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
39,178	38	Title: Bravo MaRDI: A Wikibase Powered Knowledge Graph on Mathematics Abstract: Mathematical world knowledge is a fundamental component of Wikidata. However, to date, no expertly curated knowledge graph has focused specifically on contemporary mathematics. Addressing this gap, the Mathematical Research Data Initiative ...	[]	Train
39,179	24	Title: Using Machine Learning to Develop Smart Reflex Testing Protocols Abstract: Objective: Reflex testing protocols allow clinical laboratories to perform second line diagnostic tests on existing specimens based on the results of initially ordered tests. Reflex testing can support optimal clinical laboratory test ord...	[]	Validation
39,180	27	Title: Cherry-Picking with Reinforcement Learning Abstract: Grasping small objects surrounded by unstable or non-rigid material plays a crucial role in applications such as surgery, harvesting, construction, disaster recovery, and assisted feeding. This task is especially difficult when fine manipulation is required in...	[]	Test
39,181	30	Title: SemEval-2023 Task 6: LegalEval - Understanding Legal Texts Abstract: In populous countries, pending legal cases have been growing exponentially. There is a need for developing NLP-based techniques for processing and automatically understanding legal documents. To promote research in the area of Legal NLP we orga...	[ 25621 ]	Train
39,182	16	Title: Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification Abstract: Palmprint as biometrics has gained increasing attention recently due to its discriminative ability and robustness. However, existing methods mainly improve palmprint verification within one spectrum, which is challenging t...	[]	Validation
39,183	24	Title: Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design Abstract: Computational Intelligence (CI) techniques have shown great potential as a surrogate model of expensive physics simulation, with demonstrated ability to make fast predictions, albeit at the expense of accuracy in some...	[]	Train
39,184	24	Title: It begins with a boundary: A geometric view on probabilistically robust learning Abstract: Although deep neural networks have achieved super-human performance on many classification tasks, they often exhibit a worrying lack of robustness towards adversarially generated examples. Thus, considerable effort has bee...	[ 30819 ]	Test
39,185	13	Title: Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network Abstract: Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial neural networks, due to their event-driven spiking computation. However, state-of-the-art deep SNNs (including Spikforme...	[ 36040, 28138, 27662, 45557, 27195 ]	Test
39,186	27	Title: Using Intent Estimation and Decision Theory to Support Lifting Motions with a Quasi-Passive Hip Exoskeleton Abstract: This paper compares three controllers for quasi-passive exoskeletons. The Utility Maximizing Controller (UMC) uses intent estimation to recognize user motions and decision theory to activate the ...	[]	Train
39,187	16	Title: Canonical Factors for Hybrid Neural Fields Abstract: Factored feature volumes offer a simple way to build more compact, efficient, and intepretable neural fields, but also introduce biases that are not necessarily beneficial for real-world data. In this work, we (1) characterize the undesirable biases that these...	[]	Train
39,188	23	Title: Model-Driven Quantum Federated Learning (QFL) Abstract: Recently, several studies have proposed frameworks for Quantum Federated Learning (QFL). For instance, the Google TensorFlow Quantum (TFQ) and TensorFlow Federated (TFF) libraries have been deployed for realizing QFL. However, developers, in the main, are n...	[]	Train
39,189	16	Title: Planar Object Tracking via Weighted Optical Flow Abstract: We propose WOFT – a novel method for planar object tracking that estimates a full 8 degrees-of-freedom pose, i.e. the homography w.r.t. a reference view. The method uses a novel module that leverages dense optical flow and assigns a weight to each optica...	[ 22972, 3005 ]	Validation
39,190	16	Title: Differentially Private Cross-camera Person Re-identification Abstract: Camera-based person re-identification is a heavily privacy-invading task by design, benefiting from rich visual data to match together person representations across different cameras. This high-dimensional data can then easily be used for oth...	[]	Validation
39,191	31	Title: BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval Abstract: Dense retrieval has shown promise in the first-stage retrieval process when trained on in-domain labeled datasets. However, previous studies have found that dense retrieval is ha...	[]	Train
