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
31,678	33	Title: Invariants and Home Spaces in Transition Systems and Petri Nets Abstract: This lecture note focuses on comparing the notions of invariance and home spaces in Transition Systems and more particularly, in Petri Nets. We also describe how linear algebra relates to these basic notions in Computer Science, how it can...	[]	Train
31,679	2	Title: A Majority Logic Synthesis Framework For Single Flux Quantum Circuits Abstract: Exascale computing and its associated applications have required increasing degrees of efficiency. Semiconductor-Transistor-based Circuits (STbCs) have struggled with increasing the GHz frequency while dealing with power dissipation ...	[]	Train
31,680	16	Title: Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Abstract: Deep neural networks (DNNs) are machine learning algorithms that have revolutionised computer vision due to their remarkable successes in tasks like object classification and segmentation. The success of DNNs as computer v...	[ 37070 ]	Train
31,681	28	Title: Maximum weight codewords of a linear rank metric code Abstract: Let $\mathcal{C}\subseteq \mathbb{F}_{q^m}^n$ be an $\mathbb{F}_{q^m}$-linear non-degenerate rank metric code with dimension $k$. In this paper we investigate the problem of determining the number $M(\mathcal{C})$ of codewords in $\mathcal{C}$ with ...	[]	Train
31,682	30	Title: FullStop: Punctuation and Segmentation Prediction for Dutch with Transformers Abstract: When applying automated speech recognition (ASR) for Belgian Dutch (Van Dyck et al. 2021), the output consists of an unsegmented stream of words, without any punctuation. A next step is to perform segmentation and insert punc...	[ 15834 ]	Train
31,683	16	Title: MotionTrack: Learning Motion Predictor for Multiple Object Tracking Abstract: Significant advancements have been made in multi-object tracking (MOT) with the development of detection and re-identification (ReID) techniques. Despite these developments, the task of accurately tracking objects in scenarios with hom...	[]	Train
31,684	27	Title: Computing Motion Plans for Assembling Particles with Global Control Abstract: We investigate motion planning algorithms for the assembly of shapes in the \emph{tilt model} in which unit-square tiles move in a grid world under the influence of uniform external forces and self-assemble according to certain rules. ...	[]	Train
31,685	24	Title: Physics-informed machine learning for moving load problems Abstract: This paper presents a new approach to simulate forward and inverse problems of moving loads using physics-informed machine learning (PIML). Physics-informed neural networks (PINNs) utilize the underlying physics of moving load problems and aim ...	[ 2124, 19527 ]	Train
31,686	27	Title: Affective Computing for Human-Robot Interaction Research: Four Critical Lessons for the Hitchhiker Abstract: Social Robotics and Human-Robot Interaction (HRI) research relies on different Affective Computing (AC) solutions for sensing, perceiving and understanding human affective behaviour during interactions. T...	[]	Test
31,687	30	Title: MisRoBÆRTa: Transformers versus Misinformation Abstract: Misinformation is considered a threat to our democratic values and principles. The spread of such content on social media polarizes society and undermines public discourse by distorting public perceptions and generating social unrest while lacking the rigo...	[ 20268, 23406, 4115, 23927, 39903 ]	Train
31,688	6	Title: NaMemo2: Facilitating Teacher-Student Interaction with Theory-Based Design and Student Autonomy Consideration Abstract: Teacher-student interaction (TSI) is essential for learning efficiency and harmonious teacher-student interpersonal relationships. However, studies on TSI support tools often focus on teacher n...	[]	Train
31,689	24	Title: Improving Long-Horizon Imitation Through Instruction Prediction Abstract: Complex, long-horizon planning and its combinatorial nature pose steep challenges for learning-based agents. Difficulties in such settings are exacerbated in low data regimes where over-fitting stifles generalization and compounding errors...	[]	Train
31,690	30	Title: Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages Abstract: This paper describes our participation in the shared task of hate speech detection, which is one of the subtasks of the CERIST NLP Challenge 2022. Our experiments evaluate the performance of six transformer mode...	[ 2298 ]	Validation
31,691	24	Title: DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference Abstract: Bayesian inference provides a principled framework for learning from complex data and reasoning under uncertainty. It has been widely applied in machine learning tasks such as medical diagnosis, drug design, ...	[]	Train
31,692	24	Title: ResMem: Learn what you can and memorize the rest Abstract: The impressive generalization performance of modern neural networks is attributed in part to their ability to implicitly memorize complex training patterns. Inspired by this, we explore a novel mechanism to improve model generalization via explicit memor...	[]	Validation
