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
32,478	22	Title: Synthesizing Conjunctive Queries for Code Search Abstract: This paper presents Squid, a new conjunctive query synthesis algorithm for searching code with target patterns. Given positive and negative examples along with a natural language description, Squid analyzes the relations derived from the examples by a Da...	[]	Test
32,479	30	Title: Language-Aware Multilingual Machine Translation with Self-Supervised Learning Abstract: Multilingual machine translation (MMT) benefits from cross-lingual transfer but is a challenging multitask optimization problem. This is partly because there is no clear framework to systematically learn language-specific par...	[ 28367 ]	Test
32,480	30	Title: DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models Abstract: Self-supervised learning (SSL) has achieved notable success in many speech processing tasks, but the large model size and heavy computational cost hinder the deployment. Knowledge distillation trains a small student model to mimi...	[ 476, 46133 ]	Train
32,481	26	Title: LSCPM: communities in massive real-world Link Streams by Clique Percolation Method Abstract: Community detection is a popular approach to understand the organization of interactions in static networks. For that purpose, the Clique Percolation Method (CPM), which involves the percolation of k-cliques, is a well-s...	[]	Test
32,482	16	Title: Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems Abstract: With the development of deep learning technology, the facial manipulation system has become powerful and easy to use. Such systems can modify the attributes of the given facial images, such as hair color, gender, ...	[]	Test
32,483	24	Title: Faster Differentially Private Convex Optimization via Second-Order Methods Abstract: Differentially private (stochastic) gradient descent is the workhorse of DP private machine learning in both the convex and non-convex settings. Without privacy constraints, second-order methods, like Newton's method, converge f...	[ 15495 ]	Train
32,484	24	Title: Federated Learning of Medical Concepts Embedding using BEHRT Abstract: Electronic Health Records (EHR) data contains medical records such as diagnoses, medications, procedures, and treatments of patients. This data is often considered sensitive medical information. Therefore, the EHR data from the medical center...	[]	Train
32,485	17	Title: PMP: Learning to Physically Interact with Environments using Part-wise Motion Priors Abstract: We present a method to animate a character incorporating multiple part-wise motion priors (PMP). While previous works allow creating realistic articulated motions from reference data, the range of motion is largely lim...	[ 38181 ]	Validation
32,486	16	Title: Image Deblurring by Exploring In-depth Properties of Transformer Abstract: Image deblurring continues to achieve impressive performance with the development of generative models. Nonetheless, there still remains a displeasing problem if one wants to improve perceptual quality and quantitative scores of recovered...	[]	Test
32,487	28	Title: Construction of PAC Codes with List-Search and Path-Splitting Critical Sets Abstract: Polarization-adjusted convolutional (PAC) codes can approach the theoretical bound for block error rate (BLER) performance at short-to-medium codeword length. PAC codes have excellent BLER performance using Monte Carlo (MC) rat...	[]	Validation
32,488	5	Title: Porting Batched Iterative Solvers onto Intel GPUs with SYCL Abstract: Batched linear solvers play a vital role in computational sciences, especially in the fields of plasma physics and combustion simulations. With the imminent deployment of the Aurora Supercomputer and other upcoming systems equipped with Intel ...	[]	Train
32,489	16	Title: Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames Abstract: Automatically discovering composable abstractions from raw perceptual data is a long-standing challenge in machine learning. Recent slot-based neural networks that learn about objects in a self-supervised manner have made exc...	[ 25552, 4523, 26620, 3119 ]	Validation
32,490	34	Title: Smoothed Analysis of the 2-Opt Heuristic for the TSP under Gaussian Noise Abstract: The 2-opt heuristic is a very simple local search heuristic for the traveling salesperson problem. In practice it usually converges quickly to solutions within a few percentages of optimality. In contrast to this, its running-tim...	[ 45019 ]	Train
32,491	24	Title: Equivariant Representation Learning in the Presence of Stabilizers Abstract: We introduce Equivariant Isomorphic Networks (EquIN) -- a method for learning representations that are equivariant with respect to general group actions over data. Differently from existing equivariant representation learners, EquIN is ...	[]	Validation
