node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
30,178 | 24 | Title: Dynamic User Segmentation and Usage Profiling
Abstract: Usage data of a group of users distributed across a number of categories, such as songs, movies, webpages, links, regular household products, mobile apps, games, etc. can be ultra-high dimensional and massive in size. More often this kind of data is categor... | [
5746
] | Train |
30,179 | 34 | Title: Temporal Betweenness Centrality on Shortest Paths
Abstract: Betweenness centrality measure assesses the importance of nodes in a graph and has been used in a variety of contexts. Betweenness centrality has also been extended to temporal graphs. Temporal graphs have edges that bear labels according to the time of... | [] | Train |
30,180 | 4 | Title: Towards a better labeling process for network security datasets
Abstract: Most network security datasets do not have comprehensive label assignment criteria, hindering the evaluation of the datasets, the training of models, the results obtained, the comparison with other methods, and the evaluation in real-life ... | [] | Validation |
30,181 | 5 | Title: Analyzing Geospatial Distribution in Blockchains
Abstract: Blockchains are decentralized; are they genuinely? We analyze blockchain decentralization's often-overlooked but quantifiable dimension: geospatial distribution of transaction processing. Blockchains bring with them the potential for geospatially distrib... | [] | Train |
30,182 | 16 | Title: Contextualising Implicit Representations for Semantic Tasks
Abstract: Prior works have demonstrated that implicit representations trained only for reconstruction tasks typically generate encodings that are not useful for semantic tasks. In this work, we propose a method that contextualises the encodings of impli... | [
1690,
37135
] | Train |
30,183 | 16 | Title: BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification
Abstract: Multiple Instance Learning (MIL) has become the predominant approach for classification tasks on gigapixel histopathology whole slide images (WSIs). Within the MIL framework, single WSIs (bags) are dec... | [] | Train |
30,184 | 16 | Title: Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map
Abstract: In most urban and suburban areas, pole-like structures such as tree trunks or utility poles are ubiquitous. These structural landmarks are very useful for the localization of autonomous vehicles... | [] | Validation |
30,185 | 28 | Title: UAV Trajectory and Multi-User Beamforming Optimization for Clustered Users Against Passive Eavesdropping Attacks With Unknown CSI
Abstract: This paper tackles the fundamental passive eavesdropping problem in modern wireless communications in which the location and the channel state information (CSI) of the attac... | [] | Train |
30,186 | 37 | Title: An Evaluation of Software Sketches
Abstract: This work presents a detailed evaluation of Rust (software) implementations of several popular sketching solutions, as well as recently proposed optimizations. We compare these solutions in terms of computational speed, memory consumption, and several approximation er... | [] | Test |
30,187 | 24 | Title: Discrete Denoising Diffusion Approach to Integer Factorization
Abstract: Integer factorization is a famous computational problem unknown whether being solvable in the polynomial time. With the rise of deep neural networks, it is interesting whether they can facilitate faster factorization. We present an approach... | [] | Validation |
30,188 | 10 | Title: Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings
Abstract: Knowledge graphs (KGs) are key tools in many AI-related tasks such as reasoning or question answering. This has, in turn, propelled research in link prediction in KGs, the task of predicting missing relationships from ... | [] | Train |
30,189 | 34 | Title: Sorting Signed Permutations by Reversals in Nearly-Linear Time
Abstract: Given a signed permutation on $n$ elements, we need to sort it with the fewest reversals. This is a fundamental algorithmic problem motivated by applications in comparative genomics, as it allows to accurately model rearrangements in small ... | [] | Train |
30,190 | 27 | Title: Dynamic models for Planar Peristaltic Locomotion of a Metameric Earthworm-like Robot
Abstract: The development of versatile robots capable of traversing challenging and irregular environments is of increasing interest in the field of robotics, and metameric robots have been identified as a promising solution due... | [] | Test |
