node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
23,378 | 4 | Title: Security Impact Analysis of Degree of Field Extension in Lattice Attacks on Ring-LWE Problem
Abstract: Modern information communications use cryptography to keep the contents of communications confidential. RSA (Rivest–Shamir–Adleman) cryptography and elliptic curve cryptography, which are public-key cryptosyste... | [] | Train |
23,379 | 30 | Title: AMR4NLI: Interpretable and robust NLI measures from semantic graphs
Abstract: The task of natural language inference (NLI) asks whether a given premise (expressed in NL) entails a given NL hypothesis. NLI benchmarks contain human ratings of entailment, but the meaning relationships driving these ratings are not ... | [
41542
] | Train |
23,380 | 10 | Title: Leveraging Planning Landmarks for Hybrid Online Goal Recognition
Abstract: Goal recognition is an important problem in many application domains (e.g., pervasive computing, intrusion detection, computer games, etc.). In many application scenarios it is important that goal recognition algorithms can recognize goal... | [] | Validation |
23,381 | 2 | Title: CoProver: A Recommender System for Proof Construction
Abstract: Interactive Theorem Provers (ITPs) are an indispensable tool in the arsenal of formal method experts as a platform for construction and (formal) verification of proofs. The complexity of the proofs in conjunction with the level of expertise typicall... | [] | Train |
23,382 | 30 | Title: kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
Abstract: In-Context Learning (ICL), which formulates target tasks as prompt completion conditioned on in-context demonstrations, has become the prevailing utilization of LLMs. In this paper, we first disclose an actual predi... | [
2369,
8226,
1321,
24732,
18686
] | Train |
23,383 | 16 | Title: Weakly-supervised Single-view Image Relighting
Abstract: We present a learning-based approach to relight a single image of Lambertian and low-frequency specular objects. Our method enables inserting objects from photographs into new scenes and relighting them under the new environment lighting, which is essentia... | [] | Train |
23,384 | 24 | Title: InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning
Abstract: One-Shot Neural Architecture Search (NAS) algorithms often rely on training a hardware agnostic super-network for a domain specific task. Optimal sub-networks are then extracted from the trained super-network for different hardware ... | [] | Test |
23,385 | 10 | Title: Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
Abstract: Robots operating in the real world require both rich manipulation skills as well as the ability to semantically reason about when to apply those skills. Towards this goal, recent works have integrated semantic representations... | [
29084
] | Train |
23,386 | 27 | Title: A Heuristic Informative-Path-Planning Algorithm for Autonomous Mapping of Unknown Areas
Abstract: Informative path planning algorithms are of paramount importance in applications like disaster management to efficiently gather information through a priori unknown environments. This is, however, a complex problem ... | [] | Train |
23,387 | 8 | Title: Leveraging Spatial and Temporal Correlations for Network Traffic Compression
Abstract: —The deployment of modern network applications is increasing the network size and traffic volumes at an unprece-dented pace. Storing network-related information (e.g., traffic traces) is key to enable efficient network management... | [
28650
] | Test |
23,388 | 28 | Title: On Delay Performance in Mega Satellite Networks with Inter-Satellite Links
Abstract: Utilizing Low Earth Orbit (LEO) satellite networks equipped with Inter-Satellite Links (ISL) is envisioned to provide lower delay compared to traditional optical networks. However, LEO satellites have constrained energy resource... | [
37143
] | Train |
23,389 | 31 | Title: Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation
Abstract: Latent factor models are the dominant backbones of contemporary recommender systems (RSs) given their performance advantages, where a unique vector embedding with a fixed dimensionality (e.g., 128) is required to repre... | [
36255
] | Train |
23,390 | 16 | Title: Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
Abstract: Deep networks trained on the source domain show degraded performance when tested on unseen target domain data. To enhance the model's generalization ability, most existing domain generaliz... | [] | Validation |
23,391 | 8 | Title: Extreme Value Theory-based Robust Minimum-Power Precoding for URLLC
Abstract: Channel state information (CSI) is crucial for achieving ultra-reliable low-latency communication (URLLC) in wireless networks. The main associated problems are the CSI acquisition time, which impacts the delay requirements of time-cri... | [] | Train |
