node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
29,978 | 16 | Title: DiFaReli: Diffusion Face Relighting
Abstract: We present a novel approach to single-view face relighting in the wild. Handling non-diffuse effects, such as global illumination or cast shadows, has long been a challenge in face relighting. Prior work often assumes Lambertian surfaces, simplified lighting models o... | [
34074,
7076
] | Train |
29,979 | 30 | Title: Semantic Operator Prediction and Applications
Abstract: In the present paper, semantic parsing challenges are briefly introduced and QDMR formalism in semantic parsing is implemented using sequence to sequence model with attention but uses only part of speech(POS) as a representation of words of a sentence to ma... | [
44969
] | Test |
29,980 | 24 | Title: On the Computational Cost of Stochastic Security
Abstract: We investigate whether long-run persistent chain Monte Carlo simulation of Langevin dynamics improves the quality of the representations achieved by energy-based models (EBM). We consider a scheme wherein Monte Carlo simulation of a diffusion process usi... | [
453
] | Train |
29,981 | 16 | Title: Improved baselines for vision-language pre-training
Abstract: Contrastive learning has emerged as an efficient framework to learn multimodal representations. CLIP, a seminal work in this area, achieved impressive results by training on paired image-text data using the contrastive loss. Recent work claims improve... | [
28504,
41273,
35,
16771
] | Train |
29,982 | 10 | Title: Algebraic Models for Qualified Aggregation in General Rough Sets, and Reasoning Bias Discovery
Abstract: In the context of general rough sets, the act of combining two things to form another is not straightforward. The situation is similar for other theories that concern uncertainty and vagueness. Such acts can ... | [] | Validation |
29,983 | 16 | Title: Domain Adaptation based Enhanced Detection for Autonomous Driving in Foggy and Rainy Weather
Abstract: Typically, object detection methods for autonomous driving that rely on supervised learning make the assumption of a consistent feature distribution between the training and testing data, however such assumptio... | [
43001
] | Train |
29,984 | 16 | Title: SpectFormer: Frequency and Attention is what you need in a Vision Transformer
Abstract: Vision transformers have been applied successfully for image recognition tasks. There have been either multi-headed self-attention based (ViT \cite{dosovitskiy2020image}, DeIT, \cite{touvron2021training}) similar to the origi... | [
17080
] | Train |
29,985 | 24 | Title: Mixed-Type Wafer Classification For Low Memory Devices Using Knowledge Distillation
Abstract: Manufacturing wafers is an intricate task involving thousands of steps. Defect Pattern Recognition (DPR) of wafer maps is crucial for determining the root cause of production defects, which may further provide insight f... | [
42931
] | Test |
29,986 | 16 | Title: VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
Abstract: AI alignment refers to models acting towards human-intended goals, preferences, or ethical principles. Given that most large-scale deep learning models act as black boxes and cannot be manually controlled... | [] | Train |
29,987 | 24 | Title: Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation
Abstract: Given two probability densities on related data spaces, we seek a map pushing one density to the other while satisfying application-dependent constraints. For maps to have utility in a broad application space (including domain... | [] | Test |
29,988 | 27 | Title: Direct and inverse modeling of soft robots by learning a condensed FEM model
Abstract: The Finite Element Method (FEM) is a powerful modeling tool for predicting the behavior of soft robots. However, its use for control can be difficult for non-specialists of numerical computation: it requires an optimization of... | [] | Train |
29,989 | 24 | Title: Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Abstract: In this work, besides improving prediction accuracy, we study whether personalization could bring robustness benefits to backdoor attacks. We conduct the first study of backdoor attacks in the pFL framework, testing 4 widel... | [
35224,
16981,
12686
] | Train |
29,990 | 16 | Title: ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
Abstract: Radars, due to their robustness to adverse weather conditions and ability to measure object motions, have served in autonomous driving and intelligent agents for years. However, Radar-based perception suffers from its uni... | [] | Train |
29,991 | 23 | Title: Causal fault localisation in dataflow systems
Abstract: Dataflow computing was shown to bring significant benefits to multiple niches of systems engineering and has the potential to become a general-purpose paradigm of choice for data-driven application development. One of the characteristic features of dataflow... | [
17367
