Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
27,578	27	Title: Emergent Incident Response for Unmanned Warehouses with Multi-agent Systems Abstract: Unmanned warehouses are an important part of logistics, and improving their operational efficiency can effectively enhance service efficiency. However, due to the complexity of unmanned warehouse systems and their susceptibilit...	[]	Train
27,579	24	Title: Diffused Redundancy in Pre-trained Representations Abstract: Representations learned by pre-training a neural network on a large dataset are increasingly used successfully to perform a variety of downstream tasks. In this work, we take a closer look at how features are encoded in such pre-trained representations...	[]	Train
27,580	24	Title: A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study Abstract: nan	[ 1262 ]	Train
27,581	3	Title: Separating Technological and Clinical Safety Assurance for Medical Devices Abstract: The safety and clinical effectiveness of medical devices are closely associated with their specific use in clinical treatments. Assuring safety and the desired clinical effectiveness is challenging. Different people may react di...	[]	Test
27,582	31	Title: SSE: A Metric for Evaluating Search System Explainability Abstract: Explainable Information Retrieval (XIR) is a growing research area focused on enhancing transparency and trustworthiness of the complex decision-making processes taking place in modern information retrieval systems. While there has been progress...	[]	Train
27,583	24	Title: Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication Abstract: Graphs are omnipresent and GNNs are a powerful family of neural networks for learning over graphs. Despite their popularity, scaling GNNs either by deepening or widening suffers from prevalent issues of unhealthy ...	[ 16960, 29153, 25134, 2678, 45531, 4029 ]	Train
27,584	20	Title: Shadoks Approach to Convex Covering Abstract: We describe the heuristics used by the Shadoks team in the CG:SHOP 2023 Challenge. The Challenge consists of 206 instances, each being a polygon with holes. The goal is to cover each instance polygon with a small number of convex polygons. Our general strategy is the...	[ 23514 ]	Train
27,585	30	Title: MathAttack: Attacking Large Language Models Towards Math Solving Ability Abstract: With the boom of Large Language Models (LLMs), the research of solving Math Word Problem (MWP) has recently made great progress. However, there are few studies to examine the security of LLMs in math solving ability. Instead of at...	[ 7648, 23425, 13224, 35465, 6353, 21880, 12602 ]	Validation
27,586	28	Title: From Soft-Minoration to Information-Constrained Optimal Transport and Spiked Tensor Models Abstract: Let ${P_Z}$ be a given distribution on ${\mathbb{R}^n}$. For any $y \in {\mathbb{R}^n}$, we may interpret $\rho \left( y \right): = {\text{ln}}\mathbb{E}\left[ {{e^{y,Z}}} \right]$ as a soft-max of $y,Z$. We expl...	[]	Train
27,587	30	Title: Rank-Aware Negative Training for Semi-Supervised Text Classification Abstract: Abstract Semi-supervised text classification-based paradigms (SSTC) typically employ the spirit of self-training. The key idea is to train a deep classifier on limited labeled texts and then iteratively predict the unlabeled texts as ...	[]	Test
27,588	24	Title: Optimal Decision Trees For Interpretable Clustering with Constraints Abstract: Constrained clustering is a semi-supervised task that employs a limited amount of labelled data, formulated as constraints, to incorporate domain-specific knowledge and to significantly improve clustering accuracy. Previous work has c...	[]	Test
27,589	16	Title: Omni Aggregation Networks for Lightweight Image Super-Resolution Abstract: While lightweight ViT framework has made tremendous progress in image super-resolution, its uni-dimensional self-attention modeling, as well as homogeneous aggregation scheme, limit its effective receptive field (ERF) to include more comp...	[ 30628 ]	Test
27,590	16	Title: Unbalanced Optimal Transport: A Unified Framework for Object Detection Abstract: During training, supervised object detection tries to correctly match the predicted bounding boxes and associated classification scores to the ground truth. This is essential to determine which predictions are to be pushed towards w...	[]	Validation
27,591	24	Title: Anderson Acceleration For Bioinformatics-Based Machine Learning Abstract: Anderson acceleration (AA) is a well-known method for accelerating the convergence of iterative algorithms, with applications in various fields including deep learning and optimization. Despite its popularity in these areas, the effectiven...	[]	Train
