Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
33,378	24	Title: ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond Abstract: Oversmoothing is a common phenomenon in a wide range of Graph Neural Networks (GNNs) and Transformers, where performance worsens as the number of layers increases. Instead of characterizing oversmoothing from the view of complet...	[ 4474, 21050 ]	Validation
33,379	24	Title: Revisiting N-CNN for Clinical Practice Abstract: This paper revisits the Neonatal Convolutional Neural Network (N-CNN) by optimizing its hyperparameters and evaluating how they affect its classification metrics, explainability and reliability, discussing their potential impact in clinical practice. We have chose...	[]	Train
33,380	31	Title: An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval Abstract: In this paper, we report our methods and experiments for the TREC Conversational Assistance Track (CAsT) 2022. In this work, we aim to reproduce multi-stage retrieval pipelines and explore one of the potent...	[ 39710 ]	Validation
33,381	16	Title: DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection Abstract: Existing deepfake detection methods fail to generalize well to unseen or degraded samples, which can be attributed to the over-fitting of low-level forgery patterns. Here we argue that high-level semantics are also indispensable recipes for ge...	[]	Train
33,382	10	Title: Structuring ontologies in a context of collaborative system modelling Abstract: Prospective studies require discussing and collaborating with the stakeholders to create scenarios of the possible evolution of the studied value-chain. However, stakeholders don’t always use the same words when referring to one idea...	[]	Validation
33,383	3	Title: Taxonomizing and Measuring Representational Harms: A Look at Image Tagging Abstract: In this paper, we examine computational approaches for measuring the "fairness" of image tagging systems, finding that they cluster into five distinct categories, each with its own analytic foundation. We also identify a range o...	[ 40586 ]	Train
33,384	30	Title: What does BERT learn about prosody? Abstract: Language models have become nearly ubiquitous in natural language processing applications achieving state-of-the-art results in many tasks including prosody. As the model design does not define predetermined linguistic targets during training but rather aims at learn...	[]	Test
33,385	24	Title: Attention-based Dynamic Graph Convolutional Recurrent Neural Network for Traffic Flow Prediction in Highway Transportation Abstract: As one of the important tools for spatial feature extraction, graph convolution has been applied in a wide range of fields such as traffic flow prediction. However, current popular...	[]	Train
33,386	9	Title: Restricted Holant Dichotomy on Domains 3 and 4 Abstract: $\operatorname{Holant}^(f)$ denotes a class of counting problems specified by a constraint function $f$. We prove complexity dichotomy theorems for $\operatorname{Holant}^(f)$ in two settings: (1) $f$ is any arity-3 real-valued function on input of domai...	[]	Train
33,387	1	Title: Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection Abstract: Deepfake techniques have been widely used for malicious purposes, prompting extensive research interest in developing Deepfake detection methods. Deepfake manipulations typically involve tampering with faci...	[]	Train
33,388	36	Title: Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do Abstract: The framework of multi-agent learning explores the dynamics of how individual agent strategies evolve in response to the evolving strategies of other agents. Of particular interest is whether or not agent strategies c...	[]	Validation
33,389	10	Title: Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework Abstract: Fault diagnosis is essential in industrial processes for monitoring the conditions of important machines. With the ever-increasing complexity of working conditions and demand for safety during production...	[]	Train
33,390	24	Title: Non-autoregressive Conditional Diffusion Models for Time Series Prediction Abstract: Recently, denoising diffusion models have led to significant breakthroughs in the generation of images, audio and text. However, it is still an open question on how to adapt their strong modeling ability to model time series. In...	[ 8308, 34247 ]	Train
33,391	23	Title: Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review Abstract: This paper provides a comprehensive review of the literature concerning the utilization of Natural Language Processing (NLP) techniques, with a particular focus on transformer-based large language models (LL...	[ 32450, 13700, 21509, 33220, 25522, 41234, 14869, 11190 ]	Test