39,192	30	Title: Adapting Multilingual Speech Representation Model for a New, Underresourced Language through Multilingual Fine-tuning and Continued Pretraining Abstract: nan	[ 3827, 35948, 30446, 44679 ]	Train
39,193	24	Title: Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis Abstract: Local authorities in England, such as Leicestershire County Council (LCC), provide Early Help services that can be offered at any point in a young person's life when they experience difficulties that cannot b...	[]	Train
39,194	7	Title: Uncertainty benchmarks for time-dependent transport problems Abstract: Uncertainty quantification results are presented for a well known verification solution, the time dependent transport infinite plane pulse. The method of polynomial chaos expansions (PCE) is employed for quick and accurate calculation of the ...	[]	Validation
39,195	7	Title: Advanced discretization techniques for hyperelastic physics-augmented neural networks Abstract: In the present work, advanced spatial and temporal discretization techniques are tailored to hyperelastic physics-augmented neural networks, i.e., neural network based constitutive models which fulfill all relevant me...	[ 8488, 40976, 42334 ]	Train
39,196	16	Title: Learning from Multi-View Representation for Point-Cloud Pre-Training Abstract: A critical problem in the pre-training of 3D point clouds is leveraging massive 2D data. A fundamental challenge is to address the 2D-3D domain gap. This paper proposes a novel approach to point-cloud pre-training that enables learnin...	[ 15481, 4643, 13700 ]	Test
39,197	2	Title: Shades of Iteration: from Elgot to Kleene Abstract: Notions of iteration range from the arguably most general Elgot iteration to a very specific Kleene iteration. The fundamental nature of Elgot iteration has been extensively explored by Bloom and Esik in the form of iteration theories, while Kleene iteration be...	[]	Train
39,198	16	Title: Unbiased Face Synthesis With Diffusion Models: Are We There Yet? Abstract: Text-to-image diffusion models have achieved widespread popularity due to their unprecedented image generation capability. In particular, their ability to synthesize and modify human faces has spurred research into using generated face im...	[]	Test
39,199	16	Title: Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images Abstract: Colorectal cancer (CRC) molecular subtypes play a crucial role in determining treatment options. Immunotherapy is effective for the microsatellite instability (MSI) subtype of CRC, b...	[ 17689 ]	Validation
39,200	3	Title: Learning Roles with Emergent Social Value Orientations Abstract: Social dilemmas can be considered situations where individual rationality leads to collective irrationality. The multi-agent reinforcement learning community has leveraged ideas from social science, such as social value orientations (SVO), to solve...	[ 21893 ]	Test
39,201	24	Title: Deep learning based ECG segmentation for delineation of diverse arrhythmias Abstract: Accurate delineation of key waveforms in an ECG is a critical initial step in extracting relevant features to support the diagnosis and treatment of heart conditions. Although deep learning based methods using a segmentation mo...	[]	Train
39,202	16	Title: Automatic Generation of Semantic Parts for Face Image Synthesis Abstract: Semantic image synthesis (SIS) refers to the problem of generating realistic imagery given a semantic segmentation mask that defines the spatial layout of object classes. Most of the approaches in the literature, other than the quality of ...	[]	Train
39,203	24	Title: Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation Abstract: The eco-toll estimation problem quantifies the expected environmental cost (e.g., energy consumption, exhaust emissions) for a vehicle to travel along a path. This problem is important for societal applications such as eco-routing, whi...	[]	Train
39,204	10	Title: Learning Rational Subgoals from Demonstrations and Instructions Abstract: We present a framework for learning useful subgoals that support efficient long-term planning to achieve novel goals. At the core of our framework is a collection of rational subgoals (RSGs), which are essentially binary classifiers over t...	[]	Test
39,205	24	Title: An axiomatized PDE model of deep neural networks Abstract: Inspired by the relation between deep neural network (DNN) and partial differential equations (PDEs), we study the general form of the PDE models of deep neural networks. To achieve this goal, we formulate DNN as an evolution operator from a simple base ...	[]	Train
39,206	24	Title: DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning Abstract: Online Class-Incremental (OCI) learning has sparked new approaches to expand the previously trained model knowledge from sequentially arriving data streams with new classes. Unfortunately, OCI learning can suff...	[]	Test
