node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
24,778 | 16 | Title: FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction
Abstract: Predicting the future trajectories of the traffic agents is a gordian technique in autonomous driving. However, trajectory prediction suffers from data imbalance in the prevalent datasets, and ... | [] | Train |
24,779 | 16 | Title: MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree
Abstract: Binary neural networks (BNNs) have been widely adopted to reduce the computational cost and memory storage on edge-computing devices by using one-bit representation for activations and weights. However, as n... | [] | Train |
24,780 | 28 | Title: Integrated Sensing-Communication-Computation for Over-the-Air Edge AI Inference
Abstract: Edge-device co-inference refers to deploying well-trained artificial intelligent (AI) models at the network edge under the cooperation of devices and edge servers for providing ambient intelligent services. For enhancing th... | [
30925,
11287
] | Train |
24,781 | 4 | Title: SSO-Monitor: Fully-Automatic Large-Scale Landscape, Security, and Privacy Analyses of Single Sign-On in the Wild
Abstract: Single Sign-On (SSO) shifts the crucial authentication process on a website to to the underlying SSO protocols and their correct implementation. To strengthen SSO security, organizations, su... | [] | Test |
24,782 | 37 | Title: DTT: An Example-Driven Tabular Transformer by Leveraging Large Language Models
Abstract: Many organizations rely on data from government and third-party sources, and those sources and organizations do not follow the same data formatting. This introduces challenges in integrating data from multiple sources. Comme... | [] | Train |
24,783 | 39 | Title: Complexity and equivalency of multiset dimension and ID-colorings
Abstract: This investigation is firstly focused into showing that two metric parameters represent the same object in graph theory. That is, we prove that the multiset resolving sets and the ID-colorings of graphs are the same thing. We also consid... | [] | Train |
24,784 | 24 | Title: Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Abstract: Generative Flow Networks (GFlowNets), a class of generative models over discrete and structured sample spaces, have been previously applied to the problem of inferring the marginal posterior distributio... | [
17762,
43749,
34630,
45801,
15438,
29267,
21081,
17308
] | Train |
24,785 | 34 | Title: Detection of Dense Subhypergraphs by Low-Degree Polynomials
Abstract: Detection of a planted dense subgraph in a random graph is a fundamental statistical and computational problem that has been extensively studied in recent years. We study a hypergraph version of the problem. Let $G^r(n,p)$ denote the $r$-unifo... | [
21876
] | Test |
24,786 | 16 | Title: Causality-aware Visual Scene Discovery for Cross-Modal Question Reasoning
Abstract: Existing visual question reasoning methods usually fail to explicitly discover the inherent causal mechanism and ignore the complex event-level understanding that requires jointly modeling cross-modal event temporality and causal... | [
32449,
25941
] | Train |
24,787 | 16 | Title: Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
Abstract: Vision Transformers achieve impressive accuracy across a range of visual recognition tasks. Unfortunately, their accuracy frequently comes with high computational costs. This is a particular issue in video recognition, where m... | [] | Train |
24,788 | 15 | Title: HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices
Abstract: For Human Action Recognition tasks (HAR), 3D Convolutional Neural Networks have proven to be highly effective, achieving state-of-the-art results. This study introduces a novel streaming architecture-based toolflow for ma... | [
20851,
39742,
25631
] | Train |
24,789 | 28 | Title: Polar Codes with Local-Global Decoding
Abstract: In this paper, we investigate a coupled polar code architecture that supports both local and global decoding. This local-global construction is motivated by practical applications in data storage and transmission where reduced-latency recovery of sub-blocks of the... | [] | Validation |
24,790 | 23 | Title: Quantitative Toolchain Assurance
Abstract: The software bill of materials (SBOM) concept aims to include more information about a software build such as copyrights, dependencies and security references. But SBOM lacks visibility into the process for building a package. Efforts such as Supply-chain Levels for Sof... | [] | Train |
24,791 | 24 | Title: GIPA++: A General Information Propagation Algorithm for Graph Learning
Abstract: Graph neural networks (GNNs) have been widely used in graph-structured data computation, showing promising performance in various applications such as node classification, link prediction, and network recommendation. Existing works ... | [] | Train |
24,792 | 3 | Title: Dual Use Concerns of Generative AI and Large Language Models