] | Train |
29,992 | 16 | Title: DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking
Abstract: —Object detection and pose estimation are difficult tasks in robotics and autonomous driving. Existing object detection and pose estimation methods mostly adopt the same- dimensional da... | [] | Train |
29,993 | 24 | Title: Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach
Abstract: Learning from noisy labels (LNL) plays a crucial role in deep learning. The most promising LNL methods rely on identifying clean-label samples from a dataset with noisy annotations. Such an identification is challenging... | [] | Train |
29,994 | 8 | Title: AMPLE: An Adaptive Multiple Path Loss Exponent Radio Propagation Model Considering Environmental Factors
Abstract: We present AMPLE -- a novel multiple path loss exponent (PLE) radio propagation model that can adapt to different environmental factors. The proposed model aims at accurately predicting path loss wi... | [] | Test |
29,995 | 5 | Title: Efficient Hardware Primitives for Immediate Memory Reclamation in Optimistic Data Structures
Abstract: Safe memory reclamation (SMR) algorithms are crucial for preventing use-after-free errors in optimistic data structures. SMR algorithms typically delay reclamation for safety and reclaim objects in batches for ... | [] | Train |
29,996 | 10 | Title: The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default
Abstract: In recent years fairness in machine learning (ML) has emerged as a highly active area of research and development. Most define fairness in simple terms, where fairness means reducing gaps in performance or outc... | [
31138,
39987,
39063,
4407,
26910
] | Train |
29,997 | 39 | Title: The Domino problem is undecidable on every rhombus subshift
Abstract: nan | [] | Validation |
29,998 | 24 | Title: End-to-End Neural Network Training for Hyperbox-Based Classification
Abstract: Hyperbox-based classification has been seen as a promising technique in which decisions on the data are represented as a series of orthogonal, multidimensional boxes (i.e., hyperboxes) that are often interpretable and human-readable. ... | [] | Train |
29,999 | 16 | Title: Visual Instruction Tuning with Polite Flamingo
Abstract: Recent research has demonstrated that the multi-task fine-tuning of multi-modal Large Language Models (LLMs) using an assortment of annotated downstream vision-language datasets significantly enhances their performance. Yet, during this process, a side eff... | [
40192,
26498,
13700,
42756,
40330,
26380,
41104,
8210,
27282,
33049,
32796,
22432,
13345,
30243,
15413,
9014,
5815,
9403,
44988,
1854,
2384,
36179,
5720,
10978,
37987,
42983,
19433,
19578
] | Validation |
30,000 | 16 | Title: Efficient Feature Description for Small Body Relative Navigation using Binary Convolutional Neural Networks
Abstract: Missions to small celestial bodies rely heavily on optical feature tracking for characterization of and relative navigation around the target body. While techniques for feature tracking based on ... | [] | Test |
30,001 | 30 | Title: Additive manifesto decomposition: A policy domain aware method for understanding party positioning
Abstract: Automatic extraction of party (dis)similarities from texts such as party election manifestos or parliamentary speeches plays an increasing role in computational political science. However, existing approa... | [] | Validation |
30,002 | 2 | Title: Universal quantification makes automatic structures hard to decide
Abstract: Automatic structures are structures whose universe and relations can be represented as regular languages. It follows from the standard closure properties of regular languages that the first-order theory of an automatic structure is deci... | [] | Validation |
30,003 | 24 | Title: Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach
Abstract: Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of the access requ... | [] | Train |
30,004 | 16 | Title: Machine Vision Using Cellphone Camera: A comparison of deep networks for classifying three challenging denominations of Indian coins
Abstract: Indian currency coins come in a variety of denominations. Off all the varieties $\unicode{x20B9}1,\unicode{x20B9}2$, and $\unicode{x20B9}5$ have similar diameters. Majori... | [] | Train |
30,005 | 24 | Title: On the Universality of Linear Recurrences Followed by Nonlinear Projections
Abstract: In this note (work in progress towards a full-length paper) we show that a family of sequence models based on recurrent linear layers~(including S4, S5, and the LRU) interleaved with position-wise multi-layer perceptrons~(MLPs)... | [
43201,
5510
] | Train |
30,006 | 27 | Title: Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks
Abstract: Connected automated driving has the potential to significantly improve urban traffic efficiency, e.g., by alleviating issues due to occlusion. Cooperative behavior planning can be employed to joint... | [] | Validation |
