node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
40,378 | 24 | Title: Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network
Abstract: Temporal graph neural network (GNN) has recently received significant attention due to its wide application scenarios, such as bioinformatics, knowledge graphs, and social networks. There are some temporal GNNs t... | [] | Train |
40,379 | 33 | Title: String Compression in FA-Presentable Structures
Abstract: nan | [] | Train |
40,380 | 24 | Title: RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
Abstract: Inspired by the recent success of large language models (LLMs) like ChatGPT, researchers start to explore the adoption of LLMs for agile hardware design, such as generating design RTL based on natural-language instructi... | [
32450,
33220,
24428,
26766,
24718
] | Test |
40,381 | 23 | Title: Post-pandemic Resilience of Hybrid Software Teams
Abstract: Background. The COVID-19 pandemic triggered a widespread transition to hybrid work models (combinations of co-located and remote work) as software professionals’ demanded more flexibility and improved work-life balance. However, hybrid work models reduc... | [] | Validation |
40,382 | 30 | Title: National Origin Discrimination in Deep-learning-powered Automated Resume Screening
Abstract: Many companies and organizations have started to use some form of AIenabled auto mated tools to assist in their hiring process, e.g. screening resumes, interviewing candi dates, performance evaluation. While those AI too... | [] | Validation |
40,383 | 10 | Title: A method for the ethical analysis of brain-inspired AI
Abstract: Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to underlying theo... | [] | Test |
40,384 | 36 | Title: Thou Shalt not Pick all Items if Thou are First: of Strategyproof and Fair Picking Sequences
Abstract: When allocating indivisible items to agents, it is known that the only strategyproof mechanisms that satisfy a set of rather mild conditions are constrained serial dictatorships: given a fixed order over agents... | [] | Train |
40,385 | 37 | Title: Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level
Abstract: In-memory key-value stores (IMKVSes) serve many online applications. They generally adopt the fork-based snapshot mechanism to support data backup. However, this method can result in query latenc... | [] | Train |
40,386 | 28 | Title: Angle-based SLAM on 5G mmWave Systems: Design, Implementation, and Measurement
Abstract: Simultaneous localization and mapping (SLAM) is a key technology that provides user equipment (UE) tracking and environment mapping services, enabling the deep integration of sensing and communication. The millimeter-wave (m... | [] | Train |
40,387 | 16 | Title: EEP-3DQA: Efficient and Effective Projection-Based 3D Model Quality Assessment
Abstract: Currently, great numbers of efforts have been put into improving the effectiveness of 3D model quality assessment (3DQA) methods. However, little attention has been paid to the computational costs and inference time, which i... | [] | Test |
40,388 | 24 | Title: Temporal Robustness against Data Poisoning
Abstract: Data poisoning considers cases when an adversary manipulates the behavior of machine learning algorithms through malicious training data. Existing threat models of data poisoning center around a single metric, the number of poisoned samples. In consequence, if... | [
2136,
28689,
19370,
1965
] | Train |
40,389 | 27 | Title: General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox
Abstract: This paper presents an open source LiDAR-camera calibration toolbox that is general to LiDAR and cam-era projection models, requires only one pairing of LiDAR and camera data without a calibration target, and is... | [
30317
] | Train |
40,390 | 16 | Title: Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models
Abstract: In this paper, we study the denoising diffusion probabilistic model (DDPM) in wavelet space, instead of pixel space, for visual synthesis. Considering the wavelet transform represents the image in spatial and frequency domains, we car... | [] | Validation |
40,391 | 4 | Title: GovernR: Provenance and Confidentiality Guarantees In Research Data Repositories
Abstract: We propose cryptographic protocols to incorporate time provenance guarantees while meeting confidentiality and controlled sharing needs for research data. We demonstrate the efficacy of these mechanisms by developing and b... | [] | Test |
40,392 | 30 | Title: Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits
Abstract: Transformers have emerged as a widely used neural network model for various natural language processing tasks. Previous research explored their relationship with constant-depth threshold circuits, making two assumptions: ... | [] | Train |
40,393 | 24 | Title: Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning
Abstract: Multi-Agent Reinforcement Learning (MARL) discovers policies that maximize reward but do not have safety guarantees during the learning and deployment phases. Although shielding with Linear Temporal Logic (LTL) is a... | [
31086
] | Train |
40,394 | 6 | Title: Breaking Out of the Ivory Tower: A Large-scale Analysis of Patent Citations to HCI Research
Abstract: What is the impact of human-computer interaction research on industry? While it is impossible to track all research impact pathways, the growing literature on translational research impact measurement offers pat... | [
3808,
7708,
33967
] | Train |
40,395 | 16 | Title: MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
Abstract: Existing methods proposed for hand reconstruction tasks usually parameterize a generic 3D hand model or predict hand mesh positions directly. The parametric representations consisting of hand shapes and rotational poses... | [] | Test |
40,396 | 24 | Title: The importance of feature preprocessing for differentially private linear optimization
Abstract: Training machine learning models with differential privacy (DP) has received increasing interest in recent years. One of the most popular algorithms for training differentially private models is differentially privat... | [
41178,
35095,
15495
] | Test |
40,397 | 24 | Title: Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Abstract: Multivariate Time Series forecasting has been an increasingly popular topic in various applications and scenarios. Recently, contrastive learning and Transformer-based models have achieved good performance in many long-term series forecasting task... | [
5168,
26788,
8527
] | Train |
40,398 | 27 | Title: Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level
Abstract: Surgical robotics is a rapidly evolving field that is transforming the landscape of surgeries. Surgical robots have been shown to enhance precision, minimize invasiveness, and alleviate surgeon fatigue. One promising area ... | [] | Validation |
40,399 | 8 | Title: FlexRDZ: Autonomous Mobility Management for Radio Dynamic Zones
Abstract: FlexRDZ is an online, autonomous manager for radio dynamic zones (RDZ) that seeks to enable the safe operation of RDZs through real-time control of deployed test transmitters. FlexRDZ leverages Hierarchical Task Networks and digital twin m... | [] | Train |
40,400 | 30 | Title: ProsAudit, a prosodic benchmark for self-supervised speech models
Abstract: We present ProsAudit, a benchmark in English to assess structural prosodic knowledge in self-supervised learning (SSL) speech models. It consists of two subtasks, their corresponding metrics, and an evaluation dataset. In the protosyntax... | [] | Train |
40,401 | 24 | Title: Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting
Abstract: Predicting potential risks associated with the fatigue of key structural components is crucial in engineering design. However, fatigue often involves entangled complexities of material microstructures and service conditions, making diagn... | [] | Test |
40,402 | 18 | Title: Redundancy-free integrated optical convolver for optical neural networks based on arrayed waveguide grating
Abstract: Optical neural networks (ONNs) have gained significant attention due to their potential for high-speed and energy-efficient computation in artificial intelligence. The implementation of optical c... | [] | Train |
40,403 | 16 | Title: Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges
Abstract: Radar is a key component of the suite of perception sensors used for safe and reliable navigation of autonomous vehicles. Its unique capabilities include high-resolution velocity imaging, detection of agents in occlusion an... | [
6828,
21776,
29777,
42042,
18335
] | Train |
40,404 | 24 | Title: DBSCAN of Multi-Slice Clustering for Third-Order Tensors
Abstract: Several methods for triclustering three-dimensional data require the cluster size or the number of clusters in each dimension to be specified. To address this issue, the Multi-Slice Clustering (MSC) for 3-order tensor finds signal slices that lie... | [] | Train |
40,405 | 16 | Title: All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
Abstract: Unlike language tasks, where the output space is usually limited to a set of tokens, the output space of visual tasks is more complicated, making it difficult to build a unified visual model for various visual tasks. In this paper, we ... | [
23713,
146,
27508,
16820,
4220
] | Train |
40,406 | 30 | Title: GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction
Abstract: Document-level relation extraction aims to identify relationships between entities within a document. Current methods rely on text-based encoders and employ various hand-coded pooling heuristics to aggregate ... | [
17130
] | Validation |
