node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
22,078 | 24 | Title: Active Reinforcement Learning under Limited Visual Observability
Abstract: In this work, we investigate Active Reinforcement Learning (Active-RL), where an embodied agent simultaneously learns action policy for the task while also controlling its visual observations in partially observable environments. We denot... | [
7224,
4092
] | Train |
22,079 | 6 | Title: Improving Surgical Situational Awareness with Signed Distance Field: A Pilot Study in Virtual Reality
Abstract: The introduction of image-guided surgical navigation (IGSN) has greatly benefited technically demanding surgical procedures by providing real-time support and guidance to the surgeon during surgery. \h... | [
39240
] | Test |
22,080 | 16 | Title: Heterogeneous Forgetting Compensation for Class-Incremental Learning
Abstract: Class-incremental learning (CIL) has achieved remarkable successes in learning new classes consecutively while overcoming catastrophic forgetting on old categories. However, most existing CIL methods unreasonably assume that all old c... | [
23777,
39074,
7175,
42443,
41813,
41176
] | Test |
22,081 | 16 | Title: Text-to-image Editing by Image Information Removal
Abstract: Diffusion models have demonstrated impressive performance in text-guided image generation. To leverage the knowledge of text-guided image generation models in image editing, current approaches either fine-tune the pretrained models using the input imag... | [
34074,
1717,
10070
] | Train |
22,082 | 32 | Title: Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries
Abstract: FFTc is a Domain-Specific Language (DSL) for designing and generating Fast Fourier Transforms (FFT) libraries. The FFTc uniqueness is that it leverages and extend Multi-Level Intermediate Representation (MLIR) dialects to optimize ... | [] | Validation |
22,083 | 30 | Title: Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection
Abstract: Knowledge distillation addresses the problem of transferring knowledge from a teacher model to a student model. In this process, we typically have multiple types of knowledge extracted from the teacher model. The pr... | [
8069,
16822
] | Train |
22,084 | 10 | Title: Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
Abstract: Role-based learning is a promising approach to improving the performance of Multi-Agent Reinforcement Learning (MARL). Nevertheless, without manual assistance, current role-based methods cannot guarantee stab... | [
29960,
17478
] | Train |
22,085 | 24 | Title: Bayesian post-hoc regularization of random forests
Abstract: Random Forests are powerful ensemble learning algorithms widely used in various machine learning tasks. However, they have a tendency to overfit noisy or irrelevant features, which can result in decreased generalization performance. Post-hoc regulariza... | [] | Test |
22,086 | 30 | Title: Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech Recognition
Abstract: In this paper, we propose a language-universal adapter learning framework based on a pre-trained model for end-to-end multilingual automatic speech recognition (ASR). For acoustic modeling, th... | [] | Validation |
22,087 | 24 | Title: Online Nonstochastic Control with Adversarial and Static Constraints
Abstract: This paper studies online nonstochastic control problems with adversarial and static constraints. We propose online nonstochastic control algorithms that achieve both sublinear regret and sublinear adversarial constraint violation whi... | [] | Validation |
22,088 | 24 | Title: Learning the Positions in CountSketch
Abstract: We consider sketching algorithms which first compress data by multiplication with a random sketch matrix, and then apply the sketch to quickly solve an optimization problem, e.g., low-rank approximation and regression. In the learning-based sketching paradigm propo... | [
36254
] | Train |
22,089 | 4 | Title: A Process Model to Improve Information Security Governance in Organisations
Abstract: Information security governance (ISG) is a relatively new and under-researched topic. A review of literature shows the lack of an ISG framework or model that can help the implementation of ISG. This research aims to introduce a... | [] | Test |
22,090 | 34 | Title: An Improved Approximation Algorithm for the Minimum 2-Vertex-Connected Spanning Subgraph Problem
