node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
43,078 | 16 | Title: MPI-Flow: Learning Realistic Optical Flow with Multiplane Images
Abstract: The accuracy of learning-based optical flow estimation models heavily relies on the realism of the training datasets. Current approaches for generating such datasets either employ synthetic data or generate images with limited realism. Ho... | [
8642
] | Train |
43,079 | 10 | Title: Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods
Abstract: We study how to efficiently combine formal methods, Monte Carlo Tree Search (MCTS), and deep learning in order to produce high-quality receding horizon policies in large Markov Decision proc... | [
40264
] | Train |
43,080 | 16 | Title: Combining transmission speckle photography and convolutional neural network for determination of fat content in cow's milk - an exercise in classification of parameters of a complex suspension
Abstract: We have combined transmission speckle photography and machine learning for direct classification and recogniti... | [] | Train |
43,081 | 24 | Title: GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
Abstract: Graph neural networks (GNNs) have emerged as a state-of-the-art approach to model and draw inferences from large scale graph-structured data in various application settings such as social networking. The primary goal of a GNN is to... | [
41616
] | Train |
43,082 | 24 | Title: Predicting Ordinary Differential Equations with Transformers
Abstract: We develop a transformer-based sequence-to-sequence model that recovers scalar ordinary differential equations (ODEs) in symbolic form from irregularly sampled and noisy observations of a single solution trajectory. We demonstrate in extensiv... | [
23272
] | Train |
43,083 | 30 | Title: Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain
Abstract: Non-communicable diseases (NCDs) are a leading cause of global deaths, necessitating a focus on primary prevention and lifestyle behavior change. Health coaching, coupled with Question Answering (QA... | [
24760
] | Validation |
43,084 | 16 | Title: Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
Abstract: Effective image restoration with large-size corruptions, such as blind image inpainting, entails precise detection of corruption region masks which remains extremely challenging due to diverse shapes and patterns of ... | [] | Test |
43,085 | 30 | Title: Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards
Abstract: Artificial Intelligence (AI) is taking on increasingly autonomous roles, e.g., browsing the web as a research assistant and managing money. But specifying goals and rest... | [
40304,
38111
] | Test |
43,086 | 16 | Title: 3D Human Pose and Shape Estimation via HybrIK-Transformer
Abstract: HybrIK relies on a combination of analytical inverse kinematics and deep learning to produce more accurate 3D pose estimation from 2D monocular images. HybrIK has three major components: (1) pretrained convolution backbone, (2) deconvolution to ... | [] | Validation |
43,087 | 16 | Title: Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher
Abstract: This paper studies source-free domain adaptive fundus image segmentation which aims to adapt a pretrained fundus segmentation model to a target domain using unlabeled images. This is a challenging task because it is ... | [
23266,
4812
] | Test |
43,088 | 36 | Title: Bridging the Gap Between Single and Multi Objective Games
Abstract: A classic model to study strategic decision making in multi-agent systems is the normal-form game. This model can be generalised to allow for an infinite number of pure strategies leading to continuous games. Multi-objective normal-form games ar... | [] | Train |
43,089 | 16 | Title: Multi-event Video-Text Retrieval
Abstract: Video-Text Retrieval (VTR) is a crucial multi-modal task in an era of massive video-text data on the Internet. A plethora of work characterized by using a two-stream Vision-Language model architecture that learns a joint representation of video-text pairs has become a p... | [] | Validation |
43,090 | 30 | Title: PACO: Provocation Involving Action, Culture, and Oppression
Abstract: In India, people identify with a particular group based on certain attributes such as religion. The same religious groups are often provoked against each other. Previous studies show the role of provocation in increasing tensions between India... | [] | Train |
43,091 | 16 | Title: ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation
Abstract: Deep generative models have recently presented impressive results in generating realistic face images of random synthetic identities. To generate multiple samples of a certain synthetic identity, pr... | [
23153,
22834,
42579
] | Test |
43,092 | 16 | Title: Stitched ViTs are Flexible Vision Backbones
