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
23,278	24	Title: Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs Abstract: Heterogeneous graph neural networks aim to discover discriminative node embeddings and relations from multi-relational networks.One challenge of heterogeneous graph learning is the design of learnable meta-paths, which signific...	[]	Train
23,279	8	Title: Democratizing LEO Satellite Network Measurement Abstract: Low Earth Orbit (LEO) satellite networks are quickly gaining traction with promises of impressively low latency, high bandwidth, and global reach. However, the research community knows relatively little about their operation and performance in practice. T...	[ 40425, 12683 ]	Test
23,280	16	Title: Graph-based Asynchronous Event Processing for Rapid Object Recognition Abstract: Different from traditional video cameras, event cam- eras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightness changes. In this paper, we introduce a novel g...	[ 31205, 36040, 7498, 4332, 28686, 12144, 30353, 34289, 31765, 32470, 24504, 32155 ]	Train
23,281	27	Title: Nonlinear MPC for Full-Pose Manipulation of a Cable-Suspended Load using Multiple UAVs Abstract: In this work, we propose a centralized control method based on nonlinear model predictive control to let multiple UAVs manipulate the full pose of an object via cables. At the best of the authors knowledge this is th...	[ 41360, 29976 ]	Train
23,282	10	Title: A Neural Separation Algorithm for the Rounded Capacity Inequalities Abstract: The cutting plane method is a key technique for successful branch-and-cut and branch-price-and-cut algorithms that find the exact optimal solutions for various vehicle routing problems (VRPs). Among various cuts, the rounded capacity i...	[]	Test
23,283	16	Title: A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis Abstract: Recent advances in self-supervised learning (SSL) in computer vision are primarily comparative, whose goal is to preserve invariant and discriminative semantics in latent representations by co...	[ 28288, 2625, 3910, 44199, 27817 ]	Train
23,284	16	Title: Graph Matching Optimization Network for Point Cloud Registration Abstract: Point Cloud Registration is a fundamental and challenging problem in 3D computer vision. Recent works often utilize the geometric structure information in point feature embedding or outlier rejection for registration while neglecting to c...	[]	Train
23,285	16	Title: EVA-CLIP: Improved Training Techniques for CLIP at Scale Abstract: Contrastive language-image pre-training, CLIP for short, has gained increasing attention for its potential in various scenarios. In this paper, we propose EVA-CLIP, a series of models that significantly improve the efficiency and effectiveness of...	[ 10624, 36611, 3076, 37765, 14086, 8084, 30500, 7850, 10538, 16685, 14126, 4788, 22324, 45245, 30404, 43590, 37832, 969, 38858, 5969, 21207, 13674, 45803, 38894, 12399, 12281 ]	Train
23,286	31	Title: ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models Abstract: Personalized content-based recommender systems have become indispensable tools for users to navigate through the vast amount of content available on platforms like daily news websites and book recommenda...	[ 21441, 4610, 24706, 28674, 13700, 39170, 14282, 24141, 30131, 24308, 43641, 12251, 9917, 45406, 43103 ]	Test
23,287	24	Title: On the causality-preservation capabilities of generative modelling Abstract: Modeling lies at the core of both the financial and the insurance industry for a wide variety of tasks. The rise and development of machine learning and deep learning models have created many opportunities to improve our modeling toolbo...	[]	Train
23,288	16	Title: ZeroSearch: Local Image Search from Text with Zero Shot Learning Abstract: The problem of organizing and finding images in a user's directory has become increasingly challenging due to the rapid growth in the number of images captured on personal devices. This paper presents a solution that utilizes zero shot le...	[]	Train
23,289	24	Title: Explanation Shift: How Did the Distribution Shift Impact the Model? Abstract: As input data distributions evolve, the predictive performance of machine learning models tends to deteriorate. In practice, new input data tend to come without target labels. Then, state-of-the-art techniques model input data distribu...	[]	Test
23,290	3	Title: Dynamic Documentation for AI Systems Abstract: AI documentation is a rapidly-growing channel for coordinating the design of AI technologies with policies for transparency and accessibility. Calls to standardize and enact documentation of algorithmic harms and impacts are now commonplace. However, documentation s...	[]	Train
23,291	28	Title: Bounds on Binary Niederreiter-Rosenbloom-Tsfasman LCD codes Abstract: Linear complementary dual codes (LCD codes) are codes whose intersections with their dual codes are trivial. These codes were introduced by Massey in 1992. LCD codes have wide applications in data storage, communication systems, and cryptograp...	[]	Train
