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
33,778	4	Title: An Improved Christofides Mechanism for Local Differential Privacy Framework Abstract: The development of Internet technology enables an analysis on the whole population rather than a certain number of samples, and leads to increasing requirement for privacy protection. Local differential privacy (LDP) is an effe...	[]	Train
33,779	30	Title: Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance Abstract: ChatGPT and GPT-4 have attracted substantial interest from both academic and industrial circles, owing to their remarkable few-shot (or even zero-shot) ability to handle various tasks. Recent work s...	[ 2336, 12128, 13345, 21921, 13700, 33220, 35556, 30221, 1326, 18384, 11217, 31218, 31189, 16598 ]	Validation
33,780	24	Title: The Sample Complexity of Multi-Distribution Learning for VC Classes Abstract: Multi-distribution learning is a natural generalization of PAC learning to settings with multiple data distributions. There remains a significant gap between the known upper and lower bounds for PAC-learnable classes. In particular, th...	[]	Test
33,781	8	Title: Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations Abstract: To cope with the explosive bandwidth demand, significant progress has been made in the ITU-T standardization sector to define a higher-speed passive optical network (PON) with a 50Gb/s line rate. Recently, 50G PON becomes m...	[]	Train
33,782	16	Title: The effectiveness of MAE pre-pretraining for billion-scale pretraining Abstract: This paper revisits the standard pretrain-then-finetune paradigm used in computer vision for visual recognition tasks. Typically, state-of-the-art foundation models are pretrained using large scale (weakly) supervised datasets with ...	[ 3910, 16843, 35757, 28782, 4664, 36828, 7743 ]	Validation
33,783	8	Title: Analyzing Transatlantic Network Traffic over Scientific Data Caches Abstract: Large scientific collaborations often share huge volumes of data around the world. Consequently a significant amount of network bandwidth is needed for data replication and data access. Users in the same region may possibly share resou...	[ 29816 ]	Validation
33,784	4	Title: Towards a Unified Cybersecurity Testing Lab for Satellite, Aerospace, Avionics, Maritime, Drone (SAAMD) technologies and communications Abstract: Aviation, maritime, and aerospace traffic control, radar, communication, and software technologies received increasing attention in the research literature over the pa...	[ 20850, 44493 ]	Train
33,785	30	Title: Transfer-Free Data-Efficient Multilingual Slot Labeling Abstract: Slot labeling (SL) is a core component of task-oriented dialogue (ToD) systems, where slots and corresponding values are usually language-, task- and domain-specific. Therefore, extending the system to any new language-domain-task configuration re...	[]	Train
33,786	20	Title: Collision Detection for Modular Robots - it is easy to cause collisions and hard to avoid them Abstract: We consider geometric collision-detection problems for modular reconfigurable robots. Assuming the nodes (modules) are connected squares on a grid, we investigate the complexity of deciding whether collisions...	[ 18323 ]	Train
33,787	10	Title: Neural Airport Ground Handling Abstract: Airport ground handling (AGH) offers necessary operations to flights during their turnarounds and is of great importance to the efficiency of airport management and the economics of aviation. Such a problem involves the interplay among the operations that leads to NP-hard...	[ 136, 41407 ]	Train
33,788	24	Title: Complexity Matters: Rethinking the Latent Space for Generative Modeling Abstract: In generative modeling, numerous successful approaches leverage a low-dimensional latent space, e.g., Stable Diffusion models the latent space induced by an encoder and generates images through a paired decoder. Although the select...	[]	Train
33,789	24	Title: Federated Compositional Deep AUC Maximization Abstract: Federated learning has attracted increasing attention due to the promise of balancing privacy and large-scale learning; numerous approaches have been proposed. However, most existing approaches focus on problems with balanced data, and prediction performanc...	[ 45676, 2909 ]	Train
33,790	23	Title: Finding Performance Issues in Database Engines via Cardinality Estimation Testing Abstract: Database Management Systems (DBMSs) process a given query by creating an execution plan, which is subsequently executed, to compute the query's result. Deriving an efficient query plan is challenging, and both academia an...	[]	Test
33,791	30	Title: BeamAttack: Generating High-quality Textual Adversarial Examples through Beam Search and Mixed Semantic Spaces Abstract: Natural language processing models based on neural networks are vulnerable to adversarial examples. These adversarial examples are imperceptible to human readers but can mislead models to make...	[ 31476 ]	Train