Abstract: We suggest the implementation of the Dual Use Research of Concern (DURC) framework, originally designed for life sciences, to the domain of generative AI, with a specific focus on Large Language Models (LLMs). With its demonstrated advantages... | [
497,
27282,
22476
] | Test |
24,793 | 30 | Title: cTBLS: Augmenting Large Language Models with Conversational Tables
Abstract: Optimizing accuracy and performance while eliminating hallucinations of open-domain conversational large language models (LLMs) is an open research challenge. A particularly promising direction is to augment and ground LLMs with informa... | [
39513,
27669,
9518
] | Train |
24,794 | 30 | Title: An Anchor Learning Approach for Citation Field Learning
Abstract: Citation field learning is to segment a citation string into fields of interest such as author, title, and venue. Extracting such fields from citations is crucial for citation indexing, researcher profile analysis, etc. User-generated resources li... | [
45300
] | Train |
24,795 | 16 | Title: Flow-guided Semi-supervised Video Object Segmentation
Abstract: We propose an optical flow-guided approach for semi-supervised video object segmentation. Optical flow is usually exploited as additional guidance information in unsupervised video object segmentation. However, its relevance in semi-supervised video o... | [] | Test |
24,796 | 23 | Title: Understanding Solidity Event Logging Practices in the Wild
Abstract: Writing logging messages is a well-established conventional programming practice, and it is of vital importance for a wide variety of software development activities. The logging mechanism in Solidity programming is enabled by the high-level ev... | [
41544
] | Train |
24,797 | 24 | Title: Linearized Wasserstein dimensionality reduction with approximation guarantees
Abstract: We introduce LOT Wassmap, a computationally feasible algorithm to uncover low-dimensional structures in the Wasserstein space. The algorithm is motivated by the observation that many datasets are naturally interpreted as prob... | [] | Train |
24,798 | 28 | Title: Machine learning‐based methods for joint detection‐channel estimation in OFDM systems
Abstract: In this work, two machine learning (ML)‐based structures for joint detection‐channel estimation in OFDM systems are proposed and extensively characterized. Both ML architectures, namely Deep Neural Network (DNN) and E... | [] | Train |
24,799 | 16 | Title: Development and Whole-Body Validation of Personalizable Female and Male Pedestrian SAFER Human Body Models
Abstract: Vulnerable road users are overrepresented in the worldwide number of road-traffic injury victims. Developing biofidelic male and female pedestrian HBMs representing a range of anthropometries is i... | [] | Validation |
24,800 | 15 | Title: Python Framework for Modular and Parametric SPICE Netlists Generation
Abstract: Due to the complex specifications of current electronic systems, design decisions need to be explored automatically. However, the exploration process is a complex task given the plethora of design choices such as the selection of com... | [] | Train |
24,801 | 15 | Title: CXLMemUring: A Hardware Software Co-design Paradigm for Asynchronous and Flexible Parallel CXL Memory Pool Access
Abstract: CXL has been the emerging technology for expanding memory for both the host CPU and device accelerators with load/store interface. Extending memory coherency to the PCIe root complex makes ... | [
38227,
45436,
40630
] | Train |
24,802 | 16 | Title: AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
Abstract: Large-scale pre-trained vision-language models allow for the zero-shot text-based generation of 3D avatars. The previous state-of-the-art method utilized CLIP to supervise neural implicit models that reconstructed a ... | [
6560,
43875,
34167
] | Train |
24,803 | 5 | Title: Single Event Effects Assessment of UltraScale+ MPSoC Systems under Atmospheric Radiation
Abstract: The AMD UltraScale+ XCZU9EG device is a Multi-Processor System-on-Chip (MPSoC) with embedded Programmable Logic (PL) that excels in many Edge (e.g., automotive or avionics) and Cloud (e.g., data centres) terrestria... | [] | Validation |
24,804 | 6 | Title: Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition
Abstract: Recently, wearable emotion recognition based on peripheral physiological signals has drawn massive attention due to its less invasive nature and its applicability in real-life scenarios. However, how t... | [] | Train |
24,805 | 16 | Title: GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Abstract: Multi-Label Image Recognition (MLIR) is a challenging task that aims to predict multiple object labels in a single image while modeling the complex relationships between labels and image regions. Althou... | [] | Train |
24,806 | 24 | Title: Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning
Abstract: Dispatching strategies for gas turbines (GTs) are changing in modern electricity grids. A growing incorporation of intermittent renewable energy requires GTs to operate more but shorter cycles and more frequently on partial loads. D... | [] | Train |
24,807 | 30 | Title: Discriminator-Guided Multi-step Reasoning with Language Models
Abstract: In the context of multi-step reasoning, language models (LMs) probabilities are often miscalibrated -- solutions with high probabilities are not always correct. Therefore, greedy decoding, which is the standard decoding method for reasoning... | [
37411,
13700,
12741,
25447,
6353,
9975,
35545,
39451
] | Train |
24,808 | 30 | Title: Semantic Network Model for Sign Language Comprehension
Abstract: In this study, the authors propose a computational cognitive model for sign language (SL) perception and comprehension with detailed algorithmic descriptions based on cognitive functionalities in human language processing. The semantic network mode... | [] | Train |
24,809 | 27 | Title: Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy
Abstract: The classical Model Predictive Path Integral (MPPI) control framework lacks reliable safety guarantees since it relies on a risk-neutral trajectory evaluation technique, which can present challenges for safety... | [
4776
] | Train |
24,810 | 28 | Title: On the Capacity Region of Optical Intensity Broadcast Channels
Abstract: This paper investigates the capacity region of the optical intensity broadcast channels (OI-BCs), where the input is subject to a peak-intensity constraint, an average-intensity constraint, or both. By leveraging the decomposition results o... | [] | Train |
24,811 | 33 | Title: Research Challenges in Orchestration Synthesis
Abstract: Contract automata allow to formally define the behaviour of service contracts in terms of service offers and requests, some of which are moreover optional and some of which are necessary. A composition of contracts is said to be in agreement if all service... | [] | Validation |
24,812 | 4 | Title: The complexity of solving a random polynomial system
Abstract: A multivariate cryptograpic instance in practice is a multivariate polynomial system. So the security of a protocol rely on the complexity of solving a multivariate polynomial system. In this paper there is an overview on a general algorithm used to ... | [] | Test |
24,813 | 5 | Title: Performance and Energy Consumption of Parallel Machine Learning Algorithms
Abstract: Machine learning models have achieved remarkable success in various real-world applications such as data science, computer vision, and natural language processing. However, model training in machine learning requires large-scale... | [
26377
] | Test |
24,814 | 16 | Title: Learning Human Mesh Recovery in 3D Scenes
Abstract: We present a novel method for recovering the absolute pose and shape of a human in a pre-scanned scene given a single image. Unlike previous methods that perform scene-aware mesh optimization, we propose to first estimate absolute position and dense scene conta... | [
22791
] | Validation |
24,815 | 16 | Title: Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Abstract: Training a deep learning model to classify histopathological images is challenging, because of the color and shape variability of the cells and tissues, and the reduced amount of available data, which does not ... | [] | Train |
24,816 | 16 | Title: Markerless Motion Capture and Biomechanical Analysis Pipeline
Abstract: Markerless motion capture using computer vision and human pose estimation (HPE) has the potential to expand access to precise movement analysis. This could greatly benefit rehabilitation by enabling more accurate tracking of outcomes and pro... | [
1865,
27892
] | Train |
24,817 | 16 | Title: CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes
Abstract: We introduce CN-DHF (Compact Neural Double-Height-Field), a novel hybrid neural implicit 3D shape representation that is dramatically more compact than the current state of the art. Our representation leverages Double-Height-Field ... | [] | Validation |
24,818 | 24 | Title: Geometric Clifford Algebra Networks
Abstract: We propose Geometric Clifford Algebra Networks (GCANs) for modeling dynamical systems. GCANs are based on symmetry group transformations using geometric (Clifford) algebras. We first review the quintessence of modern (plane-based) geometric algebra, which builds on i... | [
42826,
878,
15407,
27475,
1116
] | Validation |
24,819 | 24 | Title: Provably Powerful Graph Neural Networks for Directed Multigraphs
Abstract: This paper proposes a set of simple adaptations to transform standard message-passing Graph Neural Networks (GNN) into provably powerful directed multigraph neural networks. The adaptations include multigraph port numbering, ego IDs, and ... | [
34995
] | Train |
24,820 | 28 | Title: Deep Learning Based Joint Beamforming Design in IRS-Assisted Secure Communications
