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|---|---|---|---|---|
28,678 | 15 | Title: Machine Learning aided Computer Architecture Design for CNN Inferencing Systems
Abstract: Efficient and timely calculations of Machine Learning (ML) algorithms are essential for emerging technologies like autonomous driving, the Internet of Things (IoT), and edge computing. One of the primary ML algorithms used ... | [] | Test |
28,679 | 16 | Title: Learning to Recover Spectral Reflectance from RGB Images
Abstract: This paper tackles spectral reflectance recovery (SRR) from RGB images. Since capturing ground-truth spectral reflectance and camera spectral sensitivity are challenging and costly, most existing approaches are trained on synthetic images and uti... | [] | Validation |
28,680 | 2 | Title: nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models
Abstract: A rigorous formalization of desired system requirements is indispensable when performing any verification task. This often limits the application of verification techniques, as writing formal ... | [
33896,
23898,
5627
] | Test |
28,681 | 8 | Title: Energy-Efficient Softwarized Networks: A Survey
Abstract: With the dynamic demands and stringent requirements of various applications, networks need to be high-performance, scalable, and adaptive to changes. Researchers and industries view network softwarization as the best enabler for the evolution of networkin... | [] | Validation |
28,682 | 24 | Title: On-Manifold Projected Gradient Descent
Abstract: This work provides a computable, direct, and mathematically rigorous approximation to the differential geometry of class manifolds for high-dimensional data, along with nonlinear projections from input space onto these class manifolds. The tools are applied to the... | [] | Validation |
28,683 | 24 | Title: Analyzing Populations of Neural Networks via Dynamical Model Embedding
Abstract: A core challenge in the interpretation of deep neural networks is identifying commonalities between the underlying algorithms implemented by distinct networks trained for the same task. Motivated by this problem, we introduce DYNAMO... | [] | Train |
28,684 | 30 | Title: Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings
Abstract: Prior studies diagnose the anisotropy problem in sentence representations from pre-trained language models, e.g., BERT, without fine-tuning. Our analysis reveals that the sentence embeddings from BERT suffer from a bias towards uninf... | [] | Train |
28,685 | 10 | Title: Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models
Abstract: Developing effective Multi-Agent Systems (MAS) is critical for many applications requiring collaboration and coordination with humans. Despite the rapid advance of Multi-Agent Deep Reinforcement Learning (MADRL) in cooperativ... | [
45230
] | Train |
28,686 | 16 | Title: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection
Abstract: Today, state-of-the-art deep neural networks that process events first convert them into dense, grid-like input representations before using an off-the-shelf network. However, selecting the appropriate represent... | [
23280
] | Train |
28,687 | 30 | Title: Evaluating Open-Domain Question Answering in the Era of Large Language Models
Abstract: Lexical matching remains the de facto evaluation method for open-domain question answering (QA). Unfortunately, lexical matching fails completely when a plausible candidate answer does not appear in the list of gold answers, ... | [
41010,
33220,
10861
] | Validation |
28,688 | 6 | Title: 3D Printing and Design in Isolation: A Case from a Simulated Lunar Mission
Abstract: Despite the decades-long history of 3D printing, it is not used to its full potential. Yet 3D printing holds promise for isolated communities, aiming for self-sufficiency. In this experiential study conducted in an analog space ... | [] | Train |
28,689 | 24 | Title: ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms
Abstract: Backdoor data detection is traditionally studied in an end-to-end supervised learning (SL) setting. However, recent years have seen the proliferating adoption of self-supervised learning (SSL) and transfer learning (... | [
19370,
40388,
30956
] | Train |
28,690 | 36 | Title: Hidden-Role Games: Equilibrium Concepts and Computation
Abstract: In this paper, we study the class of games known as hidden-role games in which players get privately assigned a team and are faced with the challenge of recognizing and cooperating with teammates. This model includes both popular recreational game... | [
28390
] | Test |
28,691 | 24 | Title: Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Abstract: In this paper, we study distributionally robust offline reinforcement learning (robust offline RL), which seeks to find an optimal policy purely from an offli... | [
3106,
29926,
40489,
3093,
30807
] | Train |
