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
22,678	5	Title: Auto-SpMV: Automated Optimizing SpMV Kernels on GPU Abstract: Sparse matrix-vector multiplication (SpMV) is an essential linear algebra operation that dominates the computing cost in many scientific applications. Due to providing massive parallelism and high memory bandwidth, GPUs are commonly used to accelerate...	[]	Train
22,679	23	Title: Bootstrapping Code-Text Pretrained Language Model to Detect Inconsistency Between Code and Comment Abstract: Comments on source code serve as critical documentation for enabling developers to understand the code's functionality and use it properly. However, it is challenging to ensure that comments accurately re...	[]	Train
22,680	16	Title: Separable Self and Mixed Attention Transformers for Efficient Object Tracking Abstract: The deployment of transformers for visual object tracking has shown state-of-the-art results on several benchmarks. However, the transformer-based models are under-utilized for Siamese lightweight tracking due to the computat...	[ 26484, 42854, 3951 ]	Train
22,681	4	Title: Augmenting Greybox Fuzzing with Generative AI Abstract: Real-world programs expecting structured inputs often has a format-parsing stage gating the deeper program space. Neither a mutation-based approach nor a generative approach can provide a solution that is effective and scalable. Large language models (LLM) ...	[ 36617, 9635, 10133, 11190 ]	Train
22,682	2	Title: Proving Termination of C Programs with Lists Abstract: There are many techniques and tools to prove termination of C programs, but up to now these tools were not very powerful for fully automated termination proofs of programs whose termination depends on recursive data structures like lists. We present the firs...	[ 34844, 6407 ]	Validation
22,683	30	Title: Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM Abstract: Text summarization is a fundamental task in natural language processing that aims to condense large amounts of textual information into concise and coherent summaries. With the exponential growth of content and the n...	[ 23899 ]	Validation
22,684	24	Title: Theoretical and Practical Perspectives on what Influence Functions Do Abstract: Influence functions (IF) have been seen as a technique for explaining model predictions through the lens of the training data. Their utility is assumed to be in identifying training examples"responsible"for a prediction so that, for ...	[ 36411 ]	Test
22,685	16	Title: PCR-CG: Point Cloud Registration via Deep Color and Geometry Abstract: In this paper, we introduce PCR-CG: a novel 3D point cloud registration module explicitly embedding the color signals into the geometry representation. Different from previous methods that only use geometry representation, our module is speci...	[]	Train
22,686	4	Title: Physical Layer Authentication and Security Design in the Machine Learning Era Abstract: Security at the physical layer (PHY) is a salient research topic in wireless systems, and machine learning (ML) is emerging as a powerful tool for providing new data-driven security solutions. Therefore, the application of ML...	[]	Train
22,687	8	Title: Optical Switching Data Center Networks: Understanding Techniques and Challenges Abstract: Relying on the flexible-access interconnects to the scalable storage and compute resources, data centers deliver critical communications connectivity among numerous servers to support the housed applications and services. T...	[]	Validation
22,688	24	Title: PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer Abstract: Polymer simulation with both accuracy and efficiency is a challenging task. Machine learning (ML) forcefields have been developed to achieve both the accuracy of ab initio methods and the eff...	[]	Train
22,689	16	Title: Ensemble of Anchor-Free Models for Robust Bangla Document Layout Segmentation Abstract: In this research paper, we introduce a novel approach designed for the purpose of segmenting the layout of Bangla documents. Our methodology involves the utilization of a sophisticated ensemble of YOLOv8 models, which were tr...	[ 4491, 35156, 13283 ]	Train
22,690	31	Title: AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation Abstract: This paper presents the AToMiC (Authoring Tools for Multi media Content) dataset, designed to advance research in image/text cross-modal retrieval. While vision--language pretrained transformers have led to significa...	[]	Validation
22,691	4	Title: MAFIA: Protecting the Microarchitecture of Embedded Systems Against Fault Injection Attacks Abstract: Fault injection attacks represent an effective threat to embedded systems. Recently, Laurent et al. have reported that fault injection attacks can leverage faults inside the microarchitecture. However, state-of-...	[]	Train
