language... | [
38066,
34074,
8308,
15983
] | Validation |
20,596 | 24 | Title: Accelerated Convergence of Nesterov's Momentum for Deep Neural Networks under Partial Strong Convexity
Abstract: Current state-of-the-art analyses on the convergence of gradient descent for training neural networks focus on characterizing properties of the loss landscape, such as the Polyak-Lojaciewicz (PL) cond... | [] | Train |
20,597 | 24 | Title: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Abstract: Heterogeneous graph neural networks (HGNNs) have exhibited exceptional efficacy in modeling the complex heterogeneity in heterogeneous information networks (HINs). The critical advantage of HGNNs is their ability to handle ... | [] | Train |
20,598 | 30 | Title: BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models
Abstract: Pretrained Language Models (PLMs) harbor inherent social biases that can result in harmful real-world implications. Such social biases are measured through the probability values that PLMs output for different social groups and attri... | [
15982,
2776,
22097,
34103,
2008,
33757
] | Train |
20,599 | 24 | Title: Trust-Region-Free Policy Optimization for Stochastic Policies
Abstract: Trust Region Policy Optimization (TRPO) is an iterative method that simultaneously maximizes a surrogate objective and enforces a trust region constraint over consecutive policies in each iteration. The combination of the surrogate objective... | [] | Validation |
20,600 | 3 | Title: Algorithms as Social-Ecological-Technological Systems: an Environmental Justice Lens on Algorithmic Audits
Abstract: This paper reframes algorithmic systems as intimately connected to and part of social and ecological systems, and proposes a first-of-its-kind methodology for environmental justice-oriented algori... | [
10812
] | Train |
20,601 | 30 | Title: K-UniMorph: Korean Universal Morphology and its Feature Schema
Abstract: We present in this work a new Universal Morphology dataset for Korean. Previously, the Korean language has been underrepresented in the field of morphological paradigms amongst hundreds of diverse world languages. Hence, we propose this Uni... | [] | Test |
20,602 | 28 | Title: Spectral and Energy Efficiency Maximization of MISO STAR-RIS-Assisted URLLC Systems
Abstract: This paper proposes a general optimization framework to improve the spectral and energy efficiency (EE) of ultra-reliable low-latency communication (URLLC) simultaneous-transfer-and-receive (STAR) reconfigurable intelli... | [
23331,
2533,
44233,
15307,
20788
] | Test |
20,603 | 10 | Title: Route Planning Using Nature-Inspired Algorithms
Abstract: nan | [] | Train |
20,604 | 16 | Title: Black-box Backdoor Defense via Zero-shot Image Purification
Abstract: Backdoor attacks inject poisoned data into the training set, resulting in misclassification of the poisoned samples during model inference. Defending against such attacks is challenging, especially in real-world black-box settings where only m... | [
28441
] | Train |
20,605 | 16 | Title: Angle Sensitive Pixels for Lensless Imaging on Spherical Sensors
Abstract: We propose OrbCam, a lensless architecture for imaging with spherical sensors. Prior work in lensless imager techniques have focused largely on using planar sensors; for such designs, it is important to use a modulation element, e.g. ampl... | [] | Train |
20,606 | 16 | Title: You Only Train Once: Multi-Identity Free-Viewpoint Neural Human Rendering from Monocular Videos
Abstract: We introduce You Only Train Once (YOTO), a dynamic human generation framework, which performs free-viewpoint rendering of different human identities with distinct motions, via only one-time training from mon... | [
1213
] | Train |
20,607 | 24 | Title: EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
Abstract: The expansion of explainable artificial intelligence as a field of research has generated numerous methods of visualizing and understanding the black box of a machine learning model. Attribution maps are commo... | [] | Train |
20,608 | 4 | Title: Exploring the Environmental Benefits of In-Process Isolation for Software Resilience
Abstract: Memory-related errors remain an important cause of software vulnerabilities. While mitigation techniques such as using memory-safe languages are promising solutions, these do not address software resilience and availab... | [] | Test |
20,609 | 16 | Title: Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval
Abstract: In recent years, sketch-based 3D shape retrieval has attracted growing attention. While many previous studies have focused on cross-modal matching between hand-drawn sketches and 3D shapes, the critical issue of how to h... | [] | Validation |
