node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
15,778 | 27 | Title: Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View
Abstract: With the advent of Neural Radiance Field (NeRF), representing 3D scenes through multiple observations has shown remarkable improvements in performance. Since this cutting-edge technique is abl... | [
40220
] | Train |
15,779 | 27 | Title: FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
Abstract: Humans manipulate various kinds of fluids in their everyday life: creating latte art, scooping floating objects from water, rolling an ice cream cone, etc. Using robots to augment or replace human labors in these daily s... | [
11360,
10831,
436,
16823,
33209,
28827
] | Train |
15,780 | 24 | Title: The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction
Abstract: In this paper we revisit the bias-variance decomposition of model error from the perspective of designing a fair classifier: we are motivated by the widely held socio-technical belief that ... | [
11800
] | Test |
15,781 | 24 | Title: Replicable Clustering
Abstract: We design replicable algorithms in the context of statistical clustering under the recently introduced notion of replicability from Impagliazzo et al. [2022]. According to this definition, a clustering algorithm is replicable if, with high probability, its output induces the exact... | [
16853,
22099,
7581,
10878
] | Validation |
15,782 | 3 | Title: Data coverage, richness, and quality of OpenStreetMap for special interest tags: wayside crosses - a case study
Abstract: Volunteered Geographic Information projects like OpenStreetMap which allow accessing and using the raw data, are a treasure trove for investigations - e.g. cultural topics, urban planning, or... | [] | Test |
15,783 | 24 | Title: A Survey on Time-Series Pre-Trained Models
Abstract: Time-Series Mining (TSM) is an important research area since it shows great potential in practical applications. Deep learning models that rely on massive labeled data have been utilized for TSM successfully. However, constructing a large-scale well-labeled da... | [
38569
] | Train |
15,784 | 24 | Title: Hospitalization Length of Stay Prediction using Patient Event Sequences
Abstract: Predicting patients hospital length of stay (LOS) is essential for improving resource allocation and supporting decision-making in healthcare organizations. This paper proposes a novel approach for predicting LOS by modeling patien... | [] | Validation |
15,785 | 16 | Title: ShaDDR: Real-Time Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering
Abstract: We present ShaDDR, an example-based deep generative neural network which produces a high-resolution textured 3D shape through geometry detailization and conditional texture generation... | [
26625,
30566,
34167
] | Test |
15,786 | 4 | Title: The Pseudonymous Certificates for Healthcare Systems
Abstract: This study mainly modifies the butterfly key expansion (BKE) mechanism and applies it to the healthcare system. The system mainly includes a Root Certificate Authority (RCA), an Enrollment Certificate Authority (ECA), a Pseudonym Certificate Authorit... | [] | Validation |
15,787 | 10 | Title: Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
Abstract: Synthetic data generation has been widely adopted in software testing, data privacy, imbalanced learning, artificial intelligence explanation, etc. In all such contexts, it is important to generate plausible data samples. A co... | [
41611
] | Validation |
15,788 | 24 | Title: A Rainbow in Deep Network Black Boxes
Abstract: We introduce rainbow networks as a probabilistic model of trained deep neural networks. The model cascades random feature maps whose weight distributions are learned. It assumes that dependencies between weights at different layers are reduced to rotations which al... | [
29708
] | Train |
15,789 | 25 | Title: Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition
Abstract: By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words. However, for real-world voice assistants, always biasing on such pers... | [
20478
] | Train |
15,790 | 5 | Title: Behavioural Types for Local-First Software
Abstract: Peer-to-peer systems are the most resilient form of distributed computing, but the design of robust protocols for their coordination is difficult. This makes it hard to specify and reason about global behaviour of such systems. This paper presents swarm protoc... | [
12458,
36412
] | Test |
15,791 | 23 | Title: RunBugRun - An Executable Dataset for Automated Program Repair
Abstract: Recently, we can notice a transition to data-driven techniques in Automated Program Repair (APR), in particular towards deep neural networks. This entails training on hundreds of thousands or even millions of non-executable code fragments. ... | [
34208,
634
] | Train |
15,792 | 16 | Title: High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
