node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
35,978 | 24 | Title: CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
Abstract: The Variational Autoencoder (VAE) is known to suffer from the phenomenon of \textit{posterior collapse}, where the latent representations generated by the model become independent of the inputs. This leads ... | [] | Train |
35,979 | 16 | Title: Towards Diverse Binary Segmentation via A Simple yet General Gated Network
Abstract: In many binary segmentation tasks, most CNNs-based methods use a U-shape encoder-decoder network as their basic structure. They ignore two key problems when the encoder exchanges information with the decoder: one is the lack of ... | [
33098,
15957
] | Test |
35,980 | 16 | Title: MobileInst: Video Instance Segmentation on the Mobile
Abstract: Although recent approaches aiming for video instance segmentation have achieved promising results, it is still difficult to employ those approaches for real-world applications on mobile devices, which mainly suffer from (1) heavy computation and mem... | [
22654,
5143
] | Train |
35,981 | 24 | Title: Robust Path Following on Rivers Using Bootstrapped Reinforcement Learning
Abstract: This paper develops a Deep Reinforcement Learning (DRL)-agent for navigation and control of autonomous surface vessels (ASV) on inland waterways. Spatial restrictions due to waterway geometry and the resulting challenges, such as... | [] | Train |
35,982 | 16 | Title: Boosting Semi-Supervised Few-Shot Object Detection with SoftER Teacher
Abstract: Few-shot object detection (FSOD) is an emerging problem aimed at detecting novel concepts from few exemplars. Existing approaches to FSOD assume abundant base labels to adapt to novel objects. This paper studies the task of semi-sup... | [] | Train |
35,983 | 24 | Title: Towards Compute-Optimal Transfer Learning
Abstract: The field of transfer learning is undergoing a significant shift with the introduction of large pretrained models which have demonstrated strong adaptability to a variety of downstream tasks. However, the high computational and memory requirements to finetune o... | [
12851
] | Test |
35,984 | 28 | Title: Learning-Based Rich Feedback HARQ for Energy-Efficient Short Packet Transmission
Abstract: The trade-off between reliability, latency, and energy-efficiency is a central problem in communication systems. Advanced hybrid automated repeat request (HARQ) techniques can reduce the number of retransmissions required ... | [
661
] | Train |
35,985 | 4 | Title: A Testbed To Study Adversarial Cyber-Attack Strategies in Enterprise Networks
Abstract: In this work, we propose a testbed environment to capture the attack strategies of an adversary carrying out a cyber-attack on an enterprise network. The testbed contains nodes with known security vulnerabilities which can be... | [] | Train |
35,986 | 16 | Title: InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
Abstract: Generalizing Neural Radiance Fields (NeRF) to new scenes is a significant challenge that existing approaches struggle to address without extensive modifications to vanilla NeRF framework. We introduce InsertNeRF, a method for INSti... | [
25383,
29000,
4204,
27791,
20980,
22362,
39643
] | Test |
35,987 | 10 | Title: On the Foundations of Cycles in Bayesian Networks
Abstract: nan | [
4178
] | Validation |
35,988 | 34 | Title: Noisy k-means++ Revisited
Abstract: The $k$-means++ algorithm by Arthur and Vassilvitskii [SODA 2007] is a classical and time-tested algorithm for the $k$-means problem. While being very practical, the algorithm also has good theoretical guarantees: its solution is $O(\log k)$-approximate, in expectation. In a r... | [] | Train |
35,989 | 16 | Title: Towards Pragmatic Semantic Image Synthesis for Urban Scenes
Abstract: The need for large amounts of training and validation data is a huge concern in scaling AI algorithms for autonomous driving. Semantic Image Synthesis (SIS), or label-to-image translation, promises to address this issue by translating semantic... | [
30625,
32146
] | Train |
35,990 | 24 | Title: A Federated Learning Benchmark for Drug-Target Interaction
Abstract: Aggregating pharmaceutical data in the drug-target interaction (DTI) domain can potentially deliver life-saving breakthroughs. It is, however, notoriously difficult due to regulatory constraints and commercial interests [5, 18]. This work propo... | [] | Test |
35,991 | 16 | Title: Pose Modulated Avatars from Video
Abstract: It is now possible to reconstruct dynamic human motion and shape from a sparse set of cameras using Neural Radiance Fields (NeRF) driven by an underlying skeleton. However, a challenge remains to model the deformation of cloth and skin in relation to skeleton pose. Unl... | [
28912,
3747,
9565,
43165
] | Validation |