33,792	27	Title: MAVIS: Multi-Camera Augmented Visual-Inertial SLAM using SE2(3) Based Exact IMU Pre-integration Abstract: We present a novel optimization-based Visual-Inertial SLAM system designed for multiple partially overlapped camera systems, named MAVIS. Our framework fully exploits the benefits of wide field-of-view from ...	[ 43181 ]	Train
33,793	24	Title: A Note on Noisy Reservoir Computation Abstract: In this note we extend the definition of the Information Processing Capacity (IPC) by Dambre et al Dambre et al.(Scientific Reports} 2, 514, (2012)) to include the effects of stochastic reservoir dynamics. We quantify the degradation of the IPC in the presence of t...	[ 45762 ]	Test
33,794	16	Title: PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods Abstract: A common approach to solve inverse imaging problems relies on finding a maximum a posteriori (MAP) estimate of the original unknown image, by solving a minimization problem. In thiscontext, iterative pro...	[]	Train
33,795	10	Title: Non-zero-sum Game Control for Multi-vehicle Driving via Reinforcement Learning Abstract: When a vehicle drives on the road, its behaviors will be affected by surrounding vehicles. Prediction and decision should not be considered as two separate stages because all vehicles make decisions interactively. This paper...	[]	Test
33,796	24	Title: Efficient Online Decision Tree Learning with Active Feature Acquisition Abstract: Constructing decision trees online is a classical machine learning problem. Existing works often assume that features are readily available for each incoming data point. However, in many real world applications, both feature values...	[]	Validation
33,797	24	Title: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting Abstract: There is a recent surge in the development of spatio-temporal forecasting models in the transportation domain. Long-range traffic forecasting, however, remains a challenging task due to the intricate and extensive spatio-temp...	[ 36314 ]	Train
33,798	16	Title: Temporal Collection and Distribution for Referring Video Object Segmentation Abstract: Referring video object segmentation aims to segment a referent throughout a video sequence according to a natural language expression. It requires aligning the natural language expression with the objects' motions and their dy...	[ 46059 ]	Train
33,799	16	Title: Neural Fine-Tuning Search for Few-Shot Learning Abstract: In few-shot recognition, a classifier that has been trained on one set of classes is required to rapidly adapt and generalize to a disjoint, novel set of classes. To that end, recent studies have shown the efficacy of fine-tuning with carefully crafted ad...	[ 46134, 42263 ]	Test
33,800	31	Title: Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems Abstract: The emergence of Pre-trained Language Models (PLMs) has achieved tremendous success in the field of Natural Language Processing (NLP) by learning universal representations on l...	[ 36991, 22465, 4610, 40453, 31771, 24141, 20432, 27281, 43698, 30131, 10069, 32661, 2551, 34719, 3643, 6428, 9917, 21695 ]	Test
33,801	36	Title: VISER: A Tractable Solution Concept for Games with Information Asymmetry Abstract: Many real-world games suffer from information asymmetry: one player is only aware of their own payoffs while the other player has the full game information. Examples include the critical domain of security games and adversarial mu...	[]	Validation
33,802	24	Title: Mitigating Group Bias in Federated Learning: Beyond Local Fairness Abstract: The issue of group fairness in machine learning models, where certain sub-populations or groups are favored over others, has been recognized for some time. While many mitigation strategies have been proposed in centralized learning, man...	[]	Train
33,803	23	Title: Suggestion Bot: Analyzing the Impact of Automated Suggested Changes on Code Reviews Abstract: Peer code reviews are crucial for maintaining the quality of the code in software repositories. Developers have introduced a number of software bots to help with the code review process. Despite the benefits of automati...	[]	Train
33,804	24	Title: Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation Abstract: Generative Adversarial Networks (GAN) have emerged as a formidable AI tool to generate realistic outputs based on training datasets. However, the challenge of exerting control over...	[ 16159 ]	Train
33,805	16	Title: Bias mitigation techniques in image classification: fair machine learning in human heritage collections Abstract: A major problem with using automated classification systems is that if they are not engineered correctly and with fairness considerations, they could be detrimental to certain populations. Furthermor...	[]	Validation
