node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
19,978 | 24 | Title: Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
Abstract: Double descent is a surprising phenomenon in machine learning, in which as the number of model parameters grows relative to the number of data, test error drops as models grow ever larger into the hig... | [] | Train |
19,979 | 24 | Title: Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes
Abstract: Finding the distribution of the velocities and pressures of a fluid (by solving the Navier-Stokes equations) is a principal task in the chemical, energy, and pharmaceutical industries, as well as in m... | [
33636
] | Train |
19,980 | 23 | Title: CCT5: A Code-Change-Oriented Pre-Trained Model
Abstract: Software is constantly changing, requiring developers to perform several derived tasks in a timely manner, such as writing a description for the intention of the code change, or identifying the defect-prone code changes. Considering that the cost of dealin... | [] | Train |
19,981 | 16 | Title: The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence
Abstract: Artificial intelligence (AI), specifically a branch of AI called deep learning (DL), has proven revolutionary developments in almost all fields, from computer vision to health sciences, and its effects in medici... | [] | Train |
19,982 | 17 | Title: CTSN: Predicting Cloth Deformation for Skeleton-based Characters with a Two-stream Skinning Network
Abstract: We present a novel learning method to predict the cloth deformation for skeleton-based characters with a two-stream network. The characters processed in our approach are not limited to humans, and can be... | [] | Train |
19,983 | 16 | Title: Album Storytelling with Iterative Story-aware Captioning and Large Language Models
Abstract: This work studies how to transform an album to vivid and coherent stories, a task we refer to as"album storytelling". While this task can help preserve memories and facilitate experience sharing, it remains an underexplo... | [
30243,
13700,
17061,
35556,
45242,
38102,
3609,
634,
13564,
1854
] | Train |
19,984 | 20 | Title: Dynamic Euclidean Bottleneck Matching
Abstract: A fundamental question in computational geometry is for a set of input points in the Euclidean space, that is subject to discrete changes (insertion/deletion of points at each time step), whether it is possible to maintain an approximate bottleneck matching in subl... | [] | Train |
19,985 | 30 | Title: R\'esum\'e Parsing as Hierarchical Sequence Labeling: An Empirical Study
Abstract: Extracting information from r\'esum\'es is typically formulated as a two-stage problem, where the document is first segmented into sections and then each section is processed individually to extract the target entities. Instead, w... | [] | Train |
19,986 | 24 | Title: Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment
Abstract: Resource-intensive computations are a major factor that limits the e ff ectiveness of automated machine learning solutions. In the paper, we propose a modular approach that can be used to increase the quality ... | [] | Validation |
19,987 | 23 | Title: Designing Laboratory Notebooks for Managing Software-based Scientific Studies
Abstract: Scientific processes rely on software as an important tool for data acquisition, analysis, and discovery. Over the years sustainable software development practices have made progress in being considered as an integral compone... | [] | Train |
19,988 | 28 | Title: Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics
Abstract: In this paper, we consider sampling an Ornstein-Uhlenbeck (OU) process through a channel for remote estimation. The goal is to minimize the mean square error (MSE) at the estimator under a samp... | [] | Validation |
19,989 | 3 | Title: What We Know So Far: Artificial Intelligence in African Healthcare
Abstract: Healthcare in Africa is a complex issue influenced by many factors including poverty, lack of infrastructure, and inadequate funding. However, Artificial intelligence (AI) applied to healthcare, has the potential to transform healthcare... | [] | Train |
19,990 | 24 | Title: Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
Abstract: Prediction of taxi service demand and supply is essential for improving customer's experience and provider's profit. Recently, graph neural networks (GNNs) have been shown prom... | [
11630
] | Train |
19,991 | 24 | Title: Adaptive Weight Assignment Scheme For Multi-task Learning
Abstract: Deep learning based models are used regularly in every applications nowadays. Gen- erally we train a single model on a single task. However, we can train multiple tasks on a single model under multi-task learning (MTL) settings. This provides us... | [] | Test |
19,992 | 27 | Title: A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles
Abstract: Underwater target localization using range-only and single-beacon (ROSB) techniques with autonomous vehicles has been used recently to improve the limitations of more complex methods, ... | [] | Validation |
