node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
24,678 | 3 | Title: Trends and Challenges Towards an Effective Data-Driven Decision Making in UK SMEs: Case Studies and Lessons Learnt from the Analysis of 85 SMEs
Abstract: The adoption of data science brings vast benefits to Small and Medium-sized Enterprises (SMEs) including business productivity, economic growth, innovation and... | [] | Train |
24,679 | 28 | Title: DoF Upper Bound on Three-User MISO Broadcast Channel with Two Antennas and Mixed CSIT
Abstract: With delayed and imperfect current channel state information at the transmitter (CSIT), namely mixed CSIT, the sum degrees-of-freedom (sum-DoF) in the two-user multiple-input multiple-output (MIMO) broadcast channel a... | [] | Train |
24,680 | 24 | Title: Design of Induction Machines using Reinforcement Learning
Abstract: The design of induction machine is a challenging task due to different electromagnetic and thermal constraints. Quick estimation of machine's dimensions is important in the sales tool to provide quick quotations to customers based on specific re... | [] | Validation |
24,681 | 4 | Title: Assessing Cyclostationary Malware Detection via Feature Selection and Classification
Abstract: Cyclostationarity involves periodic statistical variations in signals and processes, commonly used in signal analysis and network security. In the context of attacks, cyclostationarity helps detect malicious behaviors ... | [
8096,
45121,
41154,
33605,
45552,
38193
] | Train |
24,682 | 26 | Title: FakeSwarm: Improving Fake News Detection with Swarming Characteristics
Abstract: The proliferation of fake news poses a serious threat to society, as it can misinform and manipulate the public, erode trust in institutions, and undermine democratic processes. To address this issue, we present FakeSwarm, a fake ne... | [
14176,
35909,
134,
7742,
15327
] | Validation |
24,683 | 31 | Title: Proactive Prioritization of App Issues via Contrastive Learning
Abstract: Mobile app stores produce a tremendous amount of data in the form of user reviews, which is a huge source of user requirements and sentiments; such reviews allow app developers to proactively address issues in their apps. However, only a s... | [
20020
] | Test |
24,684 | 6 | Title: Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification
Abstract: How do people internalize visualizations: as images or information? In this study, we investigate the nature of internalization for visualizations (i.e., how the mind encodes visualizations in memory) and h... | [] | Train |
24,685 | 27 | Title: Learning Robust, Agile, Natural Legged Locomotion Skills in the Wild
Abstract: Recently, reinforcement learning has become a promising and polular solution for robot legged locomotion. Compared to model-based control, reinforcement learning based controllers can achieve better robustness against uncertainties of... | [] | Validation |
24,686 | 16 | Title: SEM-CS: Semantic CLIPStyler for Text-Based Image Style Transfer
Abstract: CLIPStyler demonstrated image style transfer with realistic textures using only a style text description (instead of requiring a reference style image). However, the ground semantics of objects in the style transfer output is lost due to s... | [] | Validation |
24,687 | 30 | Title: Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance
Abstract: Retrieval augmented models show promise in enhancing traditional language models by improving their contextual understanding, integrating private data, and reducing hallucination. However, the processing time required for retrie... | [
13700
] | Test |
24,688 | 24 | Title: The Geometry of Mixability
Abstract: Mixable loss functions are of fundamental importance in the context of prediction with expert advice in the online setting since they characterize fast learning rates. By re-interpreting properness from the point of view of differential geometry, we provide a simple geometric... | [] | Train |
24,689 | 16 | Title: DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
Abstract: Cross-view multi-object tracking aims to link objects between frames and camera views with substantial overlaps. Although cross-view multi-object tracking has received increased attention in recen... | [
45082
] | Train |
24,690 | 4 | Title: Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance
Abstract: Provenance graphs are structured audit logs that describe the history of a system's execution. Recent studies have explored a variety of techniques to analyze provenance graphs for automated host intrusion detection, ... | [] | Train |
24,691 | 27 | Title: A Sensor Fusion Approach for Improving Implementation Speed and Accuracy of RTAB-Map Algorithm Based Indoor 3D Mapping
Abstract: Due to its numerous successful applications in industries like robotics, and autonomous navigation, 3D mapping for indoor environments has undergone much research and development. The ... | [] | Validation |
