node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
26,378 | 16 | Title: TMHOI: Translational Model for Human-Object Interaction Detection
Abstract: Detecting human-object interactions (HOIs) is an intricate challenge in the field of computer vision. Existing methods for HOI detection heavily rely on appearance-based features, but these may not fully capture all the essential charact... | [
14208,
16778
] | Test |
26,379 | 16 | Title: Transformer Utilization in Medical Image Segmentation Networks
Abstract: Owing to success in the data-rich domain of natural images, Transformers have recently become popular in medical image segmentation. However, the pairing of Transformers with convolutional blocks in varying architectural permutations leaves... | [] | Test |
26,380 | 16 | Title: LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
Abstract: Large language models have become a potential pathway toward achieving artificial general intelligence. Recent works on multi-modal large language models have demonstrated their effectiveness in handling visual mod... | [
10624,
13700,
41104,
42128,
8210,
27282,
3609,
4251,
30243,
29999,
15413,
33853,
1854,
33981,
30019,
33220,
25556,
29527,
13408,
37987,
35556,
36966,
42983,
11628,
16878,
6770,
1530,
13564
] | Test |
26,381 | 6 | Title: A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference
Abstract: Whilst a majority of affective computing research focuses on inferring emotions, examining mood or understanding the \textit{mood-emotion interplay} has received significantly less attention. Building on prior work, w... | [
1457
] | Train |
26,382 | 30 | Title: Tutorials on Stance Detection using Pre-trained Language Models: Fine-tuning BERT and Prompting Large Language Models
Abstract: This paper presents two self-contained tutorials on stance detection in Twitter data using BERT fine-tuning and prompting large language models (LLMs). The first tutorial explains BERT ... | [] | Train |
26,383 | 24 | Title: Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers
Abstract: Enabling On-Device Learning (ODL) for Ultra-Low-Power Micro-Controller Units (MCUs) is a key step for post-deployment adaptation and fine-tuning of Deep Neural Network (DNN) models in future Tin... | [] | Train |
26,384 | 4 | Title: PiXi: Password Inspiration by Exploring Information
Abstract: Passwords, a first line of defense against unauthorized access, must be secure and memorable. However, people often struggle to create secure passwords they can recall. To address this problem, we design Password inspiration by eXploring information (... | [] | Test |
26,385 | 27 | Title: A Supervised Machine Learning Approach to Operator Intent Recognition for Teleoperated Mobile Robot Navigation
Abstract: In applications that involve human-robot interaction (HRI), human-robot teaming (HRT), and cooperative human-machine systems, the inference of the human partner's intent is of critical importa... | [] | Train |
26,386 | 24 | Title: Federated Semi-Supervised Learning with Annotation Heterogeneity
Abstract: Federated Semi-Supervised Learning (FSSL) aims to learn a global model from different clients in an environment with both labeled and unlabeled data. Most of the existing FSSL work generally assumes that both types of data are available o... | [] | Validation |
26,387 | 30 | Title: Evaluation of really good grammatical error correction
Abstract: Although rarely stated, in practice, Grammatical Error Correction (GEC) encompasses various models with distinct objectives, ranging from grammatical error detection to improving fluency. Traditional evaluation methods fail to fully capture the ful... | [] | Validation |
26,388 | 27 | Title: Probabilistic Qualitative Localization and Mapping
Abstract: Simultaneous localization and mapping (SLAM) is essential in numerous robotics applications such as autonomous navigation. Traditional SLAM approaches infer the metric state of the robot along with a metric map of the environment. While existing algori... | [] | Train |
26,389 | 24 | Title: Transformed Distribution Matching for Missing Value Imputation
Abstract: We study the problem of imputing missing values in a dataset, which has important applications in many domains. The key to missing value imputation is to capture the data distribution with incomplete samples and impute the missing values ac... | [
12931,
20439
] | Train |
26,390 | 30 | Title: Data Augmentation for Robust Character Detection in Fantasy Novels
Abstract: Named Entity Recognition (NER) is a low-level task often used as a foundation for solving higher level NLP problems. In the context of character detection in novels, NER false negatives can be an issue as they possibly imply missing cer... | [
14620
] | Test |
26,391 | 30 | Title: Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search