33,392	24	Title: Enhancing Adversarial Robustness via Score-Based Optimization Abstract: Adversarial attacks have the potential to mislead deep neural network classifiers by introducing slight perturbations. Developing algorithms that can mitigate the effects of these attacks is crucial for ensuring the safe use of artificial in...	[ 1905 ]	Train
33,393	24	Title: Bridging Distribution Learning and Image Clustering in High-dimensional Space Abstract: Distribution learning focuses on learning the probability density function from a set of data samples. In contrast, clustering aims to group similar objects together in an unsupervised manner. Usually, these two tasks are con...	[ 20882 ]	Test
33,394	30	Title: Large Language Models for Healthcare Data Augmentation: An Example on Patient-Trial Matching Abstract: The process of matching patients with suitable clinical trials is essential for advancing medical research and providing optimal care. However, current approaches face challenges such as data standardization, e...	[ 35388, 8047 ]	Test
33,395	24	Title: Leveraging Domain Relations for Domain Generalization Abstract: Distribution shift is a major challenge in machine learning, as models often perform poorly during the test stage if the test distribution differs from the training distribution. In this paper, we focus on domain shifts, which occur when the model i...	[ 4089, 40133 ]	Train
33,396	24	Title: Random postprocessing for combinatorial Bayesian optimization Abstract: Model-based sequential approaches to discrete"black-box"optimization, including Bayesian optimization techniques, often access the same points multiple times for a given objective function in interest, resulting in many steps to find the glo...	[]	Train
33,397	31	Title: Chunked Lists versus Extensible Arrays for Text Inversion Abstract: In our 2017 work on in-memory list-based text inversion [Hawking and Billerbeck. Efficient In-Memory, List-Based Text Inversion. ADCS 2017] we compared memory use and indexing speed of a considerable number of variants of chunked linked lists. I...	[]	Train
33,398	25	Title: MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems Abstract: Automatic speech recognition (ASR) systems based on deep neural networks are weak against adversarial perturbations. We propose mixPGD adversarial training method to improve the robustness of the model for ASR systems. In standard adver...	[]	Test
33,399	28	Title: Concomitant Group Testing Abstract: In this paper, we introduce a variation of the group testing problem capturing the idea that a positive test requires a combination of multiple ``types'' of item. Specifically, we assume that there are multiple disjoint \emph{semi-defective sets}, and a test is positive if and...	[]	Validation
33,400	27	Title: Learning Off-Road Terrain Traversability With Self-Supervisions Only Abstract: Estimating the traversability of terrain should be reliable and accurate in diverse conditions for autonomous driving in off-road environments. However, learning-based approaches often yield unreliable results when confronted with unf...	[ 36831, 42255 ]	Train
33,401	4	Title: Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing Abstract: Gaussian process regression (GPR) is a non-parametric model that has been used in many real-world applications that involve sensitive personal data (e.g., healthcare, finance, etc.) from multiple data owners. To fully and secur...	[]	Train
33,402	5	Title: Runtime Variation in Big Data Analytics Abstract: The dynamic nature of resource allocation and runtime conditions on Cloud can result in high variability in a job's runtime across multiple iterations, leading to a poor experience. Identifying the sources of such variation and being able to predict and adjust fo...	[]	Train
33,403	16	Title: ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning Abstract: In this paper, we introduce a framework ARBEx, a novel attentive feature extraction framework driven by Vision Transformer with reliability balancing to cope against poor class distributions, bias, and ...	[ 17722, 23627, 18700 ]	Train
33,404	10	Title: Epistemic Syllogistic: First Steps Abstract: Aristotle's discussions on modal syllogistic have often been viewed as error-prone and have garnered significant attention in the literature due to historical and philosophical interests. However, from a contemporary standpoint, they also introduced natural fragments ...	[]	Train
33,405	34	Title: Resolving the Steiner Point Removal Problem in Planar Graphs via Shortcut Partitions Abstract: Recently the authors [CCLMST23] introduced the notion of shortcut partition of planar graphs and obtained several results from the partition, including a tree cover with $O(1)$ trees for planar metrics and an additive ...	[ 19313, 41020 ]	Train
