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
28,478	16	Title: CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration Abstract: This paper presents CLIPXPlore, a new framework that leverages a vision-language model to guide the exploration of the 3D shape space. Many recent methods have been developed to encode 3D shapes into a learned latent shape space to enab...	[ 18720, 17029, 31062 ]	Train
28,479	24	Title: Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data Abstract: Accurate vehicle rating prediction can facilitate designing and configuring good vehicles. This prediction allows vehicle designers and manufacturers to optimize and improve their designs in a timely mann...	[ 15668 ]	Test
28,480	16	Title: Density Crop-guided Semi-supervised Object Detection in Aerial Images Abstract: One of the important bottlenecks in training modern object detectors is the need for labeled images where bounding box annotations have to be produced for each object present in the image. This bottleneck is further exacerbated in ae...	[ 10168 ]	Train
28,481	26	Title: Uncovering the Skillsets Required in Computer Science Jobs Using Social Network Analysis Abstract: The rapid growth of technology and computer science, which has led to a surge in demand for skilled professionals in this field. The skill set required for computer science jobs has evolved rapidly, creating challe...	[ 5851 ]	Train
28,482	16	Title: Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising Abstract: Leveraging large-scale image-text datasets and advancements in diffusion models, text-driven generative models have made remarkable strides in the field of image generation and editing. This study explores the potential of exten...	[ 20960, 42272, 12841, 3979, 34074, 15983, 23669, 17526, 21178, 40671 ]	Validation
28,483	27	Title: Sarrus-inspired Deployable Polyhedral Mechanisms Abstract: Deployable polyhedral mechanisms (DPMs) have witnessed flourishing growth in recent years because of their potential applications in robotics, space exploration, structure engineering, etc. This paper firstly presents the construction, mobility and kinem...	[]	Train
28,484	16	Title: S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences Abstract: Statistical shape models (SSMs) are an established way to represent the anatomy of a population with various clinically relevant applications. However, they typically require domain expertise, and labor-intensive landmark ann...	[ 11367 ]	Validation
28,485	24	Title: A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Abstract: A key component of many graph neural networks (GNNs) is the pooling operation, which seeks to reduce the size of a graph while preserving important structural information. However, most existing graph pooling strategies rely on an assig...	[ 28287 ]	Test
28,486	24	Title: Provably Learning Nash Policies in Constrained Markov Potential Games Abstract: Multi-agent reinforcement learning (MARL) addresses sequential decision-making problems with multiple agents, where each agent optimizes its own objective. In many real-world instances, the agents may not only want to optimize their ...	[]	Train
28,487	6	Title: Video Analysis of Behavioral Patterns During Prolonged Work in VR Abstract: VR has recently been promoted as a tool for knowledge workers and studies have shown that it has the potential to improve knowledge work. However, studies on its prolonged use have been scarce. A prior study compared working in VR for on...	[]	Train
28,488	31	Title: The Evolution of Web Search User Interfaces - An Archaeological Analysis of Google Search Engine Result Pages Abstract: Web search engines have marked everyone’s life by transforming how one searches and accesses information. Search engines give special attention to the user interface, especially search engine r...	[ 42891, 36143 ]	Train
28,489	30	Title: In-Contextual Bias Suppression for Large Language Models Abstract: Despite their impressive performance in a wide range of NLP tasks, Large Language Models (LLMs) have been reported to encode worrying-levels of gender bias. Prior work has proposed debiasing methods that require human labelled examples, data augm...	[ 45463 ]	Test
28,490	16	Title: MC-MLP: Multiple Coordinate Frames in all-MLP Architecture for Vision Abstract: In deep learning, Multi-Layer Perceptrons (MLPs) have once again garnered attention from researchers. This paper introduces MC-MLP, a general MLP-like backbone for computer vision that is composed of a series of fully-connected (FC) ...	[]	Train
28,491	27	Title: Applications of Uncalibrated Image Based Visual Servoing in Micro- and Macroscale Robotics Abstract: We present a robust markerless image based visual servoing method that enables precision robot control without hand-eye and camera calibrations in 1, 3, and 5 degrees-of-freedom. The system uses two cameras for o...	[]	Train
