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
45,378	37	Title: Building a Serverless Data Lakehouse from Spare Parts Abstract: The recently proposed Data Lakehouse architecture is built on open file formats, performance, and first-class support for data transformation, BI and data science: while the vision stresses the importance of lowering the barrier for data work, exist...	[ 24482 ]	Train
45,379	24	Title: GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Abstract: Federated Learning (FL) is popular for its privacy-preserving and collaborative learning capabilities. Recently, personalized FL (pFL) has received attention for its ability to address statisti...	[ 8505, 21484 ]	Train
45,380	24	Title: Electricity Demand Forecasting through Natural Language Processing with Long Short-Term Memory Networks Abstract: Electricity demand forecasting is a well established research field. Usually this task is performed considering historical loads, weather forecasts, calendar information and known major events. Recen...	[ 2156 ]	Train
45,381	30	Title: Adaptive loose optimization for robust question answering Abstract: Question answering methods are well-known for leveraging data bias, such as the language prior in visual question answering and the position bias in machine reading comprehension (extractive question answering). Current debiasing methods often c...	[]	Validation
45,382	24	Title: Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors Abstract: This paper investigates the energy savings that near-subthreshold processors can obtain in edge AI applications and proposes strategies to improve them while maintaining the accuracy of the application. The selected processor...	[]	Train
45,383	20	Title: Using SAT to study plane Hamiltonian substructures in simple drawings Abstract: In 1988 Rafla conjectured that every simple drawing of a complete graph $K_n$ contains a plane, i.e., non-crossing, Hamiltonian cycle. The conjecture is far from being resolved. The lower bounds for plane paths and plane matchings ha...	[]	Validation
45,384	16	Title: Semantic-aware Generation of Multi-view Portrait Drawings Abstract: Neural radiance fields (NeRF) based methods have shown amazing performance in synthesizing 3D-consistent photographic images, but fail to generate multi-view portrait drawings. The key is that the basic assumption of these methods -- a surface p...	[]	Train
45,385	36	Title: On the Potential and Limitations of Proxy Voting: Delegation with Incomplete Votes Abstract: We study elections where voters are faced with the challenge of expressing preferences over an extreme number of issues under consideration. This is largely motivated by emerging blockchain governance systems, which incl...	[]	Train
45,386	27	Title: Pedestrian Behavior Interacting with Autonomous Vehicles: Role of AV Operation and Signal Indication and Roadway Infrastructure Abstract: Interacting with pedestrians is challenging for Autonomous vehicles (AVs). This study evaluates how AV operations /associated signaling and roadway infrastructure affect pedes...	[]	Train
45,387	34	Title: Threshold Testing and Semi-Online Prophet Inequalities Abstract: We study threshold testing, an elementary probing model with the goal to choose a large value out of $n$ i.i.d. random variables. An algorithm can test each variable $X_i$ once for some threshold $t_i$, and the test returns binary feedback whether ...	[ 35338 ]	Test
45,388	24	Title: Efficient Storage of Fine-Tuned Models via Low-Rank Approximation of Weight Residuals Abstract: In this paper, we present an efficient method for storing fine-tuned models by leveraging the low-rank properties of weight residuals. Our key observation is that weight residuals in large overparameterized models exh...	[ 32635, 17508, 34074, 17883, 29375 ]	Train
45,389	8	Title: Detection and mitigation of indirect conflicts between xApps in Open Radio Access Networks Abstract: In Open Radio Access Networks, the Conflict Mitigation component, which is part of the Near-RT RIC, aims to detect and resolve any conflicts between xApp decisions. In this paper, we propose a universal method fo...	[]	Train
45,390	5	Title: Demand-driven provisioning of Kubernetes-like resources in OSG Abstract: The OSG-operated Open Science Pool is an HTCondor-based virtual cluster that aggregates resources from compute clusters provided by several organizations. Most of the resources are not owned by OSG, so demand-based dynamic provisioning is i...	[]	Train
45,391	24	Title: Multi-Task Learning with Prior Information Abstract: Multi-task learning aims to boost the generalization performance of multiple related tasks simultaneously by leveraging information contained in those tasks. In this paper, we propose a multi-task learning framework, where we utilize prior knowledge about the ...	[ 27123 ]	Train