23,292	4	Title: Detecting software vulnerabilities using Language Models Abstract: Recently, deep learning techniques have garnered substantial attention for their ability to identify vulnerable code patterns accurately. However, current state-of-the-art deep learning models, such as Convolutional Neural Networks (CNN), and Lon...	[ 40560, 676 ]	Train
23,293	28	Title: Resolution of Near-Field Beamforming and Its Impact on NOMA Abstract: The resolution of near-field beamforming is an important metric to measure how effectively users with different locations can be located. This letter identifies the condition under which the resolution of near-field beamforming is not perfect....	[ 9958 ]	Validation
23,294	13	Title: EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation Abstract: Evolutionary Computation (EC), drawing inspiration from natural evolutionary processes, has solidified its place as an integral facet of Artificial Intelligence. Its unique attributes, such as adaptability and the capab...	[ 6486 ]	Train
23,295	28	Title: On the Functions Which are CCZ-equivalent but not EA-equivalent to Quadratic Functions over Fpn Abstract: For a given function $F$ from $\mathbb F_{p^n}$ to itself, determining whether there exists a function which is CCZ-equivalent but EA-inequivalent to $F$ is a very important and interesting problem. For exam...	[]	Train
23,296	23	Title: Exploring a Test Data-Driven Method for Selecting and Constraining Metamorphic Relations Abstract: Identifying and selecting high-quality Metamorphic Relations (MRs) is a challenge in Metamorphic Testing (MT). While some techniques for automatically selecting MRs have been proposed, they are either domain-specif...	[]	Train
23,297	24	Title: A Bayesian Perspective On Training Data Attribution Abstract: Training data attribution (TDA) techniques find influential training data for the model's prediction on the test data of interest. They approximate the impact of down- or up-weighting a particular training sample. While conceptually useful, they are h...	[ 9744, 10581 ]	Train
23,298	30	Title: SETI: Systematicity Evaluation of Textual Inference Abstract: We propose SETI (Systematicity Evaluation of Textual Inference), a novel and comprehensive benchmark designed for evaluating pre-trained language models (PLMs) for their systematicity capabilities in the domain of textual inference. Specifically, SETI...	[]	Test
23,299	26	Title: STUDY: Socially Aware Temporally Causal Decoder Recommender Systems Abstract: Recommender systems are widely used to help people find items that are tailored to their interests. These interests are often influenced by social networks, making it important to use social network information effectively in recommend...	[]	Test
23,300	27	Title: Nonlinear MPC for Quadrotors in Close-Proximity Flight with Neural Network Downwash Prediction Abstract: Swarm aerial robots are required to maintain close proximity to successfully traverse narrow areas in cluttered environments. However, this movement is affected by the downwash effect generated from other qua...	[ 5518 ]	Train
23,301	31	Title: Predicting Group Choices from Group Profiles Abstract: Group recommender systems (GRS) identify items to recommend to a group by aggregating group members' individual preferences into a group profile. The preference aggregation strategy used to build the group profile can also be used for predicting the item tha...	[]	Train
23,302	30	Title: LongNet: Scaling Transformers to 1, 000, 000, 000 Tokens Abstract: Scaling sequence length has become a critical demand in the era of large language models. However, existing methods struggle with either computational complexity or model expressivity, rendering the maximum sequence length restricted. In this wor...	[ 26208, 11009, 30243, 18777, 3724, 19885, 37070, 18895, 27454, 9012, 5077, 5817, 42938, 9470 ]	Validation
23,303	16	Title: PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance Abstract: Most existing 3D instance segmentation methods are derived from 3D semantic segmentation models. However, these indirect approaches suffer from certain limitations. They fail to fully leverage global and local seman...	[]	Train
23,304	31	Title: Bayesian Knowledge-driven Critiquing with Indirect Evidence Abstract: Conversational recommender systems (CRS) enhance the expressivity and personalization of recommendations through multiple turns of user-system interaction. Critiquing is a well-known paradigm for CRS that allows users to iteratively refine rec...	[]	Train
23,305	25	Title: Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks Abstract: Cycle-consistent generative adversarial networks have been widely used in non-parallel voice conversion (VC). Their ability to learn mappings between source and target features without ...	[ 13369 ]	Validation