23,392 | 16 | Title: MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation
Abstract: Simulating camera sensors is a crucial task in autonomous driving. Although neural radiance fields are exceptional at synthesizing photorealistic views in driving simulations, they still fail to generate extrapola... | [
34017,
41155,
19781,
18283,
2865,
33751
] | Test |
23,393 | 31 | Title: PUNR: Pre-training with User Behavior Modeling for News Recommendation
Abstract: News recommendation aims to predict click behaviors based on user behaviors. How to effectively model the user representations is the key to recommending preferred news. Existing works are mostly focused on improvements in the super... | [] | Train |
23,394 | 16 | Title: Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces
Abstract: The exploitation of Deepfake techniques for malicious intentions has driven significant research interest in Deepfake detection. Deepfake manipulations frequently introduce random tampere... | [] | Train |
23,395 | 4 | Title: Threat Models over Space and Time: A Case Study of E2EE Messaging Applications
Abstract: Threat modelling is foundational to secure systems engineering and should be done in consideration of the context within which systems operate. On the other hand, the continuous evolution of both the technical sophistication... | [] | Train |
23,396 | 27 | Title: Safe Autonomous Driving in Adverse Weather: Sensor Evaluation and Performance Monitoring
Abstract: The vehicle’s perception sensors radar, lidar and camera, which must work continuously and without restriction, especially with regard to automated/autonomous driving, can lose performance due to unfavourable weath... | [] | Train |
23,397 | 27 | Title: Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought
Abstract: Language instructions and demonstrations are two natural ways for users to teach robots personalized tasks. Recent progress in Large Language Models (LLMs) has shown impressive performance in translating langu... | [
17153,
26562,
3219,
22518,
11190
] | Train |
23,398 | 30 | Title: SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
Abstract: Textual graphs (TGs) are graphs whose nodes correspond to text (sentences or documents), which are widely prevalent. The representation learning of TGs involves two stages: (i) unsupervised feature extraction and (ii) supervised gr... | [
23805,
31492,
18117,
28407
] | Validation |
23,399 | 8 | Title: HSTF-Model: An HTTP-based Trojan detection model via the Hierarchical Spatio-temporal Features of Traffics
Abstract: nan | [] | Train |
23,400 | 24 | Title: From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space
Abstract: Deep Neural Networks are prone to learning spurious correlations embedded in the training data, leading to potentially biased predictions. This poses risks when deploying these models for high-stake dec... | [
35918,
18095
] | Train |
23,401 | 24 | Title: ResBuilder: Automated Learning of Depth with Residual Structures
Abstract: In this work, we develop a neural architecture search algorithm, termed Resbuilder, that develops ResNet architectures from scratch that achieve high accuracy at moderate computational cost. It can also be used to modify existing architec... | [] | Train |
23,402 | 8 | Title: Softly, Deftly, Scrolls Unfurl Their Splendor: Rolling Flexible Surfaces for Wideband Wireless
Abstract: With new frequency bands opening up, emerging wireless IoT devices are capitalizing on an increasingly divergent range of frequencies. However, existing coverage provisioning practice is often tied to specifi... | [] | Validation |
23,403 | 27 | Title: Robotic Table Tennis: A Case Study into a High Speed Learning System
Abstract: We present a deep-dive into a real-world robotic learning system that, in previous work, was shown to be capable of hundreds of table tennis rallies with a human and has the ability to precisely return the ball to desired targets. Thi... | [
11436
] | Train |
23,404 | 3 | Title: Unpacking the "Black Box" of AI in Education
Abstract: : Recent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential to improve education. However, AI is a loose umbrella term that refers to a collection of methods, capabilities, and limitations—many of which are often not expl... | [
38733,
12487
] | Train |
23,405 | 22 | Title: A Framework for Higher-Order Effects & Handlers
Abstract: Algebraic effects&handlers are a modular approach for modeling side-effects in functional programming. Their syntax is defined in terms of a signature of effectful operations, encoded as a functor, that are plugged into the free monad; their denotational ... | [] | Train |
23,406 | 26 | Title: ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting
Abstract: Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can conside... | [
31687
] | Validation |
23,407 | 3 | Title: Rural Access Index: A global study