28,692 | 30 | Title: DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations
Abstract: Applications that could benefit from automatic understanding of human-human conversations often come with challenges associated with private information in real-world data such as call center or ... | [
29206
] | Validation |
28,693 | 24 | Title: Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
Abstract: Graph convolutional networks (GCNs) have been attracting widespread attentions due to their encouraging performance and powerful generalizations. However, few work provide a general view to interpret variou... | [] | Test |
28,694 | 16 | Title: MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features
Abstract: In self-driving applications, LiDAR data provides accurate information about distances in 3D but lacks the semantic richness of camera data. Therefore, state-of-the-art methods for perception in urban scenes fuse data from both sensor ... | [] | Train |
28,695 | 16 | Title: A Novel end-to-end Framework for Occluded Pixel Reconstruction with Spatio-temporal Features for Improved Person Re-identification
Abstract: Person re-identification is vital for monitoring and tracking crowd movement to enhance public security. However, re-identification in the presence of occlusion substantial... | [
15758
] | Train |
28,696 | 28 | Title: Enhancing Data Storage Reliability and Error Correction in Multilevel NOR and NAND Flash Memories through Optimal Design of BCH Codes
Abstract: The size reduction of transistors in the latest flash memory generation has resulted in programming and data erasure issues within these designs. Consequently, ensuring ... | [
13787
] | Train |
28,697 | 24 | Title: Data Topology-Dependent Upper Bounds of Neural Network Widths
Abstract: This paper investigates the relationship between the universal approximation property of deep neural networks and topological characteristics of datasets. Our primary contribution is to introduce data topology-dependent upper bounds on the n... | [
25464,
21134,
25215
] | Train |
28,698 | 16 | Title: Spectral Batch Normalization: Normalization in the Frequency Domain
Abstract: Regularization is a set of techniques that are used to improve the generalization ability of deep neural networks. In this paper, we introduce spectral batch normalization (SBN), a novel effective method to improve generalization by no... | [] | Test |
28,699 | 24 | Title: Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices
Abstract: Recent research has shown that alignment between the structure of graph data and the geometry of an embedding space is crucial for learning high-quality representations of the data. The uniform geometry of ... | [] | Test |
28,700 | 24 | Title: Towards User Guided Actionable Recourse
Abstract: Machine Learning’s proliferation in critical fields such as healthcare, banking, and criminal justice has motivated the creation of tools which ensure trust and transparency in ML models. One such tool is Actionable Recourse (AR) for negatively impacted users. AR... | [] | Validation |
28,701 | 10 | Title: Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning
Abstract: Large-scale AI systems that combine search and learning have reached super-human levels of performance in game-playing, but have also been shown to fail in surprising ways. The brittleness of such models limits their efficacy an... | [] | Train |
28,702 | 30 | Title: San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variants
Abstract: In this work, we develop language models for the Sanskrit language, namely Bidirectional Encoder Representations from Transformers (BERT) and its variants: A Lite BERT (ALBERT), and Robustly Optimized BERT (RoBERTa) ... | [] | Train |
28,703 | 30 | Title: How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification
Abstract: To mitigate gender bias in contextualized language models, different intrinsic mitigation strategies have been proposed, alongside many bias metrics. Considering that the end use of these language models is for downstream ta... | [
13821
] | Train |
28,704 | 27 | Title: A Novel Multi-Layer Framework for BVLoS Drone Operation: A Preliminary Study
Abstract: Drones have become increasingly popular in a variety of fields, including agriculture, emergency response, and package delivery. However, most drone operations are currently limited to within Visual Line of Sight (VLoS) due to... | [] | Train |
28,705 | 27 | Title: Adaptive Safety-critical Control with Uncertainty Estimation for Human-robot Collaboration
Abstract: In advanced manufacturing, strict safety guarantees are required to allow humans and robots to work together in a shared workspace. One of the challenges in this application field is the variety and unpredictabil... | [
35817
] | Train |
28,706 | 33 | Title: Regular Methods for Operator Precedence Languages
