node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
38,378 | 24 | Title: Broad Learning System with Takagi-Sugeno Fuzzy Subsystem for Tobacco Origin Identification based on Near Infrared Spectroscopy
Abstract: nan | [] | Train |
38,379 | 30 | Title: Spoken Language Intelligence of Large Language Models for Language Learning
Abstract: People have long hoped for a conversational system that can assist in real-life situations, and recent progress on large language models (LLMs) is bringing this idea closer to reality. While LLMs are often impressive in perform... | [
40192,
9313,
13700,
13189,
13510,
22444,
8015,
5078,
43641,
634,
9403,
35580,
29375
] | Test |
38,380 | 27 | Title: Autonomous Needle Navigation in Retinal Microsurgery: Evaluation in ex vivo Porcine Eyes
Abstract: Important challenges in retinal microsurgery in-clude prolonged operating time, inadequate force feedback, and poor depth perception due to a constrained top-down view of the surgery. The introduction of robot-assi... | [
12320,
25435
] | Train |
38,381 | 10 | Title: Neurosymbolic AI - Why, What, and How
Abstract: Humans interact with the environment using a combination of perception - transforming sensory inputs from their environment into symbols, and cognition - mapping symbols to knowledge about the environment for supporting abstraction, reasoning by analogy, and long-t... | [
13510,
17127,
29458,
29554,
23484
] | Train |
38,382 | 6 | Title: Human–Computer Collaboration for Visual Analytics: an Agent‐based Framework
Abstract: The visual analytics community has long aimed to understand users better and assist them in their analytic endeavors. As a result, numerous conceptual models of visual analytics aim to formalize common workflows, techniques, an... | [] | Train |
38,383 | 4 | Title: A User-Based Authentication and DoS Mitigation Scheme for Wearable Wireless Body Sensor Networks
Abstract: Wireless Body Sensor Networks (WBSNs) is one of the greatest growing technology for sensing and performing various tasks. The information transmitted in the WBSNs is vulnerable to cyber-attacks, therefore s... | [] | Train |
38,384 | 24 | Title: Non-stationary Online Convex Optimization with Arbitrary Delays
Abstract: Online convex optimization (OCO) with arbitrary delays, in which gradients or other information of functions could be arbitrarily delayed, has received increasing attention recently. Different from previous studies that focus on stationary... | [] | Validation |
38,385 | 3 | Title: A Shift In Artistic Practices through Artificial Intelligence
Abstract: The explosion of content generated by Artificial Intelligence models has initiated a cultural shift in arts, music, and media, where roles are changing, values are shifting, and conventions are challenged. The readily available, vast dataset... | [
16284
] | Train |
38,386 | 10 | Title: Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images
Abstract: Photos serve as a way for humans to record what they experience in their daily lives, and they are often regarded as trustworthy sources of information. However, there is a growing concern that the advancemen... | [
42272,
30402,
33220,
17646,
34074,
22651
] | Test |
38,387 | 7 | Title: A highly efficient computational framework for fast scan-resolved simulations of metal additive manufacturing processes on the scale of real parts
Abstract: This article proposes a novel high-performance computing approach for the prediction of the temperature field in powder bed fusion (PBF) additive manufactur... | [] | Train |
38,388 | 13 | Title: EnforceSNN: Enabling resilient and energy-efficient spiking neural network inference considering approximate DRAMs for embedded systems
Abstract: Spiking Neural Networks (SNNs) have shown capabilities of achieving high accuracy under unsupervised settings and low operational power/energy due to their bio-plausib... | [
17578,
16110
] | Train |
38,389 | 30 | Title: How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases
Abstract: Accurate syntactic representations are essential for robust generalization in natural language. Recent work has found that pre-training can teach language models to rely on hierarchical ... | [
37179
] | Train |
38,390 | 30 | Title: Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning
Abstract: In cross-lingual named entity recognition (NER), self-training is commonly used to bridge the linguistic gap by training on pseudo-labeled target-language data. However, due to sub-optimal perform... | [
27057,
32457,
6613,
18902
] | Train |
38,391 | 30 | Title: Re-Reading Improves Reasoning in Language Models
Abstract: Reasoning presents a significant and challenging issue for Large Language Models (LLMs). The predominant focus of research has revolved around developing diverse prompting strategies to guide and structure the reasoning processes of LLMs. However, these ... | [
14592,
13700,
6797,
18041,
4634,
15004,
40610,
39602,
9907,
10165,
20794,
1595,
39873,
67,
33220,
2506,
33866,
6744,
30194,