33,406	38	Title: Scientific knowledge production of blockchain: A bibliometric and lexicometric review Abstract: While recent reviews of blockchain technology have focused on the latest developments in cryptocurrency and their derivative impacts, less attention has been given to analysing their knowledge paths and boundaries bas...	[]	Test
33,407	27	Title: Resolving Ambiguity via Dialogue to Correct Unsynthesizable Controllers for Free-Flying Robots Abstract: For human-robot teams that operate in space, safety and robustness are paramount. In situations such as habitat construction, station inspection, or cooperative exploration, incorrect assumptions about the en...	[]	Train
33,408	24	Title: A survey and taxonomy of loss functions in machine learning Abstract: Most state-of-the-art machine learning techniques revolve around the optimisation of loss functions. Defining appropriate loss functions is therefore critical to successfully solving problems in this field. We present a survey of the most comm...	[ 33357 ]	Train
33,409	2	Title: Semi-Simplicial Set Models for Distributed Knowledge Abstract: In recent years, a new class of models for multi-agent epistemic logic has emerged, based on simplicial complexes. Since then, many variants of these simplicial models have been investigated, giving rise to different logics and axiomatizations. In th...	[]	Train
33,410	6	Title: CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models Abstract: CatAlyst uses generative models to help workers’ progress by influencing their task engagement instead of directly contributing to their task outputs. It prompts distracted workers to resume their...	[]	Train
33,411	16	Title: Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers Abstract: nan	[ 22912, 26016 ]	Train
33,412	27	Title: Joint Metrics Matter: A Better Standard for Trajectory Forecasting Abstract: Multi-modal trajectory forecasting methods commonly evaluate using single-agent metrics (marginal metrics), such as minimum Average Displacement Error (ADE) and Final Displacement Error (FDE), which fail to capture joint performance of ...	[ 26224, 15524 ]	Train
33,413	27	Title: Understanding the Application of Utility Theory in Robotics and Artificial Intelligence: A Survey Abstract: As a unifying concept in economics, game theory, and operations research, even in the Robotics and AI field, the utility is used to evaluate the level of individual needs, preferences, and interests. Espec...	[ 31160, 27060 ]	Validation
33,414	16	Title: Better Diffusion Models Further Improve Adversarial Training Abstract: It has been recognized that the data generated by the denoising diffusion probabilistic model (DDPM) improves adversarial training. After two years of rapid development in diffusion models, a question naturally arises: can better diffusion mo...	[ 25740, 31248, 1300, 7574, 39840, 17959, 17064, 40233, 7467, 34092, 45105, 17851, 27468, 30929, 6999, 10583, 43225, 26458, 39774, 39263, 2662, 10606, 24828, 45820 ]	Validation
33,415	8	Title: Tutorial-Cum-Survey on Semantic and Goal- Oriented Communication: Research Landscape, Challenges, and Future Directions Abstract: SemCom and goal-oriented SemCom are designed to transmit only semantically-relevant information and hence help to minimize power usage, bandwidth consumption, and transmission delay. ...	[]	Test
33,416	26	Title: Strategic Communication and Deliberation on Climate Change of different Actor Groups using Twitter Abstract: Strategic communication in Twitter is compared between different actor groups with regard to the topic of climate change. The main hypothesis is that different actor groups will be more or less central in...	[]	Validation
33,417	24	Title: Collaborating with language models for embodied reasoning Abstract: Reasoning in a complex and ambiguous environment is a key goal for Reinforcement Learning (RL) agents. While some sophisticated RL agents can successfully solve difficult tasks, they require a large amount of training data and often struggle to ...	[ 7936, 21893, 33477, 34105, 10344, 5484, 7470, 2578, 11476, 2549, 25558, 13816, 1401 ]	Test
33,418	31	Title: Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data Abstract: This paper presents Structure Aware Dense Retrieval (SANTA) model, which encodes user queries and structured data in one universal embedding space for retrieving structured data. SANTA proposes two pretraining method...	[]	Train
33,419	38	Title: Measuring open access publications: a novel normalized open access indicator Abstract: nan	[]	Train
33,420	28	Title: Nonlinear Probabilistic Constellation Shaping with Sequence Selection Abstract: Probabilistic shaping is a pragmatic approach to improve the performance of coherent optical fiber communication systems. In the nonlinear regime, the advantages offered by probabilistic shaping might increase thanks to the opportuni...	[]	Test
