node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
20,778 | 28 | Title: Unified Modeling and Rate Coverage Analysis for Satellite-Terrestrial Integrated Networks: Coverage Extension or Data Offloading?
Abstract: With the growing interest in satellite networks, satellite-terrestrial integrated networks (STINs) have gained significant attention because of their potential benefits. How... | [
11845
] | Test |
20,779 | 8 | Title: Video traffic identification with novel feature extraction and selection method
Abstract: In recent years, the rapid rise of video applications has led to an explosion of Internet video traffic, thereby posing severe challenges to network management. Therefore, effectively identifying and managing video traffic ... | [] | Train |
20,780 | 24 | Title: DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Abstract: Meta learning recently has been heavily researched and helped advance the contemporary machine learning. However, achieving well-performing meta-learning model requires a large amount of training tasks with high-quality m... | [
15866
] | Validation |
20,781 | 4 | Title: PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information
Abstract: Graph data is used in a wide range of applications, while analyzing graph data without protection is prone to privacy breach risks. To mitigate the privacy risks, we resort to the standard technique of differen... | [
44912,
2466
] | Train |
20,782 | 16 | Title: SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation
Abstract: We present SSS3D, a fast multi-objective NAS framework designed to find computationally efficient 3D semantic scene segmentation networks. It uses RandLA-Net, an off-the-shelf point-based network, as a super-ne... | [] | Validation |
20,783 | 3 | Title: What Twitter Data Tell Us about the Future?
Abstract: Anticipation is a fundamental human cognitive ability that involves thinking about and living towards the future. While language markers reflect anticipatory thinking, research on anticipation from the perspective of natural language processing is limited. Th... | [] | Validation |
20,784 | 28 | Title: Timely Multi-Process Estimation Over Erasure Channels With and Without Feedback
Abstract: We consider a multi-process remote estimation system observing $K$ independent Ornstein-Uhlenbeck processes. In this system, a shared sensor samples the $K$ processes in such a way that the long-term average sum mean square... | [
6188
] | Validation |
20,785 | 16 | Title: Single-Stage Visual Query Localization in Egocentric Videos
Abstract: Visual Query Localization on long-form egocentric videos requires spatio-temporal search and localization of visually specified objects and is vital to build episodic memory systems. Prior work develops complex multi-stage pipelines that lever... | [
41400,
4643,
26484,
22222
] | Train |
20,786 | 30 | Title: Improving Multitask Retrieval by Promoting Task Specialization
Abstract: In multitask retrieval, a single retriever is trained to retrieve relevant contexts for multiple tasks. Despite its practical appeal, naive multitask retrieval lags behind task-specific retrieval in which a separate retriever is trained for... | [] | Train |
20,787 | 4 | Title: Don't Leak Your Keys: Understanding, Measuring, and Exploiting the AppSecret Leaks in Mini-Programs
Abstract: Mobile mini-programs in WeChat have gained significant popularity since their debut in 2017, reaching a scale similar to that of Android apps in the Play Store. Like Google, Tencent, the provider of WeCh... | [
38194,
42699,
40802
] | Train |
20,788 | 28 | Title: Energy-efficient Rate Splitting for MIMO STAR-RIS-assisted Broadcast Channels with I/Q Imbalance
Abstract: This paper proposes an energy-efficient scheme for multicell multiple-input, multiple-output (MIMO) simultaneous transmit and reflect (STAR) reconfigurable intelligent surfaces (RIS)-assisted broadcast chan... | [
44233,
20602,
23331,
2533
] | Train |
20,789 | 16 | Title: Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck
Abstract: In this research, we deal with the problem of visual question answering (VQA) in remote sensing. While remotely sensed images contain information significant for the task of identification and object ... | [] | Train |
20,790 | 24 | Title: Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach
Abstract: This study explores the potential of reinforcement learning algorithms to enhance career planning processes. Leveraging data from Randstad The Netherlands, the study simulates the Dutch job market and devel... | [] | Train |
20,791 | 24 | Title: QUANT: A Minimalist Interval Method for Time Series Classification
Abstract: We show that it is possible to achieve the same accuracy, on average, as the most accurate existing interval methods for time series classification on a standard set of benchmark datasets using a single type of feature (quantiles), fixe... | [