Abstract: The Rural Access Index (RAI), one of the UN Sustainable Development Goal indicators (SDG 9.1.1), represents the proportion of the rural population residing within 2 km of all-season roads. It reflects the accessibility of rural residents to transportation services and... | [] | Train |
23,408 | 30 | Title: Few-shot learning approaches for classifying low resource domain specific software requirements
Abstract: With the advent of strong pre-trained natural language processing models like BERT, DeBERTa, MiniLM, T5, the data requirement for industries to fine-tune these models to their niche use cases has drastically... | [] | Train |
23,409 | 5 | Title: Distributed CONGEST Algorithm for Finding Hamiltonian Paths in Dirac Graphs and Generalizations
Abstract: We study the problem of finding a Hamiltonian cycle under the promise that the input graph has a minimum degree of at least $n/2$, where $n$ denotes the number of vertices in the graph. The classical theorem... | [] | Validation |
23,410 | 16 | Title: Deepfake Video Detection Using Generative Convolutional Vision Transformer
Abstract: Deepfakes have raised significant concerns due to their potential to spread false information and compromise digital media integrity. In this work, we propose a Generative Convolutional Vision Transformer (GenConViT) for deepfak... | [
41018
] | Train |
23,411 | 24 | Title: Stabilizing RNN Gradients through Pre-training
Abstract: Numerous theories of learning suggest to prevent the gradient variance from exponential growth with depth or time, to stabilize and improve training. Typically, these analyses are conducted on feed-forward fully-connected neural networks or single-layer re... | [
26208,
45695
] | Validation |
23,412 | 20 | Title: Does it pay to optimize AUC?
Abstract: The Area Under the ROC Curve (AUC) is an important model metric for evaluating binary classifiers, and many algorithms have been proposed to optimize AUC approximately. It raises the question of whether the generally insignificant gains observed by previous studies are due ... | [] | Validation |
23,413 | 8 | Title: Revolutionizing Modern Networks: Advances in AI, Machine Learning, and Blockchain for Quantum Satellites and UAV-based Communication
Abstract: Quantum communication is the most secure technique of transmitting data available today. Fiber communication lines and satellite-to-ground links have served as the basis ... | [
3323
] | Train |
23,414 | 2 | Title: Lifting the Reasoning Level in Generic Weak Memory Verification (Extended Version)
Abstract: Weak memory models specify the semantics of concurrent programs on multi-core architectures. Reasoning techniques for weak memory models are often specialized to one fixed model and verification results are hence not tra... | [
41659
] | Train |
23,415 | 24 | Title: Quantifying the Cost of Learning in Queueing Systems
Abstract: Queueing systems are widely applicable stochastic models with use cases in communication networks, healthcare, service systems, etc. Although their optimal control has been extensively studied, most existing approaches assume perfect knowledge of sys... | [] | Train |
23,416 | 6 | Title: Building Persuasive Robots with Social Power Strategies
Abstract: Can social power endow social robots with the capacity to persuade? This paper represents our recent endeavor to design persuasive social robots. We have designed and run three different user studies to investigate the effectiveness of different b... | [] | Train |
23,417 | 16 | Title: The 2023 Video Similarity Dataset and Challenge
Abstract: This work introduces a dataset, benchmark, and challenge for the problem of video copy detection and localization. The problem comprises two distinct but related tasks: determining whether a query video shares content with a reference video ("detection"),... | [
31208,
2603,
14836,
26110
] | Test |
23,418 | 27 | Title: Multi-Finger Haptics: Analysis of Human Hand Grasp towards a Tripod Three-Finger Haptic Grasp model
Abstract: : Grasping is an incredible ability of animals using their arms and limbs in their daily life. The human hand is an especially astonishing multi-fingered tool for precise grasping, which helped humans to... | [] | Test |
23,419 | 16 | Title: Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification
Abstract: Interstitial lung diseases (ILD) present diagnostic challenges due to their varied manifestations and overlapping imaging features. To address this, we propose a machine learning approach that utilizes CLIP, a mult... | [
5852
] | Train |
23,420 | 30 | Title: HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation
Abstract: Hallucinations in machine translation are translations that contain information completely unrelated to the input. Omissions are translations that do not include some of the input informa... | [
13155,
38102,
15358,
45879
] | Test |