20,610 | 24 | Title: On the Generalization Error of Meta Learning for the Gibbs Algorithm
Abstract: We analyze the generalization ability of joint-training meta learning algorithms via the Gibbs algorithm. Our exact characterization of the expected meta generalization error for the meta Gibbs algorithm is based on symmetrized KL inf... | [] | Train |
20,611 | 24 | Title: Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks
Abstract: Federated systems enable collaborative training on highly heterogeneous data through model personalization, which can be facilitated by employing multi-task learning algorithms. However, significant variation in dev... | [] | Train |
20,612 | 24 | Title: Overcoming Prior Misspecification in Online Learning to Rank
Abstract: The recent literature on online learning to rank (LTR) has established the utility of prior knowledge to Bayesian ranking bandit algorithms. However, a major limitation of existing work is the requirement for the prior used by the algorithm t... | [
33674
] | Train |
20,613 | 16 | Title: A novel Multi to Single Module for small object detection
Abstract: Small object detection presents a significant challenge in computer vision and object detection. The performance of small object detectors is often compromised by a lack of pixels and less significant features. This issue stems from information ... | [] | Train |
20,614 | 16 | Title: MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding
Abstract: Monitoring animal behavior can facilitate conservation efforts by providing key insights into wildlife health, population status, and ecosystem function. Automatic recognition of animals and their behaviors is cr... | [] | Train |
20,615 | 4 | Title: Cyber Key Terrain Identification Using Adjusted PageRank Centrality
Abstract: The cyber terrain contains devices, network services, cyber personas, and other network entities involved in network operations. Designing a method that automatically identifies key network entities to network operations is challenging... | [] | Validation |
20,616 | 28 | Title: Commitment over Gaussian Unfair Noisy Channels
Abstract: Commitment is a key primitive which resides at the heart of several cryptographic protocols. Noisy channels can help realize information-theoretically secure commitment schemes, however, their imprecise statistical characterization can severely impair such... | [] | Train |
20,617 | 24 | Title: Adversarial Attacks on Online Learning to Rank with Stochastic Click Models
Abstract: We propose the first study of adversarial attacks on online learning to rank. The goal of the adversary is to misguide the online learning to rank algorithm to place the target item on top of the ranking list linear times to ti... | [] | Test |
20,618 | 16 | Title: Uncertainty-Driven Dense Two-View Structure From Motion
Abstract: This work introducesan effective and practical solution to the dense two-view structure from motion (SfM) problem. One vital question addressed is how to mindfully use per-pixel optical flow correspondence betweentwo frames for accurate pose estim... | [] | Test |
20,619 | 9 | Title: Parameterised and Fine-grained Subgraph Counting, modulo 2
Abstract: Given a class of graphs $\mathcal{H}$, the problem $\oplus\mathsf{Sub}(\mathcal{H})$ is defined as follows. The input is a graph $H\in \mathcal{H}$ together with an arbitrary graph $G$. The problem is to compute, modulo $2$, the number of subgr... | [] | Validation |
20,620 | 10 | Title: Disproving XAI Myths with Formal Methods - Initial Results
Abstract: The advances in Machine Learning (ML) in recent years have been both impressive and far-reaching. However, the deployment of ML models is still impaired by a lack of trust in how the best-performing ML models make predictions. The issue of lack... | [
32630
] | Validation |
20,621 | 24 | Title: Model Explanation Disparities as a Fairness Diagnostic
Abstract: In recent years, there has been a flurry of research focusing on the fairness of machine learning models, and in particular on quantifying and eliminating bias against protected subgroups. One line of work generalizes the notion of protected subgro... | [] | Train |
20,622 | 23 | Title: Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: an Industrial Case Study on Elevator Dispatching Algorithms
Abstract: Real-world Cyber-Physical Systems (CPSs) are usually configurable. Through parameters, it is possible to configure, select or unselect different system funct... | [
13794,
45292
] | Train |
20,623 | 15 | Title: Newad: A register map automation tool for Verilog