37584
] | Train |
20,792 | 16 | Title: Enhancing Mapless Trajectory Prediction through Knowledge Distillation
Abstract: Scene information plays a crucial role in trajectory forecasting systems for autonomous driving by providing semantic clues and constraints on potential future paths of traffic agents. Prevalent trajectory prediction techniques ofte... | [
40724
] | Train |
20,793 | 6 | Title: The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis
Abstract: The ability to synthesize information has emerged as a critical skill for success across various fields. However, within the field of education, there is a lack of systematic understanding and well-defi... | [] | Train |
20,794 | 30 | Title: Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Abstract: Large Language Models (LLMs) can achieve strong performance on many tasks by producing step-by-step reasoning before giving a final output, often referred to as chain-of-thought reasoning (CoT). It i... | [
8580,
6544,
8340,
8225,
26792,
37674,
40882,
17715,
18742,
45495,
17980,
37310,
46016,
14787,
32966,
15818,
15485,
19159,
19671,
35927,
28896,
27235,
20969,
16106,
31851,
34545,
24948,
38391,
21880,
18041,
13305
] | Train |
20,795 | 24 | Title: eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems
Abstract: Recent advancements in software and hardware technologies have enabled the use of AI/ML models in everyday applications has significantly improved the quality of service rendered. However, for a given application, finding the ri... | [] | Train |
20,796 | 10 | Title: Causal Inference for Banking Finance and Insurance A Survey
Abstract: Causal Inference plays an significant role in explaining the decisions taken by statistical models and artificial intelligence models. Of late, this field started attracting the attention of researchers and practitioners alike. This paper pres... | [
41385
] | Train |
20,797 | 30 | Title: Detoxify Language Model Step-by-Step
Abstract: Detoxification for LLMs is challenging since it requires models to avoid generating harmful content while maintaining the generation capability. To ensure the safety of generations, previous detoxification methods detoxify the models by changing the data distributio... | [
38083,
15301,
25320,
23502,
19472,
6353,
1906,
43641,
22518,
2776,
729,
26973,
12606
] | Train |
20,798 | 16 | Title: Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning
Abstract: In this paper, we propose a novel generative model-based attack on learnable image encryption methods proposed for privacy-preserving deep learning. Various learnable encryption methods have been studied to... | [
22206
] | Train |
20,799 | 30 | Title: SuryaKiran at MEDIQA-Sum 2023: Leveraging LoRA for Clinical Dialogue Summarization
Abstract: Finetuning Large Language Models helps improve the results for domain-specific use cases. End-to-end finetuning of large language models is time and resource intensive and has high storage requirements to store the finet... | [
44482,
11066,
17508
] | Test |
20,800 | 24 | Title: Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
Abstract: The ability to explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and prefer... | [] | Validation |
20,801 | 33 | Title: Shuffling posets on trajectories (technical report)
Abstract: Choreographies describe possible sequences of interactions among a set of agents. We aim to join two lines of research on choreographies: the use of the shuffle on trajectories operator to design more expressive choreographic languages, and the use of... | [] | Test |
20,802 | 30 | Title: Language Model Tokenizers Introduce Unfairness Between Languages
Abstract: Recent language models have shown impressive multilingual performance, even when not explicitly trained for it. Despite this, concerns have been raised about the quality of their outputs across different languages. In this paper, we show ... | [
514,
19083,
22832,
11929,
18777,
1789
] | Test |
20,803 | 22 | Title: Gradual Sensitivity Typing
Abstract: Reasoning about the sensitivity of functions with respect to their inputs has interesting applications in various areas, such as differential privacy. In order to check and enforce sensitivity, several approaches have been developed, notably sensitivity type systems. In these... | [] | Test |
20,804 | 16 | Title: Detection of Tomato Ripening Stages using Yolov3-tiny
Abstract: One of the most important agricultural products in Mexico is the tomato (Solanum lycopersicum), which occupies the 4th place national most produced product . Therefore, it is necessary to improve its production, building automatic detection system t... | [] | Test |
20,805 | 16 | Title: Low-Earth Satellite Orbit Determination Using Deep Convolutional Networks with Satellite Imagery
Abstract: It is increasingly common for satellites to lose connection with the ground stations on Earth with which they communicate, due to signal interruptions from the Earth's ionosphere and magnetosphere. Given th... | [] | Test |