33,806	30	Title: INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation Abstract: We introduce a method that dramatically reduces fine-tuning VRAM requirements and rectifies quantization errors in quantized Large Language Models. First, we develop an extremely memory-effici...	[ 13700, 15952, 27282, 24308, 37438 ]	Train
33,807	28	Title: A Proof of a Conjecture About a Class of Near Maximum Distance Separable Codes Abstract: In this paper, we completely determine the number of solutions to $ \operatorname{Tr}^{q^2}_q(bx+b)+c=0, x\in \mu_{q+1}\backslash \{-1\}$ for all $b\in \mathbb{F}_{q^2}, c\in\mathbb{F}_{q}$. As an application, we can give th...	[]	Train
33,808	30	Title: USA: Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset Abstract: Sentiment analysis is a pivotal task in the domain of natural language processing. It encompasses both text-level sentiment polarity classification and word-level Part of Speech(P...	[ 6328, 11024, 20141, 22670 ]	Train
33,809	30	Title: Scaling Laws for Generative Mixed-Modal Language Models Abstract: Generative language models define distributions over sequences of tokens that can represent essentially any combination of data modalities (e.g., any permutation of image tokens from VQ-VAEs, speech tokens from HuBERT, BPE tokens for language or c...	[ 12229, 4166, 458, 16682, 34956, 17118, 16911, 22334, 32542, 17138, 12827, 3963, 30044, 11262 ]	Train
33,810	24	Title: On Second-Order Scoring Rules for Epistemic Uncertainty Quantification Abstract: It is well known that accurate probabilistic predictors can be trained through empirical risk minimisation with proper scoring rules as loss functions. While such learners capture so-called aleatoric uncertainty of predictions, vari...	[ 40929, 6483 ]	Train
33,811	13	Title: ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware Abstract: Neuromorphic perception with event-based sensors, asynchronous hardware and spiking neurons is showing promising results for real-time and energy-efficient inference in embedded systems. The next promise of b...	[ 45372 ]	Train
33,812	31	Title: Improving Recommendation System Serendipity Through Lexicase Selection Abstract: Recommender systems influence almost every aspect of our digital lives. Unfortunately, in striving to give us what we want, they end up restricting our open-mindedness. Current recommender systems promote echo chambers, where people...	[ 12818 ]	Train
33,813	16	Title: End-to-End Supervised Multilabel Contrastive Learning Abstract: Multilabel representation learning is recognized as a challenging problem that can be associated with either label dependencies between object categories or data-related issues such as the inherent imbalance of positive/negative samples. Recent adva...	[]	Train
33,814	24	Title: ChiroDiff: Modelling chirographic data with Diffusion Models Abstract: Generative modelling over continuous-time geometric constructs, a.k.a such as handwriting, sketches, drawings etc., have been accomplished through autoregressive distributions. Such strictly-ordered discrete factorization however falls short ...	[]	Test
33,815	30	Title: ARB: Advanced Reasoning Benchmark for Large Language Models Abstract: Large Language Models (LLMs) have demonstrated remarkable performance on various quantitative reasoning and knowledge benchmarks. However, many of these benchmarks are losing utility as LLMs get increasingly high scores, despite not yet reachi...	[ 38208, 40610, 31012, 17061, 13510, 2475, 22444, 23866, 26357, 36149, 39451, 12602, 32859, 5503 ]	Train
33,816	27	Title: ViNT: A Foundation Model for Visual Navigation Abstract: General-purpose pre-trained models ("foundation models") have enabled practitioners to produce generalizable solutions for individual machine learning problems with datasets that are significantly smaller than those required for learning from scratch. Such...	[ 39368, 16050, 39355, 13564 ]	Train
33,817	30	Title: Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph Abstract: Large language models (LLMs) have made significant strides in various tasks, yet they often struggle with complex reasoning and exhibit poor performance in scenarios where knowledge traceability, timeliness, and...	[ 10502, 22289, 29714, 27669, 31264, 40610, 32552, 39602, 1333, 7125, 32987, 11612, 15325, 17248, 31215, 43641, 10363, 23805, 639 ]	Train
33,818	30	Title: Multi-Path Transformer is Better: A Case Study on Neural Machine Translation Abstract: For years the model performance in machine learning obeyed a power-law relationship with the model size. For the consideration of parameter efficiency, recent studies focus on increasing model depth rather than width to achiev...	[]	Train
33,819	6	Title: ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition Abstract: Deep learning-based human activity recognition (HAR) methods have shown great promise in the applications of smart healthcare systems and wireless body sensor network (BSN). Despite their...	[]	Train