30,007 | 9 | Title: Hardness of monadic second-order formulae over succinct graphs
Abstract: Our main result is a succinct counterpoint to Courcelle's meta-theorem as follows: every arborescent monadic second-order (MSO) property is either NP-hard or coNP-hard over graphs given by succinct representations. Succint representations a... | [] | Train |
30,008 | 28 | Title: Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios
Abstract: Leveraging sensory information to aid the millimeter-wave (mmWave) and sub-terahertz (sub-THz) beam selection process is attracting increasing interest. This sensory data, captured for example by cameras at the basestatio... | [
25377
] | Train |
30,009 | 24 | Title: RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows
Abstract: Physics-informed neural networks (PINNs) provide a framework to build surrogate models for dynamical systems governed by differential equations. During the learning process, PINNs incorporate a physics-based regularization term within... | [
4680
] | Train |
30,010 | 28 | Title: Intelligent Reflecting Vehicle Surface: A Novel IRS Paradigm for Moving Vehicular Networks
Abstract: Intelligent reflecting surface (IRS) has recently received much attention from the research community due to its potential to achieve high spectral and power efficiency cost-effectively. In addition to traditiona... | [
18916,
32620,
1684,
42612,
19167
] | Train |
30,011 | 34 | Title: Fast Consistent Hashing in Constant Time
Abstract: Consistent hashing is a technique that can minimize key remapping when the number of hash buckets changes. The paper proposes a fast consistent hash algorithm (called power consistent hash) that has $O(1)$ expected time for key lookup, independent of the number ... | [] | Test |
30,012 | 30 | Title: IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning
Abstract: In the field of machine reading comprehension (MRC), existing systems have surpassed the average performance of human beings in many tasks like SQuAD. However, there is still a long way to go when it comes to logical reasoning. Although ... | [] | Train |
30,013 | 16 | Title: Weakly-supervised Micro- and Macro-expression Spotting Based on Multi-level Consistency
Abstract: Most micro- and macro-expression spotting methods in untrimmed videos suffer from the burden of video-wise collection and frame-wise annotation. Weakly-supervised expression spotting (WES) based on video-level label... | [] | Test |
30,014 | 18 | Title: Training and Deploying Spiking NN Applications to the Mixed-Signal Neuromorphic Chip Dynap-SE2 with Rockpool
Abstract: Mixed-signal neuromorphic processors provide extremely low-power operation for edge inference workloads, taking advantage of sparse asynchronous computation within Spiking Neural Networks (SNNs)... | [] | Train |
30,015 | 16 | Title: Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation
Abstract: Recently, the fundamental problem of unsupervised domain adaptation (UDA) on 3D point clouds has been motivated by a wide variety of applications in robotics, virtual reality, and scene understanding, to name a ... | [] | Train |
30,016 | 16 | Title: An Efficient Deep Convolutional Neural Network Model For Yoga Pose Recognition Using Single Images
Abstract: Pose recognition deals with designing algorithms to locate human body joints in a 2D/3D space and run inference on the estimated joint locations for predicting the poses. Yoga poses consist of some very c... | [] | Validation |
30,017 | 10 | Title: Unreliable Partial Label Learning with Recursive Separation
Abstract: Partial label learning (PLL) is a typical weakly supervised learning problem in which each instance is associated with a candidate label set, and among which only one is true. However, the assumption that the ground-truth label is always among... | [] | Validation |
30,018 | 30 | Title: Benchmarking Large Language Model Capabilities for Conditional Generation
Abstract: Pre-trained large language models (PLMs) underly most new developments in natural language processing. They have shifted the field from application-specific model pipelines to a single model that is adapted to a wide range of tas... | [
33363
] | Train |
30,019 | 16 | Title: PUMGPT: A Large Vision-Language Model for Product Understanding
Abstract: Recent developments of multi-modal large language models have demonstrated its strong ability in solving vision-language tasks. In this paper, we focus on the product understanding task, which plays an essential role in enhancing online sh... | [
10624,
14592,
37987,
13700,
25892,
30243,
26380,
41104,
3609,
13564,
1854
] | Train |
30,020 | 13 | Title: Structured mutation inspired by evolutionary theory enriches population performance and diversity
Abstract: Grammar-Guided Genetic Programming (GGGP) employs a variety of insights from evolutionary theory to autonomously design solutions for a given task. Recent insights from evolutionary biology can lead to fur... | [