22,692	6	Title: Adaptive Assessment of Visualization Literacy Abstract: Visualization literacy is an essential skill for accurately interpreting data to inform critical decisions. Consequently, it is vital to understand the evolution of this ability and devise targeted interventions to enhance it, requiring concise and repeatab...	[]	Test
22,693	24	Title: Input margins can predict generalization too Abstract: Understanding generalization in deep neural networks is an active area of research. A promising avenue of exploration has been that of margin measurements: the shortest distance to the decision boundary for a given sample or its representation internal to th...	[ 25190 ]	Validation
22,694	16	Title: Team DETR: Guide Queries as a Professional Team in Detection Transformers Abstract: Recent proposed DETR variants have made tremendous progress in various scenarios due to their streamlined processes and remarkable performance. However, the learned queries usually explore the global context to generate the final...	[]	Train
22,695	4	Title: Analysis of the LockBit 3.0 and its infiltration into Advanced's infrastructure crippling NHS services Abstract: The LockBit 3.0 ransomware variant is arguably the most threatening of malware in recent times. With no regard for a victim's industry, the ransomware has undergone several evolutions to arrive at an ...	[]	Train
22,696	24	Title: Unsupervised anomaly detection algorithms on real-world data: how many do we need? Abstract: In this study we evaluate 32 unsupervised anomaly detection algorithms on 52 real-world multivariate tabular datasets, performing the largest comparison of unsupervised anomaly detection algorithms to date. On this colle...	[]	Train
22,697	16	Title: FCB-SwinV2 Transformer for Polyp Segmentation Abstract: Polyp segmentation within colonoscopy video frames using deep learning models has the potential to automate the workflow of clinicians. This could help improve the early detection rate and characterization of polyps which could progress to colorectal cancer...	[]	Train
22,698	23	Title: A Query Language for Software Architecture Information (Extended version) Abstract: Software maintenance is an important part of a software system's life cycle. Maintenance tasks of existing software systems suffer from architecture information that is diverging over time (architectural drift). The Digital Archi...	[]	Validation
22,699	4	Title: Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools Abstract: Provenance-Based Endpoint Detection and Response (P-EDR) systems are deemed crucial for future APT defenses. Despite the fact that numerous new techniques to improve P-EDR systems have been proposed in a...	[]	Validation
22,700	24	Title: FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Abstract: Federated Learning (FL) is a machine learning paradigm that safeguards privacy by retaining client data on edge devices. However, optimizing FL in practice can be challenging due to the diverse and heteroge...	[]	Test
22,701	30	Title: Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond Abstract: Is the output softmax layer, which is adopted by most language models (LMs), always the best way to compute the next word probability? Given so many attention layer...	[ 11616, 17049, 30244, 709 ]	Train
22,702	16	Title: How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? Abstract: An accurate trajectory prediction is crucial for safe and efficient autonomous driving in complex traffic environments. In recent years, artificial intelligence has shown strong capabilities in improving prediction ac...	[ 18283 ]	Test
22,703	6	Title: A framework for leveraging ChatGPT on programming tasks in energy systems Abstract: The rapid digitalization of energy sectors has led to a significant increase in coding tasks for engineers and researchers. This research article explores the potential of leveraging ChatGPT, an advanced AI language model, to rev...	[]	Train
22,704	24	Title: Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery Abstract: We propose a new parameter-adaptive uncertainty-penalized Bayesian information criterion (UBIC) to prioritize the parsimonious partial differential equation (PDE) that sufficiently governs noisy spatial-temporal observed data wit...	[]	Validation
22,705	4	Title: Shackled: a 3D Rendering Engine Programmed Entirely in Ethereum Smart Contracts Abstract: nan	[]	Train
22,706	30	Title: IDAS: Intent Discovery with Abstractive Summarization Abstract: Intent discovery is the task of inferring latent intents from a set of unlabeled utterances, and is a useful step towards the efficient creation of new conversational agents. We show that recent competitive methods in intent discovery can be outperf...	[ 4073 ]	Validation