32,492	28	Title: ISAC-NET: Model-driven Deep Learning for Integrated Passive Sensing and Communication Abstract: Recent advances in wireless communication with the enormous demands of sensing ability have given rise to the integrated sensing and communication (ISAC) technology, among which passive sensing plays an important role...	[]	Test
32,493	23	Title: ReuNify: A Step Towards Whole Program Analysis for React Native Android Apps Abstract: React Native is a widely-used open-source framework that facilitates the development of cross-platform mobile apps. The framework enables JavaScript code to interact with native-side code, such as Objective-C/Swift for iOS and...	[ 10257 ]	Train
32,494	31	Title: Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach Abstract: Conversion rate (CVR) prediction is one of the core components in online recommender systems, and various approaches have been proposed to obtain accurate and well-calibrated CVR estimation. However, w...	[ 16935 ]	Train
32,495	24	Title: Read the Signs: Towards Invariance to Gradient Descent's Hyperparameter Initialization Abstract: We propose ActiveLR, an optimization meta algorithm that localizes the learning rate, $\alpha$, and adapts them at each epoch according to whether the gradient at each epoch changes sign or not. This sign-conscious a...	[]	Train
32,496	6	Title: DualStream: Spatially Sharing Selves and Surroundings using Mobile Devices and Augmented Reality Abstract: In-person human interaction relies on our spatial perception of each other and our surroundings. Current remote communication tools partially address each of these aspects. Video calls convey real user repr...	[ 38215 ]	Train
32,497	36	Title: Complexity of Efficient Outcomes in Binary-Action Polymatrix Games with Implications for Coordination Problems Abstract: We investigate the difficulty of finding economically efficient solutions to coordination problems on graphs. Our work focuses on two forms of coordination problem: pure-coordination games and...	[ 23799 ]	Train
32,498	3	Title: The Butterfly Effect in Artificial Intelligence Systems: Implications for AI Bias and Fairness Abstract: The Butterfly Effect, a concept originating from chaos theory, underscores how small changes can have significant and unpredictable impacts on complex systems. In the context of AI fairness and bias, the Butt...	[ 14569, 6067, 16556 ]	Test
32,499	15	Title: Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand Abstract: Mitigating losses from supply and demand volatility in the semiconductor supply chain and market has traditionally been cast as a logistics and forecasting problem. We investigate how the architect...	[]	Validation
32,500	6	Title: Multitasking While Driving: How Drivers Self-Regulate Their Interaction with In-Vehicle Touchscreens in Automated Driving Abstract: Abstract Driver assistance systems are designed to increase comfort and safety by automating parts of the driving task. At the same time, modern in-vehicle information systems with ...	[ 21350, 20718 ]	Train
32,501	10	Title: A Mini Review on the utilization of Reinforcement Learning with OPC UA Abstract: Reinforcement Learning (RL) is a powerful machine learning paradigm that has been applied in various fields such as robotics, natural language processing and game playing achieving state-of-the-art results. Targeted to solve sequent...	[]	Train
32,502	24	Title: Logic Diffusion for Knowledge Graph Reasoning Abstract: Most recent works focus on answering first order logical queries to explore the knowledge graph reasoning via multi-hop logic predictions. However, existing reasoning models are limited by the circumscribed logical paradigms of training samples, which leads...	[]	Validation
32,503	16	Title: A Study on the Generality of Neural Network Structures for Monocular Depth Estimation Abstract: Monocular depth estimation has been widely studied, and significant improvements in performance have been recently reported. However, most previous works are evaluated on a few benchmark datasets, such as KITTI datase...	[ 20093 ]	Test
32,504	31	Title: Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective Abstract: Embedding-based retrieval (EBR) methods are widely used in modern recommender systems thanks to its simplicity and effectiveness. However, along the journey of deploying and iterating on E...	[ 25312 ]	Validation
32,505	16	Title: Multi-scale Alternated Attention Transformer for Generalized Stereo Matching Abstract: Recent stereo matching networks achieves dramatic performance by introducing epipolar line constraint to limit the matching range of dual-view. However, in complicated real-world scenarios, the feature information based on int...	[]	Train