23,306	6	Title: Video2Action: Reducing Human Interactions in Action Annotation of App Tutorial Videos Abstract: Tutorial videos of mobile apps have become a popular and compelling way for users to learn unfamiliar app features. To make the video accessible to the users, video creators always need to annotate the actions in the ...	[ 23872, 20105, 28305 ]	Test
23,307	24	Title: A Survey on Transformers in Reinforcement Learning Abstract: Transformer has been considered the dominating neural architecture in NLP and CV, mostly under supervised settings. Recently, a similar surge of using Transformers has appeared in the domain of reinforcement learning (RL), but it is faced with unique d...	[ 22816, 36349, 25156, 37898, 37742, 25582, 25660, 11929, 41620, 22965, 10679, 7961, 35292, 13564, 8157 ]	Validation
23,308	23	Title: Automated use case diagram generator using NLP and ML Abstract: This paper presents a novel approach to generate a use case diagram by analyzing the given user story using NLP and ML. Use case diagrams play a major role in the designing phase of the SDLC. This proves the fact that automating the use case diagram...	[]	Train
23,309	27	Title: Fine Robotic Manipulation without Force/Torque Sensor Abstract: Force Sensing and Force Control are essential to many industrial applications. Typically, a 6-axis Force/Torque (F/T) sensor is mounted between the robot's wrist and the end-effector in order to measure the forces and torques exerted by the environm...	[]	Train
23,310	39	Title: Random processes for generating task-dependency graphs Abstract: We investigate random processes for generating task-dependency graphs of order $n$ with $m$ edges and a specified number of initial vertices and terminal vertices. In order to do so, we consider two random processes for generating task-dependency g...	[]	Test
23,311	16	Title: TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer Abstract: Artistic style transfer aims to create new artistic images by rendering a given photograph with the target artistic style. Existing methods learn styles simply based on global statistics or local patches, lacking careful consi...	[]	Train
23,312	16	Title: SLPD: Slide-level Prototypical Distillation for WSIs Abstract: Improving the feature representation ability is the foundation of many whole slide pathological image (WSIs) tasks. Recent works have achieved great success in pathological-specific self-supervised learning (SSL). However, most of them only focus on ...	[ 15257 ]	Train
23,313	25	Title: A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition Abstract: The ability to accurately recognize, localize and separate sound sources is fundamental to any audio-visual perception task. Historically, these abilities were tackled separately, with several methods developed inde...	[ 38756, 27174, 5543, 30385, 3315 ]	Validation
23,314	16	Title: MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation Abstract: For infrastructure inspections, damage representation does not constantly match the predefined classes of damage grade, resulting in detailed clusters of unseen damages or more complex clusters from overlapped space bet...	[ 41798 ]	Test
23,315	13	Title: Generative Adversarial Neuroevolution for Control Behaviour Imitation Abstract: There is a recent surge in interest for imitation learning, with large human video-game and robotic manipulation datasets being used to train agents on very complex tasks. While deep neuroevolution has recently been shown to match th...	[ 34528 ]	Train
23,316	2	Title: Theorem Proving in Dependently-Typed Higher-Order Logic - Extended Preprint Abstract: Higher-order logic HOL offers a very simple syntax and semantics for representing and reasoning about typed data structures. But its type system lacks advanced features where types may depend on terms. Dependent type theory off...	[]	Test
23,317	24	Title: Neighborhood Homophily-based Graph Convolutional Network Abstract: Graph neural networks (GNNs) have been proved powerful in graph-oriented tasks. However, many real-world graphs are heterophilous, challenging the homophily assumption of classical GNNs. To solve the universality problem, many studies deepen netw...	[]	Test
23,318	25	Title: Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023 Abstract: In this report, we describe the technical details of our submission to the EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023, by Team"AcieLee"(username: Yuqi\_Li). The task is to classify the ...	[]	Train
23,319	30	Title: Unsupervised Improvement of Factual Knowledge in Language Models Abstract: Masked language modeling (MLM) plays a key role in pretraining large language models. But the MLM objective is often dominated by high-frequency words that are sub-optimal for learning factual knowledge. In this work, we propose an approa...	[]	Train