22,707	4	Title: Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums Abstract: This paper proposes a machine learning-based approach for detecting the exploitation of vulnerabilities in the wild by monitoring underground hacking forums. The increasing volume of posts discussing exploitation...	[]	Train
22,708	24	Title: Regret Guarantees for Adversarial Online Collaborative Filtering Abstract: We investigate the problem of online collaborative filtering under no-repetition constraints, whereby users need to be served content in an online fashion and a given user cannot be recommended the same content item more than once. We des...	[]	Test
22,709	27	Title: A survey on real-time 3D scene reconstruction with SLAM methods in embedded systems Abstract: The 3D reconstruction of simultaneous localization and mapping (SLAM) is an important topic in the field for transport systems such as drones, service robots and mobile AR/VR devices. Compared to a point cloud represent...	[]	Train
22,710	24	Title: centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation Abstract: Unsupervised Domain Adaptation (UDA) approaches address the covariate shift problem by minimizing the distribution discrepancy between the source and target domains, assuming th...	[]	Train
22,711	16	Title: Adaptive Cross Batch Normalization for Metric Learning Abstract: Metric learning is a fundamental problem in computer vision whereby a model is trained to learn a semantically useful embedding space via ranking losses. Traditionally, the effectiveness of a ranking loss depends on the minibatch size, and is, ther...	[]	Train
22,712	33	Title: Regular Separability in Büchi VASS Abstract: We study the ($\omega$-)regular separability problem for B\"uchi VASS languages: Given two B\"uchi VASS with languages $L_1$ and $L_2$, check whether there is a regular language that fully contains $L_1$ while remaining disjoint from $L_2$. We show that the problem is...	[ 44877, 1725 ]	Train
22,713	16	Title: On the Challenges and Perspectives of Foundation Models for Medical Image Analysis Abstract: This article discusses the opportunities, applications and future directions of large-scale pre-trained models, i.e., foundation models, for analyzing medical images. Medical foundation models have immense potential in s...	[ 10624, 20386, 4643, 13700, 42022, 5864, 18777, 29646, 13564, 29396, 44854, 24756, 3609, 5852, 381 ]	Test
22,714	27	Title: Active Collaborative Localization in Heterogeneous Robot Teams Abstract: Accurate and robust state estimation is critical for autonomous navigation of robot teams. This task is especially challenging for large groups of size, weight, and power (SWAP) constrained aerial robots operating in perceptually-degraded G...	[ 33376, 15555 ]	Train
22,715	30	Title: FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy Abstract: Measuring the distance between machine-produced and human language is a critical open problem. Inspired by empirical findings from psycholinguistics on the periodicity of entropy in language, we propose FACE, a set of m...	[]	Train
22,716	10	Title: Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten Abstract: The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows ...	[ 45593, 17482, 21819, 23196 ]	Train
22,717	6	Title: Sparkling Silence: Practices and Challenges of Livestreaming Among Deaf or Hard of Hearing Streamers Abstract: Understanding livestream platforms’ accessibility challenges for minority groups, such as people with disabilities, is critical to increasing the diversity and inclusion of those platforms. While prior ...	[]	Train
22,718	4	Title: LinkDID: A Privacy-Preserving, Sybil-Resistant and Key-Recoverable Decentralized Identity Scheme Abstract: Decentralized identity mechanisms endeavor to endow users with complete sovereignty over their digital assets within the Web3 ecosystem. Unfortunately, this benefit frequently comes at the expense of users'...	[]	Validation
22,719	16	Title: Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain Abstract: Deep neural networks (DNNs) may suffer from significantly degenerated performance when the training and test data are of different underlying distributions. Despite the importance of model generalization to o...	[]	Validation
22,720	30	Title: RuSentNE-2023: Evaluating Entity-Oriented Sentiment Analysis on Russian News Texts Abstract: The paper describes the RuSentNE-2023 evaluation devoted to targeted sentiment analysis in Russian news texts. The task is to predict sentiment towards a named entity in a single sentence. The dataset for RuSentNE-2023 e...	[ 20885 ]	Validation
22,721	13	Title: Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms Abstract: Empirical data plays an important role in evolutionary computation research. To make better use of the available data, ontologies have been proposed in the literature to organize their storage in a structured way. Howe...	[ 42897 ]	Train