19,993 | 24 | Title: Stability and Generalization of Hypergraph Collaborative Networks
Abstract: Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples. Recently, there have been several successful proposals to generalize graph neural networks to hypergraph neural networks to ex... | [] | Train |
19,994 | 16 | Title: Robust face anti-spoofing framework with Convolutional Vision Transformer
Abstract: Owing to the advances in image processing technology and large-scale datasets, companies have implemented facial authentication processes, thereby stimulating increased focus on face anti-spoofing (FAS) against realistic presenta... | [
17254
] | Validation |
19,995 | 24 | Title: HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Abstract: Genomic (DNA) sequences encode an enormous amount of information for gene regulation and protein synthesis. Similar to natural language models, researchers have proposed foundation models in genomics to learn generalizable f... | [
26208,
42064,
43144
] | Test |
19,996 | 24 | Title: Building Transportation Foundation Model via Generative Graph Transformer
Abstract: Efficient traffic management is crucial for maintaining urban mobility, especially in densely populated areas where congestion, accidents, and delays can lead to frustrating and expensive commutes. However, existing prediction me... | [
32869,
30071
] | Test |
19,997 | 5 | Title: Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL
Abstract: Ranging from NVIDIA GPUs to AMD GPUs and Intel GPUs: Given the heterogeneity of available accelerator cards within current supercomputers, portability is a key aspect for modern HPC application... | [
35562
] | Test |
19,998 | 16 | Title: Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation
Abstract: In recent years, several Weakly Supervised Semantic Segmentation (WS3) methods have been proposed that use class activation maps (CAMs) generated by a classifier to produce pseudo-ground tru... | [
35805
] | Train |
19,999 | 2 | Title: Probabilistic Guarded KAT Modulo Bisimilarity: Completeness and Complexity
Abstract: We introduce Probabilistic Guarded Kleene Algebra with Tests (ProbGKAT), an extension of GKAT that allows reasoning about uninterpreted imperative programs with probabilistic branching. We give its operational semantics in terms... | [
6685,
4359
] | Test |
20,000 | 27 | Title: Model-Based Pose Estimation of Steerable Catheters under Bi-Plane Image Feedback
Abstract: Small catheters undergo significant torsional deflections during endovascular interventions. A key challenge in enabling robot control of these catheters is the estimation of their bending planes. This paper considers appr... | [] | Test |
20,001 | 16 | Title: V3Det: Vast Vocabulary Visual Detection Dataset
Abstract: Recent advances in detecting arbitrary objects in the real world are trained and evaluated on object detection datasets with a relatively restricted vocabulary. To facilitate the development of more general visual object detection, we propose V3Det, a vas... | [
24653,
27860,
18621,
7750
] | Train |
20,002 | 13 | Title: AutoOptLib: A Library of Automatically Designing Metaheuristic Optimization Algorithms in MATLAB
Abstract: Metaheuristic algorithms are widely-recognized solvers for challenging optimization problems with multi-modality, discretization, large-scale, multi-objectivity, etc. Automatically designing metaheuristic a... | [
39628
] | Train |
20,003 | 16 | Title: Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization
Abstract: Fine-grained visual categorization (FGVC) is a challenging task due to similar visual appearances between various species. Previous studies always implicitly assume that the training and... | [
31321
] | Validation |
20,004 | 24 | Title: Functional Flow Matching
Abstract: In this work, we propose Functional Flow Matching (FFM), a function-space generative model that generalizes the recently-introduced Flow Matching model to operate directly in infinite-dimensional spaces. Our approach works by first defining a path of probability measures that i... | [
24904,
27257,
30402
] | Test |
20,005 | 10 | Title: Optimizing Carbon Storage Operations for Long-Term Safety
Abstract: To combat global warming and mitigate the risks associated with climate change, carbon capture and storage (CCS) has emerged as a crucial technology. However, safely sequestering CO2 in geological formations for long-term storage presents severa... | [] | Train |
20,006 | 34 | Title: Induced-Minor-Free Graphs: Separator Theorem, Subexponential Algorithms, and Improved Hardness of Recognition
Abstract: A graph $G$ contains a graph $H$ as an induced minor if $H$ can be obtained from $G$ by vertex deletions and edge contractions. The class of $H$-induced-minor-free graphs generalizes the class ... | [
17955
] | Test |
20,007 | 16 | Title: MoViT: Memorizing Vision Transformers for Medical Image Analysis
Abstract: The synergy of long-range dependencies from transformers and local representations of image content from convolutional neural networks (CNNs) has led to advanced architectures and increased performance for various medical image analysis t... | [] | Train |