33,421	24	Title: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion Abstract: Identifying important nodes with strong propagation capabilities in road networks is a significant topic in the field of urban planning. However, existing methods for evaluating nodes importance consider only topologi...	[]	Test
33,422	16	Title: MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts Abstract: Monocular 3D object detection reveals an economical but challenging task in autonomous driving. Recently center-based monocular methods have developed rapidly with a great trade-off between speed and accuracy, where they usually depend...	[ 42191 ]	Validation
33,423	16	Title: Volume Feature Rendering for Fast Neural Radiance Field Reconstruction Abstract: Neural radiance fields (NeRFs) are able to synthesize realistic novel views from multi-view images captured from distinct positions and perspectives. In NeRF's rendering pipeline, neural networks are used to represent a scene indepe...	[ 18632, 27795, 9599, 3607 ]	Train
33,424	31	Title: Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search Abstract: Search query classification, as an effective way to understand user intents, is of great importance in real-world online ads systems. To ensure a lower latency, a shallow model (e.g. FastText) is widely used f...	[]	Train
33,425	16	Title: Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Abstract: Equivariance has gained strong interest as a desirable network property that inherently ensures robust generalization. However, when dealing with complex systems such as articulated objects or multi-object scene...	[ 34448, 6716, 35541, 18486 ]	Train
33,426	16	Title: Combining Blockchain and Biometrics: A Survey on Technical Aspects and a First Legal Analysis Abstract: Biometric recognition as a unique, hard-to-forge, and efficient way of identification and verification has become an indispensable part of the current digital world. The fast evolution of this technology has b...	[ 13492 ]	Train
33,427	33	Title: A strongly universal cellular automaton on the heptagrif with six states Abstract: In this paper, we prove that there is a strongly universal cellular automaton on the heptagrid with six states which is rotation invariant. This improves a previous paper of the author with 7 states. Here, the structures are modif...	[ 32841 ]	Validation
33,428	26	Title: Video Recommendation Using Social Network Analysis and User Viewing Patterns Abstract: With the meteoric rise of video-on-demand (VOD) platforms, users face the challenge of sifting through an expansive sea of content to uncover shows that closely match their preferences. To address this information overload dil...	[ 5851, 26053 ]	Train
33,429	30	Title: Controllable Ancient Chinese Lyrics Generation Based on Phrase Prototype Retrieving Abstract: Generating lyrics and poems is one of the essential downstream tasks in the Natural Language Processing (NLP) field. Current methods have performed well in some lyrics generation scenarios but need further improvements ...	[]	Train
33,430	24	Title: Privacy-Preserving Taxi-Demand Prediction Using Federated Learning Abstract: Taxi-demand prediction is an important application of machine learning that enables taxi-providing facilities to optimize their operations and city planners to improve transportation infrastructure and services. However, the use of sens...	[ 12494, 4430 ]	Test
33,431	30	Title: Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension Abstract: Although deep learning techniques have shown significant achievements, they frequently depend on extensive amounts of hand-labeled data and tend to perform inadequately in few-shot scenario...	[]	Train
33,432	23	Title: A model-driven approach for continuous performance engineering in microservice-based systems Abstract: nan	[ 4353, 19165, 44809, 29943 ]	Validation
33,433	25	Title: Ripple sparse self-attention for monaural speech enhancement Abstract: The use of Transformer represents a recent success in speech enhancement. However, as its core component, self-attention suffers from quadratic complexity, which is computationally prohibited for long speech recordings. Moreover, it allows ea...	[]	Validation
33,434	16	Title: S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification Abstract: Many point cloud classification methods are developed under the assumption that all point clouds in the dataset are well aligned with the canonical axes so that the 3D Cartesian point coordinates can be employed to learn features....	[ 13716, 34612 ]	Test
33,435	16	Title: Knowledge Combination to Learn Rotated Detection without Rotated Annotation Abstract: Rotated bounding boxes drastically reduce output ambiguity of elongated objects, making it superior to axis-aligned bounding boxes. Despite the effectiveness, rotated detectors are not widely employed. Annotating rotated boundi...	[ 4507 ]	Test