28,492	24	Title: Co-Attention Graph Pooling for Efficient Pairwise Graph Interaction Learning Abstract: Graph Neural Networks (GNNs) have proven to be effective in processing and learning from graph-structured data. However, previous works mainly focused on understanding single graph inputs while many real-world applications req...	[]	Train
28,493	24	Title: Does Double Descent Occur in Self-Supervised Learning? Abstract: Most investigations into double descent have focused on supervised models while the few works studying self-supervised settings find a surprising lack of the phenomenon. These results imply that double descent may not exist in self-supervised model...	[ 11736 ]	Train
28,494	16	Title: Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN Abstract: nan	[]	Validation
28,495	16	Title: From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding Abstract: Action understanding matters and attracts attention. It can be formed as the mapping from the action physical space to the semantic space. Typically, researchers built action datasets according to idiosyncratic choi...	[]	Train
28,496	24	Title: Convolutional and Deep Learning based techniques for Time Series Ordinal Classification Abstract: Time Series Classification (TSC) covers the supervised learning problem where input data is provided in the form of series of values observed through repeated measurements over time, and whose objective is to predic...	[ 37584, 42353, 34853 ]	Train
28,497	36	Title: Anonymous Refugee Housing with Upper-Bounds Abstract: Knop and Schierreich [AAMAS '23] recently introduced a novel model of refugee housing and specifically asked for the computational complexity picture of the following variant. Given a topology modelled as an undirected graph, a set of inhabitants, a number of...	[ 36232, 18770 ]	Train
28,498	27	Title: BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction Abstract: Predicting future trajectories of surrounding agents is essential for safety-critical autonomous driving. Most existing work focuses on predicting marginal trajectories for each agent independently. Howeve...	[]	Validation
28,499	24	Title: Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games Abstract: We consider the problem of decentralized multi-agent reinforcement learning in Markov games. A fundamental question is whether there exist algorithms that, when adopted by all agents and run independently in a decentral...	[ 8663 ]	Test
28,500	16	Title: Patched Line Segment Learning for Vector Road Mapping Abstract: This paper presents a novel approach to computing vector road maps from satellite remotely sensed images, building upon a well-defined Patched Line Segment (PaLiS) representation for road graphs that holds geometric significance. Unlike prevailing m...	[ 2954, 32358 ]	Train
28,501	25	Title: An Order-Complexity Model for Aesthetic Quality Assessment of Symbolic Homophony Music Scores Abstract: Computational aesthetics evaluation has made great achievements in the field of visual arts, but the research work on music still needs to be explored. Although the existing work of music generation is very su...	[]	Train
28,502	30	Title: Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents Abstract: Segmentation and Rhetorical Role Labeling of legal judgements play a crucial role in retrieval and adjacent tasks, including case summarization, semantic search, argument mining etc. Previous approaches have...	[]	Test
28,503	24	Title: Smooth Monotonic Networks Abstract: Monotonicity constraints are powerful regularizers in statistical modelling. They can support fairness in computer supported decision making and increase plausibility in data-driven scientific models. The seminal min-max (MM) neural network architecture ensures monotonicity, b...	[]	Validation
28,504	16	Title: Semi-supervised learning made simple with self-supervised clustering Abstract: Self-supervised learning models have been shown to learn rich visual representations without requiring human annotations. However, in many real-world scenarios, labels are partially available, motivating a recent line of work on semi-...	[ 29981 ]	Test
28,505	16	Title: RdSOBA: Rendered Shadow-Object Association Dataset Abstract: Image composition refers to inserting a foreground object into a background image to obtain a composite image. In this work, we focus on generating plausible shadows for the inserted foreground object to make the composite image more realistic. To supp...	[]	Train
28,506	16	Title: Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations Abstract: Spurious correlation caused by subgroup underrepresentation has received increasing attention as a source of bias that can be perpetuated by deep neural net...	[ 3029 ]	Validation