24,692 | 27 | Title: Inspection planning under execution uncertainty
Abstract: Autonomous inspection tasks necessitate effective path-planning mechanisms to efficiently gather observations from points of interest (POI). However, localization errors commonly encountered in urban environments can introduce execution uncertainty, posin... | [
36475
] | Train |
24,693 | 16 | Title: ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking
Abstract: The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object tracking and segmentation. In this study, we convert the bounding b... | [
6560,
21608,
3951,
26484,
11894
] | Train |
24,694 | 24 | Title: Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
Abstract: We study the task of agnostically learning halfspaces under the Gaussian distribution. Specifically, given labeled examples $(\mathbf{x},y)$ from an unknown distribution on $\mathbb{R}^n... | [
15050,
9338,
31915,
708
] | Validation |
24,695 | 16 | Title: Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains
Abstract: This paper proposes an adaptive graph-based approach for multi-label image classification. Graph-based methods have been largely exploited in the field of multi-label classification, g... | [
43143
] | Train |
24,696 | 3 | Title: Digital Twins for Ports: Derived From Smart City and Supply Chain Twinning Experience
Abstract: Ports are striving for innovative technological solutions to cope with the ever-increasing growth of transport, while at the same time improving their environmental footprint. An emerging technology that has the poten... | [
8419
] | Test |
24,697 | 16 | Title: Sketch2Stress: Sketching with Structural Stress Awareness
Abstract: In the process of product design and digital fabrication, the structural analysis of a designed prototype is a fundamental and essential step. However, such a step is usually invisible or inaccessible to designers at the early sketching phase. T... | [] | Train |
24,698 | 23 | Title: RLocator: Reinforcement Learning for Bug Localization
Abstract: Software developers spend a significant portion of time fixing bugs in their projects. To streamline this process, bug localization approaches have been proposed to identify the source code files that are likely responsible for a particular bug. Pri... | [] | Validation |
24,699 | 27 | Title: Instance-wise Grasp Synthesis for Robotic Grasping
Abstract: Generating high-quality instance-wise grasp con-figurations provides critical information of how to grasp specific objects in a multi-object environment and is of high importance for robot manipulation tasks. This work proposed a novel Single-Stage Gra... | [] | Test |
24,700 | 24 | Title: Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Abstract: Task-agnostic cross-domain pre-training shows great potential in image-based Reinforcement Learning (RL) but poses a big challenge. In this paper, we propose CRPTpro, a Cross-domain self-supervised Random Pre-Training framework... | [] | Train |
24,701 | 16 | Title: PDiscoNet: Semantically consistent part discovery for fine-grained recognition
Abstract: Fine-grained classification often requires recognizing specific object parts, such as beak shape and wing patterns for birds. Encouraging a fine-grained classification model to first detect such parts and then using them to ... | [] | Train |
24,702 | 30 | Title: Plug-and-Play Medical Dialogue System
Abstract: Medical dialogue systems aim to provide accurate answers to patients, necessitating specific domain knowledge. Recent advancements in Large Language Models (LLMs) have demonstrated their exceptional capabilities in the medical Q&A domain, indicating a rich understa... | [
41043,
971,
8213,
43327
] | Test |
24,703 | 24 | Title: Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds
Abstract: While numerous works have focused on devising efficient algorithms for reinforcement learning (RL) with uniformly bounded rewards, it remains an open question whethe... | [
40320,
6306,
18933,
38029
] | Test |
24,704 | 10 | Title: From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders
Abstract: We present a constraint-based algorithm for learning causal structures from observational time-series data, in the presence of latent confounders. We assume a discrete-time, stationary structural vector au... | [] | Validation |
24,705 | 16 | Title: Nonrigid Object Contact Estimation With Regional Unwrapping Transformer
Abstract: Acquiring contact patterns between hands and nonrigid objects is a common concern in the vision and robotics community. However, existing learning-based methods focus more on contact with rigid ones from monocular images. When adop... | [
44437
] | Train |
24,706 | 31 | Title: Uncovering ChatGPT’s Capabilities in Recommender Systems
Abstract: The debut of ChatGPT has recently attracted significant attention from the natural language processing (NLP) community and beyond. Existing studies have demonstrated that ChatGPT shows significant improvement in a range of downstream NLP tasks, b... | [