8239
] | Validation |
30,021 | 10 | Title: eXplainable Artificial Intelligence (XAI) in aging clock models
Abstract: eXplainable Artificial Intelligence (XAI) is a rapidly progressing field of machine learning, aiming to unravel the predictions of complex models. XAI is especially required in sensitive applications, e.g. in health care, when diagnosis, r... | [] | Test |
30,022 | 24 | Title: An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning
Abstract: Motivated by the developing mathematics of deep learning, we build universal functions approximators of continuous maps between arbitrary Polish metric spaces $\mathcal{X}$ and $\mathcal{Y}$ using elementary fun... | [] | Test |
30,023 | 34 | Title: Parameterized Complexity of Vertex Splitting to Pathwidth at most 1
Abstract: Motivated by the planarization of 2-layered straight-line drawings, we consider the problem of modifying a graph such that the resulting graph has pathwidth at most 1. The problem Pathwidth-One Vertex Explosion (POVE) asks whether such... | [
27736,
35315
] | Train |
30,024 | 16 | Title: NOPE: Novel Object Pose Estimation from a Single Image
Abstract: The practicality of 3D object pose estimation remains limited for many applications due to the need for prior knowledge of a 3D model and a training period for new objects. To address this limitation, we propose an approach that takes a single imag... | [
39232,
30566
] | Train |
30,025 | 30 | Title: Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task
Abstract: Large-scale language models (LLMs) has shown remarkable capability in various of Natural Language Processing (NLP) tasks and attracted lots of attention recently. However, some studies indicated that l... | [
21921,
13700,
44361,
5643,
12087
] | Validation |
30,026 | 24 | Title: ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Abstract: During the last two years there has been a plethora of large generative models such as ChatGPT or Stable Diffusion that have been published. Concretely, these models are able to perform tasks such as being a general qu... | [
37762,
22532,
39946,
8715,
35596,
38543,
42268,
44323,
13224,
1836,
39340,
4270,
27185,
29109,
11190,
42165,
13371,
23484,
45760,
26825,
37195,
30925,
18004,
37211,
32352,
1899,
5227,
45680,
28532,
6648,
21375
] | Train |
30,027 | 30 | Title: Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy
Abstract: How does one measure"ability to understand language"? If it is a person's ability that is being measured, this is a question that almost never poses itself in an unqualified manner: Whatever formal test is applied, i... | [
3219,
21990
] | Train |
30,028 | 26 | Title: Towards Lightweight and Automated Representation Learning System for Networks
Abstract: We propose LightNE 2.0, a cost-effective, scalable, automated, and high-quality network embedding system that scales to graphs with hundreds of billions of edges on a single machine. In contrast to the mainstream belief that ... | [] | Validation |
30,029 | 30 | Title: We're Afraid Language Models Aren't Modeling Ambiguity
Abstract: Ambiguity is an intrinsic feature of natural language. Managing ambiguity is a key part of human language understanding, allowing us to anticipate misunderstanding as communicators and revise our interpretations as listeners. As language models (LM... | [
6535,
30891,
5196,
43019,
29711,
28155,
27902
] | Train |
30,030 | 16 | Title: Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Abstract: Recent remarkable improvements in large-scale text-to-image generative models have shown promising results in generating high-fidelity images. To further enhance editability and enable fine-grained generation, we introduc... | [
10212,
34074,
11820,
15983,
41146
] | Train |
30,031 | 20 | Title: Polar Zonohedra Edge-Unfold to Nets
Abstract: This note proves that every polar zonohedron has an edge-unfolding to a non-overlapping net. | [] | Test |
30,032 | 24 | Title: SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
Abstract: Deep reinforcement learning algorithms (DRL) are increasingly being used in safety-critical systems. Ensuring the safety of DRL agents is a critical concern in such contexts. However, relying solely on testing is not sufficient... | [] | Train |
30,033 | 24 | Title: Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
Abstract: Multi-agent reinforcement learning typically suffers from the problem of sample inefficiency, where learning suitable policies involves the use of many data samples. Learning from external demonstrators is a possible solu... | [] | Train |
30,034 | 24 | Title: Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation
Abstract: Biases in models pose a critical issue when deploying machine learning systems, but diagnosing them in an explainable manner can be challenging. To address this, we introduce the bias-to-text (B2T) framework, which uses langu... | [
10624,
30402,
33220,
3015,