35,992 | 24 | Title: Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL
Abstract: Discrete reinforcement learning (RL) algorithms have demonstrated exceptional performance in solving sequential decision tasks with discrete action spaces, such as Atari games. However, their effectiveness... | [] | Train |
35,993 | 16 | Title: Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models
Abstract: Data-driven and controllable human motion synthesis and prediction are active research areas with various applications in interactive media and social robotics. Challenges remain in these fields for generating diverse... | [] | Validation |
35,994 | 6 | Title: Enhancing Older Adults’ Gesture Typing Experience Using the T9 Keyboard on Small Touchscreen Devices
Abstract: Older adults increasingly adopt small-screen devices, but limited motor dexterity hinders their ability to type effectively. While a 9-key (T9) keyboard allocates larger space to each key, it is shared ... | [] | Validation |
35,995 | 5 | Title: Distributed Deep Multilevel Graph Partitioning
Abstract: We describe the engineering of the distributed-memory multilevel graph partitioner dKaMinPar. It scales to (at least) 8192 cores while achieving partitioning quality comparable to widely used sequential and shared-memory graph partitioners. In comparison, ... | [
36170
] | Validation |
35,996 | 24 | Title: Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace
Abstract: To explain"black-box"properties of AI models, many approaches, such as post hoc and intrinsically interpretable models, have been proposed to provide plausible explana... | [
30857,
12300
] | Test |
35,997 | 24 | Title: ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Abstract: Recent years have witnessed the growing popularity of domain-specific accelerators (DSAs), such as Google's TPUs, for accelerating various applications such as deep learning, search, autonomous driving, etc. To ... | [
240,
6124
] | Test |
35,998 | 4 | Title: Harnessing the Power of Decision Trees to Detect IoT Malware
Abstract: : Due to its simple installation and connectivity, the Internet of Things (IoT) is susceptible to malware attacks. Being able to operate autonomously. As IoT devices have become more prevalent, they have become the most tempting targets for m... | [] | Train |
35,999 | 34 | Title: Algorithms for Computing Maximum Cliques in Hyperbolic Random Graphs
Abstract: In this paper, we study the maximum clique problem on hyperbolic random graphs. A hyperbolic random graph is a mathematical model for analyzing scale-free networks since it effectively explains the power-law degree distribution of sca... | [
25242
] | Train |
36,000 | 24 | Title: Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
Abstract: We investigate the problem of machine learning-based (ML) predictive inference on individual treatment effects (ITEs). Previous work has focused primarily on developing ML-based meta-learners that can provide point estimat... | [] | Validation |
36,001 | 16 | Title: 2D Floor Plan Segmentation Based on Down-sampling
Abstract: In recent years, floor plan segmentation has gained significant attention due to its wide range of applications in floor plan reconstruction and robotics. In this paper, we propose a novel 2D floor plan segmentation technique based on a down-sampling ap... | [] | Test |
36,002 | 9 | Title: Complexity of Reachability Problems in Neural Networks
Abstract: In this paper we investigate formal verification problems for Neural Network computations. Various reachability problems will be in the focus, such as: Given symbolic specifications of allowed inputs and outputs in form of Linear Programming instan... | [
19332
] | Validation |
36,003 | 24 | Title: Automatic Roof Type Classification Through Machine Learning for Regional Wind Risk Assessment
Abstract: Roof type is one of the most critical building characteristics for wind vulnerability modeling. It is also the most frequently missing building feature from publicly available databases. An automatic roof clas... | [] | Train |
36,004 | 16 | Title: Improving 2D face recognition via fine-level facial depth generation and RGB-D complementary feature learning
Abstract: Face recognition in complex scenes suffers severe challenges coming from perturbations such as pose deformation, ill illumination, partial occlusion. Some methods utilize depth estimation to ob... | [] | Train |
36,005 | 24 | Title: Variational Prediction
Abstract: Bayesian inference offers benefits over maximum likelihood, but it also comes with computational costs. Computing the posterior is typically intractable, as is marginalizing that posterior to form the posterior predictive distribution. In this paper, we present variational predic... | [] | Train |
36,006 | 31 | Title: Generative Flow Network for Listwise Recommendation