40192,
4610,
8978,
43930,
44445,
39,
36142,
24503,
12602,
3643,
9917,
22465,
5065,
14282,
10069,
19159,
45406,
44776,
7665,
1909,
23286
] | Test |
24,707 | 4 | Title: Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-Things
Abstract: This article proposes a blockchain-based federated learning (FL) framework with Intel Software Guard Extension (SGX)-based trusted execution environment (TEE) to securely aggregate local ... | [
45368,
19639
] | Validation |
24,708 | 30 | Title: Cross-corpus Readability Compatibility Assessment for English Texts
Abstract: Text readability assessment has gained significant attention from researchers in various domains. However, the lack of exploration into corpus compatibility poses a challenge as different research groups utilize different corpora. In t... | [] | Test |
24,709 | 24 | Title: A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail
Abstract: nan | [] | Validation |
24,710 | 24 | Title: Composable Core-sets for Diversity Approximation on Multi-Dataset Streams
Abstract: Core-sets refer to subsets of data that maximize some function that is commonly a diversity or group requirement. These subsets are used in place of the original data to accomplish a given task with comparable or even enhanced pe... | [] | Train |
24,711 | 24 | Title: Verifying Properties of Tsetlin Machines
Abstract: Tsetlin Machines (TsMs) are a promising and interpretable machine learning method which can be applied for various classification tasks. We present an exact encoding of TsMs into propositional logic and formally verify properties of TsMs using a SAT solver. In p... | [] | Validation |
24,712 | 28 | Title: Information-Theoretical Approach to Integrated Pulse-Doppler Radar and Communication Systems
Abstract: Integrated sensing and communication improves the design of systems by combining sensing and communication functions for increased efficiency, accuracy, and cost savings. The optimal integration requires unders... | [] | Validation |
24,713 | 16 | Title: Automatic vision-based parking slot detection and occupancy classification
Abstract: nan | [] | Train |
24,714 | 24 | Title: Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence
Abstract: Current automated systems have crucial limitations that need to be addressed before artificial intelligence can reach human-like levels and bring new technological revolutions. Among others, our societie... | [] | Train |
24,715 | 16 | Title: 3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding
Abstract: 3D visual grounding aims to localize the target object in a 3D point cloud by a free-form language description. Typically, the sentences describing the target object tend to provide information about its relative relation between othe... | [
31776,
19677
] | Train |
24,716 | 17 | Title: 3D Gaussian Splatting for Real-Time Radiance Field Rendering
Abstract: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recen... | [
37352,
16521,
41481,
3277,
1751,
32762,
7068,
41055
] | Train |
24,717 | 16 | Title: Global Features are All You Need for Image Retrieval and Reranking
Abstract: Image retrieval systems conventionally use a two-stage paradigm, leveraging global features for initial retrieval and local features for reranking. However, the scalability of this method is often limited due to the significant storage ... | [] | Train |
24,718 | 24 | Title: VerilogEval: Evaluating Large Language Models for Verilog Code Generation
Abstract: The increasing popularity of large language models (LLMs) has paved the way for their application in diverse domains. This paper proposes a benchmarking framework tailored specifically for evaluating LLM performance in the contex... | [
14592,
2980,
33220,
13510,
2219,
24428,
17517,
26766,
24308,
40380,
29215
] | Train |
24,719 | 24 | Title: Efficient Parametric Approximations of Neural Network Function Space Distance
Abstract: It is often useful to compactly summarize important properties of model parameters and training data so that they can be used later without storing and/or iterating over the entire dataset. As a specific case, we consider est... | [
35336
] | Train |
24,720 | 4 | Title: NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios
Abstract: Current frameworks for training offensive penetration testing agents with deep reinforcement learning struggle to produce agents that perform well in real-world scenarios, due to the reality gap in simulat... | [
15993
] | Train |
24,721 | 30 | Title: Efficient Encoders for Streaming Sequence Tagging
Abstract: A naive application of state-of-the-art bidirectional encoders for streaming sequence tagging would require encoding each token from scratch for each new token in an incremental streaming input (like transcribed speech). The lack of re-usability of prev... | [
32371,
6150
] | Train |