23,421 | 30 | Title: Large Language Models to Identify Social Determinants of Health in Electronic Health Records
Abstract: Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the ability of large language mod... | [
25892,
9934,
43320,
31578,
42908,
45822
] | Test |
23,422 | 23 | Title: Improving the Reporting of Threats to Construct Validity
Abstract: Background: Construct validity concerns the use of indicators to measure a concept that is not directly measurable. Aim: This study intends to identify, categorize, assess and quantify discussions of threats to construct validity in empirical sof... | [] | Train |
23,423 | 24 | Title: Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
Abstract: Understanding the neural implementation of complex human behaviors is one of the major goals in neuroscience. To this end, it is crucial to find a true representation of the neural data, which... | [] | Test |
23,424 | 16 | Title: Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
Abstract: We present Implicit Two Hands (Im2Hands), the first neural implicit representation of two interacting hands. Unlike existing methods on two-hand reconstruction that rely on a parametric hand model and/or low-resolution ... | [
8854
] | Validation |
23,425 | 30 | Title: On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex
Abstract: Semantic parsing is a technique aimed at constructing a structured representation of the meaning of a natural-language question. Recent advances in language models trained on code have show... | [
7648,
27585,
18786,
32730,
33477,
25221,
392,
26792,
33552,
11190,
12602,
42523,
16412,
45245,
4639
] | Train |
23,426 | 27 | Title: Optometrist's Algorithm for Personalizing Robot-Human Handovers
Abstract: With an increasing interest in human-robot collaboration, there is a need to develop robot behavior while keeping the human user's preferences in mind. Highly skilled human users doing delicate tasks require their robot partners to behave ... | [] | Train |
23,427 | 30 | Title: A semi-automatic method for document classification in the shipping industry
Abstract: In the shipping industry, document classification plays a crucial role in ensuring that the necessary documents are properly identified and processed for customs clearance. OCR technology is being used to automate the process ... | [] | Train |
23,428 | 24 | Title: Provable Reset-free Reinforcement Learning by No-Regret Reduction
Abstract: Reinforcement learning (RL) so far has limited real-world applications. One key challenge is that typical RL algorithms heavily rely on a reset mechanism to sample proper initial states; these reset mechanisms, in practice, are expensive... | [
25623
] | Validation |
23,429 | 27 | Title: Lidar based 3D Tracking and State Estimation of Dynamic Objects
Abstract: State estimation of oncoming vehicles: Earlier research has been based on determining states like position, velocity, orientation , angular velocity, etc of ego-vehicle. Our approach focuses on estimating the states of non-ego vehicles whi... | [
5809,
43159
] | Train |
23,430 | 16 | Title: Meta Generative Attack on Person Reidentification
Abstract: Adversarial attacks have been recently investigated in person re-identification. These attacks perform well under cross dataset or cross model setting. However, the challenges present in cross-dataset cross-model scenario does not allow these models to ... | [] | Train |
23,431 | 16 | Title: Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints
Abstract: Learning robust local image feature matching is a fundamental low-level vision task, which has been widely explored in the past few years. Recently, detector-free local feature matchers based on transformer... | [] | Train |
23,432 | 30 | Title: Like a Good Nearest Neighbor: Practical Content Moderation with Sentence Transformers
Abstract: Modern text classification systems have impressive capabilities but are infeasible to deploy and use reliably due to their dependence on prompting and billion-parameter language models. SetFit (Tunstall et al., 2022) ... | [
25017
] | Train |
23,433 | 24 | Title: An Expert's Guide to Training Physics-informed Neural Networks
Abstract: Physics-informed neural networks (PINNs) have been popularized as a deep learning framework that can seamlessly synthesize observational data and partial differential equation (PDE) constraints. Their practical effectiveness however can be ... | [
878
] | Train |
23,434 | 28 | Title: Cramér-Rao Bounds for Near-Field Sensing with Extremely Large-Scale MIMO
Abstract: Mobile communication networks were designed to mainly support ubiquitous wireless communications, yet they are also expected to achieve radio sensing capabilities in the near future. However, most prior studies on radio sensing us... | [] | Validation |
23,435 | 30 | Title: Rationalization for Explainable NLP: A Survey
Abstract: Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. Black-bo... | [