45,392	24	Title: Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching Abstract: Despite surprising performance on zero-shot transfer, pre-training a large-scale multimodal model is often prohibitive as it requires a huge amount of data and computing resources. In this paper, we propose a metho...	[ 40784 ]	Train
45,393	6	Title: AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy Abstract: In the past few years, the widespread use of 3D printing technology enables the growth of the market of 3D printed products. On Esty, a website focused on handmade items, hundreds of individual entrepreneurs are selling their 3D printed p...	[]	Validation
45,394	36	Title: Online Mechanism Design for Information Acquisition Abstract: We study the problem of designing mechanisms for \emph{information acquisition} scenarios. This setting models strategic interactions between an uniformed \emph{receiver} and a set of informed \emph{senders}. In our model the senders receive informati...	[ 1504 ]	Train
45,395	22	Title: Model Checking Race-freedom When "Sequential Consistency for Data-race-free Programs" is Guaranteed Abstract: Many parallel programming models guarantee that if all sequentially consistent (SC) executions of a program are free of data races, then all executions of the program will appear to be sequentially consi...	[ 43616 ]	Test
45,396	26	Title: Fréchet Statistics Based Change Point Detection in Dynamic Social Networks Abstract: This paper proposes a method to detect change points in dynamic social networks using Fr\'echet statistics. We address two main questions: (1) what metric can quantify the distances between graph Laplacians in a dynamic network ...	[]	Train
45,397	23	Title: Use and evaluation of simulation for software process education: a case study Abstract: Software Engineering is an applied discipline and concepts are difficult to grasp only at a theoretical level alone. In the context of a project management course, we introduced and evaluated the use of software process simul...	[ 16520 ]	Train
45,398	16	Title: UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View Abstract: In the field of 3D object detection for autonomous driving, the sensor portfolio including multi-modality and single-modality is diverse and complex. Since the multi-modal methods have sys...	[ 11097 ]	Train
45,399	16	Title: Joint Gaze-Location and Gaze-Object Detection Abstract: This paper proposes an efficient and effective method for joint gaze location detection (GL-D) and gaze object detection (GO-D), \emph{i.e.}, gaze following detection. Current approaches frame GL-D and GO-D as two separate tasks, employing a multi-stage fra...	[]	Validation
45,400	27	Title: Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes Abstract: Autonomous racing is increasingly becoming a proving ground for autonomous vehicle technology at the limits of its current capabilities. The most prominent examples include the F1Tenth racing series, Formula Student Driverless (FS...	[]	Validation
45,401	24	Title: Topologically Regularized Data Embeddings Abstract: Unsupervised feature learning often finds low-dimensional embeddings that capture the structure of complex data. For tasks for which prior expert topological knowledge is available, incorporating this into the learned representation may lead to higher quality e...	[ 8752, 37675 ]	Train
45,402	5	Title: DORA: Distributed Oracle Agreement with Simple Majority Abstract: Oracle networks feeding off-chain information to a blockchain are required to solve a distributed agreement problem since these networks receive information from multiple sources and at different times. We make a key observation that in most cases...	[]	Test
45,403	30	Title: Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens Abstract: The rapid growth in the usage and applications of Natural Language Processing (NLP) in various sociotechnical solutions has highlighted the need for a comprehensive understanding of bias and...	[ 35625, 12067 ]	Train
45,404	30	Title: Multi-Dialectal Representation Learning of Sinitic Phonology Abstract: Representation learning of Sinitic Phonology using a knowledge graph based method	[]	Train
45,405	24	Title: On marginal feature attributions of tree-based models Abstract: Due to their power and ease of use, tree-based machine learning models, such as random forests and gradient-boosted tree ensembles, have become very popular. To interpret them, local feature attributions based on marginal expectations, e.g. marginal...	[ 42625 ]	Train
45,406	31	Title: Leveraging Large Language Models for Pre-trained Recommender Systems Abstract: Recent advancements in recommendation systems have shifted towards more comprehensive and personalized recommendations by utilizing large language models (LLM). However, effectively integrating LLM's commonsense knowledge and reasonin...	[ 24706, 43586, 452, 30854, 43271, 45898, 13583, 5744, 27281, 33328, 16179, 788, 30131, 23286, 24503, 3643, 9917, 19967 ]	Train