39,207	16	Title: MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes Abstract: Polygonal meshes have become the standard for discretely approximating 3D shapes, thanks to their efficiency and high flexibility in capturing non-uniform shapes. This non-uniformity, however, leads to irregularity in the mesh structure, m...	[]	Train
39,208	10	Title: Guessing Winning Policies in LTL Synthesis by Semantic Learning Abstract: We provide a learning-based technique for guessing a winning strategy in a parity game originating from an LTL synthesis problem. A cheaply obtained guess can be useful in several applications. Not only can the guessed strategy be applied ...	[ 33896 ]	Train
39,209	31	Title: Jean-Luc Picard at Touché 2023: Comparing Image Generation, Stance Detection and Feature Matching for Image Retrieval for Arguments Abstract: Participating in the shared task"Image Retrieval for arguments", we used different pipelines for image retrieval containing Image Generation, Stance Detection, Preselectio...	[]	Test
39,210	16	Title: pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems Abstract: Nearest neighbor (NN) sampling provides more semantic variations than pre-defined transformations for self-supervised learning (SSL) based image recognition problems. However, its perfor...	[ 11273, 19410, 25561 ]	Train
39,211	30	Title: Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models Abstract: Large pre-trained language models (PLMs) have demonstrated strong performance on natural language understanding (NLU) tasks through fine-tuning. However, fine-tuned models still suffer from overconfident predictions, especially ...	[ 3740, 35901 ]	Train
39,212	16	Title: Towards Generalizable Deepfake Detection by Primary Region Regularization Abstract: The existing deepfake detection methods have reached a bottleneck in generalizing to unseen forgeries and manipulation approaches. Based on the observation that the deepfake detectors exhibit a preference for overfitting the spec...	[ 1291 ]	Train
39,213	16	Title: DeNISE: Deep Networks for Improved Segmentation Edges Abstract: nan	[]	Train
39,214	30	Title: MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization Abstract: Memes are a powerful tool for communication over social media. Their affinity for evolving across politics, history, and sociocultural phenomena renders them an ideal vehicle for communication. To comprehend the su...	[ 8535 ]	Validation
39,215	27	Title: Asservissement visuel 3D direct dans le domaine spectral Abstract: This paper presents a direct 3D visual servo scheme for the automatic alignment of point clouds (respectively, objects) using visual information in the spectral domain. Specifically, we propose an alignment method for 3D models/point clouds that ...	[]	Test
39,216	37	Title: SGMFQP: An Ontology-based Swine Gut Microbiota Federated Query Platform Abstract: Gut microbiota plays a crucial role in modulating pig development and health, and gut microbiota characteristics are associated with differences in feed efficiency. To answer open questions in feed efficiency analysis, biologists s...	[]	Train
39,217	24	Title: Label-Free Concept Bottleneck Models Abstract: Concept bottleneck models (CBM) are a popular way of creating more interpretable neural networks by having hidden layer neurons correspond to human-understandable concepts. However, existing CBMs and their variants have two crucial limitations: first, they need to c...	[ 43680, 23494, 9323, 8980, 11933, 14271 ]	Train
39,218	4	Title: SATBA: An Invisible Backdoor Attack Based On Spatial Attention Abstract: Backdoor attacks pose a new and emerging threat to AI security, where Deep Neural Networks (DNNs) are trained on datasets added to hidden trigger patterns. Although the poisoned model behaves normally on benign samples, it produces anomalou...	[]	Validation
39,219	27	Title: A Survey on Task Allocation and Scheduling in Robotic Network Systems Abstract: Cloud Robotics is helping to create a new generation of robots that leverage the nearly unlimited resources of large data centers (i.e., the cloud), overcoming the limitations imposed by on-board resources. Different processing power...	[]	Train
39,220	24	Title: A Protocol for Continual Explanation of SHAP Abstract: Continual Learning trains models on a stream of data, with the aim of learning new information without forgetting previous knowledge. Given the dynamic nature of such environments, explaining the predictions of these models can be challenging. We study the b...	[ 21104, 4681 ]	Test
39,221	4	Title: Lost at Sea: Assessment and Evaluation of Rootkit Attacks on Shipboard Microgrids Abstract: Increased dependence of the maritime industry on information and communication networks has made shipboard power systems vulnerable to stealthy cyber-attacks. One such attack variant, called rootkit, can leverage system k...	[ 44234 ]	Test