31,693	34	Title: Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary Abstract: We consider online scheduling on unrelated (heterogeneous) machines in a speed-oblivious setting, where an algorithm is unaware of the exact job-dependent processing speeds. We show strong impossibility results for clairvoyant...	[]	Train
31,694	5	Title: Partitioning Strategies for Distributed SMT Solving Abstract: For many users of Satisfiability Modulo Theories (SMT) solvers, the solver's performance is the main bottleneck in their application. One promising approach for improving performance is to leverage the increasing availability of parallel and cloud com...	[]	Validation
31,695	28	Title: Resource Management for IRS-assisted WP-MEC Networks with Practical Phase Shift Model Abstract: Wireless powered mobile edge computing (WP-MEC) has been recognized as a promising solution to enhance the computational capability and sustainable energy supply for low-power wireless devices (WDs). However, when the...	[]	Validation
31,696	24	Title: BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition Abstract: In real-world scenarios like traffic and energy, massive time-series data with missing values and noises are widely observed, even sampled irregularly. While many imputation methods have been proposed, most of t...	[ 35042, 32869, 44622 ]	Train
31,697	24	Title: Semantic Multi-Resolution Communications Abstract: Deep learning based joint source-channel coding (JSCC) has demonstrated significant advancements in data reconstruction compared to separate source-channel coding (SSCC). This superiority arises from the suboptimality of SSCC when dealing with finite block-lengt...	[]	Validation
31,698	13	Title: Optimizing L1 cache for embedded systems through grammatical evolution Abstract: nan	[ 35151 ]	Train
31,699	24	Title: Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning Abstract: Hypergraphs can naturally model group-wise relations (e.g., a group of users who co-purchase an item) as hyperedges. Hyperedge prediction is to predict future or unobserved hyperedges, which is a fundamental task in many real-wo...	[]	Train
31,700	31	Title: Revisiting Table Detection Datasets for Visually Rich Documents Abstract: Table Detection has become a fundamental task for visually rich document understanding with the surging number of electronic documents. There have been some open datasets widely used in many studies. However, popular available datasets hav...	[ 16223 ]	Validation
31,701	30	Title: Self-Consistent Learning: Cooperation between Generators and Discriminators Abstract: Using generated data to improve the performance of downstream discriminative models has recently gained popularity due to the great development of pre-trained language models. In most previous studies, generative models and dis...	[]	Validation
31,702	10	Title: Utilization of domain knowledge to improve POMDP belief estimation Abstract: The partially observable Markov decision process (POMDP) framework is a common approach for decision making under uncertainty. Recently, multiple studies have shown that by integrating relevant domain knowledge into POMDP belief estimat...	[]	Train
31,703	31	Title: Learning to Relate to Previous Turns in Conversational Search Abstract: Conversational search allows a user to interact with a search system in multiple turns. A query is strongly dependent on the conversation context. An effective way to improve retrieval effectiveness is to expand the current query with histor...	[ 35311 ]	Test
31,704	24	Title: Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training Abstract: The surge in multimodal AI's success has sparked concerns over data privacy in vision-and-language tasks. While CLIP has revolutionized multimodal learning through joint training on images and text, its potential to ...	[ 45104, 4618, 17252 ]	Train
31,705	4	Title: VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing Abstract: Vertical Federated Learning (VFL) has emerged as one of the most predominant approaches for secure collaborative machine learning where the training data is partitioned by features among multiple parties. Most V...	[ 23974 ]	Train
31,706	36	Title: Settling the Score: Portioning with Cardinal Preferences Abstract: We study a portioning setting in which a public resource such as time or money is to be divided among a given set of candidates, and each agent proposes a division of the resource. We consider two families of aggregation rules for this setting - ...	[ 30097 ]	Train
31,707	16	Title: State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems Abstract: Adversarial attacks can mislead deep learning models to make false predictions by implanting small perturbations to the original input that are imperceptible to the human eye, which poses a huge securi...	[ 11443, 39348 ]	Train