27,592	28	Title: On Multi-Message Private Computation Abstract: In a typical formulation of the private information retrieval (PIR) problem, a single user wishes to retrieve one out of $ K$ datasets from $N$ servers without revealing the demanded message index to any server. This paper formulates an extended model of PIR, referr...	[]	Test
27,593	16	Title: MyStyle++: A Controllable Personalized Generative Prior Abstract: In this paper, we propose an approach to obtain a personalized generative prior with explicit control over a set of attributes. We build upon MyStyle, a recently introduced method, that tunes the weights of a pre-trained StyleGAN face generator on...	[]	Train
27,594	30	Title: Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs Abstract: Compared to English, German word order is freer and therefore poses additional challenges for natural language inference (NLI). We create WOGLI (Word Order in German...	[]	Train
27,595	35	Title: CoRD: Converged RDMA Dataplane for High-Performance Clouds Abstract: High-performance networking is often characterized by kernel bypass which is considered mandatory in high-performance parallel and distributed applications. But kernel bypass comes at a price because it breaks the traditional OS architecture, r...	[ 15900 ]	Train
27,596	28	Title: Applicable Regions of Spherical and Plane Wave Models for Extremely Large-Scale Array Communications Abstract: —Extremely large-scale array (XL-array) communications can signiﬁcantly improve the spectral efﬁciency and spatial resolution, and has great potential in next-generation mobile communication networks. A...	[ 33290, 262 ]	Train
27,597	25	Title: Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints Abstract: Audio source separation is often achieved by estimating the magnitude spectrogram of each source, and then applying a phase recovery (or spectrogram inversion) algorithm to retrieve time-domain signals....	[]	Train
27,598	31	Title: Of Spiky SVDs and Music Recommendation Abstract: The truncated singular value decomposition is a widely used methodology in music recommendation for direct similar-item retrieval and downstream tasks embedding musical items. This paper investigates a curious effect that we show naturally occurring on many recomm...	[]	Test
27,599	25	Title: Adversarial Representation Learning for Robust Privacy Preservation in Audio Abstract: Sound event detection systems are widely used in various applications such as surveillance and environmental monitoring where data is automatically collected, processed, and sent to a cloud for sound recognition. However, this...	[]	Train
27,600	24	Title: Causal Entropy and Information Gain for Measuring Causal Control Abstract: Artificial intelligence models and methods commonly lack causal interpretability. Despite the advancements in interpretable machine learning (IML) methods, they frequently assign importance to features which lack causal influence on the o...	[]	Train
27,601	30	Title: Learning Manner of Execution from Partial Corrections Abstract: Some actions must be executed in different ways depending on the context. For example, wiping away marker requires vigorous force while wiping away almonds requires more gentle force. In this paper we provide a model where an agent learns which mann...	[]	Train
27,602	24	Title: Constructing a Meta-Learner for Unsupervised Anomaly Detection Abstract: Unsupervised anomaly detection (AD) is critical for a wide range of practical applications, from network security to health and medical tools. Due to the diversity of problems, no single algorithm has been found to be superior for all AD ta...	[ 14823 ]	Train
27,603	1	Title: Parameter-Efficient Transfer Learning for Audio-Visual-Language Tasks Abstract: The pretrain-then-finetune paradigm has been widely used in various unimodal and multimodal tasks. However, finetuning all the parameters of a pre-trained model becomes prohibitive as the model size grows exponentially. To address th...	[]	Train
27,604	26	Title: Calling The Dead: Resilience In The WTC Communication Networks Abstract: Organizations in emergency settings must cope with various sources of disruption, most notably personnel loss. Death, incapacitation, or isolation of individuals within an organizational communication network can impair information passing,...	[]	Train
27,605	6	Title: Behavioural analysis of interaction between individuals and a robot in the window (cAESAR2023 workshop) Abstract: The aim of the current research is to analyse and discover, in a real context, behaviours, reactions and modes of interaction of social actors (people) with the humanoid robot Pepper. Indeed, we want...	[]	Train