Abstract: Large pretrained plain vision Transformers (ViTs) have been the workhorse for many downstream tasks. However, existing works utilizing off-the-shelf ViTs are inefficient in terms of training and deployment, because adopting ViTs with individual sizes requires... | [
42568,
4643,
37070
] | Validation |
43,093 | 27 | Title: Optimization of Cartesian Tasks with Configuration Selection
Abstract: nan | [] | Train |
43,094 | 28 | Title: Perpetual Reconfigurable Intelligent Surfaces Through In-Band Energy Harvesting: Architectures, Protocols, and Challenges
Abstract: Reconfigurable intelligent surfaces (RISs) are considered to be a key enabler of highly energy-efficient 6G and beyond networks. This property arises from the absence of power ampli... | [] | Train |
43,095 | 30 | Title: Effective Structured Prompting by Meta-Learning and Representative Verbalizer
Abstract: Prompt tuning for pre-trained masked language models (MLM) has shown promising performance in natural language processing tasks with few labeled examples. It tunes a prompt for the downstream task, and a verbalizer is used to... | [
30239
] | Test |
43,096 | 16 | Title: SEMI-PointRend: improved semiconductor wafer defect classification and segmentation as rendering
Abstract: In this study, we applied the PointRend (Point-based Rendering) method to semiconductor defect segmentation. PointRend is an iterative segmentation algorithm inspired by image rendering in computer graphics... | [
25200
] | Train |
43,097 | 30 | Title: Concept Algebra for Score-Based Conditional Models
Abstract: This paper concerns the structure of learned representations in text-guided generative models, focusing on score-based models. Here, we focus on the idea that concepts are encoded as subspaces (or directions) of some representation space. We develop a ... | [
14490,
31562,
7655
] | Train |
43,098 | 3 | Title: Maximal fairness
Abstract: Fairness in AI has garnered quite some attention in research, and increasingly also in society. The so-called "Impossibility Theorem" has been one of the more striking research results with both theoretical and practical consequences, as it states that satisfying a certain combination ... | [] | Validation |
43,099 | 30 | Title: Romanization-based Large-scale Adaptation of Multilingual Language Models
Abstract: Large multilingual pretrained language models (mPLMs) have become the de facto state of the art for cross-lingual transfer in NLP. However, their large-scale deployment to many languages, besides pretraining data scarcity, is als... | [
32249
] | Validation |
43,100 | 3 | Title: MARTA Reach: Piloting an On-Demand Multimodal Transit System in Atlanta
Abstract: This paper reports on the results of the six-month pilot MARTA Reach, which aimed to demonstrate the potential value of On-Demand Multimodal Transit Systems (ODMTS) in the city of Atlanta, Georgia. ODMTS take a transit-centric view... | [] | Train |
43,101 | 5 | Title: Privacy-Preserving Linkage of Distributed Datasets using the Personal Health Train
Abstract: With the generation of personal and medical data at several locations, medical data science faces unique challenges when working on distributed datasets. Growing data protection requirements in recent years drastically l... | [] | Train |
43,102 | 16 | Title: MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation
Abstract: We propose Masked-Attention Transformers for Surgical Instrument Segmentation (MATIS), a two-stage, fully transformer-based method that leverages modern pixel-wise attention mechanisms for instrument segmentation. MATIS exploits ... | [
43795,
14599
] | Train |
43,103 | 31 | Title: DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries
Abstract: Named entity recognition (NER) is a crucial task for online advertisement. State-of-the-art solutions leverage pre-trained language models for this task. However, three major challenges remain unresolved: web queries diff... | [
33220,
17061,
23286,
35545,
3802
] | Train |
43,104 | 24 | Title: Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation
Abstract: Machine learning head models (MLHMs) are developed to estimate brain deformation for early detection of traumatic brain injury (TBI). However, the overfitting to ... | [] | Train |
43,105 | 16 | Title: Learning Geometry-aware Representations by Sketching
Abstract: Understanding geometric concepts, such as distance and shape, is essential for understanding the real world and also for many vision tasks. To incorporate such information into a visual representation of a scene, we propose learning to represent the ... | [] | Train |
43,106 | 25 | Title: Towards Robust FastSpeech 2 by Modelling Residual Multimodality
Abstract: State-of-the-art non-autoregressive text-to-speech (TTS) models based on FastSpeech 2 can efficiently synthesise high-fidelity and natural speech. For expressive speech datasets however, we observe characteristic audio distortions. We demo... | [] | Validation |