Abstract: Despite the impressive performance obtained by recent single-image hand modeling techniques, they lack the capability to capture sufficient details of the 3D hand mesh. This deficiency greatly limits their application... | [
38047
] | Test |
15,793 | 31 | Title: Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset
Abstract: The selection of features for text classification is a fundamental task in text mining and information retrieval. Despite being the sixth most widely spoken language in the world, Bangla has re... | [] | Train |
15,794 | 16 | Title: NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud
Abstract: Extracting parametric edge curves from point clouds is a fundamental problem in 3D vision and geometry processing. Existing approaches mainly rely on keypoint detection, a challenging procedure that tends to generate noisy ... | [
3139
] | Validation |
15,795 | 8 | Title: Transceiver Cooperative Learning-aided Semantic Communications Against Mismatched Background Knowledge Bases
Abstract: Semantic communications learned on background knowledge bases (KBs) have been identified as a promising technology for communications between intelligent agents. Existing works assume that trans... | [] | Test |
15,796 | 16 | Title: CIParsing: Unifying Causality Properties into Multiple Human Parsing
Abstract: Existing methods of multiple human parsing (MHP) apply statistical models to acquire underlying associations between images and labeled body parts. However, acquired associations often contain many spurious correlations that degrade m... | [] | Train |
15,797 | 31 | Title: NevIR: Negation in Neural Information Retrieval
Abstract: Negation is a common everyday phenomena and has been a consistent area of weakness for language models (LMs). Although the Information Retrieval (IR) community has adopted LMs as the backbone of modern IR architectures, there has been little to no researc... | [] | Validation |
15,798 | 5 | Title: Parallel approximation of the exponential of Hermitian matrices
Abstract: In this work, we consider a rational approximation of the exponential function to design an algorithm for computing matrix exponential in the Hermitian case. Using partial fraction decomposition, we obtain a parallelizable method, where th... | [] | Validation |
15,799 | 4 | Title: Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection
Abstract: Cyberattacks are increasingly threatening networked systems, often with the emergence of new types of unknown (zero-day) attacks and the rise of vulnerable devices. While Machine Learning (ML)-based Intrusion Detectio... | [] | Train |
15,800 | 10 | Title: Low Complexity Approaches for End-to-End Latency Prediction
Abstract: Software Defined Networks have opened the door to statistical and AI-based techniques to improve efficiency of networking. Especially to ensure a certain Quality of Service (QoS) for specific applications by routing packets with awareness on c... | [] | Test |
15,801 | 15 | Title: Mapping of CNNs on multi-core RRAM-based CIM architectures
Abstract: RRAM-based multi-core systems improve the energy efficiency and performance of CNNs. Thereby, the distributed parallel execution of convolutional layers causes critical data dependencies that limit the potential speedup. This paper presents syn... | [] | Test |
15,802 | 24 | Title: Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits
Abstract: The drastic growth of electric vehicles and photovoltaics can introduce new challenges, such as electrical current congestion and voltage limit violations due to peak load demands. These issues can be mitigat... | [] | Train |
15,803 | 27 | Title: Improving Wind Resistance Performance of Cascaded PID Controlled Quadcopters using Residual Reinforcement Learning
Abstract: Wind resistance control is an essential feature for quadcopters to maintain their position to avoid deviation from target position and prevent collisions with obstacles. Conventionally, ca... | [] | Test |
15,804 | 20 | Title: Algorithms for Length Spectra of Combinatorial Tori
Abstract: Consider a weighted, undirected graph cellularly embedded on a topological surface. The function assigning to each free homotopy class of closed curves the length of a shortest cycle within this homotopy class is called the marked length spectrum. The... | [] | Train |
15,805 | 16 | Title: BiofilmScanner: A Computational Intelligence Approach to Obtain Bacterial Cell Morphological Attributes from Biofilm Image
Abstract: Desulfovibrio alaskensis G20 (DA-G20) is utilized as a model for sulfate-reducing bacteria (SRB) that are associated with corrosion issues caused by microorganisms. SRB-based biofi... | [] | Train |
15,806 | 24 | Title: Learning Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Abstract: In modern communication systems, efficient and reliable information dissemination is crucial for supporting critical operations across domains like disaster response, autonomous vehicles, and sensor net... | [
12010,
1206
] | Train |