Abstract: We provide an algorithm for the minimum 2-vertex-connected spanning subgraph problem with approximation ratio $\frac{4}{3}$, improving upon the previous best factor $\frac{10}{7}$. | [] | Validation |
22,091 | 8 | Title: Towards Developing Resilient and Service-oriented Mission-critical Systems
Abstract: Mission-critical systems (MCSs) have embraced new design paradigms such as service-oriented architecture (SOA) and IEEE 802.1 Time-sensitive Networking (TSN). These approaches tackle the static and closed-loop design and configu... | [
42658
] | Train |
22,092 | 28 | Title: A Rank-One Optimization Framework and Its Applications to Transmit Beamforming
Abstract: This paper proposes an elegant optimization framework consisting of a mix of linear-matrix-inequality and second-order-cone constraints. The proposed framework generalizes the semidefinite relaxation (SDR) enabled solution t... | [] | Test |
22,093 | 16 | Title: $\Delta$-Networks for Efficient Model Patching
Abstract: Models pre-trained on large-scale datasets are often finetuned to support newer tasks and datasets that arrive over time. This process necessitates storing copies of the model over time for each task that the pre-trained model is finetuned to. Building on ... | [] | Train |
22,094 | 27 | Title: GRID: Scene-Graph-based Instruction-driven Robotic Task Planning
Abstract: Recent works have shown that Large Language Models (LLMs) can promote grounding instructions to robotic task planning. Despite the progress, most existing works focused on utilizing raw images to help LLMs understand environmental informa... | [
30049,
3398,
31755,
39733,
21782,
13564
] | Train |
22,095 | 16 | Title: Recursive Video Lane Detection
Abstract: A novel algorithm to detect road lanes in videos, called recursive video lane detector (RVLD), is proposed in this paper, which propagates the state of a current frame recursively to the next frame. RVLD consists of an intra-frame lane detector (ILD) and a predictive lane... | [] | Validation |
22,096 | 3 | Title: Helping Fact-Checkers Identify Fake News Stories Shared through Images on WhatsApp
Abstract: WhatsApp has introduced a novel avenue for smartphone users to engage with and disseminate news stories. The convenience of forming interest-based groups and seamlessly sharing content has rendered WhatsApp susceptible t... | [] | Train |
22,097 | 23 | Title: Software Testing with Large Language Model: Survey, Landscape, and Vision
Abstract: Pre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with the ability to handle large-scale datasets and exhibit remarkable perfor... | [
40192,
25227,
38543,
18960,
26647,
17054,
12318,
9635,
26793,
43186,
34872,
33086,
36159,
6604,
20173,
27340,
6736,
6866,
36317,
12002,
31215,
5234,
40565,
20598,
3448,
43003,
9471
] | Test |
22,098 | 30 | Title: Fine-Tuning Language Models with Advantage-Induced Policy Alignment
Abstract: Reinforcement learning from human feedback (RLHF) has emerged as a reliable approach to aligning large language models (LLMs) to human preferences. Among the plethora of RLHF techniques, proximal policy optimization (PPO) is of the mos... | [
21706,
25772
] | Test |
22,099 | 24 | Title: Replicability and stability in learning
Abstract: Replicability is essential in science as it allows us to validate and verify research findings. Impagliazzo, Lei, Pitassi and Sorrell (`22) recently initiated the study of replicability in machine learning. A learning algorithm is replicable if it typically produ... | [
16853,
7581,
15781
] | Test |
22,100 | 15 | Title: ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators
Abstract: Image processing algorithms are prime targets for hardware acceleration as they are commonly used in resource- and power-limited applications. Today's image processing accelerator designs make rigid ass... | [] | Train |
22,101 | 16 | Title: Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input
Abstract: nan | [] | Train |
22,102 | 27 | Title: Data Quality in Imitation Learning
Abstract: In supervised learning, the question of data quality and curation has been over-shadowed in recent years by increasingly more powerful and expressive models that can ingest internet-scale data. However, in offline learning for robotics, we simply lack internet scale d... | [
1121,
8994,
4385,
12567,
1438
] | Train |
22,103 | 30 | Title: Do Transformers Parse while Predicting the Masked Word?