24,722 | 27 | Title: Scientific exploration of challenging planetary analog environments with a team of legged robots
Abstract: The interest in exploring planetary bodies for scientific investigation and in situ resource utilization is ever-rising. Yet, many sites of interest are inaccessible to state-of-the-art planetary exploratio... | [] | Train |
24,723 | 10 | Title: On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Abstract: Explainable Artificial Intelligence (XAI) has received widespread interest in recent years, and two of the most popular types of explanations are feature attributions, and counterfactual explanations. These cl... | [] | Train |
24,724 | 30 | Title: Translatotron 3: Speech to Speech Translation with Monolingual Data
Abstract: This paper presents Translatotron 3, a novel approach to train a direct speech-to-speech translation model from monolingual speech-text datasets only in a fully unsupervised manner. Translatotron 3 combines masked autoencoder, unsuperv... | [
9610
] | Train |
24,725 | 10 | Title: Categorical Approach to Conflict Resolution: Integrating Category Theory into the Graph Model for Conflict Resolution
Abstract: This paper introduces the Categorical Graph Model for Conflict Resolution (C-GMCR), a novel framework that integrates category theory into the traditional Graph Model for Conflict Resol... | [] | Validation |
24,726 | 33 | Title: Kunz languages for numerical semigroups are context sensitive
Abstract: There is a one-to-one and onto correspondence between the class of numerical semigroups of depth $n$, where $n$ is an integer, and a certain language over the alphabet $\{1,\ldots,n\}$ which we call a Kunz language of depth $n$. The Kunz lan... | [] | Test |
24,727 | 30 | Title: Assessing the efficacy of large language models in generating accurate teacher responses
Abstract: (Tack et al., 2023) organized the shared task hosted by the 18th Workshop on Innovative Use of NLP for Building Educational Applications on generation of teacher language in educational dialogues. Following the str... | [
13700,
41101
] | Validation |
24,728 | 24 | Title: Polynomial Bounds for Learning Noisy Optical Physical Unclonable Functions and Connections to Learning With Errors
Abstract: It is shown that a class of optical physical unclonable functions (PUFs) can be learned to arbitrary precision with arbitrarily high probability, even in the presence of noise, given acces... | [] | Train |
24,729 | 30 | Title: Who could be behind QAnon? Authorship attribution with supervised machine-learning
Abstract: A series of social media posts signed under the pseudonym"Q", started a movement known as QAnon, which led some of its most radical supporters to violent and illegal actions. To identify the person(s) behind Q, we evalua... | [] | Test |
24,730 | 24 | Title: On the Lipschitz Constant of Deep Networks and Double Descent
Abstract: Existing bounds on the generalization error of deep networks assume some form of smooth or bounded dependence on the input variable, falling short of investigating the mechanisms controlling such factors in practice. In this work, we present... | [
25611,
8869
] | Train |
24,731 | 28 | Title: Multi-User Reconfigurable Intelligent Surface-Aided Communications Under Discrete Phase Shifts
Abstract: This paper focuses on studying orthogonal and non-orthogonal multiple access in intelligent reflecting surface (IRS)-aided systems. Unlike most prior works assuming continuous phase shifts, we employ the prac... | [
32620,
1684,
18916
] | Test |
24,732 | 30 | Title: ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
Abstract: The answering quality of an aligned large language model (LLM) can be drastically improved if treated with proper crafting of prompts. In this paper, we propose ExpertPrompting to elicit the potential of LLMs to answer as di... | [
1024,
13345,
16556,
2549,
9910,
4823,
23382,
13495,
35130
] | Train |
24,733 | 24 | Title: MOLE: MOdular Learning FramEwork via Mutual Information Maximization
Abstract: This paper is to introduce an asynchronous and local learning framework for neural networks, named Modular Learning Framework (MOLE). This framework modularizes neural networks by layers, defines the training objective via mutual info... | [
20089
] | Train |
24,734 | 10 | Title: Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform
Abstract: For an AI solution to evolve from a trained machine learning model into a production-ready AI system, many more things need to be considered than just the performance of the machine learning model. A production-ready AI s... | [] | Train |
24,735 | 24 | Title: Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Abstract: Pruning is a promising approach to compress deep learning models in order to deploy them on resource-constrained edge devices. However, many existing pruning solutions are based on unstructured pruning, which yields mo... | [] | Validation |
24,736 | 16 | Title: SIMARA: a database for key-value information extraction from full pages