Abstract: Personalized recommender systems fulfill the daily demands of customers and boost online businesses. The goal is to learn a policy that can generate a list of items that matches the user's demand or interest. While most existing methods learn a pointw... | [
25888,
43749,
14359
] | Train |
36,007 | 16 | Title: An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees
Abstract: In this paper, we propose a novel methodology for addressing the hyperspectral image deconvolution problem. This problem is highly ill-posed, and thus, requires proper priors (regularizers) to... | [] | Train |
36,008 | 16 | Title: GoalieNet: A Multi-Stage Network for Joint Goalie, Equipment, and Net Pose Estimation in Ice Hockey
Abstract: In the field of computer vision-driven ice hockey analytics, one of the most challenging and least studied tasks is goalie pose estimation. Unlike general human pose estimation, goalie pose estimation is... | [] | Train |
36,009 | 30 | Title: Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
Abstract: This paper studies a new task of federated learning (FL) for semantic parsing, where multiple clients collaboratively train one global model without sharing their semantic parsing data. By leveraging data from m... | [] | Train |
36,010 | 3 | Title: Reddit in the Time of COVID
Abstract: When the COVID-19 pandemic hit, much of life moved online. Platforms of all types reported surges of activity, and people remarked on the various important functions that online platforms suddenly fulfilled. However, researchers lack a rigorous understanding of the pandemic'... | [] | Train |
36,011 | 30 | Title: An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features
Abstract: Capturing readers’ engagement in fiction is a challenging but important aspect of narrative understanding. In this study, we collected 23 readers’ reactions to 2 short stories through eye tracking, sentenc... | [] | Train |
36,012 | 23 | Title: Casual Source Code Editing
Abstract: There has been substantial research undertaken on the role of computational systems that encourage autotelic creativity. Previous studies on the role of software in autotelic creativity have not explored code editing tools in much detail. This study sets out to examine the ro... | [
28297
] | Train |
36,013 | 16 | Title: Deep Learning for Video-based Person Re-Identification: A Survey
Abstract: Video-based person re-identification (video re-ID) has lately fascinated growing attention due to its broad practical applications in various areas, such as surveillance, smart city, and public safety. Nevertheless, video re-ID is quite d... | [] | Train |
36,014 | 28 | Title: Codes Over Absorption Channels
Abstract: In this paper, we present a novel communication channel, called the absorption channel, inspired by information transmission in neurons. Our motivation comes from invivo nano-machines, emerging medical applications, and brain-machine interfaces that communicate over the n... | [] | Test |
36,015 | 31 | Title: Concentrating on the Impact: Consequence-based Explanations in Recommender Systems
Abstract: Recommender systems assist users in decision-making, where the presentation of recommended items and their explanations are critical factors for enhancing the overall user experience. Although various methods for generat... | [] | Validation |
36,016 | 16 | Title: FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table
Abstract: Low-Light Video Enhancement (LLVE) has received considerable attention in recent years. One of the critical requirements of LLVE is inter-frame brightness consistency, which is essential for maintaining the temporal coher... | [] | Test |
36,017 | 6 | Title: Probabilistic Formal Modelling to Uncover and Interpret Interaction Styles
Abstract: We present a study using new computational methods, based on a novel combination of machine learning for inferring admixture hidden Markov models and probabilistic model checking, to uncover interaction styles in a mobile app. T... | [] | Train |
36,018 | 24 | Title: Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection
Abstract: Exfiltration of data via email is a serious cybersecurity threat for many organizations. Detecting data exfiltration (anomaly) patterns typically requires labeli... | [] | Test |
36,019 | 11 | Title: Differential Privacy in Cooperative Multiagent Planning
Abstract: Privacy-aware multiagent systems must protect agents' sensitive data while simultaneously ensuring that agents accomplish their shared objectives. Towards this goal, we propose a framework to privatize inter-agent communications in cooperative mul... | [] | Test |
36,020 | 24 | Title: On the Importance of Contrastive Loss in Multimodal Learning