Abstract: Pre-trained language models have been shown to encode linguistic structures, e.g. dependency and constituency parse trees, in their embeddings while being trained on unsupervised loss functions like masked language modeling. Some doubts have been ... | [
26657,
15973,
27880,
24105,
24635,
8436,
7643
] | Test |
22,104 | 3 | Title: The Growth of E-Bike Use: A Machine Learning Approach
Abstract: We present our work on electric bicycles (e-bikes) and their implications for policymakers in the United States. E-bikes have gained significant popularity as a fast and eco-friendly transportation option. As we strive for a sustainable energy plan,... | [] | Validation |
22,105 | 5 | Title: Differentially Private Federated Clustering over Non-IID Data
Abstract: In this paper, we investigate federated clustering (FedC) problem, that aims to accurately partition unlabeled data samples distributed over massive clients into finite clusters under the orchestration of a parameter server, meanwhile consid... | [] | Train |
22,106 | 16 | Title: Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition
Abstract: Recent advances in handwritten text recognition enabled to recognize whole documents in an end-to-end way: the Document Attention Network (DAN) recognizes the characters one after the othe... | [] | Test |
22,107 | 16 | Title: Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification
Abstract: Generalizable person re-identification (Re-ID) is a very hot research topic in machine learning and computer vision, which plays a significant role in realistic scenarios due to its various applications in public secur... | [
1612
] | Validation |
22,108 | 30 | Title: Unsupervised Open-domain Keyphrase Generation
Abstract: In this work, we study the problem of unsupervised open-domain keyphrase generation, where the objective is a keyphrase generation model that can be built without using human-labeled data and can perform consistently across domains. To solve this problem, w... | [] | Train |
22,109 | 16 | Title: Learning to Detect Touches on Cluttered Tables
Abstract: We present a novel self-contained camera-projector tabletop system with a lamp form-factor that brings digital intelligence to our tables. We propose a real-time, on-device, learning-based touch detection algorithm that makes any tabletop interactive. The ... | [] | Train |
22,110 | 6 | Title: Communicating Intel to Decision-Makers: Toward the Integration Text and Charts in Reports
Abstract: Intelligence analysts' roles include analyzing reports, identifying important information relevant to the current state of affairs, and communicating their takeaways. These reports are then analyzed and reported t... | [
18505,
19051
] | Validation |
22,111 | 30 | Title: Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification
Abstract: This paper describes the second-placed approach developed by the Fraunhofer SIT team in the CLEF-2023 CheckThat! lab Task 1B for English. Given a text snippet fro... | [] | Test |
22,112 | 11 | Title: Discriminatory or Samaritan - which AI is needed for humanity? An Evolutionary Game Theory Analysis of Hybrid Human-AI populations
Abstract: As artificial intelligence (AI) systems are increasingly embedded in our lives, their presence leads to interactions that shape our behaviour, decision-making, and social i... | [
27150
] | Train |
22,113 | 4 | Title: Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights
Abstract: The number of disclosed vulnerabilities has been steadily increasing over the years. At the same time, organizations face significant challenges patching their systems, leading to a need to prioritize... | [
37910
] | Test |
22,114 | 24 | Title: VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
Abstract: In this paper, we propose a Vision-Audio-Language Omni-peRception pretraining model (VALOR) for multi-modal understanding and generation. Different from widely-studied vision-language pretraining models, VALOR jointly models rel... | [
22432,
26721,
14086,
26089,
16685,
27572,
22324,
1016,
40921,
26109
] | Train |
22,115 | 27 | Title: ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application
Abstract: This paper introduces a novel method for translating natural-language instructions into executable robot actions using OpenAI’s ChatGPT in a few-shot setting. We propose customizable input prompts for ChatGPT that can... | [
45318,
22288,
12305,
8084,
14240,
38946,
21541,
295,
33197,
32045,
13239,
826,
38083,
21189,
21702,
8138,
39114,
1496,
21476,
23013,
44010,
37100,
6255,
42355,
22518,
41336,
43641
] | Test |
22,116 | 13 | Title: SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
Abstract: Large language Models (LLMs), though growing exceedingly powerful, comprises of orders of magnitude less neurons and synapses than the human brain. However, it requires significantly more power/energy to operat... | [
5960
] | Train |
22,117 | 16 | Title: MMViT: Multiscale Multiview Vision Transformers
Abstract: We present Multiscale Multiview Vision Transformers (MMViT), which introduces multiscale feature maps and multiview encodings to transformer models. Our model encodes different views of the input signal and builds several channel-resolution feature stages... | [] | Train |