32,506	11	Title: E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Abstract: Identification and analysis of symmetrical patterns in the natural world have led to significant discoveries across various scientific fields, such as the formulation of gravitational laws in physics and advancemen...	[]	Train
32,507	16	Title: Discrete Morphological Neural Networks Abstract: A classical approach to designing binary image operators is Mathematical Morphology (MM). We propose the Discrete Morphological Neural Networks (DMNN) for binary image analysis to represent W-operators and estimate them via machine learning. A DMNN architecture, w...	[]	Train
32,508	37	Title: O\|R\|P\|E - A Data Semantics Driven Concurrency Control Abstract: This paper presents a concurrency control mechanism that does not follow a 'one concurrency control mechanism fits all needs' strategy. With the presented mechanism a transaction runs under several concurrency control mechanisms and the appropriate ...	[]	Train
32,509	10	Title: Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational Inference Abstract: Many downstream inference tasks for knowledge graphs, such as relation prediction, have been handled successfully by knowledge graph embedding techniques in the transductive setting. To address the induct...	[]	Train
32,510	31	Title: An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension Abstract: The consumption of podcast media has been increasing rapidly. Due to the lengthy nature of podcast episodes, users often carefully select which ones to listen to. Although episode descripti...	[]	Train
32,511	24	Title: DMS: Differentiable Mean Shift for Dataset Agnostic Task Specific Clustering Using Side Information Abstract: We present a novel approach, in which we learn to cluster data directly from side information, in the form of a small set of pairwise examples. Unlike previous methods, with or without side information, ...	[]	Test
32,512	16	Title: SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild Abstract: One of the key issues in facial expression recognition in the wild (FER-W) is that curating large-scale labeled facial images is challenging due to the inherent complexity and ambiguity of facial image...	[]	Train
32,513	10	Title: Reason to explain: Interactive contrastive explanations (REASONX) Abstract: Many high-performing machine learning models are not interpretable. As they are increasingly used in decision scenarios that can critically affect individuals, it is necessary to develop tools to better understand their outputs. Popular ...	[ 35793, 3358 ]	Test
32,514	28	Title: On the Noise Sensitivity of the Randomized SVD Abstract: The randomized singular value decomposition (R-SVD) is a popular sketching-based algorithm for efficiently computing the partial SVD of a large matrix. When the matrix is low-rank, the R-SVD produces its partial SVD exactly; but when the rank is large, it ...	[]	Train
32,515	2	Title: An implicit function theorem for the stream calculus Abstract: In the context of the stream calculus, we present an Implicit Function Theorem (IFT) for polynomial systems, and discuss its relations with the classical IFT from calculus. In particular, we demonstrate the advantages of the stream IFT from a computa...	[]	Train
32,516	24	Title: Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback Abstract: In classic reinforcement learning (RL) and decision making problems, policies are evaluated with respect to a scalar reward function, and all optimal policies are the same with regards to their expe...	[]	Train
32,517	16	Title: Masked and Adaptive Transformer for Exemplar Based Image Translation Abstract: We present a novel framework for exemplar based image translation. Recent advanced methods for this task mainly focus on establishing cross-domain semantic correspondence, which sequentially dominates image generation in the manner of...	[]	Validation
32,518	27	Title: coExplore: Combining multiple rankings for multi-robot exploration Abstract: Multi-robot exploration is a field which tackles the challenge of exploring a previously unknown environment with a number of robots. This is especially relevant for search and rescue operations where time is essential. Current state of...	[]	Validation
32,519	16	Title: Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group Abstract: For a machine learning model to generalize effectively to unseen data within a particular problem domain, it is well-understood that the data needs to be of sufficient size and representa...	[]	Train
32,520	24	Title: GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy Abstract: Due to the inherent uncertainty in their deformability during motion, previous methods in rope manipulation often require hundreds of real-world demonstrations to train a manipulation policy for each rope, even for simple task...	[ 17701 ]	Train