Abstract: In this article, physical layer security (PLS) in an intelligent reflecting surface (IRS) assisted multiple-input multiple-output multiple antenna eavesdropper (MIMOME) system is studied. In particular, we consider a pra... | [] | Validation |
24,821 | 25 | Title: Joint speech and overlap detection: a benchmark over multiple audio setup and speech domains
Abstract: Voice activity and overlapped speech detection (respectively VAD and OSD) are key pre-processing tasks for speaker diarization. The final segmentation performance highly relies on the robustness of these sub-ta... | [] | Train |
24,822 | 30 | Title: Long Text Generation Challenge
Abstract: We propose a shared task of human-like long text generation, LTG Challenge, that asks models to output a consistent human-like long text (a Harry Potter generic audience fanfic in English), given a prompt of about 1000 tokens. We suggest a novel statistical metric of the ... | [
13700,
40030
] | Train |
24,823 | 24 | Title: A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications
Abstract: Generative Adversarial Networks (GANs) have demonstrated their ability to generate synthetic samples that match a target distribution. However, from a privacy perspective, using GANs as a proxy for data sharing ... | [
42236
] | Train |
24,824 | 24 | Title: An Efficient Shapley Value Computation for the Naive Bayes Classifier
Abstract: Variable selection or importance measurement of input variables to a machine learning model has become the focus of much research. It is no longer enough to have a good model, one also must explain its decisions. This is why there ar... | [] | Train |
24,825 | 16 | Title: Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation
Abstract: Despite the success of deep learning models on instance segmentation, current methods still suffer from catastrophic forgetting in continual learning scenarios. In this paper, our contributions for continual instance segmentation are th... | [
35180
] | Train |
24,826 | 4 | Title: End-to-End O-RAN Security Architecture, Threat Surface, Coverage, and the Case of the Open Fronthaul
Abstract: O-RAN establishes an advanced radio access network (RAN) architecture that supports inter-operable, multi-vendor, and artificial intelligence (AI) controlled wireless access networks. The unique compone... | [] | Train |
24,827 | 4 | Title: Few-shot Detection of Anomalies in Industrial Cyber-Physical System via Prototypical Network and Contrastive Learning
Abstract: The rapid development of Industry 4.0 has amplified the scope and destructiveness of industrial Cyber-Physical System (CPS) by network attacks. Anomaly detection techniques are employed... | [] | Validation |
24,828 | 24 | Title: Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
Abstract: The robustness of a deep classifier can be characterized by its margins: the decision boundary's distances to natural data points. However, it is unclear whether existing robust training methods effectively increase the marg... | [
25740,
15733,
33414
] | Validation |
24,829 | 6 | Title: Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services
Abstract: Recent years have seen growing adoption of AI-based decision-support systems (ADS) in homeless services, yet we know little about stakeholder desires and concerns surrounding their use. In this work,... | [
8920,
9536,
7859,
44812
] | Train |
24,830 | 30 | Title: Collecting Visually-Grounded Dialogue with A Game Of Sorts
Abstract: An idealized, though simplistic, view of the referring expression production and grounding process in (situated) dialogue assumes that a speaker must merely appropriately specify their expression so that the target referent may be successfully ... | [] | Test |
24,831 | 28 | Title: Spatial Scattering Modulation with Multipath Component Aggregation Based on Antenna Arrays
Abstract: In this paper, a multipath component aggregation (MCA) mechanism is introduced for spatial scattering modulation (SSM) to overcome the limitation in conventional SSM that the transmit antenna array steers the bea... | [] | Train |
24,832 | 30 | Title: EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets
Abstract: Large language models (LLMs) have shown promising performance on various NLP tasks via task prompting. And their performance can be further improved by appending task demonstrations to the head of the promp... | [
35545,
23238,
43327
] | Validation |
24,833 | 30 | Title: Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation
Abstract: Abstract Non-AutoRegressive (NAR) text generation models have drawn much attention because of their significantly faster decoding speed and good generation quality in machine translation. However, in a wider r... | [
8939,
21047
] | Train |
24,834 | 10 | Title: Knowledge-enhanced Neural Machine Reasoning: A Review
Abstract: Knowledge-enhanced neural machine reasoning has garnered significant attention as a cutting-edge yet challenging research area with numerous practical applications. Over the past few years, plenty of studies have leveraged various forms of external ... | [
