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
16,078	16	Title: Robo3D: Towards Robust and Reliable 3D Perception against Corruptions Abstract: The robustness of 3D perception systems under natural corruptions from environments and sensors is pivotal for safety-critical applications. Existing large-scale 3D perception datasets often contain data that are meticulously cleaned...	[ 23713, 32036, 9606, 9126, 43114, 36174, 4047, 30640, 32662, 22840, 4443 ]	Test
16,079	16	Title: STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation Abstract: Self-supervised depth estimation draws a lot of attention recently as it can promote the 3D sensing capa-bilities of self-driving vehicles. However, it intrinsically relies upon the photometric consistency assumption, which h...	[ 21170, 45506, 3818, 32664 ]	Test
16,080	10	Title: Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI) Abstract: Within the field of Requirements Engineering (RE), the increasing significance of Explainable Artificial Intelligence (XAI) in aligning AI-supported systems with user needs, societal expectations, and regul...	[ 13510, 7278 ]	Test
16,081	30	Title: Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance Abstract: We propose the use of conversational GPT models for easy and quick few-shot text classification in the financial domain using the Banking77 dataset. Our approach involves in-context learning with GPT-3.5 and GPT-4, which minimizes...	[ 16704, 13700 ]	Train
16,082	24	Title: Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data Abstract: Modern deep neural networks have achieved impressive performance on tasks from image classification to natural language processing. Surprisingly, these complex systems with massive amounts of parameters exhibit the same structura...	[ 44753, 12925, 10495 ]	Test
16,083	10	Title: Visual Story Generation Based on Emotion and Keywords Abstract: Automated visual story generation aims to produce stories with corresponding illustrations that exhibit coherence, progression, and adherence to characters' emotional development. This work proposes a story generation pipeline to co-create visual st...	[]	Train
16,084	24	Title: Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning Abstract: Offline reinforcement learning aims to utilize datasets of previously gathered environment-action interaction records to learn a policy without access to the rea...	[ 1858, 42090, 11947, 38156, 4525, 13714, 20759 ]	Train
16,085	27	Title: Learning to Trace and Untangle Semi-planar Knots (TUSK) Abstract: This paper extends prior work on untangling long cables and presents TUSK (Tracing to Untangle Semi-planar Knots), a learned cable-tracing algorithm that resolves over-crossings and undercrossings to recognize the structure of knots and grasp poin...	[ 38635 ]	Train
16,086	6	Title: Effects of Different Levels of Self-Representation on Spatial Awareness, Self-Presence and Spatial Presence during Virtual Locomotion Abstract: Recently, there has been growing interest in investigating the effects of self-representation on user experience and perception in virtual environments. However, few stu...	[]	Validation
16,087	16	Title: T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection Abstract: Neural networks are notorious for being overconfident predictors, posing a significant challenge to their safe deployment in real-world applications. While feature normalization has garnered considerable attention withi...	[]	Train
16,088	16	Title: PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation Abstract: Reliable LiDAR panoptic segmentation (LPS), including both semantic and instance segmentation, is vital for many robotic applications, such as autonomous driving. This work proposes a new LPS framework named PANet to elimi...	[ 22058 ]	Validation
16,089	30	Title: Abstractive Text Summarization Using the BRIO Training Paradigm Abstract: Summary sentences produced by abstractive summarization models may be coherent and comprehensive, but they lack control and rely heavily on reference summaries. The BRIO training paradigm assumes a non-deterministic distribution to reduce ...	[]	Train
16,090	16	Title: Gradient-Semantic Compensation for Incremental Semantic Segmentation Abstract: Incremental semantic segmentation aims to continually learn the segmentation of new coming classes without accessing the training data of previously learned classes. However, most current methods fail to address catastrophic forgettin...	[ 26903 ]	Train
16,091	16	Title: Ultra-Fast Zernike Moments using FFT and GPU Abstract: Zernike moments can be used to generate invariant features that are applied in various machine vision applications. They, however, suffer from slow implementation and numerical stability problems. We propose a novel method for computing Zernike using Fast Fo...	[]	Test