6544,
15400,
27972
] | Train |
23,436 | 30 | Title: Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow
Abstract: Semi-cooperative behaviors are intrinsic properties of human drivers and should be considered for autonomous driving. In addition, new autonomous planners can consider the social value orientation (SVO) of human drivers to generate... | [] | Train |
23,437 | 3 | Title: Investigating Concerns of Security and Privacy Among Rohingya Refugees in Malaysia
Abstract: The security and privacy of refugee communities have emerged as pressing concerns in the context of increasing global migration. The Rohingya refugees are a stateless Muslim minority group in Myanmar who were forced to f... | [] | Train |
23,438 | 30 | Title: Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals
Abstract: A number of labeling systems based on text have been proposed to help monitor work on the United Nations (UN) Sustainable Development Goals (SDGs). Here, we present a systematic comparison of systems usi... | [] | Train |
23,439 | 7 | Title: Offline coupling of segregated multi-physical simulations with consistent boundary conditions and source terms based on scattered data
Abstract: This article presents the openCFS submodule scattered data reader for coupling multi-physical simulations performed in different simulation programs. For instance, by c... | [] | Validation |
23,440 | 31 | Title: Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM
Abstract: The analysis and mining of user heterogeneous behavior are of paramount importance in recommendation systems. However, the conventional approach of incorporating various types of heterogeneous behavior into recomme... | [
40192,
30131,
33220
] | Train |
23,441 | 25 | Title: FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models
Abstract: Stutter removal is an essential scenario in the field of speech editing. However, when the speech recording contains stutters, the existing text-based speech editing approaches still suffer from: 1) the over-smo... | [] | Validation |
23,442 | 16 | Title: On the unreasonable vulnerability of transformers for image restoration - and an easy fix
Abstract: Following their success in visual recognition tasks, Vision Transformers(ViTs) are being increasingly employed for image restoration. As a few recent works claim that ViTs for image classification also have better... | [
22372
] | Train |
23,443 | 16 | Title: Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective
Abstract: The presence of a large number of bots on social media has adverse effects. The graph neural network (GNN) can effectively leverage the social relationships between users and achieve excellent result... | [
1354,
1308,
7742
] | Train |
23,444 | 5 | Title: An Empirical Study on Governance in Bitcoin's Consensus Evolution
Abstract: Blockchain systems run consensus rules as code to agree on the state of the distributed ledger and secure the network. Changing these rules can be risky and challenging. In addition, it can often be controversial and take much effort to ... | [] | Train |
23,445 | 24 | Title: Why is the prediction wrong? Towards underfitting case explanation via meta-classification
Abstract: In this paper we present a heuristic method to pro- vide individual explanations for those elements in a dataset (data points) which are wrongly predicted by a given classifier. Since the general case is too diff... | [] | Validation |
23,446 | 10 | Title: A Brief Review of Explainable Artificial Intelligence in Healthcare
Abstract: XAI refers to the techniques and methods for building AI applications which assist end users to interpret output and predictions of AI models. Black box AI applications in high-stakes decision-making situations, such as medical domain ... | [] | Validation |
23,447 | 30 | Title: Concept-aware Training Improves In-context Learning Ability of Language Models
Abstract: Many recent language models (LMs) of Transformers family exhibit so-called in-context learning (ICL) ability, manifested in the LMs' ability to modulate their function by a task described in a natural language input. Previou... | [
3795,
26485,
2518,
45529,
36543
] | Validation |
23,448 | 24 | Title: Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
Abstract: We propose a machine learning approach to the optimal control of multiclass fluid queueing networks (MFQNETs) that provides explicit and insightful control policies. We prove that a threshold type optimal policy exists f... | [
8489
] | Train |
23,449 | 9 | Title: On Solution Discovery via Reconfiguration
Abstract: The dynamics of real-world applications and systems require efficient methods for improving infeasible solutions or restoring corrupted ones by making modifications to the current state of a system in a restricted way. We propose a new framework of solution dis... | [
26257,
763
] | Train |