Abstract: Large scale scientific instrumentation-and-control FPGA gateware designs have numerous run-time settable parameters. These can be used either for user-level control or by automated processes (e.g., calibration). The number of such parameters in a single... | [] | Test |
20,624 | 24 | Title: Elucidating the Exposure Bias in Diffusion Models
Abstract: Diffusion models have demonstrated impressive generative capabilities, but their 'exposure bias' problem, described as the input mismatch between training and sampling, lacks in-depth exploration. In this paper, we systematically investigate the exposur... | [
41146,
44585,
34317,
37299,
19705,
34074,
20473
] | Validation |
20,625 | 16 | Title: KBNet: Kernel Basis Network for Image Restoration
Abstract: How to aggregate spatial information plays an essential role in learning-based image restoration. Most existing CNN-based networks adopt static convolutional kernels to encode spatial information, which cannot aggregate spatial information adaptively. R... | [
30576,
31155,
11886
] | Train |
20,626 | 30 | Title: HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine
Abstract: Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task. To work well it requires, among other factors: selecting a proper level of generality/specific... | [
5529
] | Train |
20,627 | 5 | Title: Short reasons for long vectors in HPC CPUs: a study based on RISC-V
Abstract: For years, SIMD/vector units have enhanced the capabilities of modern CPUs in High-Performance Computing (HPC) and mobile technology. Typical commercially-available SIMD units process up to 8 double-precision elements with one instruct... | [
1320,
35562,
15059,
24078
] | Train |
20,628 | 5 | Title: Efficient Computation in Congested Anonymous Dynamic Networks
Abstract: An anonymous dynamic network is a network of indistinguishable processes whose communication links may appear or disappear unpredictably over time. Previous research has shown that deterministically computing an arbitrary function of a multi... | [] | Train |
20,629 | 10 | Title: A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Abstract: Exploration in environments which differ across episodes has received increasing attention in recent years. Current methods use some combination of global novelty bonuses, computed using the agent's entire training experience, an... | [] | Train |
20,630 | 28 | Title: Channel Estimation for RIS-Aided MIMO Systems: A Partially Decoupled Atomic Norm Minimization Approach
Abstract: Channel estimation (CE) plays a key role in reconfigurable intelligent surface (RIS)-aided multiple-input multiple-output (MIMO) communication systems, while it poses a challenging task due to the pas... | [] | Test |
20,631 | 20 | Title: The Voronoi Diagram of Rotating Rays With applications to Floodlight Illumination
Abstract: We study the Voronoi Diagram of Rotating Rays, a Voronoi structure where the input sites are rays and the distance function between a point and a site/ray, is the counterclockwise angular distance. This novel Voronoi diag... | [] | Train |
20,632 | 10 | Title: Exploring Deep Learning Approaches to Predict Person and Vehicle Trips: An Analysis of NHTS Data
Abstract: Modern transportation planning relies heavily on accurate predictions of person and vehicle trips. However, traditional planning models often fail to account for the intricacies and dynamics of travel behav... | [] | Train |
20,633 | 8 | Title: Expanding Boundaries: Cross-Media Routing for Seamless Underwater and Aerial Communication
Abstract: The colossal evolution of wireless communication technologies over the past few years has driven increased interest in its integration in a variety of less-explored environments, such as the underwater medium. In... | [] | Validation |
20,634 | 28 | Title: Linear Codes from Simplicial Complexes over F2n
Abstract: In this article we mainly study linear codes over $\mathbb{F}_{2^n}$ and their binary subfield codes. We construct linear codes over $\mathbb{F}_{2^n}$ whose defining sets are the certain subsets of $\mathbb{F}_{2^n}^m$ obtained from mathematical objects ... | [
7843,
9996
] | Validation |
20,635 | 16 | Title: Conditional Text Image Generation with Diffusion Models
Abstract: Current text recognition systems, including those for handwritten scripts and scene text, have relied heavily on image synthesis and augmentation, since it is difficult to realize real-world complexity and diversity through collecting and annotati... | [] | Validation |
20,636 | 17 | Title: Global Topology of 3D Symmetric Tensor Fields
Abstract: There have been recent advances in the analysis and visualization of 3D symmetric tensor fields, with a focus on the robust extraction of tensor field topology. However, topological features such as degenerate curves and neutral surfaces do not live in isol... | [] | Train |