38900,
43641
] | Validation |
38,392 | 2 | Title: Compositional Verification in Rewriting Logic
Abstract:
In previous work, summarized in this paper, we proposed an operation of parallel composition for rewriting-logic theories, allowing compositional specification of systems and reusability of components. The present paper focuses on compositional verificati... | [] | Train |
38,393 | 30 | Title: Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
Abstract: Counterspeech has been demonstrated to be an efficacious approach for combating hate speech. While various conventional and controlled approaches have been studied in recent ... | [] | Train |
38,394 | 16 | Title: Large-scale pretraining on pathological images for fine-tuning of small pathological benchmarks
Abstract: Pretraining a deep learning model on large image datasets is a standard step before fine-tuning the model on small targeted datasets. The large dataset is usually general images (e.g. imagenet2012) while the... | [] | Validation |
38,395 | 16 | Title: HeadSculpt: Crafting 3D Head Avatars with Text
Abstract: Recently, text-guided 3D generative methods have made remarkable advancements in producing high-quality textures and geometry, capitalizing on the proliferation of large vision-language and image diffusion models. However, existing methods still struggle t... | [
22464,
26625,
42272,
34020,
680,
23563,
34074,
15983,
11473,
16562,
6739,
2005,
34167,
16697,
14842,
541
] | Test |
38,396 | 24 | Title: Predictive Patentomics: Forecasting Innovation Success and Valuation with ChatGPT
Abstract: Analysis of innovation has been fundamentally limited by conventional approaches to broad, structural variables. This paper pushes the boundaries, taking an LLM approach to patent analysis with the groundbreaking ChatGPT ... | [] | Train |
38,397 | 30 | Title: Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
Abstract: We introduce Affective Visual Dialog, an emotion explanation and reasoning task as a testbed for research on understanding the formation of emotions in visually grounded conversations. The ... | [
22485
] | Train |
38,398 | 16 | Title: Exposing the Fake: Effective Diffusion-Generated Images Detection
Abstract: Image synthesis has seen significant advancements with the advent of diffusion-based generative models like Denoising Diffusion Probabilistic Models (DDPM) and text-to-image diffusion models. Despite their efficacy, there is a dearth of ... | [
37537,
34788,
29200,
7282,
3548
] | Test |
38,399 | 16 | Title: SAMSNeRF: Segment Anything Model (SAM) Guides Dynamic Surgical Scene Reconstruction by Neural Radiance Field (NeRF)
Abstract: The accurate reconstruction of surgical scenes from surgical videos is critical for various applications, including intraoperative navigation and image-guided robotic surgery automation. ... | [] | Train |
38,400 | 24 | Title: Interpretable Deep Clustering
Abstract: Clustering is a fundamental learning task widely used as a first step in data analysis. For example, biologists often use cluster assignments to analyze genome sequences, medical records, or images. Since downstream analysis is typically performed at the cluster level, pra... | [] | Train |
38,401 | 16 | Title: HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes
Abstract: Hyperbolic manifolds for visual representation learning allow for effective learning of semantic class hierarchies by naturally embedding tree-like structures with low distortion within a low-dimensional representation space.... | [
25568,
35433,
22826,
16843
] | Train |
38,402 | 23 | Title: An adaptable JSON Diff Framework
Abstract: In this paper, we present an implementation of JSON-diff framework JYCM, extending the existing framework by introducing the concept of"unordered"comparisons and allowing users to customize their comparison scenarios flexibly. Furthermore, we provide a diff-result rende... | [] | Validation |
38,403 | 3 | Title: Social Interactions Mediated by the Internet and the Big- Five: A Cross-Country Analysis (Short Paper)
Abstract: This study analyzes the possible relationship between personality traits, in terms of Big Five (extraversion, agreeableness, responsibility, emotional stability and openness to experience), and social... | [] | Test |
38,404 | 24 | Title: Safe DreamerV3: Safe Reinforcement Learning with World Models
Abstract: The widespread application of Reinforcement Learning (RL) in real-world situations is yet to come to fruition, largely as a result of its failure to satisfy the essential safety demands of such systems. Existing safe reinforcement learning (... | [
22816,
14319
] | Train |
38,405 | 30 | Title: LLM and Infrastructure as a Code use case
Abstract: Cloud computing and the evolution of management methodologies such as Lean Management or Agile entail a profound transformation in both system construction and maintenance approaches. These practices are encompassed within the term"DevOps."This descriptive appr... | [
43641,
13700
] | Test |