45,407	28	Title: Simultaneous Wireless Information and Power Transfer in Near-Field Communications Abstract: A near-field simultaneous wireless information and power transfer (SWIPT) network is investigated, where the hybrid beamforming architecture is employed at the base station (BS) for information transmission while charging...	[ 36430, 6959 ]	Train
45,408	24	Title: Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection Abstract: The goal of Feature Selection - comprising filter, wrapper, and embedded approaches - is to find the optimal feature subset for designated downstream tasks. Nevertheless, current feature selection method...	[ 8161 ]	Train
45,409	8	Title: Demonstration of a low latency bandwidth allocation mechanism for mission critical applications in virtual PONs with P4 programmable hardware Abstract: We provide a real-time demonstration of a low-latency PON DBA mechanism, optimised for virtual PONs. Our implementation mixes P4 programmable data plane and soft...	[ 1708 ]	Train
45,410	27	Title: Risk-aware Vehicle Motion Planning Using Bayesian LSTM-Based Model Predictive Control Abstract: —Understanding the probabilistic traffic environment is a vital challenge for the motion planning of autonomous vehicles. To make feasible control decisions, forecasting future trajectories of adjacent cars is essenti...	[ 28939 ]	Validation
45,411	24	Title: A Novel Sparse Regularizer Abstract: $L_p$-norm regularization schemes such as $L_0$, $L_1$, and $L_2$-norm regularization and $L_p$-norm-based regularization techniques such as weight decay, LASSO, and elastic net compute a quantity which depends on model weights considered in isolation from one another. This p...	[ 45352 ]	Test
45,412	34	Title: Improved Approximation Algorithms for Multidepot Capacitated Vehicle Routing Abstract: The Multidepot Capacitated Vehicle Routing Problem (MCVRP) is a well-known variant of the classic Capacitated Vehicle Routing Problem (CVRP), where we need to route capacitated vehicles located in multiple depots to serve cust...	[]	Test
45,413	2	Title: Minimally Comparing Relational Abstract Domains Abstract: Value-based static analysis techniques express computed program invariants as logical formula over program variables. Researchers and practitioners use these invariants to aid in software engineering and verification tasks. When selecting abstract domains...	[]	Test
45,414	16	Title: Human 3D Avatar Modeling with Implicit Neural Representation: A Brief Survey Abstract: A human 3D avatar is one of the important elements in the metaverse, and the modeling effect directly affects people's visual experience. However, the human body has a complex topology and diverse details, so it is often expen...	[ 2453, 19871 ]	Test
45,415	16	Title: CMSG: Cross-Media Semantic-Graph Feature Matching Algorithm for Autonomous Vehicle Relocalization Abstract: Relocalization is the basis of map-based localization algorithms. Camera and LiDAR map-based methods are pervasive since their robustness under different scenarios. Generally, mapping and localization usin...	[]	Train
45,416	30	Title: Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning Abstract: The standard definition generation task requires to automatically produce mono-lingual definitions (e.g., English definitions for English words), but ignores that the generated definitions may als...	[]	Train
45,417	16	Title: Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method Abstract: Adversarial example detection is known to be an effective adversarial defense method. Black-box attack, which is a more realistic threat and has led to various black-box adversarial training-based defense methods, howev...	[]	Train
45,418	4	Title: OIDC2: Open Identity Certification with OpenID Connect Abstract: OpenID Connect (OIDC) is a widely used authentication standard for the Web. In this work, we define a new Identity Certification Token (ICT) for OIDC. An ICT can be thought of as a JSON-based, short-lived user certificate for end-to-end user authen...	[]	Train
45,419	24	Title: DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference Abstract: Due to limited resources on edge and different characteristics of deep neural network (DNN) models, it is a big challenge to optimize DNN inference performance in terms of energy consumption and end-to-end latency on edge...	[]	Train
45,420	10	Title: A Pre-training Framework for Knowledge Graph Completion Abstract: Knowledge graph completion (KGC) is one of the effective methods to identify new facts in knowledge graph. Except for a few methods based on graph network, most of KGC methods trend to be trained based on independent triples, while are difficult t...	[]	Test