32,521	27	Title: Robot Gaze During Autonomous Navigation and its Effect on Social Presence Abstract: nan	[]	Train
32,522	6	Title: Is It the End? Guidelines for Cinematic Endings in Data Videos Abstract: Data videos are becoming increasingly popular in society and academia. Yet little is known about how to create endings that strengthen a lasting impression and persuasion. To fulfill the gap, this work aims to develop guidelines for data vi...	[]	Test
32,523	27	Title: When and Where to Step: Terrain-Aware Real-Time Footstep Location and Timing Optimization for Bipedal Robots Abstract: Online footstep planning is essential for bipedal walking robots, allowing them to walk in the presence of disturbances and sensory noise. Most of the literature on the topic has focused on opti...	[]	Validation
32,524	24	Title: Hyperparameters in Reinforcement Learning and How To Tune Them Abstract: In order to improve reproducibility, deep reinforcement learning (RL) has been adopting better scientific practices such as standardized evaluation metrics and reporting. However, the process of hyperparameter optimization still varies wide...	[ 3804 ]	Train
32,525	16	Title: Not with my name! Inferring artists' names of input strings employed by Diffusion Models Abstract: Diffusion Models (DM) are highly effective at generating realistic, high-quality images. However, these models lack creativity and merely compose outputs based on their training data, guided by a textual input prov...	[ 45104, 27059 ]	Train
32,526	13	Title: Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding Abstract: Evolutionary Reinforcement Learning (ERL) that applying Evolutionary Algorithms (EAs) to optimize the weight parameters of Deep Neural Network (DNN) based policies has been widely regarded as an alternative to traditio...	[]	Validation
32,527	16	Title: Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies Abstract: Identifying cirrhosis is key to correctly assess the health of the liver. However, the gold standard diagnosis of the cirrhosis needs a medical intervention to obtain th...	[ 35517 ]	Train
32,528	8	Title: On Enhancing Reliability in B5G NTNs with Packet Duplication via Multi-Connectivity Abstract: Non-Terrestrial Networks (NTNs) can be used to provide ubiquitous 5G and beyond services to un(der)served areas. To ensure reliable communication in such networks, packet duplication (PD) through multi-connectivity is a...	[]	Train
32,529	28	Title: On the Closed-form Weight Enumeration of Polar Codes: 1.5d-weight Codewords Abstract: The weight distribution of error correction codes is a critical determinant of their error-correcting performance, making enumeration of utmost importance. In the case of polar codes, the minimum weight $\wm$ (which is equal to...	[]	Train
32,530	15	Title: Bit-balance: Model-Hardware Co-design for Accelerating NNs by Exploiting Bit-level Sparsity Abstract: Bit-serial architectures can handle Neural Networks (NNs) with different weight precisions, achieving higher resource efficiency compared with bit-parallel architectures. Besides, the weights contain abundant ze...	[]	Train
32,531	31	Title: Inference at Scale: Significance Testing for Large Search and Recommendation Experiments Abstract: A number of information retrieval studies have been done to assess which statistical techniques are appropriate for comparing systems. However, these studies are focused on TREC-style experiments, which typically h...	[]	Train
32,532	31	Title: Only Encode Once: Making Content-based News Recommender Greener Abstract: Large pretrained language models (PLM) have become de facto news encoders in modern news recommender systems, due to their strong ability in comprehending textual content. These huge Transformer-based architectures, when finetuned on recom...	[]	Train
32,533	24	Title: DeepVATS: Deep Visual Analytics for Time Series Abstract: The field of Deep Visual Analytics (DVA) has recently arisen from the idea of developing Visual Interactive Systems supported by deep learning, in order to provide them with large-scale data processing capabilities and to unify their implementation across...	[]	Train
32,534	4	Title: BlockFW - Towards Blockchain-based Rule-Sharing Firewall Abstract: Central-managed security mechanisms are often utilized in many organizations, but such server is also a security breaking point. This is because the server has the authority for all nodes that share the security protection. Hence if the attackers...	[]	Train
32,535	16	Title: AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics Abstract: The quality of the video stream is key to neural network-based video analytics. However, low-quality video is inevitably collected by existing surveillance systems because of poor quality cameras or over-compressed/pruned video stream...	[ 36921 ]	Train
