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
19,178	16	Title: NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF Abstract: Remarkable progress has been made in 3D reconstruction from single-view RGB-D inputs. MCC is the current state-of-the-art method in this field, which achieves unprecedented success by combining vision Transformers with lar...	[ 11959 ]	Train
19,179	28	Title: Age of Actuation in a Wireless Power Transfer System Abstract: In this paper, we study a model relevant to semantics-aware goal-oriented communications. More specifically, observations from an external process are transmitted through status updates to a battery-powered receiver. From these updates, the receiver ...	[ 21130 ]	Train
19,180	24	Title: Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication Abstract: Optical satellite-to-ground communication (OSGC) has the potential to improve access to fast and affordable Internet in remote regions. Atmospheric turbulence, however, distorts the ...	[]	Train
19,181	16	Title: Dual Relation Alignment for Composed Image Retrieval Abstract: Composed image retrieval, a task involving the search for a target image using a reference image and a complementary text as the query, has witnessed significant advancements owing to the progress made in cross-modal modeling. Unlike the general imag...	[ 9198, 38135 ]	Validation
19,182	17	Title: Generative Adversarial Shaders for Real-Time Realism Enhancement Abstract: Application of realism enhancement methods, particularly in real‐time and resource‐constrained settings, has been frustrated by the expense of existing methods. These achieve high quality results only at the cost of long runtimes and high...	[ 16103 ]	Test
19,183	37	Title: Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing Abstract: Recursive queries and recursive derived tables constitute an important part of the SQL standard. Their efficient processing is important for many real-life applications that rely on graph or hierarchy ...	[]	Train
19,184	16	Title: D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts Abstract: We present D$^2$CSG, a neural model composed of two dual and complementary network branches, with dropouts, for unsupervised learning of compact constructive solid geometry (CSG) representations of 3D CAD shapes. Ou...	[]	Validation
19,185	30	Title: Transforming Sentiment Analysis in the Financial Domain with ChatGPT Abstract: Financial sentiment analysis plays a crucial role in decoding market trends and guiding strategic trading decisions. Despite the deployment of advanced deep learning techniques and language models to refine sentiment analysis in finan...	[ 24308 ]	Train
19,186	10	Title: Distributed Swarm Intelligence Abstract: This paper presents the development of a distributed application that facilitates the understanding and application of swarm intelligence in solving optimization problems. The platform comprises a search space of customizable random particles, allowing users to tailor the...	[]	Train
19,187	24	Title: Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting Abstract: This paper presents a post hoc analysis of a deep learning-based full-disk solar flare prediction model. We used hourly full-disk line-of-sight magnetogram images and selected binary prediction mo...	[ 41652, 32679 ]	Train
19,188	23	Title: RefSearch: A Search Engine for Refactoring Abstract: Developers often refactor source code to improve its quality during software development. A challenge in refactoring is to determine if it can be applied or not. To help with this decision-making process, we aim to search for past refactoring cases that are si...	[]	Validation
19,189	4	Title: Benchmarking the Security Protocol and Data Model (SPDM) for component authentication Abstract: Efforts to secure computing systems via software traditionally focus on the operating system and application levels. In contrast, the Security Protocol and Data Model (SPDM) tackles firmware level security challenges,...	[]	Train
19,190	34	Title: Parameterized Lower Bounds for Problems in P via Fine-Grained Cross-Compositions Abstract: We provide a general framework to exclude parameterized running times of the form $O(\ell^\beta+ n^\gamma)$ for problems that have polynomial running time lower bounds under hypotheses from fine-grained complexity. Our fra...	[]	Validation
19,191	28	Title: Stochastic Geometry Based Modeling and Analysis on Network NOMA in Downlink CoMP Systems Abstract: This paper investigates the performance of network non-orthogonal multiple access (N-NOMA) in a downlink coordinated multi-point (CoMP) system. In the considered N-NOMA scheme, multiple base stations (BSs) cooperat...	[]	Test
19,192	24	Title: On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures Abstract: Risk-sensitive reinforcement learning (RL) has become a popular tool to control the risk of uncertain outcomes and ensure reliable performance in various sequential decision-making problems. While p...	[ 33549 ]	Train