15,807 | 24 | Title: Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play
Abstract: Deep Reinforcement Learning combined with Fictitious Play shows impressive results on many benchmark games, most of which are, however, single-stage. In contrast, real-world decision mak... | [
23707,
21292,
13431
] | Test |
15,808 | 13 | Title: Investigating Normalization in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point
Abstract: Normalization of objectives plays a crucial role in evolutionary multi-objective optimization (EMO) to handle objective functions with different scales, which can be found in real-world pro... | [
39712,
6947,
2221
] | Train |
15,809 | 16 | Title: HIVE: Harnessing Human Feedback for Instructional Visual Editing
Abstract: Incorporating human feedback has been shown to be crucial to align text generated by large language models to human preferences. We hypothesize that state-of-the-art instructional image editing models, where outputs are generated based on... | [
18048,
36640,
42786,
5387,
32625,
10706,
36084,
27542,
44537,
41146
] | Train |
15,810 | 10 | Title: A Vision for Semantically Enriched Data Science
Abstract: The recent efforts in automation of machine learning or data science has achieved success in various tasks such as hyper-parameter optimization or model selection. However, key areas such as utilizing domain knowledge and data semantics are areas where we... | [] | Validation |
15,811 | 16 | Title: Word-As-Image for Semantic Typography
Abstract: A word-as-image is a semantic typography technique where a word illustration presents a visualization of the meaning of the word, while also preserving its readability. We present a method to create word-as-image illustrations automatically. This task is highly cha... | [
25739,
31404,
44561,
42484,
44052,
24763,
3326
] | Train |
15,812 | 30 | Title: MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Abstract: We introduce MAmmoTH, a series of open-source large language models (LLMs) specifically tailored for general math problem-solving. The MAmmoTH models are trained on MathInstruct, our meticulously curated instruction tuning datas... | [
14592,
13700,
10502,
6797,
7695,
19727,
13345,
25892,
30630,
9907,
45494,
5815,
6328,
9403,
29115,
1595,
37310,
43970,
33220,
43980,
33490,
12628,
29396,
28886,
32859,
109,
43641
] | Validation |
15,813 | 3 | Title: Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk
Abstract: This paper presents an overview of Waymo's approach to building a reliable case for safety - a novel and thorough blueprint for use by any company building fully autonomous driving systems. A saf... | [
27120
] | Train |
15,814 | 16 | Title: Causal reasoning in typical computer vision tasks
Abstract: Deep learning has revolutionized the field of artificial intelligence. Based on the statistical correlations uncovered by deep learning-based methods, computer vision has contributed to tremendous growth in areas like autonomous driving and robotics. De... | [
10624,
21091
] | Train |
15,815 | 24 | Title: The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning
Abstract: This paper introduces a set of formally defined and transparent problems for reinforcement learning algorithms with the following characteristics: (1) v... | [
15507,
3814
] | Validation |
15,816 | 24 | Title: Learning-Rate-Free Learning by D-Adaptation
Abstract: D-Adaptation is an approach to automatically setting the learning rate which asymptotically achieves the optimal rate of convergence for minimizing convex Lipschitz functions, with no back-tracking or line searches, and no additional function value or gradien... | [
39522,
14342,
24969,
6415,
41487,
29169,
40819,
26901,
17463,
35800,
16094
] | Validation |
15,817 | 4 | Title: Static Application Security Testing of Consensus-Critical Code in the Cosmos Network
Abstract: Blockchains require deterministic execution in order to reach consensus. This is often guaranteed in languages designed to write smart contracts, such as Solidity. Application-specific blockchains or ``appchains'' allo... | [] | Train |
15,818 | 30 | Title: TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety
Abstract: Large Language Models (LLMs) have shown remarkable effectiveness in various general-domain natural language processing (NLP) tasks. However, their performance in transportation safety domain... | [
13345,
1923,
13700,
15301,
41350,
33220,
12114,
31218,
29396,
27282,
43641,
20794
] | Validation |
15,819 | 14 | Title: Distance Evaluation to the Set of Defective Matrices
Abstract: We treat the problem of the Frobenius distance evaluation from a given matrix $ A \in \mathbb R^{n\times n} $ with distinct eigenvalues to the manifold of matrices with multiple eigenvalues. On restricting considerations to the rank $ 1 $ real pertur... | [] | Train |
15,820 | 3 | Title: Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness
Abstract: Intersectionality is a critical framework that, through inquiry and praxis, allows us to examine how social inequalities persist through domains of structure and discipline. Given AI fairness’ ra... | [