16,092	27	Title: A Diversity Analysis of Safety Metrics Comparing Vehicle Performance in the Lead-Vehicle Interaction Regime Abstract: Vehicle performance metrics analyze data sets consisting of subject vehicle's interactions with other road users in a nominal driving environment and provide certain performance measures as outpu...	[]	Train
16,093	10	Title: Scalable Neural-Probabilistic Answer Set Programming Abstract: The goal of combining the robustness of neural networks and the expressiveness of symbolic methods has rekindled the interest in Neuro-Symbolic AI. Deep Probabilistic Programming Languages (DPPLs) have been developed for probabilistic logic programmi...	[]	Train
16,094	24	Title: DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Abstract: We propose a tuning-free dynamic SGD step size formula, which we call Distance over Gradients (DoG). The DoG step sizes depend on simple empirical quantities (distance from the initial point and norms of gradients) and have no ``lear...	[ 39522, 23943, 15816, 37384, 41487, 40819 ]	Train
16,095	24	Title: Self-Consistent Velocity Matching of Probability Flows Abstract: We present a discretization-free scalable framework for solving a large class of mass-conserving partial differential equations (PDEs), including the time-dependent Fokker-Planck equation and the Wasserstein gradient flow. The main observation is t...	[ 43881, 11146 ]	Train
16,096	4	Title: DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning Abstract: Federated learning (FL) attempts to train a global model by aggregating local models from distributed devices under the coordination of a central server. However, the existence of a large number of heterogeneous devices makes FL vu...	[]	Train
16,097	37	Title: APRIL: Approximating Polygons as Raster Interval Lists Abstract: The spatial intersection join an important spatial query operation, due to its popularity and high complexity. The spatial join pipeline takes as input two collections of spatial objects (e.g., polygons). In the filter step, pairs of object MBRs th...	[ 18860 ]	Train
16,098	24	Title: Sifer: Overcoming simplicity bias in deep networks using a feature sieve Abstract: Simplicity bias is the concerning tendency of deep networks to over-depend on simple, weakly predictive features, to the exclusion of stronger, more complex features. This is exacerbated in real-world applications by limited train...	[ 19833, 32006 ]	Validation
16,099	24	Title: Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph Abstract: Anomaly detection on attributed graphs is a crucial topic for its practical application. Existing methods suffer from semantic mixture and imbalance issue because they mainl...	[]	Validation
16,100	16	Title: Defect Classification in Additive Manufacturing Using CNN-Based Vision Processing Abstract: The development of computer vision and in-situ monitoring using visual sensors allows the collection of large datasets from the additive manufacturing (AM) process. Such datasets could be used with machine learning techni...	[]	Test
16,101	28	Title: Information Rates for Channels with Fading, Side Information and Adaptive Codewords Abstract: Generalized mutual information (GMI) is used to compute achievable rates for fading channels with various types of channel state information at the transmitter (CSIT) and receiver (CSIR). The GMI is based on variations ...	[]	Train
16,102	5	Title: Approximate Wireless Communication for Federated Learning Abstract: This paper presents an approximate wireless communication scheme for federated learning (FL) model aggregation in the uplink transmission. We consider a realistic channel that reveals bit errors during FL model exchange in wireless networks. Our...	[]	Train
16,103	16	Title: Zero-shot Image-to-Image Translation Abstract: Large-scale text-to-image generative models have shown their remarkable ability to synthesize diverse, high-quality images. However, directly applying these models for real image editing remains challenging for two reasons. First, it is hard for users to craft a per...	[ 21890, 41988, 11655, 43911, 41102, 16783, 44177, 41874, 7955, 5779, 18586, 5119, 34074, 15901, 40606, 25117, 37537, 19618, 27426, 10788, 42020, 38696, 13609, 30638, 24494, 16696, 24763, 26429, 16833, 35907, 36168, 20426, 27850, 29389, 20174, 2068...	Train
16,104	20	Title: Smooth Distance Approximation Abstract: Traditional problems in computational geometry involve aspects that are both discrete and continuous. One such example is nearest-neighbor searching, where the input is discrete, but the result depends on distances, which vary continuously. In many real-world applications ...	[ 17387 ]	Validation