Abstract: Given a Boolean formula $\phi$ over $n$ variables, the problem of model counting is to compute the number of solutions of $\phi$. Model counting is a fundamental problem in computer science with wide-ranging applications. Owing to the \#P-hardness of th... | [] | Test |
28,707 | 31 | Title: MTrainS: Improving DLRM training efficiency using heterogeneous memories
Abstract: Recommendation models are very large, requiring terabytes (TB) of memory during training. In pursuit of better quality, the model size and complexity grow over time, which requires additional training data to avoid overfitting. Th... | [] | Train |
28,708 | 24 | Title: Employing Explainable Artificial Intelligence (XAI) Methodologies to Analyze the Correlation between Input Variables and Tensile Strength in Additively Manufactured Samples
Abstract: This research paper explores the impact of various input parameters, including Infill percentage, Layer Height, Extrusion Temperat... | [
38791
] | Train |
28,709 | 24 | Title: TinyProp - Adaptive Sparse Backpropagation for Efficient TinyML On-device Learning
Abstract: Training deep neural networks using backpropagation is very memory and computationally intensive. This makes it difficult to run on-device learning or fine-tune neural networks on tiny, embedded devices such as low-power... | [] | Test |
28,710 | 30 | Title: ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese
Abstract: Social media processing is a fundamental task in natural language processing with numerous applications. As Vietnamese social media and information science have grown rapidly, the necessity of ... | [] | Train |
28,711 | 24 | Title: Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy
Abstract: This work proposes Fed-GLOSS-DP, a novel privacy-preserving approach for federated learning. Unlike previous linear point-wise gradient-sharing schemes, such as FedAvg, our formulation enables a type of... | [
11160
] | Train |
28,712 | 16 | Title: Flying Bird Object Detection Algorithm in Surveillance Video Based on Motion Information
Abstract: A Flying Bird Object Detection algorithm Based on Motion Information (FBOD-BMI) is proposed to solve the problem that the features of the object are not obvious in a single frame, and the size of the object is smal... | [] | Train |
28,713 | 28 | Title: Computational Spectral Imaging: A Contemporary Overview
Abstract: Spectral imaging collects and processes information along spatial and spectral coordinates quantified in discrete voxels, which can be treated as a 3D spectral data cube. The spectral images (SIs) allow the identification of objects, crops, and ma... | [
23149
] | Train |
28,714 | 16 | Title: AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation
Abstract: Both indoor and outdoor environments are inherently structured and repetitive. Traditional modeling pipelines keep an asset library storing unique object templates, which is both versatile and memory efficient in pract... | [
22639
] | Train |
28,715 | 16 | Title: Online Learning of Neural Surface Light Fields Alongside Real-Time Incremental 3D Reconstruction
Abstract: Immersive novel view generation is an important technology in the field of graphics and has recently also received attention for operator-based human-robot interaction. However, the involved training is tim... | [] | Train |
28,716 | 24 | Title: Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Abstract: A major challenge of reinforcement learning (RL) in real-world applications is the variation between environments, tasks or clients. Meta-RL (MRL) addresses this issue by learning a meta-policy that adapts to new tasks. Standard MRL methods opt... | [] | Validation |
28,717 | 27 | Title: DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects
Abstract: Recent research efforts have yielded significant advancements in manipulating objects under homogeneous settings where the robot is required to either manipulate rigid or deformable (soft) objects. However, the manipu... | [
39044
] | Test |
28,718 | 16 | Title: Deep learning universal crater detection using Segment Anything Model (SAM)
Abstract: Craters are amongst the most important morphological features in planetary exploration. To that extent, detecting, mapping and counting craters is a mainstream process in planetary science, done primarily manually, which is a v... | [
12704,
43692,
35263
] | Test |
28,719 | 16 | Title: MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
Abstract: Existing cross-domain keypoint detection methods always require accessing the source data during adaptation, which may violate the data privacy law and pose serious security concerns. Instead, this pap... | [
43608
] | Test |
28,720 | 13 | Title: Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression
Abstract: Many real-world systems can be described by mathematical models that are human-comprehensible, easy to analyze and help explain the system’s behavior. Symbolic regression is a method that can automati... | [