20,806 | 5 | Title: Workload Failure Prediction for Data Centers
Abstract: Failed workloads that consumed significant computational resources in time and space affect the efficiency of data centers significantly and thus limit the amount of scientific work that can be achieved. While the computational power has increased significan... | [
24255
] | Train |
20,807 | 30 | Title: Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning
Abstract: nan | [] | Train |
20,808 | 16 | Title: Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h-1
Abstract: Site-specific weed control (SSWC) can provide considerable reductions in weed control costs and herbicide usage. Despite the promise of machine vision for SSWC systems and the impo... | [] | Validation |
20,809 | 24 | Title: SE(3) diffusion model with application to protein backbone generation
Abstract: The design of novel protein structures remains a challenge in protein engineering for applications across biomedicine and chemistry. In this line of work, a diffusion model over rigid bodies in 3D (referred to as frames) has shown su... | [
4418,
23810,
34000,
30738,
8308,
35541,
12830
] | Train |
20,810 | 24 | Title: Fixed Integral Neural Networks
Abstract: It is often useful to perform integration over learned functions represented by neural networks. However, this integration is usually performed numerically, as analytical integration over learned functions (especially neural networks) is generally viewed as intractable. I... | [] | Train |
20,811 | 10 | Title: Assumption Generation for the Verification of Learning-Enabled Autonomous Systems
Abstract: Providing safety guarantees for autonomous systems is difficult as these systems operate in complex environments that require the use of learning-enabled components, such as deep neural networks (DNNs) for visual percepti... | [
45600
] | Test |
20,812 | 27 | Title: A Novel Model for Driver Lane Change Prediction in Cooperatice Adaptive Cruise Control Systems
Abstract: Accurate lane change prediction can reduce potential accidents and contribute to higher road safety. Adaptive cruise control (ACC), lane departure avoidance (LDA), and lane keeping assistance (LKA) are some c... | [] | Validation |
20,813 | 27 | Title: ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters
Abstract: Motion retargeting is a promising approach for generating natural and compelling animations for nonhuman characters. However, it is challenging to translate human movements into semantica... | [] | Train |
20,814 | 16 | Title: Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention
Abstract: In this paper, we aim to learn a semantic radiance field from multiple scenes that is accurate, efficient and generalizable. While most existing NeRFs target at the tasks of neural scene rendering, image synthesis a... | [
3438
] | Validation |
20,815 | 2 | Title: Anticipating Accidents through Reasoned Simulation
Abstract: A key goal of the System-Theoretic Process Analysis (STPA) hazard analysis technique is the identification of loss scenarios – causal factors that could potentially lead to an accident. We propose an approach that aims to assist engineers in identifyin... | [] | Train |
20,816 | 16 | Title: POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
Abstract: Transformer architectures have achieved SOTA performance on the human mesh recovery (HMR) from monocular images. However, the performance gain has come at the cost of substantial memory and computational overhead. A lightweight and... | [
8554
] | Test |
20,817 | 33 | Title: Model Checking Strategies from Synthesis Over Finite Traces
Abstract: The innovations in reactive synthesis from {\em Linear Temporal Logics over finite traces} (LTLf) will be amplified by the ability to verify the correctness of the strategies generated by LTLf synthesis tools. This motivates our work on {\em L... | [
26701,
44686
] | Train |
20,818 | 24 | Title: Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes
Abstract: To gain a deeper understanding of the behavior and learning dynamics of (deep) artificial neural networks, it is valuable to employ mathematical abstractions and models. These tools provide a simplified pe... | [
714
] | Train |
20,819 | 3 | Title: Thinking beyond chatbots' threat to education: Visualizations to elucidate the writing and coding process
Abstract: The landscape of educational practices for teaching and learning languages has been predominantly centered around outcome-driven approaches. The recent accessibility of large language models has th... | [] | Train |
20,820 | 28 | Title: Fluid Antenna System: New Insights on Outage Probability and Diversity Gain
Abstract: To enable innovative applications and services, both industry and academia are exploring new technologies for sixth generation (6G) communications. One of the promising candidates is fluid antenna system (FAS). Unlike existing ... | [