30,191 | 16 | Title: Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion
Abstract: In this paper, we study the problem of jointly estimating the optical flow and scene flow from synchronized 2D and 3D data. Previous methods either employ a complex pipeline that splits the joint task into independent stages, o... | [
5338,
44965
] | Train |
30,192 | 5 | Title: AI-Driven Confidential Computing across Edge-to-Cloud Continuum
Abstract: With the meteoric growth of technology, individuals and organizations are widely adopting cloud services to mitigate the burdens of maintenance. Despite its scalability and ease of use, many users who own sensitive data refrain from fully ... | [
16488
] | Train |
30,193 | 24 | Title: Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
Abstract: Since acquiring perfect supervision is usually difficult, real-world machine learning tasks often confront inaccurate, incomplete, or inexact supervision, collectively referred to as weak supervision. In this work, we present WSAUC, a u... | [] | Train |
30,194 | 30 | Title: Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models
Abstract: With the widespread use of large language models (LLMs) in NLP tasks, researchers have discovered the potential of Chain-of-thought (CoT) to assist LLMs in accomplishing complex reasoning tasks by generating intermed... | [
4610,
5700,
33220,
6155,
5486,
39602,
6963,
6453,
38391,
45242,
23805
] | Train |
30,195 | 16 | Title: Feature Decoupling-Recycling Network for Fast Interactive Segmentation
Abstract: Recent interactive segmentation methods iteratively take source image, user guidance and previously predicted mask as the input without considering the invariant nature of the source image. As a result, extracting features from the ... | [] | Train |
30,196 | 16 | Title: SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification
Abstract: Few-shot learning is a challenging area of research that aims to learn new concepts with only a few labeled samples of data. Recent works based... | [] | Train |
30,197 | 24 | Title: Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Abstract: Deep generative models, such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Transformers, have shown great promise in a variety of applications, includin... | [
31939,
17988,
35534,
1555,
15668,
4309,
31992
] | Train |
30,198 | 8 | Title: DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics
Abstract: Deep learning video analytic systems process live video feeds from multiple cameras with computer vision models deployed on edge or cloud. To optimize utility for these systems, which usually corresponds to query a... | [] | Validation |
30,199 | 16 | Title: Strategy for Rapid Diabetic Retinopathy Exposure Based on Enhanced Feature Extraction Processing
Abstract: In the modern world, one of the most severe eye infections brought on by diabetes is known as diabetic retinopathy, which will result in retinal damage, and, thus, lead to blindness. Diabetic retinopathy ca... | [
5154,
25547,
28036,
10838
] | Train |
30,200 | 24 | Title: Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Abstract: Deep reinforcement learning algorithms that learn policies by trial-and-error must learn from limited amounts of data collected by actively interacting with the environment. While many prior works have shown that proper regularizatio... | [
37188,
21098,
19314,
44566,
635
] | Train |
30,201 | 24 | Title: Joint Probability Trees
Abstract: We introduce Joint Probability Trees (JPT), a novel approach that makes learning of and reasoning about joint probability distributions tractable for practical applications. JPTs support both symbolic and subsymbolic variables in a single hybrid model, and they do not rely on pr... | [] | Train |
30,202 | 27 | Title: Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube
Abstract: It is often necessary for drones to complete delivery, photography, and rescue in the shortest time to increase efficiency. Many autonomous drone races provide platforms to pursue algorithms to finish races a... | [] | Train |
30,203 | 25 | Title: Addressing Feature Imbalance in Sound Source Separation
Abstract: Neural networks often suffer from a feature preference problem, where they tend to overly rely on specific features to solve a task while disregarding other features, even if those neglected features are essential for the task. Feature preference ... | [] | Train |