40,407 | 10 | Title: Neuro-Symbolic RDF and Description Logic Reasoners: The State-Of-The-Art and Challenges
Abstract: Ontologies are used in various domains, with RDF and OWL being prominent standards for ontology development. RDF is favored for its simplicity and flexibility, while OWL enables detailed domain knowledge representat... | [] | Validation |
40,408 | 24 | Title: Domain Generalization In Robust Invariant Representation
Abstract: Unsupervised approaches for learning representations invariant to common transformations are used quite often for object recognition. Learning invariances makes models more robust and practical to use in real-world scenarios. Since data transform... | [] | Validation |
40,409 | 27 | Title: Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion
Abstract: Robust, high-precision global localization is fundamental to a wide range of outdoor robotics applications. Conventional fusion methods use low-accuracy pseudorange based GNSS measurements ($>>5m$ errors) and can only yie... | [] | Train |
40,410 | 23 | Title: Contrastive Learning for API Aspect Analysis
Abstract: We present a novel approach - CLAA - for API aspect detection in API reviews that utilizes transformer models trained with a supervised contrastive loss objective function. We evaluate CLAA using performance and impact analysis. For performance analysis, we ... | [] | Validation |
40,411 | 31 | Title: Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives
Abstract: Webpages change over time, and web archives hold copies of historical versions of webpages. Users of web archives, such as journalists, want to find and view changes on webpages over time. However, the current sear... | [
26968
] | Train |
40,412 | 36 | Title: Data Structures for Deviation Payoffs
Abstract: We present new data structures for representing symmetric normal-form games. These data structures are optimized for efficiently computing the expected utility of each unilateral pure-strategy deviation from a symmetric mixed-strategy profile. The cumulative effect... | [] | Test |
40,413 | 30 | Title: Full Stack Optimization of Transformer Inference: a Survey
Abstract: Recent advances in state-of-the-art DNN architecture design have been moving toward Transformer models. These models achieve superior accuracy across a wide range of applications. This trend has been consistent over the past several years since... | [
31648,
22978,
1141,
31256,
20411,
30044
] | Validation |
40,414 | 24 | Title: Graph-Level Embedding for Time-Evolving Graphs
Abstract: Graph representation learning (also known as network embedding) has been extensively researched with varying levels of granularity, ranging from nodes to graphs. While most prior work in this area focuses on node-level representation, limited research has ... | [] | Test |
40,415 | 7 | Title: Uncertainty Quantification of a Wind Tunnel-Informed Stochastic Wind Load Model for Wind Engineering Applications
Abstract: The simulation of stochastic wind loads is necessary for many applications in wind engineering. The proper orthogonal decomposition (POD)-based spectral representation method is a popular a... | [] | Train |
40,416 | 27 | Title: Nonverbal Cues in Human–Robot Interaction: A Communication Studies Perspective
Abstract: Communication between people is characterized by a broad range of nonverbal cues. Transferring these cues into the design of robots and other artificial agents that interact with people may foster more natural, inviting, and... | [
26214
] | Train |
40,417 | 6 | Title: Wizundry: A Cooperative Wizard of Oz Platform for Simulating Future Speech-based Interfaces with Multiple Wizards
Abstract: Wizard of Oz (WoZ) as a prototyping method has been used to simulate intelligent user interfaces, particularly for speech-based systems. However, as our societies' expectations on artificia... | [] | Train |
40,418 | 16 | Title: Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality
Abstract: Solar Photovoltaic (PV) is increasingly being used to address the global concern of energy security. However, hot spot and snail trails in PV... | [] | Train |
40,419 | 6 | Title: Designing for Meaningful Human Control in Military Human-Machine Teams
Abstract: We propose methods for analysis, design, and evaluation of Meaningful Human Control (MHC) for defense technologies from the perspective of military human-machine teaming (HMT). Our approach is based on three principles. Firstly, MHC... | [] | Test |
40,420 | 27 | Title: Online estimation of the hand-eye transformation from surgical scenes
Abstract: Hand-eye calibration algorithms are mature and provide accurate transformation estimations for an effective camera-robot link but rely on a sufficiently wide range of calibration data to avoid errors and degenerate configurations. To... | [] | Test |
40,421 | 5 | Title: Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud
Abstract: The precise estimation of resource usage is a complex and challenging issue due to the high variability and dimensionality of heterogeneous service types and dynamic workloads. Over the last few years, the prediction... | [
32577,
19579
] | Test |
40,422 | 16 | Title: Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations
Abstract: Learned Image Compression (LIC) has recently become the trending technique for image transmission due to its notable performance. Despite its popularity, the robustness of LIC with respect to the quality of image re... | [
38040
] | Train |
40,423 | 3 | Title: Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems
Abstract: This paper conducts fairness testing on automated pedestrian detection, a crucial but under-explored issue in autonomous driving systems. We evaluate eight widely-studied pedestrian detectors a... | [] | Train |
40,424 | 24 | Title: Stochastic Generative Flow Networks
Abstract: Generative Flow Networks (or GFlowNets for short) are a family of probabilistic agents that learn to sample complex combinatorial structures through the lens of"inference as control". They have shown great potential in generating high-quality and diverse candidates f... | [
29267,
24651,
35628,
43749
] | Test |
40,425 | 8 | Title: Laser Inter-Satellite Link Setup Delay: Quantification, Impact, and Tolerable Value
Abstract: Dynamic laser inter-satellite links (LISLs) provide the flexibility of connecting a pair of satellites as required (dynamically) while static LISLs need to be active continuously between the energy-constrained satellite... | [
14180,
23279
] | Train |
40,426 | 8 | Title: Multi-Connectivity for Multicast Video Streaming in Cellular Networks (Extended Abstract)
Abstract: In video streaming applications especially during live streaming events (such as the Super Bowl), video traffic can account for a significant portion of network traffic and can lead to severe network congestion. D... | [] | Train |
40,427 | 30 | Title: Arukikata Travelogue Dataset
Abstract: We have constructed Arukikata Travelogue Dataset and released it free of charge for academic research. This dataset is a Japanese text dataset with a total of over 31 million words, comprising 4,672 Japanese domestic travelogues and 9,607 overseas travelogues. Before provid... | [
6323
] | Train |
40,428 | 6 | Title: Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
Abstract: Modern news aggregators do the hard work of organizing a large news stream, creating collections for a given news story with tens of source options. This paper shows that navigating large source collectio... | [
14171
] | Train |
40,429 | 8 | Title: Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation
Abstract: Wireless network emulators are being increasingly used for developing and evaluating new solutions for Next Generation (NextG) wireless networks. However, the reliability of the solutions tested on emulation... | [
18875,
32621
] | Validation |
40,430 | 4 | Title: Towards a Formally Verified Security Monitor for VM-based Confidential Computing
Abstract: Confidential computing is a key technology for isolating high-assurance applications from the large amounts of untrusted code typical in modern systems. Existing confidential computing systems cannot be certified for use i... | [] | Train |
40,431 | 30 | Title: Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM
Abstract: The most common mental disorders experienced by a person in daily life are depression and anxiety. Social stigma makes people with depression and anxiety neglected by their surroundings. Therefore, they turn to social media l... | [] | Train |
40,432 | 4 | Title: Commercial Anti-Smishing Tools and Their Comparative Effectiveness Against Modern Threats
Abstract: Smishing, also known as SMS phishing, is a type of fraudulent communication in which an attacker disguises SMS communications to deceive a target into providing their sensitive data. Smishing attacks use a variety... | [] | Train |
40,433 | 25 | Title: VSMask: Defending Against Voice Synthesis Attack via Real-Time Predictive Perturbation
Abstract: Deep learning based voice synthesis technology generates artificial human-like speeches, which has been used in deepfakes or identity theft attacks. Existing defense mechanisms inject subtle adversarial perturbations... | [
10848,
13708,
16221
] | Train |
40,434 | 36 | Title: Repeated Fair Allocation of Indivisible Items
Abstract: The problem of fairly allocating a set of indivisible items is a well-known challenge in the field of (computational) social choice. In this scenario, there is a fundamental incompatibility between notions of fairness (such as envy-freeness and proportional... | [] | Train |
40,435 | 22 | Title: Ideas for the future of Prolog inspired by Oz