1603,
24070,
39447
] | Train |
20,821 | 10 | Title: Using Large Language Models for Cybersecurity Capture-The-Flag Challenges and Certification Questions
Abstract: The assessment of cybersecurity Capture-The-Flag (CTF) exercises involves participants finding text strings or ``flags'' by exploiting system vulnerabilities. Large Language Models (LLMs) are natural-l... | [
10800,
25765,
14742,
14536
] | Train |
20,822 | 6 | Title: Embedding Democratic Values into Social Media AIs via Societal Objective Functions
Abstract: Can we design artificial intelligence (AI) systems that rank our social media feeds to consider democratic values such as mitigating partisan animosity as part of their objective functions? We introduce a method for tran... | [
21794,
12741,
27945,
846,
29072,
28369,
8853,
23477,
33051
] | Train |
20,823 | 6 | Title: Do Users Want Platform Moderation or Individual Control? Examining the Role of Third-Person Effects and Free Speech Support in Shaping Moderation Preferences
Abstract: This study examines social media users' preferences for the use of platform-wide moderation in comparison to user-controlled, personalized modera... | [
3712,
20651
] | Train |
20,824 | 16 | Title: Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip Strategy
Abstract: In this paper, we present an approach to image enhancement with diffusion model in underwater scenes. Our method adapts conditional denoising diffusion probabilistic models to generate the corr... | [] | Test |
20,825 | 24 | Title: Multifunctionality in a Connectome-Based Reservoir Computer
Abstract: Multifunctionality describes the capacity for a neural network to perform multiple mutually exclusive tasks without altering its network connections; and is an emerging area of interest in the reservoir computing machine learning paradigm. Mul... | [] | Validation |
20,826 | 31 | Title: EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments
Abstract: EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a multitude of deployment scenarios. Recommender syst... | [
8856,
1084
] | Train |
20,827 | 24 | Title: A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints
Abstract: In many applications of Reinforcement Learning (RL), it is critically important that the algorithm performs safely, such that instantaneous hard constraints are satisfied at each step, and unsafe states and ac... | [
38055
] | Validation |
20,828 | 37 | Title: No More Nulls!
Abstract: Since the inception of SQL, nulls have frustrated database users and builders alike. Those writing SQL must painstakingly guard their queries against surprising results caused by nulls, while those building database engines constantly struggle to implement the subtle semantics of 3-value... | [] | Train |
20,829 | 24 | Title: Efficient Real Time Recurrent Learning through combined activity and parameter sparsity
Abstract: Backpropagation through time (BPTT) is the standard algorithm for training recurrent neural networks (RNNs), which requires separate simulation phases for the forward and backward passes for inference and learning, ... | [] | Train |
20,830 | 16 | Title: Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective
Abstract: Coreset selection is among the most effective ways to reduce the training time of CNNs, however, only limited is known on how the resultant models will behave under variations of the coreset size, and choice of data... | [] | Train |
20,831 | 16 | Title: DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Abstract: Current perceptual similarity metrics operate at the level of pixels and patches. These metrics compare images in terms of their low-level colors and textures, but fail to capture mid-level similarities and differences in... | [
43144,
28532,
31949,
37070
] | Train |
20,832 | 30 | Title: Compositional Zero-Shot Domain Transfer with Text-to-Text Models
Abstract: Abstract Label scarcity is a bottleneck for improving task performance in specialized domains. We propose a novel compositional transfer learning framework (DoT51) for zero-shot domain transfer. Without access to in-domain labels, DoT5 jo... | [] | Train |
20,833 | 24 | Title: Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
Abstract: The limited priors required by neural networks make them the dominating choice to encode and learn policies using reinforcement learning (RL). However, they are also black-boxes, making it hard to understand the age... | [
38316
] | Test |
20,834 | 16 | Title: AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment
Abstract: The most common type of accident on the road is a rear-end crash. These crashes have a significant negative impact on traffic flow and are frequently fatal. To gain a more practical understandi... | [
15288,
33070,
29615
] | Validation |