28812
] | Test |
28,721 | 11 | Title: Logic of Awareness in Agent's Reasoning
Abstract: The aim of this study is to formally express awareness for modeling practical agent communication. The notion of awareness has been proposed as a set of propositions for each agent, to which he/she pays attention, and has contributed to avoiding \textit{logical o... | [] | Train |
28,722 | 8 | Title: CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing
Abstract: Crowdsourcing data from connected and automated vehicles (CAVs) is a cost-efficient way to achieve high-definition maps with up-to-date transient road information. Achieving the map with deterministic latency performance is, ... | [] | Train |
28,723 | 4 | Title: FIDS: Fuzzy Intrusion Detection System for simultaneous detection of DoS/DDoS attacks in Cloud computing
Abstract: In recent times, I've encountered a principle known as cloud computing, a model that simplifies user access to data and computing power on a demand basis. The main objective of cloud computing is to... | [] | Train |
28,724 | 16 | Title: Image-Based Virtual Try-on System With Clothing-Size Adjustment
Abstract: The conventional image-based virtual try-on method cannot generate fitting images that correspond to the clothing size because the system cannot accurately reflect the body information of a person. In this study, an image-based virtual try... | [] | Train |
28,725 | 34 | Title: An overview of analysis methods and evaluation results for caching strategies
Abstract: nan | [] | Train |
28,726 | 28 | Title: Performance Analysis and Resource Allocation of STAR-RIS Aided Wireless-Powered NOMA System
Abstract: This paper proposes a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided wireless-powered non-orthogonal multiple access (NOMA) system, which includes an access point (A... | [
25198
] | Train |
28,727 | 16 | Title: Reinforcement Learning finetuned Vision-Code Transformer for UI-to-Code Generation
Abstract: Automated HTML/CSS code generation from screenshots is an important yet challenging problem with broad applications in website development and design. In this paper, we present a novel vision-code transformer approach th... | [] | Train |
28,728 | 34 | Title: Sublinear-Space Streaming Algorithms for Estimating Graph Parameters on Sparse Graphs
Abstract: In this paper, we design sub-linear space streaming algorithms for estimating three fundamental parameters -- maximum independent set, minimum dominating set and maximum matching -- on sparse graph classes, i.e., grap... | [] | Validation |
28,729 | 16 | Title: Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks
Abstract: Deep Neural Networks can be easily fooled by small and imperceptible perturbations. The query-based black-box attack (QBBA) is able to create the perturbations using model output probabilities of image queries requiring no a... | [
24083,
26845
] | Train |
28,730 | 30 | Title: LLM Calibration and Automatic Hallucination Detection via Pareto Optimal Self-supervision
Abstract: Large language models (LLMs) have demonstrated remarkable capabilities out of box for a wide range of applications, yet accuracy still remains a major growth area, especially in mission-critical domains such as bi... | [
40192,
13700,
38102
] | Train |
28,731 | 24 | Title: CapText: Large Language Model-based Caption Generation From Image Context and Description
Abstract: While deep-learning models have been shown to perform well on image-to-text datasets, it is difficult to use them in practice for captioning images. This is because captions traditionally tend to be context-depend... | [
37360
] | Train |
28,732 | 27 | Title: Maximum Correntropy Criterion Kalman Filter for Indoor Quadrotor Navigation under Intermittent Measurements
Abstract: We present a multisensor fusion framework for the onboard real-time navigation of a quadrotor in an indoor environment. The framework integrates sensor readings from an Inertial Measurement Unit ... | [] | Train |
28,733 | 16 | Title: Tucker Bilinear Attention Network for Multi-scale Remote Sensing Object Detection
Abstract: Object detection on VHR remote sensing images plays a vital role in applications such as urban planning, land resource management, and rescue missions. The large-scale variation of the remote-sensing targets is one of the... | [] | Train |
28,734 | 6 | Title: Going public: the role of public participation approaches in commercial AI labs
Abstract: In recent years, discussions of responsible AI practices have seen growing support for ‘participatory AI’ approaches, intended to involve members of the public in the design and development of AI systems. Prior research has... | [
22248,
30407,
17279
] | Train |
28,735 | 23 | Title: An Alternative to Cells for Selective Execution of Data Science Pipelines