28,507	36	Title: Asynchronous Majority Dynamics on Binomial Random Graphs Abstract: We study information aggregation in networks when agents interact to learn a binary state of the world. Initially each agent privately observes an independent signal which is"correct"with probability $\frac{1}{2}+\delta$ for some $\delta>0$. At e...	[]	Validation
28,508	24	Title: FedBone: Towards Large-Scale Federated Multi-Task Learning Abstract: Heterogeneous federated multi-task learning (HFMTL) is a federated learning technique that combines heterogeneous tasks of different clients to achieve more accurate, comprehensive predictions. In real-world applications, visual and natural lan...	[ 44778, 23717 ]	Train
28,509	16	Title: FitMe: Deep Photorealistic 3D Morphable Model Avatars Abstract: In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering optimization pipeline, that can be used to acquire high-fidelity renderable human avatars from single or multiple images. The model consists of a multi-moda...	[ 26244 ]	Train
28,510	24	Title: Generalizing Graph ODE for Learning Complex System Dynamics across Environments Abstract: Learning multi-agent system dynamics have been extensively studied for various real-world applications, such as molecular dynamics in biology, multi-body system prediction in physics, and particle dynamics in material scien...	[ 45442 ]	Train
28,511	27	Title: PRISMA: A Novel Approach for Deriving Probabilistic Surrogate Safety Measures for Risk Evaluation Abstract: nan	[]	Train
28,512	16	Title: TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses Abstract: 3D multi-object tracking (MOT) is vital for many applications including autonomous driving vehicles and service robots. With the commonly used tracking-by-detection paradigm, 3D MOT has made important progress in rec...	[ 31155, 5141 ]	Train
28,513	4	Title: Backdooring Textual Inversion for Concept Censorship Abstract: Recent years have witnessed success in AIGC (AI Generated Content). People can make use of a pre-trained diffusion model to generate images of high quality or freely modify existing pictures with only prompts in nature language. More excitingly, the ...	[ 8547, 44741, 34311, 27059, 28532, 5375 ]	Test
28,514	24	Title: Automatic Differentiation for Inverse Problems with Applications in Quantum Transport Abstract: A neural solver and differentiable simulation of the quantum transmitting boundary model is presented for the inverse quantum transport problem. The neural solver is used to engineer continuous transmission properties...	[]	Train
28,515	30	Title: A Sentence is Worth a Thousand Pictures: Can Large Language Models Understand Human Language? Abstract: Artificial Intelligence applications show great potential for language-related tasks that rely on next-word prediction. The current generation of large language models have been linked to claims about human-li...	[ 34681 ]	Train
28,516	16	Title: CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric Abstract: Detecting visually similar images is a particularly useful attribute to look to when calculating product recommendations. Embedding similarity, which utilizes pre-trained computer vision models to extract high-level i...	[]	Train
28,517	25	Title: Underwater-Art: Expanding Information Perspectives With Text Templates For Underwater Acoustic Target Recognition Abstract: Underwater acoustic target recognition is an intractable task due to the complex acoustic source characteristics and sound propagation patterns. Limited by insufficient data and narrow info...	[ 2393, 22204, 33241 ]	Test
28,518	24	Title: Verifying Generalization in Deep Learning Abstract: Deep neural networks (DNNs) are the workhorses of deep learning, which constitutes the state of the art in numerous application domains. However, DNN-based decision rules are notoriously prone to poor generalization, i.e., may prove inadequate on inputs not enc...	[ 21129 ]	Train
28,519	16	Title: Learning Neural Duplex Radiance Fields for Real-Time View Synthesis Abstract: Neural radiance fields (NeRFs) enable novel-view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer perceptron (MLP) evaluations - for each pixel. This is pr...	[ 18012 ]	Train
28,520	24	Title: Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference Abstract: Federated Learning (FL) is a widely embraced paradigm for distilling artificial intelligence from distributed mobile data. However, the deployment of FL in mobile networks can be compromised by exposure to interference ...	[]	Validation
28,521	16	Title: TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter Abstract: Visual foundation models like CLIP excel in learning feature representations from extensive datasets through self-supervised methods, demonstrating remarkable transfer learning and generalization capabilities. A growing ...	[ 10624, 4643, 8084 ]	Train