30,204 | 6 | Title: Social Virtual Reality Avatar Biosignal Animations as Availability Status Indicators
Abstract: In this position paper, we outline our research challenges in Affective Interactive Systems, and present recent work on visualizing avatar biosignals for social VR entertainment. We highlight considerations for how bio... | [] | Test |
30,205 | 30 | Title: Improving Interpretability via Explicit Word Interaction Graph Layer
Abstract: Recent NLP literature has seen growing interest in improving model interpretability. Along this direction, we propose a trainable neural network layer that learns a global interaction graph between words and then selects more informat... | [] | Train |
30,206 | 11 | Title: Efficient Behavior-consistent Calibration for Multi-agent Market Simulation
Abstract: Order-driven market simulation mimics the trader behaviors to generate order streams to support interactive studies of financial strategies. In market simulator, the multi-agent approach is commonly adopted due to its explainab... | [] | Validation |
30,207 | 30 | Title: KitchenScale: Learning to predict ingredient quantities from recipe contexts
Abstract: nan | [] | Test |
30,208 | 24 | Title: Orders-of-coupling representation with a single neural network with optimal neuron activation functions and without nonlinear parameter optimization
Abstract: nan | [] | Test |
30,209 | 16 | Title: EFLNet: Enhancing Feature Learning for Infrared Small Target Detection
Abstract: Single-frame infrared small target detection is considered to be a challenging task, due to the extreme imbalance between target and background, bounding box regression is extremely sensitive to infrared small targets, and small tar... | [] | Train |
30,210 | 30 | Title: Regex-augmented Domain Transfer Topic Classification based on a Pre-trained Language Model: An application in Financial Domain
Abstract: A common way to use large pre-trained language models for downstream tasks is to fine tune them using additional layers. This may not work well if downstream domain is a specia... | [] | Validation |
30,211 | 34 | Title: An Improved Approximation for Maximum Weighted k-Set Packing
Abstract: We consider the weighted $k$-set packing problem, in which we are given a collection of weighted sets, each with at most $k$ elements and must return a collection of pairwise disjoint sets with maximum total weight. For $k = 3$, this problem ... | [
15273,
25634,
8694
] | Train |
30,212 | 27 | Title: Geometry of contact: contact planning for multi-legged robots via spin models duality
Abstract: Contact planning is crucial in locomoting systems.Specifically, appropriate contact planning can enable versatile behaviors (e.g., sidewinding in limbless locomotors) and facilitate speed-dependent gait transitions (e... | [] | Train |
30,213 | 31 | Title: Using Wikipedia Editor Information to Build High-performance Recommender Systems
Abstract: Wikipedia has high-quality articles on a variety of topics and has been used in diverse research areas. In this study, a method is presented for using Wikipedia's editor information to build recommender systems in various ... | [] | Train |
30,214 | 23 | Title: Challenges in Aligning Requirements Engineering and Verification in a Large-Scale Industrial Context
Abstract: nan | [
10714,
38475,
8604,
46127
] | Train |
30,215 | 16 | Title: Event-Guided Procedure Planning from Instructional Videos with Text Supervision
Abstract: In this work, we focus on the task of procedure planning from instructional videos with text supervision, where a model aims to predict an action sequence to transform the initial visual state into the goal visual state. A ... | [] | Test |
30,216 | 16 | Title: TRR360D: A dataset for 360 degree rotated rectangular box table detection
Abstract: To address the problem of scarcity and high annotation costs of rotated image table detection datasets, this paper proposes a method for building a rotated image table detection dataset. Based on the ICDAR2019MTD modern table det... | [] | Validation |
30,217 | 4 | Title: Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions
Abstract: With the ever-growing concern for internet security, the field of quantum cryptography emerges as a promising solution for enhancing the security of networking systems. In this pa... | [] | Test |
30,218 | 16 | Title: What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection?