22,722	30	Title: I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors Abstract: Visual metaphors are powerful rhetorical devices used to persuade or communicate creative ideas through images. Similar to linguistic metaphors, they convey meaning implicitly through symbolism and juxtaposition of ...	[ 27457, 15278, 21551, 2742, 37979 ]	Validation
22,723	10	Title: Guided Bottom-Up Interactive Constraint Acquisition Abstract: Constraint Acquisition (CA) systems can be used to assist in the modeling of constraint satisfaction problems. In (inter)active CA, the system is given a set of candidate constraints and posts queries to the user with the goal of finding the right con...	[]	Train
22,724	27	Title: Sketching Robot Programs On the Fly Abstract: Service robots for personal use in the home and the workplace require end-user development solutions for swiftly scripting robot tasks as the need arises. Many existing solutions preserve ease, efficiency, and convenience through simple programming interfaces or by r...	[]	Train
22,725	30	Title: Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section Abstract: We propose a data-driven framework to select clinical note sections with high predictive power.	[]	Test
22,726	23	Title: Challenges of Testing an Evolving Cancer Registration Support System in Practice Abstract: The Cancer Registry of Norway (CRN) is a public body responsible for capturing and curating cancer patient data histories to provide a unified access to research data and statistics for doctors, patients, and policymakers....	[ 41722, 30126 ]	Train
22,727	31	Title: IncDSI: Incrementally Updatable Document Retrieval Abstract: Differentiable Search Index is a recently proposed paradigm for document retrieval, that encodes information about a corpus of documents within the parameters of a neural network and directly maps queries to corresponding documents. These models have a...	[]	Train
22,728	7	Title: Two-scale data-driven design for heat manipulation Abstract: Data-driven methods have gained increasing attention in computational mechanics and design. This study investigates a two-scale data-driven design for thermal metamaterials with various functionalities. To address the complexity of multiscale design, t...	[]	Test
22,729	27	Title: In-Hand Cube Reconfiguration: Simplified Abstract: We present a simple approach to in-hand cube reconfiguration. By simplifying planning, control, and perception as much as possible, while maintaining robust and general performance, we gain insights into the inherent complexity of in-hand cube reconfiguration. W...	[ 20240, 5382 ]	Train
22,730	28	Title: Minimal Linear Codes Constructed from hierarchical posets with two levels Abstract: J. Y. Hyun, et al. (Des. Codes Cryptogr., vol. 88, pp. 2475-2492, 2020) constructed some optimal and minimal binary linear codes generated by one or two order ideals in hierarchical posets of two levels. At the end of their paper...	[]	Train
22,731	16	Title: Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields Abstract: Synthesizing photo-realistic images from a point cloud is challenging because of the sparsity of point cloud representation. Recent Neural Radiance Fields and extensions are proposed to synthesize realistic images from 2D input...	[]	Train
22,732	7	Title: A phase field-based framework for electro-chemo-mechanical fracture: crack-contained electrolytes, chemical reactions and stabilisation Abstract: nan	[]	Train
22,733	34	Title: Fully Dynamic Shortest Path Reporting Against an Adaptive Adversary Abstract: Algebraic data structures are the main subroutine for maintaining distances in fully dynamic graphs in subquadratic time. However, these dynamic algebraic algorithms generally cannot maintain the shortest paths, especially against adap...	[]	Validation
22,734	4	Title: On homomorphic encryption using abelian groups: Classical security analysis Abstract: In [15], Leonardi and Ruiz-Lopez propose an additively homomorphic public key encryption scheme whose security is expected to depend on the hardness of the learning homomorphism with noise problem (LHN). Choosing parameters for...	[]	Train
22,735	10	Title: Securing IoT Communication using Physical Sensor Data - Graph Layer Security with Federated Multi-Agent Deep Reinforcement Learning Abstract: Internet-of-Things (IoT) devices are often used to transmit physical sensor data over digital wireless channels. Traditional Physical Layer Security (PLS)-based cryptograp...	[]	Train
22,736	30	Title: Decomposing Complex Queries for Tip-of-the-tongue Retrieval Abstract: When re-finding items, users who forget or are uncertain about identifying details often rely on creative strategies for expressing their information needs -- complex queries that describe content elements (e.g., book characters or events), in...	[ 12603 ]	Train