28,522	27	Title: Behavior Trees for Robust Task Level Control in Robotic Applications Abstract: Behavior Trees are a task switching policy representation that can grant reactiveness and fault tolerance. Moreover, because of their structure and modularity, a variety of methods can be used to generate them automatically. In this s...	[ 37638 ]	Train
28,523	24	Title: Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions Abstract: Deep learning training training algorithms are a huge success in recent years in many fields including speech, text,image video etc. Deeper and deeper layers are proposed with huge success with ...	[]	Train
28,524	16	Title: DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model Abstract: Observing the close relationship among panoptic, semantic and instance segmentation tasks, we propose to train a universal multi-dataset multi-task segmentation model: DaTaSeg.We use a shared representation (mask proposals with cla...	[ 34834, 37254, 3612, 25222 ]	Train
28,525	37	Title: Diversity of Answers to Conjunctive Queries (short paper) Abstract: Enumeration problems aim at outputting, without repetition, the set of solutions to a given problem instance. However, outputting the entire solution set may be prohibitively expensive if it is too big. In this case, outputting a small, sufficie...	[]	Train
28,526	31	Title: MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search Abstract: Taobao Search consists of two phases: the retrieval phase and the ranking phase. Given a user query, the retrieval phase returns a subset of candidate products for the following ranking phase. Recently, the paradigm of pre-trai...	[ 15776, 24744 ]	Test
28,527	27	Title: Haptic-guided assisted telemanipulation approach for grasping desired objects from heaps Abstract: This paper presents an assisted telemanipulation framework for reaching and grasping desired objects from clutter. Specifically, the developed system allows an operator to select an object from a cluttered heap and...	[ 43481 ]	Train
28,528	16	Title: ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training Abstract: Progressive compression allows images to start loading as low-resolution versions, becoming clearer as more data is received. This increases user experience when, for example, network connections are slow. Today, most approac...	[]	Train
28,529	24	Title: Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data Abstract: With mobile, IoT and sensor devices becoming pervasive in our life and recent advances in Edge Computational Intelligence (e.g., Edge AI/ML), it became evident that the traditional methods for training AI/ML mode...	[]	Train
28,530	16	Title: Spatial-Temporal Alignment Network for Action Recognition Abstract: This paper studies introducing viewpoint invariant feature representations in existing action recognition architecture. Despite significant progress in action recognition, efficiently handling geometric variations in large-scale datasets remains...	[]	Train
28,531	16	Title: Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing Abstract: Multi-stage architectures have exhibited efficacy in image dehazing, which usually decomposes a challenging task into multiple more tractable sub-tasks and progressively estimates latent hazy-free images. Despite the rema...	[ 3007 ]	Train
28,532	16	Title: Muse: Text-To-Image Generation via Masked Generative Transformers Abstract: We present Muse, a text-to-image Transformer model that achieves state-of-the-art image generation performance while being significantly more efficient than diffusion or autoregressive models. Muse is trained on a masked modeling task in...	[ 10753, 16387, 42501, 14350, 44561, 1043, 10788, 11820, 42551, 13371, 29245, 44100, 12362, 25683, 21589, 2139, 40027, 5223, 19573, 42104, 10872, 31352, 4220, 4738, 21125, 25739, 20110, 16015, 44177, 12951, 41653, 26809, 33977, 24763, 41146, 30402,...	Validation
28,533	24	Title: Study on the effectiveness of AutoML in detecting cardiovascular disease Abstract: Cardiovascular diseases are widespread among patients with chronic noncommunicable diseases and are one of the leading causes of death, including in the working age. The article presents the relevance of the development and applic...	[]	Train
28,534	24	Title: Mind the Gap: Offline Policy Optimization for Imperfect Rewards Abstract: Reward function is essential in reinforcement learning (RL), serving as the guiding signal to incentivize agents to solve given tasks, however, is also notoriously difficult to design. In many cases, only imperfect rewards are available, w...	[ 44513, 25623, 12415 ]	Train