Abstract: Frequently Asked Question (FAQ) retrieval aims at retrieving question-answer pairs for a given a user query. Integrating FAQ retrieval with product search can not only empower users to make more informed purchase decisions, but also e... | [] | Train |
26,392 | 31 | Title: Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems
Abstract: Recommendation systems increasingly depend on massive human-labeled datasets; however, the human annotators hired to generate these labels increasingly come from homogeneous backgrounds. This poses an issue when do... | [
36904
] | Validation |
26,393 | 37 | Title: Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Abstract: Large language models (LLMs) have emerged as a new paradigm for Text-to-SQL task. However, the absence of a systematical benchmark inhibits the development of designing effective, efficient and economic LLM-based Text-to-SQL solutio... | [
40192,
13700,
24901,
37957,
1326,
36494,
19250,
9143,
43641,
9403,
28221
] | Validation |
26,394 | 16 | Title: Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Abstract: Current methods for few-shot segmentation (FSSeg) have mainly focused on improving the performance of novel classes while neglecting the performance of base classes. To overcome this limitation, the t... | [
7972,
38974
] | Train |
26,395 | 16 | Title: Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion
Abstract: Self-supervised monocular depth estimation approaches suffer not only from scale ambiguity but also infer temporally inconsistent depth maps w.r.t. scale. While disambiguating scale during training is not possible without so... | [] | Train |
26,396 | 16 | Title: Fine-Tuned but Zero-Shot 3D Shape Sketch View Similarity and Retrieval
Abstract: Recently, encoders like ViT (vision transformer) and ResNet have been trained on vast datasets and utilized as perceptual metrics for comparing sketches and images, as well as multi-domain encoders in a zero-shot setting. However, t... | [
39106,
43526,
11686,
26698,
15823,
34167
] | Train |
26,397 | 28 | Title: Robust Power Allocation for Integrated Visible Light Positioning and Communication Networks
Abstract: Integrated visible light positioning and communication (VLPC), capable of combining advantages of visible light communications (VLC) and visible light positioning (VLP), is a promising key technology for the fut... | [] | Test |
26,398 | 16 | Title: CNN Injected Transformer for Image Exposure Correction
Abstract: Capturing images with incorrect exposure settings fails to deliver a satisfactory visual experience. Only when the exposure is properly set, can the color and details of the images be appropriately preserved. Previous exposure correction methods ba... | [] | Test |
26,399 | 30 | Title: Exploring Large Language Models for Classical Philology
Abstract: Recent advances in NLP have led to the creation of powerful language models for many languages including Ancient Greek and Latin. While prior work on Classical languages unanimously uses BERT, in this work we create four language models for Ancien... | [
35803,
3206
] | Train |
26,400 | 24 | Title: The curse of dimensionality in operator learning
Abstract: Neural operator architectures employ neural networks to approximate operators mapping between Banach spaces of functions; they may be used to accelerate model evaluations via emulation, or to discover models from data. Consequently, the methodology has r... | [] | Train |
26,401 | 20 | Title: Constant-Hop Spanners for More Geometric Intersection Graphs, with Even Smaller Size
Abstract: In SoCG 2022, Conroy and T\'oth presented several constructions of sparse, low-hop spanners in geometric intersection graphs, including an $O(n\log n)$-size 3-hop spanner for $n$ disks (or fat convex objects) in the pl... | [] | Test |
26,402 | 16 | Title: Visual-Saliency-Guided Channel Pruning for Deep Visual Detectors in Autonomous Driving
Abstract: Neural network pruning has become a de facto component for deploying deep networks on resource-constrained devices, which can reduce memory requirements and computation costs. In particular, channel pruning gained mo... | [] | Train |
26,403 | 16 | Title: Ranking-aware Uncertainty for Text-guided Image Retrieval
Abstract: Text-guided image retrieval is to incorporate conditional text to better capture users' intent. Traditionally, the existing methods focus on minimizing the embedding distances between the source inputs and the targeted image, using the provided ... | [] | Validation |
26,404 | 31 | Title: ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop
Abstract: Industrial recommender systems face the challenge of operating in non-stationary environments, where data distribution shifts arise from evolving user behaviors over time. To tackle this challenge, a common app... | [
43608,
2036,
7134,
10783
] | Validation |
26,405 | 16 | Title: BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring
Abstract: This paper discusses the challenges of evaluating deblurring-methods quality and proposes a reduced-reference metric based on machine learning. Traditional quality-assessment metrics such as PSNR and SSIM are common for this task, b... | [] | Train |
26,406 | 4 | Title: Blockchain Model for Environment/Infrastructure Monitoring in Cloud-Enabled High-Altitude Platform Systems
Abstract: nan | [] | Train |
26,407 | 24 | Title: Learning in POMDPs is Sample-Efficient with Hindsight Observability
Abstract: POMDPs capture a broad class of decision making problems, but hardness results suggest that learning is intractable even in simple settings due to the inherent partial observability. However, in many realistic problems, more informatio... | [
24441,
20579,
26789,
31086
] | Test |
26,408 | 27 | Title: A Control Approach for Human-Robot Ergonomic Payload Lifting
Abstract: Collaborative robots can relief human operators from excessive efforts during payload lifting activities. Modelling the human partner allows the design of safe and efficient collaborative strategies. In this paper, we present a control approa... | [
10525
] | Train |
26,409 | 30 | Title: From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
Abstract: Current state-of-the-art models for natural language understanding require a preprocessing step to convert raw text into discrete tokens. This process known as tokenization relies on a pre-built... | [] | Train |
26,410 | 16 | Title: Controllable Image Generation via Collage Representations
Abstract: Recent advances in conditional generative image models have enabled impressive results. On the one hand, text-based conditional models have achieved remarkable generation quality, by leveraging large-scale datasets of image-text pairs. To enable... | [
34141,
24550
] | Test |
26,411 | 4 | Title: Generative AI for Cyber Threat-Hunting in 6G-enabled IoT Networks
Abstract: The next generation of cellular technology, 6G, is being developed to enable a wide range of new applications and services for the Internet of Things (IoT). One of 6G’s main advantages for IoT applications is its ability to support much ... | [
1981
] | Validation |
26,412 | 24 | Title: On Regularization and Inference with Label Constraints
Abstract: Prior knowledge and symbolic rules in machine learning are often expressed in the form of label constraints, especially in structured prediction problems. In this work, we compare two common strategies for encoding label constraints in a machine le... | [] | Test |
26,413 | 23 | Title: MaintainoMATE: A GitHub App for Intelligent Automation of Maintenance Activities
Abstract: Software development projects rely on issue tracking systems at the core of tracking maintenance tasks such as bug reports, and enhancement requests. Incoming issue-reports on these issue tracking systems must be managed i... | [] | Validation |
26,414 | 16 | Title: A General Implicit Framework for Fast NeRF Composition and Rendering
Abstract: A variety of Neural Radiance Fields (NeRF) methods have recently achieved remarkable success in high render speed. However, current accelerating methods are specialized and incompatible with various implicit methods, preventing real-t... | [
21414,
9599
] | Train |
26,415 | 16 | Title: Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
Abstract: Black-box unsupervised domain adaptation (UDA) learns with source predictions of target data without accessing either source data or source models during training, and it has clear superiority in data privacy and flex... | [
7175
] | Validation |
26,416 | 30 | Title: AKEM: Aligning Knowledge Base to Queries with Ensemble Model for Entity Recognition and Linking
Abstract: This paper presents a novel approach to address the Entity Recognition and Linking Challenge at NLPCC 2015. The task involves extracting named entity mentions from short search queries and linking them to en... | [] | Train |
26,417 | 16 | Title: Identity-Consistent Aggregation for Video Object Detection
Abstract: In Video Object Detection (VID), a common practice is to leverage the rich temporal contexts from the video to enhance the object representations in each frame. Existing methods treat the temporal contexts obtained from different objects indisc... | [] | Train |
26,418 | 27 | Title: Learning to Navigate in Turbulent Flows With Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
Abstract: Aerial operation in turbulent environments is a challenging problem due to the chaotic behavior of the flow. This problem is made even more complex when a team of aerial robots is trying... | [] | Test |
26,419 | 24 | Title: Edge Devices Inference Performance Comparison
Abstract: In this work, we investigate the inference time of the MobileNet family, EfficientNet V1 and V2 family, VGG models, Resnet family, and InceptionV3 on four edge platforms. Specifically NVIDIA Jetson Nano, Intel Neural Stick, Google Coral USB Dongle, and Goog... | [] | Test |
26,420 | 24 | Title: Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning
Abstract: In the scenario of class-incremental learning (CIL), deep neural networks have to adapt their model parameters to non-stationary data distributions, e.g., the emergence of new classes over time. However, CIL models ar... | [
45354,
24446,
34303
] | Test |
26,421 | 16 | Title: HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image
Abstract: This paper presents a method to learn hand-object interaction prior for reconstructing a 3D hand-object scene from a single RGB image. The inference as well as training-data generation for 3D hand-object scene recon... | [] | Train |
26,422 | 16 | Title: Ponder: Point Cloud Pre-training via Neural Rendering
Abstract: We propose a novel approach to self-supervised learning of point cloud representations by differentiable neural rendering. Motivated by the fact that informative point cloud features should be able to encode rich geometry and appearance cues and ren... | [
7776,
7569,
27763,
10651,
9565
] | Train |
26,423 | 30 | Title: Stay on topic with Classifier-Free Guidance
Abstract: Classifier-Free Guidance (CFG) has recently emerged in text-to-image generation as a lightweight technique to encourage prompt-adherence in generations. In this work, we demonstrate that CFG can be used broadly as an inference-time technique in pure language ... | [
14592,
13345,
33175,
13700,
27039,
6058,
33610,
37360,
29375,
36179,
5815,
18363,
33439
] | Validation |
26,424 | 4 | Title: Towards Invisible Backdoor Attacks in the Frequency Domain against Deep Neural Networks
Abstract: Deep neural networks (DNNs) have made tremendous progress in the past ten years and have been applied in various critical applications. However, recent studies have shown that deep neural networks are vulnerable to ... | [] | Test |
26,425 | 30 | Title: Better Sampling of Negatives for Distantly Supervised Named Entity Recognition
Abstract: Distantly supervised named entity recognition (DS-NER) has been proposed to exploit the automatically labeled training data instead of human annotations. The distantly annotated datasets are often noisy and contain a conside... | [
18902
] | Train |
26,426 | 17 | Title: Computational design of passive grippers
Abstract: This work proposes a novel generative design tool for passive grippers---robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom in a robotic arm to perform grasping tasks. Passive grippers are used because they... | [
44747
] | Train |
26,427 | 30 | Title: J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
Abstract: The rapid proliferation of AI-generated text online is profoundly reshaping the information landscape. Among various types of AI-generated text, AI-generated news presents a significant threat as it can be a prominent source... | [
3050,
22476,
30574,
497,
25367,
38235,
28924,
1917
] | Train |
26,428 | 30 | Title: NLPositionality: Characterizing Design Biases of Datasets and Models
Abstract: Design biases in NLP systems, such as performance differences for different populations, often stem from their creator’s positionality, i.e., views and lived experiences shaped by identity and background. Despite the prevalence and ri... | [
12424,
24841,
33220,
25470
] | Train |
26,429 | 16 | Title: ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing
Abstract: In this paper, we present ControlVideo, a novel method for text-driven video editing. Leveraging the capabilities of text-to-image diffusion models and ControlNet, ControlVideo aims to enhance the fidelity and temporal consiste... | [
18048,
11841,
20960,
42272,
11655,
10216,
12841,
16103,
39759,
34074,
4765
] | Test |
26,430 | 30 | Title: Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases
Abstract: We report on an experiment in case outcome classification on European Court of Human Rights cases where our model first learns to identify the convention articles allegedly violat... | [
36049
] | Validation |
26,431 | 2 | Title: On the Metric Temporal Logic for Continuous Stochastic Processes
Abstract: In this paper, we prove measurability of event for which a general continuous-time stochastic process satisfies continuous-time Metric Temporal Logic (MTL) formula. Continuous-time MTL can define temporal constrains for physical system in... | [] | Train |
26,432 | 24 | Title: Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment
Abstract: This study investigated the potential of end-to-end deep learning tools as a more effective substitute for FEM in predicting stress-strain fields within 2D cross sections of arterial w... | [] | Train |
26,433 | 28 | Title: Fuzzy linear codes based on nested linear codes
Abstract: nan | [] | Test |
26,434 | 24 | Title: Quantitative CLTs in Deep Neural Networks
Abstract: We study the distribution of a fully connected neural network with random Gaussian weights and biases in which the hidden layer widths are proportional to a large constant $n$. Under mild assumptions on the non-linearity, we obtain quantitative bounds on normal... | [] | Train |