16,105	24	Title: Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model Abstract: The health monitoring of chronic diseases is very important for people with movement disorders because of their limited mobility and long duration of chronic diseases. Machine learning-based proces...	[]	Validation
16,106	30	Title: Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations Abstract: Large language models (LMs) have exhibited superior in-context learning (ICL) ability to adopt to target tasks by prompting with a few input-output demonstrations. Towards better ICL, different methods are proposed to select rep...	[ 20794, 3795, 35117 ]	Validation
16,107	31	Title: Automated Statement Extraction from Press Briefings Abstract: Scientific press briefings are a valuable information source. They consist of alternating expert speeches, questions from the audience and their answers. Therefore, they can contribute to scientific and fact-based media coverage. Even though press bri...	[]	Train
16,108	31	Title: Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation Abstract: Sequential recommendation (SR) aims to model user preferences by capturing behavior patterns from their item historical interaction data. Most existing methods model user preference in the time domain, omitting the fact that users’ b...	[]	Train
16,109	30	Title: Recent Advances in Hierarchical Multi-label Text Classification: A Survey Abstract: Hierarchical multi-label text classification aims to classify the input text into multiple labels, among which the labels are structured and hierarchical. It is a vital task in many real world applications, e.g. scientific litera...	[]	Train
16,110	13	Title: RescueSNN: enabling reliable executions on spiking neural network accelerators under permanent faults Abstract: To maximize the performance and energy efficiency of Spiking Neural Network (SNN) processing on resource-constrained embedded systems, specialized hardware accelerators/chips are employed. However, the...	[ 17578, 38388 ]	Train
16,111	24	Title: SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training Abstract: Federated learning (FL) enables the training of a model leveraging decentralized data in client sites while preserving privacy by not collecting data. However, one of the significant challenges of FL i...	[]	Test
16,112	36	Title: Characterizations of Network Auctions and Generalizations of VCG Abstract: With the growth of networks, promoting products through social networks has become an important problem. For auctions in social networks, items are needed to be sold to agents in a network, where each agent can bid and also diffuse the sa...	[]	Validation
16,113	24	Title: Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term Abstract: Deep Neural Networks (DNNs) generalization is known to be closely related to the flatness of minima, leading to the development of Sharpness-Aware Minimization (SAM) for seeking flatter minima and better generalization....	[]	Validation
16,114	3	Title: Measuring and Modeling the Free Content Web Abstract: Free content websites that provide free books, music, games, movies, etc., have existed on the Internet for many years. While it is a common belief that such websites might be different from premium websites providing the same content types, an analysis that ...	[]	Validation
16,115	24	Title: Explainable contextual anomaly detection using quantile regression forests Abstract: nan	[]	Validation
16,116	34	Title: Provably Fast and Space-Efficient Parallel Biconnectivity Abstract: Computing biconnected components (BCC) of a graph is a fundamental graph problem. The canonical parallel BCC algorithm is the Tarjan-Vishkin algorithm, which has O(n + m) optimal work and polylogarithmic span on a graph with n vertices and m edg...	[ 41034 ]	Validation
16,117	16	Title: Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction Abstract: Integrating whole-slide images (WSIs) and bulk transcriptomics for predicting patient survival can improve our understanding of patient prognosis. However, this multimodal task is particularly chall...	[ 15257 ]	Validation
16,118	16	Title: Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays Abstract: Clinical classification of chest radiography is particularly challenging for standard machine learning algorithms due to its inherent long-tailed and multi-label nature. However, few attempts take into account the coupled challeng...	[ 22276 ]	Test
16,119	16	Title: Improving Synthetically Generated Image Detection in Cross-Concept Settings Abstract: New advancements for the detection of synthetic images are critical for fighting disinformation, as the capabilities of generative AI models continuously evolve and can lead to hyper-realistic synthetic imagery at unprecedented...	[ 1688 ]	Test