22,737	6	Title: Thought Bubbles: A Proxy into Players’ Mental Model Development Abstract: Studying mental models has recently received more attention, aiming to understand the cognitive aspects of human-computer interaction. However, there is not enough research on the elicitation of mental models in complex dynamic systems. We...	[]	Train
22,738	24	Title: Momentum Benefits Non-IID Federated Learning Simply and Provably Abstract: Federated learning is a powerful paradigm for large-scale machine learning, but it faces significant challenges due to unreliable network connections, slow communication, and substantial data heterogeneity across clients. FedAvg and SCAFF...	[ 7617, 36857, 46089 ]	Train
22,739	3	Title: A shape-based heuristic for the detection of urban block artifacts in street networks Abstract: Street networks are ubiquitous components of cities, guiding their development and enabling movement from place to place; street networks are also the critical components of many urban analytical methods. However, the...	[]	Test
22,740	16	Title: Neural Image Re-Exposure Abstract: The shutter strategy applied to the photo-shooting process has a significant influence on the quality of the captured photograph. An improper shutter may lead to a blurry image, video discontinuity, or rolling shutter artifact. Existing works try to provide an independent solut...	[]	Train
22,741	16	Title: SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image Abstract: Recent novel view synthesis methods obtain promising results for relatively small scenes, e.g., indoor environments and scenes with a few objects, but tend to fail for unbounded outdoor s...	[ 2865 ]	Train
22,742	20	Title: Scenic Routes with Weighted Points in 2D Abstract: In a given 2D space, we can have points with different levels of importance. One would prefer viewing those points from a closer/farther position per their level of importance. A point in 2D from where the user can view two given points per his/her preference of...	[ 1908 ]	Train
22,743	4	Title: Planning Distributed Security Operations Centers in Multi-Cloud Landscapes: A Case Study Abstract: We present a case study on the strategic planning of a security operations center in a typical, modern, mid-size organization. Against the backdrop of the company's multi-cloud strategy a distributed approach envis...	[]	Validation
22,744	24	Title: Deep Learning in Healthcare: An In-Depth Analysis Abstract: Deep learning (DL) along with never-ending advancements in computational processing and cloud technologies have bestowed us powerful analyzing tools and techniques in the past decade and enabled us to use and apply them in various fields of study. Healt...	[]	Validation
22,745	20	Title: Line-Constrained k-Semi-Obnoxious Facility Location Abstract: Suppose we are given a set $\cal B$ of blue points and a set $\cal R$ of red points, all lying above a horizontal line $\ell$, in the plane. Let the weight of a given point $p_i\in {\cal B}\cup{\cal R}$ be $w_i>0$ if $p_i\in {\cal B}$ and $w_i<0$ if $...	[]	Train
22,746	16	Title: Scale Matters: Attribution Meets the Wavelet Domain to Explain Model Sensitivity to Image Corruptions Abstract: Neural networks have shown remarkable performance in computer vision, but their deployment in real-world scenarios is challenging due to their sensitivity to image corruptions. Existing attribution met...	[ 37887 ]	Test
22,747	3	Title: Generation of Probabilistic Synthetic Data for Serious Games: A Case Study on Cyberbullying Abstract: Synthetic data generation has been a growing area of research in recent years. However, its potential applications in serious games have not been thoroughly explored. Advances in this field could anticipate data...	[]	Test
22,748	24	Title: Regularizing Towards Soft Equivariance Under Mixed Symmetries Abstract: Datasets often have their intrinsic symmetries, and particular deep-learning models called equivariant or invariant models have been developed to exploit these symmetries. However, if some or all of these symmetries are only approximate, whi...	[]	Validation
22,749	30	Title: Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization Abstract: Recent months have seen the emergence of a powerful new trend in which large language models (LLMs) are augmented to become autonomous language agents capable of performing objective oriented multi-step tasks on their ow...	[ 18306, 19492, 33477, 16556, 634, 17789, 12606 ]	Train
22,750	24	Title: Enhancing Pattern Classification in Support Vector Machines through Matrix Formulation Abstract: Support Vector Machines (SVM) have gathered significant acclaim as classifiers due to their successful implementation of Statistical Learning Theory. However, in the context of multiclass and multilabel settings, the...	[]	Validation