Abstract: Both Prolog and Oz are multiparadigm languages with a logic programming core. There is a significant subset of Oz that is a syntactic variant of Prolog: pure Prolog programs with green or blue cuts and bagof/3 or setof/3 can be translated directly to Oz. Be... | [] | Train |
40,436 | 23 | Title: Practitioners' Expectations on Code Completion
Abstract: —Code completion has become a common practice for programmers during their daily programming activities. It aims at automatically predicting the next tokens or lines that the programmers tend to use. A good code completion tool can substantially save keyst... | [
2296,
18601,
18984,
18349
] | Train |
40,437 | 28 | Title: Codes with Weighted Poset Block Metrics
Abstract: Weighted poset block metric is a generalization of weighted poset metric introduced by Panek et al. ([\ref{panek}]) and the metric for linear error-block codes introduced by Feng et al. ([\ref{FENG}]). This type of metrics includes many classical metrics such as ... | [] | Test |
40,438 | 10 | Title: ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT
Abstract: This study presents an innovative approach to the application of large language models (LLMs) in clinical decision-making, focusing on OpenAI's ChatGPT. Our approach introduces the use of context... | [
41570,
43566,
16471
] | Train |
40,439 | 30 | Title: Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models
Abstract: We propose a novel approach for developing privacy-preserving large-scale recommender systems using differentially private (DP) large language models (LLMs) which overcomes certain ... | [
4610,
15495,
14282,
16491,
45104,
9917
] | Test |
40,440 | 30 | Title: HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field
Abstract: Renewable energy is important for achieving carbon neutrality goal. With the great success of Large Language Models (LLMs) like ChatGPT in automatic content generation, LLMs are playing an inc... | [
13700,
395,
8498,
31218,
2102,
19671,
8632,
9403,
829,
40152
] | Train |
40,441 | 16 | Title: Zero Grads Ever Given: Learning Local Surrogate Losses for Non-Differentiable Graphics
Abstract: Gradient-based optimization is now ubiquitous across graphics, but unfortunately can not be applied to problems with undefined or zero gradients. To circumvent this issue, the loss function can be manually replaced b... | [] | Train |
40,442 | 16 | Title: Domain Generalization for Crop Segmentation with Knowledge Distillation
Abstract: In recent years, precision agriculture has gradually oriented farming closer to automation processes to support all the activities related to field management. Service robotics plays a predominant role in this evolution by deployin... | [
32009
] | Train |
40,443 | 24 | Title: Sharp Bounds for Generalized Causal Sensitivity Analysis
Abstract: Causal inference from observational data is crucial for many disciplines such as medicine and economics. However, sharp bounds for causal effects under relaxations of the unconfoundedness assumption (causal sensitivity analysis) are subject to on... | [
36509,
23167
] | Train |
40,444 | 16 | Title: StyLess: Boosting the Transferability of Adversarial Examples
Abstract: Adversarial attacks can mislead deep neural networks (DNNs) by adding imperceptible perturbations to benign examples. The attack transferability enables adversarial examples to attack blackbox DNNs with unknown architectures or parameters, w... | [] | Test |
40,445 | 16 | Title: DISGO: Automatic End-to-End Evaluation for Scene Text OCR
Abstract: This paper discusses the challenges of optical character recognition (OCR) on natural scenes, which is harder than OCR on documents due to the wild content and various image backgrounds. We propose to uniformly use word error rates (WER) as a ne... | [] | Test |
40,446 | 4 | Title: Digital identity architectures: comparing goals and vulnerabilities
Abstract: Digital identity systems have the promise of efficiently facilitating access to services for a nation's citizens while increasing security and convenience. There are many possible system architectures, each with strengths and weaknesse... | [
40570
] | Train |
40,447 | 16 | Title: Trojan Model Detection Using Activation Optimization
Abstract: Due to data's unavailability or large size, and the high computational and human labor costs of training machine learning models, it is a common practice to rely on open source pre-trained models whenever possible. However, this practice is worry som... | [] | Train |
40,448 | 8 | Title: Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization
Abstract: Nanodevices with Terahertz (THz)-based wireless communication capabilities are providing a primer for flow-guided localization within the human bloodstreams. Such localization is allowing for assigning the locations of sen... | [
36082,
27492
] | Validation |