19,193	16	Title: Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes Abstract: 3D human pose estimation in outdoor environments has garnered increasing attention recently. However, prevalent 3D human pose datasets pertaining to outdoor scenes lack diversity, as they predominantly utilize onl...	[ 40628 ]	Train
19,194	6	Title: Understanding the Uncertainty Loop of Human-Robot Interaction Abstract: Recently the field of Human-Robot Interaction gained popularity, due to the wide range of possibilities of how robots can support humans during daily tasks. One form of supportive robots are socially assistive robots which are specifically b...	[ 6670 ]	Train
19,195	23	Title: Supporting single responsibility through automated extract method refactoring Abstract: The responsibility of a method/function is to perform some desired computations and disseminate the results to its caller through various deliverables, including object fields and variables in output instructions. Based on th...	[]	Train
19,196	27	Title: Sparse Waypoint Validity Checking for Self-Entanglement-Free Tethered Path Planning Abstract: A novel mechanism to derive self-entanglement-free (SEF) path for tethered differential-driven robots is proposed in this work. The problem is tailored to the deployment of tethered differential-driven robots in situati...	[]	Train
19,197	23	Title: Ownership in the Hands of Accountability at Brightsquid - A Case Study and a Developer Survey Abstract: The COVID-19 pandemic has accelerated the adoption of digital health solutions. This has presented significant challenges for software development teams to swiftly adjust to the market need and demand. To addr...	[]	Train
19,198	10	Title: A sequential transit network design algorithm with optimal learning under correlated beliefs Abstract: Mobility service route design requires potential demand information to well accommodate travel demand within the service region. Transit planners and operators can access various data sources including househol...	[]	Test
19,199	25	Title: Masked Audio Text Encoders are Effective Multi-Modal Rescorers Abstract: Masked Language Models (MLMs) have proven to be effective for second-pass rescoring in Automatic Speech Recognition (ASR) systems. In this work, we propose Masked Audio Text Encoder (MATE), a multi-modal masked language model rescorer which...	[ 4539 ]	Train
19,200	30	Title: Enhancing Coherence of Extractive Summarization with Multitask Learning Abstract: This study proposes a multitask learning architecture for extractive summarization with coherence boosting. The architecture contains an extractive summarizer and coherent discriminator module. The coherent discriminator is trained...	[ 18441 ]	Test
19,201	24	Title: Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Abstract: Reinforcement Learning (RL) environments can produce training data with spurious correlations between features due to the amount of training data or its limited feature coverage. This can lead to RL agents encodin...	[ 13781 ]	Train
19,202	24	Title: Deep learning based black spot identification on Greek road networks Abstract: Black spot identification, a spatiotemporal phenomenon, involves analysing the geographical location and time-based occurrence of road accidents. Typically, this analysis examines specific locations on road networks during set time pe...	[]	Train
19,203	16	Title: Three-dimensional reconstruction and characterization of bladder deformations Abstract: Pelvic floor disorders are prevalent diseases and only 2D dynamic observations of straining exercises at excretion are available in clinics. The understanding of three-dimensional pelvic organs mechanical defects is not yet a...	[]	Train
19,204	16	Title: See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data Abstract: Zero-shot point cloud segmentation aims to make deep models capable of recognizing novel objects in point cloud that are unseen in the training phase. Recent trends favor the pipeline which transfers knowledge from s...	[ 32662, 9606, 22767 ]	Train
19,205	15	Title: NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM Abstract: With the widespread use of deep neural networks(DNNs) in intelligent systems, DNN accelerators with high performance and energy efficiency are greatly demanded. As one of the feasible processing-in-memory(P...	[]	Train
19,206	16	Title: EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding Abstract: Recent advances in egocentric video understanding models are promising, but their heavy computational expense is a barrier for many real-world applications. To address this challenge, we propose EgoDistill, a distillation...	[ 15035, 16547 ]	Train