33,820	16	Title: Mega-cities dominate China's urban greening Abstract: Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being. China has initiated a range of urban greening policies over the past decades, however, monitoring their impact on urban...	[]	Validation
33,821	24	Title: Active and Passive Causal Inference Learning Abstract: This paper serves as a starting point for machine learning researchers, engineers and students who are interested in but not yet familiar with causal inference. We start by laying out an important set of assumptions that are collectively needed for causal id...	[]	Train
33,822	24	Title: A topological classifier to characterize brain states: When shape matters more than variance Abstract: Despite the remarkable accuracies attained by machine learning classifiers to separate complex datasets in a supervised fashion, most of their operation falls short to provide an informed intuition about the st...	[ 19783 ]	Train
33,823	24	Title: Change is Hard: A Closer Look at Subpopulation Shift Abstract: Machine learning models often perform poorly on subgroups that are underrepresented in the training data. Yet, little is understood on the variation in mechanisms that cause subpopulation shifts, and how algorithms generalize across such diverse shif...	[ 4104, 29603, 5764, 29888 ]	Train
33,824	24	Title: Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks Abstract: The analysis of distributed techniques is often focused upon their efficiency, without considering their robustness (or lack thereof). Such a consideration is particularly important when devices or central servers can fail...	[]	Validation
33,825	16	Title: LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement Abstract: Current deep learning methods for low-light image enhancement (LLIE) typically rely on pixel-wise mapping learned from paired data. However, these methods often overlook the importance of considering d...	[]	Train
33,826	24	Title: GENIE-NF-AI: Identifying Neurofibromatosis Tumors using Liquid Neural Network (LTC) trained on AACR GENIE Datasets Abstract: In recent years, the field of medicine has been increasingly adopting artificial intelligence (AI) technologies to provide faster and more accurate disease detection, prediction, and asses...	[]	Train
33,827	24	Title: Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Abstract: The future of machine learning lies in moving data collection along with training to the edge. Federated Learning, for short FL, has been recently proposed to achieve this goal. The principle of this approach is to aggregate models ...	[]	Test
33,828	30	Title: Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition Abstract: Exploiting cross-lingual resources is an effective way to compensate for data scarcity of low resource languages. Recently, a novel multilingual model fusion technique has been proposed where a model is tra...	[]	Train
33,829	24	Title: Optimal transfer protocol by incremental layer defrosting Abstract: Transfer learning is a powerful tool enabling model training with limited amounts of data. This technique is particularly useful in real-world problems where data availability is often a serious limitation. The simplest transfer learning protoco...	[]	Train
33,830	30	Title: Several categories of Large Language Models (LLMs): A Short Survey Abstract: Abstract: Large Language Models (LLMs) have become effective tools for natural language process-ing and have been used in many different fields. This essay offers a succinct summary of various LLM subcategories. The survey emphasizes re...	[ 14592, 13345, 40192, 2980, 27111, 4558, 41104, 24308, 36149, 23898 ]	Test
33,831	24	Title: Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization Abstract: Despite extensive studies, the underlying reason as to why overparameterized neural networks can generalize remains elusive. Existing theory shows that common stochastic optimizers prefer flatter minimizer...	[ 24346, 19853, 29794 ]	Validation
33,832	16	Title: Extracting Class Activation Maps from Non-Discriminative Features as well Abstract: Extracting class activation maps (CAM) from a classification model often results in poor coverage on foreground objects, i.e., only the discriminative region (e.g., the “head” of “sheep”) is recognized and the rest (e.g., the “le...	[ 36393, 41417 ]	Train
33,833	30	Title: WikiBio: a Semantic Resource for the Intersectional Analysis of Biographical Events Abstract: Biographical event detection is a relevant task that allows for the exploration and comparison of the ways in which people’s lives are told and represented. This may support several real-life applications in digital hum...	[]	Train