20,637 | 24 | Title: CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Abstract: Unsupervised meta-learning aims to learn the meta knowledge from unlabeled data and rapidly adapt to novel tasks. However, existing approaches may be misled by the context-bias (e.g. background) from the training data. In this paper, we abstract the... | [] | Train |
20,638 | 24 | Title: An Attention Free Conditional Autoencoder For Anomaly Detection in Cryptocurrencies
Abstract: It is difficult to identify anomalies in time series, especially when there is a lot of noise. Denoising techniques can remove the noise but this technique can cause a significant loss of information. To detect anomalie... | [] | Train |
20,639 | 24 | Title: HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets
Abstract: Medical internet of things leads to revolutionary improvements in medical services, also known as smart healthcare. With the big healthcare data, data mining and machine learning can assist wellness management and intelligent di... | [] | Validation |
20,640 | 16 | Title: IRGen: Generative Modeling for Image Retrieval
Abstract: While generative modeling has been ubiquitous in natural language processing and computer vision, its application to image retrieval remains unexplored. In this paper, we recast image retrieval as a form of generative modeling by employing a sequence-to-se... | [
10624,
11527
] | Train |
20,641 | 30 | Title: Evaluation of Word Embeddings for the Social Sciences
Abstract: Word embeddings are an essential instrument in many NLP tasks. Most available resources are trained on general language from Web corpora or Wikipedia dumps. However, word embeddings for domain-specific language are rare, in particular for the social... | [] | Train |
20,642 | 34 | Title: Polylogarithmic Approximation for Robust s-t Path
Abstract: The paper revisits the robust $s$-$t$ path problem, one of the most fundamental problems in robust optimization. In the problem, we are given a directed graph with $n$ vertices and $k$ distinct cost functions (scenarios) defined over edges, and aim to c... | [
42919
] | Validation |
20,643 | 6 | Title: A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models
Abstract: Deep learning is ubiquitous, but its lack of transparency limits its impact on several potential application areas. We demonstrate a virtual reality tool for automating the process of assigning data inputs to differe... | [] | Test |
20,644 | 35 | Title: From MMU to MPU: adaptation of the Pip kernel to constrained devices
Abstract: This article presents a hardware-based memory isolation solution for constrained devices. Existing solutions target high-end embedded systems (typically ARM Cortex-A with a Memory Management Unit, MMU) such as seL4 or Pip (formally ve... | [] | Test |
20,645 | 16 | Title: DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
Abstract: Even though trained mainly on images, we discover that pretrained diffusion models show impressive power in guiding sketch synthesis. In this paper, we present DiffSketcher, an innovative algorithm that creates vectorized... | [
32587
] | Test |
20,646 | 23 | Title: Requirements Engineering for Automotive Perception Systems: an Interview Study
Abstract: Background: Driving automation systems (DAS), including autonomous driving and advanced driver assistance, are an important safety-critical domain. DAS often incorporate perceptions systems that use machine learning (ML) to ... | [] | Train |
20,647 | 34 | Title: STATE-OF-ART Algorithms for Injectivity and Bounded Surjectivity of One-dimensional Cellular Automata
Abstract: Surjectivity and injectivity are the most fundamental problems in cellular automata (CA). We simplify and modify Amoroso's algorithm into optimum and make it compatible with fixed, periodic and reflect... | [] | Test |
20,648 | 16 | Title: Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching
Abstract: Semantic segmentation is a critical step in automated image interpretation and analysis where pixels are classified into one or more predefined semantically meaningful classes. Deep learning approaches for ... | [] | Validation |
20,649 | 4 | Title: The Path to Fault- and Intrusion-Resilient Manycore Systems on a Chip
Abstract: The hardware computing landscape is changing. What used to be distributed systems can now be found on a chip with highly configurable, diverse, specialized and general purpose units. Such Systems-on-a-Chip (SoC) are used to control t... | [
14632,
38771,
5173
] | Validation |