40,449 | 5 | Title: A Programming Model for GPU Load Balancing
Abstract: We propose a GPU fine-grained load-balancing abstraction that decouples load balancing from work processing and aims to support both static and dynamic schedules with a programmable interface to implement new load-balancing schedules. Prior to our work, the on... | [
24334
] | Train |
40,450 | 4 | Title: Piecewise Linear and Stochastic Models for the Analysis of Cyber Resilience
Abstract: We model a vehicle equipped with an autonomous cyber-defense system in addition to its inherent physical resilience features. When attacked, this ensemble of cyber-physical features (i.e., “bonware”) strives to resist and recov... | [
6865,
10333
] | Train |
40,451 | 24 | Title: DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Abstract: Time series remains one of the most challenging modalities in machine learning research. The out-of-distribution (OOD) detection and generalization on time series tend to suffer due to its non-stationary pro... | [
24008,
18386,
8500,
40338
] | Train |
40,452 | 2 | Title: Categorical Realizability for Non-symmetric Closed Structures
Abstract: In categorical realizability, it is common to construct categories of assemblies and categories of modest sets from applicative structures. These categories have structures corresponding to the structures of applicative structures. In the li... | [] | Test |
40,453 | 31 | Title: RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models
Abstract: The recommendation ecosystem involves interactions between recommender systems(Computer) and users(Human). Orthogonal to the perspective of recommender systems, we attempt to utilize LLMs from the perspecti... | [
33477,
33800,
19084,
16556,
37742,
7665,
25748,
20726,
9917
] | Validation |
40,454 | 2 | Title: Some Preliminary Steps Towards Metaverse Logic
Abstract: Assuming that the term 'metaverse' could be understood as a computer-based implementation of multiverse applications, we started to look in the present work for a logic that would be powerful enough to handle the situations arising both in the real and in ... | [] | Train |
40,455 | 27 | Title: Towards Safer Robot-Assisted Surgery: A Markerless Augmented Reality Framework
Abstract: Robot-assisted surgery is rapidly developing in the medical field, and the integration of augmented reality shows the potential of improving the surgeons' operation performance by providing more visual information. In this p... | [
6389
] | Validation |
40,456 | 24 | Title: One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers
Abstract: A key problem when modeling signal integrity for passive filters and interconnects in IC packages is the need for multiple S-parameter measurements within a desired frequency band to obtain adequate resoluti... | [] | Train |
40,457 | 30 | Title: Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection
Abstract: Generalized Few-Shot Intent Detection (GFSID) is challenging and realistic because it needs to categorize both seen and novel intents simultaneously. Previous GFSID methods rely on the episodic learning parad... | [
45300
] | Train |
40,458 | 31 | Title: Biases in scholarly recommender systems: impact, prevalence, and mitigation
Abstract: nan | [
10650
] | Validation |
40,459 | 16 | Title: Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
Abstract: Transformers achieve promising performance in document understanding because of their high effectiveness and still suffer from quadratic computational complexity dependency on the sequ... | [
37678
] | Train |
40,460 | 24 | Title: INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations
Abstract: For numerical design, the development of efficient and accurate surrogate models is paramount. They allow us to approximate complex physical phenomena, thereby reducing the computational burden of direct numerical simulations... | [] | Test |
40,461 | 24 | Title: The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw
Abstract: Before any binary classification model is taken into practice, it is important to validate its performance on a proper test set. Without a frame of reference given by a baseline method, it is impossible to determine if a s... | [] | Train |
40,462 | 16 | Title: ID2image: Leakage of non-ID information into face descriptors and inversion from descriptors to images
Abstract: Embedding a face image to a descriptor vector using a deep CNN is a widely used technique in face recognition. Via several possible training strategies, such embeddings are supposed to capture only id... | [] | Validation |
40,463 | 24 | Title: Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]
Abstract: The field of urban spatial-temporal prediction is advancing rapidly with the development of deep learning techniques and the availability of large-scale datasets. Ho... | [
10642,
26930,
37109
] | Train |