31,708	10	Title: Towards an architectural framework for intelligent virtual agents using probabilistic programming Abstract: We present a new framework called KorraAI for conceiving and building embodied conversational agents (ECAs). Our framework models ECAs' behavior considering contextual information, for example, about envir...	[]	Train
31,709	2	Title: Proofs about Network Communication: For Humans and Machines Abstract: Many concurrent and distributed systems are safety-critical and therefore have to provide a high degree of assurance. Important properties of such systems are frequently proved on the specification level, but implementations typically deviate ...	[]	Train
31,710	16	Title: Self-supervised adversarial masking for 3D point cloud representation learning Abstract: Self-supervised methods have been proven effective for learning deep representations of 3D point cloud data. Although recent methods in this domain often rely on random masking of inputs, the results of this approach can be ...	[]	Train
31,711	16	Title: DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting Abstract: Multi-class cell detection and counting is an essential task for many pathological diagnoses. Manual counting is tedious and often leads to inter-observer variations among pathologists. While there exist multiple, g...	[]	Train
31,712	8	Title: A New Intelligent Cross-Domain Routing Method in SDN Based on a Proposed Multiagent Reinforcement Learning Algorithm Abstract: Message transmission and message synchronization for multicontroller interdomain routing in software-defined networking (SDN) have long adaptation times and slow convergence speeds, coup...	[]	Validation
31,713	30	Title: BatchPrompt: Accomplish more with less Abstract: As the ever-increasing token limits of large language models (LLMs) have enabled long context as input, prompting with single data samples might no longer an efficient way. A straightforward strategy improving efficiency is to batch data within the token limit (e....	[ 39873, 40610, 35117, 22578, 41554, 5078 ]	Validation
31,714	31	Title: A Survey on Incremental Update for Neural Recommender Systems Abstract: Recommender Systems (RS) aim to provide personalized suggestions of items for users against consumer over-choice. Although extensive research has been conducted to address different aspects and challenges of RS, there still exists a gap betw...	[ 26678, 32441, 15836, 21302 ]	Validation
31,715	8	Title: Adaptive Control of IoT/M2M Devices in Smart Buildings Using Heterogeneous Wireless Networks Abstract: With the rapid development of wireless communication technology, the Internet of Things (IoT) and machine-to-machine (M2M) are becoming essential for many applications. One of the most emblematic IoT/M2M applic...	[]	Test
31,716	16	Title: AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers Abstract: In this paper, we present a new method that reformulates point cloud completion as a set-to-set translation problem and design a new model, called PoinTr, which adopts a Transformer encoder-decoder architecture for poin...	[]	Train
31,717	30	Title: Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models Abstract: Anonymity of both natural and legal persons in court rulings is a critical aspect of privacy protection in the European Union and Switzerland. With the advent of LLMs, concerns about large-scale re-identification of an...	[ 25953, 39873, 13700, 25892, 33220, 26282, 2347, 30323, 43641, 29375 ]	Validation
31,718	24	Title: An SDE for Modeling SAM: Theory and Insights Abstract: We study the SAM (Sharpness-Aware Minimization) optimizer which has recently attracted a lot of interest due to its increased performance over more classical variants of stochastic gradient descent. Our main contribution is the derivation of continuous-time ...	[ 1136, 14949 ]	Test
31,719	27	Title: Human-Centered Autonomy for UAS Target Search Abstract: Current methods of deploying robots that operate in dynamic, uncertain environments, such as Uncrewed Aerial Systems in search \&rescue missions, require nearly continuous human supervision for vehicle guidance and operation. These methods do not consider h...	[]	Validation
31,720	24	Title: AFN: Adaptive Fusion Normalization via Encoder-Decoder Framework Abstract: The success of deep learning is inseparable from normalization layers. Researchers have proposed various normalization functions, and each of them has both advantages and disadvantages. In response, efforts have been made to design a unif...	[]	Train
31,721	24	Title: On Pitfalls of RemOve-And-Retrain: Data Processing Inequality Perspective Abstract: Approaches for appraising feature importance approximations, alternatively referred to as attribution methods, have been established across an extensive array of contexts. The development of resilient techniques for performance b...	[]	Validation
31,722	16	Title: RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning Abstract: Existing Transformer-based RGBT tracking methods either use cross-attention to fuse the two modalities, or use self-attention and cross-attention to model both modality-specific and modality-sharing information. However, ...	[ 38734 ]	Validation