20,835 | 27 | Title: Hyper-Drive: Visible-Short Wave Infrared Hyperspectral Imaging Datasets for Robots in Unstructured Environments
Abstract: Hyperspectral sensors have enjoyed widespread use in the realm of remote sensing; however, they must be adapted to a format in which they can be operated onboard mobile robots. In this work, ... | [
17932
] | Train |
20,836 | 24 | Title: Pretty Darn Good Control: When are Approximate Solutions Better than Approximate Models
Abstract: nan | [
28319
] | Train |
20,837 | 24 | Title: Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Abstract: We present a scalable and effective exploration strategy based on Thompson sampling for reinforcement learning (RL). One of the key shortcomings of existing Thompson sampling algorithms is the need to perfo... | [] | Train |
20,838 | 16 | Title: DeepMIM: Deep Supervision for Masked Image Modeling
Abstract: Deep supervision, which involves extra supervisions to the intermediate features of a neural network, was widely used in image classification in the early deep learning era since it significantly reduces the training difficulty and eases the optimizat... | [
28104,
8164
] | Train |
20,839 | 24 | Title: A Scalable Technique for Weak-Supervised Learning with Domain Constraints
Abstract: We propose a novel scalable end-to-end pipeline that uses symbolic domain knowledge as constraints for learning a neural network for classifying unlabeled data in a weak-supervised manner. Our approach is particularly well-suited... | [] | Validation |
20,840 | 25 | Title: Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection
Abstract: Self-supervised speech models are a rapidly developing research topic in fake audio detection. Many pre-trained models can serve as feature extractors, learning richer and higher-level speech features. However,when fine-tuning pre-train... | [] | Validation |
20,841 | 16 | Title: Picture that Sketch: Photorealistic Image Generation from Abstract Sketches
Abstract: Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this paper turns it into a photorealistic image – just like those shown in Fig. 1(a), all non-cherry-picked. We differ significantly from pri... | [
43261,
11686,
21446
] | Test |
20,842 | 13 | Title: Spiking Network Initialisation and Firing Rate Collapse
Abstract: In recent years, newly developed methods to train spiking neural networks (SNNs) have rendered them as a plausible alternative to Artificial Neural Networks (ANNs) in terms of accuracy, while at the same time being much more energy efficient at in... | [] | Validation |
20,843 | 24 | Title: Score-Based Multimodal Autoencoders
Abstract: Multimodal Variational Autoencoders (VAEs) represent a promising group of generative models that facilitate the construction of a tractable posterior within the latent space, given multiple modalities. Daunhawer et al. (2022) demonstrate that as the number of modalit... | [] | Validation |
20,844 | 31 | Title: FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation
Abstract: Since clicks usually contain heavy noise, increasing research efforts have been devoted to modeling implicit negative user behaviors (i.e., non-clicks). However, they either rely on explicit negative user behavior... | [
16001
] | Validation |
20,845 | 5 | Title: E2C: A Visual Simulator to Reinforce Education of Heterogeneous Computing Systems
Abstract: Heterogeneity has been an indispensable aspect of distributed computing throughout the history of these systems. ln particular, with the increasing popularity of accelerator technologies (eg., GPUs and TPUs) and the emerg... | [] | Train |
20,846 | 24 | Title: Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
Abstract: Increasing the success rate of a process, i.e. the percentage of cases that end in a positive outcome, is a recurrent process improvement goal. At runtime, there are often certain... | [
15544
] | Validation |
20,847 | 4 | Title: Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data
Abstract: The open data ecosystem is susceptible to vulnerabilities due to disclosure risks. Though the datasets are anonymized during release, the prevalence of the release-and-forget model makes the data defenders blind to pri... | [] | Test |
20,848 | 5 | Title: Morpheus unleashed: Fast cross-platform SpMV on emerging architectures
Abstract: Sparse matrices and linear algebra are at the heart of scientific simulations. Over the years, more than 70 sparse matrix storage formats have been developed, targeting a wide range of hardware architectures and matrix types, each o... | [
33337,
22014
] | Test |
20,849 | 24 | Title: Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing
Abstract: Feature generation aims to generate new and meaningful features to create a discriminative representation space.A generated feature is meaningful when the generated feature is from a featur... | [
8161
] | Train |
20,850 | 4 | Title: Cybersecurity of COSPAS-SARSAT and EPIRB: threat and attacker models, exploits, future research