8234,
13034,
5932,
16284,
29087
] | Test |
30,035 | 25 | Title: The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals
Abstract: Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has greatly attracte... | [] | Train |
30,036 | 37 | Title: Minimizing the Influence of Misinformation via Vertex Blocking
Abstract: Information cascade in online social networks can be rather negative, e.g., the spread of rumors may trigger panic. To limit the influence of misinformation in an effective and efficient manner, the influence minimization (IMIN) problem is ... | [] | Test |
30,037 | 16 | Title: Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
Abstract: Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment planning, and disease monitoring. Accurate segmentation of anatomical structures and abnormalities from medical imag... | [
440,
26147
] | Train |
30,038 | 24 | Title: GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training
Abstract: Distributed data-parallel (DDP) training improves overall application throughput as multiple devices train on a subset of data and aggregate updates to produce a globally shared model. The periodic synchronization at each ... | [
554,
29782
] | Validation |
30,039 | 27 | Title: Follow Anything: Open-set detection, tracking, and following in real-time
Abstract: Tracking and following objects of interest is critical to several robotics use cases, ranging from industrial automation to logistics and warehousing, to healthcare and security. In this paper, we present a robotic system to dete... | [
31346,
22222
] | Train |
30,040 | 24 | Title: Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations
Abstract: People break up, miscarry, and lose loved ones. Their online streaming and shopping recommendations, however, do not necessarily update, and may serve as unhappy reminders of their loss. When users want to renege ... | [
18833
] | Test |
30,041 | 24 | Title: Submodular Minimax Optimization: Finding Effective Sets
Abstract: Despite the rich existing literature about minimax optimization in continuous settings, only very partial results of this kind have been obtained for combinatorial settings. In this paper, we fill this gap by providing a characterization of submod... | [
29087
] | Train |
30,042 | 2 | Title: Graphical Proof Theory I: Multiplicative Linear Logic Beyond Cographs
Abstract: Cographs are a class of (undirected) graphs, characterized by the absence of induced subgraphs isomorphic to the four-vertices path, showing an intuitive one-to-one correspondence with classical propositional formulas. In this paper ... | [] | Train |
30,043 | 8 | Title: JCAS-Enabled Sensing as a Service in 6th-Generation Mobile Communication Networks
Abstract: The introduction of new types of frequency spectrum in 6G technology facilitates the convergence of conventional mobile communications and radar functions. Thus, the mobile network itself becomes a versatile sensor system... | [] | Test |
30,044 | 8 | Title: LLMCad: Fast and Scalable On-device Large Language Model Inference
Abstract: Generative tasks, such as text generation and question answering, hold a crucial position in the realm of mobile applications. Due to their sensitivity to privacy concerns, there is a growing demand for their execution directly on mobil... | [
31256,
33809,
13700,
40413
] | Test |
30,045 | 16 | Title: Linear Object Detection in Document Images using Multiple Object Tracking
Abstract: Linear objects convey substantial information about document structure, but are challenging to detect accurately because of degradation (curved, erased) or decoration (doubled, dashed). Many approaches can recover some vector rep... | [] | Train |
30,046 | 4 | Title: SMPC-Based Federated Learning for 6G-Enabled Internet of Medical Things
Abstract: Rapidly developing intelligent healthcare systems are underpinned by sixth generation (6G) connectivity, the ubiquitous Internet of Things, and deep learning (DL) techniques. This portends a future where 6G powers the Internet of M... | [] | Validation |
30,047 | 24 | Title: The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation
Abstract: We make a connection between multicalibration and property elicitation and show that (under mild technical conditions) it is possible to produce a multicalibrated predictor for a continuous scalar distributional pro... | [
22000,
37106,
39407
] | Train |
30,048 | 4 | Title: Differential Aggregation against General Colluding Attackers
Abstract: Local Differential Privacy (LDP) is now widely adopted in large-scale systems to collect and analyze sensitive data while preserving users’ privacy. However, almost all LDP protocols rely on a semi-trust model where users are curious-but-hone... | [] | Train |
30,049 | 27 | Title: AlphaBlock: Embodied Finetuning for Vision-Language Reasoning in Robot Manipulation