20,008 | 16 | Title: LostNet: A smart way for lost and find
Abstract: Due to the enormous population growth of cities in recent years, objects are frequently lost and unclaimed on public transportation, in restaurants, or any other public areas. While services like Find My iPhone can easily identify lost electronic devices, more val... | [] | Train |
20,009 | 24 | Title: Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
Abstract: The rapid progress of Artificial Intelligence research came with the development of increasingly complex deep learning models, leading to growing challenges in terms of computational complexity, energy efficiency and interpr... | [
2714,
7501
] | Train |
20,010 | 16 | Title: UniVTG: Towards Unified Video-Language Temporal Grounding
Abstract: Video Temporal Grounding (VTG), which aims to ground target clips from videos (such as consecutive intervals or disjoint shots) according to custom language queries (e.g., sentences or words), is key for video browsing on social media. Most meth... | [
44496,
20169,
14466,
24415
] | Validation |
20,011 | 24 | Title: gRoMA: a Tool for Measuring Deep Neural Networks Global Robustness
Abstract: Deep neural networks (DNNs) are at the forefront of cutting-edge technology, and have been achieving remarkable performance in a variety of complex tasks. Nevertheless, their integration into safety-critical systems, such as in the aero... | [] | Train |
20,012 | 15 | Title: RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required!
Abstract: Processing-In-Memory (PIM) accelerators have the potential to efficiently run Deep Neural Network (DNN) inference by reducing costly data movement and by using resistive RAM (ReRAM) for effi... | [] | Validation |
20,013 | 27 | Title: Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors
Abstract: Picking cluttered general objects is a challenging task due to the complex geometries and various stacking configurations. Many prior works utilize pose estimation for picking, but pose estimation is difficult on... | [
44747,
32045,
27854
] | Train |
20,014 | 16 | Title: Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries
Abstract: Accurate segmentation of surgical instrument tip is an important task for enabling downstream applications in robotic surgery, such as surgical skill assessment, tool-tissue interaction and deformat... | [
8187
] | Train |
20,015 | 8 | Title: Towards understanding the performance of IEEE 802.11 MAC in heterogeneous traffic conditions
Abstract: Motivated by the need to study the performance of vehicular communication protocols as applicable to heterogeneous traffic conditions, we study the performance of IEEE 802.11p medium access protocol under such ... | [] | Test |
20,016 | 24 | Title: Multi-View Clustering via Semi-non-negative Tensor Factorization
Abstract: Multi-view clustering (MVC) based on non-negative matrix factorization (NMF) and its variants have received a huge amount of attention in recent years due to their advantages in clustering interpretability. However, existing NMF-based mul... | [
3710
] | Test |
20,017 | 24 | Title: Assessment of Reinforcement Learning for Macro Placement
Abstract: We provide open, transparent implementation and assessment of Google Brain's deep reinforcement learning approach to macro placement (Nature) and its Circuit Training (CT) implementation in GitHub. We implement in open-source key "blackbox" eleme... | [
10210,
10379
] | Test |
20,018 | 30 | Title: Multimodal Sentiment Analysis: A Survey
Abstract: Multimodal sentiment analysis has become an important research area in the field of artificial intelligence. With the latest advances in deep learning, this technology has reached new heights. It has great potential for both application and research, making it a ... | [
77,
3775
] | Train |
20,019 | 6 | Title: Avatars in Work Meetings: Correlation Between Photorealism and Appeal
Abstract: We investigated the effects of realism on acceptability of avatars for work meetings. Our survey of 2509 knowledge workers tested five levels of photorealism using animated GIFs. Avatar styles were rated for usage by: a manager, know... | [] | Validation |
20,020 | 31 | Title: MobileRec: A Large Scale Dataset for Mobile Apps Recommendation
Abstract: Recommender systems have become ubiquitous in our digital lives, from recommending products on e-commerce websites to suggesting movies and music on streaming platforms. Existing recommendation datasets, such as Amazon Product Reviews and ... | [
24683
] | Validation |
20,021 | 24 | Title: ProMap: Datasets for Product Mapping in E-commerce
Abstract: The goal of product mapping is to decide, whether two listings from two different e-shops describe the same products. Existing datasets of matching and non-matching pairs of products, however, often suffer from incomplete product information or contain... | [] | Validation |
20,022 | 5 | Title: Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation
Abstract: Graph Neural Network (GNN) inference is used in many real-world applications. Data sparsity in GNN inference, including sparsity in the input graph and the GNN model, offer opportunities to further speed up inference. Also, ma... | [
689,
19354
] | Train |
20,023 | 16 | Title: Smooth and Stepwise Self-Distillation for Object Detection
Abstract: Distilling the structured information captured in feature maps has contributed to improved results for object detection tasks, but requires careful selection of baseline architectures and substantial pre-training. Self-distillation addresses th... | [] | Train |
20,024 | 16 | Title: DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
Abstract: Reconstructing hand-held objects from a single RGB image is an important and challenging problem. Existing works utilizing Signed Distance Fields (SDF) reveal limitations in comprehensively capturing the complex hand-object... | [
12051,
42500,
41979
] | Validation |
20,025 | 30 | Title: In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models
Abstract: The phenomena of in-context learning has typically been thought of as"learning from examples". In this work which focuses on Machine Translation, we present a perspective of in-context le... | [
35680,
15961,
23898
] | Train |
20,026 | 16 | Title: TurboViT: Generating Fast Vision Transformers via Generative Architecture Search
Abstract: Vision transformers have shown unprecedented levels of performance in tackling various visual perception tasks in recent years. However, the architectural and computational complexity of such network architectures have mad... | [
24376,
35242,
32003,
36485
] | Train |
20,027 | 16 | Title: On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation
Abstract: The confidence calibration of deep learning-based perception models plays a crucial role in their reliability. Especially in the context of autonomous driving, downstream tasks like prediction and planning depend on accur... | [] | Validation |
20,028 | 30 | Title: Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Abstract: Large language models (LLMs) have recently shown great potential for in-context learning, where LLMs learn a new task simply by conditioning on a few input-label pairs (prompts). Despite their potential, our understand... | [
35388,
16837
] | Test |
20,029 | 24 | Title: Fairness and Accuracy Under Domain Generalization
Abstract: As machine learning (ML) algorithms are increasingly used in high-stakes applications, concerns have arisen that they may be biased against certain social groups. Although many approaches have been proposed to make ML models fair, they typically rely on... | [
11553,
18065,
13105
] | Train |
20,030 | 28 | Title: CSS-T Codes from Reed Muller Codes for Quantum Fault Tolerance
Abstract: CSS-T codes are a class of stabilizer codes introduced by Rengaswami et al with desired properties for quantum fault-tolerance. In this work, we give a comprehensive study of CSS-T codes built from Reed-Muller codes. These classical codes a... | [] | Train |
20,031 | 37 | Title: Open Metaverse: Issues, Evolution, and Future
Abstract: With the evolution of content on the web and the Internet, there is a need for cyberspace that can be used to work, live, and play in digital worlds regardless of geography. The Metaverse provides the possibility of future Internet and represents a future t... | [
28443,
34407,
10124,
6254,
43483,
22334
] | Train |
20,032 | 16 | Title: A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration
Abstract: Fisheye lens, which is suitable for panoramic imaging, has the prominent advantage of a large field of view and low cost. However, the fisheye image has a severe geometric distortion which may interfere with the stag... | [] | Validation |
20,033 | 9 | Title: Multivariate to Bivariate Reduction for Noncommutative Polynomial Factorization
Abstract: Based on a theorem of Bergman we show that multivariate noncommutative polynomial factorization is deterministic polynomial-time reducible to the factorization of bivariate noncommutative polynomials. More precisely, we sho... | [] | Train |
20,034 | 31 | Title: Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines
Abstract: In the medical domain, several disease treatment procedures have been documented properly as a set of instructions known as Clinical Practice Guidelines (CPGs). CPGs have been developed over the ... | [] | Train |
20,035 | 24 | Title: Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning
Abstract: Proactive edge association is capable of improving wireless connectivity at the cost of increased handover (HO) frequency and energy consumption, while relying ... | [] | Test |
20,036 | 16 | Title: R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios
Abstract: In realistic open-set scenarios where labels of a part of testing data are totally unknown, current prompt methods on vision-language (VL) models always predict the unknown classes as the downstream training classes. The exhibited label bias cau... | [