45,421	2	Title: Tractable and Intractable Entailment Problems in Separation Logic with Inductively Defined Predicates Abstract: We establish various complexity results for the entailment problem between formulas in Separation Logic with user-defined predicates denoting recursive data structures. The considered fragments are cha...	[]	Test
45,422	16	Title: CoT-MISR: Marrying Convolution and Transformer for Multi-Image Super-Resolution Abstract: As a method of image restoration, image super-resolution has been extensively studied at first. How to transform a low-resolution image to restore its high-resolution image information is a problem that researchers have bee...	[]	Validation
45,423	10	Title: Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective Abstract: MOBA games, e.g., Dota2 and Honor of Kings, have been actively used as the testbed for the recent AI research on games, and various AI systems have been developed at the human level so far. However,...	[]	Train
45,424	25	Title: DiCLET-TTS: Diffusion Model based Cross-lingual Emotion Transfer for Text-to-Speech - A Study between English and Mandarin Abstract: While the performance of cross-lingual TTS based on monolingual corpora has been significantly improved recently, generating cross-lingual speech still suffers from the foreign acc...	[]	Train
45,425	24	Title: Deep Reinforcement Learning for Artificial Upwelling Energy Management Abstract: The potential of artificial upwelling (AU) as a means of lifting nutrient-rich bottom water to the surface, stimulating seaweed growth, and consequently enhancing ocean carbon sequestration, has been gaining increasing attention in ...	[]	Train
45,426	30	Title: ChatGPT (Feb 13 Version) is a Chinese Room Abstract: ChatGPT has gained both positive and negative publicity after reports suggesting that it is able to pass various professional and licensing examinations. This suggests that ChatGPT may pass Turing Test in the near future. However, a computer program that passi...	[]	Train
45,427	22	Title: Dynamic Partial Order Reduction for Checking Correctness against Transaction Isolation Levels Abstract: Modern applications, such as social networking systems and e-commerce platforms are centered around using large-scale databases for storing and retrieving data. Accesses to the database are typically enclosed ...	[]	Train
45,428	16	Title: Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering Abstract: Medical visual question answering (VQA) is a challenging task that requires answering clinical questions of a given medical image, by taking consider of both visual and language...	[]	Test
45,429	26	Title: A "Game of Like" : Online Social Network Sharing As Strategic Interaction Abstract: We argue that behavioral science models of online content-sharing overlook the role of strategic interactions between users. Borrowing from accuracy-nudges studies decision-theoretic models, we propose a basic game model and expl...	[]	Train
45,430	26	Title: Analytic relationship of relative synchronizability to network structure and motifs Abstract: Synchronization phenomena on networks have attracted much attention in studies of neural, social, economic, and biological systems, yet we still lack a systematic understanding of how relative synchronizability relates ...	[]	Train
45,431	24	Title: Smoothness and monotonicity constraints for neural networks using ICEnet Abstract: Deep neural networks have become an important tool for use in actuarial tasks, due to the significant gains in accuracy provided by these techniques compared to traditional methods, but also due to the close connection of these mo...	[]	Train
45,432	16	Title: Sanity checks and improvements for patch visualisation in prototype-based image classification Abstract: In this work, we perform an in-depth analysis of the visualisation methods implemented in two popular self-explaining models for visual classification based on prototypes - ProtoPNet and ProtoTree. Using two ...	[ 8771 ]	Train
45,433	16	Title: Low-Light Image Enhancement via Structure Modeling and Guidance Abstract: This paper proposes a new framework for low-light image enhancement by simultaneously conducting the appearance as well as structure modeling. It employs the structural feature to guide the appearance enhancement, leading to sharp and real...	[ 10492 ]	Train
45,434	4	Title: NLP-based Cross-Layer 5G Vulnerabilities Detection via Fuzzing Generated Run-Time Profiling Abstract: The effectiveness and efficiency of 5G software stack vulnerability and unintended behavior detection are essential for 5G assurance, especially for its applications in critical infrastructures. Scalability and ...	[ 2055 ]	Train