37343,
7663
] | Train |
15,821 | 8 | Title: Energy-Efficient Cellular-Connected UAV Swarm Control Optimization
Abstract: Cellular-connected unmanned aerial vehicle (UAV) swarm is a promising solution for diverse applications, including cargo delivery and traffic control. However, it is still challenging to communicate with and control the UAV swarm with h... | [] | Train |
15,822 | 30 | Title: Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning
Abstract: Large language models (LLMs) have shown remarkable capacity for in-context learning (ICL), where learning a new task from just a few training examples is done without being explicitly pre-trained. However... | [] | Validation |
15,823 | 16 | Title: SketchXAI: A First Look at Explainability for Human Sketches
Abstract: This paper, for the very first time, introduces human sketches to the landscape of XAI (Explainable Artificial Intelligence). We argue that sketch as a “human-centred” data form, represents a natural interface to study explainability. We focu... | [
42484,
26396
] | Train |
15,824 | 16 | Title: Design a Delicious Lunchbox in Style
Abstract: We propose a cyclic generative adversarial network with spatial-wise and channel-wise attention modules for text-to-image synthesis. To accurately depict and design scenes with multiple occluded objects, we design a pre-trained ordering recovery model and a generati... | [] | Train |
15,825 | 30 | Title: Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
Abstract: Temporal Knowledge graph completion (TKGC) is a crucial task that involves reasoning at known timestamps to complete the missing part of facts and has attracted more and more attention in recent years. Most existing methods... | [] | Train |
15,826 | 23 | Title: A Static Analysis Platform for Investigating Security Trends in Repositories
Abstract: Static analysis tools come in many forms and configurations, allowing them to handle various tasks in a (secure) development process: code style linting, bug/vulnerability detection, verification, etc., and adapt to the specif... | [] | Train |
15,827 | 16 | Title: Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion
Abstract: Depth completion and object detection are two crucial tasks often used for aerial 3D mapping, path planning, and collision avoidance of Uncrewed Aerial Vehicles (UAVs). Common solutions include using measurements... | [] | Train |
15,828 | 24 | Title: Graph Interpolation via Fast Fused-Gromovization
Abstract: Graph data augmentation has proven to be effective in enhancing the generalizability and robustness of graph neural networks (GNNs) for graph-level classifications. However, existing methods mainly focus on augmenting the graph signal space and the graph... | [
21916,
8660
] | Test |
15,829 | 16 | Title: Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction
Abstract: We introduce the task of automatic human action co-occurrence identification, i.e., determine whether two human actions can co-occur in the same interval of time. We create and make publicly available the ACE (Action Co-occurrenc... | [] | Train |
15,830 | 30 | Title: Generate to Understand for Representation
Abstract: In recent years, a significant number of high-quality pretrained models have emerged, greatly impacting Natural Language Understanding (NLU), Natural Language Generation (NLG), and Text Representation tasks. Traditionally, these models are pretrained on custom ... | [
11905
] | Train |
15,831 | 24 | Title: Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models
Abstract: Multi-task learning (MTL) creates a single machine learning model called multi-task model to simultaneously perform multiple tasks. Although the security of single task classifiers has been extensively studied, there are s... | [] | Train |
15,832 | 16 | Title: Efficient Training for Visual Tracking with Deformable Transformer
Abstract: Recent Transformer-based visual tracking models have showcased superior performance. Nevertheless, prior works have been resource-intensive, requiring prolonged GPU training hours and incurring high GFLOPs during inference due to ineffi... | [
26484
] | Train |
15,833 | 30 | Title: Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)
Abstract: We present a critical assessment of Piantadosi's (2023) claim that"Modern language models refute Chomsky's approach to language,"focusing on four main points. First, despite the impressive performance and utility of large lan... | [
13911,
13495
] | Validation |
15,834 | 30 | Title: Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR
Abstract: We propose a method of segmenting long-form speech by separating semantically complete sentences within the utterance. This prevents the ASR decoder from needlessly processing faraway context while also preventing it from m... | [
18777,
31682,
427
] | Train |