38,406 | 30 | Title: Interventional Probing in High Dimensions: An NLI Case Study
Abstract: Probing strategies have been shown to detectthe presence of various linguistic features inlarge language models; in particular, seman-tic features intermediate to the “natural logic”fragment of the Natural Language Inferencetask (NLI). In the... | [
18035,
31227
] | Test |
38,407 | 30 | Title: MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
Abstract: Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives. Most ADEs are reported via an unstructured conversation with the medical context, ... | [] | Validation |
38,408 | 24 | Title: Enhancing Semantic Communication with Deep Generative Models - An ICASSP Special Session Overview
Abstract: Semantic communication is poised to play a pivotal role in shaping the landscape of future AI-driven communication systems. Its challenge of extracting semantic information from the original complex conten... | [
15520,
5284,
41892,
12809,
31317,
46141
] | Train |
38,409 | 24 | Title: Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets
Abstract: Multi-output Gaussian processes (MOGPs) have been introduced to deal with multiple tasks by exploiting the correlations between different outputs. Generally, MOGPs models assume a flat correlation structure between the outputs. H... | [] | Train |
38,410 | 16 | Title: Insta(nt) Pet Therapy: GAN-generated Images for Therapeutic Social Media Content
Abstract: The positive therapeutic effect of viewing pet images online has been well-studied. However, it is difficult to obtain large-scale production of such content since it relies on pet owners to capture photographs and upload ... | [] | Validation |
38,411 | 24 | Title: Multi-Objective Hull Form Optimization with CAD Engine-based Deep Learning Physics for 3D Flow Prediction
Abstract: In this work, we propose a built-in Deep Learning Physics Optimization (DLPO) framework to set up a shape optimization study of the Duisburg Test Case (DTC) container vessel. We present two differe... | [] | Test |
38,412 | 24 | Title: What Constitutes Good Contrastive Learning in Time-Series Forecasting?
Abstract: In recent years, the introduction of self-supervised contrastive learning (SSCL) has demonstrated remarkable improvements in representation learning across various domains, including natural language processing and computer vision. ... | [
43062,
13510
] | Train |
38,413 | 16 | Title: Depth-based 6DoF Object Pose Estimation using Swin Transformer
Abstract: Accurately estimating the 6D pose of objects is crucial for many applications, such as robotic grasping, autonomous driving, and augmented reality. However, this task becomes more challenging in poor lighting conditions or when dealing with... | [
40140
] | Train |
38,414 | 30 | Title: Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Abstract: Autoregressive Transformers adopted in Large Language Models (LLMs) are hard to scale to long sequences. Despite several works trying to reduce their computational cost, most of LLMs still adopt attention layers between... | [
11809,
33220,
13700,
36179,
12851
] | Test |
38,415 | 30 | Title: Won’t Get Fooled Again: Answering Questions with False Premises
Abstract: Pre-trained language models (PLMs) have shown unprecedented potential in various fields, especially as the backbones for question-answering (QA) systems. However, they tend to be easily deceived by tricky questions such as “How many eyes d... | [] | Train |
38,416 | 24 | Title: Globally Optimal Training of Neural Networks with Threshold Activation Functions
Abstract: Threshold activation functions are highly preferable in neural networks due to their efficiency in hardware implementations. Moreover, their mode of operation is more interpretable and resembles that of biological neurons.... | [] | Train |
38,417 | 10 | Title: Toward a normative theory of (self-)management by goal-setting
Abstract: People are often confronted with problems whose complexity exceeds their cognitive capacities. To deal with this complexity, individuals and managers can break complex problems down into a series of subgoals. Which subgoals are most effecti... | [] | Validation |
38,418 | 23 | Title: TASTY: A Transformer based Approach to Space and Time complexity
Abstract: Code based Language Models (LMs) have shown very promising results in the field of software engineering with applications such as code refinement, code completion and generation. However, the task of time and space complexity classificati... | [] | Train |
38,419 | 24 | Title: Interpolation, Approximation and Controllability of Deep Neural Networks
Abstract: We investigate the expressive power of deep residual neural networks idealized as continuous dynamical systems through control theory. Specifically, we consider two properties that arise from supervised learning, namely universal ... | [] | Train |
38,420 | 28 | Title: Multi-Carrier Modulation: An Evolution from Time-Frequency Domain to Delay-Doppler Domain