43,107 | 37 | Title: Modern Data Pricing Models: Taxonomy and Comprehensive Survey
Abstract: Data play an increasingly important role in smart data analytics, which facilitate many data-driven applications. The goal of various data markets aims to alleviate the issue of isolated data islands, so as to benefit data circulation. The p... | [] | Test |
43,108 | 16 | Title: F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving
Abstract: Bird's Eye View (BEV) representations are tremendously useful for perception-related automated driving tasks. However, generating BEVs from surround-view fisheye camera images is challenging due to the stro... | [] | Validation |
43,109 | 13 | Title: Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
Abstract: Learning from the interaction is the primary way biological agents know about the environment and themselves. Modern deep reinforcement learning (DRL) explores a computational approach to learning from interac... | [
17812
] | Validation |
43,110 | 16 | Title: Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Abstract: Deep learning-based recognition systems are deployed at scale for several real-world applications that inevitably involve our social life. Although being of great support when making complex decisions, they might capture spur... | [
49
] | Test |
43,111 | 13 | Title: Improved Solution Search Performance of Constrained MOEA/D Hybridizing Directional Mating and Local Mating
Abstract: In this study, we propose an improvement to the direct mating method, a constraint handling approach for multi-objective evolutionary algorithms, by hybridizing it with local mating. Local mating ... | [] | Train |
43,112 | 3 | Title: Perspectives on the Social Impacts of Reinforcement Learning with Human Feedback
Abstract: Is it possible for machines to think like humans? And if it is, how should we go about teaching them to do so? As early as 1950, Alan Turing stated that we ought to teach machines in the way of teaching a child. Reinforcem... | [
6535,
8580,
14742,
575
] | Train |
43,113 | 24 | Title: Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation
Abstract: Low-Earth orbit (LEO) satellites have been prosperously deployed for various Earth observation missions due to its capability of collecting a large amount of image or sensor data. However, traditionally, t... | [
16200,
2261
] | Train |
43,114 | 16 | Title: On the Adversarial Robustness of Camera-based 3D Object Detection
Abstract: In recent years, camera-based 3D object detection has gained widespread attention for its ability to achieve high performance with low computational cost. However, the robustness of these methods to adversarial attacks has not been thoro... | [
41680,
23713,
16078,
22815
] | Train |
43,115 | 3 | Title: The Democratic Illusion through the Technological Illusion: a Case Study of the Implementation of a Blockchain to Support an E-voting Platform in Moscow (Active Citizen)
Abstract: , | [] | Train |
43,116 | 25 | Title: LooPy: A Research-Friendly Mix Framework for Music Information Retrieval on Electronic Dance Music
Abstract: Music information retrieval (MIR) has gone through an explosive development with the advancement of deep learning in recent years. However, music genres like electronic dance music (EDM) has always been r... | [] | Test |
43,117 | 24 | Title: Real-time Traffic Classification for 5G NSA Encrypted Data Flows With Physical Channel Records
Abstract: The classification of fifth-generation New-Radio (5G-NR) mobile network traffic is an emerging topic in the field of telecommunications. It can be utilized for quality of service (QoS) management and dynamic ... | [] | Train |
43,118 | 16 | Title: SegMatch: A semi-supervised learning method for surgical instrument segmentation
Abstract: Surgical instrument segmentation is recognised as a key enabler to provide advanced surgical assistance and improve computer assisted interventions. In this work, we propose SegMatch, a semi supervised learning method to r... | [] | Train |
43,119 | 23 | Title: Boosting Automated Patch Correctness Prediction via Pre-trained Language Model
Abstract: Automated program repair (APR) aims to fix software bugs automatically without human debugging efforts and plays a crucial role in software development and maintenance. Despite the recent significant progress, APR is still c... | [
23130,
44938
] | Validation |
43,120 | 16 | Title: A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
Abstract: Video anomaly detection refers to the identification of events that deviate from the expected behavior. Due to the lack of anomalous samples in training, video anomaly detection becomes a very challengin... | [] | Test |
43,121 | 23 | Title: ACETest: Automated Constraint Extraction for Testing Deep Learning Operators