20,650 | 10 | Title: DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems
Abstract: Online social media platforms offer access to a vast amount of information, but sifting through the abundance of news can be overwhelming and tiring for readers. personalised recommendation algorithms can help users find infor... | [] | Train |
20,651 | 6 | Title: Cleaning Up the Streets: Understanding Motivations, Mental Models, and Concerns of Users Flagging Social Media Posts
Abstract: Social media platforms offer flagging, a technical feature that empowers users to report inappropriate posts or bad actors, to reduce online harms. While flags are often presented as fli... | [
3712,
28041,
20823
] | Train |
20,652 | 16 | Title: Enhancing Border Security and Countering Terrorism Through Computer Vision: a Field of Artificial Intelligence
Abstract: nan | [] | Train |
20,653 | 25 | Title: Music De-Limiter Networks Via Sample-Wise Gain Inversion
Abstract: The loudness war, an ongoing phenomenon in the music industry characterized by the increasing final loudness of music while reducing its dynamic range, has been a controversial topic for decades. Music mastering engineers have used limiters to he... | [] | Train |
20,654 | 31 | Title: TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
Abstract: Sequential models that encode user activity for next action prediction have become a popular design choice for building web-scale personalized recommendation systems. Traditional methods of sequential recommendation ... | [] | Train |
20,655 | 4 | Title: Generative Adversarial Networks for Malware Detection: a Survey
Abstract: Since their proposal in the 2014 paper by Ian Goodfellow, there has been an explosion of research into the area of Generative Adversarial Networks. While they have been utilised in many fields, the realm of malware research is a problem sp... | [
1981,
36063
] | Train |
20,656 | 24 | Title: Understanding Model Averaging in Federated Learning on Heterogeneous Data
Abstract: Model averaging, a widely adopted technique in federated learning (FL), aggregates multiple client models trained on heterogeneous data to obtain a well-performed global model. However, the rationale behind its success is not wel... | [] | Train |
20,657 | 27 | Title: MultiVehicle Simulator (MVSim): lightweight dynamics simulator for multiagents and mobile robotics research
Abstract: nan | [] | Train |
20,658 | 30 | Title: EnCore: Pre-Training Entity Encoders using Coreference Chains
Abstract: Entity typing is the task of assigning semantic types to the entities that are mentioned in a text. Since obtaining sufficient amounts of manual annotations is expensive, current state-of-the-art methods are typically trained on automaticall... | [] | Train |
20,659 | 9 | Title: On the complexity of isomorphism problems for tensors, groups, and polynomials III: actions by classical groups
Abstract: We study the complexity of isomorphism problems for d-way arrays, or tensors, under natural actions by classical groups such as orthogonal, unitary, and symplectic groups. Such problems arise... | [] | Validation |
20,660 | 16 | Title: Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding
Abstract: Self-supervised representation learning (SSRL) has gained increasing attention in point cloud understanding, in addressing the challenges posed by 3D data scarcity and high annotation costs. This paper presents PCEx... | [
7776,
23545,
38912,
22165
] | Train |
20,661 | 24 | Title: Random Inverse Problems Over Graphs: Decentralized Online Learning
Abstract: We establish a framework of random inverse problems with real-time observations over graphs, and present a decentralized online learning algorithm based on online data streams, which unifies the distributed parameter estimation in Hilbe... | [] | Test |
20,662 | 24 | Title: Why Target Networks Stabilise Temporal Difference Methods
Abstract: Integral to recent successes in deep reinforcement learning has been a class of temporal difference methods that use infrequently updated target values for policy evaluation in a Markov Decision Process. Yet a complete theoretical explanation fo... | [
10904
] | Test |
20,663 | 4 | Title: Revealing the True Cost of Local Privacy: An Auditing Perspective
Abstract: This paper introduces the LDP-Auditor framework for empirically estimating the privacy loss of Locally Differentially Private (LDP) mechanisms. Several factors influencing the privacy audit are explored, such as the impact of different e... | [
8578,
24035,
12296,
22674,
39614
] | Train |
20,664 | 38 | Title: What do we know about the disruption indicator in scientometrics? An overview of the literature