Abstract: Data Scientists often use notebooks to develop Data Science (DS) pipelines, particularly since they allow to selectively execute parts of the pipeline. However, notebooks for DS have many well-known flaws. We focus on the followi... | [
45612
] | Train |
28,736 | 16 | Title: Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation
Abstract: In recent years, cross-modal domain adaptation has been studied on the paired 2D image and 3D LiDAR data to ease the labeling costs for 3D LiDAR semantic segmentation (3DLSS) in the target domain. However, in such a settin... | [] | Train |
28,737 | 16 | Title: A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery
Abstract: Semantic segmentation (classification) of Earth Observation imagery is a crucial task in remote sensing. This paper presents a comprehensive review of technical factors to con... | [] | Train |
28,738 | 24 | Title: Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks
Abstract: Neural Ordinary Differential Equations (NODEs) probed the usage of numerical solvers to solve the differential equation characterized by a Neural Network (NN), therefore initiating a new paradigm of deep learning models with... | [] | Train |
28,739 | 6 | Title: Design and Execution Challenges for Cybersecurity Serious Games: An Overview
Abstract: Serious games are increasingly being used in cybersecurity education to engage and educate users. Several studies with cybersecurity serious games have shown that they are successful in educating users and the users also find ... | [] | Test |
28,740 | 24 | Title: Scalable Multi-Agent Reinforcement Learning with General Utilities
Abstract: We study the scalable multi-agent reinforcement learning (MARL) with general utilities, defined as nonlinear functions of the team’s long-term state-action occupancy measure. The objective is to find a localized policy that maximizes th... | [
18116
] | Train |
28,741 | 30 | Title: Text classification dataset and analysis for Uzbek language
Abstract: Text classification is an important task in Natural Language Processing (NLP), where the goal is to categorize text data into predefined classes. In this study, we analyse the dataset creation steps and evaluation techniques of multi-label new... | [
36205
] | Train |
28,742 | 34 | Title: CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers
Abstract: This paper introduces the batch-parallel Compressed Packed Memory Array (CPMA), a compressed dynamic ordered batch-parallel set data structure based on the Packed Memory Array (PMA). Traditionally, batch-parallel sets are built on pointe... | [] | Train |
28,743 | 10 | Title: Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning
Abstract: A key challenge for a reinforcement learning (RL) agent is to incorporate external/expert1 advice in its learning. The desired goals of an algorithm that can shape the learning of an RL agent with... | [] | Train |
28,744 | 30 | Title: Transferring Procedural Knowledge across Commonsense Tasks
Abstract: Stories about everyday situations are an essential part of human communication, motivating the need to develop AI agents that can reliably understand these stories. Despite the long list of supervised methods for story completion and procedural... | [
22572,
30870
] | Train |
28,745 | 34 | Title: Shortest Dominating Set Reconfiguration under Token Sliding
Abstract: In this paper, we present novel algorithms that efficiently compute a shortest reconfiguration sequence between two given dominating sets in trees and interval graphs under the Token Sliding model. In this problem, a graph is provided along wi... | [] | Train |
28,746 | 24 | Title: A Neural Lambda Calculus: Neurosymbolic AI meets the foundations of computing and functional programming
Abstract: Over the last decades, deep neural networks based-models became the dominant paradigm in machine learning. Further, the use of artificial neural networks in symbolic learning has been seen as increa... | [] | Train |
28,747 | 4 | Title: Your Email Address Holds the Key: Understanding the Connection Between Email and Password Security with Deep Learning
Abstract: In this work, we investigate the effectiveness of deep-learning-based password guessing models for targeted attacks on human-chosen passwords. In recent years, service providers have in... | [] | Train |
28,748 | 25 | Title: ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
Abstract: ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitated by the broadening interests of the spoken language translation community. ESPnet-ST-v2 supports 1) offline speech-to-text translation (ST), 2) simultaneous speech-to... | [] | Test |
28,749 | 24 | Title: Federated Linear Bandit Learning via Over-the-Air Computation
Abstract: In this paper, we investigate federated contextual linear bandit learning within a wireless system that comprises a server and multiple devices. Each device interacts with the environment, selects an action based on the received reward, and ... | [