Abstract: Deep learning (DL) applications are prevalent nowadays as they can help with multiple tasks. DL libraries are essential for building DL applications. Furthermore, DL operators are the important building blocks of the DL librar... | [
45555
] | Test |
43,122 | 24 | Title: Revisiting Tropical Polynomial Division: Theory, Algorithms and Application to Neural Networks
Abstract: Tropical geometry has recently found several applications in the analysis of neural networks with piecewise linear activation functions. This paper presents a new look at the problem of tropical polynomial di... | [] | Test |
43,123 | 16 | Title: Intrinsic Appearance Decomposition Using Point Cloud Representation
Abstract: Intrinsic decomposition is to infer the albedo and shading from the image. Since it is a heavily ill-posed problem, previous methods rely on prior assumptions from 2D images, however, the exploration of the data representation itself i... | [] | Validation |
43,124 | 23 | Title: RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair
Abstract: Automatic program repair (APR) is crucial to reduce manual debugging efforts for developers and improve software reliability. While conventional search-based techniques typically rely on heuristic rules or a redundan... | [
33490,
6866
] | Train |
43,125 | 24 | Title: Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy
Abstract: Poverty maps derived from satellite imagery are increasingly used to inform high-stakes policy decisions, such as the allocation of humanitarian aid and the distributi... | [] | Train |
43,126 | 15 | Title: Yak: An Asynchronous Bundled Data Pipeline Description Language
Abstract: The design of asynchronous circuits typically requires a judicious definition of signals and modules, combined with a proper specification of their timing constraints, which can be a complex and error-prone process, using standard Hardware... | [] | Validation |
43,127 | 4 | Title: Backdoor Attacks for In-Context Learning with Language Models
Abstract: Because state-of-the-art language models are expensive to train, most practitioners must make use of one of the few publicly available language models or language model APIs. This consolidation of trust increases the potency of backdoor atta... | [
10749
] | Train |
43,128 | 16 | Title: MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
Abstract: Weakly-supervised semantic segmentation aims to reduce labeling costs by training semantic segmentation models using weak supervision, such as image-level class labels. However, most ap... | [] | Validation |
43,129 | 16 | Title: MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table
Abstract: Neural radiance field (NeRF) has shown remarkable performance in generating photo-realistic novel views. Among recent NeRF related research, the approaches that involve the utilization of explicit structures like grids to manage features achi... | [] | Train |
43,130 | 23 | Title: Program Comprehension Does Not Primarily Rely On the Language Centers of the Human Brain
Abstract: Our goal is to identify brain regions involved in comprehending computer programs. We use functional magnetic resonance imaging (fMRI) to investigate two candidate systems of brain regions which may support this --... | [] | Train |
43,131 | 16 | Title: Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View
Abstract: Multi-view 3D object detection (MV3D-Det) in Bird-Eye-View (BEV) has drawn extensive attention due to its low cost and high efficiency. Although new algorithms for camera-only 3D object detection have been continuously pr... | [
8906,
41730
] | Train |
43,132 | 30 | Title: Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations
Abstract: Automatic postediting (APE) is an automated process to refine a given machine translation (MT).Recent findings present that existing APE systems are not good at handling high-quality MTs even for a... | [] | Test |
43,133 | 24 | Title: Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Abstract: Generative, pre-trained transformers (GPTs, a.k.a."Foundation Models") have reshaped natural language processing (NLP) through their versatility in dive... | [
4945
] | Test |
43,134 | 4 | Title: Security Analysis of Pairing-based Cryptography
Abstract: Recent progress in number field sieve (NFS) has shaken the security of Pairing-based Cryptography. For the discrete logarithm problem (DLP) in finite field, we present the first systematic review of the NFS algorithms from three perspectives: the degree $... | [] | Validation |
43,135 | 4 | Title: A Security Verification Framework of Cryptographic Protocols Using Machine Learning
Abstract: We propose a security verification framework for cryptographic protocols using machine learning. In recent years, as cryptographic protocols have become more complex, research on automatic verification techniques has be... | [] | Train |
43,136 | 24 | Title: Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
