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
32,878	24	Title: A Novel Neural Network Approach for Predicting the Arrival Time of Buses for Smart On-Demand Public Transit Abstract: Among the major public transportation systems in cities, bus transit has its problems, including more accuracy and reliability when estimating the bus arrival time for riders. This can lead to de...	[ 28292 ]	Train
32,879	16	Title: Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion Abstract: Tremendous efforts have been devoted to pedestrian trajectory prediction using generative modeling for accommodating uncertainty and multi-modality in human behaviors. An individual's inherent uncertainty, e.g., change of d...	[]	Train
32,880	27	Title: Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Abstract: Acquiring driving policies that can transfer to unseen environments is challenging when driving in dense traffic flows. The design of traffic flow is essential and previous studies are unable to balance interaction and ...	[]	Train
32,881	23	Title: A Model for Understanding and Reducing Developer Burnout Abstract: Job burnout is a type of work-related stress associated with a state of physical or emotional exhaustion that also involves a sense of reduced accomplishment and loss of personal identity. Burnt out can affect one’s physical and mental health and...	[ 27355 ]	Train
32,882	16	Title: Co-Speech Gesture Synthesis using Discrete Gesture Token Learning Abstract: Synthesizing realistic co-speech gestures is an important and yet unsolved problem for creating believable motions that can drive a humanoid robot to interact and communicate with human users. Such capability will improve the impressions...	[ 19888 ]	Train
32,883	24	Title: Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Abstract: Graph representation learning (GRL) has emerged as a pivotal field that has contributed significantly to breakthroughs in various fields, including biomedicine. The objective of this survey is t...	[ 14208 ]	Validation
32,884	3	Title: Towards The Creation Of The Future Fish Farm Abstract: Aim: A fish farm is an area where fish are raised and bred for food. Fish farm environments support the care and management of seafood within a controlled environment. Over the past few decades, there has been a remarkable increase in the calorie intake of p...	[]	Test
32,885	4	Title: Parma: Confidential Containers via Attested Execution Policies Abstract: Container-based technologies empower cloud tenants to develop highly portable software and deploy services in the cloud at a rapid pace. Cloud privacy, meanwhile, is important as a large number of container deployments operate on privacy-se...	[]	Train
32,886	34	Title: A New Approximation Algorithm for Minimum-Weight $(1,m)$--Connected Dominating Set Abstract: Consider a graph with nonnegative node weight. A vertex subset is called a CDS (connected dominating set) if every other node has at least one neighbor in the subset and the subset induces a connected subgraph. Furthermo...	[]	Train
32,887	25	Title: Cellular Network Speech Enhancement: Removing Background and Transmission Noise Abstract: The primary objective of speech enhancement is to reduce background noise while preserving the target’s speech. A common dilemma occurs when a speaker is conﬁned to a noisy envi-ronment and receives a call with high backgro...	[ 12186 ]	Validation
32,888	30	Title: IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models Abstract: Interpretability and human oversight are fundamental pillars of deploying complex NLP models into real-world applications. However, applying explainability and human-in-the-loop methods requires technical proficiency. Despi...	[ 2291 ]	Train
32,889	31	Title: NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking Abstract: To enhance the ability to find credible evidence in news articles, we propose a novel task of expert recommendation, which aims to identify trustworthy experts on a specific news topic. To achieve ...	[ 32829, 18239 ]	Train
32,890	16	Title: Rethinking Person Re-identification from a Projection-on-Prototypes Perspective Abstract: Person Re-IDentification (Re-ID) as a retrieval task, has achieved tremendous development over the past decade. Existing state-of-the-art methods follow an analogous framework to first extract features from the input images...	[ 22327 ]	Train
32,891	5	Title: PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems Abstract: Data provenance, or data lineage, describes the life cycle of data. In scientific workflows on HPC systems, scientists often seek diverse provenance (e.g., origins of data products, usage patterns of datasets). Unfortuna...	[ 45835 ]	Test