16,120	30	Title: KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications Abstract: Large language models (LLMs) not only learn natural text generation abilities but also social biases against different demographic groups from real-world data. This poses a critical risk when deploying LLM...	[ 27497 ]	Train
16,121	16	Title: Weight-based Mask for Domain Adaptation Abstract: In computer vision, unsupervised domain adaptation (UDA) is an approach to transferring knowledge from a label-rich source domain to a fully-unlabeled target domain. Conventional UDA approaches have two problems. The first problem is that a class classifier can b...	[]	Train
16,122	30	Title: Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns Abstract: Bias-measuring datasets play a critical role in detecting biased behavior of language models and in evaluating progress of bias mitigation methods. In this work, we focus on evaluating gender bias through coreference resolu...	[ 35081 ]	Validation
16,123	4	Title: Anonymity Analysis of the Umbra Stealth Address Scheme on Ethereum Abstract: Stealth addresses are a privacy-enhancing technology that provides recipient anonymity on blockchains. In this work, we investigate the recipient anonymity and unlinkability guarantees of Umbra, the most widely used implementation of th...	[]	Train
16,124	16	Title: Hierarchical Spatiotemporal Transformers for Video Object Segmentation Abstract: This paper presents a novel framework called HST for semi-supervised video object segmentation (VOS). HST extracts image and video features using the latest Swin Transformer and Video Swin Transformer to inherit their inductive bias...	[]	Train
16,125	30	Title: Leveraging ChatGPT As Text Annotation Tool For Sentiment Analysis Abstract: Sentiment analysis is a well-known natural language processing task that involves identifying the emotional tone or polarity of a given piece of text. With the growth of social media and other online platforms, sentiment analysis has bec...	[ 12128, 39642 ]	Validation
16,126	16	Title: Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Abstract: The translational equivariant nature of Convolutional Neural Networks (CNNs) is a reason for its great success in computer vision. However, networks do not enjoy more general equivariance properties such as rotation...	[]	Validation
16,127	34	Title: A Note on Property Testing of the Binary Rank Abstract: ,	[]	Test
16,128	16	Title: A Fast Feature Point Matching Algorithm Based on IMU Sensor Abstract: —In simultaneous localization and mapping (SLAM), image feature point matching process consume a lot of time. The capacity of low-power systems such as embedded systems is almost limited. It is difficult to ensure the timely processing of each...	[]	Test
16,129	27	Title: Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers Abstract: Objects rarely sit in isolation in everyday human environments. If we want robots to operate and perform tasks in our human environments, they must understand how the objects they manipulate will interact ...	[]	Train
16,130	30	Title: LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model Abstract: Universally modeling all typical information extraction tasks (UIE) with one generative language model (GLM) has revealed great potential by the latest study, where various IE predictions are unified ...	[ 29346, 4707, 19172, 17642, 33932, 12941, 4750, 5107, 35220, 34358, 28822, 24601, 31034, 8895 ]	Train
16,131	23	Title: A Reference Architecture for Observability and Compliance of Cloud Native Applications Abstract: The evolution of Cloud computing led to a novel breed of applications known as Cloud-Native Applications (CNAs). However, observing and monitoring these applications can be challenging, especially if a CNA is bound b...	[]	Train
16,132	16	Title: Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Abstract: High-resolution (HR) images are usually downscaled to low-resolution (LR) ones for better display and afterward upscaled back to the original size to recover details. Recent work in image rescaling formulates downscaling and upsca...	[]	Validation
16,133	24	Title: Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion Abstract: Time Series Classification (TSC) has received much attention in the past two decades and is still a crucial and challenging problem in data science and knowledge engineering. Indeed, along with the increasing availa...	[]	Test
16,134	24	Title: Influence of various text embeddings on clustering performance in NLP Abstract: With the advent of e-commerce platforms, reviews are crucial for customers to assess the credibility of a product. The star ratings do not always match the review text written by the customer. For example, a three star rating (out of...	[]	Train