27,606	33	Title: Transduction of Automatic Sequences and Applications Abstract: We consider the implementation of the transduction of automatic sequences, and their generalizations, in the Walnut software for solving decision problems in combinatorics on words. We provide a number of applications, including (a) representations o...	[ 27143 ]	Train
27,607	3	Title: Exploring Gender and Race Biases in the NFT Market Abstract: nan	[]	Test
27,608	30	Title: A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement Abstract: Generating proper embedding of sentences through an unsupervised way is beneficial to semantic matching and retrieval problems in real-world scenarios. This paper presents Representation ALchemy (RepAL), an extremely...	[ 10554 ]	Train
27,609	30	Title: Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference Abstract: Deploying pre-trained transformer models like BERT on downstream tasks in resource-constrained scenarios is challenging due to their high inference cost, which grows rapidly with input sequence length. In this work...	[]	Train
27,610	1	Title: Improving Social Media Popularity Prediction with Multiple Post Dependencies Abstract: Social Media Popularity Prediction has drawn a lot of attention because of its profound impact on many different applications, such as recommendation systems and multimedia advertising. Despite recent efforts to leverage the c...	[]	Test
27,611	30	Title: Evaluating Neuron Interpretation Methods of NLP Models Abstract: Neuron Interpretation has gained traction in the ﬁeld of interpretability, and have provided ﬁne-grained insights into what a model learns and how language knowledge is distributed amongst its different components. However, the lack of evaluation b...	[ 41922 ]	Train
27,612	6	Title: A Prompt Log Analysis of Text-to-Image Generation Systems Abstract: Recent developments in large language models (LLM) and generative AI have unleashed the astonishing capabilities of text-to-image generation systems to synthesize high-quality images that are faithful to a given reference text, known as a “promp...	[ 13700, 15023, 4975, 20435, 1688, 42010 ]	Train
27,613	16	Title: Prior-guided Source-free Domain Adaptation for Human Pose Estimation Abstract: Domain adaptation methods for 2D human pose estimation typically require continuous access to the source data during adaptation, which can be challenging due to privacy, memory, or computational constraints. To address this limitation...	[]	Train
27,614	24	Title: Heart Diseases Prediction Using Block-chain and Machine Learning Abstract: Most people around the globe are dying due to heart disease. The main reason behind the rapid increase in the death rate due to heart disease is that there is no infrastructure developed for the healthcare department that can provide a se...	[]	Validation
27,615	4	Title: Secure Composition of Robust and Optimising Compilers Abstract: To ensure that secure applications do not leak their secrets, they are required to uphold several security properties such as spatial and temporal memory safety as well as cryptographic constant time. Existing work shows how to enforce these propert...	[]	Train
27,616	24	Title: Toward L∞-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields Abstract: Many machine learning applications require learning a function with a small worst-case error over the entire input domain, that is, the $L_\infty$-error, whereas most existing theoretical works on...	[ 10664 ]	Test
27,617	10	Title: Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy Abstract: Social media has drastically reshaped the world that allows billions of people to engage in such interactive environments to conveniently create and share content with the public. Among them, text data (e.g....	[]	Train
27,618	4	Title: Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance Abstract: Reversible adversarial examples (RAE) combine adversarial attacks and reversible data-hiding technology on a single image to prevent illegal access. Most RAE studies focus on achieving white-box attacks. In this paper, we ...	[]	Train
27,619	5	Title: Eating sandwiches: Modular and lightweight elimination of transaction reordering attacks Abstract: Traditional blockchains grant the miner of a block full control not only over which transactions but also their order. This constitutes a major flaw discovered with the introduction of decentralized finance and all...	[]	Validation
27,620	24	Title: Shapley Values with Uncertain Value Functions Abstract: nan	[]	Validation
27,621	30	Title: BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information Abstract: Automated reasoning with unstructured natural text is a key requirement for many potential applications of NLP and for developing robust AI systems. Recently, Language Models (LMs) have demonstrated complex reasoning c...	[ 28193, 40610, 43298, 30636, 26222, 9521 ]	Test