Abstract: The recently proposed orthogonal delay-Doppler division multiplexing (ODDM) modulation, which is based on the new delay-Doppler (DD) domain orthogonal pulse (DDOP), is studied. A substantial benefit of the DDOP-ba... | [
1195
] | Test |
38,421 | 26 | Title: Disentangling and Operationalizing AI Fairness at LinkedIn
Abstract: Operationalizing AI fairness at LinkedIn’s scale is challenging not only because there are multiple mutually incompatible definitions of fairness but also because determining what is fair depends on the specifics and context of the product wher... | [
27687
] | Validation |
38,422 | 24 | Title: Action Pick-up in Dynamic Action Space Reinforcement Learning
Abstract: Most reinforcement learning algorithms are based on a key assumption that Markov decision processes (MDPs) are stationary. However, non-stationary MDPs with dynamic action space are omnipresent in real-world scenarios. Yet problems of dynami... | [] | Train |
38,423 | 30 | Title: CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
Abstract: As language models (LMs) become increasingly powerful, it is important to quantify and compare them for sociodemographic bias with potential for harm. Prior bias measurement datasets are sensitive to perturbations in thei... | [
43641,
26322,
109
] | Train |
38,424 | 30 | Title: German BERT Model for Legal Named Entity Recognition
Abstract: The use of BERT, one of the most popular language models, has led to improvements in many Natural Language Processing (NLP) tasks. One such task is Named Entity Recognition (NER) i.e. automatic identification of named entities such as location, perso... | [
42120,
13884
] | Train |
38,425 | 30 | Title: Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News
Abstract: This paper explains the participation of team Hitachi to SemEval-2023 Task 3 “Detecting the genre, the framing, and the persuasion techniques in online news in a multi-lingual se... | [] | Train |
38,426 | 23 | Title: Toward a Theory of Causation for Interpreting Neural Code Models
Abstract: Neural Language Models of Code, or Neural Code Models (NCMs), are rapidly progressing from research prototypes to commercial developer tools. As such, understanding the capabilities and limitations of such models is becoming critical. How... | [
1200,
19469
] | Train |
38,427 | 34 | Title: Online Task Assignment with Controllable Processing Time
Abstract: We study a new online assignment problem, called the Online Task Assignment with Controllable Processing Time. In a bipartite graph, a set of online vertices (tasks) should be assigned to a set of offline vertices (machines) under the known adver... | [] | Train |
38,428 | 24 | Title: Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series
Abstract: Existing black box modeling approaches in machine learning suffer from a fixed input and output feature combination. In this paper, a new approach to reconstruct missing variables in a set of time series is present... | [] | Test |
38,429 | 33 | Title: Real-time Regular Expression Matching
Abstract: This paper is devoted to finite state automata, regular expression matching, pattern recognition, and the exponential blow-up problem, which is the growing complexity of automata exponentially depending on regular expression length. This paper presents a theoretica... | [] | Test |
38,430 | 27 | Title: Learning Exploration Strategies to Solve Real-World Marble Runs
Abstract: Tasks involving locally unstable or discontinuous dynamics (such as bifurcations and collisions) remain challenging in robotics, because small variations in the environment can have a significant impact on task outcomes. For such tasks, le... | [] | Train |
38,431 | 16 | Title: Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images
Abstract: Keypoint detection and matching is a fundamental task in many computer vision problems, from shape reconstruction, to structure from motion, to AR/VR applications and robotics. It is a well-studied problem with ... | [] | Train |
38,432 | 11 | Title: Spatial community structure impedes language amalgamation in a population-based iterated learning model
Abstract: The iterated learning model is an agent-based model of language evolution notable for demonstrating the emergence of compositional language. In its original form, it modelled language evolution along... | [
32434
] | Train |
38,433 | 36 | Title: Game theoretic foundations of the Gately power measure for directed networks
Abstract: We introduce a new network centrality measure founded on the Gately value for cooperative games with transferable utilities. A directed network is interpreted as representing control or authority relations between players--con... | [] | Test |
38,434 | 27 | Title: Flexible Gear Assembly With Visual Servoing and Force Feedback
Abstract: Gear assembly is an essential but challenging task in industrial automation. This paper presents a novel two-stage approach for achieving high-precision and flexible gear assembly. The proposed approach integrates YOLO to coarsely localize ... | [] | Test |