Abstract: Data augmentation is a promising technique for unsupervised anomaly detection in industrial applications, where the availability of positive samples is often limited due to factors such as commercial competition and ... | [
25701
] | Test |
30,219 | 11 | Title: Some challenges of calibrating differentiable agent-based models
Abstract: Agent-based models (ABMs) are a promising approach to modelling and reasoning about complex systems, yet their application in practice is impeded by their complexity, discrete nature, and the difficulty of performing parameter inference a... | [
1584
] | Train |
30,220 | 10 | Title: Perimeter Control with Heterogeneous Cordon Signal Behaviors: A Semi-Model Dependent Reinforcement Learning Approach
Abstract: Perimeter Control (PC) strategies have been proposed to address urban road network control in oversaturated situations by monitoring transfer flows of the Protected Network (PN). The uni... | [] | Train |
30,221 | 30 | Title: InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Abstract: Large language models have unlocked strong multi-task capabilities from reading instructive prompts. However, recent studies have shown that existing large models still have difficulty with information extraction tasks. For e... | [
7585,
13185,
25892,
33220,
40901,
35556,
22670,
9775,
27537,
38897,
33779,
23252,
34423,
39159,
12445
] | Validation |
30,222 | 16 | Title: EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision
Abstract: Event camera shows great potential in 3D hand pose estimation, especially addressing the challenges of fast motion and high dynamic range in a low-power way. However, due to the asynchronous differential imaging mechanism, it is ch... | [] | Train |
30,223 | 31 | Title: Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study
Abstract: Recommender systems are widely used to provide personalized recommendations to users. Recent research has shown that recommender systems may be subject to different ... | [
41570
] | Validation |
30,224 | 16 | Title: 3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data
Abstract: Reconstructing the underlying 3D surface of an object from a single image is a challenging problem that has received extensive attention from the computer vision community. Many learning-based approaches tackle this pro... | [
499
] | Train |
30,225 | 16 | Title: CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images
Abstract: Three-dimensional (3D) imaging is extremely popular in medical imaging as it enables diagnosis and disease monitoring through complete anatomical coverage. Computed Tomography or Magnetic Res... | [] | Train |
30,226 | 15 | Title: Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars
Abstract: Passive resistive random access memory (ReRAM) crossbar arrays, a promising emerging technology used for analog matrix-vector multiplications, are far superior to their activ... | [] | Train |
30,227 | 16 | Title: Stochastic Segmentation with Conditional Categorical Diffusion Models
Abstract: Semantic segmentation has made significant progress in recent years thanks to deep neural networks, but the common objective of generating a single segmentation output that accurately matches the image's content may not be suitable f... | [
5466,
35500,
4887
] | Test |
30,228 | 24 | Title: Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
Abstract: We present AIRS: Automatic Intrinsic Reward Shaping that intelligently and adaptively provides high-quality intrinsic rewards to enhance exploration in reinforcement learning (RL). More specifically, AIRS selects shaping ... | [] | Train |
30,229 | 16 | Title: Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
Abstract: Benefiting from prompt tuning, recent years have witnessed the promising performance of pre-trained vision-language models, e.g., CLIP, on versatile downstream tasks. In this paper, we focus on a particular setting of learn... | [
21152,
9425,
14213,
15918
] | Train |
30,230 | 27 | Title: Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks
Abstract: Legged robots operating in real-world environments must possess the ability to rapidly adapt to unexpected conditions, such as changing terrains and varying payloads. This paper introduces th... | [
23756,
710,
41687
] | Validation |
30,231 | 1 | Title: Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data
Abstract: Infant sleep is critical to brain and behavioral development. Prior studies on infant sleep/wake classification have been largely limited to reliance on expensive... | [] | Train |
30,232 | 30 | Title: Fact-Checking Complex Claims with Program-Guided Reasoning
Abstract: Fact-checking real-world claims often requires collecting multiple pieces of evidence and applying complex multi-step reasoning. In this paper, we present Program-Guided Fact-Checking (ProgramFC), a novel fact-checking model that decomposes com... | [
634,
4823
] | Validation |
30,233 | 28 | Title: Cooperative Channel Capacity Learning
Abstract: In this letter, the problem of determining the capacity of a communication channel is formulated as a cooperative game, between a generator and a discriminator, that is solved via deep learning techniques. The task of the generator is to produce channel input sampl... | [] | Train |
30,234 | 16 | Title: Condition-Adaptive Graph Convolution Learning for Skeleton-Based Gait Recognition
Abstract: Graph convolutional networks have been widely applied in skeleton-based gait recognition. A key challenge in this task is to distinguish the individual walking styles of different subjects across various views. Existing s... | [
14596
] | Train |
30,235 | 5 | Title: Autonomous and Ubiquitous In-node Learning Algorithms of Active Directed Graphs and Its Storage Behavior