31,723	24	Title: Optimistic Meta-Gradients Abstract: We study the connection between gradient-based meta-learning and convex optimisation. We observe that gradient descent with momentum is a special case of meta-gradients, and building on recent results in optimisation, we prove convergence rates for meta-learning in the single ...	[ 6674, 42764 ]	Test
31,724	25	Title: MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting Abstract: We present MParrotTTS, a unified multilingual, multi-speaker text-to-speech (TTS) synthesis model that can produce high-quality speech. Benefiting from a modularized training paradigm exploiting self-supervised spee...	[]	Train
31,725	27	Title: Robotic Perception-Motion Synergy for Novel Rope Wrapping Tasks Abstract: This letter introduces a novel and general method to address the problem of using a general-purpose robot manipulator with a parallel gripper to wrap a deformable linear object (DLO), called a rope, around a rigid object, called a rod, aut...	[ 8842 ]	Train
31,726	27	Title: Autonomous Exploration and Mapping for Mobile Robots via Cumulative Curriculum Reinforcement Learning Abstract: Deep reinforcement learning (DRL) has been widely applied in autonomous exploration and mapping tasks, but often struggles with the challenges of sampling efficiency, poor adaptability to unknown map s...	[]	Train
31,727	25	Title: Dynamic Alignment Mask CTC: Improved Mask-CTC with Aligned Cross Entropy Abstract: Because of predicting all the target tokens in parallel, the non-autoregressive models greatly improve the decoding efficiency of speech recognition compared with traditional autoregressive models. In this work, we present dynamic...	[ 9873 ]	Test
31,728	24	Title: Taming Small-sample Bias in Low-budget Active Learning Abstract: Active learning (AL) aims to minimize the annotation cost by only querying a few informative examples for each model training stage. However, training a model on a few queried examples suffers from the small-sample bias. In this paper, we address t...	[]	Train
31,729	16	Title: Audio-Visual Contrastive Learning with Temporal Self-Supervision Abstract: We propose a self-supervised learning approach for videos that learns representations of both the RGB frames and the accompanying audio without human supervision. In contrast to images that capture the static scene appearance, videos als...	[ 2827 ]	Train
31,730	24	Title: Beyond In-Domain Scenarios: Robust Density-Aware Calibration Abstract: Calibrating deep learning models to yield uncertainty-aware predictions is crucial as deep neural networks get increasingly deployed in safety-critical applications. While existing post-hoc calibration methods achieve impressive results on in...	[]	Validation
31,731	26	Title: Semantic communications, semantic edge computing, and semantic caching Abstract: The increasing popularity of applications like the Metaverse has led to the exploration of new, more effective ways of communication. Semantic communication, which focuses on the meaning behind transmitted information, represents a ...	[]	Test
31,732	10	Title: Graph Edit Distance Learning via Different Attention Abstract: Recently, more and more research has focused on using Graph Neural Networks (GNN) to solve the Graph Similarity Computation problem (GSC), i.e., computing the Graph Edit Distance (GED) between two graphs. These methods treat GSC as an end-to-end lear...	[]	Test
31,733	24	Title: A Survey on Protein Representation Learning: Retrospect and Prospect Abstract: Proteins are fundamental biological entities that play a key role in life activities. The amino acid sequences of proteins can be folded into stable 3D structures in the real physicochemical world, forming a special kind of sequence-s...	[ 39676 ]	Train
31,734	24	Title: Probabilistic Constraint for Safety-Critical Reinforcement Learning Abstract: In this paper, we consider the problem of learning safe policies for probabilistic-constrained reinforcement learning (RL). Specifically, a safe policy or controller is one that, with high probability, maintains the trajectory of the a...	[]	Test
31,735	24	Title: Self-Explainable Graph Neural Networks for Link Prediction Abstract: Graph Neural Networks (GNNs) have achieved state-of-the-art performance for link prediction. However, GNNs suffer from poor interpretability, which limits their adoptions in critical scenarios that require knowing why certain links are predicte...	[]	Train
31,736	9	Title: Heuristics Optimization of Boolean Circuits with application in Attribute Based Encryption Abstract: We propose a method of optimizing monotone Boolean circuits by re-writing them in a simpler, equivalent form. We use in total six heuristics: Hill Climbing, Simulated Annealing, and variations of them, which oper...	[]	Train
31,737	16	Title: Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation Abstract: One central challenge in source-free unsupervised domain adaptation (UDA) is the lack of an effective approach to evaluate the prediction results of the adapted network model in the target domain. To address this challenge, we pr...	[ 24112, 4275 ]	Test