1930
] | Validation |
20,037 | 2 | Title: ADCL: Acceleration Driven Clause Learning for Constrained Horn Clauses
Abstract: Constrained Horn Clauses (CHCs) are often used in automated program verification. Thus, techniques for (dis-)proving satisfiability of CHCs are a very active field of research. On the other hand, acceleration techniques for computin... | [
44660
] | Train |
20,038 | 30 | Title: Feature Interactions Reveal Linguistic Structure in Language Models
Abstract: We study feature interactions in the context of feature attribution methods for post-hoc interpretability. In interpretability research, getting to grips with feature interactions is increasingly recognised as an important challenge, b... | [
40691,
8902
] | Train |
20,039 | 5 | Title: Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
Abstract: In modern networking research, infrastructure-assisted unmanned autonomous vehicles (UAVs) are actively considered for real-time learning-based surveillance and aerial data... | [] | Validation |
20,040 | 34 | Title: A Comparison of Dijkstra's Algorithm Using Fibonacci Heaps, Binary Heaps, and Self-Balancing Binary Trees
Abstract: This paper describes the shortest path problem in weighted graphs and examines the differences in efficiency that occur when using Dijkstra's algorithm with a Fibonacci heap, binary heap, and self-... | [] | Train |
20,041 | 27 | Title: Motion Cueing Algorithm for Effective Motion Perception: A frequency-splitting MPC Approach
Abstract: Model predictive control (MPC) is a promising technique for motion cueing in driving simulators, but its high computation time limits widespread real-time application. This paper proposes a hybrid algorithm that... | [
34057
] | Validation |
20,042 | 13 | Title: SLSSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
Abstract: Brain-inspired spiking neuron networks (SNNs) have attracted widespread research interest due to their low power features, high biological plausibility, and strong spatiotemporal information process... | [] | Validation |
20,043 | 4 | Title: Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks
Abstract: In this paper, we describe and analyze an island-based random dynamic voltage scaling (iRDVS) approach to thwart power side-channel attacks. We first analyze the impact of the number of independent voltage islands on ... | [] | Test |
20,044 | 13 | Title: A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
Abstract: Predicting body fat can provide medical practitioners and users with essential information for preventing and diagnosing heart diseases. Hybrid machine learning models... | [] | Validation |
20,045 | 33 | Title: Infinite Words and Morphic Languages Formalized in Isabelle/HOL
Abstract: We present a formalization of basics related to infinite words in the generic proof assistant Isabelle/HOL. Furthermore, we present a formalization of purely morphic and morphic languages. Finally, we present a formalized definition of Stu... | [] | Test |
20,046 | 31 | Title: RankFormer: Listwise Learning-to-Rank Using Listwide Labels
Abstract: Web applications where users are presented with a limited selection of items have long employed ranking models to put the most relevant results first. Any feedback received from users is typically assumed to reflect a relative judgement on the... | [] | Train |
20,047 | 16 | Title: Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge
Abstract: Using additional training data is known to improve the results, especially for medical image 3D segmentation where there is a lack of training material and the model needs to generalize well from few available data. Howev... | [] | Train |
20,048 | 16 | Title: Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning
Abstract: While impressive performance has been achieved in image captioning, the limited diversity of the generated captions and the large parameter scale remain major barriers to the real-word application of these systems. In this wor... | [] | Validation |
20,049 | 10 | Title: Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games
Abstract: nan | [] | Test |
20,050 | 10 | Title: The Generalizability of Explanations
Abstract: Due to the absence of ground truth, objective evaluation of explainability methods is an essential research direction. So far, the vast majority of evaluations can be summarized into three categories, namely human evaluation, sensitivity testing, and salinity check.... | [] | Train |
20,051 | 34 | Title: Online Resource Allocation with Convex-set Machine-Learned Advice
Abstract: Decision-makers often have access to a machine-learned prediction about demand, referred to as advice, which can potentially be utilized in online decision-making processes for resource allocation. However, exploiting such advice poses c... | [] | Train |
20,052 | 24 | Title: ClaPIM: Scalable Sequence Classification Using Processing-in-Memory
Abstract: Deoxyribonucleic acid (DNA) sequence classification is a fundamental task in computational biology with vast implications for applications such as disease prevention and drug design. Therefore, fast high-quality sequence classifiers ar... | [] | Test |