33,436	24	Title: The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Abstract: Knowing the learning dynamics of policy is significant to unveiling the mysteries of Reinforcement Learning (RL). It is especially crucial yet challenging to Deep RL, from which the re...	[ 1139 ]	Validation
33,437	3	Title: Economic Dynamics of Agents Abstract: Post-pandemic world has thrown up several challenges, such as, high inflation, low growth, high debt, collapse of economies, political instability, job losses, lowering of income in addition to damages caused natural disasters, more convincing attributed to climate change, a...	[]	Test
33,438	24	Title: Differentially Private Graph Neural Network with Importance-Grained Noise Adaption Abstract: Graph Neural Networks (GNNs) with differential privacy have been proposed to preserve graph privacy when nodes represent personal and sensitive information. However, the existing methods ignore that nodes with different ...	[]	Validation
33,439	24	Title: LEACE: Perfect linear concept erasure in closed form Abstract: Concept erasure aims to remove specified features from a representation. It can improve fairness (e.g. preventing a classifier from using gender or race) and interpretability (e.g. removing a concept to observe changes in model behavior). We introduc...	[ 28896, 45729, 13700, 9677, 22133, 26423, 7896, 45275, 29375 ]	Train
33,440	30	Title: PromptNER: Prompting For Named Entity Recognition Abstract: In a surprising turn, Large Language Models (LLMs) together with a growing arsenal of prompt-based heuristics now offer powerful off-the-shelf approaches providing few-shot solutions to myriad classic NLP problems. However, despite promising early resul...	[ 16527, 13185, 32457, 1639 ]	Train
33,441	16	Title: Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design Abstract: In volume rendering, transfer functions are used to classify structures of interest, and to assign optical properties such as color and opacity. They are commonly defined as 1D or 2D functions that map simple features to...	[ 4643, 16843 ]	Validation
33,442	6	Title: ScrollTimes: Tracing the Provenance of Paintings as a Window into History Abstract: Digital humanities research has flourished due to the diverse artifacts available in cultural heritage databases. However, over-reliance on a single artifact type can result in poor contextualization and a constrained understandi...	[ 33848 ]	Train
33,443	6	Title: Deepfake in the Metaverse: An Outlook Survey Abstract: We envision deepfake technologies, which synthesize realistic fake images and videos, will play an important role in the future metaverse. While enhancing users' immersion and experience with synthesized virtual characters and scenes, deepfake can cause seri...	[]	Validation
33,444	27	Title: A Soft Robotic Gripper with Active Palm for In-Hand Object Reorientation Abstract: The human hand has an inherent ability to manipulate and re-orientate objects without external assistance. As a consequence, we are able to operate tools and perform an array of actions using just one hand, without having to conti...	[]	Train
33,445	26	Title: Spectral cyclicality of networks Abstract: We introduce the spectral influence and spectral cyclicality based on the largest eigenvalue of a graph adjacency matrix, two novel concepts of centrality capturing diffusion and interdependence from a local and a global point of view respectively. We define a new clust...	[]	Train
33,446	2	Title: A proof complexity conjecture and the Incompleteness theorem Abstract: Given a sound first-order p-time theory $T$ capable of formalizing syntax of first-order logic we define a p-time function $g_T$ that stretches all inputs by one bit and we use its properties to show that $T$ must be incomplete. We leave it a...	[]	Train
33,447	23	Title: Team Composition in Software Engineering Education Abstract: One of the objectives of software engineering education is to make students to learn essential teamwork skills. This is done by having the students work in groups for course assignments. Student team composition plays a vital role in this, as it signif...	[]	Train
33,448	9	Title: On the Order of Power Series and the Sum of Square Roots Problem Abstract: This paper focuses on the study of the order of power series that are linear combinations of a given finite set of power series. The order of a formal power series, known as , is defined as the minimum exponent of x that has a non-zero co...	[]	Train
33,449	9	Title: Low-Degree Testing Over Grids Abstract: We study the question of local testability of low (constant) degree functions from a product domain $S_1 \times \dots \times {S}_n$ to a field $\mathbb{F}$, where ${S_i} \subseteq \mathbb{F}$ can be arbitrary constant sized sets. We show that this family is locally testabl...	[]	Test