27,622	24	Title: Reverse Engineering Self-Supervised Learning Abstract: Self-supervised learning (SSL) is a powerful tool in machine learning, but understanding the learned representations and their underlying mechanisms remains a challenge. This paper presents an in-depth empirical analysis of SSL-trained representations, encom...	[ 19787, 32107, 4063, 1947, 45471 ]	Validation
27,623	34	Title: A 5-approximation Algorithm for the Traveling Tournament Problem Abstract: The Traveling Tournament Problem (TTP-$k$) is a well-known benchmark problem in tournament timetabling, which asks us to design a double round-robin schedule such that the total traveling distance of all $n$ teams is minimized under the c...	[]	Train
27,624	16	Title: Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging Abstract: Despite recent progress in enhancing the privacy of federated learning (FL) via differential privacy (DP), the trade-off of DP between privacy protection and performance is still underexplored for real-world medica...	[]	Train
27,625	16	Title: Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition Abstract: Hand action recognition is essential. Communication, human-robot interactions, and gesture control are dependent on it. Skeleton-based action recognition traditionally includes hands, which belong to the classes which remain chall...	[]	Test
27,626	16	Title: Temporal Dynamic Quantization for Diffusion Models Abstract: The diffusion model has gained popularity in vision applications due to its remarkable generative performance and versatility. However, high storage and computation demands, resulting from the model size and iterative generation, hinder its use on mobi...	[ 30402, 13700 ]	Train
27,627	24	Title: Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing Abstract: We propose an optimal iterative scheme for federated transfer learning, where a central planner has access to datasets ${\cal D}_1,\dots,{\cal D}_N$ for the same learning model $f_{\theta}$. Ou...	[ 16201 ]	Train
27,628	4	Title: Fuzzing with Quantitative and Adaptive Hot-Bytes Identification Abstract: Fuzzing has emerged as a powerful technique for finding security bugs in complicated real-world applications. American fuzzy lop (AFL), a leading fuzzing tool, has demonstrated its powerful bug finding ability through a vast number of repo...	[]	Validation
27,629	30	Title: Label Dependencies-aware Set Prediction Networks for Multi-label Text Classification Abstract: Multi-label text classification aims to extract all the related labels from a sentence, which can be viewed as a sequence generation problem. However, the labels in training dataset are unordered. We propose to treat i...	[]	Validation
27,630	24	Title: On the Connection Between MPNN and Graph Transformer Abstract: Graph Transformer (GT) recently has emerged as a new paradigm of graph learning algorithms, outperforming the previously popular Message Passing Neural Network (MPNN) on multiple benchmarks. Previous work (Kim et al., 2022) shows that with proper pos...	[ 32210, 11323, 44836 ]	Train
27,631	6	Title: Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice Abstract: An emerging body of research indicates that ineffective cross-functional collaboration – the interdisciplinary work done by industry practitioners across roles – represents a major barri...	[ 41259, 14612, 21918, 20351 ]	Validation
27,632	24	Title: Understanding the limitations of self-supervised learning for tabular anomaly detection Abstract: While self-supervised learning has improved anomaly detection in computer vision and natural language processing, it is unclear whether tabular data can benefit from it. This paper explores the limitations of self-s...	[]	Test
27,633	24	Title: Precision Anti-Cancer Drug Selection via Neural Ranking Abstract: Personalized cancer treatment requires a thorough understanding of complex interactions between drugs and cancer cell lines in varying genetic and molecular contexts. To address this, high-throughput screening has been used to generate large-scale...	[]	Train
27,634	34	Title: Stream-K: Work-Centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU Abstract: We introduce Stream-K, a work-centric parallelization of matrix multiplication (GEMM) and related computations in dense linear algebra. Whereas contemporary decompositions are primarily tile-based, our metho...	[]	Train
27,635	16	Title: Agave crop segmentation and maturity classification with deep learning data-centric strategies using very high-resolution satellite imagery Abstract: The responsible and sustainable agave-tequila production chain is fundamental for the social, environment and economic development of Mexico's agave regions. It is...	[]	Train