22,118 | 16 | Title: Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition
Abstract: Autonomous navigation in underwater environments presents challenges due to factors such as light absorption and water turbidity, limiting the effectiveness of optical sensors. Sonar systems are c... | [] | Train |
22,119 | 24 | Title: Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Abstract: Since their inception in 2014, Generative Adversarial Networks (GANs) have rapidly emerged as powerful tools for generating realistic and diverse data across various domains, including computer vision and other applied ar... | [
16504,
7597,
9767
] | Train |
22,120 | 34 | Title: Correlation decay up to the sampling threshold in the local lemma regime
Abstract: We study the decay of correlation between locally constrained independent random variables in the local lemma regimes. the distribution defined by constraint satisfaction problems (CSPs) in the local lemma regime. For atomically c... | [] | Test |
22,121 | 10 | Title: Creating knowledge graphs for geographic data on the web
Abstract: Geographic data plays an essential role in various Web, Semantic Web and machine learning applications. OpenStreetMap and knowledge graphs are critical complementary sources of geographic data on the Web. However, data veracity, the lack of integ... | [] | Train |
22,122 | 27 | Title: RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics
Abstract: Intelligent robots are designed to effectively navigate dynamic and unpredictable environments laden with moving mechanical elements and objects. Such environment-induced dynamics, including moving obstacles, can readily... | [
1858,
4643,
33220,
26277,
7558,
6895,
21172,
17690
] | Train |
22,123 | 24 | Title: Real-Time Evaluation in Online Continual Learning: A New Hope
Abstract: Current evaluations of Continual Learning (CL) methods typically assume that there is no constraint on training time and computation. This is an unrealistic assumption for any real-world setting, which motivates us to propose: a practical re... | [
41032
] | Train |
22,124 | 24 | Title: A Transfer Learning Approach to Minimize Reinforcement Learning Risks in Energy Optimization for Smart Buildings
Abstract: Energy optimization leveraging artificially intelligent algorithms has been proven effective. However, when buildings are commissioned, there is no historical data that could be used to trai... | [] | Train |
22,125 | 36 | Title: Universally Robust Information Aggregation for Binary Decisions
Abstract: We study a setting with a decision maker making a binary decision by aggregating information from symmetric agents. Each agent provides the decision maker a recommendation depending on her private signal about the hidden state. We assume t... | [] | Train |
22,126 | 16 | Title: A Survey on Video Moment Localization
Abstract: Video moment localization, also known as video moment retrieval, aims to search a target segment within a video described by a given natural language query. Beyond the task of temporal action localization whereby the target actions are pre-defined, video moment ret... | [
11120,
38829
] | Train |
22,127 | 4 | Title: A Systematic Approach to Automotive Security
Abstract: nan | [] | Validation |
22,128 | 28 | Title: Electromagnetic-Compliant Channel Modeling and Performance Evaluation for Holographic MIMO
Abstract: Recently, the concept of holographic multiple-input multiple-output (MIMO) is emerging as one of the promising technologies beyond massive MIMO. Many challenges need to be addressed to bring this novel idea into ... | [
44352,
4781
] | Validation |
22,129 | 4 | Title: Attacking logo-based phishing website detectors with adversarial perturbations
Abstract: Recent times have witnessed the rise of anti-phishing schemes powered by deep learning (DL). In particular, logo-based phishing detectors rely on DL models from Computer Vision to identify logos of well-known brands on webpa... | [] | Train |
22,130 | 30 | Title: CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia
Abstract: Debatepedia is a publicly available dataset consisting of arguments and counter-arguments on controversial topics that has been widely used for the single-document query-focused abstractive summarizat... | [
12128,
20228,
26357,
12087,
35545,
43930,
35580,
44189,
6942
] | Test |
22,131 | 3 | Title: Towards Goldilocks Zone in Child-centered AI
Abstract: Using YouTube Kids as an example, in this work, we argue the need to understand a child's interaction process with AI and its broader implication on a child's emotional, social, and creative development. We present several design recommendations to create va... | [] | Train |
22,132 | 26 | Title: Creating a Systematic ESG (Environmental Social Governance) Scoring System Using Social Network Analysis and Machine Learning for More Sustainable Company Practices
Abstract: Environmental Social Governance (ESG) is a widely used metric that measures the sustainability of a company practices. Currently, ESG is d... | [] | Train |