Abstract: We propose a new database for information extraction from historical handwritten documents. The corpus includes 5,393 finding aids from six different series, dating from the 18th-20th centuries. Finding aids are handwritten documen... | [] | Test |
24,737 | 27 | Title: Invariant Descriptors of Motion and Force Trajectories for Interpreting Object Manipulation Tasks in Contact
Abstract: Invariant descriptors of point and rigid-body motion trajectories have been proposed in the past as representative task models for motion recognition and generalization. Currently, no invariant ... | [] | Test |
24,738 | 33 | Title: Register Minimization of Cost Register Automata over a Field
Abstract: Weighted automata (WA) are an extension of finite automata that defines functions from words to values in a given semi-ring. An alternative model that is deterministic, called Cost Register Automata (CRA), was introduced by Alur et al. It enr... | [] | Train |
24,739 | 5 | Title: PyExperimenter: Easily distribute experiments and track results
Abstract: PyExperimenter is a tool to facilitate the setup, documentation, execution, and subsequent evaluation of results from an empirical study of algorithms and in particular is designed to reduce the involved manual effort significantly. It is ... | [] | Validation |
24,740 | 26 | Title: How Transitive Are Real-World Group Interactions? - Measurement and Reproduction
Abstract: Many real-world interactions (e.g., researcher collaborations and email communication) occur among multiple entities. These group interactions are naturally modeled as hypergraphs. In graphs, transitivity is helpful to und... | [] | Validation |
24,741 | 16 | Title: Augmenting Sub-model to Improve Main Model
Abstract: Image classification has improved with the development of training techniques. However, these techniques often require careful parameter tuning to balance the strength of regularization, limiting their potential benefits. In this paper, we propose a novel way ... | [
29873,
25654
] | Train |
24,742 | 8 | Title: Modular Simulation Environment Towards OTN AI-based Solutions
Abstract: The current trend for highly dynamic and virtualized networking infrastructure made automated networking a critical requirement. Multiple solutions have been proposed to address this, including the most sought-after machine learning ML-based... | [] | Train |
24,743 | 16 | Title: UMat: Uncertainty-Aware Single Image High Resolution Material Capture
Abstract: We propose a learning-based method to recover normals, specularity, and roughness from a single diffuse image of a material, using microgeometry appearance as our primary cue. Previous methods that work on single images tend to produ... | [
43218
] | Train |
24,744 | 16 | Title: Referring Image Segmentation Using Text Supervision
Abstract: Existing Referring Image Segmentation (RIS) methods typically require expensive pixel-level or box-level annotations for supervision. In this paper, we observe that the referring texts used in RIS already provide sufficient information to localize the... | [
28526
] | Train |
24,745 | 24 | Title: CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Abstract: The electronic design automation of analog circuits has been a longstanding challenge in the integrated circuit field due to the huge design space and complex design trade-offs among circuit specifications. In the past decades, inten... | [] | Test |
24,746 | 16 | Title: Self-supervised Facial Action Unit Detection with Region and Relation Learning
Abstract: Facial action unit (AU) detection is a challenging task due to the scarcity of manual annotations. Recent works on AU detection with self-supervised learning have emerged to address this problem, aiming to learn meaningful A... | [] | Test |
24,747 | 10 | Title: Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm
Abstract: As technology progresses, industrial and scientific robots are increasingly being used in diverse settings. In many cases, however, programming the robot to perform such tasks is technically complex and costly... | [] | Test |
24,748 | 10 | Title: Suffering Toasters -- A New Self-Awareness Test for AI
Abstract: A widely accepted definition of intelligence in the context of Artificial Intelligence (AI) still eludes us. Due to our exceedingly rapid development of AI paradigms, architectures, and tools, the prospect of naturally arising AI consciousness seem... | [] | Train |
24,749 | 23 | Title: A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification
Abstract: In this paper we present a novel solution that combines the capabilities of Large Language Models (LLMs) with Formal Verification strategies to verify and automatically repair software vulner... | [
37411,
7942,
39466,
651,
25227,
32203,
38543,
43471,
11190,
5078,
34872,
703
] | Train |
24,750 | 16 | Title: GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data