Abstract: We propose a novel framework for learning high-level cognitive capabilities in robot manipulation tasks, such as making a smiley face using building blocks. These tasks often involve complex multi-step reasoning, presen... | [
10624,
26562,
13700,
295,
22094,
37070,
38894,
3219,
8214,
22518,
13564,
7198
] | Test |
30,050 | 10 | Title: Source-Aware Embedding Training on Heterogeneous Information Networks
Abstract: ABSTRACT Heterogeneous information networks (HINs) have been extensively applied to real-world tasks, such as recommendation systems, social networks, and citation networks. While existing HIN representation learning methods can effe... | [] | Train |
30,051 | 16 | Title: You are here! Finding position and orientation on a 2D map from a single image: The Flatlandia localization problem and dataset
Abstract: We introduce Flatlandia, a novel problem for visual localization of an image from object detections composed of two specific tasks: i) Coarse Map Localization: localizing a si... | [] | Validation |
30,052 | 34 | Title: KD-Club: An Efficient Exact Algorithm with New Coloring-based Upper Bound for the Maximum k-Defective Clique Problem
Abstract: The Maximum k-Defective Clique Problem (MDCP) aims to find a maximum k-defective clique in a given graph, where a k-defective clique is a relaxation clique missing at most k edges. MDCP ... | [
39474
] | Train |
30,053 | 5 | Title: FleXR: A System Enabling Flexibly Distributed Extended Reality
Abstract: Extended reality (XR) applications require computationally demanding functionalities with low end-to-end latency and high throughput. To enable XR on commodity devices, a number of distributed systems solutions enable offloading of XR workl... | [
13814
] | Train |
30,054 | 30 | Title: Question answering with deep neural networks for semi-structured heterogeneous genealogical knowledge graphs
Abstract: With the rising popularity of user-generated genealogical family trees, new genealogical information systems have been developed. State-of-the-art natural question answering algorithms use deep ... | [
39816,
154
] | Validation |
30,055 | 24 | Title: Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
Abstract: We present the Minigrid and Miniworld libraries which provide a suite of goal-oriented 2D and 3D environments. The libraries were explicitly created with a minimalistic design paradigm to allow user... | [
34105,
5421
] | Train |
30,056 | 28 | Title: On the State Estimation Error of "Beam-Pointing" Channels: The Binary Case
Abstract: Sensing capabilities as an integral part of the network have been identified as a novel feature of sixth-generation (6G) wireless networks. As a key driver, millimeter-wave (mmWave) communication largely boosts speed, capacities... | [] | Train |
30,057 | 21 | Title: Manuscript of a method for improving wear in intermittently computing file systems
Abstract: For the first time, the repeated wear phenomenon of high-frequency power failure on the data block area in intermittent computing file system is found. A method to improve NVM wear in ICFS under high-frequency power fail... | [] | Validation |
30,058 | 24 | Title: Discovering Dynamic Causal Space for DAG Structure Learning
Abstract: Discovering causal structure from purely observational data (i.e., causal discovery), aiming to identify causal relationships among variables, is a fundamental task in machine learning.The recent invention of differentiable score-based DAG lea... | [] | Train |
30,059 | 24 | Title: Selection of contributing factors for predicting landslide susceptibility using machine learning and deep learning models
Abstract: nan | [] | Validation |
30,060 | 4 | Title: Graph-Theoretic Approach for Manufacturing Cybersecurity Risk Modeling and Assessment
Abstract: Identifying, analyzing, and evaluating cybersecurity risks are essential to assess the vulnerabilities of modern manufacturing infrastructures and to devise effective decision-making strategies to secure critical manu... | [
10653
] | Train |
30,061 | 24 | Title: Is My Prediction Arbitrary? The Confounding Effects of Variance in Fair Classification Benchmarks
Abstract: Variance in predictions across different trained models is a significant, under-explored source of error in fair classification. In practice, the variance on some data examples is so large that decisions c... | [
9738,
20754,
27839
] | Test |
30,062 | 6 | Title: Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study
Abstract: Assessing the progression of muscle fatigue for daily exercises provides vital indicators for precise rehabilitation, personalized training dose, especially under the context of Metaverse. Assessing fatigue of mul... | [] | Validation |
30,063 | 30 | Title: Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
Abstract: Large language models (LLMs) have been recently leveraged as training data generators for various natural language processing (NLP) tasks. While previous research has explored different approaches to training model... | [
13345,
33220,
29509,
29419,