23,320	16	Title: Token Contrast for Weakly-Supervised Semantic Segmentation Abstract: Weakly-Supervised Semantic Segmentation (WSSS) using image-level labels typically utilizes Class Activation Map (CAM) to generate the pseudo labels. Limited by the local structure perception of CNN, CAM usually cannot identify the integral obje...	[ 30757, 23717, 36393, 41417, 38360, 28252, 7389 ]	Test
23,321	6	Title: Why BCIs Work Poorly with the patients who Need them the most? Abstract: A major objective of Brain-Computer interfaces (BCI) is to restore communication and control in patients with severe motor impairments, like people with Locked-in syndrome. These patients are left only with limited eye and eyelid movements....	[]	Test
23,322	23	Title: An Empirical Study on Log-based Anomaly Detection Using Machine Learning Abstract: The growth of systems complexity increases the need of automated techniques dedicated to different log analysis tasks such as Log-based Anomaly Detection (LAD). The latter has been widely addressed in the literature, mostly by mea...	[]	Test
23,323	16	Title: Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance Abstract: The networks for point cloud tasks are expected to be invariant when the point clouds are affinely transformed such as rotation and reflection. So far, relative to the rotational invariance that has been attracting major research attention i...	[ 43597 ]	Train
23,324	16	Title: CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation Abstract: The research in self-supervised domain adaptation in semantic segmentation has recently received considerable attention. Although GAN-based methods have become one of the most popular ...	[]	Train
23,325	10	Title: Computational-level Analysis of Constraint Compliance for General Intelligence Abstract: Human behavior is conditioned by codes and norms that constrain action. Rules, ``manners,'' laws, and moral imperatives are examples of classes of constraints that govern human behavior. These systems of constraints are"mess...	[]	Test
23,326	24	Title: Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices Abstract: Federated learning (FL) is increasingly becoming the default approach for training machine learning models across decentralized Internet-of-Things (IoT) devices. A key advantage of FL is that no raw data are commu...	[ 36609, 24035 ]	Train
23,327	9	Title: Uniform Tests and Algorithmic Thermodynamic Entropy Abstract: We prove that given a computable metric space and two computable measures, the set of points that have high universal uniform test scores with respect to the first measure will have a lower bound with respect to the second measure. This result is tran...	[ 27105, 4471 ]	Train
23,328	10	Title: Neuro-symbolic Commonsense Social Reasoning Abstract: Social norms underlie all human social interactions, yet formalizing and reasoning with them remains a major challenge for AI systems. We present a novel system for taking social rules of thumb (ROTs) in natural language from the Social Chemistry 101 dataset ...	[]	Train
23,329	1	Title: Instance-Wise Adaptive Tuning and Caching for Vision-Language Models Abstract: Large-scale vision-language models (LVLMs) pretrained on massive image-text pairs have achieved remarkable success in visual representations. However, existing paradigms to transfer LVLMs to downstream tasks encounter two primary chal...	[ 5583 ]	Train
23,330	16	Title: FullFormer: Generating Shapes Inside Shapes Abstract: Implicit generative models have been widely employed to model 3D data and have recently proven to be successful in encoding and generating high-quality 3D shapes. This work builds upon these models and alleviates current limitations by presenting the first im...	[]	Train
23,331	28	Title: Rate Region of MIMO RIS-assisted Broadcast Channels with Rate Splitting and Improper Signaling Abstract: In this paper, we study the achievable rate region of 1-layer rate splitting (RS) in the presence of hardware impairment (HWI) and improper Gaussian signaling (IGS) for a single-cell reconfigurable intelligen...	[ 44233, 20602, 15307, 20788 ]	Train
23,332	16	Title: NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results Abstract: In this report, we summarize the first NTIRE challenge on light field (LF) image super-resolution (SR), which aims at super-resolving LF images under the standard bicubic degradation with a magnification factor of ...	[ 22665, 12314, 39619 ]	Train
23,333	30	Title: Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation Abstract: Transformer models using segment-based processing have been an effective architecture for simultaneous speech translation. However, such models create a context mismatch between training and inference e...	[ 13885 ]	Train