33,834	16	Title: SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection Abstract: Among the current mainstream change detection networks, transformer is deficient in the ability to capture accurate low-level details, while convolutional neural network (CNN) is wanting in t...	[]	Train
33,835	30	Title: No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference Abstract: Natural Language Inference (NLI) has been a cornerstone task in evaluating language models’ inferential reasoning capabilities. However, the standard three-way classification scheme used in NLI has well-...	[]	Train
33,836	30	Title: LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain Abstract: Lately, propelled by the phenomenal advances around the transformer architecture, the legal NLP field has enjoyed spectacular growth. To measure progress, well curated and challenging benchmarks are crucial. However, most benchmark...	[ 25953, 26282, 20715, 26922, 22547, 30323, 7861 ]	Test
33,837	16	Title: AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes Abstract: Multi-object tracking (MOT) is a fundamental problem in computer vision with numerous applications, such as intelligent surveillance and automated driving. Despite the significant progress made in MOT, pedestrian ...	[]	Validation
33,838	36	Title: A Stackelberg Viral Marketing Design for Two Competing Players Abstract: A Stackelberg duopoly model in which two firms compete to maximize their market share is considered. The firms offer a service/product to customers that are spread over several geographical regions (e.g., countries, provinces, or states). E...	[]	Train
33,839	24	Title: Machine Learning with Requirements: a Manifesto Abstract: In the recent years, machine learning has made great advancements that have been at the root of many breakthroughs in different application domains. However, it is still an open issue how make them applicable to high-stakes or safety-critical application ...	[]	Train
33,840	28	Title: Reliability-Latency-Rate Tradeoff in Low-Latency Communications with Finite-Blocklength Coding Abstract: Low-latency communication plays an increasingly important role in delay-sensitive applications by ensuring the real-time exchange of information. However, due to the constraints on the maximum instantaneous p...	[]	Train
33,841	27	Title: Swing Leg Motion Strategy for Heavy-load Legged Robot Based on Force Sensing Abstract: The heavy-load legged robot has strong load carrying capacity and can adapt to various unstructured terrains. But the large weight results in higher requirements for motion stability and environmental perception ability. In or...	[]	Validation
33,842	4	Title: CoVE: Towards Confidential Computing on RISC-V Platforms Abstract: Multi-tenant computing platforms are typically comprised of several software and hardware components including platform firmware, operating system, virtualization monitor, and tenant workloads (typically in a virtual machine, container, or applic...	[]	Test
33,843	33	Title: Positive Data Languages Abstract: Positive data languages are languages over an infinite alphabet closed under possibly non-injective renamings of data values. Informally, they model properties of data words expressible by assertions about equality, but not inequality, of data values occurring in the word. We in...	[]	Test
33,844	24	Title: The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing Abstract: We propose $\textsf{ScaledGD($\lambda$)}$, a preconditioned gradient descent method to tackle the low-rank matrix sensing problem when the true rank is unknown, and when the matrix is possibly ill-conditioned. Using overparametri...	[ 10395, 45852 ]	Train
33,845	16	Title: One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization Abstract: Single image 3D reconstruction is an important but challenging task that requires extensive knowledge of our natural world. Many existing methods solve this problem by optimizing a neural radiance field under the guida...	[ 32384, 5539, 17029, 30566, 680, 3912, 42666, 34074, 24922, 16562, 22163, 17238, 11959, 33977, 14842, 34167 ]	Test
33,846	28	Title: Dimensions of some LCD BCH codes Abstract: In this paper, we investigate the first few largest coset leaders modulo $\frac{q^m+1}{\lambda}$ where $\lambda\mid q+1$ and $q$ is an odd prime power, and give the dimensions of some LCD BCH codes of length $\frac{q^m+1}{\lambda}$ with large designed distances.We also ...	[ 33585 ]	Train
33,847	25	Title: ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation Abstract: There are significant challenges for speaker adaptation in text-to-speech for languages that are not widely spoken or for speakers with accents or dialects that are not well-represented in the training data. To ad...	[ 17588, 12775 ]	Validation
33,848	10	Title: PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation Abstract: Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for desired imag...	[ 39233, 33442, 43427, 15482, 30795, 34074, 30771, 40915, 15258 ]	Test