44124
] | Test |
24,835 | 24 | Title: Fast Feedforward Networks
Abstract: We break the linear link between the layer size and its inference cost by introducing the fast feedforward (FFF) architecture, a log-time alternative to feedforward networks. We demonstrate that FFFs are up to 220x faster than feedforward networks, up to 6x faster than mixture... | [] | Train |
24,836 | 24 | Title: DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT
Abstract: Federated learning (FL) aims to collaboratively train a global model while ensuring client data privacy. However, FL faces challenges from the non-IID data distribution among clients. Clustered FL (CFL) has emerged as a promising solu... | [] | Validation |
24,837 | 28 | Title: On the Coexistence of eMBB and URLLC in Multi-Cell Massive MIMO
Abstract: The non-orthogonal coexistence between the enhanced mobile broadband (eMBB) and the ultra-reliable low-latency communication (URLLC) in the downlink of a multi-cell massive MIMO system is rigorously analyzed in this work. We provide a unif... | [
23750
] | Validation |
24,838 | 30 | Title: Computational Language Assessment: Open Brain AI
Abstract: Language assessment plays a crucial role in diagnosing and treating individuals with speech, language, and communication disorders caused by neurogenic conditions, whether developmental or acquired. However, traditional manual assessment methods have sev... | [] | Test |
24,839 | 4 | Title: A Provably Secure Strong PUF Based on LWE: Construction and Implementation
Abstract: We construct a strong physical unclonable function (PUF) with provable security against machine learning (ML) attacks on both classical and quantum computers. The security is guaranteed by the cryptographic hardness of learning ... | [] | Train |
24,840 | 16 | Title: Graph-based Representation for Image based on Granular-ball
Abstract: Current image processing methods usually operate on the finest-granularity unit; that is, the pixel, which leads to challenges in terms of efficiency, robustness, and understandability in deep learning models. We present an improved granular-b... | [] | Train |
24,841 | 30 | Title: How (Not) to Use Sociodemographic Information for Subjective NLP Tasks
Abstract: Annotators' sociodemographic backgrounds (i.e., the individual compositions of their gender, age, educational background, etc.) have a strong impact on their decisions when working on subjective NLP tasks, such as hate speech detect... | [
33153,
26428,
846,
33369,
29375,
729,
40693,
41721,
38262,
6233,
28155,
7004,
15353,
25470,
39295
] | Train |
24,842 | 3 | Title: Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity
Abstract: Empirical evidence suggests that algorithmic decisions driven by Machine Learning (ML) techniques threaten to discriminate against legally protected groups or create new sources of ... | [] | Train |
24,843 | 6 | Title: An Analysis of Dialogue Repair in Virtual Voice Assistants
Abstract: Language speakers often use what are known as repair initiators to mend fundamental disconnects that occur between them during verbal communication. Previous research in this field has mainly focused on the human-to-human use of repair initiato... | [] | Test |
24,844 | 28 | Title: Massive MIMO with Cauchy Noise: Channel Estimation, Achievable Rate and Data Decoding
Abstract: We consider massive multiple-input multiple-output (MIMO) systems in the presence of Cauchy noise. First, we focus on the channel estimation problem. In the standard massive MIMO setup, the users transmit orthonormal ... | [] | Train |
24,845 | 20 | Title: Fully Dynamic Maximum Independent Sets of Disks in Polylogarithmic Update Time
Abstract: A fundamental question in computational geometry is for a dynamic collection of geometric objects in Euclidean space, whether it is possible to maintain a maximum independent set in polylogarithmic update time. Already, for ... | [] | Train |
24,846 | 34 | Title: Parameterized Approximation Schemes for Clustering with General Norm Objectives
Abstract: This paper considers the well-studied algorithmic regime of designing a $(1+\epsilon)$-approximation algorithm for a $k$-clustering problem that runs in time $f(k,\epsilon)poly(n)$ (sometimes called an efficient parameteriz... | [
43447
] | Train |
24,847 | 27 | Title: Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation
Abstract: Multi-finger grasping relies on high quality training data, which is hard to obtain: human data is hard to transfer and synthetic data relies on simplifying assumptions that reduce grasp quality. By making grasp sim... | [] | Train |
24,848 | 31 | Title: AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations
Abstract: Multi-task learning (MTL) aims to enhance the performance and efficiency of machine learning models by simultaneously training them on multiple tasks. However, MTL research faces two challenges: 1) effectively modelin... | [] | Train |