27,636	23	Title: PentestGPT: An LLM-empowered Automatic Penetration Testing Tool Abstract: Penetration testing, a crucial industrial practice for ensuring system security, has traditionally resisted automation due to the extensive expertise required by human professionals. Large Language Models (LLMs) have shown significant adva...	[ 40192, 33477, 11273, 11115, 37360, 24760, 35580 ]	Train
27,637	6	Title: Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models Abstract: A single digital newsletter usually contains many messages (regions). Users’ reading time spent on, and read level (skip/skim/read-in-detail) of each message is important for platforms to understand ...	[ 27809, 35270, 26697, 25007, 25342 ]	Train
27,638	23	Title: EvLog: Identifying Anomalous Logs over Software Evolution Abstract: Software logs record system activities, aiding maintainers in identifying the underlying causes for failures and enabling prompt mitigation actions. However, maintainers need to inspect a large volume of daily logs to identify the anomalous logs...	[ 11375 ]	Validation
27,639	25	Title: Audio-Text Models Do Not Yet Leverage Natural Language Abstract: Multi-modal contrastive learning techniques in the audio-text domain have quickly become a highly active area of research. Most works are evaluated with standard audio retrieval and classification benchmarks assuming that (i) these models are capab...	[ 4088 ]	Train
27,640	16	Title: Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection Abstract: Self-training allows a network to learn from the predictions of a more complicated model, thus often requires well-trained teacher models and mixture of teacher-student data while multi-task learning jointly op...	[ 4855 ]	Validation
27,641	22	Title: Modular System Synthesis Abstract: This paper describes a way to improve the scalability of program synthesis by exploiting modularity: larger programs are synthesized from smaller programs. The key issue is to make each"larger-created-from-smaller"synthesis sub-problem be of a similar nature, so that the kind o...	[]	Test
27,642	6	Title: The DiffuseStyleGesture+ entry to the GENEA Challenge 2023 Abstract: In this paper, we introduce the DiffuseStyleGesture+, our solution for the Generation and Evaluation of Non-verbal Behavior for Embodied Agents (GENEA) Challenge 2023, which aims to foster the development of realistic, automated systems for gen...	[ 41699, 33512, 25609, 8718, 19667, 28055, 17241 ]	Train
27,643	28	Title: A Dominant Interferer Plus Mean Field-Based Approximation for SINR Meta Distribution in Wireless Networks Abstract: This paper proposes a novel approach for computing the meta distribution of the signal-to-interference-plus-noise ratio (SINR) for the downlink transmission in a wireless network with Rayleigh fadi...	[ 13577 ]	Validation
27,644	30	Title: Cross Encoding as Augmentation: Towards Effective Educational Text Classification Abstract: Text classification in education, usually called auto-tagging, is the automated process of assigning relevant tags to educational content, such as questions and textbooks. However, auto-tagging suffers from a data scarcit...	[]	Test
27,645	30	Title: Automatic Emotion Experiencer Recognition Abstract: The most prominent subtask in emotion analysis is emotion classification; to assign a category to a textual unit, for instance a social media post. Many research questions from the social sciences do, however, not only require the detection of the emotion of an...	[ 44643 ]	Validation
27,646	30	Title: LatinCy: Synthetic Trained Pipelines for Latin NLP Abstract: This paper introduces LatinCy, a set of trained general purpose Latin-language"core"pipelines for use with the spaCy natural language processing framework. The models are trained on a large amount of available Latin data, including all five of the Lati...	[ 35803 ]	Validation
27,647	30	Title: Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering Abstract: The nodes in the commonsense knowledge graph (CSKG) are normally represented by free-form short text (e.g., word or phrase). Different nodes may represent the same concept. This leads to the problems of edge sparsity...	[]	Train
27,648	27	Title: Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition Abstract: Deep reinforcement learning (DRL) frameworks are increasingly used to solve high-dimensional continuous-control tasks in robotics. However, due to the lack of sample efficiency, applying DRL for ...	[]	Validation