32,892	16	Title: Refinement for Absolute Pose Regression with Neural Feature Synthesis Abstract: Absolute Pose Regression (APR) methods use deep neural networks to directly regress camera poses from RGB images. Despite their advantages in inference speed and simplicity, these methods still fall short of the accuracy achieved by ...	[ 41849, 29157 ]	Train
32,893	24	Title: Stabilizing Transformer Training by Preventing Attention Entropy Collapse Abstract: Training stability is of great importance to Transformers. In this work, we investigate the training dynamics of Transformers by examining the evolution of the attention layers. In particular, we track the attention entropy for e...	[ 15345, 30090 ]	Train
32,894	16	Title: Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition Abstract: We are concerned with a challenging scenario in unpaired multiview video learning. In this case, the model aims to learn comprehensive multiview representations while the cross-view semantic information exhibi...	[]	Validation
32,895	30	Title: Stochastic Code Generation Abstract: Large language models pre-trained for code generation can generate high-quality short code but often struggle with generating coherent long code and understanding higher-level or system-level specifications. This issue is also observed in language modeling for long text gener...	[]	Train
32,896	30	Title: It’s about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits Abstract: New events emerge over time influencing the topics of rumors in social media. Current rumor detection benchmarks use random splits as training, development and test sets which typically results in topical ov...	[ 15841, 35022, 12816, 4599, 39709 ]	Test
32,897	16	Title: Understanding and Improving Features Learned in Deep Functional Maps Abstract: Deep functional maps have recently emerged as a successful paradigm for non-rigid 3D shape correspondence tasks. An essential step in this pipeline consists in learning feature functions that are used as constraints to solve for a fun...	[ 12621, 21351 ]	Train
32,898	24	Title: Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions Abstract: Precision and Recall are two prominent metrics of generative performance, which were proposed to separately measure the fidelity and diversity of generative models. Given their centra...	[]	Validation
32,899	24	Title: NUBO: A Transparent Python Package for Bayesian Optimisation Abstract: NUBO, short for Newcastle University Bayesian Optimisation, is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions, such as physical experiments and computer simulators. Bayesian optimisation is...	[]	Train
32,900	6	Title: Simulating vibration transmission and comfort in automated driving integrating models of seat, body, postural stabilization and motion perception Abstract: To enhance motion comfort in (automated) driving we present biomechanical models and demonstrate their ability to capture vibration transmission from seat to...	[]	Train
32,901	16	Title: Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation Abstract: With the rapid development of deep learning technology in the past decade, appearance-based gaze estimation has attracted great attention from both computer vision and human-computer interaction research communitie...	[]	Train
32,902	23	Title: Revisiting the Plastic Surgery Hypothesis via Large Language Models Abstract: Automated Program Repair (APR) aspires to automatically generate patches for an input buggy program. Traditional APR tools typically focus on specific bug types and fixes through the use of templates, heuristics, and formal specificati...	[ 42577 ]	Train
32,903	6	Title: Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization Abstract: The interplay between mood and eating has been the subject of extensive research within the fields of nutrition and behavioral science, indicating a strong connection between the two. Further, phone sensor dat...	[ 10932, 44798 ]	Test
32,904	30	Title: Clickbait Detection via Large Language Models Abstract: Clickbait, which aims to induce users with some surprising and even thrilling headlines for increasing click-through rates, permeates almost all online content publishers, such as news portals and social media. Recently, Large Language Models (LLMs) have em...	[]	Test
32,905	16	Title: Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision Abstract: Early detection and tracking of ejecta in the vicinity of small solar system bodies is crucial to guarantee spacecraft safety and support scientific observation. During the visit of active asteroid Bennu, the OSIRIS-REx space...	[]	Train