16,135	36	Title: A Unifying Formal Approach to Importance Values in Boolean Functions Abstract: Boolean functions and their representation through logics, circuits, machine learning classifiers, or binary decision diagrams (BDDs) play a central role in the design and analysis of computing systems. Quantifying the relative impact...	[ 8492 ]	Train
16,136	16	Title: Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video Abstract: Temporal modeling is crucial for multi-frame human pose estimation. Most existing methods directly employ optical flow or deformable convolution to predict full-spectrum motion fields, which might incur numerous ir...	[ 28016, 1388 ]	Train
16,137	24	Title: Correcting auto-differentiation in neural-ODE training Abstract: Does the use of auto-differentiation yield reasonable updates to deep neural networks that represent neural ODEs? Through mathematical analysis and numerical evidence, we find that when the neural network employs high-order forms to approximate the...	[ 5823 ]	Train
16,138	24	Title: Adversarial Attacks on Online Learning to Rank with Click Feedback Abstract: Online learning to rank (OLTR) is a sequential decision-making problem where a learning agent selects an ordered list of items and receives feedback through user clicks. Although potential attacks against OLTR algorithms may cause serio...	[ 3298 ]	Test
16,139	16	Title: TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement Abstract: We present a novel model for Tracking Any Point (TAP) that effectively tracks any queried point on any physical surface throughout a video sequence. Our approach employs two stages: (1) a matching stage, which independently...	[ 14504, 16521, 14956, 8206, 4444, 16927 ]	Test
16,140	27	Title: Sequential Manipulation Planning for Over-actuated UAMs Abstract: We investigate the sequential manipulation planning problem for unmanned aerial manipulators (UAMs). Unlike prior work that primarily focuses on one-step manipulation tasks, sequential manipulations require coordinated motions of a UAM's floating ...	[ 13576 ]	Train
16,141	4	Title: InversOS: Efficient Control-Flow Protection for AArch64 Applications with Privilege Inversion Abstract: With the increasing popularity of AArch64 processors in general-purpose computing, securing software running on AArch64 systems against control-flow hijacking attacks has become a critical part toward secure c...	[]	Train
16,142	27	Title: STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge Abstract: Although autonomy has gained widespread usage in structured and controlled environments, robotic autonomy in unknown and off-road terrain remains a difficult problem...	[ 44089, 386, 34299 ]	Validation
16,143	24	Title: Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model Abstract: The Origin-Destination~(OD) networks provide an estimation of the flow of people from every region to others in the city, which is an important research topic in transportation, urban simulation, etc. Given structura...	[ 31081 ]	Test
16,144	30	Title: Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models Abstract: In efforts to keep up with the rapid progress and use of large language models, gender bias research is becoming more prevalent in NLP. Non-English bias research, however, is still in its infancy with m...	[]	Train
16,145	16	Title: Masked conditional variational autoencoders for chromosome straightening Abstract: Karyotyping is of importance for detecting chromosomal aberrations in human disease. However, chromosomes easily appear curved in microscopic images, which prevents cytogeneticists from analyzing chromosome types. To address this ...	[]	Train
16,146	15	Title: TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators Abstract: Over the past few years, the explosion in sparse tensor algebra workloads has led to a corresponding rise in domain-specific accelerators to service them. Due to the irregularity present in sparse tensors, these accelerators employ ...	[ 18081 ]	Train
16,147	24	Title: Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent Abstract: Addressing the interpretability problem of NMF on Boolean data, Boolean Matrix Factorization (BMF) uses Boolean algebra to decompose the input into low-rank Boolean factor matrices. These matrices are highly interpretable and very...	[]	Train
16,148	24	Title: A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification Abstract: Recent applications of pattern recognition techniques on brain connectome classification using functional connectivity (FC) neglect the non-Euclidean topology and ca...	[]	Train
16,149	16	Title: Shi-NeSS: Detecting Good and Stable Keypoints with a Neural Stability Score Abstract: Learning a feature point detector presents a challenge both due to the ambiguity of the definition of a keypoint and correspondingly the need for a specially prepared ground truth labels for such points. In our work, we address...	[]	Validation