26,435 | 2 | Title: An Acceptance Semantics for Stable Modal Knowledge
Abstract: We observe some puzzling linguistic data concerning ordinary knowledge ascriptions that embed an epistemic (im)possibility claim. We conclude that it is untenable to jointly endorse both classical logic and a pair of intuitively attractive theses: the ... | [] | Train |
26,436 | 30 | Title: Towards End-to-end Speech-to-text Summarization
Abstract: Speech-to-text (S2T) summarization is a time-saving technique for filtering and keeping up with the broadcast news uploaded online on a daily basis. The rise of large language models from deep learning with impressive text generation capabilities has plac... | [
2111
] | Train |
26,437 | 10 | Title: Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition
Abstract: An important feature of pervasive, intelligent assistance systems is the ability to dynamically adapt to the current needs of their users. Hence, it is critical for such systems to be able to recognize those go... | [] | Train |
26,438 | 16 | Title: Handwritten Stenography Recognition and the LION Dataset
Abstract: Purpose: In this paper, we establish a baseline for handwritten stenography recognition, using the novel LION dataset, and investigate the impact of including selected aspects of stenographic theory into the recognition process. We make the LION ... | [
5169
] | Train |
26,439 | 24 | Title: A hybrid Decoder-DeepONet operator regression framework for unaligned observation data
Abstract: Deep neural operators (DNOs) have been utilized to approximate nonlinear mappings between function spaces. However, DNOs face the challenge of increased dimensionality and computational cost associated with unaligned... | [] | Train |
26,440 | 8 | Title: Adaptive Multi-Armed Bandit Learning for Task Offloading in Edge Computing
Abstract: The widespread adoption of edge computing has emerged as a prominent trend for alleviating task processing delays and reducing energy consumption. However, the dynamic nature of network conditions and the varying computation cap... | [] | Validation |
26,441 | 24 | Title: Adversarial robustness of amortized Bayesian inference
Abstract: Bayesian inference usually requires running potentially costly inference procedures separately for every new observation. In contrast, the idea of amortized Bayesian inference is to initially invest computational cost in training an inference netwo... | [
17771,
42014
] | Test |
26,442 | 16 | Title: SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation
Abstract: Instance-level segmentation of documents consists in assigning a class-aware and instance-aware label to each pixel of the image. It is a key step in document parsing for their understanding. In this ... | [
29776
] | Test |
26,443 | 24 | Title: Clustered Linear Contextual Bandits with Knapsacks
Abstract: In this work, we study clustered contextual bandits where rewards and resource consumption are the outcomes of cluster-specific linear models. The arms are divided in clusters, with the cluster memberships being unknown to an algorithm. Pulling an arm ... | [] | Validation |
26,444 | 16 | Title: Deep Residual Axial Networks
Abstract: While convolutional neural networks (CNNs) demonstrate outstanding performance on computer vision tasks, their computational costs remain high. Several techniques are used to reduce these costs, like reducing channel count, and using separable and depthwise separable convol... | [
27834,
43634
] | Test |
26,445 | 27 | Title: A Versatile Door Opening System with Mobile Manipulator through Adaptive Position-Force Control and Reinforcement Learning
Abstract: The ability of robots to navigate through doors is crucial for their effective operation in indoor environments. Consequently, extensive research has been conducted to develop robo... | [] | Train |
26,446 | 10 | Title: Artificial Intelligence for Smart Transportation
Abstract: There are more than 7,000 public transit agencies in the U.S. (and many more private agencies), and together, they are responsible for serving 60 billion passenger miles each year. A well-functioning transit system fosters the growth and expansion of bus... | [] | Train |
26,447 | 31 | Title: UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Abstract: Recommending items to potentially interested users has been an important commercial task that faces two main challenges: accuracy and explainability. While most collaborative filtering models rely on st... | [] | Train |
26,448 | 16 | Title: LF-PGVIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras using Points and Geodesic Segments
Abstract: In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO) framework for large Field-of-View (FoV) cameras with a negative plane using points and geodesic segments. Notoriously, w... | [] | Train |
26,449 | 16 | Title: Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval
Abstract: Text-Pedestrian Image Retrieval aims to use the text describing pedestrian appearance to retrieve the corresponding pedestrian image. This task involves not only modality discrepancy, but also the challenge of th... | [
557,
42678,
45703
] | Test |
26,450 | 24 | Title: PAC-Bayesian Soft Actor-Critic Learning
Abstract: Actor-critic algorithms address the dual goals of reinforcement learning (RL), policy evaluation and improvement, via two separate function approximators. The practicality of this approach comes at the expense of training instability, caused mainly by the destruc... | [
8723
] | Test |
26,451 | 28 | Title: A Diagonal Splitting Algorithm for Adaptive Group Testing
Abstract: Group testing enables to identify infected individuals in a population using a smaller number of tests than individual testing. To achieve this, group testing algorithms commonly assume knowledge of the number of infected individuals; nonadaptiv... | [] | Train |
26,452 | 24 | Title: Fixing Overconfidence in Dynamic Neural Networks
Abstract: Dynamic neural networks are a recent technique that promises a remedy for the increasing size of modern deep learning models by dynamically adapting their computational cost to the difficulty of the inputs. In this way, the model can adjust to a limited ... | [
15712,
39628
] | Test |
26,453 | 4 | Title: White-Box Adversarial Attacks on Deep Learning-Based Radio Frequency Fingerprint Identification
Abstract: Radio frequency fingerprint identification (RFFI) is an emerging technique for the lightweight authentication of wireless Internet of things (IoT) devices. RFFI exploits unique hardware impairments as device... | [] | Validation |
26,454 | 16 | Title: Chain of Thought Prompt Tuning in Vision Language Models
Abstract: Language-Image Pre-training has demonstrated promising results on zero-shot and few-shot downstream tasks by prompting visual models with natural language prompts. However, most recent studies only use a single prompt for tuning, neglecting the i... | [
25097,
10163,
41686,
42983
] | Train |
26,455 | 24 | Title: A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising
Abstract: Hypergraph Neural networks (HyperGNNs) and hypergraph signal denoising (HyperGSD) are two fundamental topics in higher-order network modeling. Understanding the connection between these two domains is particularly useful for ... | [] | Validation |
26,456 | 27 | Title: Wobble control of a pendulum actuated spherical robot
Abstract: Spherical robots can conduct surveillance in hostile, cluttered environments without being damaged, as their protective shell can safely house sensors such as cameras. However, lateral oscillations, also known as wobble, occur when these sphere-shap... | [
16258
] | Validation |
26,457 | 16 | Title: Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?
Abstract: Face recognition algorithms perform more accurately than humans in some cases, though humans and machines both show race-based accuracy differences. As algorithms continue to improve, it is importan... | [] | Validation |
26,458 | 24 | Title: Robust Adversarial Defense by Tensor Factorization
Abstract: As machine learning techniques become increasingly prevalent in data analysis, the threat of adversarial attacks has surged, necessitating robust defense mechanisms. Among these defenses, methods exploiting low-rank approximations for input data prepro... | [
33414
] | Train |
26,459 | 16 | Title: Fashion Object Detection for Tops & Bottoms
Abstract: Fashion is one of the largest world's industries and computer vision techniques have been becoming more popular in recent years, in particular, for tasks such as object detection and apparel segmentation. Even with the rapid growth in computer vision solution... | [] | Train |
26,460 | 24 | Title: Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions
Abstract: In many learning applications, the parameters in a model are structurally constrained in a way that can be modeled as them lying on a Riemannian manifold. Riemannian optimization, wherein procedures to enforce an iter... | [] | Test |
26,461 | 16 | Title: Feature-Balanced Loss for Long-Tailed Visual Recognition
Abstract: Deep neural networks frequently suffer from performance degradation when the training data is long-tailed because several majority classes dominate the training, resulting in a biased model. Recent studies have made a great effort in solving this... | [
36810
] | Test |
26,462 | 30 | Title: Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English
Abstract: This study focuses on the generation of Persian named entity datasets through the application of machine translation on English datasets. The generated datasets were evaluated b... | [
44581,
36903
] | Validation |
26,463 | 16 | Title: Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