32,906	16	Title: GAM : Gradient Attention Module of Optimization for Point Clouds Analysis Abstract: In the point cloud analysis task, the existing local feature aggregation descriptors (LFAD) do not fully utilize the neighborhood information of center points. Previous methods only use the distance information to constrain the l...	[]	Train
32,907	16	Title: Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning Abstract: Structural magnetic resonance imaging (sMRI) provides accurate estimates of the brain's structural organization and learning invariant brain representations from sMRI ...	[ 13744, 7607 ]	Test
32,908	16	Title: Learning Photometric Feature Transform for Free-form Object Scan Abstract: We propose a novel framework to automatically learn to aggregate and transform photometric measurements from multiple unstructured views into spatially distinctive and view-invariant low-level features, which are fed to a multi-view stere...	[ 21358 ]	Train
32,909	16	Title: TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution Abstract: The goal of scene text image super-resolution is to reconstruct high-resolution text-line images from unrecognizable low-resolution inputs. The existing methods relying on the optimization of pixel-level loss tend to ...	[ 23504, 44987, 44231 ]	Test
32,910	2	Title: Formally Verified Animation for RoboChart Using Interaction Trees Abstract: nan	[ 39029 ]	Train
32,911	24	Title: Scalable Deep Learning for RNA Secondary Structure Prediction Abstract: The field of RNA secondary structure prediction has made significant progress with the adoption of deep learning techniques. In this work, we present the RNAformer, a lean deep learning model using axial attention and recycling in the latent...	[]	Train
32,912	10	Title: A Refutation of Shapley Values for Explainability Abstract: Recent work demonstrated the existence of Boolean functions for which Shapley values provide misleading information about the relative importance of features in rule-based explanations. Such misleading information was broadly categorized into a number o...	[]	Validation
32,913	16	Title: Semantic Image Completion and Enhancement using GANs Abstract: nan	[]	Test
32,914	16	Title: Rotation Synchronization via Deep Matrix Factorization Abstract: In this paper we address the rotation synchronization problem, where the objective is to recover absolute rotations starting from pairwise ones, where the unknowns and the measures are represented as nodes and edges of a graph, respectively. This p...	[]	Train
32,915	30	Title: Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models Abstract: Pretrained language models (PLMs) have shown marvelous improvements across various NLP tasks. Most Chinese PLMs simply treat an input text as a sequence of characters, and completely ignore word in...	[ 26730 ]	Validation
32,916	28	Title: Channel Modeling and Multi-User Precoding for Tri-Polarized Holographic MIMO Communications Abstract: This paper studies the exploitation of triple polarization (TP) for multi-user (MU) holographic multiple-input multiple-output surface (HMIMOS) wireless communication systems, aiming at capacity boosting without...	[]	Train
32,917	24	Title: TrafFormer: A Transformer Model for Predicting Long-term Traffic Abstract: Traffic prediction is a flourishing research field due to its importance in human mobility in the urban space. Despite this, existing studies only focus on short-term prediction of up to few hours in advance, with most being up to one hou...	[]	Train
32,918	38	Title: The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles Abstract: Online academic profiles are used by scholars to reflect a desired image to their online audience. In Google Scholar, scholars can select a subset of co-authors for presentation in a central location on thei...	[]	Train
32,919	24	Title: M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning Abstract: Inspired by the successful application of contrastive learning on graphs, researchers attempt to impose graph contrastive learning approaches on heterogeneous information networks. Orthogonal to homogeneous graphs, the ty...	[]	Train
32,920	6	Title: Designing Interfaces for Human-Computer Communication: An On-Going Collection of Considerations Abstract: While we do not always use words, communicating what we want to an AI is a conversation -- with ourselves as well as with it, a recurring loop with optional steps depending on the complexity of the situation...	[]	Test