23,450 | 13 | Title: Controllable Exploration of a Design Space via Interactive Quality Diversity
Abstract: This paper introduces a user-driven evolutionary algorithm based on Quality Diversity (QD) search. During a design session, the user iteratively selects among presented alternatives and their selections affect the upcoming res... | [] | Test |
23,451 | 16 | Title: Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoring
Abstract: The aim of in-trawl catch monitoring for use in fishing operations is to detect, track and classify fish targets in real-time from video footage. Information gathered could be ... | [
9866,
7230
] | Test |
23,452 | 30 | Title: Evaluating Generative Models for Graph-to-Text Generation
Abstract: Large language models (LLMs) have been widely employed for graph-to-text generation tasks. However, the process of finetuning LLMs requires significant training resources and annotation work. In this paper, we explore the capability of generativ... | [
10564,
6537,
19083,
38102,
35580
] | Train |
23,453 | 24 | Title: A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Abstract: The ability to replicate predictions by machine learning (ML) or artificial intelligence (AI) models and results in scientific workflows that incorporate such ML/AI predictions ... | [] | Validation |
23,454 | 30 | Title: Soft-prompt Tuning for Large Language Models to Evaluate Bias
Abstract: Prompting large language models has gained immense popularity in recent years due to the advantage of producing good results even without the need for labelled data. However, this requires prompt tuning to get optimal prompts that lead to be... | [
2158
] | Train |
23,455 | 16 | Title: Generation-Guided Multi-Level Unified Network for Video Grounding
Abstract: Video grounding aims to locate the timestamps best matching the query description within an untrimmed video. Prevalent methods can be divided into moment-level and clip-level frameworks. Moment-level approaches directly predict the proba... | [] | Train |
23,456 | 24 | Title: Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Abstract: Distribution shift is a major source of failure for machine learning models. However, evaluating model reliability under distribution shift can be challenging, especially since it may be difficult to acquire coun... | [
36755,
21589
] | Train |
23,457 | 26 | Title: The State of Diversity and Inclusion in Apache: A Pulse Check
Abstract: Diversity and inclusion (D&I) in open source software (OSS) is a multifaceted concept that arises from differences in contributors’ gender, seniority, language, region, and other characteristics. D&I has received growing attention in OSS eco... | [
27355
] | Validation |
23,458 | 16 | Title: Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection
Abstract: Human affective behavior analysis plays a vital role in human-computer interaction (HCI) systems. In this paper, we introduce our submission to the CVPR 2023 Competition on Affective Behavior... | [
39782,
17321,
16586,
23627,
2323,
1305,
34718
] | Train |
23,459 | 30 | Title: Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting
Abstract: Most tasks in NLP require labeled data. Data labeling is often done on crowdsourcing platforms due to scalability reasons. However, publishing data on public platforms can only be done if no privacy-relevant information is included.... | [] | Train |
23,460 | 23 | Title: StubCoder: Automated Generation and Repair of Stub Code for Mock Objects
Abstract: Mocking is an essential unit testing technique for isolating the class under test (CUT) from its dependencies. Developers often leverage mocking frameworks to develop stub code that specifies the behaviors of mock objects. However... | [] | Train |
23,461 | 24 | Title: Enriching Disentanglement: Definitions to Metrics
Abstract: Disentangled representation learning is a challenging task that involves separating multiple factors of variation in complex data. Although various metrics for learning and evaluating disentangled representations have been proposed, it remains unclear w... | [
40172,
6333,
4815
] | Train |
23,462 | 6 | Title: Prototyping Theories with ChatGPT: Experiment with the Technology Acceptance Model
Abstract: This research paper presents the findings of two experimental studies that explore the use of ChatGPT as a tool for theory prototyping. The objective of the studies is to assess ChatGPT's ability to comprehend theoretica... | [
45847,
38447
] | Train |
23,463 | 16 | Title: Semantic-guided context modeling for indoor scene recognition
Abstract: Exploring the semantic context in scene images is essential for indoor scene recognition. However, due to the diverse intra-class spatial layouts and the coexisting inter-class objects, modeling contextual relationships to adapt various imag... | [] | Train |
23,464 | 16 | Title: StyO: Stylize Your Face in Only One-Shot