Abstract: Recently, contrastive learning approaches (e.g., CLIP (Radford et al., 2021)) have received huge success in multimodal learning, where the model tries to minimize the distance between the representations of different views (e.g., image and it... | [] | Test |
36,021 | 4 | Title: Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping
Abstract: Homomorphic encryption (HE) enables computations on encrypted data by concealing information under noise for security. However, the process of bootstrapping, w... | [
35369
] | Train |
36,022 | 24 | Title: Exploring Model Dynamics for Accumulative Poisoning Discovery
Abstract: Adversarial poisoning attacks pose huge threats to various machine learning applications. Especially, the recent accumulative poisoning attacks show that it is possible to achieve irreparable harm on models via a sequence of imperceptible at... | [] | Train |
36,023 | 16 | Title: The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Abstract: This paper introduces the novel concept of few-shot weakly supervised learning for pathology Whole Slide Image (WSI) classification, denoted as FSWC. A solution is p... | [
33220,
7183
] | Test |
36,024 | 24 | Title: Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms
Abstract: Inference efforts -- required to compute partition function, $Z$, of an Ising model over a graph of $N$ ``spins"-- are most likely exponential in $N$. Efficient variational met... | [] | Train |
36,025 | 23 | Title: LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation
Abstract: There has been a recent explosion of research on Large Language Models (LLMs) for software engineering tasks, in particular code generation. However, results from LLMs can be highly unstable; nondeterministically returni... | [
39873,
13510,
11273,
18960,
19315,
44246,
38235,
35580
] | Train |
36,026 | 24 | Title: TriSig: Assessing the statistical significance of triclusters
Abstract: Tensor data analysis allows researchers to uncover novel patterns and relationships that cannot be obtained from matrix data alone. The information inferred from the patterns provides valuable insights into disease progression, bioproduction... | [] | Train |
36,027 | 30 | Title: WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset
Abstract: A fundamental challenge in the current NLP context, dominated by language models, comes from the inflexibility of current architectures to 'learn' new information. While model-centric solutions like continual learning or parameter-efficie... | [
39642,
20775
] | Validation |
36,028 | 30 | Title: Linguistic representations for fewer-shot relation extraction across domains
Abstract: Recent work has demonstrated the positive impact of incorporating linguistic representations as additional context and scaffolds on the in-domain performance of several NLP tasks. We extend this work by exploring the impact of... | [] | Train |
36,029 | 23 | Title: Tales from the Git: Automating the detection of secrets on code and assessing developers’ passwords choices
Abstract: Typical users are known to use and reuse weak passwords. Yet, as cybersecurity concerns continue to rise, understanding the password practices of software developers becomes increasingly importan... | [] | Train |
36,030 | 16 | Title: Interactive Segment Anything NeRF with Feature Imitation
Abstract: This paper investigates the potential of enhancing Neural Radiance Fields (NeRF) with semantics to expand their applications. Although NeRF has been proven useful in real-world applications like VR and digital creation, the lack of semantics hind... | [
12704,
17633,
1895,
29000,
18889,
22639,
38544,
27795,
3672,
31258,
381,
9599
] | Test |
36,031 | 24 | Title: Shape is (almost) all!: Persistent homology features (PHFs) are an information rich input for efficient molecular machine learning
Abstract: 3-D shape is important to chemistry, but how important? Machine learning works best when the inputs are simple and match the problem well. Chemistry datasets tend to be ver... | [] | Train |
36,032 | 26 | Title: Design and analysis of tweet-based election models for the 2021 Mexican legislative election
Abstract: nan | [] | Test |
36,033 | 11 | Title: Integrated Design of Cooperative Area Coverage and Target Tracking with Multi-UAV System
Abstract: nan | [] | Train |
36,034 | 6 | Title: Mobile Apps for Children's Health and Wellbeing: Design Features and Future Opportunities
Abstract: Mobile health apps hold great potential for promoting children's health and wellbeing. However, there is limited understanding of how these technologies are currently designed to support children with their health... | [] | Validation |
36,035 | 25 | Title: Mask-CTC-based Encoder Pre-training for Streaming End-to-End Speech Recognition
Abstract: Achieving high accuracy with low latency has always been a challenge in streaming end-to-end automatic speech recognition (ASR) systems. By attending to more future contexts, a streaming ASR model achieves higher accuracy b... | [] | Train |