20,053 | 22 | Title: Bridging Control-Centric and Data-Centric Optimization
Abstract: With the rise of specialized hardware and new programming languages, code optimization has shifted its focus towards promoting data locality. Most production-grade compilers adopt a control-centric mindset --- instruction-driven optimization augmen... | [
23722,
1879
] | Train |
20,054 | 16 | Title: M-EBM: Towards Understanding the Manifolds of Energy-Based Models
Abstract: Energy-based models (EBMs) exhibit a variety of desirable properties in predictive tasks, such as generality, simplicity and compositionality. However, training EBMs on high-dimensional datasets remains unstable and expensive. In this pa... | [] | Test |
20,055 | 4 | Title: Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
Abstract: When releasing outputs from confidential data, agencies need to balance the analytical usefulness of the released data with the obligation to protect data subjects' confidentiality. For releases satisfying ... | [
11893
] | Train |
20,056 | 24 | Title: Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization
Abstract: This work studies the generalization error of gradient methods. More specifically, we focus on how training steps $T$ and step-size $\eta$ might affect generalization in smooth stochastic convex optimization (SCO) probl... | [
43505
] | Train |
20,057 | 4 | Title: A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report)
Abstract: Previous research has shown that federated learning (FL) systems are exposed to an array of security risks. Despite the proposal of several defensive strategies, they tend to be non-adaptive and specific to certain t... | [
31293,
18853
] | Train |
20,058 | 27 | Title: Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure
Abstract: Connected autonomous vehicles (CAVs) promise to enhance safety, efficiency, and sustainability in urban transportation. However, this is contingent upon a CAV correctly predicting the motion o... | [
45016
] | Validation |
20,059 | 4 | Title: Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid
Abstract: The rapid growth of distributed energy resources (DERs), such as renewable energy sources, generators, consumers, and prosumers in the smart grid infrastructure, poses significant c... | [] | Train |
20,060 | 30 | Title: Data Augmentation for Modeling Human Personality: The Dexter Machine
Abstract: , | [] | Test |
20,061 | 5 | Title: Optimization of Topology-Aware Job Allocation on a High-Performance Computing Cluster by Neural Simulated Annealing
Abstract: Jobs on high-performance computing (HPC) clusters can suffer significant performance degradation due to inter-job network interference. Topology-aware job allocation problem (TJAP) is suc... | [] | Train |
20,062 | 8 | Title: Joint Computing Offloading and Resource Allocation for Classification Intelligent Tasks in MEC Systems
Abstract: Mobile edge computing (MEC) enables low-latency and high-bandwidth applications by bringing computation and data storage closer to end-users. Intelligent computing is an important application of MEC, ... | [
26212
] | Train |
20,063 | 6 | Title: Designing Conversational Multimodal 3D Printed Models with People who are Blind
Abstract: 3D printed models have been used to improve access to graphical information by people who are blind, offering benefits over conventional accessible graphics. Here we investigate an interactive 3D printed model (I3M) that co... | [] | Train |
20,064 | 24 | Title: Recent advances in artificial intelligence for retrosynthesis
Abstract: Retrosynthesis is the cornerstone of organic chemistry, providing chemists in material and drug manufacturing access to poorly available and brand-new molecules. Conventional rule-based or expert-based computer-aided synthesis has obvious li... | [
24876
] | Validation |
20,065 | 30 | Title: LabelPrompt: Effective Prompt-based Learning for Relation Classification
Abstract: Recently, prompt-based learning has gained popularity across many natural language processing (NLP) tasks by reformulating them into a cloze-style format to better align pre-trained language models (PLMs) with downstream tasks. Ho... | [] | Train |
20,066 | 8 | Title: Environment Knowledge Supported RAN Control for 6G Campus Networks
Abstract: In this paper, the authors present a Radio Access Network (RAN) concept for future mobile communication systems beyond 5G. The concept is based on knowledge of the environment. The three conceptual applications RAN authentication, beam ... | [] | Validation |
20,067 | 24 | Title: Graph Neural Networks Use Graphs When They Shouldn't
Abstract: Predictions over graphs play a crucial role in various domains, including social networks, molecular biology, medicine, and more. Graph Neural Networks (GNNs) have emerged as the dominant approach for learning on graph data. Instances of graph labeli... | [] | Train |
20,068 | 28 | Title: Does an IRS Degrade Out-of-Band Performance?