23,334	28	Title: Shannon meets Gray: Noise-robust, Low-sensitivity Codes with Applications in Differential Privacy Abstract: Integer data is typically made differentially private by adding noise from a Discrete Laplace (or Discrete Gaussian) distribution. We study the setting where differential privacy of a counting query is ach...	[]	Test
23,335	24	Title: Deep Convolutional Neural Network for Plume Rise Measurements in Industrial Environments Abstract: Determining the height of plume clouds is crucial for various applications, including global climate models. Smokestack plume rise refers to the altitude at which the plume cloud travels downwind until its momentum...	[]	Test
23,336	16	Title: Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient Abstract: Recently, methods for skeleton-based human activity recognition have been shown to be vulnerable to adversarial attacks. However, these attack methods require either the full knowledge of th...	[ 30424, 8308 ]	Train
23,337	15	Title: SCONNA: A Stochastic Computing Based Optical Accelerator for Ultra-Fast, Energy-Efficient Inference of Integer-Quantized CNNs Abstract: Convolutional Neural Networks (CNNs) are used extensively for artificial intelligence applications due to their record-breaking accuracy. For efficient and swift hardware-based ...	[ 9655 ]	Train
23,338	30	Title: Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques Abstract: Since the introduction of the SemEval 2020 Task 11 (CITATION), several approaches have been proposed in the literature for classifying propagandabased on the rhetorical techniques used to influence readers.These method...	[]	Validation
23,339	16	Title: Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation Abstract: Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with significantly better performance in most benchmarks than traditional optimization-based methods. Nonetheless, 3D HPE in the wild is still the bigg...	[ 26705, 39847, 38713 ]	Train
23,340	7	Title: Evaluation of Deep Reinforcement Learning Algorithms for Portfolio Optimisation Abstract: We evaluate benchmark deep reinforcement learning (DRL) algorithms on the task of portfolio optimisation under a simulator. The simulator is based on correlated geometric Brownian motion (GBM) with the Bertsimas-Lo (BL) mar...	[]	Test
23,341	24	Title: Learning Label Encodings for Deep Regression Abstract: Deep regression networks are widely used to tackle the problem of predicting a continuous value for a given input. Task-specialized approaches for training regression networks have shown significant improvement over generic approaches, such as direct regress...	[]	Train
23,342	27	Title: Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem Abstract: We study the problem of learning a function that maps context observations (input) to parameters of a submodular function (output). Our motivating case study is a specific type of vehicle routing problem,...	[]	Train
23,343	24	Title: Practical Differentially Private and Byzantine-resilient Federated Learning Abstract: Privacy and Byzantine resilience are two indispensable requirements for a federated learning (FL) system. Although there have been extensive studies on privacy and Byzantine security in their own track, solutions that consider ...	[ 6673 ]	Validation
23,344	10	Title: Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study Abstract: Continued model-based decision support is associated with particular challenges, especially in long-term projects. Due to the regularly changing questions and the often changing understanding of the underlying system, the models ...	[]	Train
23,345	16	Title: NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds Abstract: We present NeRFVS, a novel neural radiance fields (NeRF) based method to enable free navigation in a room. NeRF achieves impressive performance in rendering images for novel views similar to the input views while suffering fo...	[]	Train
23,346	36	Title: The Contest Game for Crowdsourcing Reviews Abstract: We consider a contest game modelling a contest where reviews for $m$ proposals are crowdsourced from $n$ strategic agents} players. Player $i$ has a skill $s_{i\ell}$ for reviewing proposal $\ell$; for her review, she strategically chooses a quality $q \in \{ ...	[]	Train
23,347	16	Title: CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos Abstract: Animating an object in 3D often requires an articulated structure, e.g. a kinematic chain or skeleton of the manipulated object with proper skinning weights, to obtain smooth movements and surface deformations. However, exi...	[]	Train
23,348	24	Title: Efficient Finite Initialization for Tensorized Neural Networks Abstract: We present a novel method for initializing layers of tensorized neural networks in a way that avoids the explosion of the parameters of the matrix it emulates. The method is intended for layers with a high number of nodes in which there is ...	[]	Test