33,450	8	Title: Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks Abstract: Predicting the behavior of real-time traffic (e.g., VoIP) in mobility scenarios could help the operators to better plan their network infrastructures and to optimize the allocation of resources. Accordingl...	[]	Validation
33,451	27	Title: Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic Abstract: Cooperation of automated vehicles (AVs) can improve safety, efficiency and comfort in traffic. Digital twins of Cooperative Intelligent Transport Systems (C-ITS) play an important role in monitoring, ma...	[]	Validation
33,452	24	Title: Policy Mirror Descent Inherently Explores Action Space Abstract: Explicit exploration in the action space was assumed to be indispensable for online policy gradient methods to avoid a drastic degradation in sample complexity, for solving general reinforcement learning problems over finite state and action spaces...	[]	Train
33,453	30	Title: An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation Abstract: Sign language translation systems are complex and require many components. As a result, it is very hard to compare methods across publications. We present an open-source implementation of a text-to-gloss-to-pose-to-video pipe...	[]	Train
33,454	34	Title: How to assign volunteers to tasks compatibly ? A graph theoretic and parameterized approach Abstract: In this paper we study a resource allocation problem that encodes correlation between items in terms of \conflict and maximizes the minimum utility of the agents under a conflict free allocation. Admittedly, the...	[]	Test
33,455	10	Title: LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Abstract: Large language models (LLMs) have demonstrated remarkable zero-shot generalization abilities: state-of-the-art chatbots can provide plausible answers to many common questions that arise in daily life. However, so far, LLMs cannot...	[ 34178, 22148, 13700, 19720, 22288, 402, 3347, 27669, 21782, 40602, 43298, 40610, 295, 29612, 40368, 9907, 41780, 10165, 15031, 5816, 12606, 38083, 14148, 33477, 35014, 34755, 39368, 8138, 35530, 41425, 5975, 1496, 29017, 19936, 28668, 10864, 25...	Train
33,456	3	Title: The Competitive Leverage Paradox Effect on Information Systems Life Cycle Abstract: The fierce market competition has put pressure on organizations leveraging their value chains. The continuous development in strategic technologies such as Artificial Intelligence (AI) has pushed organizations to continuously acq...	[]	Test
33,457	4	Title: Password-Based Authentication and The Experiences of End Users Abstract: nan	[]	Validation
33,458	16	Title: Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection Abstract: Image reconstruction-based anomaly detection has recently been in the spotlight because of the difficulty of constructing anomaly datasets. These approaches work by learning to model normal features without seeing ...	[]	Train
33,459	16	Title: SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images Abstract: Digital surface model generation using traditional multi-view stereo matching (MVS) performs poorly over non-Lambertian surfaces, with asynchronous acquisitions, or at discontinuities. Neural radiance fields (NeRF...	[]	Test
33,460	27	Title: Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning Abstract: In this paper, we propose to estimate the forward dynamics equations of mechanical systems by learning a model of the inverse dynamics and estimating individual dynamics components from it. We revisit the classical formulation of ri...	[ 13783 ]	Validation
33,461	30	Title: ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction Abstract: Large language models (LLMs), such as GPT-3 and ChatGPT, have demonstrated remarkable results in various natural language processing (NLP) tasks with in-context learning, which involves inference base...	[ 482, 43267, 10978, 11273, 32282, 43327 ]	Train
33,462	24	Title: Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables Abstract: In recent years, the community of 'explainable artificial intelligence' (XAI) has created a vast body of methods to bridge a perceived gap between model 'complexity' and 'interpretability'. However, a concrete problem to be sol...	[]	Validation
33,463	16	Title: Hard Nominal Example-aware Template Mutual Matching for Industrial Anomaly Detection Abstract: Anomaly detectors are widely used in industrial production to detect and localize unknown defects in query images. These detectors are trained on nominal images and have shown success in distinguishing anomalies from m...	[]	Test
33,464	30	Title: Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning Abstract: Table-based reasoning has shown remarkable progress in a wide range of table-based tasks. It is a challenging task, which requires reasoning over both free-form natural language (NL) questions ...	[ 22376, 969, 21610, 26091, 29180, 45577, 21780, 24053, 4438, 42165, 11612 ]	Test