Abstract: This paper focuses on face stylization with a single artistic target. Existing works for this task often fail to retain the source content while achieving geometry variation. Here, we present a novel StyO model, ie. Stylize the face in only One-shot, to solve th... | [
30138,
41102
] | Train |
23,465 | 33 | Title: Explicit Hopcroft's Trick in Categorical Partition Refinement
Abstract: Algorithms for partition refinement are actively studied for a variety of systems, often with the optimisation called Hopcroft's trick. However, the low-level description of those algorithms in the literature often obscures the essence of Ho... | [] | Train |
23,466 | 24 | Title: A Comprehensive Empirical Evaluation on Online Continual Learning
Abstract: Online continual learning aims to get closer to a live learning experience by learning directly on a stream of data with temporally shifting distribution and by storing a minimum amount of data from that stream. In this empirical evaluat... | [
17632,
21104,
5437,
37824
] | Train |
23,467 | 34 | Title: Approximation Algorithms for Norm Multiway Cut
Abstract: We consider variants of the classic Multiway Cut problem. Multiway Cut asks to partition a graph $G$ into $k$ parts so as to separate $k$ given terminals. Recently, Chandrasekaran and Wang (ESA 2021) introduced $\ell_p$-norm Multiway, a generalization of t... | [] | Train |
23,468 | 16 | Title: Towards Realistic Generative 3D Face Models
Abstract: In recent years, there has been significant progress in 2D generative face models fueled by applications such as animation, synthetic data generation, and digital avatars. However, due to the absence of 3D information, these 2D models often struggle to accura... | [
40064,
23638
] | Train |
23,469 | 26 | Title: Causal Influence Maximization in Hypergraph
Abstract: Influence Maximization (IM) is the task of selecting a fixed number of seed nodes in a given network to maximize dissemination benefits. Although the research for efficient algorithms has been dedicated recently, it is usually neglected to further explore the... | [] | Train |
23,470 | 34 | Title: Competitive Analysis of Online Facility Assignment for General Layout of Servers on a Line
Abstract: In the online facility assignment on a line ${\rm OFAL}(S,c)$ with a set $S$ of $k$ servers and a capacity $c:S\to\mathbb{N}$, each server $s\in S$ with a capacity $c(s)$ is placed on a line, and a request arrive... | [] | Train |
23,471 | 23 | Title: Study of software developers' experience using the Github Copilot Tool in the software development process
Abstract: In software development there is a constant pressure to produce code faster and faster without compromising on quality. New tools supporting developers are created in response to this demand. Curr... | [
41537
] | Test |
23,472 | 30 | Title: Benchmarking LLM powered Chatbots: Methods and Metrics
Abstract: Autonomous conversational agents, i.e. chatbots, are becoming an increasingly common mechanism for enterprises to provide support to customers and partners. In order to rate chatbots, especially ones powered by Generative AI tools like Large Langua... | [
33477
] | Validation |
23,473 | 6 | Title: Survey of Human Models for Verification of Human-Machine Systems
Abstract: We survey the landscape of human operator modeling ranging from the early cognitive models developed in artificial intelligence to more recent formal task models developed for model-checking of human machine interactions. We review human ... | [] | Train |
23,474 | 24 | Title: Supervised Knowledge May Hurt Novel Class Discovery Performance
Abstract: Novel class discovery (NCD) aims to infer novel categories in an unlabeled dataset by leveraging prior knowledge of a labeled set comprising disjoint but related classes. Given that most existing literature focuses primarily on utilizing s... | [] | Validation |
23,475 | 27 | Title: High-Gain Disturbance Observer for Robust Trajectory Tracking of Quadrotors
Abstract: This paper presents a simple method to boost the robustness of quadrotors in trajectory tracking. The presented method features a high-gain disturbance observer (HGDO) that provides disturbance estimates in real-time. The estim... | [] | Train |
23,476 | 16 | Title: Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces
Abstract: Due to the scarcity of annotated data in the medical domain, few-shot learning may be useful for medical image analysis tasks. We design a few-shot learning method using an ensemble of random subspaces for the diagn... | [] | Train |
23,477 | 26 | Title: Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance
Abstract: Divisiveness appears to be increasing in much of the world, leading to concern about political violence and a decreasing capacity to collaboratively address large-scale societal challeng... | [
39778,
41514,
20822,
10009,
33051
] | Test |
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