27,649	27	Title: Embodied Executable Policy Learning with Language-based Scene Summarization Abstract: Large Language models (LLMs) have shown remarkable success in assisting robot learning tasks, i.e., complex household planning. However, the performance of pretrained LLMs heavily relies on domain-specific templated text data, ...	[ 5484 ]	Test
27,650	30	Title: A Multiple Choices Reading Comprehension Corpus for Vietnamese Language Education Abstract: Machine reading comprehension has been an interesting and challenging task in recent years, with the purpose of extracting useful information from texts. To attain the computer ability to understand the reading text and a...	[]	Train
27,651	4	Title: QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems Abstract: Current adversarial attacks against speaker recognition systems (SRSs) require either white-box access or heavy black-box queries to the target SRS, thus still falling behind practical attacks against proprietary commercial ...	[ 30901 ]	Test
27,652	1	Title: Multimodal Neural Databases Abstract: The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them. Multimedia Information Retrieval has filled this gap and has witnessed exciting progress in recent years. Tasks such as search and retrieval of ...	[ 7936, 10624, 18739, 23767, 18489 ]	Test
27,653	10	Title: Semantic relatedness in DBpedia: A comparative and experimental assessment Abstract: nan	[]	Test
27,654	24	Title: Prediction of Handball Matches with Statistically Enhanced Learning via Estimated Team Strengths Abstract: We propose a Statistically Enhanced Learning (aka. SEL) model to predict handball games. Our Machine Learning model augmented with SEL features outperforms state-of-the-art models with an accuracy beyond 80...	[]	Train
27,655	8	Title: Enhanced Hybrid Automatic Repeat Request Scheduling for Non-Terrestrial IoT Networks Abstract: Non-terrestrial networks (NTNs) complement their terrestrial counterparts in enabling ubiquitous connectivity globally by serving unserved and/or underserved areas of the world. While supporting enhanced mobile broadba...	[]	Validation
27,656	8	Title: Scaling Limits of Quantum Repeater Networks Abstract: Quantum networks (QNs) are a promising platform for secure communications, enhanced sensing, and efficient distributed quantum computing. However, due to the fragile nature of quantum states, these networks face significant challenges in terms of scalability....	[]	Train
27,657	31	Title: Distributional Off-Policy Evaluation for Slate Recommendations Abstract: Recommendation strategies are typically evaluated by using previously logged data, employing off-policy evaluation methods to estimate their expected performance. However, for strategies that present users with slates of multiple items, the...	[]	Validation
27,658	3	Title: Questioning the impact of AI and interdisciplinarity in science: Lessons from COVID-19 Abstract: Artificial intelligence (AI) has emerged as one of the most promising technologies to support COVID-19 research, with interdisciplinary collaborations between medical professionals and AI specialists being actively e...	[]	Train
27,659	27	Title: Continuous Risk Measures for Driving Support Abstract: In this paper, we compare three different model-based risk measures by evaluating their stengths and weaknesses qualitatively and testing them quantitatively on a set of real longitudinal and intersection scenarios. We start with the traditional heuristic Ti...	[]	Validation
27,660	31	Title: STEM: Unleashing the Power of Embeddings for Multi-task Recommendation Abstract: Multi-task learning (MTL) has gained significant popularity in recommendation systems as it enables the simultaneous optimization of multiple objectives. A key challenge in MTL is the occurrence of negative transfer, where the perfo...	[ 40743 ]	Test
27,661	34	Title: Memory-Efficient Solutions to Large-Graph MST Problems Abstract: Minimum Spanning Trees are a well-studied subset of graph problems. While classical algorithms have existed to solve these problems for decades, new variations and application areas are constantly being discovered. When dealing with large graph pro...	[]	Test
27,662	16	Title: Direct learning-based deep spiking neural networks: a review Abstract: The spiking neural network (SNN), as a promising brain-inspired computational model with binary spike information transmission mechanism, rich spatially-temporal dynamics, and event-driven characteristics, has received extensive attention. Ho...	[ 10306, 22629, 18342, 23271, 17608, 25384, 36842, 39312, 39185, 33240, 40475, 37372 ]	Train
27,663	3	Title: A Greed(y) Training Strategy to Attract High School Girls to Undertake Studies in ICT Abstract: It has been observed in many studies that female students in general are unwilling to undertake a course of study in ICT. Recent literature has also pointed out that undermining the prejudices of girls with respect to...	[]	Validation