32,536	30	Title: Dior-CVAE: Diffusion Priors in Variational Dialog Generation Abstract: Conditional variational autoencoders (CVAEs) have been used recently for diverse response generation, by introducing latent variables to represent the relationship between a dialog context and its potential responses. However, the diversity o...	[]	Train
32,537	30	Title: What Sentiment and Fun Facts We Learnt Before FIFA World Cup Qatar 2022 Using Twitter and AI Abstract: Twitter is a social media platform bridging most countries and allows real-time news discovery. Since the tweets on Twitter are usually short and express public feelings, thus provide a source for opinion minin...	[]	Train
32,538	16	Title: Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models Abstract: Diffusion-based generative models have recently emerged as powerful solutions for high-quality synthesis in multiple domains. Leveraging the bidirectional Markov chains, diffusion probabilistic models generate...	[ 12420, 18514, 37779, 10003, 35159 ]	Validation
32,539	27	Title: Bimanual Telemanipulation with Force and Haptic Feedback through an Anthropomorphic Avatar System Abstract: nan	[ 23981, 34417, 11863, 23259, 44158 ]	Test
32,540	6	Title: A Design Approach and Prototype Implementation for Factory Monitoring Based on Virtual and Augmented Reality at the Edge of Industry 4.0 Abstract: Virtual and augmented reality are currently enjoying a great deal of attention from the research community and the industry towards their adoption within industrial s...	[]	Test
32,541	16	Title: RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods Abstract: High-throughput screening techniques are commonly used to obtain large quantities of data in many fields of biology. It is well known that artifacts arising from variability in the technical execution of different experimental batche...	[ 44880, 9082, 10125 ]	Validation
32,542	30	Title: Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity Abstract: Recent breakthroughs in natural language processing (NLP) have permitted the synthesis and comprehension of coherent text in an open-ended way, therefore translating the theoretical algorithms into practical applications. ...	[ 37411, 40036, 6535, 40330, 22476, 44173, 31857, 33809, 14869, 31832, 345, 1917 ]	Validation
32,543	9	Title: A Strong Composition Theorem for Junta Complexity and the Boosting of Property Testers Abstract: We prove a strong composition theorem for junta complexity and show how such theorems can be used to generically boost the performance of property testers. The $\varepsilon$-approximate junta complexity of a function...	[ 11411, 8541 ]	Train
32,544	36	Title: On logit dynamics in population games Abstract: We study the logit evolutionary dynamics in population games. For general population games, we prove that, on the one hand strict Nash equilibria are locally asymptotically stable under the logit dynamics in the low noise regime, on the other hand a globally expone...	[]	Train
32,545	24	Title: SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention Abstract: With the frequent happening of privacy leakage and the enactment of privacy laws across different countries, data owners are reluctant to directly share their raw data and labels with any other party. In reality, a lot of thes...	[]	Test
32,546	30	Title: Beyond Words: A Comprehensive Survey of Sentence Representations Abstract: Sentence representations have become a critical component in natural language processing applications, such as retrieval, question answering, and text classification. They capture the semantics and meaning of a sentence, enabling machines...	[]	Validation
32,547	24	Title: Physics Informed Token Transformer Abstract: Solving Partial Differential Equations (PDEs) is the core of many fields of science and engineering. While classical approaches are often prohibitively slow, machine learning models often fail to incorporate complete system information. Over the past few years, transf...	[ 21139, 35652, 36735 ]	Test
32,548	30	Title: Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models Abstract: Recent studies in natural language processing (NLP) have focused on modern languages and achieved state-of-the-art results in many tasks. Meanwhile, little attention has been paid to ancient texts and related ta...	[]	Train
32,549	24	Title: Length of Stay prediction for Hospital Management using Domain Adaptation Abstract: Inpatient length of stay (LoS) is an important managerial metric which if known in advance can be used to efficiently plan admissions, allocate resources and improve care. Using historical patient data and machine learning techni...	[]	Test