45,435	24	Title: Arbitrariness Lies Beyond the Fairness-Accuracy Frontier Abstract: Machine learning tasks may admit multiple competing models that achieve similar performance yet produce conflicting outputs for individual samples -- a phenomenon known as predictive multiplicity. We demonstrate that fairness interventions in mac...	[ 15522, 27491, 1197 ]	Test
45,436	5	Title: Evaluating the Potential of Disaggregated Memory Systems for HPC applications Abstract: Disaggregated memory is a promising approach that addresses the limitations of traditional memory architectures by enabling memory to be decoupled from compute nodes and shared across a data center. Cloud platforms have deplo...	[ 44712, 24801, 38227 ]	Validation
45,437	10	Title: Neuro-symbolic Meta Reinforcement Learning for Trading Abstract: We model short-duration (e.g. day) trading in financial markets as a sequential decision-making problem under uncertainty, with the added complication of continual concept-drift. We, therefore, employ meta reinforcement learning via the RL2 algorit...	[]	Validation
45,438	27	Title: Accelerated K-Serial Stable Coalition for Dynamic Capture and Resource Defense Abstract: Coalition is an important mean of multi-robot systems to collaborate on common tasks. An effective and adaptive coalition strategy is essential for the online performance in dynamic and unknown environments. In this work, th...	[]	Test
45,439	16	Title: UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving Abstract: Masked Autoencoders (MAE) play a pivotal role in learning potent representations, delivering outstanding results across various 3D perception tasks essential for autonomous driving. In real-w...	[ 9107, 34804, 30998, 4919, 45087 ]	Test
45,440	27	Title: Optimizing Fuel-Constrained UAV-UGV Routes for Large Scale Coverage: Bilevel Planning in Heterogeneous Multi-Agent Systems Abstract: Fast moving unmanned aerial vehicles (UAVs) are well suited for aerial surveillance, but are limited by their battery capacity. To increase their endurance UAVs can be refueled on ...	[ 25133 ]	Train
45,441	24	Title: FedDec: Peer-to-peer Aided Federated Learning Abstract: Federated learning (FL) has enabled training machine learning models exploiting the data of multiple agents without compromising privacy. However, FL is known to be vulnerable to data heterogeneity, partial device participation, and infrequent communication...	[]	Train
45,442	24	Title: CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems Abstract: Multi-agent dynamical systems refer to scenarios where multiple units (aka agents) interact with each other and evolve collectively over time. For instance, people's health conditions are mutually influenced. Receiving vaccinat...	[ 28510 ]	Train
45,443	15	Title: Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units Abstract: Tensor processing units (TPUs), specialized hardware accelerators for machine learning tasks, have shown significant performance improvements when executing convolutional layers in convolutional neural ne...	[]	Train
45,444	24	Title: DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning Abstract: Communication lays the foundation for cooperation in human society and in multi-agent reinforcement learning (MARL). Humans also desire to maintain their privacy when communicating with others, yet such priva...	[]	Test
45,445	25	Title: Audio classification using ML methods Abstract: Machine Learning systems have achieved outstanding performance in different domains. In this paper machine learning methods have been applied to classification task to classify music genre. The code shows how to extract features from audio files and classify them u...	[]	Train
45,446	24	Title: Personalising Digital Health Behaviour Change Interventions using Machine Learning and Domain Knowledge Abstract: We are developing a virtual coaching system that helps patients adhere to behavior change interventions (BCI). Our proposed system predicts whether a patient will perform the targeted behaviour and u...	[]	Validation
45,447	16	Title: A novel application for real-time arrhythmia detection using YOLOv8 Abstract: In recent years, there has been an increasing need to reduce healthcare costs in remote monitoring of cardiovascular health. Detecting and classifying cardiac arrhythmia is critical to diagnosing patients with cardiac abnormalities. Th...	[ 44945, 1323 ]	Validation
45,448	24	Title: Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training Abstract: Parallel training of neural networks at scale is challenging due to significant overheads arising from communication. Recently, deep learning researchers have developed a variety of pruning algorithms that are capable of pru...	[]	Test