38,435 | 16 | Title: STint: Self-supervised Temporal Interpolation for Geospatial Data
Abstract: Supervised and unsupervised techniques have demonstrated the potential for temporal interpolation of video data. Nevertheless, most prevailing temporal interpolation techniques hinge on optical flow, which encodes the motion of pixels be... | [] | Train |
38,436 | 30 | Title: Make Every Example Count: On Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
Abstract: Increasingly larger datasets have become a standard ingredient to advancing the state of the art in NLP. However, data quality might have already become the bottleneck to unlock further gains. Give... | [] | Train |
38,437 | 16 | Title: Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses
Abstract: Learning-based visual relocalizers exhibit leading pose accuracy, but require hours or days of training. Since training needs to happen on each new scene again, long training times make learning-based relocalization ... | [] | Test |
38,438 | 5 | Title: Large-scale Data Modelling in Hive and Distributed Query Processing using MapReduce and Tez
Abstract: Huge amounts of data being generated continuously by digitally interconnected systems of humans, organizations and machines. Data comes in variety of formats including structured, unstructured and semi-structure... | [] | Train |
38,439 | 23 | Title: Securing Safety in Collaborative Cyber-Physical Systems through Fault Criticality Analysis
Abstract: Collaborative Cyber-Physical Systems (CCPS) are systems that contain tightly coupled physical and cyber components, massively interconnected subsystems, and collaborate to achieve a common goal. The safety of a s... | [] | Test |
38,440 | 4 | Title: Two-Dimensional Dynamic Fusion for Continuous Authentication
Abstract: Continuous authentication has been widely studied to provide high security and usability for mobile devices by continuously monitoring and authenticating users. Recent studies adopt multibiometric fusion for continuous authentication to provi... | [] | Test |
38,441 | 25 | Title: A Long-Tail Friendly Representation Framework for Artist and Music Similarity
Abstract: The investigation of the similarity between artists and music is crucial in music retrieval and recommendation, and addressing the challenge of the long-tail phenomenon is increasingly important. This paper proposes a Long-Ta... | [] | Train |
38,442 | 25 | Title: SpatialNet: Extensively Learning Spatial Information for Multichannel Joint Speech Separation, Denoising and Dereverberation
Abstract: This work proposes a neural network to extensively exploit spatial information for multichannel joint speech separation, denoising and dereverberation, named SpatialNet.In the sh... | [
36664
] | Train |
38,443 | 25 | Title: Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping
Abstract: Visual Speech Recognition (VSR) differs from the common perception tasks as it requires deeper reasoning over the video sequence, even by human experts. Despite the recent advances in VSR... | [
18030
] | Train |
38,444 | 24 | Title: Clip21: Error Feedback for Gradient Clipping
Abstract: Motivated by the increasing popularity and importance of large-scale training under differential privacy (DP) constraints, we study distributed gradient methods with gradient clipping, i.e., clipping applied to the gradients computed from local information a... | [] | Test |
38,445 | 30 | Title: PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in Conversation
Abstract: Conversational Causal Emotion Entailment (C2E2) is a task that aims at recognizing the causes corresponding to a target emotion in a conversation. The order of utterances in the conversation affects the causal inferen... | [
13760
] | Train |
38,446 | 5 | Title: Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks
Abstract: By opportunistically engaging mobile users (workers), mobile crowdsensing (MCS) networks have emerged as important approach to facilitate sharing of sensed/gathered data of heterogeneous mobile devices. ... | [] | Validation |
38,447 | 6 | Title: ChatGPT Is More Likely to Be Perceived as Male Than Female
Abstract: We investigate how people perceive ChatGPT, and, in particular, how they assign human-like attributes such as gender to the chatbot. Across five pre-registered studies (N = 1,552), we find that people are more likely to perceive ChatGPT to be m... | [
23462
] | Train |
38,448 | 8 | Title: Analysis and Design of VANET Protocols for Srinagar City
Abstract: Vehicular ad-hoc network (VANET) is subclass of mobile ad-hoc network which is vehicle to vehicle and vehicle to infrastructure communication environment, where nodes involve themselves as servers and/or clients to exchange and share information.... | [] | Test |
38,449 | 23 | Title: No Code AI: Automatic Generation of Function Block Diagrams from Documentation and Associated Heuristic for Context-Aware ML Algorithm Training