16,150	16	Title: Mask-Free Video Instance Segmentation Abstract: The recent advancement in Video Instance Segmentation (VIS) has largely been driven by the use of deeper and increasingly data-hungry transformer-based models. However, video masks are tedious and expensive to annotate, limiting the scale and diversity of existing ...	[ 30685, 41109, 5143 ]	Train
16,151	23	Title: Systematic Mapping of Monolithic Applications to Microservices Architecture Abstract: The aim of this paper to provide the solution microservices architecture as a popular alternative to monolithic architecture. It discusses the advantages of microservices and the challenges that organizations face when transiti...	[]	Test
16,152	34	Title: Arc-Flags Meet Trip-Based Public Transit Routing Abstract: We present Arc-Flag TB, a journey planning algorithm for public transit networks which combines Trip-Based Public Transit Routing (TB) with the Arc-Flags speedup technique. Compared to previous attempts to apply Arc-Flags to public transit networks, whic...	[]	Test
16,153	10	Title: Succinct Representations for Concepts Abstract: Foundation models like chatGPT have demonstrated remarkable performance on various tasks. However, for many questions, they may produce false answers that look accurate. How do we train the model to precisely understand the concepts? In this paper, we introduce suc...	[ 40812 ]	Test
16,154	4	Title: TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection Abstract: We propose TrojanSAINT, a graph neural network (GNN)-based hardware Trojan (HT) detection scheme working at the gate level. Unlike prior GNN-based art, TrojanSAINT enables both pre-/post-silicon HT detection...	[]	Train
16,155	5	Title: Recent Latest Message Driven GHOST: Balancing Dynamic Availability With Asynchrony Resilience Abstract: Dynamic participation has recently become a crucial requirement for devising permissionless consensus protocols. This notion, originally formalized by Pass and Shi (ASIACRYPT 2017) through their"sleepy model",...	[ 37065, 30937, 31110 ]	Train
16,156	24	Title: Data Portraits: Recording Foundation Model Training Data Abstract: Foundation models are trained on increasingly immense and opaque datasets. Even while these models are now key in AI system building, it can be difficult to answer the straightforward question: has the model already encountered a given example du...	[ 32450, 38102, 29401, 23898, 45631 ]	Test
16,157	31	Title: LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops Abstract: Multi-stakeholder recommender systems involve various roles, such as users, providers. Previous work pointed out that max-min fairness (MMF) is a better metric to support weak providers. However, when considering M...	[]	Train
16,158	16	Title: Stable Yaw Estimation of Boats from the Viewpoint of UAVs and USVs Abstract: Yaw estimation of boats from the viewpoint of unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) or boats is a crucial task in various applications such as 3D scene rendering, trajectory prediction, and navigation. How...	[ 8056 ]	Train
16,159	16	Title: Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting Abstract: Deep convolutional neural networks have achieved remarkable success in face recognition (FR), partly due to the abundant data availability. However, the current training benchmarks exhibit an imbalanced quality distribution...	[ 33804 ]	Train
16,160	24	Title: Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Abstract: The top-k operator returns a sparse vector, where the non-zero values correspond to the k largest values of the input. Unfortunately, because it is a discontinuous function, it is difficult to incorporate in neural networks trained en...	[ 11072 ]	Train
16,161	30	Title: Infor-Coef: Information Bottleneck-based Dynamic Token Downsampling for Compact and Efficient language model Abstract: The prevalence of Transformer-based pre-trained language models (PLMs) has led to their wide adoption for various natural language processing tasks. However, their excessive overhead leads to la...	[]	Train
16,162	23	Title: Investigating the Perceived Impact of Maternity on Software Engineering: a Women’s Perspective Abstract: Background: Several researchers report the impact of gender on software development teams, especially in relation to women. In general, women are under-represented on these teams and face challenges and diffi...	[]	Train
16,163	4	Title: Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses Abstract: Our research discovers how the rolling shutter and movable lens structures widely found in smartphone cameras modulate structure-borne sounds onto camera images, creating a...	[]	Train