Abstract: Memory is an important cognitive function for humans. How a brain with such a small power can complete such a complex memory function, the working mechanism behind this is undoubtedly fascinating. E... | [] | Validation |
30,236 | 2 | Title: Non-determinism in a linear logic type discipline: A concrete categorical perspective
Abstract: We consider the linear lambda-calculus extended with the sup type constructor, which provides an additive conjunction along with a non-deterministic destructor. The sup type constructor has been introduced in the cont... | [] | Train |
30,237 | 17 | Title: View Correspondence Network for Implicit Light Field Representation
Abstract: We present a novel technique for implicit neural representation of light fields at continuously defined viewpoints with high quality and fidelity. Our implicit neural representation maps 4D coordinates defining two-plane parameterizati... | [] | Train |
30,238 | 16 | Title: CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction
Abstract: Recent advances in neural reconstruction using posed image sequences have made remarkable progress. However, due to the lack of depth information, existing volumetric-based techniques simply duplicate 2D image features of the o... | [
37944,
36828,
19798
] | Validation |
30,239 | 30 | Title: ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
Abstract: Few-shot text classification has recently been promoted by the meta-learning paradigm which aims to identify target classes with knowledge transferred from source classes with sets of small tasks named episodes. Despite thei... | [
7461,
18791,
3508,
1749,
43095,
6039,
12250,
33630
] | Validation |
30,240 | 6 | Title: Women's Perspectives on Harm and Justice after Online Harassment
Abstract: Social media platforms aspire to create online experiences where users can participate safely and equitably. However, women around the world experience widespread online harassment, including insults, stalking, aggression, threats, and no... | [
41600,
38467,
42427
] | Train |
30,241 | 16 | Title: Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species
Abstract: Visual as well as genetic biometrics are routinely employed to identify species and individuals in biological applications. However, no attempts have been made in this domain to computationally enhance visual classification of ... | [
27223
] | Validation |
30,242 | 23 | Title: A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation
Abstract: Due to the development of pre-trained language models, automated code generation techniques have shown great promise in recent years. However, the generated code is difficult to meet the syntactic constraints of the target... | [
17963,
25892,
42295
] | Test |
30,243 | 30 | Title: Language Is Not All You Need: Aligning Perception with Language Models
Abstract: A big convergence of language, multimodal perception, action, and world modeling is a key step toward artificial general intelligence. In this work, we introduce Kosmos-1, a Multimodal Large Language Model (MLLM) that can perceive g... | [
5,
19983,
44561,
8210,
16917,
45590,
46101,
30745,
37420,
17968,
7732,
19509,
33853,
43070,
575,
19013,
24653,
14928,
18007,
35930,
37987,
31850,
13935,
6770,
14966,
19578,
14974,
45189,
25226,
41104,
10897,
4251,
36522,
3248,
18621,
45245,
268... | Train |
30,244 | 30 | Title: HistAlign: Improving Context Dependency in Language Generation by Aligning with History
Abstract: Language models (LMs) can generate hallucinations and incoherent outputs, which highlights their weak context dependency. Cache-LMs, which augment LMs with a memory of recent history, can increase context dependency... | [
17976,
22701,
38102
] | Test |
30,245 | 30 | Title: Unsupervised Broadcast News Summarization; a Comparative Study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA)
Abstract: The automatic speech summarization methods traditionally are classified into two groups: supervised and unsupervised methods. Supervised methods rely on a set of feature... | [] | Train |
30,246 | 4 | Title: Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection
Abstract: This paper proposes a data-efficient detection method for deep neural networks against backdoor attacks under a black-box scenario. The proposed approach is motivated by the intuition that features corresponding ... | [] | Train |
30,247 | 24 | Title: SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Abstract: Intelligent fault diagnosis has made extraordinary advancements currently. Nonetheless, few works tackle class-incremental learning for fault diagnosis under limited fault data, i.e., imbalanc... | [] | Train |
30,248 | 8 | Title: Resource Cooperation in MEC and SDN based Vehicular Networks
Abstract: Internet of Things (IoT) systems require highly scalable infrastructure to adaptively provide services to meet various performance requirements. Combining Software-Defined Networking (SDN) with Mobile Edge Cloud (MEC) technology brings more f... | [] | Train |
30,249 | 4 | Title: Analyzing and Improving Eligibility Verifiability of the Proposed Belgian Remote Voting System
Abstract: This paper discusses several recent electronic-paper remote voting hybrid schemes, concentrating more specifically on the proposal put forward for Belgian elections. We point to some problems in the proposal,... | [] | Test |
30,250 | 4 | Title: Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System
Abstract: The RRAM-based neuromorphic computing system (NCS) has amassed explosive interests for its superior data processing capability and energy efficiency than traditional architectures, and thus being widely used in many data-centri... | [] | Validation |
30,251 | 30 | Title: Selectively Answering Ambiguous Questions