Abstract: The purpose of this paper is to provide a review of the literature on the original disruption indicator (DI1) and its variants in scientometrics. The DI1 has received much media attention and prompted a publ... | [
22062,
172,
19214
] | Validation |
20,665 | 31 | Title: Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Abstract: A well-designed recommender system can accurately capture the attributes of users and items, reflecting the unique preferences of individuals. Traditional recommendation techniques usually focus on modeling the singular type of behavio... | [
19104,
12387,
1357,
17039,
40533,
5559
] | Validation |
20,666 | 16 | Title: VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
Abstract: Recently, diffusion models like StableDiffusion have achieved impressive image generation results. However, the generation process of such diffusion models is uncontrollable, which makes it ha... | [
42272,
23563,
17526,
34074,
5373
] | Test |
20,667 | 16 | Title: Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning
Abstract: Self-supervised learning enables networks to learn discriminative features from massive data itself. Most state-of-the-art methods maximize the similarity between two augmentations of one image based on contra... | [] | Train |
20,668 | 16 | Title: Towards Zero-Shot Scale-Aware Monocular Depth Estimation
Abstract: Monocular depth estimation is scale-ambiguous, and thus requires scale supervision to produce metric predictions. Even so, the resulting models will be geometry-specific, with learned scales that cannot be directly transferred across domains. Bec... | [
33936,
3938
] | Train |
20,669 | 30 | Title: Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy
Abstract: AI-driven chatbots have become an emerging solution to address psychological distress. Due to the lack of psychotherapeutic data, researchers use dialogues scraped from online peer support forums to train them. But sin... | [] | Test |
20,670 | 24 | Title: TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
Abstract: Machine Learning (ML) models struggle with data that changes over time or across domains due to factors such as noise, occlusion, illumination, or frequency, unlike humans who can le... | [] | Validation |
20,671 | 24 | Title: LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative disease and the leading cause of dementia. Early diagnosis is critical for patients to benefit from potential intervention and treatment. The reti... | [] | Train |
20,672 | 5 | Title: Web3Recommend: Decentralised recommendations with trust and relevance
Abstract: Web3Recommend is a decentralized Social Recommender System implementation that enables Web3 Platforms on Android to generate recommendations that balance trust and relevance. Generating recommendations in decentralized networks is a ... | [] | Train |
20,673 | 11 | Title: AI Tool for Exploring How Economic Activities Impact Local Ecosystems
Abstract: We present an AI-based ecosystem simulator that uses three-dimensional models of the terrain and animal models controlled by deep reinforcement learning. The simulations take place in a game engine environment, which enables continuo... | [] | Validation |
20,674 | 31 | Title: Explaining the Performance of Collaborative Filtering Methods With Optimal Data Characteristics
Abstract: The performance of a Collaborative Filtering (CF) method is based on the properties of a User-Item Rating Matrix (URM). And the properties or Rating Data Characteristics (RDC) of a URM are constantly changin... | [] | Train |
20,675 | 28 | Title: Analysis of syndrome-based iterative decoder failure of QLDPC codes
Abstract: Iterative decoder failures of quantum low density parity check (QLDPC) codes are attributed to substructures in the code's graph, known as trapping sets, as well as degenerate errors that can arise in quantum codes. Failure inducing se... | [] | Validation |
20,676 | 24 | Title: Causal Disentanglement Hidden Markov Model for Fault Diagnosis
Abstract: In modern industries, fault diagnosis has been widely applied with the goal of realizing predictive maintenance. The key issue for the fault diagnosis system is to extract representative characteristics of the fault signal and then accurate... | [] | Train |
20,677 | 16 | Title: Scene‐Aware 3D Multi‐Human Motion Capture from a Single Camera
Abstract: In this work, we consider the problem of estimating the 3D position of multiple humans in a scene as well as their body shape and articulation from a single RGB video recorded with a static camera. In contrast to expensive marker‐based or m... | [
17241,
28659,
17622
] | Validation |
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