Abstract: Intelligent reflecting surfaces (IRSs) were introduced to enhance the performance of wireless systems. However, from a cellular service provider's view, a concern with the use of an IRS is its effect on out-of-band (OOB) quality of service. Specifically, giv... | [] | Train |
20,069 | 4 | Title: Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Abstract: Federated Learning, as a popular paradigm for collaborative training, is vulnerable against privacy attacks. Different privacy levels regarding users' attitudes need to be satisfied locally, while a ... | [
10947
] | Train |
20,070 | 30 | Title: Is GPT-4 a Good Data Analyst?
Abstract: As large language models (LLMs) have demonstrated their powerful capabilities in plenty of domains and tasks, including context understanding, code generation, language generation, data storytelling, etc., many data analysts may raise concerns if their jobs will be replace... | [
28443,
15075,
24867,
17061,
2234,
17650,
30738,
24308,
4408,
35545,
3802,
45659,
2428,
32286
] | Train |
20,071 | 16 | Title: FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
Abstract: Bias in computer vision systems can perpetuate or even amplify discrimination against certain populations. Considering that bias is often introduced by biased visual datasets, many recent research efforts focus on ... | [
21791
] | Validation |
20,072 | 30 | Title: Concise Answers to Complex Questions: Summarization of Long-form Answers
Abstract: Long-form question answering systems provide rich information by presenting paragraph-level answers, often containing optional background or auxiliary information. While such comprehensive answers are helpful, not all information ... | [
14609,
25102,
22286
] | Validation |
20,073 | 23 | Title: Automatic Detecting Unethical Behavior in Open-source Software Projects
Abstract: Given the rapid growth of Open-Source Software (OSS) projects, ethical considerations are becoming more important. Past studies focused on specific ethical issues (e.g., gender bias and fairness in OSS). There is little to no study... | [] | Validation |
20,074 | 39 | Title: Cosecure Domination: Hardness Results and Algorithm
Abstract: For a simple graph $G=(V,E)$ without any isolated vertex, a cosecure dominating set $D$ of $G$ satisfies the following two properties (i) $S$ is a dominating set of $G$, (ii) for every vertex $v \in S$ there exists a vertex $u \in V \setminus S$ such ... | [] | Validation |
20,075 | 16 | Title: Emotionally Enhanced Talking Face Generation
Abstract: Several works have developed end-to-end pipelines for generating lip-synced talking faces with various real-world applications, such as teaching and language translation in videos. However, these prior works fail to create realistic-looking videos since they... | [
1029,
41079
] | Train |
20,076 | 27 | Title: FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation
Abstract: We focus on the problem of LiDAR point cloud based loop detection (or Finding) and closure (LDC) in a multi-agent setting. State-of-the-art (SOTA) techniques directly gen... | [] | Train |
20,077 | 16 | Title: Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts
Abstract: Automated shape repair approaches currently lack access to datasets that describe real-world damaged geometry. We present Fantastic Breaks (and Where to Find Them: https://terascale-all-sensing-r... | [
6451
] | Test |
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