32,550	3	Title: Towards best practices in AGI safety and governance: A survey of expert opinion Abstract: A number of leading AI companies, including OpenAI, Google DeepMind, and Anthropic, have the stated goal of building artificial general intelligence (AGI) - AI systems that achieve or exceed human performance across a wide ...	[ 28896, 13700, 4744, 24170, 36972, 17876, 32410, 45563, 1917 ]	Validation
32,551	26	Title: Generative models for two-ground-truth partitions in networks Abstract: A myriad of approaches have been proposed to characterise the mesoscale structure of networks - most often as a partition based on patterns variously called communities, blocks, or clusters. Clearly, distinct methods designed to detect diffe...	[]	Train
32,552	30	Title: Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering Abstract: Equipped with Chain-of-Thought (CoT), Large language models (LLMs) have shown impressive reasoning ability in various downstream tasks. Even so, suffering from hallucinations and the inability to acces...	[ 31264, 39873, 13700, 35580, 5192, 9518, 10165, 9141, 43641, 15004, 33817, 3711 ]	Train
32,553	33	Title: On Certificates, Expected Runtimes, and Termination in Probabilistic Pushdown Automata Abstract: Probabilistic pushdown automata (pPDA) are a natural operational model for a variety of recursive discrete stochastic processes. In this paper, we study certificates – succinct and easily verifiable proofs – for uppe...	[ 39353 ]	Test
32,554	23	Title: Graph Neural Network based Log Anomaly Detection and Explanation Abstract: Event logs are widely used to record the status of high-tech systems, making log anomaly detection important for monitoring those systems. Most existing log anomaly detection methods take a log event count matrix or log event sequences as...	[]	Test
32,555	16	Title: Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions Abstract: In this study, we aim to develop a model that comprehends a natural language instruction (e.g.,"Go to the living room and get the nearest pillow to the radio art on the wall") and generates a segmentation mas...	[]	Validation
32,556	25	Title: Automated Arrangements of Multi-Part Music for Sets of Monophonic Instruments Abstract: Arranging music for a different set of instruments that it was originally written for is traditionally a tedious and time-consuming process, performed by experts with intricate knowledge of the specific instruments and involv...	[]	Validation
32,557	16	Title: Image Enhancement for Remote Photoplethysmography in a Low-Light Environment Abstract: With the improvement of sensor technology and significant algorithmic advances, the accuracy of remote heart rate monitoring technology has been significantly improved. Despite of the significant algorithmic advances, the perf...	[ 6377 ]	Train
32,558	4	Title: POSTER: spaceQUIC: Securing Communication in Computationally Constrained Spacecraft Abstract: Recent years have seen a rapid increase in the number of CubeSats and other small satellites in orbit - these have highly constrained computational and communication resources, but still require robust secure communicat...	[]	Train
32,559	24	Title: Intrinsically motivated graph exploration using network theories of human curiosity Abstract: Intrinsically motivated exploration has proven useful for reinforcement learning, even without additional extrinsic rewards. When the environment is naturally represented as a graph, how to guide exploration best remain...	[]	Train
32,560	16	Title: OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment Abstract: Current deep models provide remarkable object detection in terms of object classification and localization. However, estimating object rotation with respect to other visual objects in the visual context of an input image still lacks d...	[]	Train
32,561	24	Title: Snapshot Spectral Clustering - a costless approach to deep clustering ensembles generation Abstract: Despite tremendous advancements in Artificial Intelligence, learning from large sets of data in an unsupervised manner remains a significant challenge. Classical clustering algorithms often fail to discover compl...	[]	Train
32,562	16	Title: From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm Abstract: Neural radiance fields (NeRF) have shown great success in novel view synthesis. However, recovering high-quality details from real-world scenes is still challenging for the existing NeRF-based approaches, due to the potential imperfec...	[ 42198 ]	Validation
32,563	28	Title: New Qubit Codes from Multidimensional Circulant Graphs Abstract: Two new qubit stabilizer codes with parameters $[77, 0, 19]_2$ and $[90, 0, 22]_2$ are constructed for the first time by employing additive symplectic self-dual $\F_4$ codes from multidimensional circulant (MDC) graphs. We completely classify MDC g...	[]	Test