45,449	16	Title: DDT: Dual-branch Deformable Transformer for Image Denoising Abstract: Transformer is beneficial for image denoising tasks since it can model long-range dependencies to overcome the limitations presented by inductive convolutional biases. However, directly applying the transformer structure to remove noise is cha...	[]	Test
45,450	24	Title: Generating tabular datasets under differential privacy Abstract: Machine Learning (ML) is accelerating progress across fields and industries, but relies on accessible and high-quality training data. Some of the most important datasets are found in biomedical and financial domains in the form of spreadsheets and ...	[]	Train
45,451	36	Title: Maximizing Miner Revenue in Transaction Fee Mechanism Design Abstract: Transaction fee mechanism design is a new decentralized mechanism design problem where users bid for space on the blockchain. Several recent works showed that the transaction fee mechanism design fundamentally departs from classical mechanism...	[ 39907, 26646 ]	Validation
45,452	16	Title: Unmasked Teacher: Towards Training-Efficient Video Foundation Models Abstract: Video Foundation Models (VFMs) have received limited exploration due to high computational costs and data scarcity. Previous VFMs rely on Image Foundation Models (IFMs), which face challenges in transferring to the video domain. Altho...	[ 37765, 14086, 872, 9810, 19122, 22324, 26109, 42270 ]	Validation
45,453	24	Title: Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs Abstract: Goal-Conditioned Hierarchical Reinforcement Learning (GCHRL) is a promising paradigm to address the exploration-exploitation dilemma in reinforcement learning. It decomposes the source task into sub...	[]	Train
45,454	15	Title: TL-nvSRAM-CIM: Ultra-High-Density Three-Level ReRAM-Assisted Computing-in-nvSRAM with DC-Power Free Restore and Ternary MAC Operations Abstract: Accommodating all the weights on-chip for large-scale NNs remains a great challenge for SRAM based computing-in-memory (SRAM-CIM) with limited on-chip capacity. Previou...	[]	Train
45,455	30	Title: Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective Abstract: Molecule discovery plays a crucial role in various scientific fields, advancing the design of tailored materials and drugs. Traditional methods for molecule discovery follow a trial-and-erro...	[ 4610, 18085, 31045, 11592, 1611, 397, 21456, 41104, 42417, 16179, 17299, 18615, 16827, 45340, 12413 ]	Train
45,456	16	Title: MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation Abstract: Existing self-supervised learning methods based on contrastive learning and masked image modeling have demonstrated impressive performances. However, current masked image modeling methods ar...	[]	Train
45,457	16	Title: SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning Abstract: We propose SimSC, a remarkably simple framework, to address the problem of semantic matching only based on the feature backbone. We discover that when fine-tuning ImageNet pre-trained backbone on the semantic matching task,...	[]	Train
45,458	16	Title: Shape of You: Precise 3D shape estimations for diverse body types Abstract: This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems. While existing methods have successfully estimated 3D poses, there remains a lack o...	[]	Train
45,459	5	Title: Defending Hash Tables from Subterfuge with Depth Charge Abstract: We consider the problem of defending a hash table against a Byzantine attacker that is trying to degrade the performance of query, insertion and deletion operations. Our defense makes use of resource burning (RB) -- the the verifiable expenditure ...	[]	Validation
45,460	24	Title: Conflict-Averse Gradient Optimization of Ensembles for Effective Offline Model-Based Optimization Abstract: Data-driven offline model-based optimization (MBO) is an established practical approach to black-box computational design problems for which the true objective function is unknown and expensive to query. H...	[]	Train
45,461	34	Title: Improved Competitive Ratio for Edge-Weighted Online Stochastic Matching Abstract: We consider the edge-weighted online stochastic matching problem, in which an edge-weighted bipartite graph G=(I\cup J, E) with offline vertices J and online vertex types I is given. The online vertices have types sampled from I wi...	[ 35811 ]	Train
45,462	30	Title: A Better Way to Do Masked Language Model Scoring Abstract: Estimating the log-likelihood of a given sentence under an autoregressive language model is straightforward: one can simply apply the chain rule and sum the log-likelihood values for each successive token. However, for masked language models (MLMs), ther...	[]	Train
45,463	30	Title: FairPy: A Toolkit for Evaluation of Social Biases and their Mitigation in Large Language Models Abstract: Studies have shown that large pretrained language models exhibit biases against social groups based on race, gender etc, which they inherit from the datasets they are trained on. Various researchers have pro...	[ 17248, 28489 ]	Test