39,222	26	Title: Selecting a suitable Parallel Label-propagation based algorithm for Disjoint Community Detection Abstract: Community detection is an essential task in network analysis as it helps identify groups and patterns within a network. High-speed community detection algorithms are necessary to ana-lyze large-scale networ...	[]	Train
39,223	34	Title: Prophet Inequalities: Separating Random Order from Order Selection Abstract: Prophet inequalities are a central object of study in optimal stopping theory. A gambler is sent values online, sampled from an instance of independent distributions, in an adversarial, random or selected order, depending on the model. ...	[ 5712 ]	Train
39,224	4	Title: A Novel Pseudo-Random Number Generator Based on Multi-Objective Optimization for Image-Cryptographic Applications Abstract: Pseudo-random number generators (PRNGs) play an important role to ensure the security and confidentiality of image cryptographic algorithms. Their primary function is to generate a sequence...	[]	Train
39,225	30	Title: Large Language Models as Sous Chefs: Revising Recipes with GPT-3 Abstract: With their remarkably improved text generation and prompting capabilities, large language models can adapt existing written information into forms that are easier to use and understand. In our work, we focus on recipes as an example of co...	[ 6956, 35580 ]	Test
39,226	2	Title: C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits Abstract: Since the development of semiconductor technologies, exascale computing and its associated applications have required increasing degrees of efficiency. Semiconductor-transistor-based circuits (STbCs) have struggled in increasing the GHz freque...	[ 12811 ]	Validation
39,227	23	Title: Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension Abstract: 3D printing or additive manufacturing is a revolutionary technology that enables the creation of physical objects from digital models. However, the quality and accuracy of 3D...	[ 35392, 32450, 13700, 43566, 41400, 541, 7999 ]	Train
39,228	26	Title: Surname affinity in Santiago, Chile: A network-based approach that uncovers urban segregation Abstract: Based on a geocoded registry of more than four million residents of Santiago, Chile, we build two surname-based networks that reveal the city’s population structure. The first network is formed from paternal a...	[ 45751 ]	Test
39,229	34	Title: Block Crossings in One-Sided Tanglegrams Abstract: Tanglegrams are drawings of two rooted binary phylogenetic trees and a matching between their leaf sets. The trees are drawn crossing-free on opposite sides with their leaf sets facing each other on two vertical lines. Instead of minimizing the number of pairwis...	[]	Validation
39,230	13	Title: Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions Abstract: In a seminal paper in 2013, Witt showed that the (1+1) Evolutionary Algorithm with standard bit mutation needs time (1 + o (1))n ln n/p1 to find the optimum of any linear function, as long as the probability p1 t...	[]	Train
39,231	16	Title: Mesh Strikes Back: Fast and Efficient Human Reconstruction from RGB videos Abstract: Human reconstruction and synthesis from monocular RGB videos is a challenging problem due to clothing, occlusion, texture discontinuities and sharpness, and framespecific pose changes. Many methods employ deferred rendering, NeR...	[]	Train
39,232	16	Title: OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models Abstract: We propose a new method for object pose estimation without CAD models. The previous feature-matching-based method OnePose has shown promising results under a one-shot setting which eliminates the need for CAD models or object-s...	[ 30024, 39465, 31466, 32971, 9932, 8079, 5488, 15029, 28348 ]	Train
39,233	6	Title: Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detection Abstract: Large language models (LLMs) have gained popularity in various fields for their exceptional capability of generating human-like text. Their potential misuse has raised social concerns about plagiarism in ...	[ 3050, 22476, 31857, 33848, 43930, 38235 ]	Train
39,234	8	Title: 6G for Connected Sky: A Vision for Integrating Terrestrial and Non-Terrestrial Networks Abstract: In this paper, we present the vision of our project 6G for Connected Sky (6G-SKY) to integrate terrestrial networks (TNs) and non-terrestrial networks (NTNs) and outline the current research activities in 6G researc...	[]	Validation
39,235	30	Title: Large Language Models are Built-in Autoregressive Search Engines Abstract: Document retrieval is a key stage of standard Web search engines. Existing dual-encoder dense retrievers obtain representations for questions and documents independently, allowing for only shallow interactions between them. To overcome th...	[ 26572, 397, 8231 ]	Test