32,564	24	Title: Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents Abstract: The operation of electricity grids has become increasingly complex due to the current upheaval and the increase in renewable energy production. As a consequence, active grid ...	[]	Train
32,565	30	Title: Lightweight Transformers for Clinical Natural Language Processing Abstract: Specialised pre-trained language models are becoming more frequent in NLP since they can potentially outperform models trained on generic texts. BioBERT and BioClinicalBERT are two examples of such models that have shown promise in medic...	[ 7849 ]	Validation
32,566	10	Title: Neuro-Symbolic Recommendation Model based on Logic Query Abstract: A recommendation system assists users in finding items that are relevant to them. Existing recommendation models are primarily based on predicting relationships between users and items and use complex matching models or incorporate extensive exte...	[]	Validation
32,567	30	Title: Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages Abstract: Large language models (LLMs) are increasingly capable and prevalent, and can be used to produce creative content. The quality of content is influenced by the prompt used, with more speci...	[ 25795, 13510, 8493, 36751, 16464, 40693, 43320, 39642, 14623 ]	Train
32,568	8	Title: Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes Abstract: Due to mutual interference between users, power allocation problems in wireless networks are often non-convex and computationally challenging. Graph neural networks (GNNs) have recently emerged as a promising approac...	[ 38496 ]	Train
32,569	24	Title: Neural Network Architecture for Database Augmentation Using Shared Features Abstract: The popularity of learning from data with machine learning and neural networks has lead to the creation of many new datasets for almost every problem domain. However, even within a single domain, these datasets are often collec...	[]	Train
32,570	24	Title: Generalized Continual Category Discovery Abstract: Most of Continual Learning (CL) methods push the limit of supervised learning settings, where an agent is expected to learn new labeled tasks and not forget previous knowledge. However, these settings are not well aligned with real-life scenarios, where a learni...	[ 35336 ]	Validation
32,571	16	Title: Depth-Relative Self Attention for Monocular Depth Estimation Abstract: Monocular depth estimation is very challenging because clues to the exact depth are incomplete in a single RGB image. To overcome the limitation, deep neural networks rely on various visual hints such as size, shade, and texture extracted fro...	[]	Validation
32,572	16	Title: Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions Abstract: Medical image segmentation is a crucial task that relies on the ability to accurately identify and isolate regions of interest in medical images. Thereby, generative approaches allow to capture the statistical ...	[ 5466, 4887 ]	Validation
32,573	20	Title: A Quadtree for Hyperbolic Space Abstract: We propose a data structure in d-dimensional hyperbolic space that can be considered a natural counterpart to quadtrees in Euclidean spaces. Based on this data structure we propose a so-called L-order for hyperbolic point sets, which is an extension of the Z-order define...	[]	Train
32,574	16	Title: Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model Abstract: With the recent surge in popularity of AR/VR applications, realistic and accurate control of 3D full-body avatars has become a highly demanded feature. A particular challenge is that only a sparse trackin...	[ 13030, 8871, 25651, 19965, 36286 ]	Train
32,575	37	Title: IterLara: A Turing Complete Algebra for Big Data, AI, Scientific Computing, and Database Abstract: \textsc{Lara} is a key-value algebra that aims at unifying linear and relational algebra with three types of operation abstraction. The study of \textsc{Lara}'s expressive ability reports that it can represent rela...	[]	Train
32,576	6	Title: Comparative Analysis of Change Blindness in Virtual Reality and Augmented Reality Environments Abstract: Change blindness is a phenomenon where an individual fails to notice alterations in a visual scene when a change occurs during a brief interruption or distraction. Understanding this phenomenon is specificall...	[]	Train
32,577	4	Title: Cryptography approach for Secure Outsourced Data Storage in Cloud Environment Abstract: A large amount of data and applications are migrated by researchers, stakeholders, academia, and business organizations to the cloud environment due to its large variety of services, which involve the least maintenance cost, ...	[ 40421 ]	Train

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