19,207	28	Title: Grant-Free Random Access of IoT devices in Massive MIMO with Partial CSI Abstract: The number of wireless devices is drastically increasing, resulting in many devices contending for radio resources. In this work, we present an algorithm to detect active devices for unsourced random access, i.e., the devices are ...	[]	Train
19,208	24	Title: Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning Abstract: Diagnosis of adverse neonatal outcomes is crucial for preterm survival since it enables doctors to provide timely treatment. Machine learning (ML) algorithms have been demonstrated to be effective in predicting adverse n...	[]	Test
19,209	16	Title: Self-supervised dense representation learning for live-cell microscopy with time arrow prediction Abstract: State-of-the-art object detection and segmentation methods for microscopy images rely on supervised machine learning, which requires laborious manual annotation of training data. Here we present a self-sup...	[]	Train
19,210	24	Title: Can Forward Gradient Match Backpropagation? Abstract: Forward Gradients - the idea of using directional derivatives in forward differentiation mode - have recently been shown to be utilizable for neural network training while avoiding problems generally associated with backpropagation gradient computation, such ...	[ 6225 ]	Train
19,211	16	Title: Query-Efficient Decision-Based Black-Box Patch Attack Abstract: Deep neural networks (DNNs) have been showed to be highly vulnerable to imperceptible adversarial perturbations. As a complementary type of adversary, patch attacks that introduce perceptible perturbations to the images have attracted the interest o...	[ 42771, 5619, 2453, 17878, 13272 ]	Train
19,212	27	Title: A Survey of research in Deep Learning for Robotics for Undergraduate research interns Abstract: Over the last several years, use cases for robotics based solutions have diversified from factory floors to domestic applications. In parallel, Deep Learning approaches are replacing traditional techniques in Computer...	[]	Train
19,213	16	Title: Iranian License Plate Recognition Using a Reliable Deep Learning Approach Abstract: The issue of Automatic License Plate Recognition (ALPR) has been one of the most challenging issues in recent years. Weather conditions, camera angle of view, lighting conditions, different characters written on license plates, a...	[]	Validation
19,214	38	Title: Is disruption decreasing, or is it accelerating? Abstract: A recent highly-publicized study by Park et al. (Nature 613: 138-144, 2023), claiming that science has become less disruptive over recent decades, represents an extraordinary achievement but with deceptive results. The measure of disruption, CD-5, in thi...	[ 20664 ]	Test
19,215	4	Title: Active External Calls for Blockchain and Distributed Ledger Technologies: Debunking cited inability of Blockchain and DLT to make external calls Abstract: Blockchain and other distributed ledger technologies have enabled peer-to-peer networks to maintain ledgers with an immutable history and guaranteed computati...	[]	Train
19,216	24	Title: A Rational Model of Dimension-reduced Human Categorization Abstract: Existing models in cognitive science typically assume human categorization as graded generalization behavior in a multidimensional psychological space. However, category representations in these models may suffer from the curse of dimensionalit...	[]	Test
19,217	24	Title: Debiased Distillation by Transplanting the Last Layer Abstract: Deep models are susceptible to learning spurious correlations, even during the post-processing. We take a closer look at the knowledge distillation -- a popular post-processing technique for model compression -- and find that distilling with biased ...	[]	Test
19,218	27	Title: Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning Abstract: Precise robotic grasping of several novel objects is a huge challenge in manufacturing, automation, and logistics. Most of the current methods for model-free grasping are disadvantaged by the sparse data in grasping datasets...	[]	Test
19,219	31	Title: Timestamps as Prompts for Geography-Aware Location Recommendation Abstract: Location recommendation plays a vital role in improving users' travel experience. The timestamp of the POI to be predicted is of great significance, since a user will go to different places at different times. However, most existing meth...	[]	Test
19,220	16	Title: HandNeRF: Neural Radiance Fields for Animatable Interacting Hands Abstract: We propose a novel framework to reconstruct accurate appearance and geometry with neural radiance fields (NeRF) for interacting hands, enabling the rendering of photo-realistic images and videos for gesture animation from arbitrary views...	[]	Validation