Abstract: Industrial process engineering and PLC program development have traditionally favored Function Block Diagram (FBD) programming over classical imperative style ... | [
39147,
38811,
36111
] | Train |
38,450 | 30 | Title: Sample Attackability in Natural Language Adversarial Attacks
Abstract: Adversarial attack research in natural language processing (NLP) has made significant progress in designing powerful attack methods and defence approaches. However, few efforts have sought to identify which source samples are the most attacka... | [
46173
] | Validation |
38,451 | 11 | Title: Swarm Reinforcement Learning For Adaptive Mesh Refinement
Abstract: The Finite Element Method, an important technique in engineering, is aided by Adaptive Mesh Refinement (AMR), which dynamically refines mesh regions to allow for a favorable trade-off between computational speed and simulation accuracy. Classica... | [
35208,
21139,
34524
] | Test |
38,452 | 16 | Title: EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
Abstract: Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to visual stimuli. This is a promising, yet challenging, task in affective computing, which has drawn increasing attention in recent years. Most of the existin... | [
20085
] | Train |
38,453 | 30 | Title: IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
Abstract: With the increasing size of pre-trained language models (PLMs), fine-tuning all the parameters in the model is not efficient, especially when there are a large number of downstream tasks, which incur significant trai... | [
13700,
34772,
5815,
21178,
32635,
37919
] | Validation |
38,454 | 30 | Title: Task formulation for Extracting Social Determinants of Health from Clinical Narratives
Abstract: Objective The 2022 n2c2 NLP Challenge posed identification of social determinants of health (SDOH) in clinical narratives. We present three systems that we developed for the challenge and discuss the distinctive task... | [
31265,
31578,
18539,
38575
] | Train |
38,455 | 23 | Title: Empathy Models and Software Engineering - A Preliminary Analysis and Taxonomy
Abstract: Empathy is widely used in many disciplines such as philosophy, sociology, psychology, health care. Ability to empathise with software end-users seems to be a vital skill software developers should possess. This is because eng... | [] | Validation |
38,456 | 4 | Title: Security Weaknesses in IoT Management Platforms
Abstract: A diverse set of Internet of Things (IoT) devices are becoming an integrated part of daily lives, and playing an increasingly vital role in various industry, enterprise and agricultural settings. The current IoT ecosystem relies on several IoT management ... | [] | Train |
38,457 | 27 | Title: Naming Objects for Vision-and-Language Manipulation
Abstract: Robot manipulation tasks by natural language instructions need common understanding of the target object between human and the robot. However, the instructions often have an interpretation ambiguity, because the instruction lacks important information... | [
26484
] | Validation |
38,458 | 25 | Title: Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays
Abstract: The performance of speaker verification degrades significantly in adverse acoustic environments with strong reverberation and noise. To address this issue, this paper proposes a spatial-temporal graph convolut... | [] | Validation |
38,459 | 27 | Title: A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems
Abstract: Knowledge about the own pose is key for all mobile robot applications. Thus pose estimation is part of the core functionalities of mobile robots. Over the last two decades, LiDAR scanners have become the standard sensor for r... | [
21424,
8514,
25150
] | Train |
38,460 | 30 | Title: Constructing Colloquial Dataset for Persian Sentiment Analysis of Social Microblogs
Abstract: Introduction: Microblogging websites have massed rich data sources for sentiment analysis and opinion mining. In this regard, sentiment classification has frequently proven inefficient because microblog posts typically ... | [] | Test |
38,461 | 16 | Title: Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
Abstract: Recent works show that the data distribution in a network's latent space is useful for estimating classification uncertainty and detecting Out-of-distribution (OOD) samples. To obtain a well-regula... | [] | Train |
38,462 | 16 | Title: Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
Abstract: In recent years, vision language pre-training frameworks have made significant progress in natural language processing and computer vision, achieving remarkable performance improvement on various downstream tasks. ... | [
10624
] | Test |
38,463 | 16 | Title: Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation
Abstract: Gait Recognition is a computer vision task aiming to identify people by their walking patterns. Although existing methods often show high performance on specific datasets, they lack the ability to generalize ... | [