17517,
1581,
9518,
40504,
24217,
35580
] | Test |
30,064 | 24 | Title: Eigenvalue-based Incremental Spectral Clustering
Abstract: Our previous experiments demonstrated that subsets collections of (short) documents (with several hundred entries) share a common normalized in some way eigenvalue spectrum of combinatorial Laplacian. Based on this insight, we propose a method of increme... | [] | Train |
30,065 | 27 | Title: Event-based Agile Object Catching with a Quadrupedal Robot
Abstract: Quadrupedal robots are conquering various applications in indoor and outdoor environments due to their capability to navigate challenging uneven terrains. Exteroceptive information greatly enhances this capability since perceiving their surroun... | [
4000,
710
] | Validation |
30,066 | 16 | Title: K-complex Detection Using Fourier Spectrum Analysis In EEG
Abstract: K-complexes are an important marker of brain activity and are used both in clinical practice to perform sleep scoring, and in research. However, due to the size of electroencephalography (EEG) records, as well as the subjective nature of K-comp... | [] | Test |
30,067 | 30 | Title: DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model
Abstract: Multilingual self-supervised speech representation models have greatly enhanced the speech recognition performance for low-resource languages, and the compression of these huge models has also become a crucial prerequisite for their i... | [
476
] | Train |
30,068 | 24 | Title: Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing
Abstract: Controlling nonlinear dynamical systems using machine learning allows to not only drive systems into simple behavior like periodicity but also to more complex arbitrary dynam... | [] | Test |
30,069 | 27 | Title: Swarm of One: Bottom-up Emergence of Stable Robot Bodies from Identical Cells
Abstract: Unlike most human-engineered systems, biological systems are emergent from low-level interactions, allowing much broader diversity and superior adaptation to the complex environments. Inspired by the process of morphogenesis ... | [] | Train |
30,070 | 4 | Title: Zip to Zip-it: Compression to Achieve Local Differential Privacy
Abstract: Local differential privacy techniques for numerical data typically transform a dataset to ensure a bound on the likelihood that, given a query, a malicious user could infer information on the original samples. Queries are often solely bas... | [
1913
] | Train |
30,071 | 10 | Title: TransWorldNG: Traffic Simulation via Foundation Model
Abstract: Traffic simulation is a crucial tool for transportation decision-making and policy development. However, achieving realistic simulations in the face of the high dimensionality and heterogeneity of traffic environments is a longstanding challenge. In... | [
19996,
36390
] | Train |
30,072 | 24 | Title: Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection
Abstract: Data-efficient learning has drawn significant attention, especially given the current trend of large multi-modal models, where dataset distillation can be an effective solution. However, the dataset distillati... | [
29325,
17406
] | Test |
30,073 | 39 | Title: On the α-spectral radius of hypergraphs
Abstract: For real $\alpha\in [0,1)$ and a hypergraph $G$, the $\alpha$-spectral radius of $G$ is the largest eigenvalue of the matrix $A_{\alpha}(G)=\alpha D(G)+(1-\alpha)A(G)$, where $A(G)$ is the adjacency matrix of $G$, which is a symmetric matrix with zero diagonal su... | [] | Test |
30,074 | 24 | Title: A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning
Abstract: Offline constrained reinforcement learning (RL) aims to learn a policy that maximizes the expected cumulative reward subject to constraints on expected value of cost functions using an existing dataset. In this paper, we prop... | [
28949
] | Train |
30,075 | 16 | Title: FSD: Fully-Specialized Detector via Neural Architecture Search
Abstract: Most generic object detectors are mainly built for “standard” object detection tasks such as COCO [1] and PAS-CAL VOC [2]. They might not work well and/or efficiently on tasks of other domains consisting of images that are visually differen... | [] | Train |
30,076 | 36 | Title: Designing Fair, Cost-optimal Auctions based on Deep Learning for Procuring Agricultural Inputs through Farmer Collectives
Abstract: Procuring agricultural inputs (agri-inputs for short) such as seeds, fertilizers, and pesticides, at desired quality levels and at affordable cost, forms a critical component of agr... | [] | Train |
30,077 | 24 | Title: Targeted Data Augmentation for bias mitigation
Abstract: The development of fair and ethical AI systems requires careful consideration of bias mitigation, an area often overlooked or ignored. In this study, we introduce a novel and efficient approach for addressing biases called Targeted Data Augmentation (TDA),... | [] | Test |
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