32,921	30	Title: Mind meets machine: Unravelling GPT-4's cognitive psychology Abstract: Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large language models (LLMs) are emerging as potent tools increasingly capable of performing human-level ta...	[ 40192, 33220, 7239, 5611, 40876, 32239, 39600, 17650, 45659, 6747 ]	Train
32,922	27	Title: Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling Abstract: Manual oropharyngeal (OP) swab sampling is an intensive and risky task. In this article, a novel OP swab sampling device of low cost and high compliance is designed by combining the visuo-tactile sensor and the p...	[ 16484 ]	Train
32,923	24	Title: Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense Abstract: While having achieved great success in rich real-life applications, deep neural network (DNN) models have long been criticized for their vulnerability to adversarial attacks. Tremendous research efforts have been ...	[]	Validation
32,924	28	Title: A Review of Codebooks for CSI Feedback in 5G New Radio and Beyond Abstract: Codebooks have been indispensable for wireless communication standard since the first release of the Long-Term Evolution in 2009. They offer an efficient way to acquire the channel state information (CSI) for multiple antenna systems. No...	[ 37366 ]	Train
32,925	28	Title: Mathematical Model of Quantum Channel Capacity Abstract: In this article, we are proposing a closed-form solution for the capacity of the single quantum channel. The Gaussian distributed input has been considered for the analytical calculation of the capacity. In our previous couple of papers, we invoked models ...	[]	Train
32,926	24	Title: Improving deep learning precipitation nowcasting by using prior knowledge Abstract: Deep learning methods dominate short-term high-resolution precipitation nowcasting in terms of prediction error. However, their operational usability is limited by difficulties explaining dynamics behind the predictions, which ar...	[]	Test
32,927	24	Title: Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Abstract: Research has shown that deep networks tend to be overly optimistic about their predictions, leading to an underestimation of prediction errors. Due to the limited nature of data, existing studies have proposed vario...	[]	Train
32,928	4	Title: On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation Abstract: Privacy protection with synthetic data generation often uses differentially private statistics and model parameters to quantitatively express theoretical security. However, these methods do not take into account privacy protect...	[ 34788, 45104, 15061, 41657, 3548 ]	Test
32,929	16	Title: Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs Abstract: Magnetic Resonance Imaging allows high resolution data acquisition with the downside of motion sensitivity due to relatively long acquisition times. Even during the acquisition of a single 2D slice, motio...	[]	Train
32,930	24	Title: Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? Abstract: In this paper we present a novel method, Knowledge Persistence (), for faster evaluation of Knowledge Graph (KG) completion approaches. Current ranking-based evaluation is quadratic in the siz...	[]	Train
32,931	24	Title: Rating-based Reinforcement Learning Abstract: This paper develops a novel rating-based reinforcement learning approach that uses human ratings to obtain human guidance in reinforcement learning. Different from the existing preference-based and ranking-based reinforcement learning paradigms, based on human relati...	[ 14373 ]	Train
32,932	23	Title: Understanding the Time to First Response in GitHub Pull Requests Abstract: The pull-based development is widely adopted in modern open-source software (OSS) projects, where developers propose changes to the codebase by submitting a pull request (PR). However, due to many reasons, PRs in OSS projects frequently e...	[]	Train
32,933	24	Title: Graph Generation with Destination-Predicting Diffusion Mixture Abstract: Generation of graphs is a major challenge for real-world tasks that require understanding the complex nature of their non-Euclidean structures. Although diffusion models have achieved notable success in graph generation recently, they are i...	[ 36483 ]	Test
32,934	34	Title: Optimal Fully Dynamic k-Center Clustering for Adaptive and Oblivious Adversaries Abstract: In fully dynamic clustering problems, a clustering of a given data set in a metric space must be maintained while it is modified through insertions and deletions of individual points. In this paper, we resolve the complexi...	[ 31858, 36474, 21261, 28942 ]	Train