33,849	24	Title: Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction Abstract: The Complementarity Determining Region (CDR) structure prediction of loops in antibody engineering has gained a lot of attraction by researchers. When designing antibodies, a main challenge is to predict the CDR structure of ...	[]	Train
33,850	4	Title: SYSPART: Automated Temporal System Call Filtering for Binaries Abstract: Restricting the system calls available to applications reduces the attack surface of the kernel and limits the functionality available to compromised applications. Recent approaches automatically identify the system calls required by progra...	[]	Train
33,851	24	Title: Invariant Representations of Embedded Simplicial Complexes Abstract: Analyzing embedded simplicial complexes, such as triangular meshes and graphs, is an important problem in many fields. We propose a new approach for analyzing embedded simplicial complexes in a subdivision-invariant and isometry-invariant way u...	[]	Validation
33,852	5	Title: A Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing Abstract: The In-Network Computing (COIN) paradigm is a promising solution that leverages unused network resources to perform some tasks to meet up with computation-demanding applications, such as metaverse. In this vein, we consi...	[]	Train
33,853	16	Title: ViperGPT: Visual Inference via Python Execution for Reasoning Abstract: Answering visual queries is a complex task that requires both visual processing and reasoning. End-to-end models, the dominant approach for this task, do not explicitly differentiate between the two, limiting interpretability and generalizat...	[ 10624, 8838, 25226, 1419, 26380, 26635, 41104, 10897, 8084, 8340, 21782, 38167, 21786, 28827, 17564, 12957, 32286, 2211, 8612, 30243, 17958, 35495, 27434, 45362, 6963, 15413, 1854, 40510, 25155, 19013, 33477, 35014, 38857, 35786, 7633, 36689, 1...	Validation
33,854	16	Title: Prompting Language-Informed Distribution for Compositional Zero-Shot Learning Abstract: The compositional zero-shot learning (CZSL) task aims to recognize unseen compositional visual concepts (i.e., sliced tomatoes), where the models are learned only from the seen compositions (i.e., sliced potatoes and red toma...	[ 18480, 29728, 21718 ]	Validation
33,855	14	Title: On real and observable realizations of input-output equations Abstract: Given a single algebraic input-output equation, we present a method for finding different representations of the associated system in the form of rational realizations; these are dynamical systems with rational right-hand sides. It has been ...	[]	Validation
33,856	6	Title: The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts Abstract: Data visualizations present a massive number of potential messages to an observer. One might notice that one group's average is larger than another's, or that a difference in values is smalle...	[]	Train
33,857	6	Title: The AI Ghostwriter Effect: Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors Abstract: Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30&n2 = 96), we investigate authorship and ownership in human-AI collaboration for perso...	[]	Train
33,858	31	Title: Modeling Sequential Recommendation as Missing Information Imputation Abstract: Side information is being used extensively to improve the effectiveness of sequential recommendation models. It is said to help capture the transition patterns among items. Most previous work on sequential recommendation that uses sid...	[]	Validation
33,859	24	Title: MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators Abstract: With the research advancement of Artificial Intelligence in the last years, there are new opportunities to mitigate real-world problems and advance technologically. Image recognition models in particular, are assig...	[]	Validation
33,860	16	Title: DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs Abstract: Close-up facial images captured at short distances often suffer from perspective distortion, resulting in exaggerated facial features and unnatural/unattractive appearances. We propose a simple yet effective method for correcting pers...	[ 4304 ]	Validation
33,861	24	Title: Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes Abstract: Flamelet models are widely used in computational fluid dynamics to simulate thermochemical processes in turbulent combustion. These models typically employ memory-expensive looku...	[]	Test
33,862	24	Title: On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense Abstract: Under adversarial attacks, time series regression and classiﬁcation are vulnerable. Adversarial defense, on the other hand, can make the models more resilient. It is important to evaluate how vulnerable di...	[ 19243 ]	Train