Abstract: Trustworthy language models should abstain from answering questions when they do not know the answer. However, the answer to a question can be unknown for a variety of reasons. Prior research has focused on the case in which the question is clear and the answer... | [
12896,
4340,
37360
] | Train |
30,252 | 16 | Title: Learning a Depth Covariance Function
Abstract: We propose learning a depth covariance function with applications to geometric vision tasks. Given RGB images as input, the covariance function can be flexibly used to define priors over depth functions, predictive distributions given observations, and methods for a... | [] | Validation |
30,253 | 27 | Title: Switching Pushing Skill Combined MPC and Deep Reinforcement Learning for Planar Non-prehensile Manipulation
Abstract: In this paper, a novel switching pushing skill algorithm is proposed to improve the efficiency of planar non-prehensile manipulation, which draws inspiration from human pushing actions and compri... | [] | Train |
30,254 | 25 | Title: Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms
Abstract: In this paper, we present a method for fine-tuning models trained on the Deep Noise Suppression (DNS) 2020 Challenge to improve their performance on Voice over Internet Protocol (VoIP) applications. Our approach involves ada... | [
12186
] | Validation |
30,255 | 24 | Title: MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
Abstract: Domain decomposition methods (DDMs) are popular solvers for discretized systems of partial differential equations (PDEs), with one-level and multilevel variants. These solvers rely on several algorithmic and ma... | [] | Train |
30,256 | 30 | Title: Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text
Abstract: Modeling text-based time-series to make prediction about a future event or outcome is an important task with a wide range of applications. The standard approach is to train and test the model using the same input win... | [] | Train |
30,257 | 30 | Title: N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition
Abstract: Whisper, the recently developed multilingual weakly supervised model, is reported to perform well on multiple speech recognition benchmarks in both monolingual and multilingual settings. However, it is not clear how Whisper would fare ... | [] | Train |
30,258 | 3 | Title: A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
Abstract: Recent technological advancements have considerately improved healthcare systems to provide various intelligent healthcare services and improve the quality of life. Federated learning ... | [
15344,
19353,
14204,
35358,
30719
] | Train |
30,259 | 24 | Title: Mobiprox: Supporting Dynamic Approximate Computing on Mobiles
Abstract: Runtime-tunable context-dependent network compression would make mobile deep learning adaptable to often varying resource availability, input"difficulty", or user needs. The existing compression techniques significantly reduce the memory, pr... | [] | Train |
30,260 | 16 | Title: The challenge of representation learning: Improved accuracy in deep vision models does not come with better predictions of perceptual similarity
Abstract: Over the last years, advancements in deep learning models for computer vision have led to a dramatic improvement in their image classification accuracy. Howev... | [] | Train |
30,261 | 3 | Title: Typology of Risks of Generative Text-to-Image Models
Abstract: This paper investigates the direct risks and harms associated with modern text-to-image generative models, such as DALL-E and Midjourney, through a comprehensive literature review. While these models offer unprecedented capabilities for generating im... | [
39680,
41839,
45104,
35604,
40693,
35513,
42586,
45563,
19773
] | Train |
30,262 | 16 | Title: Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation
Abstract: End-to-end weakly supervised semantic segmentation aims at optimizing a segmentation model in a single-stage training process based on only image annotations. Existing methods adopt an online-trained classification branch ... | [] | Train |
30,263 | 10 | Title: Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Abstract: In light of the challenges and costs of real-world testing, autonomous vehicle developers often rely on testing in simulation for the creation of reliable systems. A key element of effective simulation is the incorporation of r... | [
9384,
295
] | Train |
30,264 | 30 | Title: Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
Abstract: The evaluation of natural language processing (NLP) systems is crucial for advancing the field, but current benchmarking approaches often assume that all systems have scores available for all tasks, which is not always pra... | [
28600,
42908,
20228
] | Test |
30,265 | 16 | Title: Cross-View Visual Geo-Localization for Outdoor Augmented Reality
Abstract: Precise estimation of global orientation and location is critical to ensure a compelling outdoor Augmented Reality (AR) experience. We address the problem of geo-pose estimation by cross-view matching of query ground images to a geo-refer... | [] | Train |
30,266 | 30 | Title: Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
Abstract: Large Language Models (LLMs) have demonstrated remarkable success in diverse natural language processing (NLP) tasks in general domains. However, LLMs sometimes generate responses ... | [
7936,
13700,
31218,
2102,
634,
11614,
29375
] | Train |
30,267 | 28 | Title: Data-Driven Neural Polar Codes for Unknown Channels With and Without Memory
Abstract: In this work, a novel data-driven methodology for designing polar codes for channels with and without memory is proposed. The methodology is suitable for the case where the channel is given as a"black-box"and the designer has a... | [] | Train |
30,268 | 6 | Title: Merging in a Coupled Driving Simulator: How do drivers resolve conflicts?