Abstract: Geometric information in the normalized digital surface models (nDSM) is highly correlated with the semantic class of the land cover. Exploiting two modalities (RGB and nDSM (height)) jointly has great potential... | [
43833
] | Test |
24,751 | 24 | Title: Robust Average-Reward Markov Decision Processes
Abstract: In robust Markov decision processes (MDPs), the uncertainty in the transition kernel is addressed by finding a policy that optimizes the worst-case performance over an uncertainty set of MDPs. While much of the literature has focused on discounted MDPs, r... | [
21641,
43185,
45041,
10247
] | Validation |
24,752 | 24 | Title: Benchmarking sparse system identification with low-dimensional chaos
Abstract: nan | [
28952,
38918
] | Train |
24,753 | 16 | Title: Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
Abstract: The artificial intelligence (AI) system has achieved expert-level performance in electrocardiogram (ECG) signal analysis. However, in underdeveloped countries or regions where the healthca... | [] | Train |
24,754 | 28 | Title: Symbol-Level Noise-Guessing Decoding with Antenna Sorting for URLLC Massive MIMO
Abstract: Supporting ultra-reliable and low-latency communication (URLLC) is a challenge in current wireless systems. Channel codes that generate large codewords improve reliability but necessitate the use of interleavers, which int... | [] | Train |
24,755 | 4 | Title: Assessing the Impact of Mobile Attackers on RPL-based Internet of Things
Abstract: The Internet of Things (IoT) is becoming ubiquitous in our daily life. IoT networks that are made up of devices low power, low memory, and low computing capability appears in many applications such as healthcare, home, agriculture... | [] | Train |
24,756 | 16 | Title: ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models
Abstract: Large language models (LLMs) have recently demonstrated their potential in clinical applications, providing valuable medical knowledge and advice. For example, a large dialog LLM like ChatGPT has successfully pas... | [
39170,
43267,
45189,
11273,
29219,
36263,
21928,
18858,
31147,
3248,
36918,
22713,
14778,
11199,
13631,
14281,
25675,
11476,
16471,
32600,
17248
] | Validation |
24,757 | 30 | Title: Evaluating Factual Consistency of Summaries with Large Language Models
Abstract: Detecting factual errors in summaries has been an important and challenging subject in summarization research. Inspired by the emergent ability of large language models (LLMs), we explore evaluating factual consistency of summaries ... | [
38208,
33220
] | Train |
24,758 | 30 | Title: Context-Gloss Augmentation for Improving Arabic Target Sense Verification
Abstract: Arabic language lacks semantic datasets and sense inventories. The most common semantically-labeled dataset for Arabic is the ArabGlossBERT, a relatively small dataset that consists of 167K context-gloss pairs (about 60K positive... | [] | Validation |
24,759 | 27 | Title: The Bystander Affect Detection (BAD) Dataset for Failure Detection in HRI
Abstract: For a robot to repair its own error, it must first know it has made a mistake. One way that people detect errors is from the implicit reactions from bystanders -- their confusion, smirks, or giggles clue us in that something unex... | [
5775
] | Train |
24,760 | 30 | Title: How Language Model Hallucinations Can Snowball
Abstract: A major risk of using language models in practical applications is their tendency to hallucinate incorrect statements. Hallucinations are often attributed to knowledge gaps in LMs, but we hypothesize that in some cases, when justifying previously generated... | [
40323,
17801,
22286,
37411,
34339,
9518,
43585,
8390,
7239,
17606,
11723,
43083,
38102,
34783,
481,
26210,
45923,
34545,
4466,
27636,
1401,
42747
] | Validation |
24,761 | 16 | Title: 3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
Abstract: Many skeletal action recognition models use GCNs to represent the human body by 3D body joints connected body parts. GCNs aggregate one- or few-hop graph neighbourhoods, and ignore the dependency between not linked body joints... | [] | Train |
24,762 | 10 | Title: Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index
Abstract: This is a study on the potential widespread usage of alternative fuel vehicles, linking them with the socio-economic status of the respective consumers as well as the impact on the resulting air quality index. Re... | [] | Validation |
24,763 | 16 | Title: SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Abstract: Diffusion models have achieved remarkable success in text-to-image generation, enabling the creation of high-quality images from text prompts or other modalities. However, existing methods for customizing these models are limited by handling mul... | [
34311,
25739,
30737,
30360,
14361,
34074,
18205,
4766,
21152,
7458,
20514,
6052,
10788,
31913,
11820,
36524,
305,
38066,
23092,
26809,
11841,
15811,
10070,
43867,