32,935	30	Title: Perturbation-Based Self-Supervised Attention for Attention Bias in Text Classification Abstract: In text classification, the traditional attention mechanisms usually focus too much on frequent words, and need extensive labeled data in order to learn. This article proposes a perturbation-based self-supervised att...	[]	Validation
32,936	21	Title: Data Science: A Systematic Treatment Abstract: There has been an increasing recognition of the value of data and of data-based decision making. As a consequence, the development of data science as a field of study has intensified in recent years. However, there is no systematic and comprehensive treatment and un...	[]	Train
32,937	25	Title: Direction Specific Ambisonics Source Separation with End-To-End Deep Learning Abstract: Ambisonics is a scene-based spatial audio format that has several useful features compared to object-based formats, such as efficient whole scene rotation and versatility. However, it does not provide direct access to the ind...	[]	Train
32,938	3	Title: Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities Abstract: Disadvantaged communities (DAC), as defined by the Justice40 initiative of the Department of Energy (DOE), USA, identifies census tracts across the USA to determine where benefits of climate and energy inve...	[]	Train
32,939	25	Title: Dual input neural networks for positional sound source localization Abstract: nan	[]	Train
32,940	30	Title: You Can Generate It Again: Data-to-text Generation with Verification and Correction Prompting Abstract: Despite significant advancements in existing models, generating text descriptions from structured data input, known as data-to-text generation, remains a challenging task. In this paper, we propose a novel app...	[]	Train
32,941	20	Title: Hausdorff and Gromov-Hausdorff Stable Subsets of the Medial Axis Abstract: In this paper we introduce a pruning of the medial axis called the (λ,α)-medial axis (axλα). We prove that the (λ,α)-medial axis of a set K is stable in a Gromov-Hausdorff sense under weak assumptions. More formally we prove that if K and...	[]	Train
32,942	24	Title: Beyond Transformers for Function Learning Abstract: The ability to learn and predict simple functions is a key aspect of human intelligence. Recent works have started to explore this ability using transformer architectures, however it remains unclear whether this is sufficient to recapitulate the extrapolation a...	[]	Train
32,943	27	Title: Energy Efficient Personalized Hand-Gesture Recognition with Neuromorphic Computing Abstract: Hand gestures are a form of non-verbal communication that is used in social interaction and it is therefore required for more natural human-robot interaction. Neuromorphic (brain-inspired) computing offers a low-power so...	[]	Train
32,944	30	Title: PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing Abstract: The scaling of large language models has greatly improved natural language understanding, generation, and reasoning. In this work, we develop a system that trained a trillion-parameter language model on a cluster of ...	[ 40192, 33220, 17382, 31274, 4639, 37806, 23826, 10163, 29714, 30324, 38229, 24087, 3999, 32831, 17375 ]	Train
32,945	28	Title: Reversible and Reversible Complement Cyclic codes over a class of non-chain rings Abstract: In this paper, necessary and sufficient conditions for a cyclic code of arbitrary length over the non-chain rings $Z_{4}+\nu Z_{4}$ for $\nu^{2} \in \{0,1,\nu,2\nu,3\nu,2+\nu,2+3\nu,3+2\nu\}$ to be a reversible cyclic cod...	[]	Validation
32,946	30	Title: Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning Abstract: Fine-tuning large pre-trained language models on various downstream tasks with whole parameters is prohibitively expensive. Hence, Parameter-efficient fine-tuning has attracted attention that only optimizes a few task-spe...	[]	Test
32,947	16	Title: Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting Abstract: Pre-trained language models (PLMs) have played an increasing role in multimedia research. In terms of vision-language (VL) tasks, they often serve as a language encoder and still require an additional fusion netw...	[ 10624, 32034, 37987, 13700, 38011 ]	Test
32,948	3	Title: AgroTIC: Bridging the gap between farmers, agronomists, and merchants through smartphones and machine learning Abstract: In recent years, fast technological advancements have led to the development of high-quality software and hardware, revolutionizing various industries such as the economy, health, industry, an...	[]	Train