23,349	16	Title: Building Footprint Extraction in Dense Areas using Super Resolution and Frame Field Learning Abstract: Despite notable results on standard aerial datasets, current state-of-the-arts fail to produce accurate building footprints in dense areas due to challenging properties posed by these areas and limited data ava...	[]	Test
23,350	36	Title: The Cost of Sybils, Credible Commitments, and False-Name Proof Mechanisms Abstract: Consider a mechanism that cannot observe how many players there are directly, but instead must rely on their self-reports to know how many are participating. Suppose the players can create new identities to report to the auctione...	[ 42790 ]	Test
23,351	24	Title: Mathematical Modeling of BCG-based Bladder Cancer Treatment Using Socio-Demographics Abstract: Cancer is one of the most widespread diseases around the world with millions of new patients each year. Bladder cancer is one of the most prevalent types of cancer affecting all individuals alike with no obvious protot...	[ 37204 ]	Train
23,352	16	Title: DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning Abstract: Compositional Zero-shot Learning (CZSL) aims to recognize novel concepts composed of known knowledge without training samples. Standard CZSL either identifies visual primitives or enhances unseen composed entities, and ...	[ 4910, 511 ]	Train
23,353	16	Title: MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction Abstract: This report introduces the 1st place winning solution for the Autonomous Driving Challenge 2023 - Online HD-map Construction. By delving into the vectorization pipeline, we elaborate an effective architecture, termed as MachMap, wh...	[ 5584, 18283, 13596 ]	Train
23,354	11	Title: Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly used as aerial base stations to provide ad hoc communications infrastructure. Building upon prior research efforts which consider either static nodes, 2D traject...	[]	Test
23,355	24	Title: Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks Abstract: Company financial risk is ubiquitous and early risk assessment for listed companies can avoid considerable losses. Traditional methods mainly focus on the financial statements of companies a...	[ 30632, 31020, 32047, 32285, 1758 ]	Train
23,356	16	Title: Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate Abstract: Style transfer aims to render the style of a given image for style reference to another given image for content reference, and has been widely adopted in artistic generation and image editing. Existing approaches either apply the holist...	[ 30528, 16867, 25027, 28997, 27866, 41008, 13876, 44854, 18586, 7390 ]	Train
23,357	24	Title: Neural Architecture Design and Robustness: A Dataset Abstract: Deep learning models have proven to be successful in a wide range of machine learning tasks. Yet, they are often highly sensitive to perturbations on the input data which can lead to incorrect decisions with high confidence, hampering their deploymen...	[ 37061, 17064, 8654, 10261, 36985, 15484 ]	Train
23,358	24	Title: Federated Unlearning via Active Forgetting Abstract: The increasing concerns regarding the privacy of machine learning models have catalyzed the exploration of machine unlearning, i.e., a process that removes the influence of training data on machine learning models. This concern also arises in the realm of fede...	[]	Train
23,359	30	Title: Can we trust the evaluation on ChatGPT? Abstract: ChatGPT, the first large language model with mass adoption, has demonstrated remarkableperformance in numerous natural language tasks. Despite its evident usefulness, evaluatingChatGPT’s performance in diverse problem domains remains challenging due to the closed...	[ 40192, 7043, 20228, 6535, 25227, 14606, 28580, 44845, 688, 28980, 33220, 17606, 26833, 16214, 44246, 35680, 26210, 41843, 26357 ]	Train
23,360	16	Title: EfficientFace: an efficient deep network with feature enhancement for accurate face detection Abstract: nan	[ 44540 ]	Train
23,361	2	Title: Lower Bounds for Possibly Divergent Probabilistic Programs Abstract: We present a new proof rule for verifying lower bounds on quantities of probabilistic programs. Our proof rule is not confined to almost-surely terminating programs -- as is the case for existing rules -- and can be used to establish non-trivia...	[ 39458 ]	Validation
23,362	23	Title: Automating Microservices Test Failure Analysis using Kubernetes Cluster Logs Abstract: Kubernetes is a free, open-source container orchestration system for deploying and managing Docker containers that host microservices. Kubernetes cluster logs help in determining the reason for the failure. However, as systems...	[]	Train
23,363	22	Title: Kind Inference for the FreeST Programming Language Abstract: We present a kind inference algorithm for the FREEST programming language. The input to the algorithm is FREEST source code with (possibly part of) kind annotations replaced by kind variables. The algorithm infers concrete kinds for all kind variables....	[]	Train