36,036 | 16 | Title: Human Action Recognition in Egocentric Perspective Using 2D Object and Hands Pose
Abstract: Egocentric action recognition is essential for healthcare and assistive technology that relies on egocentric cameras because it allows for the automatic and continuous monitoring of activities of daily living (ADLs) witho... | [] | Validation |
36,037 | 8 | Title: Reliable Packet Detection for Random Access Networks: Analysis, Benchmark, and Optimization
Abstract: This paper reexamines and fundamentally improves the Schmidl-and-Cox (S&C) algorithm, which is extensively used for packet detection in wireless networks, and enhances its adaptability for multi-antenna receiver... | [] | Train |
36,038 | 16 | Title: RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network
Abstract: Cross-domain few-shot segmentation (CD-FSS) aims to achieve semantic segmentation in previously unseen domains with a limited number of annotated samples. Although existing CD-FSS models focus on cross-domain feat... | [
7539
] | Validation |
36,039 | 16 | Title: Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Abstract: Prompt tuning and adapter tuning have shown great potential in transferring pre-trained vision-language models (VLMs) to various downstream tasks. In this work, we design a new type of tuning method, termed as re... | [
28992,
42679
] | Train |
36,040 | 16 | Title: SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
Abstract: Event camera-based pattern recognition is a newly arising research topic in recent years. Current researchers usually transform the event streams into images, graphs, or voxels, and adopt deep ne... | [
23280,
39185,
4332,
38734
] | Train |
36,041 | 31 | Title: High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits
Abstract: We develop a novel latent-bandit algorithm for tackling the cold-start problem for new users joining a recommender system. This new algorithm significantly outperforms the state of the art, simultaneously achieving both higher accura... | [] | Train |
36,042 | 4 | Title: Cybercrime Bitcoin Revenue Estimations: Quantifying the Impact of Methodology and Coverage
Abstract: Multiple works have leveraged the public Bitcoin ledger to estimate the revenue cybercriminals obtain from their victims. Estimations focusing on the same target often do not agree, due to the use of different me... | [] | Test |
36,043 | 16 | Title: Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
Abstract: Video-based human pose transfer is a video-to-video generation task that animates a plain source human image based on a series of target human poses. Considering the difficulties in transferring highly structural patterns ... | [] | Train |
36,044 | 16 | Title: Scene-Aware Feature Matching
Abstract: Current feature matching methods focus on point-level matching, pursuing better representation learning of individual features, but lacking further understanding of the scene. This results in significant performance degradation when handling challenging scenes such as scene... | [
3240
] | Train |
36,045 | 24 | Title: Personalization of Stress Mobile Sensing using Self-Supervised Learning
Abstract: Stress is widely recognized as a major contributor to a variety of health issues. Stress prediction using biosignal data recorded by wearables is a key area of study in mobile sensing research because real-time stress prediction ca... | [
17684
] | Train |
36,046 | 30 | Title: Enhancing Grammatical Error Correction Systems with Explanations
Abstract: Grammatical error correction systems improve written communication by detecting and correcting language mistakes. To help language learners better understand why the GEC system makes a certain correction, the causes of errors (evidence wo... | [] | Train |
36,047 | 24 | Title: STL: A Signed and Truncated Logarithm Activation Function for Neural Networks
Abstract: Activation functions play an essential role in neural networks. They provide the non-linearity for the networks. Therefore, their properties are important for neural networks' accuracy and running performance. In this paper, ... | [
40192,
32713,
9741,
4111,
27282,
17429
] | Train |
36,048 | 24 | Title: Training a Two-Layer ReLU Network Analytically
Abstract: Neural networks are usually trained with different variants of gradient descent-based optimization algorithms such as the stochastic gradient descent or the Adam optimizer. Recent theoretical work states that the critical points (where the gradient of the ... | [] | Validation |
36,049 | 30 | Title: Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases
Abstract: In this paper, we cast Legal Judgment Prediction on European Court of Human Rights cases into an article-aware classification task, where the case outcome is classified from a combined input of cas... | [