29132
] | Train |
28,750 | 29 | Title: Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version
Abstract: Quantization is a popular technique used in Deep Neural Networks (DNN) inference to reduce the size of models and improve the overall numerical performance by exploiting native hardware. This paper at... | [] | Validation |
28,751 | 30 | Title: Tree-Based Representation and Generation of Natural and Mathematical Language
Abstract: Mathematical language in scientific communications and educational scenarios is important yet relatively understudied compared to natural languages. Recent works on mathematical language focus either on representing stand-alo... | [
634,
1546,
33231
] | Validation |
28,752 | 30 | Title: Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
Abstract: The limits of open-ended generative models are unclear, yet increasingly important. What causes them to succeed and what causes them to fail? In this paper, we take a prompt-centric approach to analyzing ... | [
41499,
29604,
10981
] | Train |
28,753 | 27 | Title: Region Prediction for Efficient Robot Localization on Large Maps
Abstract: Recognizing already explored places (a.k.a. place recognition) is a fundamental task in Simultaneous Localization and Mapping (SLAM) to enable robot relocalization and loop closure detection. In topological SLAM the recognition takes plac... | [] | Test |
28,754 | 5 | Title: Local Certification of Majority Dynamics
Abstract: In majority voting dynamics, a group of $n$ agents in a social network are asked for their preferred candidate in a future election between two possible choices. At each time step, a new poll is taken, and each agent adjusts their vote according to the majority ... | [
29666
] | Validation |
28,755 | 24 | Title: From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
Abstract: Many real-world datasets have an underlying dynamic graph structure, where entities and their interactions evolve over time. Machine learning models should consider these dynamics in order to ha... | [] | Test |
28,756 | 11 | Title: Heterogeneous Beliefs and Multi-Population Learning in Network Games
Abstract: The effect of population heterogeneity in multi-agent learning is practically relevant but remains far from being well-understood. Motivated by this, we introduce a model of multi-population learning that allows for heterogeneous belie... | [] | Train |
28,757 | 30 | Title: Summarizing Indian Languages using Multilingual Transformers based Models
Abstract: With the advent of multilingual models like mBART, mT5, IndicBART etc., summarization in low resource Indian languages is getting a lot of attention now a days. But still the number of datasets is low in number. In this work, we ... | [
24524
] | Validation |
28,758 | 8 | Title: Performance Evaluation of a New Scheduling Model Using Congestion Window Reservation
Abstract: Multipath QUIC is a transport protocol that allows for the use of multiple network interfaces for a single connection. It thereby offers, on the one hand, the possibility to gather a higher throughput, while, on the ot... | [] | Test |
28,759 | 30 | Title: Transformer-based Joint Source Channel Coding for Textual Semantic Communication
Abstract: The Space-Air-Ground-Sea integrated network calls for more robust and secure transmission techniques against jamming. In this paper, we propose a textual semantic transmission framework for robust transmission, which utili... | [] | Test |
28,760 | 30 | Title: STOAT: Structured Data to Analytical Text With Controls
Abstract: Recent language models have made tremendous progress in the structured data to text generation task. However, these models still give sub-optimal performance where logical inference is required to generate the descriptions. In this work, we specif... | [] | Train |
28,761 | 24 | Title: Variance Control for Distributional Reinforcement Learning
Abstract: Although distributional reinforcement learning (DRL) has been widely examined in the past few years, very few studies investigate the validity of the obtained Q-function estimator in the distributional setting. To fully understand how the appro... | [
8480,
12089
] | Validation |
28,762 | 24 | Title: Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input
Abstract: Data-driven, neural network (NN) based anomaly detection and predictive maintenance are emerging research areas. NN-based analytics of time-series data offer valuable insights i... | [] | Validation |
28,763 | 16 | Title: RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
Abstract: The current interacting hand (IH) datasets are relatively simplistic in terms of background and texture, with hand joints being annotated by a machine annotator, which may result in inaccuracies, and the diversity of pose... | [] | Validation |