Abstract: Underwater imagery often exhibits distorted coloration as a result of light-water interactions, which complicates the study of benthic environments in marine biology and geography. In this research, w... | [] | Train |
26,464 | 24 | Title: Domain Adaptation for Time Series Under Feature and Label Shifts
Abstract: Unsupervised domain adaptation (UDA) enables the transfer of models trained on source domains to unlabeled target domains. However, transferring complex time series models presents challenges due to the dynamic temporal structure variatio... | [
8717,
42726
] | Train |
26,465 | 28 | Title: Joint Communications and Sensing Design for Multi-Carrier MIMO Systems
Abstract: In conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in limited co... | [] | Train |
26,466 | 10 | Title: Targeted Search Control in AlphaZero for Effective Policy Improvement
Abstract: AlphaZero is a self-play reinforcement learning algorithm that achieves superhuman play in chess, shogi, and Go via policy iteration. To be an effective policy improvement operator, AlphaZero's search requires accurate value estimate... | [
14982
] | Train |
26,467 | 27 | Title: Robotic surface exploration with vision and tactile sensing for cracks detection and characterisation
Abstract: This paper presents a novel algorithm for crack localisation and detection based on visual and tactile analysis via fibre-optics. A finger-shaped sensor based on fibre-optics is employed for the data a... | [] | Test |
26,468 | 16 | Title: Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Abstract: Generating learning-friendly representations for points in space is a fundamental and long-standing problem in ML. Recently, multi-scale encoding schemes (such as Space2Vec and... | [
35041,
6124,
32028
] | Train |
26,469 | 34 | Title: Computing SEQ-IC-LCS of Labeled Graphs
Abstract: We consider labeled directed graphs where each vertex is labeled with a non-empty string. Such labeled graphs are also known as non-linear texts in the literature. In this paper, we introduce a new problem of comparing two given labeled graphs, called the SEQ-IC-L... | [] | Train |
26,470 | 24 | Title: A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems
Abstract: Transformer-based models show state-of-the-art performance even for large-scale Traveling Salesman Problems (TSPs). However, they are based on fully-connected attention models and suffer from large computational complexity and... | [] | Train |
26,471 | 24 | Title: TART: A plug-and-play Transformer module for task-agnostic reasoning
Abstract: Large language models (LLMs) exhibit in-context learning abilities which enable the same model to perform several tasks without any task-specific training. In contrast, traditional adaptation approaches, such as fine-tuning, modify th... | [
26208,
20228,
31431,
27282,
3795,
29375
] | Train |
26,472 | 5 | Title: General Tasks and Extension-Based Proofs
Abstract: The concept of extension-based proofs models the idea of a valency argument which is widely used in distributed computing. Extension-based proofs are limited in power: it has been shown that there is no extension-based proof of the impossibility of a wait-free p... | [] | Train |
26,473 | 16 | Title: Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation
Abstract: Near-infrared (NIR) image spectrum translation is a challenging problem with many promising applications. Existing methods struggle with the mapping ambiguity between the NIR and the RGB domains, and gener... | [] | Validation |
26,474 | 24 | Title: Nested Elimination: A Simple Algorithm for Best-Item Identification from Choice-Based Feedback
Abstract: We study the problem of best-item identification from choice-based feedback. In this problem, a company sequentially and adaptively shows display sets to a population of customers and collects their choices. ... | [
29303
] | Validation |
26,475 | 16 | Title: Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
Abstract: The rendering scheme in neural radiance field (NeRF) is effective in rendering a pixel by casting a ray into the scene. However, NeRF yields blurred rendering results when the training images are captured at non-uniform scales, and ... | [
3672,
16697,
27795
] | Validation |
26,476 | 5 | Title: Energy-Efficient GPU Clusters Scheduling for Deep Learning
Abstract: Training deep neural networks (DNNs) is a major workload in datacenters today, resulting in a tremendously fast growth of energy consumption. It is important to reduce the energy consumption while completing the DL training jobs early in data c... | [] | Train |
26,477 | 16 | Title: Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
Abstract: We propose an efficient abnormal event detection model based on a lightweight masked auto-encoder (AE) applied at the video frame level. The novelty of the proposed model is threefold. First, we introduce an approach to weight to... | [] | Validation |
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