19,221	24	Title: Learning To Dive In Branch And Bound Abstract: Primal heuristics are important for solving mixed integer linear programs, because they find feasible solutions that facilitate branch and bound search. A prominent group of primal heuristics are diving heuristics. They iteratively modify and resolve linear programs...	[]	Train
19,222	24	Title: Precipitation nowcasting with generative diffusion models Abstract: In recent years traditional numerical methods for accurate weather prediction have been increasingly challenged by deep learning methods. Numerous historical datasets used for short and medium-range weather forecasts are typically organized into...	[ 36641, 40375 ]	Validation
19,223	27	Title: Proximity and Visuotactile Point Cloud Fusion for Contact Patches in Extreme Deformation Abstract: Equipping robots with the sense of touch is critical to emulating the capabilities of humans in real world manipulation tasks. Visuotactile sensors are a popular tactile sensing strategy due to data output compatib...	[ 28542 ]	Validation
19,224	24	Title: Adaptive Experimentation at Scale: A Computational Framework for Flexible Batches Abstract: Standard bandit algorithms that assume continual reallocation of measurement effort are challenging to implement due to delayed feedback and infrastructural/organizational difficulties. Motivated by practical instances in...	[]	Test
19,225	30	Title: Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems Abstract: Transferring the knowledge of large language models (LLMs) is a promising technique to incorporate linguistic knowledge into end-to-end automatic speech recognition (ASR) systems. However, existing works only transfer...	[ 37275, 33220, 8015 ]	Train
19,226	30	Title: JSEEGraph: Joint Structured Event Extraction as Graph Parsing Abstract: We propose a graph-based event extraction framework JSEEGraph that approaches the task of event extraction as general graph parsing in the tradition of Meaning Representation Parsing. It explicitly encodes entities and events in a single sem...	[]	Test
19,227	34	Title: Incremental $(1-\epsilon)$-approximate dynamic matching in $O(poly(1/\epsilon))$ update time Abstract: In the dynamic approximate maximum bipartite matching problem we are given bipartite graph $G$ undergoing updates and our goal is to maintain a matching of $G$ which is large compared the maximum matching size ...	[ 34863 ]	Train
19,228	24	Title: Ensemble Reinforcement Learning: A Survey Abstract: Reinforcement Learning (RL) has emerged as a highly effective technique for addressing various scientific and applied problems. Despite its success, certain complex tasks remain challenging to be addressed solely with a single model and algorithm. In response, ...	[]	Train
19,229	10	Title: Rounding Meets Approximate Model Counting Abstract: The problem of model counting, also known as #SAT, is to compute the number of models or satisfying assignments of a given Boolean formula $F$. Model counting is a fundamental problem in computer science with a wide range of applications. In recent years, there...	[]	Train
19,230	30	Title: The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature Abstract: The application of Large Language Models (LLMs) to the medical domain has stimulated the interest of researchers. Recent studies have focused on constructing Instruction Fine-Tuning (IFT) data through med...	[ 33220, 13700, 31218, 2102, 11614 ]	Train
19,231	25	Title: DISCO-10M: A Large-Scale Music Dataset Abstract: Music datasets play a crucial role in advancing research in machine learning for music. However, existing music datasets suffer from limited size, accessibility, and lack of audio resources. To address these shortcomings, we present DISCO-10M, a novel and extensiv...	[ 13186 ]	Train
19,232	10	Title: Humans in Humans Out: On GPT Converging Toward Common Sense in both Success and Failure Abstract: Increase in computational scale and fine-tuning has seen a dramatic improvement in the quality of outputs of large language models (LLMs) like GPT. Given that both GPT-3 and GPT-4 were trained on large quantities of...	[ 21794, 33220, 22374, 13510, 34956, 44246, 32410 ]	Validation
19,233	10	Title: Leveraging Contextual Relatedness to Identify Suicide Documentation in Clinical Notes through Zero Shot Learning Abstract:  Abstract — Objectives: Identifying suicidality including suicidal ideation, attempts, and risk factors in electronic health record data in clinical notes is difficult. A major difficulty i...	[]	Train
19,234	16	Title: CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation Abstract: Audio-visual video segmentation~(AVVS) aims to generate pixel-level maps of sound-producing objects within image frames and ensure the maps faithfully adhere to the given audio, such as identifying and segmenti...	[ 6560, 17633, 12870, 7148, 21549 ]	Test