39,236	27	Title: The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation Abstract: Increasing anthropomorphic robot behavioral design could affect trust and cooperation positively. However, studies have shown contradicting results and suggest a task-dependent relationship between robots that display emoti...	[]	Train
39,237	13	Title: Theoretical Analyses of Evolutionary Algorithms on Time-Linkage OneMax with General Weights Abstract: Evolutionary computation has shown its superiority in dynamic optimization, but for the (dynamic) time-linkage problems, some theoretical studies have revealed the possible weakness of evolutionary computation. ...	[]	Test
39,238	16	Title: Hybrid Feature Embedding For Automatic Building Outline Extraction Abstract: Building outline extracted from high-resolution aerial images can be used in various application fields such as change detection and disaster assessment. However, traditional CNN model cannot recognize contours very precisely from origi...	[]	Train
39,239	25	Title: From Words to Music: A Study of Subword Tokenization Techniques in Symbolic Music Generation Abstract: Subword tokenization has been widely successful in text-based natural language processing (NLP) tasks with Transformer-based models. As Transformer models become increasingly popular in symbolic music-related s...	[ 18777, 11054 ]	Validation
39,240	27	Title: Fully Immersive Virtual Reality for Skull-base Surgery: Surgical Training and Beyond Abstract: PURPOSE A virtual reality (VR) system, where surgeons can practice procedures on virtual anatomies, is a scalable and cost-effective alternative to cadaveric training. The fully digitized virtual surgeries can also be ...	[ 22079 ]	Train
39,241	30	Title: Integrating Bidirectional Long Short-Term Memory with Subword Embedding for Authorship Attribution Abstract: The problem of unveiling the author of a given text document from multiple candidate authors is called authorship attribution. Manifold word-based stylistic markers have been successfully used in deep lea...	[]	Train
39,242	30	Title: Towards dialect-inclusive recognition in a low-resource language: are balanced corpora the answer? Abstract: ASR systems are generally built for the spoken 'standard', and their performance declines for non-standard dialects/varieties. This is a problem for a language like Irish, where there is no single spoken ...	[ 9374 ]	Train
39,243	30	Title: Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance Abstract: Natural language understanding(NLU) is challenging for finance due to the lack of annotated data and the specialized language in that domain. As a result, researchers have proposed to use pre-trained language model and mul...	[ 33530, 25444 ]	Train
39,244	16	Title: CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images Abstract: We present a method for teaching machines to understand and model the underlying spatial common sense of diverse human-object interactions in 3D in a self-supervised way. This is a challenging task, as th...	[ 37254, 12764, 21014 ]	Test
39,245	31	Title: uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering Abstract: Because implicit user feedback for the collaborative filtering (CF) models is biased toward popular items, CF models tend to yield recommendation lists with popularity bias. Previous studies hav...	[ 31085 ]	Train
39,246	5	Title: Massively Parallel Single-Source SimRanks in o(log n) Rounds Abstract: SimRank is one of the most fundamental measures that evaluate the structural similarity between two nodes in a graph and has been applied in a plethora of data management tasks. These tasks often involve single-source SimRank computation that...	[ 37524 ]	Train
39,247	25	Title: Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding Abstract: Spotting user-defined/flexible keywords represented in text frequently uses an expensive text encoder for joint analysis with an audio encoder in an embedding space, which can suffer from heterogeneous modality representation (i.e., la...	[]	Train
39,248	6	Title: Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization Abstract: Designing responsive visualizations for various screen types can be tedious as authors must manage multiple chart~versions across design iterations. Automated approaches for responsive visualization must take into account the user's n...	[]	Train
39,249	16	Title: IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer Abstract: Advanced image tampering techniques are increasingly challenging the trustworthiness of multimedia, leading to the development of Image Manipulation Localization (IML). But what makes a good IML model? The answer lies in the wa...	[]	Train