Abstract: Manufacturing industries strive to improve production efficiency and product quality by deploying advanced sensing and control systems. Wearable sensors are emerging as a promising solution for achieving this goal, as they... | [] | Test |
43,137 | 16 | Title: Consistency-guided Prompt Learning for Vision-Language Models
Abstract: We propose Consistency-guided Prompt learning (CoPrompt), a new fine-tuning method for vision-language models that addresses the challenge of improving the generalization capability of large foundation models while fine-tuning them on downst... | [
6556,
41686
] | Train |
43,138 | 24 | Title: Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Abstract: Data with missing values is ubiquitous in many applications. Recent years have witnessed increasing attention on prediction with only incomplete data consisting of observed features and a mask that indicates the missing pattern. Exi... | [] | Train |
43,139 | 27 | Title: Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Abstract: Developing agents that can execute multiple skills by learning from pre-collected datasets is an important problem in robotics, where online interaction with the environment is extremely time-consuming. Moreover, manually de... | [
4810,
43965
] | Test |
43,140 | 31 | Title: Understanding the Impact of Culture in Assessing Helpfulness of Online Reviews
Abstract: Online reviews have become essential for users to make informed decisions in everyday tasks ranging from planning summer vacations to purchasing groceries and making financial investments. A key problem in using online revie... | [] | Test |
43,141 | 23 | Title: Characterizing The Impact of Culture on Agile Methods: The MoCA Model
Abstract: Agile methods are well-known approaches in software development and used in various settings, which may vary wrt. organizational size, culture, or industrial sector. One important facet for the successful use of agile methods is the ... | [] | Train |
43,142 | 4 | Title: Docmarking: Real-Time Screen-Cam Robust Document Image Watermarking
Abstract: This paper focuses on investigation of confidential documents leaks in the form of screen photographs. Proposed approach does not try to prevent leak in the first place but rather aims to determine source of the leak. Method works by a... | [] | Train |
43,143 | 16 | Title: Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
Abstract: In this paper, a discriminator-free adversarial-based Unsupervised Domain Adaptation (UDA) for Multi-Label Image Classification (MLIC) referred to as DDA-MLIC is proposed. Recently, some attempts have been made for i... | [
24695
] | Validation |
43,144 | 16 | Title: A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
Abstract: In machine learning, generative modeling aims to learn to generate new data statistically similar to the training data distribution. In this paper, we survey learning generative models under limited data, few shots and zero sho... | [
10624,
19995,
5278,
33567,
7586,
39340,
26030,
23364,
10062,
16463,
30928,
20949,
20831,
11745,
16737,
1123,
28642,
33766,
8814,
43248
] | Validation |
43,145 | 27 | Title: A Prototype System for High Frame Rate Ultrasound Imaging based Prosthetic Arm Control
Abstract: The creation of unique control methods for a hand prosthesis is still a problem that has to be addressed. The best choice of a human-machine interface (HMI) that should be used to enable natural control is still a ch... | [] | Train |
43,146 | 24 | Title: Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
Abstract: The generative AI revolution in recent years has been spurred by an expansion in compute power and data quantity, which together enable extensive pre-training of powerful text-to-image (T2I) models. With thei... | [
23771,
33757
] | Train |
43,147 | 30 | Title: Dynamic Causal Disentanglement Model for Dialogue Emotion Detection
Abstract: Emotion detection is a critical technology extensively employed in diverse fields. While the incorporation of commonsense knowledge has proven beneficial for existing emotion detection methods, dialogue-based emotion detection encounte... | [
9260
] | Train |
43,148 | 16 | Title: Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards
Abstract: Deep object detection models have achieved notable successes in recent years, but one major obstacle remains: the requirement for a large amount of training data. Obtaining such data is a tedious process and... | [] | Validation |
43,149 | 6 | Title: Walking Down the Road to Independent Mobility: An Adaptive Route Training System for the Cognitively Impaired
Abstract: In this paper we describe the design and development of a route training system for individuals with cognitive impairments (CIs) living in residential care facilities. Learning to move autonomo... | [] | Train |
43,150 | 24 | Title: Attention: Marginal Probability is All You Need?