Abstract: COSPAS-SARSAT is an International programme for"Search and Rescue"(SAR) missions based on the"Satellite Aided Tracking"system (SARSAT). It is designed to provide accurate, timely, and reliable distress alert... | [
33784
] | Validation |
20,851 | 15 | Title: fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs
Abstract: Surveillance systems, autonomous vehicles, human monitoring systems, and video retrieval are just few of the many applications in which 3D Convolutional Neural Networks are exploited. However, their extensive use is... | [
24788,
25631
] | Train |
20,852 | 17 | Title: ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Abstract: Personalizing generative models offers a way to guide image generation with user-provided references. Current personalization methods can invert an object or concept into the textual conditioning space and compo... | [
10788,
42149,
4766,
11820,
29389,
38579,
28532,
10070,
18586,
7390,
29087
] | Train |
20,853 | 30 | Title: An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation
Abstract: Consistency regularization methods, such as R-Drop (Liang et al., 2021) and CrossConST (Gao et al., 2023), have achieved impressive supervised and zero-shot performance in the neural machine translation (NMT) fie... | [
21872,
14481,
35763,
2438
] | Test |
20,854 | 24 | Title: CQnet: convex-geometric interpretation and constraining neural-network trajectories
Abstract: We introduce CQnet, a neural network with origins in the CQ algorithm for solving convex split-feasibility problems and forward-backward splitting. CQnet's trajectories are interpretable as particles that are tracking a... | [] | Train |
20,855 | 16 | Title: Audio-Visual Efficient Conformer for Robust Speech Recognition
Abstract: End-to-end Automatic Speech Recognition (ASR) systems based on neural networks have seen large improvements in recent years. The availability of large scale hand-labeled datasets and sufficient computing resources made it possible to train ... | [
11929
] | Test |
20,856 | 17 | Title: Deep Dynamic Cloud Lighting
Abstract: Sky illumination is a core source of lighting in rendering, and a substantial amount of work has been developed to simulate lighting from clear skies. However, in reality, clouds substantially alter the appearance of the sky and subsequently change the scene's illumination. ... | [
18848
] | Validation |
20,857 | 16 | Title: Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI
Abstract: Constructing structural brain networks using T1-weighted magnetic resonance imaging (T1-MRI) presents a significant challenge due to the lack of direct regional connectivity information. Current methods w... | [] | Train |
20,858 | 24 | Title: Semi-Supervised Approach for Early Stuck Sign Detection in Drilling Operations
Abstract: A real-time stuck pipe prediction methodology is proposed in this paper. We assume early signs of stuck pipe to be apparent when the drilling data behavior deviates from that from normal drilling operations. The definition o... | [] | Validation |
20,859 | 30 | Title: Word Grounded Graph Convolutional Network
Abstract: Graph Convolutional Networks (GCNs) have shown strong performance in learning text representations for various tasks such as text classification, due to its expressive power in modeling graph structure data (e.g., a literature citation network). Most existing G... | [] | Test |
20,860 | 4 | Title: Federated Online/Offline Remote Data Inspection for Distributed Edge Computing
Abstract: In edge computing environments, app vendors can cache their data to be shared with their users in many geographically distributed edge servers. However, the cached data is particularly vulnerable to several intentional attac... | [] | Validation |
20,861 | 16 | Title: Learning Distortion Invariant Representation for Image Restoration from a Causality Perspective
Abstract: In recent years, we have witnessed the great advancement of Deep neural networks (DNNs) in image restoration. However, a critical limitation is that they cannot generalize well to real-world degradations wit... | [
500,
486
] | Validation |
20,862 | 24 | Title: Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning
Abstract: The usability of Reinforcement Learning is restricted by the large computation times it requires. Curriculum Reinforcement Learning speeds up learning by defining a helpful order in which an agent encounters tasks, i... | [] | Train |
20,863 | 25 | Title: Better speech synthesis through scaling
Abstract: In recent years, the field of image generation has been revolutionized by the application of autoregressive transformers and DDPMs. These approaches model the process of image generation as a step-wise probabilistic processes and leverage large amounts of compute... | [] | Test |
20,864 | 4 | Title: Why Do Facial Deepfake Detectors Fail?