15,835 | 8 | Title: Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Abstract: Federated Learning (FL) has emerged as a promising framework for distributed training of AI-based services, applications, and network procedures in 6G. One of the major challenges affecting the perfo... | [] | Test |
15,836 | 26 | Title: Predicting Information Pathways Across Online Communities
Abstract: The problem of community-level information pathway prediction (CLIPP) aims at predicting the transmission trajectory of content across online communities. A successful solution to CLIPP holds significance as it facilitates the distribution of va... | [
15424,
31714,
18660,
11976,
34892,
34063,
12080,
14354,
26678,
37277
] | Train |
15,837 | 10 | Title: Language-Specific Representation of Emotion-Concept Knowledge Causally Supports Emotion Inference
Abstract: Understanding how language supports emotion inference remains a topic of debate in emotion science. The present study investigated whether language-derived emotion-concept knowledge would causally support ... | [
5707
] | Train |
15,838 | 24 | Title: Sequence Modeling with Multiresolution Convolutional Memory
Abstract: Efficiently capturing the long-range patterns in sequential data sources salient to a given task -- such as classification and generative modeling -- poses a fundamental challenge. Popular approaches in the space tradeoff between the memory bu... | [
19704
] | Validation |
15,839 | 24 | Title: Finite Gaussian Neurons: Defending against adversarial attacks by making neural networks say "I don't know"
Abstract: Since 2014, artificial neural networks have been known to be vulnerable to adversarial attacks, which can fool the network into producing wrong or nonsensical outputs by making humanly impercepti... | [] | Train |
15,840 | 10 | Title: Optimizing Agent Collaboration through Heuristic Multi-Agent Planning
Abstract: The SOTA algorithms for addressing QDec-POMDP issues, QDec-FP and QDec-FPS, are unable to effectively tackle problems that involve different types of sensing agents. We propose a new algorithm that addresses this issue by requiring a... | [] | Train |
15,841 | 30 | Title: Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
Abstract: Temporal concept drift refers to the problem of data changing over time. In the field of NLP, that would entail that language (e.g. new expressions, meaning shifts) and factual knowledge (e.g. new concepts, upd... | [
32896,
12602,
32364,
8207
] | Train |
15,842 | 24 | Title: Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting
Abstract: Accurate time series forecasting is a fundamental challenge in data science. It is often affected by external covariates such as weather or human intervention, which in many applications, may be predicted with reaso... | [
38007
] | Train |
15,843 | 24 | Title: Bayesian Reinforcement Learning for Automatic Voltage Control under Cyber-Induced Uncertainty
Abstract: Voltage control is crucial to large-scale power system reliable operation, as timely reactive power support can help prevent widespread outages. However, there is currently no built in mechanism for power syst... | [] | Train |
15,844 | 24 | Title: Improving Expert Specialization in Mixture of Experts
Abstract: Mixture of experts (MoE), introduced over 20 years ago, is the simplest gated modular neural network architecture. There is renewed interest in MoE because the conditional computation allows only parts of the network to be used during each inference... | [] | Train |
15,845 | 24 | Title: Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback
Abstract: We consider a combinatorial multi-armed bandit problem for maximum value reward function under maximum value and index feedback. This is a new feedback structure that lies in between commonly studied semi-bandit and ... | [] | Train |
15,846 | 30 | Title: Task-Based MoE for Multitask Multilingual Machine Translation
Abstract: Mixture-of-experts (MoE) architecture has been proven a powerful method for diverse tasks in training deep models in many applications. However, current MoE implementations are task agnostic, treating all tokens from different tasks in the s... | [
25560
] | Validation |
15,847 | 30 | Title: Span Identification of Epistemic Stance-Taking in Academic Written English
Abstract: Responding to the increasing need for automated writing evaluation (AWE) systems to assess language use beyond lexis and grammar (Burstein et al., 2016), we introduce a new approach to identify rhetorical features of stance in a... | [] | Validation |
15,848 | 36 | Title: Profit allocation in agricultural supply chains: exploring the nexus of cooperation and compensation
Abstract: In this paper, we focus on decentralized agricultural supply chains consisting of multiple non-competing distributors satisfying the demand of their respective markets. These distributors source a singl... | [] | Train |
15,849 | 30 | Title: Automated Few-shot Classification with Instruction-Finetuned Language Models