13479
] | Train |
38,464 | 10 | Title: Ontology engineering with Large Language Models
Abstract: We tackle the task of enriching ontologies by automatically translating natural language sentences into Description Logic. Since Large Language Models (LLMs) are the best tools for translations, we fine-tuned a GPT-3 model to convert Natural Language sent... | [
41426,
45646
] | Test |
38,465 | 16 | Title: Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Abstract: Text-to-image generative models have attracted rising attention for flexible image editing via user-specified descriptions. However, text descriptions alone are not enough to elaborate the details ... | [
10624,
35940,
12874,
15983,
34167,
34074
] | Train |
38,466 | 31 | Title: A Critical Reexamination of Intra-List Distance and Dispersion
Abstract: Diversification of recommendation results is a promising approach for coping with the uncertainty associated with users' information needs. Of particular importance in diversified recommendation is to define and optimize an appropriate dive... | [] | Train |
38,467 | 4 | Title: "My sex-related data is more sensitive than my financial data and I want the same level of security and privacy": User Risk Perceptions and Protective Actions in Female-oriented Technologies
Abstract: The digitalization of the reproductive body has engaged myriads of cutting-edge technologies in supporting peopl... | [
30240
] | Validation |
38,468 | 23 | Title: Software Product Line Engineering via Software Transplantation
Abstract: For companies producing related products, a Software Product Line (SPL) is a software reuse method that improves time-to-market and software quality, achieving substantial cost reductions.These benefits do not come for free. It often takes ... | [] | Test |
38,469 | 13 | Title: Particle Swarm Optimization in 3D Medical Image Registration: A Systematic Review
Abstract: Medical image registration seeks to find an optimal spatial transformation that best aligns the underlying anatomical structures. These problems usually require the optimization of a similarity metric. Swarm Intelligence ... | [] | Validation |
38,470 | 10 | Title: A Theory of Bounded Inductive Rationality
Abstract: The dominant theories of rational choice assume logical omniscience. That is, they assume that when facing a decision problem, an agent can perform all relevant computations and determine the truth value of all relevant logical/mathematical claims. This assumpt... | [] | Train |
38,471 | 28 | Title: MSR codes with linear field size and smallest sub-packetization for any number of helper nodes
Abstract: The sub-packetization $\ell$ and the field size $q$ are of paramount importance in the MSR array code constructions. For optimal-access MSR codes, Balaji et al. proved that $\ell\geq s^{\left\lceil n/s \right... | [
10990
] | Train |
38,472 | 27 | Title: 4D iRIOM: 4D Imaging Radar Inertial Odometry and Mapping
Abstract: Millimeter wave radar can measure distances, directions, and Doppler velocity for objects in harsh conditions such as fog. The 4D imaging radar with both vertical and horizontal data resembling an image can also measure objects' height. Previous ... | [
42995,
27884
] | Test |
38,473 | 11 | Title: Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation
Abstract: Multi-robot navigation is the task of finding trajectories for a team of robotic agents to reach their destinations as quickly as possible without collisions. In this work, we introduce a new problem: fair-delay multi-robot navigation... | [] | Train |
38,474 | 3 | Title: Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison
Abstract: With the emergence of short video-sharing platforms, engagement with social media sites devoted to opinion and knowledge dissemination has rapidly increased. Among the short video platforms, TikTok is one of the most... | [] | Train |
38,475 | 23 | Title: 2nd International Workshop on Requirements Engineering and Testing (RET 2015)
Abstract: The RET (Requirements Engineering and Testing) workshop provides a meeting point for researchers and practitioners from the two separate fields of Requirements Engineering (RE) and Testing. The goal is to improve the connecti... | [
30214,
46127
] | Train |
38,476 | 16 | Title: Evaluation of Confidence-based Ensembling in Deep Learning Image Classification
Abstract: Ensembling is a successful technique to improve the performance of machine learning (ML) models. Conf-Ensemble is an adaptation to Boosting to create ensembles based on model confidence instead of model errors to better cla... | [] | Validation |
38,477 | 16 | Title: Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles
Abstract: Cancer detection and classification from gigapixel whole slide images of stained tissue specimens has recently experienced enormous progress in computational histopathology. The limitation of available pixel-wise annotated... | [] | Test |
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