19,235	16	Title: FireFly A Synthetic Dataset for Ember Detection in Wildfire Abstract: This paper presents"FireFly", a synthetic dataset for ember detection created using Unreal Engine 4 (UE4), designed to overcome the current lack of ember-specific training resources. To create the dataset, we present a tool that allows the aut...	[]	Train
19,236	27	Title: Agility and Target Distribution in the Dynamic Stochastic Traveling Salesman Problem Abstract: An important variant of the classic Traveling Salesman Problem (TSP) is the Dynamic TSP, in which a system with dynamic constraints is tasked with visiting a set of n target locations (in any order) in the shortest amo...	[]	Train
19,237	10	Title: Precursor-of-Anomaly Detection for Irregular Time Series Abstract: Anomaly detection is an important field that aims to identify unexpected patterns or data points, and it is closely related to many real-world problems, particularly to applications in finance, manufacturing, cyber security, and so on. While anom...	[]	Train
19,238	24	Title: A Survey on Efficient Training of Transformers Abstract: Recent advances in Transformers have come with a huge requirement on computing resources, highlighting the importance of developing efficient training techniques to make Transformer training faster, at lower cost, and to higher accuracy by the efficient us...	[ 13700, 41704, 39628, 23767, 15129 ]	Validation
19,239	24	Title: Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning Abstract: Contrastive loss has been increasingly used in learning representations from multiple modalities. In the limit, the nature of the contrastive loss encourages modalities to exactly match each other in the la...	[]	Validation
19,240	15	Title: A multithread AES accelerator for Cyber-Physical Systems Abstract: Computing elements of CPSs must be flexible to ensure interoperability; and adaptive to cope with the evolving internal and external state, such as battery level and critical tasks. Cryptography is a common task needed in CPSs to guarantee privat...	[]	Train
19,241	24	Title: High-dimensional multi-view clustering methods Abstract: Multi-view clustering has been widely used in recent years in comparison to single-view clustering, for clear reasons, as it offers more insights into the data, which has brought with it some challenges, such as how to combine these views or features. Most...	[]	Train
19,242	10	Title: GeoFault: A well-founded fault ontology for interoperability in geological modeling Abstract: Geological modeling currently uses various computer-based applications. Data harmonization at the semantic level by means of ontologies is essential for making these applications interoperable. Since geo-modeling is cur...	[]	Validation
19,243	24	Title: SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series Abstract: Time series classification (TSC) has emerged as a critical task in various domains, and deep neural models have shown superior performance in TSC tasks. However, these models are vulnerable to adversarial attacks, where subtle...	[ 40233, 33862 ]	Train
19,244	27	Title: User Feedback and Sample Weighting for Ill-Conditioned Hand-Eye Calibration Abstract: Hand-eye calibration is an important and extensively researched method for calibrating rigidly coupled sensors, solely based on estimates of their motion. Due to the geometric structure of this problem, at least two motion esti...	[]	Train
19,245	27	Title: External Camera-Based Mobile Robot Pose Estimation for Collaborative Perception with Smart Edge Sensors Abstract: We present an approach for estimating a mobile robot's pose w.r.t. the allocentric coordinates of a network of static cameras using multi-view RGB images. The images are processed online, locally on ...	[]	Train
19,246	16	Title: MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing Abstract: The existing multi-modal face anti-spoofing (FAS) frameworks are designed based on two strategies: halfway and late fusion. However, the former requires test modalities consistent with the training input, which seriously limits its de...	[ 18995, 19789, 1989, 15078 ]	Train
19,247	9	Title: Marriage and Roommate Abstract: This paper has two objectives. One is to give a linear time algorithm that solves the stable roommates problem (i.e., obtains one stable matching) using the stable marriage problem. The idea is that a stable matching of a roommate instance [Formula: see text] is a stable matching ...	[]	Validation
19,248	24	Title: Deep learning for classification of noisy QR codes Abstract: We wish to define the limits of a classical classification model based on deep learning when applied to abstract images, which do not represent visually identifiable objects.QR codes (Quick Response codes) fall into this category of abstract images: on...	[]	Train
19,249	16	Title: Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Abstract: Large text-to-image models have shown remarkable performance in synthesizing high-quality images. In particular, the subject-driven model makes it possible to personalize the image synthesis for a specific subject, e.g., a huma...	[ 22886, 12394, 27059, 45851, 41084, 29245 ]	Validation