26430
] | Validation |
36,050 | 23 | Title: Repeated Builds During Code Review: An Empirical Study of the OpenStack Community
Abstract: Code review is a popular practice where developers critique each others' changes. Since automated builds can identify low-level issues (e.g., syntactic errors, regression bugs), it is not uncommon for software organizatio... | [] | Validation |
36,051 | 16 | Title: CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Abstract: Learning dense visual representations without labels is an arduous task and more so from scene-centric data. We propose to tackle this challenging problem by proposing a Cross-view consistency objective with an Online Clusterin... | [
35057,
28334
] | Validation |
36,052 | 16 | Title: Effective black box adversarial attack with handcrafted kernels
Abstract: We propose a new, simple framework for crafting adversarial examples for black box attacks. The idea is to simulate the substitution model with a non-trainable model compounded of just one layer of handcrafted convolutional kernels and the... | [] | Train |
36,053 | 6 | Title: Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
Abstract: Excessive alcohol consumption causes disability and death. Digital interventions are promising means to promote behavioral change and thus prevent alcohol-related harm, especi... | [] | Train |
36,054 | 30 | Title: Visually Grounded Keyword Detection and Localisation for Low-Resource Languages
Abstract: This study investigates the use of Visually Grounded Speech (VGS) models for keyword localisation in speech. The study focusses on two main research questions: (1) Is keyword localisation possible with VGS models and (2) Ca... | [] | Test |
36,055 | 28 | Title: Performance Analysis of RIS-Aided NOMA Networks in α-μ & κ-μ Generalized Fading Channel
Abstract: For forthcoming 5G networks, Non-Orthogonal Multiple Access (NOMA) is a very promising techniques. and in today's world, Line of Sight communication is becoming increasingly harder to achieve. Hence, technologies li... | [] | Train |
36,056 | 30 | Title: Exploring Transformer Extrapolation
Abstract: Length extrapolation has attracted considerable attention recently since it allows transformers to be tested on longer sequences than those used in training. Previous research has shown that this property can be attained by using carefully designed Relative Positiona... | [
1313,
42012
] | Test |
36,057 | 24 | Title: Safe Reinforcement Learning with Dual Robustness
Abstract: Reinforcement learning (RL) agents are vulnerable to adversarial disturbances, which can deteriorate task performance or compromise safety specifications. Existing methods either address safety requirements under the assumption of no adversary (e.g., saf... | [] | Validation |
36,058 | 24 | Title: Curriculum Graph Machine Learning: A Survey
Abstract: Graph machine learning has been extensively studied in both academia and industry. However, in the literature, most existing graph machine learning models are designed to conduct training with data samples in a random order, which may suffer from suboptimal p... | [
35535
] | Train |
36,059 | 27 | Title: Multiparticle Kalman filter for object localization in symmetric environments
Abstract: This study considers the object localization problem and proposes a novel multiparticle Kalman filter to solve it in complex and symmetric environments. Two well-known classes of filtering algorithms to solve the localization... | [] | Train |
36,060 | 24 | Title: Pure exploration in multi-armed bandits with low rank structure using oblivious sampler
Abstract: In this paper, we consider the low rank structure of the reward sequence of the pure exploration problems. Firstly, we propose the separated setting in pure exploration problem, where the exploration strategy cannot... | [] | Train |
36,061 | 27 | Title: Project-Based Learning for Robot Control Theory: A Robot Operating System (ROS) Based Approach
Abstract: Control theory is an important cornerstone of the robotics field and is considered a fundamental subject in an undergraduate and postgraduate robotics curriculum. Furthermore, project-based learning has shown... | [] | Test |
36,062 | 23 | Title: LeakPair: Proactive Repairing of Memory Leaks in Single Page Web Applications
Abstract: Modern web applications often resort to application development frameworks such as React, Vue.js, and Angular. While the frameworks facilitate the development of web applications with several useful components, they are inevi... | [] | Train |
36,063 | 4 | Title: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario
Abstract: We study the challenging task of malware recognition on both known and novel unknown malware families, called malware open-set recognition (MOSR). Previous works usually assume the malware families are known to th... | [