10332,
36833,
1767,
16103,
3690,
15983,
17647,
27379,
28532,
14581,
22010
] | Train |
24,764 | 30 | Title: Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations
Abstract: In this paper, we advocate for using large pre-trained monolingual language models in cross lingual zero-shot word sense disambiguation (WSD) coupled with a contextualized mapping mechanis... | [
27057,
4899,
31187,
21574
] | Train |
24,765 | 16 | Title: EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss
Abstract: Event cameras offer promising properties, such as high temporal resolution and high dynamic range. These benefits have been utilized into many machine vision tasks, especially o... | [] | Train |
24,766 | 13 | Title: Multi-Task Multi-Behavior MAP-Elites
Abstract: We propose Multi-Task Multi-Behavior MAP-Elites, a variant of MAP-Elites that finds a large number of high-quality solutions for a large set of tasks (optimization problems from a given family). It combines the original MAP-Elites for the search for diversity and Mu... | [
42292
] | Train |
24,767 | 23 | Title: CloudScent: a model for code smell analysis in open-source cloud
Abstract: The low cost and rapid provisioning capabilities have made open-source cloud a desirable platform to launch industrial applications. However, as open-source cloud moves towards maturity, it still suffers from quality issues like code smel... | [] | Train |
24,768 | 24 | Title: Online Reinforcement Learning in Periodic MDP
Abstract: We study learning in periodic Markov Decision Process (MDP), a special type of non-stationary MDP where both the state transition probabilities and reward functions vary periodically, under the average reward maximization setting. We formulate the problem a... | [] | Train |
24,769 | 16 | Title: Deep Video Restoration for Under-Display Camera
Abstract: Images or videos captured by the Under-Display Camera (UDC) suffer from severe degradation, such as saturation degeneration and color shift. While restoration for UDC has been a critical task, existing works of UDC restoration focus only on images. UDC vi... | [] | Test |
24,770 | 16 | Title: Adaptive Local Basis Functions for Shape Completion
Abstract: In this paper, we focus on the task of 3D shape completion from partial point clouds using deep implicit functions. Existing methods seek to use voxelized basis functions or the ones from a certain family of functions (e.g., Gaussians), which leads to... | [] | Train |
24,771 | 6 | Title: Frankenstein's Toolkit: Prototyping Electronics Using Consumer Products
Abstract: In our practice as educators, researchers and designers we have found that centering reverse engineering and reuse has pedagogical, environmental, and economic benefits. Design decisions in the development of new hardware tool-kits... | [] | Train |
24,772 | 24 | Title: Scaling in Depth: Unlocking Robustness Certification on ImageNet
Abstract: Despite the promise of Lipschitz-based methods for provably-robust deep learning with deterministic guarantees, current state-of-the-art results are limited to feed-forward Convolutional Networks (ConvNets) on low-dimensional data, such a... | [
7433,
34092,
31977
] | Validation |
24,773 | 25 | Title: A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion
Abstract: Previous research has shown that established techniques for spoken voice conversion (VC) do not perform as well when applied to singing voice conversion (SVC). We propose an alternative loss component in a loss function that... | [] | Train |
24,774 | 34 | Title: A Simple Data Structure for Maintaining a Discrete Probability Distribution
Abstract: We revisit the following problem: given a set of indices $S = \{1, \dots, n\}$ and weights $w_1, \dots, w_n \in \mathbb{R}_{>0}$, provide samples from $S$ with distribution $p(i) = w_i / W$ where $W = \sum_j w_j$ gives the prop... | [] | Train |
24,775 | 16 | Title: Neural Interactive Keypoint Detection
Abstract: This work proposes an end-to-end neural interactive keypoint detection framework named Click-Pose, which can significantly reduce more than 10 times labeling costs of 2D keypoint annotation compared with manual-only annotation. Click-Pose explores how user feedback... | [
12489,
33218
] | Train |
24,776 | 24 | Title: Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
Abstract: Large language models (LLMs) are excellent in-context learners. However, the sensitivity of data contained in prompts raises privacy concerns. Our work first shows that these concerns are valid: we instantiat... | [] | Train |
24,777 | 16 | Title: Incorporating Season and Solar Specificity into Renderings made by a NeRF Architecture using Satellite Images
Abstract: As a result of Shadow NeRF and Sat-NeRF, it is possible to take the solar angle into account in a NeRF-based framework for rendering a scene from a novel viewpoint using satellite images for tr... | [
38751
] | Test |
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