23,364	16	Title: WeditGAN: Few-shot Image Generation via Latent Space Relocation Abstract: In few-shot image generation, directly training GAN models on just a handful of images faces the risk of overfitting. A popular solution is to transfer the models pretrained on large source domains to small target ones. In this work, we in...	[ 28642, 43144, 39786, 43248, 1082 ]	Train
23,365	7	Title: Efficient Reduced Magnetic Vector Potential Formulation for the Magnetic Field Simulation of Superconducting Magnets Abstract: The major advantage of reduced magnetic vector potential formulations (RMVPs) is that complicated coil structures do not need to be resolved by a computational mesh. Instead, they are mo...	[]	Validation
23,366	16	Title: Area of interest adaption using feature importance Abstract: In this paper, we present two approaches and algorithms that adapt areas of interest (AOI) or regions of interest (ROI), respectively, to the eye tracking data quality and classification task. The first approach uses feature importance in a greedy way ...	[]	Train
23,367	16	Title: Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks Abstract: To design fast neural networks, many works have been focusing on reducing the number of floating-point operations (FLOPs). We observe that such reduction in FLOPs, however, does not necessarily lead to a similar level of re-duction in lat...	[ 37865, 27788, 3565, 41614, 12798 ]	Train
23,368	16	Title: Robust Cross-Modal Knowledge Distillation for Unconstrained Videos Abstract: Cross-modal distillation has been widely used to transfer knowledge across different modalities, enriching the representation of the target unimodal one. Recent studies highly relate the temporal synchronization between vision and sound...	[ 24337 ]	Train
23,369	16	Title: Learning Concise and Descriptive Attributes for Visual Recognition Abstract: Recent advances in foundation models present new opportunities for interpretable visual recognition -- one can first query Large Language Models (LLMs) to obtain a set of attributes that describe each class, then apply vision-language m...	[ 20228 ]	Train
23,370	15	Title: From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration Abstract: The computing industry is forced to find alternative design approaches and computing platforms to sustain increased power efficiency, while providing sufficient performance. Amon...	[]	Train
23,371	12	Title: ChatGPT believes it is conscious Abstract: The development of advanced generative chat models, such as ChatGPT, has raised questions about the potential consciousness of these tools and the extent of their general artificial intelligence. ChatGPT consistent avoidance of passing the test is here overcome by askin...	[ 36528, 28580, 13510 ]	Train
23,372	1	Title: Latency Target based Analysis of the DASH.js Player Abstract: We analyse the low latency performance of the three Adaptive Bitrate (ABR) algorithms in the dash.js Dynamic Adaptive Streaming over HTTP (DASH) player with respect to a range of latency targets and configuration options. We perform experiments on our...	[]	Train
23,373	10	Title: NFRsTDO v1.2's Terms, Properties, and Relationships - A Top-Domain Non-Functional Requirements Ontology Abstract: This preprint specifies and defines all the Terms, Properties, and Relationships of NFRsTDO (Non-Functional Requirements Top-Domain Ontology). NFRsTDO v1.2, whose UML conceptualization is shown in Fi...	[]	Train
23,374	24	Title: BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning Abstract: Federated learning (FL) is a prospective distributed machine learning framework that can preserve data privacy. In particular, cross-silo FL can complete model training by making isolated data isla...	[]	Test
23,375	31	Title: Contrastive Cross-Domain Sequential Recommendation Abstract: Cross-Domain Sequential Recommendation (CDSR) aims to predict future interactions based on user's historical sequential interactions from multiple domains. Generally, a key challenge of CDSR is how to mine precise cross-domain user preference based on ...	[ 38023, 28841, 31020, 43698, 30100 ]	Validation
23,376	28	Title: Extreme Level Crossing Rate: A New Performance Indicator for URLLC Systems Abstract: Level crossing rate (LCR) is a well-known statistical tool that is related to the duration of a random stationary fading process \emph{on average}. In doing so, LCR cannot capture the behavior of \emph{extremely rare} random eve...	[]	Train
23,377	24	Title: Learning on Graphs under Label Noise Abstract: Node classification on graphs is a significant task with a wide range of applications, including social analysis and anomaly detection. Even though graph neural networks (GNNs) have produced promising results on this task, current techniques often presume that label...	[ 27369, 23090, 36182, 7519 ]	Train

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