39,250	16	Title: MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation Abstract: We propose MAMo, a novel memory and attention frame-work for monocular video depth estimation. MAMo can augment and improve any single-image depth estimation networks into video depth estimation models, enabling them to take adv...	[ 8642, 20722, 25107, 33522, 39577, 20278, 2777 ]	Validation
39,251	24	Title: Policy Evaluation in Decentralized POMDPs With Belief Sharing Abstract: Most works on multi-agent reinforcement learning focus on scenarios where the state of the environment is fully observable. In this work, we consider a cooperative policy evaluation task in which agents are not assumed to observe the environ...	[]	Train
39,252	24	Title: Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping Abstract: Correlated time series analysis plays an important role in many real-world industries. Learning an efficient representation of this large-scale data for further downstream tasks is necessary but challenging....	[ 3576, 6753 ]	Train
39,253	24	Title: Mass Spectra Prediction with Structural Motif-based Graph Neural Networks Abstract: Mass spectra, which are agglomerations of ionized fragments from targeted molecules, play a crucial role across various fields for the identification of molecular structures. A prevalent analysis method involves spectral library ...	[ 22256, 23116 ]	Train
39,254	30	Title: Together We Make Sense - Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings Abstract: Sense embedding learning methods learn multiple vectors for a given ambiguous word, corresponding to its different word senses. For this purpose, different methods have been proposed in prior work on sense e...	[ 43689 ]	Train
39,255	28	Title: Uplink Performance of RIS-Aided Cell-Free Massive MIMO System With Electromagnetic Interference Abstract: Cell-free (CF) massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS) are two promising technologies for realizing future beyond-fifth generation (B5G) networks. In this p...	[]	Train
39,256	16	Title: HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion Abstract: Implicit neural fields, typically encoded by a multilayer perceptron (MLP) that maps from coordinates (e.g., xyz) to signals (e.g., signed distances), have shown remarkable promise as a high-fidelity and compact representatio...	[ 3912, 42666, 21324, 21997, 34000, 28436 ]	Train
39,257	16	Title: Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection Abstract: Hateful meme detection is a challenging multimodal task that requires comprehension of both vision and language, as well as cross-modal interactions. Recent studies have tried to fine-tune pre-trained vision-language models (...	[ 10624, 32282, 13700, 38765 ]	Test
39,258	10	Title: A Planning-Based Explainable Collaborative Dialogue System Abstract: Eva is a multimodal conversational system that helps users to accomplish their domain goals through collaborative dialogue. The system does this by inferring users' intentions and plans to achieve those goals, detects whether obstacles are pres...	[ 38002, 3693 ]	Test
39,259	34	Title: Succinct Planar Encoding with Minor Operations Abstract: Let G be an unlabeled planar and simple n -vertex graph. We present a succinct encoding of G that provides induced-minor operations, i.e., edge contraction and vertex deletions. Any sequence of such operations is processed in O ( n ) time. In addition, the...	[]	Train
39,260	24	Title: Unsupervised Embedding Quality Evaluation Abstract: Unsupervised learning has recently significantly gained in popularity, especially with deep learning-based approaches. Despite numerous successes and approaching supervised-level performance on a variety of academic benchmarks, it is still hard to train and eva...	[]	Train
39,261	24	Title: What Is Missing in IRM Training and Evaluation? Challenges and Solutions Abstract: Invariant risk minimization (IRM) has received increasing attention as a way to acquire environment-agnostic data representations and predictions, and as a principled solution for preventing spurious correlations from being learne...	[ 10945, 42865 ]	Test
39,262	16	Title: ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images Abstract: Statistical shape models (SSM) have been well-established as an excellent tool for identifying variations in the morphology of anatomy across the underlying population. Shape models use consistent shape representation across ...	[ 27826, 45475 ]	Test
39,263	16	Title: Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models Abstract: While a large amount of work has focused on designing adversarial attacks against image classifiers, only a few methods exist to attack semantic segmentation models. We show that attacking segmentation models pr...	[ 35323, 22372, 33414 ]	Test