Abstract: Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provid... | [
12820
] | Test |
30,269 | 2 | Title: Termination of linear loops under commutative updates
Abstract: We consider the following problem: given d × d rational matrices A1, …, Ak and a polyhedral cone , decide whether there exists a non-zero vector whose orbit under multiplication by A1, …, Ak is contained in . This problem can be interpreted as verif... | [] | Train |
30,270 | 16 | Title: VVC Extension Scheme for Object Detection Using Contrast Reduction
Abstract: In recent years, video analysis using Artificial Intelligence (AI) has been widely used, due to the remarkable development of image recognition technology using deep learning. In 2019, the Moving Picture Experts Group (MPEG) has started... | [] | Validation |
30,271 | 16 | Title: FakeTracer: Proactively Defending Against Face-swap DeepFakes via Implanting Traces in Training
Abstract: Face-swap DeepFake is an emerging AI-based face forgery technique that can replace the original face in a video with a generated face of the target identity while retaining consistent facial attributes such ... | [] | Train |
30,272 | 16 | Title: Rethinking Boundary Discontinuity Problem for Oriented Object Detection
Abstract: Oriented object detection has been developed rapidly in the past few years, where rotation equivariant is crucial for detectors to predict rotated bounding boxes. It is expected that the prediction can maintain the corresponding ro... | [
13830
] | Test |
30,273 | 30 | Title: A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge
Abstract: The context-aware emotional reasoning ability of AI systems, especially in conversations, is of vital importance in applications such as online opinion mining from social media and empathetic dialogue systems.... | [
44825,
40803
] | Validation |
30,274 | 30 | Title: Free Lunch for Efficient Textual Commonsense Integration in Language Models
Abstract: Recent years have witnessed the emergence of textual commonsense knowledge bases, aimed at providing more nuanced and context-rich knowledge. The integration of external commonsense into language models has been shown to be a k... | [
38287
] | Train |
30,275 | 10 | Title: Box2EL: Concept and Role Box Embeddings for the Description Logic EL++
Abstract: Description logic (DL) ontologies extend knowledge graphs (KGs) with conceptual information and logical background knowledge. In recent years, there has been growing interest in inductive reasoning techniques for such ontologies, wh... | [
34329,
8066,
2917
] | Train |
30,276 | 23 | Title: MLinter: Learning Coding Practices from Examples—Dream or Reality?
Abstract: Coding practices are increasingly used by software companies. Their use promotes consistency, readability, and maintainability, which contribute to software quality. Coding practices were initially enforced by general-purpose linters, b... | [] | Train |
30,277 | 26 | Title: An impossibility result for Markov Chain Monte Carlo sampling from micro-canonical bipartite graph ensembles
Abstract: Markov Chain Monte Carlo (MCMC) algorithms are commonly used to sample from graph ensembles. Two graphs are neighbors in the state space if one can be obtained from the other with only a few mod... | [] | Validation |
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