22,133 | 30 | Title: Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Abstract: Obtaining human-interpretable explanations of large, general-purpose language models is an urgent goal for AI safety. However, it is just as important that our interpretability methods are faithful to the causal dynamics underlying mode... | [
36769,
13955,
13700,
13349,
29414,
29583,
4434,
43667,
19159,
21880,
23230,
33439
] | Test |
22,134 | 24 | Title: Rigid body flows for sampling molecular crystal structures
Abstract: Normalizing flows (NF) are a class of powerful generative models that have gained popularity in recent years due to their ability to model complex distributions with high flexibility and expressiveness. In this work, we introduce a new type of ... | [
4418,
2731,
42826
] | Validation |
22,135 | 24 | Title: Learning Environment for the Air Domain (LEAD)
Abstract: A substantial part of fighter pilot training is simulation-based and involves computer-generated forces controlled by predefined behavior models. The behavior models are typically manually created by eliciting knowledge from experienced pilots, which is a ... | [] | Test |
22,136 | 28 | Title: Performance Analysis of RIS/STAR-IOS-aided V2V NOMA/OMA Communications over Composite Fading Channels
Abstract: This paper investigates the performance of vehicleto-vehicle (V2V) communications assisted by a reconfigurable intelligent surface (RIS) and a simultaneous transmitting and reflecting intelligent omni-... | [
25984
] | Validation |
22,137 | 22 | Title: Type-based Qubit Allocation for a First-Order Quantum Programming Language
Abstract: Qubit allocation is a process to assign physical qubits to logical qubits in a quantum program. Since some quantum computers have connectivity constraints on applications of two-qubit operations, it is mainly concerned with find... | [] | Train |
22,138 | 30 | Title: An Adversarial Multi-task Learning Method for Chinese Text Correction with Semantic Detection
Abstract: nan | [] | Train |
22,139 | 16 | Title: 2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
Abstract: The commonly adopted detect-then-match approach to registration finds difficulties in the cross-modality cases due to the incompatible keypoint detection and inconsistent feature description. We propos... | [] | Validation |
22,140 | 24 | Title: AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions
Abstract: Accurately modeling complex, multimodal distributions is necessary for optimal decision-making, but doing so for rotations in three-dimensions, i.e., the SO (3) group, is challenging due to the curv... | [] | Test |
22,141 | 16 | Title: SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation
Abstract: Accurate segmentation of colonoscopic polyps is considered a fundamental step in medical image analysis and surgical interventions. Many recent studies have made improvements based on the encoder-decoder framework, which c... | [
33098
] | Test |
22,142 | 16 | Title: Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Abstract: It is an open secret that ImageNet is treated as the panacea of pretraining. Particularly in medical machine learning, models not trained from scratch are often finetuned based on Imag... | [] | Train |
22,143 | 4 | Title: A Comprehensive Analysis on the Leakage of Fuzzy Matchers
Abstract: This paper provides a comprehensive analysis of information leakage during distance evaluation, with an emphasis on threshold-based obfuscated distance (i.e., Fuzzy Matcher). Leakage can occur due to a malware infection or the use of a weakly pr... | [] | Train |
22,144 | 23 | Title: Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities
Abstract: Background: Despite the widespread use of automated security defect detection tools, software projects still contain many security defects that could result in serious damage. Such tools are largely context-insensiti... | [] | Train |
22,145 | 16 | Title: Data Augmentation for Human Behavior Analysis in Multi-Person Conversations
Abstract: In this paper, we present the solution of our team HFUT-VUT for the MultiMediate Grand Challenge 2023 at ACM Multimedia 2023. The solution covers three sub-challenges: bodily behavior recognition, eye contact detection, and nex... | [
30461,
45519
] | Train |
22,146 | 24 | Title: Over-the-Air Federated Learning in Satellite systems
Abstract: Federated learning in satellites offers several advantages. Firstly, it ensures data privacy and security, as sensitive data remains on the satellites and is not transmitted to a central location. This is particularly important when dealing with sens... | [] | Train |
22,147 | 16 | Title: Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction
Abstract: Image diffusion has recently shown remarkable performance in image synthesis and implicitly as an image prior. Such a prior has been used with conditioning to solve the inpainting problem, but only support... | [] | Train |
22,148 | 30 | Title: ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Abstract: Augmenting large language models (LLMs) with external tools has emerged as a promising approach to solving complex problems. However, traditional methods, which finetune LLMs with tool demonstration data, can be both c... | [
7936,
27138,
37252,
13700,
28294,
24087,
9499,
7198,
32286,
19747,
6958,
33455,