28,535	16	Title: Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors Abstract: Representing 3D surfaces as level sets of continuous functions over $\mathbb{R}^3$ is the common denominator of neural implicit representations, which recently enabled remarkable progress in geometric deep learning an...	[]	Train
28,536	23	Title: On the Way to SBOMs: Investigating Design Issues and Solutions in Practice Abstract: The Software Bill of Materials (SBOM) has emerged as a promising solution, providing a machine-readable inventory of software components used, thus bolstering supply chain security. This paper presents an extensive study concern...	[ 45585, 18146, 42155 ]	Validation
28,537	6	Title: Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series Abstract: The Fourier theorem proposes that any time-series can be decomposed into a set of sinusoidal frequencies, each with its own phase and amplitude. The literature suggests that some of th...	[ 21941, 15702 ]	Train
28,538	24	Title: A method for incremental discovery of financial event types based on anomaly detection Abstract: Event datasets in the financial domain are often constructed based on actual application scenarios, and their event types are weakly reusable due to scenario constraints; at the same time, the massive and diverse new...	[]	Validation
28,539	16	Title: MMNet: Multi-Mask Network for Referring Image Segmentation Abstract: Referring image segmentation aims to segment an object referred to by natural language expression from an image. However, this task is challenging due to the distinct data properties between text and image, and the randomness introduced by dive...	[]	Validation
28,540	31	Title: Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation Abstract: Conversational recommendation systems (CRS) aim to interactively acquire user preferences and accordingly recommend items to users. Accurately learning the dynamic user preferences is of crucial importance for CRS. Prev...	[ 4924 ]	Train
28,541	24	Title: Personalized Federated Learning via Amortized Bayesian Meta-Learning Abstract: Federated learning is a decentralized and privacy-preserving technique that enables multiple clients to collaborate with a server to learn a global model without exposing their private data. However, the presence of statistical hetero...	[ 19018, 44268, 44349 ]	Validation
28,542	27	Title: FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback Abstract: In this paper, we address the problem of using visuo-tactile feedback for 6-DoF localization and 3D reconstruction of unknown in-hand objects. We propose FingerSLAM, a closed-loop factor graph-based pose ...	[ 29674, 33660, 19223 ]	Test
28,543	17	Title: Faster Ray Tracing through Hierarchy Cut Code Abstract: We propose a novel ray reordering technique to accelerate the ray tracing process by encoding and sorting rays prior to traversal. Instead of spatial coordinates, our method encodes rays according to the cuts of the hierarchical acceleration structure, whic...	[]	Train
28,544	16	Title: A survey on automated detection and classification of acute leukemia and WBCs in microscopic blood cells Abstract: nan	[]	Train
28,545	16	Title: An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection Abstract: The extensive utilization of biometric authentication systems have emanated attackers / imposters to forge user identity based on morphed images. In this attack, a synthetic image is produced and merged with genuine. Next, t...	[]	Validation
28,546	34	Title: Hypergraph Splitting-off and Covering Skew-Supermodular Functions in Strongly Polynomial Time Abstract: We consider hypergraph network design problems where the goal is to construct a hypergraph satisfying certain properties. In graph network design problems, the number of edges in an arbitrary solution is at mo...	[]	Test
28,547	31	Title: A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings Abstract: Item representation holds significant importance in recommendation systems, which encompasses domains such as news, retail, and videos. Retrieval and ranking models utilise item representation to capture the user-item rela...	[]	Train
28,548	16	Title: Neural Implicit Morphing of Face Images Abstract: Face morphing is one of the seminal problems in computer graphics, with numerous artistic and forensic applications. It is notoriously challenging due to pose, lighting, gender, and ethnicity variations. Generally, this task consists of a warping for feature alig...	[ 29712 ]	Train
28,549	27	Title: Adaptive Patched Grid Mapping Abstract: In this work, we propose a novel adaptive grid mapping approach, the Adaptive Patched Grid Map, which enables a situational aware grid based perception for autonomous vehicles. Its structure allows a flexible representation of the surrounding unstructured environment. By s...	[]	Train