Abstract: Recent rapid advancements in deepfake technology have allowed the creation of highly realistic fake media, such as video, image, and audio. These materials pose significant challenges to human authentication, such as impersonation, misinformation, or even a threat... | [
9086
] | Train |
20,865 | 16 | Title: Camera Calibration without Camera Access - A Robust Validation Technique for Extended PnP Methods
Abstract: A challenge in image based metrology and forensics is intrinsic camera calibration when the used camera is unavailable. The unavailability raises two questions. The first question is how to find the projec... | [] | Test |
20,866 | 16 | Title: B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
Abstract: We present a new direction for increasing the interpretability of deep neural networks (DNNs) by promoting weight-input alignment during training. For this, we propose to replace the linear transformations in DNNs by our novel B-... | [] | Validation |
20,867 | 24 | Title: MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration
Abstract: This paper introduces a novel optimization framework for deep neural network (DNN) hardware accelerators, enabling the rapid development of customized and automated design flows. More specifically, our approach aims ... | [] | Test |
20,868 | 5 | Title: Efficient GPU Implementation of Affine Index Permutations on Arrays
Abstract: Optimal usage of the memory system is a key element of fast GPU algorithms. Unfortunately many common algorithms fail in this regard despite exhibiting great regularity in memory access patterns. In this paper we propose efficient kern... | [] | Train |
20,869 | 6 | Title: Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media
Abstract: Communicating science and technology is essential for the public to understand and engage in a rapidly changing world. Tweetorials are an emerging phenomenon where experts explain STEM topics on social media in creative and engag... | [] | Validation |
20,870 | 13 | Title: Dendritic Integration Based Quadratic Neural Networks Outperform Traditional Aritificial Ones
Abstract: Incorporating biological neuronal properties into Artificial Neural Networks (ANNs) to enhance computational capabilities poses a formidable challenge in the field of machine learning. Inspired by recent findi... | [] | Test |
20,871 | 16 | Title: LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images
Abstract: Histopathological images are the gold standard for diagnosing liver cancer. However, the accuracy of fully digital diagnosis in computational pathology needs to be improved. In this paper, in order to ... | [] | Train |
20,872 | 30 | Title: Contextual Biasing of Named-Entities with Large Language Models
Abstract: This paper studies contextual biasing with Large Language Models (LLMs), where during second-pass rescoring additional contextual information is provided to a LLM to boost Automatic Speech Recognition (ASR) performance. We propose to lever... | [
28674,
13700,
43641,
26331,
36637
] | Train |
20,873 | 30 | Title: MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models
Abstract: Pre-trained models (PM) have achieved promising results in content generation. However, the space for human creativity and imagination is endless, and it is still unclear whether the exi... | [
634,
26300
] | Test |
20,874 | 24 | Title: Kernel Support Vector Machine Classifiers with the 𝓁0-Norm Hinge Loss
Abstract: Support Vector Machine (SVM) has been one of the most successful machine learning techniques for binary classification problems. The key idea is to maximize the margin from the data to the hyperplane subject to correct classificatio... | [] | Train |
20,875 | 24 | Title: Compression with Bayesian Implicit Neural Representations
Abstract: Many common types of data can be represented as functions that map coordinates to signal values, such as pixel locations to RGB values in the case of an image. Based on this view, data can be compressed by overfitting a compact neural network to... | [] | Test |
20,876 | 27 | Title: A Kubernetes-Based Edge Architecture for Controlling the Trajectory of a Resource-Constrained Aerial Robot by Enabling Model Predictive Control
Abstract: In recent years, cloud and edge architectures have gained tremendous focus for offloading computationally heavy applications. From machine learning and Interne... | [] | Train |
20,877 | 25 | Title: Text-Driven Foley Sound Generation With Latent Diffusion Model
Abstract: Foley sound generation aims to synthesise the background sound for multimedia content. Previous models usually employ a large development set with labels as input (e.g., single numbers or one-hot vector). In this work, we propose a diffusio... | [
4481,
35786,
9971,
15628
] | Train |
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