32,949	24	Title: Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem Abstract: In many real world settings binary classification decisions are made based on limited data in near real-time, e.g. when assessing a loan application. We focus on a class of these problems that share a common featu...	[]	Train
32,950	16	Title: FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes Abstract: We introduce a novel approach for monocular novel view synthesis of dynamic scenes. Existing techniques already show impressive rendering quality but tend to focus on optimization within a single scene without...	[ 9706 ]	Test
32,951	16	Title: Efficient Controllable Multi-Task Architectures Abstract: We aim to train a multi-task model such that users can adjust the desired compute budget and relative importance of task performances after deployment, without retraining. This enables optimizing performance for dynamically varying user needs, without hea...	[]	Train
32,952	16	Title: HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance Abstract: Automatic text-to-3D synthesis has achieved remarkable advancements through the optimization of 3D models. Existing methods commonly rely on pre-trained text-to-image generative models, such as diffusion models, providing scores for 2D ren...	[ 3912, 26625, 11474, 28436 ]	Train
32,953	39	Title: Strong regulatory graphs Abstract: Logical modeling is a powerful tool in biology, offering a system-level understanding of the complex interactions that govern biological processes. A gap that hinders the scalability of logical models is the need to specify the update function of every vertex in the network dep...	[]	Train
32,954	10	Title: OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning Abstract: Graph domain adaptation models are widely adopted in cross-network learning tasks, with the aim of transferring labeling or structural knowledge. Currently, there mainly exist two limitations in evaluating graph domain adaptation mod...	[]	Train
32,955	24	Title: FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid Abstract: Protecting data privacy is paramount in the fields such as finance, banking, and healthcare. Federated Learning (FL) has attracted widespread attention due to its decentralized, distributed ...	[ 33330 ]	Train
32,956	37	Title: The Interplay Between High-Level Problems and the Process Instances that Give Rise to Them Abstract: nan	[]	Train
32,957	24	Title: The expressive power of pooling in Graph Neural Networks Abstract: In Graph Neural Networks (GNNs), hierarchical pooling operators generate local summaries of the data by coarsening the graph structure and the vertex features. Considerable attention has been devoted to analyzing the expressive power of message-p...	[ 7729, 1876, 29921 ]	Train
32,958	20	Title: Extending Orthogonal Planar Graph Drawings is Fixed-Parameter Tractable Abstract: The task of finding an extension to a given partial drawing of a graph while adhering to constraints on the representation has been extensively studied in the literature, with well-known results providing efficient algorithms for f...	[]	Train
32,959	23	Title: Introducing Interactions in Multi-Objective Optimization of Software Architectures Abstract: Software architecture optimization aims to enhance non-functional attributes like performance and reliability while meeting functional requirements. Multi-objective optimization employs metaheuristic search techniques, s...	[ 4353 ]	Train
32,960	16	Title: Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection Abstract: Prompt tuning with large-scale pretrained vision-language models empowers open-vocabulary predictions trained on limited base categories, e.g., object classification and detection. In this paper, we propose compos...	[ 31558, 41261, 29582, 13805, 19710 ]	Train
32,961	28	Title: Proactive Content Caching Scheme in Urban Vehicular Networks Abstract: Stream media content caching is a key enabling technology to promote the value chain of future urban vehicular networks. Nevertheless, the high mobility of vehicles, intermittency of information transmissions, high dynamics of user requests, ...	[]	Test
32,962	24	Title: On the curvature of the loss landscape Abstract: One of the main challenges in modern deep learning is to understand why such over-parameterized models perform so well when trained on finite data. A way to analyze this generalization concept is through the properties of the associated loss landscape. In this wor...	[ 36963 ]	Train
32,963	16	Title: Edge-aware Plug-and-play Scheme for Semantic Segmentation Abstract: Semantic segmentation is a classic and fundamental computer vision problem dedicated to assigning each pixel with its corresponding class. Some recent methods introduce edge-based information for improving the segmentation performance. However t...	[]	Train