16,164	16	Title: 3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection Abstract: 3D visual perception tasks based on multi-camera images are essential for autonomous driving systems. Latest work in this field performs 3D object detection by leveraging multi-view images as an input and iteratively enhancing o...	[ 3881, 44846, 5809, 43159, 8543 ]	Validation
16,165	16	Title: SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling Abstract: Modeling 3D avatars benefits various application scenarios such as AR/VR, gaming, and filming. Character faces contribute significant diversity and vividity as a vital component of avatars. However, buildi...	[]	Validation
16,166	30	Title: ChatGPT Participates in a Computer Science Exam Abstract: We asked ChatGPT to participate in an undergraduate computer science exam on ''Algorithms and Data Structures''. The program was evaluated on the entire exam as posed to the students. We hand-copied its answers onto an exam sheet, which was subsequently g...	[ 40192, 18306, 24994, 33220, 17542, 6535, 37225, 44173, 8591, 11476, 3509, 44246, 20185, 634, 16827 ]	Train
16,167	27	Title: SocNavGym: A Reinforcement Learning Gym for Social Navigation Abstract: It is essential for autonomous robots to be socially compliant while navigating in human-populated environments. Machine Learning and, especially, Deep Reinforcement Learning have recently gained considerable traction in the field of Social ...	[]	Train
16,168	23	Title: Unveiling the potential of large language models in generating semantic and cross-language clones Abstract: Semantic and Cross-language code clone generation may be useful for code reuse, code comprehension, refactoring and benchmarking. OpenAI's GPT model has potential in such clone generation as GPT is used fo...	[ 42647 ]	Train
16,169	24	Title: Towards Improved Illicit Node Detection with Positive-Unlabelled Learning Abstract: Detecting illicit nodes on blockchain networks is a valuable task for strengthening future regulation. Recent machine learning-based methods proposed to tackle the tasks are using some blockchain transaction datasets with a small...	[]	Train
16,170	16	Title: Self-Supervised Online Camera Calibration for Automated Driving and Parking Applications Abstract: Camera-based perception systems play a central role in modern autonomous vehicles. These camera based perception algorithms require an accurate calibration to map the real world distances to image pixels. In practi...	[]	Validation
16,171	16	Title: More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes Abstract: CLIP, as a foundational vision language model, is widely used in zero-shot image classification due to its ability to understand various visual concepts and natural language descriptions. Howeve...	[ 10624, 3777, 40610, 37987, 3590, 15463, 6346, 41104, 6801, 20562, 44988, 510 ]	Train
16,172	24	Title: Conformal Regression in Calorie Prediction for Team Jumbo-Visma Abstract: UCI WorldTour races, the premier men's elite road cycling tour, are grueling events that put physical fitness and endurance of riders to the test. The coaches of Team Jumbo-Visma have long been responsible for predicting the energy needs o...	[]	Test
16,173	9	Title: On the distribution of sensitivities of symmetric Boolean functions Abstract: A Boolean function $f({\vec x})$ is sensitive to bit $x_i$ if there is at least one input vector $\vec x$ and one bit $x_i$ in $\vec x$, such that changing $x_i$ changes $f$. A function has sensitivity $s$ if among all input vectors, t...	[]	Test
16,174	30	Title: Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs Abstract: Building cross-model intelligence that can understand charts and communicate the salient information hidden behind them is an appealing challenge in the vision and language(V+L) community. The capa...	[]	Train
16,175	23	Title: Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and Qt Communities and A Practitioner Survey Abstract: Code review is widely known as one of the best practices for software quality assurance in software development. In a typical code review process, reviewers check the code committed by deve...	[]	Train
16,176	24	Title: Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation Abstract: As growing usage of social media websites in the recent decades, the amount of news articles spreading online rapidly, resulting in an unprecedented scale of potentially fraudulent information. Althou...	[]	Train
16,177	3	Title: Where You Are Is What You Do: On Inferring Offline Activities From Location Data Abstract: Studies have shown that a person’s location can reveal to a high degree of accuracy the type of activity they are engaged in. In this paper we investigate the ability of modern machine learning algorithms in inferring basi...	[]	Train

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