28,550	27	Title: Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data Augmentation Abstract: Imitation Learning (IL) has been increasingly employed to generate computationally efficient policies from task-relevant demonstrations provided by Model Predictive Control (MPC). However, commonly emp...	[]	Train
28,551	30	Title: Nondeterministic Stacks in Neural Networks Abstract: Human language is full of compositional syntactic structures, and although neural networks have contributed to groundbreaking improvements in computer systems that process language, widely-used neural network architectures still exhibit limitations in their ab...	[]	Validation
28,552	16	Title: Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Face Embedding Abstract: nan	[ 7347 ]	Train
28,553	24	Title: A Graph Neural Network with Negative Message Passing for Graph Coloring Abstract: Graph neural networks have received increased attention over the past years due to their promising ability to handle graph-structured data, which can be found in many real-world problems such as recommended systems and drug synthes...	[]	Train
28,554	28	Title: On Probability Shaping for 5G MIMO Wireless Channel with Realistic LDPC Codes Abstract: Probability Shaping (PS) is a method to improve a Modulation and Coding Scheme (MCS) in order to increase reliability of data transmission. It is already implemented in some modern radio broadcasting and optic systems, but no...	[]	Train
28,555	30	Title: Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense Abstract: Generative Language Models gained significant attention in late 2022 / early 2023, notably with the introduction of models refined to act consistently with users' expectations of interactions with AI (conversational mode...	[ 10624, 40736, 13700, 33220, 20756, 58 ]	Train
28,556	37	Title: Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol Abstract: Two-phase-commit (2PC) has been widely adopted for distributed transaction processing, but it also jeopardizes throughput by introducing two rounds of network communications and two durable log write...	[]	Train
28,557	16	Title: Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation Abstract: Self-supervised and language-supervised image models contain rich knowledge of the world that is important for generalization. Many robotic tasks, however, require a detailed understanding of 3D geometry, which is often lacking in 2D...	[ 4385, 26786, 4643, 19781, 4092, 22222, 33715, 41400, 13564 ]	Validation
28,558	16	Title: Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal Abstract: Image restoration under adverse weather conditions (e.g., rain, snow and haze) is a fundamental computer vision problem and has important indications for various downstream applications. Different from early methods ...	[]	Test
28,559	24	Title: Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization Abstract: Recently, flat minima are proven to be effective for improving generalization and sharpness-aware minimization (SAM) achieves state-of-the-art performance. Yet the current definition of flatness discussed in SAM and...	[ 36688, 24375 ]	Train
28,560	16	Title: An Automated Pipeline to Create an Atlas of in Situ Hybridization Gene Expression Data in the Adult Marmoset Brain Abstract: We present the first automated pipeline to create an atlas of in situ hybridization gene expression in the adult marmoset brain in the same stereotaxic space. The pipeline consists of segm...	[]	Train
28,561	24	Title: Continual Learning as Computationally Constrained Reinforcement Learning Abstract: An agent that efficiently accumulates knowledge to develop increasingly sophisticated skills over a long lifetime could advance the frontier of artificial intelligence capabilities. The design of such agents, which remains a long-...	[ 11649, 33154, 2439, 41032, 35917, 16431, 20689, 635, 10783 ]	Train
28,562	24	Title: Scalable Causal Discovery with Score Matching Abstract: This paper demonstrates how to discover the whole causal graph from the second derivative of the log-likelihood in observational non-linear additive Gaussian noise models. Leveraging scalable machine learning approaches to approximate the score function $\n...	[ 45801 ]	Train
28,563	24	Title: Lung airway geometry as an early predictor of autism: A preliminary machine learning-based study Abstract: The goal of this study is to assess the feasibility of airway geometry as a biomarker for ASD. Chest CT images of children with a documented diagnosis of ASD as well as healthy controls were identified retr...	[]	Train