32,964	37	Title: Efficient Non-Learning Similar Subtrajectory Search Abstract: Similar subtrajectory search is a finer-grained operator that can better capture the similarities between one query trajectory and a portion of a data trajectory than the traditional similar trajectory search, which requires that the two checking tr...	[]	Train
32,965	16	Title: High-Throughput and Accurate 3D Scanning of Cattle Using Time-of-Flight Sensors and Deep Learning Abstract: We introduce a high throughput 3D scanning solution specifically designed to precisely measure cattle phenotypes. This scanner leverages an array of depth sensors, i.e. time-of-flight (Tof) sensors, each g...	[]	Train
32,966	30	Title: Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes Abstract: Language models (LMs) can perform complex reasoning either end-to-end, with hidden latent state, or compositionally, with transparent intermediate state. Composition offers benefits for interpretability and safety, but may...	[ 29604, 36754, 42165, 18041, 20794 ]	Train
32,967	16	Title: Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement Abstract: Ultra-High-Definition (UHD) photo has gradually become the standard configuration in advanced imaging devices. The new standard unveils many issues in existing approaches for low-light image enhancement (LLIE), especially in dealin...	[ 34402, 4613, 2183, 35344, 17019, 34875 ]	Test
32,968	30	Title: Pluggable Neural Machine Translation Models via Memory-augmented Adapters Abstract: Although neural machine translation (NMT) models perform well in the general domain, it remains rather challenging to control their generation behavior to satisfy the requirement of different users. Given the expensive training c...	[]	Test
32,969	2	Title: Meta-MeTTa: an operational semantics for MeTTa Abstract: We present an operational semantics for the language MeTTa.	[]	Train
32,970	24	Title: A Circuit Complexity Formulation of Algorithmic Information Theory Abstract: Inspired by Solomonoffs theory of inductive inference, we propose a prior based on circuit complexity. There are several advantages to this approach. First, it relies on a complexity measure that does not depend on the choice of UTM. Th...	[]	Train
32,971	27	Title: Perceiving Unseen 3D Objects by Poking the Objects Abstract: We present a novel approach to interactive 3D object perception for robots. Unlike previous perception algorithms that rely on known object models or a large amount of annotated training data, we propose a poking-based approach that automatically disco...	[ 39232 ]	Train
32,972	24	Title: Pupil Learning Mechanism Abstract: Studies on artificial neural networks rarely address both vanishing gradients and overfitting issues. In this study, we follow the pupil learning procedure, which has the features of interpreting, picking, understanding, cramming, and organizing, to derive the pupil learning me...	[]	Train
32,973	24	Title: Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection Abstract: Both transduction and rejection have emerged as important techniques for defending against adversarial perturbations. A recent work by Tram\`er showed that, in the rejection-only case (no transd...	[]	Validation
32,974	24	Title: Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Abstract: Goal-conditioned reinforcement learning (RL) is an interesting extension of the traditional RL framework, where the dynamic environment and reward sparsity can cause conventional learning algorithms to fail. Reward shaping ...	[]	Validation
32,975	24	Title: On the ISS Property of the Gradient Flow for Single Hidden-Layer Neural Networks with Linear Activations Abstract: Recent research in neural networks and machine learning suggests that using many more parameters than strictly required by the initial complexity of a regression problem can result in more accurate ...	[]	Test
32,976	27	Title: Optimal decision making in robotic assembly and other trial-and-error tasks Abstract: We present an analytical model for when to preempt a failing robotic trial-and-error task to maximize time efﬁciency.	[]	Train
32,977	26	Title: Flocking to Mastodon: Tracking the Great Twitter Migration Abstract: The acquisition of Twitter by Elon Musk has spurred controversy and uncertainty among Twitter users. The move raised as many praises as concerns, particularly regarding Musk's views on free speech. As a result, a large number of Twitter users h...	[ 20772, 28041, 21100, 12952, 44120 ]	Train

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