Abstract: Attention mechanisms are a central property of cognitive systems allowing them to selectively deploy cognitive resources in a flexible manner. Attention has been long studied in the neurosciences and there are numerous phenomenological models that try to... | [] | Validation |
43,151 | 16 | Title: IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation
Abstract: This paper presents an inverse kinematic optimization layer (IKOL) for 3D human pose and shape estimation that leverages the strength of both optimization- and regression-based methods wi... | [] | Test |
43,152 | 6 | Title: Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI
Abstract: With recent advances in Generative AI, it is becoming easier to automatically manipulate 3D models. However, current methods tend to apply edits to models globally, which risks compromising the intende... | [
18720,
42666
] | Validation |
43,153 | 24 | Title: A Survey on Self-Supervised Representation Learning
Abstract: Learning meaningful representations is at the heart of many tasks in the field of modern machine learning. Recently, a lot of methods were introduced that allow learning of image representations without supervision. These representations can then be u... | [] | Validation |
43,154 | 3 | Title: YouNICon: YouTube's CommuNIty of Conspiracy Videos
Abstract: Conspiracy theories are widely propagated on social media. Among various social media services, YouTube is one of the most influential sources of news and entertainment. This paper seeks to develop a dataset, YOUNICON, to enable researchers to perform ... | [] | Train |
43,155 | 24 | Title: A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
Abstract: Unlike conventional grid and mesh based methods for solving partial differential equations (PDEs), neural networks have the potential to break the curse of dimensionality, providing approximate solutions to problems where ... | [] | Test |
43,156 | 28 | Title: On the Uplink Distributed Detection in UAV-enabled Aerial Cell-Free mMIMO Systems
Abstract: In this paper, we investigate the uplink signal detection approaches in the cell-free massive MIMO systems with unmanned aerial vehicles (UAVs) serving as aerial access points (APs). The ground users are equipped with mul... | [] | Train |
43,157 | 16 | Title: Can we predict the Most Replayed data of video streaming platforms?
Abstract: Predicting which specific parts of a video users will replay is important for several applications, including targeted advertisement placement on video platforms and assisting video creators. In this work, we explore whether it is poss... | [] | Train |
43,158 | 10 | Title: Identifying Relevant Features of CSE-CIC-IDS2018 Dataset for the Development of an Intrusion Detection System
Abstract: Intrusion detection systems (IDSs) are essential elements of IT systems. Their key component is a classification module that continuously evaluates some features of the network traffic and iden... | [] | Validation |
43,159 | 16 | Title: Transformer-Based Sensor Fusion for Autonomous Driving: A Survey
Abstract: Sensor fusion is an essential topic in many perception systems, such as autonomous driving and robotics. Transformers-based detection head and CNN-based feature encoder to extract features from raw sensor-data has emerged as one of the be... | [
16164,
23429,
3881,
44846,
5809,
46076,
8543
] | Train |
43,160 | 24 | Title: Active causal structure learning with advice
Abstract: We introduce the problem of active causal structure learning with advice. In the typical well-studied setting, the learning algorithm is given the essential graph for the observational distribution and is asked to recover the underlying causal directed acycl... | [] | Test |
43,161 | 27 | Title: Precise Object Sliding with Top Contact via Asymmetric Dual Limit Surfaces
Abstract: In this paper, we discuss the mechanics and planning algorithms to slide an object on a horizontal planar surface via frictional patch contact made with its top surface. Here, we propose an asymmetric dual limit surface model to... | [] | Train |
43,162 | 16 | Title: Learning Adaptive Neighborhoods for Graph Neural Networks
Abstract: Graph convolutional networks (GCNs) enable end-to-end learning on graph structured data. However, many works assume a given graph structure. When the input graph is noisy or unavailable, one approach is to construct or learn a latent graph struc... | [
44836
] | Validation |
43,163 | 1 | Title: Mulsemedia Communication Research Challenges for Metaverse in 6G Wireless Systems