22,751	27	Title: Hierarchical Visual Localization Based on Sparse Feature Pyramid for Adaptive Reduction of Keypoint Map Size Abstract: Visual localization is a fundamental task for a wide range of applications in the field of robotics. Yet, it is still a complex problem with no universal solution, and the existing approaches ar...	[]	Validation
22,752	28	Title: Unrolled Architectures for High-Throughput Encoding of Multi-Kernel Polar Codes Abstract: Over the past decade, polar codes have received significant traction and have been selected as the coding method for the control channel in fifth-generation (5G) wireless communication systems. However, conventional polar c...	[ 16057, 14029 ]	Validation
22,753	24	Title: Finding Competence Regions in Domain Generalization Abstract: We investigate a"learning to reject"framework to address the problem of silent failures in Domain Generalization (DG), where the test distribution differs from the training distribution. Assuming a mild distribution shift, we wish to accept out-of-dis...	[ 5651 ]	Validation
22,754	2	Title: Formal Verification of Chase-Lev Deque in Concurrent Separation Logic Abstract: Chase-Lev deque is a concurrent data structure designed for efficient load balancing in multiprocessor scheduling. It employs a work-stealing strategy, where each thread possesses its own work-stealing deque to store tasks, and idle ...	[]	Test
22,755	4	Title: Keep your Identity Small: Privacy-preserving Client-side Fingerprinting Abstract: Device fingerprinting is a widely used technique that allows a third party to identify a particular device. Applications of device fingerprinting include authentication, attacker identification, or software license binding. Device ...	[]	Train
22,756	8	Title: Resolving the Decreased Rank Attack in RPL's IoT Networks Abstract: The Routing Protocol for Low power and Lossy networks (RPL) has been developed by the Internet Engineering Task Force (IETF) standardization body to serve as a part of the 6LoWPAN (IPv6 over Low-Power Wireless Personal Area Networks) standard, a...	[ 43362 ]	Train
22,757	16	Title: Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves Abstract: Formula-driven supervised learning (FDSL) has been shown to be an effective method for pre-training vision transformers, where ExFractalDB-21k was shown to exceed the pre-training effect of ImageNet-21k. These studies also indicate th...	[ 45151 ]	Train
22,758	24	Title: Evolving Computation Graphs Abstract: Graph neural networks (GNNs) have demonstrated success in modeling relational data, especially for data that exhibits homophily: when a connection between nodes tends to imply that they belong to the same class. However, while this assumption is true in many relevant situati...	[]	Test
22,759	30	Title: Learning Ambiguity from Crowd Sequential Annotations Abstract: Most crowdsourcing learning methods treat disagreement be- tween annotators as noisy labelings while inter-disagreement among experts is often a good indicator for the ambiguity and uncertainty that is inherent in natural language. In this paper, we ...	[]	Validation
22,760	16	Title: A Diffusion-based Method for Multi-turn Compositional Image Generation Abstract: Multi-turn compositional image generation (M-CIG) is a challenging task that aims to iteratively manipulate a reference image given a modification text. While most of the existing methods for M-CIG are based on generative adversaria...	[ 20906 ]	Validation
22,761	24	Title: Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality Abstract: A novel Policy Gradient (PG) algorithm, called Matryoshka Policy Gradient (MPG), is introduced and studied, in the context of max-entropy reinforcement learning, where an agent aims at maximising entropy bonuses ad...	[]	Train
22,762	30	Title: FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction Abstract: The recent advent of self-supervised pre-training techniques has led to a surge in the use of multimodal learning in form document understanding. However, existing approaches that extend the mask language modeling...	[ 3228 ]	Train
22,763	24	Title: Area-norm COBRA on Conditional Survival Prediction Abstract: The paper explores a different variation of combined regression strategy to calculate the conditional survival function. We use regression based weak learners to create the proposed ensemble technique. The proposed combined regression strategy uses pro...	[]	Train
22,764	10	Title: Behavioral estimates of conceptual structure are robust across tasks in humans but not large language models Abstract: Neural network models of language have long been used as a tool for developing hypotheses about conceptual representation in the mind and brain. For many years, such use involved extracting vect...	[ 14009 ]	Test