40,464 | 32 | Title: Groebner.jl: A package for Gröbner bases computations in Julia
Abstract: We introduce the Julia package Groebner.jl for computing Gr\"obner bases with the F4 algorithm. Groebner.jl is an efficient, lightweight, portable, thoroughly tested, and documented open-source software. The package works over integers modu... | [] | Test |
40,465 | 31 | Title: AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction
Abstract: Learning feature interactions is crucial to success for large-scale CTR prediction in recommender systems and Ads ranking. Researchers and practitioners extensively proposed various neural network arch... | [
1759
] | Train |
40,466 | 24 | Title: Quantifying and Exploring Heterogeneity in Domain Generalization through Contrastive Analysis
Abstract: Domain generalization (DG) is a commonly encountered issue in real-world applications. Its objective is to train models that can generalize well to unseen target domains by utilizing multiple source domains. I... | [
14560,
32324,
27798
] | Validation |
40,467 | 34 | Title: Online List Labeling with Predictions
Abstract: A growing line of work shows how learned predictions can be used to break through worst-case barriers to improve the running time of an algorithm. However, incorporating predictions into data structures with strong theoretical guarantees remains underdeveloped. Thi... | [
34604,
21525
] | Train |
40,468 | 24 | Title: Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning
Abstract: Federated Learning (FL) recently emerges as a paradigm to train a global machine learning model across distributed clients without sharing raw data. Knowledge Graph (KG) embedding represents KGs in a continuous vector space, serv... | [
11100,
36725
] | Train |
40,469 | 24 | Title: Fairness-Aware Client Selection for Federated Learning
Abstract: Federated learning (FL) has enabled multiple data owners (a.k.a. FL clients) to train machine learning models collaboratively without revealing private data. Since the FL server can only engage a limited number of clients in each training round, FL... | [] | Train |
40,470 | 8 | Title: Efficient Coflow Scheduling in Hybrid-Switched Data Center Networks
Abstract: To improve the application-level communication performance, scheduling of coflows, a collection of parallel flows sharing the same objective, is prevalent in modern data center networks (DCNs). Meanwhile, a hybrid-switched DCN design c... | [] | Train |
40,471 | 30 | Title: Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference
Abstract: We introduce a synthetic dataset called Sentences Involving Complex Compositional Knowledge (SICCK) and a novel analysis that investigates the performance of Natural Language Inference (NLI) models to unders... | [] | Train |
40,472 | 24 | Title: A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles
Abstract: In this work, we address the problem of long-distance navigation for battery electric vehicles (BEVs), where one or more charging sessions are required to reach the intended destination. We consider the availabilit... | [] | Test |
40,473 | 30 | Title: News Verifiers Showdown: A Comparative Performance Evaluation of ChatGPT 3.5, ChatGPT 4.0, Bing AI, and Bard in News Fact-Checking
Abstract: This study aimed to evaluate the proficiency of prominent Large Language Models (LLMs), namely OpenAI's ChatGPT 3.5 and 4.0, Google's Bard(LaMDA), and Microsoft's Bing AI i... | [] | Train |
40,474 | 16 | Title: Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors
Abstract: Current popular backbones in computer vision, such as Vision Transformers (ViT) and ResNets are trained to per-ceive the world from 2D images. However, to more effectively understand 3D structural priors in 2D backbones, we propose... | [
1030
] | Train |
40,475 | 13 | Title: Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns
Abstract: Spiking Neural Networks (SNNs) use discrete spike sequences to transmit information, which significantly mimics the information transmission of the brain. Although this binarized form of representation dramatically enhan... | [
39312,
14532,
27662
] | Validation |
40,476 | 24 | Title: Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder
Abstract: The fairness issue of clinical data modeling, especially on Electronic Health Records (EHRs), is of utmost importance due to EHR's complex latent structure and potential selection bias. It is frequently necessary to mitiga... | [] | Train |
40,477 | 16 | Title: Graph Laplacian for Semi-Supervised Learning
Abstract: Semi-supervised learning is highly useful in common scenarios where labeled data is scarce but unlabeled data is abundant. The graph (or nonlocal) Laplacian is a fundamental smoothing operator for solving various learning tasks. For unsupervised clustering, ... | [] | Train |
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