Abstract: A particularly successful class of approaches for few-shot learning combines language models with prompts -- hand-crafted task descriptions that complement data samples. However, designing prompts by hand for each task commonl... | [
37919
] | Train |
15,850 | 30 | Title: Knowledge-injected Prompt Learning for Chinese Biomedical Entity Normalization
Abstract: The Biomedical Entity Normalization (BEN) task aims to align raw, unstructured medical entities to standard entities, thus promoting data coherence and facilitating better downstream medical applications. Recently, prompt le... | [] | Validation |
15,851 | 24 | Title: Constrained Proximal Policy Optimization
Abstract: The problem of constrained reinforcement learning (CRL) holds significant importance as it provides a framework for addressing critical safety satisfaction concerns in the field of reinforcement learning (RL). However, with the introduction of constraint satisfa... | [] | Train |
15,852 | 23 | Title: A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions
Abstract: This paper evaluates the capability of two state-of-the-art artificial intelligence (AI) models, GPT-3.5 and Bard, in generating Java code given a function description. We sourced the description... | [
40192,
100,
29956,
13510,
44452,
35951,
44246
] | Test |
15,853 | 16 | Title: GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
Abstract: The usage of drones has tremendously increased in different sectors spanning from military to industrial applications. Despite all the benefits they offer, their misuse can lead to mishaps, and tackling them becomes more challe... | [] | Test |
15,854 | 24 | Title: Feature-aligned N-BEATS with Sinkhorn divergence
Abstract: In this study, we propose Feature-aligned N-BEATS as a domain generalization model for univariate time series forecasting problems. The proposed model is an extension of the doubly residual stacking architecture of N-BEATS (Oreshkin et al. [34]) into a r... | [] | Test |
15,855 | 16 | Title: Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection
Abstract: Deep neural networks (DNNs) have shown unprecedented success in object detection tasks. However, it was also discovered that DNNs are vulnerable to multiple kinds of attacks, including Backdoor Attacks. Through the attack, the atta... | [] | Train |
15,856 | 34 | Title: Massively Parallel Computation in a Heterogeneous Regime
Abstract: Massively-parallel graph algorithms have received extensive attention over the past decade, with research focusing on three memory regimes: the superlinear regime, the near-linear regime, and the sublinear regime. The sublinear regime is the most... | [] | Test |
15,857 | 24 | Title: Attention-Enhanced Deep Learning for Device-Free Through-the-Wall Presence Detection Using Indoor WiFi System
Abstract: Accurate detection of human presence in indoor environments is important for various applications, such as energy management and security. In this paper, we propose a novel system for human pre... | [] | Test |
15,858 | 22 | Title: Caos: A Reusable Scala Web Animator of Operational Semantics (Extended With Hands-On Tutorial)
Abstract: This tool paper presents Caos: a methodology and a programming framework for computer-aided design of structural operational semantics for formal models. This framework includes a set of Scala libraries and a... | [] | Test |
15,859 | 10 | Title: Disentangling Domain Ontologies
Abstract: In this paper, we introduce and illustrate the novel phenomenon of Conceptual Entanglement which emerges due to the representational manifoldness immanent while incrementally modelling domain ontologies step-by-step across the following five levels: perception, labelling... | [
41622
] | Train |
15,860 | 16 | Title: RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution
Abstract: Smartphones equipped with a multi-camera system comprising multiple cameras with different field-of-view (FoVs) are becoming more prevalent. These camera configurations are compatible with reference-based SR and video SR, ... | [] | Test |
15,861 | 27 | Title: Design and Fabrication of a Fiber Bragg Grating Shape Sensor for Shape Reconstruction of a Continuum Manipulator
Abstract: Continuum dexterous manipulators (CDMs) are suitable for performing tasks in a constrained environment due to their high dexterity and maneuverability. Despite the inherent advantages of CDM... | [] | Train |
15,862 | 24 | Title: On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
Abstract: Generative AI technologies are gaining unprecedented popularity, causing a mix of excitement and apprehension through their remarkable capabilities. In this paper, we study the challenges associated with deploying synthe... | [
256,
10947,
5158
] | Train |
15,863 | 34 | Title: Faster High Accuracy Multi-Commodity Flow from Single-Commodity Techniques
Abstract: Since the development of efficient linear program solvers in the 80s, all major improvements for solving multi-commodity flows to high accuracy came from improvements to general linear program solvers. This differs from the sing... | [