6963,
10165,
10293,
29753,
22331,
21180,
29757,
12606,
13510,
39114,
9812,
2801,
41336,
634,
45182,
3967
] | Validation |
22,149 | 16 | Title: LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation
Abstract: Data extraction from line-chart images is an essential component of the automated document understanding process, as line charts are a ubiquitous data visualization format. However, the amount of visual and structural variations... | [] | Train |
22,150 | 27 | Title: Robot Behavior-Tree-Based Task Generation with Large Language Models
Abstract: Nowadays, the behavior tree is gaining popularity as a representation for robot tasks due to its modularity and reusability. Designing behavior-tree tasks manually is time-consuming for robot end-users, thus there is a need for invest... | [
42126
] | Train |
22,151 | 6 | Title: ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision Users
Abstract: Blind and low vision (BLV) users often rely on alt text to understand what a digital image is showing. However, recent research has investigated how touch-based image exploration on touchscreens ... | [] | Validation |
22,152 | 24 | Title: A Survey of Meta-Reinforcement Learning
Abstract: While deep reinforcement learning (RL) has fueled multiple high-profile successes in machine learning, it is held back from more widespread adoption by its often poor data efficiency and the limited generality of the policies it produces. A promising approach for... | [
29221,
12808,
8495,
6607,
17105,
8019,
25142,
23223,
40377,
13082
] | Train |
22,153 | 24 | Title: Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
Abstract: Fair machine learning methods seek to train models that balance model performance across demographic subgroups defined over sensitive attributes like race and gender. Although sensitive attributes are typically assumed to... | [] | Validation |
22,154 | 24 | Title: Align, Distill, and Augment Everything All at Once for Imbalanced Semi-Supervised Learning
Abstract: Addressing the class imbalance in long-tailed semi-supervised learning (SSL) poses a few significant challenges stemming from differences between the marginal distributions of unlabeled data and the labeled data,... | [] | Train |
22,155 | 3 | Title: Onboarding Citizens to Digital Identity Systems
Abstract: Digital Identity (DI) technologies have the potential to enhance the quality of life of citizens through the provision of seamless services, improve the effectiveness of public services, and increase overall economic competitiveness. However, lack of acce... | [] | Validation |
22,156 | 27 | Title: Semantics-aware Exploration and Inspection Path Planning
Abstract: This paper contributes a novel strategy for semantics-aware autonomous exploration and inspection path planning. Attuned to the fact that environments that need to be explored often involve a sparse set of semantic entities of particular interest... | [] | Validation |
22,157 | 4 | Title: SoK: Hardware Defenses Against Speculative Execution Attacks
Abstract: Speculative execution attacks leverage the speculative and out-of-order execution features in modern computer processors to access secret data or execute code that should not be executed. Secret information can then be leaked through a covert... | [
31512,
27865
] | Train |
22,158 | 23 | Title: Towards green AI-based software systems: an architecture-centric approach (GAISSA)
Abstract: Nowadays, AI-based systems have achieved outstanding results and have outperformed humans in different domains. However, the processes of training AI models and inferring from them require high computational resources, w... | [
14488,
34473,
15731
] | Train |
22,159 | 24 | Title: Automated Federated Learning in Mobile-Edge Networks—Fast Adaptation and Convergence
Abstract: Federated learning (FL) can be used in mobile-edge networks to train machine learning models in a distributed manner. Recently, FL has been interpreted within a model-agnostic meta-learning (MAML) framework, which brin... | [] | Train |
22,160 | 28 | Title: STAR-RIS Enhanced Joint Physical Layer Security and Covert Communications for Multi-antenna mmWave Systems
Abstract: This paper investigates the utilization of simultaneously transmitting and reflecting RIS (STAR-RIS) in supporting joint physical layer security (PLS) and covert communications (CCs) in a multi-an... | [
30710,
45654
] | Train |
22,161 | 27 | Title: Difference-based Deep Convolutional Neural Network for Simulation-to-reality UAV Fault Diagnosis
Abstract: Identifying the fault in propellers is important to keep quadrotors operating safely and efficiently. The simulation-to-reality (sim-to-real) UAV fault diagnosis methods provide a cost-effective and safe ap... | [
15958
] | Train |
22,162 | 24 | Title: Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
Abstract: Patient-specific hemodynamics assessment could support diagnosis and treatment of neurovascular diseases. Currently, conventional medical imaging modalities are not able to accurately acquire high-resolution hemodynam... | [] | Train |
22,163 | 16 | Title: PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