19,250	30	Title: DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction Abstract: We study the problem of decomposing a complex text-to-sql task into smaller sub-tasks and how such a decomposition can significantly improve the performance of Large Language Models (LLMs) in the reasoning process. There is cur...	[ 28221, 24901, 43327, 2375, 35400, 11757, 1326, 36494, 11476, 9143, 26393, 32730, 26748, 38077, 26847 ]	Train
19,251	30	Title: "A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation Abstract: Quality Estimation (QE) is the task of evaluating the quality of a translation when reference translation is not available. The goal of QE aligns with the task of corpus filtering, where we assign the ...	[ 16408 ]	Train
19,252	10	Title: Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)? Abstract: Much discussion about large language models and language-and-vision models has focused on whether these models are intelligent agents. We present an alternative perspective. We argue that ...	[ 36528, 21401, 16837 ]	Train
19,253	10	Title: Clinical BioBERT Hyperparameter Optimization using Genetic Algorithm Abstract: Clinical factors account only for a small portion, about 10-30%, of the controllable factors that affect an individual's health outcomes. The remaining factors include where a person was born and raised, where he/she pursued their edu...	[]	Train
19,254	6	Title: Towards Visualization Thumbnail Designs that Entice Reading Data-driven Articles Abstract: As online news increasingly include data journalism, there is a corresponding increase in the incorporation of visualization in article thumbnail images. However, little research exists on the design rationale for visualiz...	[]	Test
19,255	6	Title: Taking Advice from ChatGPT Abstract: A growing literature studies how humans incorporate advice from algorithms. This study examines an algorithm with millions of daily users: ChatGPT. In a preregistered study, 118 student participants answer 2,828 multiple-choice questions across 25 academic subjects. Participa...	[ 19297, 13510, 1899, 12305, 39413, 16827, 6942 ]	Validation
19,256	1	Title: End-Edge Coordinated Joint Encoding and Neural Enhancement for Low-Light Video Analytics Abstract: In this paper, we investigate video analytics in low-light environments, and propose an end-edge coordinated system with joint video encoding and enhancement. It adaptively transmits low-light videos from cameras a...	[ 15736, 38267, 39511 ]	Validation
19,257	4	Title: VetIoT: On Vetting IoT Defenses Enforcing Policies at Runtime Abstract: Smart homes are powered by numerous programmable IoT platforms. Despite tremendous innovations, these platforms often suffer from safety and security issues. One class of defense solutions dynamically enforces safety and security policies, w...	[ 404 ]	Validation
19,258	16	Title: DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects Abstract: Unsupervised methods for reconstructing structures face significant challenges in capturing the geometric details with consistent structures among diverse shapes of the same c...	[]	Train
19,259	24	Title: A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization Abstract: In this paper, we extend original Neural Collapse Phenomenon by proving Generalized Neural Collapse hypothesis. We obtain Grassmannian Frame structure from the optimization and generalization of classification. This str...	[ 40144, 27209 ]	Train
19,260	28	Title: Sum-Rate Maximization for Active RIS-Aided Downlink RSMA System Abstract: In this paper, the problem of sum-rate maximization for an active reconfigurable intelligent surface (RIS) assisted downlink rate-splitting multiple access (RSMA) transmission system is studied. In the considered model, the active RIS is d...	[ 18208 ]	Validation
19,261	24	Title: Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression Abstract: Multiple sclerosis is a disease that affects the brain and spinal cord, it can lead to severe disability and has no known cure. The majority of prior work in machine learning for multiple sclerosis has been centered aroun...	[]	Test
19,262	24	Title: Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information Abstract: Experimental data is often comprised of variables measured independently, at different sampling rates (non-uniform ${\Delta}$t between successive measurements); and at a sp...	[]	Validation
19,263	16	Title: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities Abstract: In this work, we explore a scalable way for building a general representation model toward unlimited modalities. We release ONE-PEACE, a highly extensible model with 4B parameters that can seamlessly align and integrate r...	[ 10624, 4643, 37987, 11781, 33220, 30243, 32423, 37070, 13935, 41104, 5361, 27572, 17109, 29559, 23545, 13564, 30745, 41183 ]	Train