33,863	26	Title: Polarized Speech on Online Platforms Abstract: While political polarization has increased as measured through surveys, currently we lack comprehensive, longitudinal, and ecologically valid measurement of the polarization of online political speech that spans social media platforms. Using language models, we anal...	[]	Train
33,864	5	Title: An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training Abstract: Recently, graph neural networks (GNNs) have gained much attention as a growing area of deep learning capable of learning on graph-structured data. However, the computational and memory requirements for t...	[ 23857, 11091 ]	Train
33,865	28	Title: New entanglement-assisted quantum codes from negacyclic codes Abstract: The theory of entanglement-assisted quantum error-correcting codes (EAQECCs) is a generalization of the standard stabilizer quantum error-correcting codes, which can be possibly constructed from any classical codes by relaxing the duality co...	[]	Test
33,866	30	Title: Large Language Models are Strong Zero-Shot Retriever Abstract: In this work, we propose a simple method that applies a large language model (LLM) to large-scale retrieval in zero-shot scenarios. Our method, the Language language model as Retriever (LameR), is built upon no other neural models but an LLM, while b...	[ 67, 13700, 397, 38391, 7866, 15004, 11453 ]	Train
33,867	26	Title: An analysis of the technology acceptance model in understanding university students behavioral intention to use metaverse technologies Abstract: Metaverse can be applied in several aspects of life such as the Economy, finance, social life, working environment, healthcare, real estate, and education. In the last ...	[]	Train
33,868	5	Title: Generative Artificial Intelligence Consensus in a Trustless Network Abstract: We performed a billion locality sensitive hash comparisons between artificially generated data samples to answer the critical question - can we verify the"correctness"of generative AI output in a non-deterministic, trustless, decentral...	[ 14592 ]	Validation
33,869	3	Title: Othered, Silenced and Scapegoated: Understanding the Situated Security of Marginalised Populations in Lebanon Abstract: In this paper we explore the digital security experiences of marginalised populations in Lebanon such as LGBTQI+ identifying people, refugees and women. We situate our work in the post-conflict...	[]	Validation
33,870	16	Title: Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly Detection Abstract: Weakly supervised video anomaly detection (WS-VAD) is a challenging problem that aims to learn VAD models only with video-level annotations. In this work, we propose a Long-Short Temporal Co-teaching (LSTC) method to address ...	[ 14067 ]	Train
33,871	5	Title: Breaking On-device Training Memory Wall: A Systematic Survey Abstract: On-device training has become an increasingly popular approach to machine learning, enabling models to be trained directly on mobile and edge devices. However, a major challenge in this area is the limited memory available on these devices, w...	[ 27696 ]	Train
33,872	28	Title: Multi-User Modular XL-MIMO Communications: Near-Field Beam Focusing Pattern and User Grouping Abstract: In this paper, we investigate multi-user modular extremely large-scale multiple-input multiple-output (XL-MIMO) communication systems, where modular extremely large-scale uniform linear array (XL-ULA) is deplo...	[ 20570, 37676 ]	Train
33,873	31	Title: Recommender Systems for Online and Mobile Social Networks: A survey Abstract: nan	[ 42723, 14759 ]	Train
33,874	24	Title: Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization Abstract: Building accurate and interpretable Machine Learning (ML) models for heterogeneous/mixed data is a long-standing challenge for algorithms designed for numeric data. This work focuses on developing numeric coding sch...	[]	Train
33,875	16	Title: Neural Semantic Surface Maps Abstract: We present an automated technique for computing a map between two genus-zero shapes, which matches semantically corresponding regions to one another. Lack of annotated data prohibits direct inference of 3D semantic priors; instead, current State-of-the-art methods predomina...	[ 10624, 4643, 18447, 17046, 3447 ]	Train
33,876	30	Title: Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results Abstract: In this paper we present the multilingual language model BLOOM-zh that features enhanced support for Traditional Chinese. BLOOM-zh has its origins in the open-source BLOOM models presented by Bi...	[ 23898 ]	Train
33,877	16	Title: Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification Abstract: Following the popularity of Unsupervised Domain Adaptation (UDA) in person re-identification, the recently proposed setting of Online Unsupervised Domain Adaptation (OUDA) attempts to bridge the gap towards practica...	[]	Train

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