Abstract: Reconstructing the 3D shape of an object from a single RGB image is a long-standing problem in computer vision. In this paper, we propose a novel method for single-image 3D reconstruction which generates a sparse point... | [
29506,
42885,
39340,
21324,
19893,
22006,
33845
] | Validation |
22,164 | 24 | Title: Local-to-global Perspectives on Graph Neural Networks
Abstract: This thesis presents a local-to-global perspective on graph neural networks (GNN), the leading architecture to process graph-structured data. After categorizing GNN into local Message Passing Neural Networks (MPNN) and global Graph transformers, we ... | [] | Test |
22,165 | 16 | Title: ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
Abstract: Recently, a growing number of work design unsupervised paradigms for point cloud processing to alleviate the limitation of expensive manual annotation and poor transferability of supervised methods. Among t... | [
20660
] | Test |
22,166 | 25 | Title: The Singing Voice Conversion Challenge 2023
Abstract: We present the latest iteration of the voice conversion challenge (VCC) series, a bi-annual scientific event aiming to compare and understand different voice conversion (VC) systems based on a common dataset. This year we shifted our focus to singing voice co... | [] | Train |
22,167 | 11 | Title: Set-Membership Filtering-Based Cooperative State Estimation for Multi-Agent Systems
Abstract: In this article, we focus on the cooperative state estimation problem of a multi-agent system. Each agent is equipped with absolute and relative measurements. The purpose of this research is to make each agent generate ... | [
19016,
42138
] | Train |
22,168 | 4 | Title: Generative Model Watermarking Suppressing High-Frequency Artifacts
Abstract: Protecting deep neural networks (DNNs) against intellectual property (IP) infringement has attracted an increasing attention in recent years. Recent advances focus on IP protection of generative models, which embed the watermark informa... | [] | Train |
22,169 | 4 | Title: Composable Ledgers for Distributed Synchronic Web Archiving
Abstract: The Synchronic Web is a highly scalable notary infrastructure that provides tamper-evident data provenance for historical web data. In this document, we describe the applicability of this infrastructure for web archiving across three envisione... | [] | Train |
22,170 | 24 | Title: Streaming Active Learning for Regression Problems Using Regression via Classification
Abstract: One of the challenges in deploying a machine learning model is that the model's performance degrades as the operating environment changes. To maintain the performance, streaming active learning is used, in which the m... | [] | Train |
22,171 | 16 | Title: Remote Sensing Image Change Detection with Graph Interaction
Abstract: Modern remote sensing image change detection has witnessed substantial advancements by harnessing the potent feature extraction capabilities of CNNs and Transforms.Yet,prevailing change detection techniques consistently prioritize extracting ... | [] | Test |
22,172 | 27 | Title: Path Planning for Multiple Tethered Robots Using Topological Braids
Abstract: Path planning for multiple tethered robots is a challenging problem due to the complex interactions among the cables and the possibility of severe entanglements. Previous works on this problem either consider idealistic cable models or... | [] | Validation |
22,173 | 30 | Title: Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis
Abstract: Sentiment analysis (SA) systems are widely deployed in many of the world's languages, and there is well-documented evidence of demographic bias in these systems. In languages beyond English, scarcer training data is often supplemented with tr... | [
5137
] | Train |
22,174 | 24 | Title: Operating critical machine learning models in resource constrained regimes
Abstract: The accelerated development of machine learning methods, primarily deep learning, are causal to the recent breakthroughs in medical image analysis and computer aided intervention. The resource consumption of deep learning models... | [] | Validation |
22,175 | 3 | Title: An Audit Framework for Adopting AI-Nudging on Children
Abstract: This is an audit framework for AI-nudging. Unlike the static form of nudging usually discussed in the literature, we focus here on a type of nudging that uses large amounts of data to provide personalized, dynamic feedback and interfaces. We call t... | [] | Train |
22,176 | 28 | Title: To Re-transmit or Not to Re-transmit for Freshness
Abstract: We consider a time slotted communication network with a base station (BS) and a user. At each time slot a fresh update packet arrives at the BS with probability $p>0$. When the BS transmits an update packet for the first time, it goes through with a su... | [
38631
] | Train |
22,177 | 4 | Title: Automated Verification of Correctness for Masked Arithmetic Programs
Abstract: Masking is a widely-used effective countermeasure against power side-channel attacks for implementing cryptographic algorithms. Surprisingly, few formal verification techniques have addressed a fundamental question, i.e., whether the ... | [] | Validation |
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