45,464	24	Title: NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage Abstract: High annotation cost for training machine learning classifiers has driven extensive research in active learning and self-supervised learning. Recent research has shown that in the context of supervised learning differen...	[]	Train
45,465	16	Title: UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks Abstract: Large-scale joint training of multimodal models, e.g., CLIP, have demonstrated great performance in many vision-language tasks. However, image-text pairs for pre-training are restricted to the intersection of imag...	[ 23545 ]	Train
45,466	10	Title: Chebyshev distances associated to the second members of systems of Max-product/Lukasiewicz Fuzzy relational equations Abstract: In this article, we study the inconsistency of a system of $\max$-product fuzzy relational equations and of a system of $\max$-Lukasiewicz fuzzy relational equations. For a system of $\...	[ 23919 ]	Train
45,467	16	Title: ISLE: A Framework for Image Level Semantic Segmentation Ensemble Abstract: One key bottleneck of employing state-of-the-art semantic segmentation networks in the real world is the availability of training labels. Conventional semantic segmentation networks require massive pixel-wise annotated labels to reach sta...	[]	Test
45,468	4	Title: NFT-Based Blockchain-Oriented Security Framework for Metaverse Applications Abstract: The Metaverse is rapidly evolving, bringing us closer to its imminent reality. However, the widespread adoption of this new automated technology poses significant research challenges in terms of authenticity, integrity, interop...	[]	Validation
45,469	10	Title: A Survey on Multi-Resident Activity Recognition in Smart Environments Abstract: Human activity recognition (HAR) is a rapidly growing field that utilizes smart devices, sensors, and algorithms to automatically classify and identify the actions of individuals within a given environment. These systems have a wide ...	[ 7494 ]	Train
45,470	30	Title: Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT) Abstract: The rapid advancement of large language models (LLMs) has revolutionized natural language processing (NLP). While these models excel at understanding and generatin...	[ 6979, 13700, 28233, 109, 24440, 43641 ]	Train
45,471	30	Title: Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs Abstract: Most interpretability research in NLP focuses on understanding the behavior and features of a fully trained model. However, certain insights into model behavior may only be accessible by observing the trajector...	[ 38338, 27622, 1853, 38834, 2813 ]	Train
45,472	5	Title: Topological Characterization of Task Solvability in General Models of Computation Abstract: The famous asynchronous computability theorem (ACT) relates the existence of an asynchronous wait-free shared memory protocol for solving a task with the existence of a simplicial map from a subdivision of the simplicial ...	[ 12682 ]	Train
45,473	16	Title: SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning Abstract: Recent Few-Shot Learning (FSL) methods put emphasis on generating a discriminative embedding features to precisely measure the similarity between support and query sets. Current CNN-based cross-attention approaches generate discr...	[ 25159 ]	Train
45,474	16	Title: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding Abstract: Multi-view camera-based 3D detection is a challenging problem in computer vision. Recent works leverage a pretrained LiDAR detection model to transfer knowledge to a camera-based student network. However, we ...	[ 10240, 21381, 42472, 24600, 10143 ]	Validation
45,475	16	Title: Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions Abstract: Statistical shape modeling (SSM) is an essential tool for analyzing variations in anatomical morphology. In a typical SSM pipeline, 3D anatomical images, gone through segmentation and rigid registration, are represe...	[ 39262 ]	Train
45,476	6	Title: Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models Abstract: Text-to-image generative models have demonstrated remarkable capabilities in generating high-quality images based on textual prompts. However, crafting prompts that accurately capture the user's creati...	[ 9513, 40915, 34074, 13564, 29087 ]	Train
45,477	16	Title: MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation Abstract: The recent popularity of text-to-image diffusion models (DM) can largely be attributed to the intuitive interface they provide to users. The intended generation can be expressed in natural language, with the model pr...	[ 42145, 39813, 3690, 13034, 41653, 34074, 43867 ]	Train

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