24,849 | 10 | Title: On Logic-Based Explainability with Partially Specified Inputs
Abstract: In the practical deployment of machine learning (ML) models, missing data represents a recurring challenge. Missing data is often addressed when training ML models. But missing data also needs to be addressed when deciding predictions and wh... | [
19060
] | Train |
24,850 | 8 | Title: Uberization of Telecom Networks for Cost-Efficient Communication and Computing
Abstract: This article discusses the uberization of telecommunication and computing network services. The Uber-like platform business model is discussed for application in future networks together with interesting analogies of communi... | [] | Validation |
24,851 | 24 | Title: Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Abstract: Continual learning aims to empower artificial intelligence (AI) with strong adaptability to the real world. For this purpose, a desirable solution should properly balance memory stability with learning plasticit... | [
10783
] | Train |
24,852 | 4 | Title: Transient Attack against the KLJN Secure Key Exchanger
Abstract: We demonstrate the security vulnerability of the ideal Kirchhoff-Law-Johnson-Noise (KLJN) key exchanger against transient attacks. Transients start when Alice and Bob connect the wire to their chosen resistor at the beginning of each clock cycle. A... | [] | Train |
24,853 | 27 | Title: Learning a Universal Human Prior for Dexterous Manipulation from Human Preference
Abstract: Generating human-like behavior on robots is a great challenge especially in dexterous manipulation tasks with robotic hands. Scripting policies from scratch is intractable due to the high-dimensional control space, and tr... | [
42725,
12051,
15221
] | Validation |
24,854 | 16 | Title: Geometric-aware Pretraining for Vision-centric 3D Object Detection
Abstract: Multi-camera 3D object detection for autonomous driving is a challenging problem that has garnered notable attention from both academia and industry. An obstacle encountered in vision-based techniques involves the precise extraction of ... | [
38330,
2756
] | Test |
24,855 | 16 | Title: Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos
Abstract: Modeling sounds emitted from physical object interactions is critical for immersive perceptual experiences in real and virtual worlds. Traditional methods of impact sound synthesis use physics simulation to obtain a set of physics p... | [
27704
] | Train |
24,856 | 16 | Title: Spatial-temporal Transformer for Affective Behavior Analysis
Abstract: The in-the-wild affective behavior analysis has been an important study. In this paper, we submit our solutions for the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), which includes V-A Estimation, Facial Expr... | [
23627
] | Test |
24,857 | 27 | Title: Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
Abstract: In addition to its crucial impact on customer satisfaction, last-mile delivery (LMD) is notorious for being the most time-consuming and costly stage of the shipping process. Pressing environmental concerns c... | [] | Test |
24,858 | 16 | Title: Robustifying Token Attention for Vision Transformers
Abstract: Despite the success of vision transformers (ViTs), they still suffer from significant drops in accuracy in the presence of common corruptions, such as noise or blur. Interestingly, we observe that the attention mechanism of ViTs tends to rely on few ... | [
41773
] | Test |
24,859 | 36 | Title: Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms
Abstract: Wide machine learning tasks can be formulated as non-convex multi-player games, where Nash equilibrium (NE) is an acceptable solution to all players, since no one can benefit from changing its strategy unilaterally. Attribut... | [] | Train |
24,860 | 16 | Title: Mixed Hierarchy Network for Image Restoration
Abstract: Image restoration is a long-standing low-level vision problem, e.g., deblurring and deraining. In the process of image restoration, it is necessary to consider not only the spatial details and contextual information of restoration to ensure the quality, but... | [
1861,
11886
] | Train |
24,861 | 36 | Title: Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis
Abstract: In iterative approaches to empirical game-theoretic analysis (EGTA), the strategy space is expanded incrementally based on analysis of intermediate game models. A common approach to strategy exploration, represented by the dou... | [] | Train |
24,862 | 31 | Title: Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research
Abstract: Structured interviews are used in many settings, importantly in market research on topics such as brand perception, customer habits, or preferences, which are critical to product development, marketi... | [] | Validation |
24,863 | 27 | Title: Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors
Abstract: This paper presents a novel approach to solve simultaneously the problems of human activity recognition and whole-body motion and dynamics prediction for real-time applications. Starting from the d... | [] | Train |
24,864 | 15 | Title: METICULOUS: An FPGA-based Main Memory Emulator for System Software Studies
Abstract: Due to the scaling problem of the DRAM technology, non-volatile memory devices, which are based on different principle of operation than DRAM, are now being intensively developed to expand the main memory of computers. Disaggreg... | [] | Validation |
24,865 | 24 | Title: Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
Abstract: We study $K$-armed bandit problems where the reward distributions of the arms are all supported on the $[0,1]$ interval. It has been a challenge to design regret-efficient randomized exploration algorithms in this setting. ... | [] | Train |
24,866 | 16 | Title: TomatoDIFF: On–plant Tomato Segmentation with Denoising Diffusion Models *
Abstract: Artificial intelligence applications enable farmers to optimize crop growth and production while reducing costs and environmental impact. Computer vision-based algorithms in particular, are commonly used for fruit segmentation, ... | [] | Train |
24,867 | 10 | Title: Large Language Models as Data Preprocessors
Abstract: Large Language Models (LLMs), typified by OpenAI's GPT series and Meta's LLaMA variants, have marked a significant advancement in artificial intelligence. Trained on vast amounts of text data, LLMs are capable of understanding and generating human-like text a... | [
40192,
35117,
20070
] | Train |
24,868 | 16 | Title: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving
Abstract: The performance of the current collision avoidance systems in Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS) can be drastically affected by low light and adverse weather conditions. Collisions with large anim... | [] | Train |
24,869 | 9 | Title: Lower bounds for Choiceless Polynomial Time via Symmetric XOR-circuits
Abstract: Choiceless Polynomial Time (CPT) is one of the few remaining candidate logics for capturing PTIME. In this paper, we make progress towards separating CPT from polynomial time by firstly establishing a connection between the expressi... | [] | Train |
24,870 | 28 | Title: Mobile Cell-Free Massive MIMO: Challenges, Solutions, and Future Directions
Abstract: Cell-free (CF) massive multiple-input multiple-output (MIMO) systems, which exploit many geographically distributed access points to coherently serve user equipments via spatial multiplexing on the same time-frequency resource,... | [
39911
] | Train |
24,871 | 10 | Title: Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
Abstract: Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge Graph (KG) that incorporates the dimension of time. Reasoning on TKGs is a crucial task that aims to predict future facts based on historical occurrences... | [
20527
] | Test |
24,872 | 24 | Title: Generating Personas for Games with Multimodal Adversarial Imitation Learning
Abstract: Reinforcement learning has been widely successful in producing agents capable of playing games at a human level. However, this requires complex reward engineering, and the agent's resulting policy is often unpredictable. Going... | [] | Train |
24,873 | 24 | Title: PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations
Abstract: We present a new category of physics-informed neural networks called physics informed variational embedding generative adversarial network (PI-VEGAN), that effectively tackles the forw... | [] | Train |
24,874 | 23 | Title: Evaluation of software impact designed for biomedical research: Are we measuring what’s meaningful?
Abstract: Software is vital for the advancement of biology and medicine. Through analysis of usage and impact metrics of software, developers can help determine user and community engagement. These metrics can be ... | [] | Train |
24,875 | 16 | Title: FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
Abstract: This technical report summarizes the winning solution for the 3D Occupancy Prediction Challenge, which is held in conjunction with the CVPR 2023 Workshop on End-to-End Autonomous Driving and CVPR 23 Workshop on Vision-Centric... | [
529,
2933
] | Train |
24,876 | 10 | Title: Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning
Abstract: Retrosynthesis consists of breaking down a chemical compound recursively step-by-step into molecular precursors until a set of commercially available molecules is found with the goal to provide a synthesis route. Its two prim... | [
20064,
15906
] | Validation |
24,877 | 24 | Title: Probabilistic Forecasting with Coherent Aggregation
Abstract: Obtaining accurate probabilistic forecasts while respecting hierarchical information is an important operational challenge in many applications, perhaps most obviously in energy management, supply chain planning, and resource allocation. The basic cha... | [] | Train |
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