14779
] | Train |
15,864 | 27 | Title: We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving
Abstract: In this work, we consider the task of collision-free trajectory planning for connected self-driving vehicles. We specifically consider communication-critical situations--situations where single-agent systems h... | [
44574
] | Train |
15,865 | 16 | Title: IMPOSITION: Implicit Backdoor Attack through Scenario Injection
Abstract: This paper presents a novel backdoor attack called IMPlicit BackdOor Attack through Scenario InjecTION (IMPOSITION) that does not require direct poisoning of the training data. Instead, the attack leverages a realistic scenario from the tr... | [] | Train |
15,866 | 24 | Title: Improve Noise Tolerance of Robust Loss via Noise-Awareness
Abstract: Robust loss minimization is an important strategy for handling robust learning issue on noisy labels. Current approaches for designing robust losses involve the introduction of noise-robust factors, i.e., hyperparameters, to control the trade-o... | [
20780
] | Train |
15,867 | 24 | Title: Machine Learning Methods for Evaluating Public Crisis: Meta-Analysis
Abstract: This study examines machine learning methods used in crisis management. Analyzing detected patterns from a crisis involves the collection and evaluation of historical or near-realtime datasets through automated means. This paper utili... | [] | Train |
15,868 | 16 | Title: Distortion-aware Transformer in 360° Salient Object Detection
Abstract: With the emergence of VR and AR, 360{\deg} data attracts increasing attention from the computer vision and multimedia communities. Typically, 360{\deg} data is projected into 2D ERP (equirectangular projection) images for feature extraction.... | [] | Train |
15,869 | 16 | Title: DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax
Abstract: Current self-supervised monocular depth estimation methods are mostly based on estimating a rigid-body motion representing camera motion. These methods suffer from the well-known scale ambiguity problem in their predictions.... | [] | Train |
15,870 | 15 | Title: Analog, In-memory Compute Architectures for Artificial Intelligence
Abstract: This paper presents an analysis of the fundamental limits on energy efficiency in both digital and analog in-memory computing architectures, and compares their performance to single instruction, single data (scalar) machines specifical... | [] | Test |
15,871 | 16 | Title: Exploring Transformers for On-Line Handwritten Signature Verification
Abstract: The application of mobile biometrics as a user-friendly authentication method has increased in the last years. Recent studies have proposed novel behavioral biometric recognition systems based on Transformers, which currently outperf... | [] | Validation |
15,872 | 16 | Title: Tracking People in Highly Dynamic Industrial Environments
Abstract: To date, the majority of positioning systems have been designed to operate within environments that have a long-term stable macro-structure with potential small-scale dynamics. These assumptions allow the existing positioning systems to produce ... | [
44507
] | Train |
15,873 | 30 | Title: Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce
Abstract: In natural language processing (NLP) we always rely on human judgement as the golden quality evaluation method. However, there has been an ongoing debate on how to better evaluate inter-rater reliability... | [] | Train |
15,874 | 16 | Title: An end-to-end multi-scale network for action prediction in videos
Abstract: —In this paper, we develop an efficient multi-scale network to predict action classes in partial videos in an end-to-end manner. Unlike most existing methods with offline feature generation, our method directly takes frames as input and ... | [] | Validation |
15,875 | 4 | Title: Integrating Usage Control into Distributed Ledger Technology for Internet of Things Privacy
Abstract: The Internet of Things brings new ways to collect privacy-sensitive data from billions of devices. Well-tailored distributed ledger technologies (DLTs) can provide high transaction processing capacities to IoT d... | [] | Test |
15,876 | 24 | Title: Parameter Optimization of LLC-Converter with multiple operation points using Reinforcement Learning
Abstract: The optimization of electrical circuits is a difficult and time-consuming process performed by experts, but also increasingly by sophisticated algorithms. In this paper, a reinforcement learning (RL) app... | [] | Validation |
15,877 | 16 | Title: DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Abstract: In this paper, we propose a simple yet effective transformer framework for self-supervised learning called DenseDINO to learn dense visual representations. To exploit the spatial information that the dense predi... | [] | Validation |
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