33,465	4	Title: Committee Moderation on Encrypted Messaging Platforms Abstract: Encrypted messaging services like WhatsApp, Facebook Messenger, and Signal provide secure and deniable communication for billions across the world, but these exact properties prevent holding users accountable for sending messages that are abusive, m...	[]	Train
33,466	24	Title: Learning Subjective Time-Series Data via Utopia Label Distribution Approximation Abstract: Subjective time-series regression (STR) tasks have gained increasing attention recently. However, most existing methods overlook the label distribution bias in STR data, which results in biased models. Emerging studies on ...	[]	Test
33,467	10	Title: Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare Abstract: Large events such as conferences, concerts and sports games, often cause surges in demand for ride services that are not captured in average demand patterns, posing unique challenges for routing algorithms. We prop...	[]	Test
33,468	3	Title: Pitfalls in Effective Knowledge Management: Insights from an International Information Technology Organization Abstract: Knowledge is considered an essential resource for organizations. For organizations to benefit from their possessed knowledge, knowledge needs to be managed effectively. Despite knowledge shari...	[]	Train
33,469	24	Title: Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training Abstract: Deep learning models undergo a significant increase in the number of parameters they possess, leading to the execution of a larger number of operations during inference. This expansion significantly contributes to higher ene...	[]	Train
33,470	30	Title: Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health Abstract: Amid ongoing health crisis, there is a growing necessity to discern possible signs of Wellness Dimensions (WD) manifested in self-narrated text. As the distribution of WD on social media data is intrinsically imbalanced, w...	[ 33671 ]	Train
33,471	10	Title: Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs Abstract: Knowledge graphs (KGs) have become the standard technology for the representation of factual information in applications such as recommendation engines, search, and question-answering systems. However, the continual updating of KGs, ...	[]	Validation
33,472	36	Title: Anonymous and Copy-Robust Delegations for Liquid Democracy Abstract: Liquid democracy with ranked delegations is a novel voting scheme that unites the practicability of representative democracy with the idealistic appeal of direct democracy: Every voter decides between casting their vote on a question at hand or...	[]	Train
33,473	24	Title: Reducing Communication for Split Learning by Randomized Top-k Sparsification Abstract: Split learning is a simple solution for Vertical Federated Learning (VFL), which has drawn substantial attention in both research and application due to its simplicity and efficiency. However, communication efficiency is still...	[ 30337 ]	Train
33,474	3	Title: Deconstructing Student Perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument Abstract: This study examines the relationship between student perceptions and their intention to use generative AI in higher education. Drawing on Expectancy-Value Theory (EVT), a questionnaire ...	[ 37491, 8300 ]	Train
33,475	28	Title: On the physical layer security capabilities of reconfigurable intelligent surface empowered wireless systems Abstract: In this paper, we investigate the physical layer security capabilities of reconfigurable intelligent surface (RIS) empowered wireless systems. In more detail, we consider a general system model,...	[]	Train
33,476	16	Title: Semi-supervised Object Detection: A Survey on Recent Research and Progress Abstract: In recent years, deep learning technology has been maturely applied in the field of object detection, and most algorithms tend to be supervised learning. However, a large amount of labeled data requires high costs of human resou...	[]	Train
33,477	10	Title: A Survey on Large Language Model based Autonomous Agents Abstract: Autonomous agents have long been a prominent research focus in both academic and industry communities. Previous research in this field often focuses on training agents with limited knowledge within isolated environments, which diverges significan...	[ 27138, 20995, 40453, 31238, 16912, 19472, 27669, 43029, 18459, 8225, 9252, 19492, 21541, 16429, 26673, 26162, 28217, 35388, 33853, 2622, 4674, 14920, 31817, 13905, 18007, 40036, 111, 43641, 634, 44162, 33417, 147, 3219, 6805, 10900, 30364, 4060...	Train

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