27,664	27	Title: POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments Abstract: Simultaneous localization and mapping (SLAM) in slowly varying scenes is important for long-term robot task completion. Failing to detect scene changes may lead to inaccurate maps and, ultimately, lost robots. Classical S...	[]	Train
27,665	25	Title: SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet Abstract: It is very important to access a rich music dataset that is useful in a wide variety of applications. Currently, available datasets are mostly focused on storing vocal or instrumental recording data and ignoring the requirement of its...	[]	Test
27,666	8	Title: Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain Abstract: We present a novel ML framework for modeling the wavelength-dependent gain of multiple EDFAs, based on semi-supervised, self-normalizing neural networks, enabling one-shot transfer learning....	[]	Train
27,667	27	Title: Authoring and Operating Humanoid Behaviors On the Fly using Coactive Design Principles Abstract: Humanoid robots have the potential to perform useful tasks in a world built for humans. However, communicating intention and teaming with a humanoid robot is a multi-faceted and complex problem. In this paper, we tac...	[ 13564 ]	Train
27,668	24	Title: Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Abstract: The multi-agent setting is intricate and unpredictable since the behaviors of multiple agents influence one another. To address this environmental uncertainty, distributional reinforcement learning algorithms th...	[]	Train
27,669	30	Title: REPLUG: Retrieval-Augmented Black-Box Language Models Abstract: We introduce REPLUG, a retrieval-augmented language modeling framework that treats the language model (LM) as a black box and augments it with a tuneable retrieval model. Unlike prior retrieval-augmented LMs that train language models with special c...	[ 7936, 15104, 27140, 33284, 38281, 397, 4368, 44176, 11538, 29076, 43668, 4631, 33817, 27039, 32287, 43298, 38948, 31397, 39, 40493, 9518, 35375, 2608, 41392, 41010, 33455, 43060, 8887, 41914, 39873, 33477, 40261, 3531, 9804, 42574, 28878, 39377...	Train
27,670	16	Title: Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data Abstract: Aggressive comments on social media negatively impact human life. Such offensive contents are responsible for depression and suicidal-related activities. Since online social network...	[ 32169, 37820, 39539, 42260 ]	Validation
27,671	24	Title: Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Abstract: Machine learning (ML) has become increasingly popular in network intrusion detection. However, ML-based solutions always respond regardless of whether the input data reflects known patterns, a common issue across safe...	[]	Validation
27,672	27	Title: Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty Abstract: Mobile robots are ubiquitous. Such vehicles benefit from well-designed and calibrated control algorithms ensuring their task execution under precise uncertainty bounds. Yet, in tasks involving human...	[]	Validation
27,673	25	Title: Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis Abstract: Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of musical forms. Examples of mesostructures include melody, arpeggios,...	[ 23145 ]	Train
27,674	30	Title: Performance of Data Augmentation Methods for Brazilian Portuguese Text Classification Abstract: Improving machine learning performance while increasing model generalization has been a constantly pursued goal by AI researchers. Data augmentation techniques are often used towards achieving this target, and most of...	[]	Train
27,675	24	Title: Effects of data time lag in a decision-making system using machine learning for pork price prediction Abstract: nan	[]	Train
27,676	24	Title: From Plate to Prevention: A Dietary Nutrient-aided Platform for Health Promotion in Singapore Abstract: Singapore has been striving to improve the provision of healthcare services to her people. In this course, the government has taken note of the deficiency in regulating and supervising people's nutrient intake...	[]	Train
27,677	30	Title: Handling Realistic Label Noise in BERT Text Classification Abstract: Labels noise refers to errors in training labels caused by cheap data annotation methods, such as web scraping or crowd-sourcing, which can be detrimental to the performance of supervised classifiers. Several methods have been proposed to count...	[]	Train

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