28,764 | 6 | Title: CA2: Cyber Attacks Analytics
Abstract: The VAST Challenge 2020 Mini-Challenge 1 requires participants to identify the responsible white hat groups behind a fictional Internet outage. To address this task, we have created a visual analytics system named CA2: Cyber Attacks Analytics. This system is designed to eff... | [] | Validation |
28,765 | 16 | Title: Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA
Abstract: Perception and control systems for autonomous vehicles are an active area of scientific and industrial research. These solutions should be characterised by high efficiency in recognising obs... | [] | Train |
28,766 | 8 | Title: An Adaptive Hybrid Channel Reservation Medium Access Control Protocol for Differentiated QoS
Abstract: In a densely deployed distributed wireless network, there may be various types of traffic with differentiated Quality of Service (QoS) requirements. However, when the network is heavily loaded, the collision in... | [
39527
] | Train |
28,767 | 16 | Title: How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model
Abstract: Energy-based models parameterize the unnormalized log-probability of data samples, but there is a lack of guidance on how to construct the"energy". In this paper, we propose a Denoising-EBM which decomposes the image en... | [] | Train |
28,768 | 16 | Title: Clustering of illustrations by atmosphere using a combination of supervised and unsupervised learning
Abstract: The distribution of illustrations on social media, such as Twitter and Pixiv has increased with the growing popularity of animation, games, and animated movies. The"atmosphere"of illustrations plays an... | [] | Validation |
28,769 | 24 | Title: On the Unlikelihood of D-Separation
Abstract: Causal discovery aims to recover a causal graph from data generated by it; constraint based methods do so by searching for a d-separating conditioning set of nodes in the graph via an oracle. In this paper, we provide analytic evidence that on large graphs, d-separat... | [] | Train |
28,770 | 24 | Title: Ideal Abstractions for Decision-Focused Learning
Abstract: We present a methodology for formulating simplifying abstractions in machine learning systems by identifying and harnessing the utility structure of decisions. Machine learning tasks commonly involve high-dimensional output spaces (e.g., predictions for ... | [] | Train |
28,771 | 30 | Title: Universal Automatic Phonetic Transcription into the International Phonetic Alphabet
Abstract: This paper presents a state-of-the-art model for transcribing speech in any language into the International Phonetic Alphabet (IPA). Transcription of spoken languages into IPA is an essential yet time-consuming process ... | [
37177
] | Train |
28,772 | 16 | Title: NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Framework
Abstract: We present NNVISR - an open-source filter plugin for the VapourSynth video processing framework, which facilitates the application of neural networks for various kinds of video enhancing tasks, includi... | [] | Train |
28,773 | 26 | Title: Deliberative Democracy, Perspective from Indo-Pacific Blogosphere: A Survey
Abstract: Deliberation and communication within the national space have had numerous implications on how citizens online and offline perceive government. It has also impacted the relationship between opposition and incumbent governments ... | [] | Train |
28,774 | 28 | Title: On correlation distribution of Niho-type decimation $d=3(p^m-1)+1$
Abstract: The cross-correlation problem is a classic problem in sequence design. In this paper we compute the cross-correlation distribution of the Niho-type decimation $d=3(p^m-1)+1$ over $\mathrm{GF}(p^{2m})$ for any prime $p \ge 5$. Previously... | [] | Validation |
28,775 | 30 | Title: SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning
Abstract: This study presents a thorough examination of various Generative Pretrained Transformer (GPT) methodologies in sentiment analysis, specifically in the context of Task 4 on the SemEval 2017 datas... | [
16489,
27340,
22476,
6604,
43566
] | Test |
28,776 | 6 | Title: Toward Pioneering Sensors and Features Using Large Language Models in Human Activity Recognition
Abstract: In this paper, we propose a feature pioneering method using Large Language Models (LLMs). In the proposed method, we use Chat-GPT 1 to find new sensor locations and new features. Then we evaluate the machin... | [
18411,
43566
] | Validation |
28,777 | 16 | Title: Scattering-induced entropy boost for highly-compressed optical sensing and encryption
Abstract: Image classification often relies on a high-quality machine vision system with a large view field and high resolution, demanding fine imaging optics, heavy computational costs, and large communication bandwidths betwe... | [] | Test |
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