28,564	16	Title: AugDMC: Data Augmentation Guided Deep Multiple Clustering Abstract: Clustering aims to group similar objects together while separating dissimilar ones apart. Thereafter, structures hidden in data can be identified to help understand data in an unsupervised manner. Traditional clustering methods such as k-means p...	[]	Train
28,565	25	Title: Data leakage in cross-modal retrieval training: A case study Abstract: The recent progress in text-based audio retrieval was largely propelled by the release of suitable datasets. Since the manual creation of such datasets is a laborious task, obtaining data from online resources can be a cheap solution to creat...	[]	Train
28,566	24	Title: Distance Functions and Normalization Under Stream Scenarios Abstract: Data normalization is an essential task when modeling a classification system. When dealing with data streams, data normalization becomes especially challenging since we may not know in advance the properties of the features, such as their min...	[]	Validation
28,567	27	Title: Barkour: Benchmarking Animal-level Agility with Quadruped Robots Abstract: Animals have evolved various agile locomotion strategies, such as sprinting, leaping, and jumping. There is a growing interest in developing legged robots that move like their biological counterparts and show various agile skills to navig...	[ 710, 8231, 7144, 39724, 34398, 6559 ]	Train
28,568	30	Title: Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task Abstract: Pretrained language models are publicly available and constantly finetuned for various real-life applications. As they become capable of grasping complex contextual information, h...	[ 29264, 21434, 14623 ]	Train
28,569	24	Title: Replicable Reinforcement Learning Abstract: The replicability crisis in the social, behavioral, and data sciences has led to the formulation of algorithm frameworks for replicability -- i.e., a requirement that an algorithm produce identical outputs (with high probability) when run on two different samples from ...	[ 16853, 10878 ]	Train
28,570	6	Title: What if we have Meta GPT? From Content Singularity to Human-Metaverse Interaction in AIGC Era Abstract: The global metaverse development is facing a"cooldown moment", while the academia and industry attention moves drastically from the Metaverse to AI Generated Content (AIGC) in 2023. Nonetheless, the current di...	[ 27232, 30565, 31334, 1899, 12888, 35263 ]	Test
28,571	16	Title: Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders with Mutual Information Constraints Abstract: Extracting fine-grained features such as styles from unlabeled data is crucial for data analysis. Unsupervised methods such as variational autoencoders (VAEs) can extract styles that are ...	[]	Train
28,572	25	Title: SIA-FTP: A Spoken Instruction Aware Flight Trajectory Prediction Framework Abstract: Ground-air negotiation via speech communication is a vital prerequisite for ensuring safety and efficiency in air traffic control (ATC) operations. However, with the increase in traffic flow, incorrect instructions caused by hum...	[]	Train
28,573	10	Title: Near-continuous time Reinforcement Learning for continuous state-action spaces Abstract: We consider the Reinforcement Learning problem of controlling an unknown dynamical system to maximise the long-term average reward along a single trajectory. Most of the literature considers system interactions that occur in...	[]	Train
28,574	16	Title: From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation Abstract: Accurate and safe catheter ablation procedures for patients with atrial fibrillation require precise segmentation of cardiac structures in Intracardiac Echocardiography (ICE) imaging. Prior studies have ...	[]	Train
28,575	4	Title: "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models Abstract: The misuse of large language models (LLMs) has garnered significant attention from the general public and LLM vendors. In response, efforts have been made to align LLMs with human values and intent u...	[ 19968, 13700, 13832, 8853, 39322, 41122, 36911, 10800, 4408, 17598, 41408, 44481, 33220, 18758, 29258, 13278, 29280, 45923, 46066, 35580, 10749 ]	Train
28,576	38	Title: SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples Abstract: We present SemOpenAlex, an extensive RDF knowledge graph that contains over 26 billion triples about scientific publications and their associated entities, such as authors, institutions, journals, and concepts. SemOpenAlex is licensed unde...	[ 26813 ]	Test
28,577	2	Title: Orbit-finite linear programming Abstract: An infinite set is orbit-finite if, up to permutations of the underlying structure of atoms, it has only finitely many elements. We study a generalisation of linear programming where constraints are expressed by an orbit-finite system of linear inequalities. As our princ...	[]	Train

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