39,264	4	Title: Introducing a New Alert Data Set for Multi-Step Attack Analysis Abstract: Intrusion detection systems (IDS) reinforce cyber defense by autonomously monitoring various data sources for traces of attacks. However, IDSs are also infamous for frequently raising false positives and alerts that are difficult to interp...	[]	Train
39,265	23	Title: Benchmarking Software Vulnerability Detection Techniques: A Survey Abstract: Software vulnerabilities can have serious consequences, which is why many techniques have been proposed to defend against them. Among these, vulnerability detection techniques are a major area of focus. However, there is a lack of a com...	[ 18194, 6301, 37910 ]	Train
39,266	24	Title: Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning Abstract: Sleep stage classification is crucial for detecting patients' health conditions. Existing models, which mainly use Convolutional Neural Networks (CNN) for modelling Euclidean data and Graph Convolution Networks (GNN...	[]	Train
39,267	33	Title: Convergence and Diversity in the Control Hierarchy Abstract: Weir has defined a hierarchy of language classes whose second member (L2) is generated by tree-adjoining grammars (TAG), linear indexed grammars (LIG), combinatory categorial grammars, and head grammars. The hierarchy is obtained using the mechanism of...	[]	Validation
39,268	16	Title: CgT-GAN: CLIP-guided Text GAN for Image Captioning Abstract: The large-scale visual-language pre-trained model, Contrastive Language-Image Pre-training (CLIP), has significantly improved image captioning for scenarios without human-annotated image-caption pairs. Recent advanced CLIP-based image captioning withou...	[ 5744, 30388 ]	Test
39,269	8	Title: TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling Abstract: In future 6G Mobile Edge Computing (MEC), autopilot systems require the capability of processing multimodal data with strong interdependencies. However, traditional heuristic algorithms are inadequate for real-time scheduling due to their...	[]	Train
39,270	24	Title: Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL Abstract: Reinforcement learning agents may sometimes develop habits that are effective only when specific policies are followed. After an initial exploration phase in which agents try out different actions, they eventually converge toward...	[ 14111 ]	Test
39,271	16	Title: Test-time augmentation-based active learning and self-training for label-efficient segmentation Abstract: Deep learning techniques depend on large datasets whose annotation is time-consuming. To reduce annotation burden, the self-training (ST) and active-learning (AL) methods have been developed as well as metho...	[]	Validation
39,272	24	Title: Is Risk-Sensitive Reinforcement Learning Properly Resolved? Abstract: Due to the nature of risk management in learning applicable policies, risk-sensitive reinforcement learning (RSRL) has been realized as an important direction. RSRL is usually achieved by learning risk-sensitive objectives characterized by var...	[]	Train
39,273	30	Title: Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning Abstract: Task semantics can be expressed by a set of input-to-output examples or a piece of textual instruction. Conventional machine learning approaches for natural language processing (NLP) mainly rely on the availability of ...	[ 40192, 13185, 17040, 35607, 45848, 43930, 13345, 25892, 28580, 13224, 13760, 44482, 33220, 42565, 10706, 10964, 12128, 39392, 28905, 15598, 36986 ]	Test
39,274	31	Title: Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis Abstract: Algorithms for approximate nearest-neighbor search (ANNS) have been the topic of significant recent interest in the research community. However, evaluations of such algorithms are usually restricted to a small number o...	[]	Train
39,275	24	Title: L'explicabilité au service de l'extraction de connaissances : application à des données médicales Abstract: The use of machine learning has increased dramatically in the last decade. The lack of transparency is now a limiting factor, which the field of explainability wants to address. Furthermore, one of the cha...	[]	Train
39,276	23	Title: Where and What do Software Architects blog? : An Exploratory Study on Architectural Knowledge in Blogs, and their Relevance to Design Steps Abstract: Software engineers share their architectural knowledge (AK) in different places on the Web. Recent studies show that architectural blogs contain the most relevant ...	[]	Train
39,277	23	Title: Are you cloud-certified? Preparing Computing Undergraduates for Cloud Certification with Experiential Learning Abstract: Cloud Computing skills have been increasing in demand. Many software engineers are learning these skills and taking cloud certification examinations to be job competitive. Preparing undergradu...	[]	Train

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