19,264	24	Title: Multiple Instance Learning with Trainable Decision Tree Ensembles Abstract: A new random forest based model for solving the Multiple Instance Learning (MIL) problem under small tabular data, called Soft Tree Ensemble MIL (STE-MIL), is proposed. A new type of soft decision trees is considered, which is similar to...	[ 17565 ]	Validation
19,265	30	Title: An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog System Abstract: Reinforcement learning has been applied to train the dialog systems in many works. Previous approaches divide the dialog system into multiple modules including DST (dialog state tracking) and DP (dialog policy), a...	[]	Validation
19,266	9	Title: Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves Abstract: Algorithmicists are well-aware that fast dynamic programming algorithms are very often the correct choice when computing on compositional (or even recursive) graphs. Here we initiate the study of how to generalize this folkl...	[]	Train
19,267	4	Title: Holo-Block Chain: A Hybrid Approach for Secured IoT Healthcare Ecosystem Abstract: The Internet-of-Things (IoT) is an imminent and corporal technology that enables the connectivity of smart physical devices with virtual objects contriving in distinct platforms with the help of the internet. The IoT is under mass...	[]	Train
19,268	16	Title: Analogy-Forming Transformers for Few-Shot 3D Parsing Abstract: We present Analogical Networks, a model that encodes domain knowledge explicitly, in a collection of structured labelled 3D scenes, in addition to implicitly, as model parameters, and segments 3D object scenes with analogical reasoning: instead of ma...	[]	Train
19,269	16	Title: Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation Abstract: Most modern image-based 6D object pose estimation methods learn to predict 2D-3D correspondences, from which the pose can be obtained using a PnP solver. Because of the non-differentiable nature of common PnP solvers, these methods ar...	[ 36257 ]	Test
19,270	24	Title: Nearest Neighbour with Bandit Feedback Abstract: In this paper we adapt the nearest neighbour rule to the contextual bandit problem. Our algorithm handles the fully adversarial setting in which no assumptions at all are made about the data-generation process. When combined with a sufficiently fast data-structure...	[]	Train
19,271	16	Title: For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal Abstract: In recent years, increasing attention has been directed to leveraging pre-trained vision models for motor control. While existing works mainly emphasize the importance of this pre-training phase, the argua...	[ 29084, 8214 ]	Train
19,272	16	Title: Rethinking Local Perception in Lightweight Vision Transformer Abstract: Vision Transformers (ViTs) have been shown to be effective in various vision tasks. However, resizing them to a mobile-friendly size leads to significant performance degradation. Therefore, developing lightweight vision transformers has beco...	[]	Train
19,273	7	Title: Unraveling Managerial Tangents in Firm Disclosure: Concealing Issues or Being Exposed? Abstract: Earnings calls influence stock prices and are traditionally analyzed using sentiment and linguistic traces. Our research introduces a"Topic-Switching Index,"a novel metric quantified through the transformer model Fin...	[]	Train
19,274	6	Title: Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning Abstract: Electroencephalography-to-Text generation (EEG-to-Text), which aims to directly generate natural text from EEG signals has drawn increasing attention in recent years due to the enormous potential ...	[]	Test
19,275	24	Title: Online Recommendations for Agents with Discounted Adaptive Preferences Abstract: For domains in which a recommender provides repeated content suggestions, agent preferences may evolve over time as a function of prior recommendations, and algorithms must take this into account for long-run optimization. Recently,...	[ 28802, 34046 ]	Validation
19,276	5	Title: Diffusion-based Time Series Data Imputation for Microsoft 365 Abstract: Reliability is extremely important for large-scale cloud systems like Microsoft 365. Cloud failures such as disk failure, node failure, etc. threaten service reliability, resulting in online service interruptions and economic loss. Existing ...	[]	Train
19,277	27	Title: MissBeamNet: Learning Missing Doppler Velocity Log Beam Measurements Abstract: One of the primary means of sea exploration is autonomous underwater vehicles (AUVs). To perform these tasks, AUVs must navigate the rough challenging sea environment. AUVs usually employ an inertial navigation system (INS), aided by ...	[]	Train

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.