32677,
33343,
4910,
20655,
3920,
18290,
38707,
511
] | Validation |
36,064 | 24 | Title: CongFu: Conditional Graph Fusion for Drug Synergy Prediction
Abstract: Drug synergy, characterized by the amplified combined effect of multiple drugs, presents a critical phenomenon for optimizing therapeutic outcomes. However, limited data on drug synergy, arising from the vast number of possible drug combinati... | [
6857
] | Train |
36,065 | 27 | Title: Multi-Agent Reinforcement Learning for Pragmatic Communication and Control
Abstract: The automation of factories and manufacturing processes has been accelerating over the past few years, boosted by the Industry 4.0 paradigm, including diverse scenarios with mobile, flexible agents. Efficient coordination betwee... | [] | Train |
36,066 | 25 | Title: Low-complexity deep learning frameworks for acoustic scene classification
Abstract: In this technical report, a low-complexity deep learning system for acoustic scene classification (ASC) is presented. The proposed system comprises two main phases: (Phase I) Training a teacher network; and (Phase II) training a ... | [] | Train |
36,067 | 30 | Title: Financial News Analytics Using Fine-Tuned Llama 2 GPT Model
Abstract: The paper considers the possibility to fine-tune Llama 2 GPT large language model (LLM) for the multitask analysis of financial news. For fine-tuning, the PEFT/LoRA based approach was used. In the study, the model was fine-tuned for the follow... | [
43641,
1883
] | Train |
36,068 | 24 | Title: A compendium of data sources for data science, machine learning, and artificial intelligence
Abstract: Recent advances in data science, machine learning, and artificial intelligence, such as the emergence of large language models, are leading to an increasing demand for data that can be processed by such models.... | [] | Test |
36,069 | 3 | Title: Modeling rabbit-holes on YouTube
Abstract: nan | [] | Train |
36,070 | 28 | Title: Permutation Resemblance
Abstract: Motivated by the problem of constructing bijective maps with low differential uniformity, we introduce the notion of permutation resemblance of a function, which looks to measure the distance a given map is from being a permutation. We prove several results concerning permutatio... | [] | Train |
36,071 | 16 | Title: Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
Abstract: Transferring the ImageNet pre-trained weights to the various remote sensing tasks has produced acceptable results and reduced the need for labeled samples. However, the domain differences between ground imag... | [
3016,
39812
] | Train |
36,072 | 30 | Title: NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
Abstract: In this study, we analyze automatic evaluation metrics for Natural Language Generation (NLG), specifically task-agnostic metrics and human-aligned metrics. Task-agnostic metrics, such as Perplexity, BLEU, BERTS... | [
1966
] | Validation |
36,073 | 4 | Title: A SKG Security Challenge: Indoor SKG Under an On-The-Shoulder Eavesdropping Attack
Abstract: Physical layer security (PLS) is seen as the means to enhance physical layer trustworthiness in 6G. This work provides a proof-of-concept for one of the most mature PLS technologies, i.e., secret key generation (SKG) fro... | [] | Train |
36,074 | 8 | Title: Robustness of Complex Networks Considering Load and Cascading Failure under Edge-removal Attack
Abstract: In the understanding of important edges in complex networks, the edges with larger degree are naturally considered more important, and they will cause greater destructiveness when attacked. However, through ... | [] | Train |
36,075 | 4 | Title: A Deep Dive into NFT Rug Pulls
Abstract: NFT rug pull is one of the most prominent type of scam that the developers of a project abandon it and then run away with investors' funds. Although they have drawn attention from our community, to the best of our knowledge, the NFT rug pulls have not been systematically ... | [
21562,
44926
] | Train |
36,076 | 38 | Title: Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
Abstract: Quantitatively profiling a scholar's scientific impact is important to modern research society. Current practices with bibliometric indicators (e.g., h-index), lists, and networks perform well at scholar ranking, but do not provide... | [] | Test |
36,077 | 37 | Title: Shirakami: A Hybrid Concurrency Control Protocol for Tsurugi Relational Database System
Abstract: Modern real-world transactional workloads such as bills of materials or telecommunication billing need to process both short transactions and long transactions. Recent concurrency control protocols do not cope with ... | [] | Validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.