22,765	24	Title: Energy-based Out-of-Distribution Detection for Graph Neural Networks Abstract: Learning on graphs, where instance nodes are inter-connected, has become one of the central problems for deep learning, as relational structures are pervasive and induce data inter-dependence which hinders trivial adaptation of existi...	[ 44836, 21982, 4486, 7564, 16915, 1758, 12447 ]	Train
22,766	2	Title: How can we prove that a proof search method is not an instance of another? Abstract: We introduce a method to prove that a proof search method is not an instance of another. As an example of application, we show that Polarized resolution modulo, a method that mixes clause selection restrictions and literal selec...	[]	Test
22,767	16	Title: CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP Abstract: Contrastive Language-Image Pre-training (CLIP) achieves promising results in 2D zero-shot and few-shot learning. Despite the impressive performance in 2D, applying CLIP to help the learning in 3D scene understanding has yet to be explor...	[ 23713, 18267, 32995, 17700, 7685, 9606, 19204, 42986, 6379, 32662, 30874, 4443, 36828 ]	Validation
22,768	24	Title: Time-sensitive Learning for Heterogeneous Federated Edge Intelligence Abstract: Real-time machine learning has recently attracted significant interest due to its potential to support instantaneous learning, adaptation, and decision making in a wide range of application domains, including self-driving vehicles, i...	[ 26018, 35186 ]	Train
22,769	24	Title: Graph Propagation Transformer for Graph Representation Learning Abstract: This paper presents a novel transformer architecture for graph representation learning. The core insight of our method is to fully consider the information propagation among nodes and edges in a graph when building the attention module in ...	[]	Train
22,770	24	Title: biquality-learn: a Python library for Biquality Learning Abstract: The democratization of Data Mining has been widely successful thanks in part to powerful and easy-to-use Machine Learning libraries. These libraries have been particularly tailored to tackle Supervised Learning. However, strong supervision signal...	[]	Train
22,771	6	Title: Deep Breath: A Machine Learning Browser Extension to Tackle Online Misinformation Abstract: Over the past decade, the media landscape has seen a radical shift. As more of the public stay informed of current events via online sources, competition has grown as outlets vie for attention. This competition has prompt...	[]	Train
22,772	30	Title: Huatuo-26M, a Large-scale Chinese Medical QA Dataset Abstract: In this paper, we release a largest ever medical Question Answering (QA) dataset with 26 million QA pairs. We benchmark many existing approaches in our dataset in terms of both retrieval and generation. Experimental results show that the existing mod...	[ 32184, 31012, 2102 ]	Train
22,773	10	Title: Fuzzy Approach for Audio-Video Emotion Recognition in Computer Games for Children Abstract: Computer games are widespread nowadays and enjoyed by people of all ages. But when it comes to kids, playing these games can be more than just fun, it is a way for them to develop important skills and build emotional inte...	[]	Train
22,774	24	Title: FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values Abstract: Algorithmic fairness is of utmost societal importance, yet the current trend in large-scale machine learning models requires training with massive datasets that are typically biased. In this context, pre-processing ...	[]	Train
22,775	23	Title: What are the Machine Learning best practices reported by practitioners on Stack Exchange? Abstract: Machine Learning (ML) is being used in multiple disciplines due to its powerful capability to infer relationships within data. In particular, Software Engineering (SE) is one of those disciplines in which ML has b...	[ 36554, 5867 ]	Train
22,776	31	Title: Hybrid moderation in the newsroom: Recommending featured posts to content moderators Abstract: Online news outlets are grappling with the moderation of user-generated content within their comment section. We present a recommender system based on ranking class probabilities to support and empower the moderator in...	[]	Train
22,777	16	Title: Codesign of Edge Intelligence and Automated Guided Vehicle Control Abstract: This work presents a harmonic design of autonomous guided vehicle (AGV) control, edge intelligence, and human input to enable autonomous transportation in industrial environments. The AGV has the capability to navigate between a source ...	[]	Train

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