Abstract: Although humans have five basic senses, sight, hearing, touch, smell, and taste, most multimedia systems in current systems only capture two of them, namely, sight and hearing. With the development of the metaverse and re... | [
26766
] | Train |
43,164 | 24 | Title: Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
Abstract: In recent years, Graph Neural Networks (GNNs) have been popular in the graph classification task. Currently, shallow GNNs are more common due to the well-known over-smoothing problem facing deeper GNNs. However, they ar... | [
40103
] | Train |
43,165 | 16 | Title: MonoHuman: Animatable Human Neural Field from Monocular Video
Abstract: Animating virtual avatars with free-view control is crucial for various applications like virtual reality and digital entertainment. Previous studies have attempted to utilize the representation power of the neural radiance field (NeRF) to r... | [
39340,
3438,
9846,
26326,
35991
] | Train |
43,166 | 24 | Title: Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation
Abstract: To achieve near-zero training error in a classification problem, the layers of a deep network have to disentangle the manifolds of data points with different labels, to facilitate the discrimination. Howe... | [] | Test |
43,167 | 24 | Title: Out-of-distribution detection using normalizing flows on the data manifold
Abstract: A common approach for out-of-distribution detection involves estimating an underlying data distribution, which assigns a lower likelihood value to out-of-distribution data. Normalizing flows are likelihood-based generative model... | [] | Train |
43,168 | 24 | Title: Unifying gradient regularization for Heterogeneous Graph Neural Networks
Abstract: Heterogeneous Graph Neural Networks (HGNNs) are a class of powerful deep learning methods widely used to learn representations of heterogeneous graphs. Despite the fast development of HGNNs, they still face some challenges such as... | [] | Train |
43,169 | 16 | Title: HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformer
Abstract: Vehicle-to-Vehicle technologies have enabled autonomous vehicles to share information to see through occlusions, greatly enhancing perception performance. Nevertheless, existing works all focused on homogeneous traff... | [
7416,
10265,
44574
] | Train |
43,170 | 24 | Title: Deep Equilibrium Models Meet Federated Learning
Abstract: In this study the problem of Federated Learning (FL) is explored under a new perspective by utilizing the Deep Equilibrium (DEQ) models instead of conventional deep learning networks. We claim that incorporating DEQ models into the federated learning fram... | [] | Train |
43,171 | 10 | Title: Curriculum Learning in Job Shop Scheduling using Reinforcement Learning
Abstract: Solving job shop scheduling problems (JSSPs) with a fixed strategy, such as a priority dispatching rule, may yield satisfactory results for several problem instances but, nevertheless, insufficient results for others. From this sin... | [] | Test |
43,172 | 24 | Title: Transfer learning for the efficient detection of COVID-19 from smartphone audio data
Abstract: nan | [] | Test |
43,173 | 16 | Title: Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental Learning
Abstract: Rehearsal-based video incremental learning often employs knowledge distillation to mitigate catastrophic forgetting of previously learned data. However, this method faces two major challenges for video... | [] | Train |
43,174 | 16 | Title: HateMM: A Multi-Modal Dataset for Hate Video Classification
Abstract: Hate speech has become one of the most significant issues in modern society, having implications in both the online and the offline world. Due to this, hate speech research has recently gained a lot of traction. However, most of the work has p... | [] | Train |
43,175 | 16 | Title: Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Abstract: Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received longstanding attention. In recent years, deep learning techniques have demons... | [] | Train |
43,176 | 4 | Title: ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger
Abstract: Textual backdoor attacks pose a practical threat to existing systems, as they can compromise the model by inserting imperceptible triggers into inputs and manipulating labels in the training dataset. With ... | [
38080,
34076,
4431
] | Train |
43,177 | 24 | Title: Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
Abstract: We consider the problem of learning models for risk-sensitive reinforcement learning. We theoretically demonstrate that proper value equivalence, a method of learning models which can be used to plan optimally in the risk-neutra... | [] | Train |
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