31,738	16	Title: Counterfactual Edits for Generative Evaluation Abstract: Evaluation of generative models has been an underrepresented field despite the surge of generative architectures. Most recent models are evaluated upon rather obsolete metrics which suffer from robustness issues, while being unable to assess more aspects o...	[ 31033 ]	Train
31,739	27	Title: ForestTrav: Accurate, Efficient and Deployable Forest Traversability Estimation for Autonomous Ground Vehicles Abstract: Autonomous navigation in unstructured vegetated environments remains an open challenge. To successfully operate in these settings, ground vehicles must assess the traversability of the environ...	[ 26773 ]	Test
31,740	16	Title: Use the Detection Transformer as a Data Augmenter Abstract: Detection Transformer (DETR) is a Transformer architecture based object detection model. In this paper, we demonstrate that it can also be used as a data augmenter. We term our approach as DETR assisted CutMix, or DeMix for short. DeMix builds on CutMix...	[]	Test
31,741	8	Title: Learning to Schedule in Non-Stationary Wireless Networks With Unknown Statistics Abstract: The emergence of large-scale wireless networks with partially-observable and time-varying dynamics has imposed new challenges on the design of optimal control policies. This paper studies efficient scheduling algorithms fo...	[]	Train
31,742	10	Title: Planning as Theorem Proving with Heuristics Abstract: Planning as theorem proving in situation calculus was abandoned 50 years ago as an impossible project. But we have developed a Theorem Proving Lifted Heuristic (TPLH) planner that searches for a plan in a tree of situations using the A* search algorithm. It i...	[]	Train
31,743	27	Title: Enabling BIM-Driven Robotic Construction Workflows with Closed-Loop Digital Twins Abstract: Robots can greatly alleviate physical demands on construction workers while enhancing both the productivity and safety of construction projects. Leveraging a Building Information Model (BIM) offers a natural and promising...	[]	Test
31,744	24	Title: Modularizing while Training: a New Paradigm for Modularizing DNN Models Abstract: Deep neural network (DNN) models have become increasingly crucial components in intelligent software systems. However, training a DNN model is typically expensive in terms of both time and money. To address this issue, researchers ...	[ 38576 ]	Test
31,745	38	Title: Don't follow the leader: Independent thinkers create scientific innovation Abstract: Academic success is distributed unequally; a few top scientists receive the bulk of attention, citations, and resources. However, do these ``superstars"foster leadership in scientific innovation? We introduce three information-t...	[ 11042 ]	Train
31,746	24	Title: Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings Abstract: Graph Neural Networks (GNNs) have achieved a lot of success with graph-structured data. However, it is observed that the performance of GNNs does not improve (or even worsen) as the number of layers increases. This effect has ...	[]	Train
31,747	16	Title: Region Generation and Assessment Network for Occluded Person Re-Identification Abstract: Person Re-identification (ReID) plays a more and more crucial role in recent years with a wide range of applications. Existing ReID methods are suffering from the challenges of misalignment and occlusions, which degrade the ...	[ 38753, 29733, 34982, 4951 ]	Train
31,748	8	Title: UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment Abstract: Both data ferrying with disruption-tolerant networking (DTN) and mobile cellular base stations constitute important techniques for UAV-aided communication in situations of crises where st...	[]	Train
31,749	16	Title: DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion Abstract: While the community of 3D point cloud generation has witnessed a big growth in recent years, there still lacks an effective way to enable intuitive user control in the generation process, hence limiting the general utilit...	[ 21324 ]	Train
31,750	30	Title: Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs Abstract: Clinical evidence encompasses the associations and impacts between patients, interventions (such as drugs or physiotherapy), problems, and outcomes. The goal of recommending clinical evidence is to p...	[]	Train
31,751	4	Title: Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks Abstract: In today's interconnected digital landscape, the proliferation of malware poses a significant threat to the security and stability of computer networks and systems worldwide. As the complexity of malicious ...	[]	Train
31,752	25	Title: Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation Abstract: Neural speech separation has made remarkable progress and its integration with automatic speech recognition (ASR) is an important direction towards realizing multi-speaker ASR. This work provides...	[]	Validation
31,753	24	Title: Dynamic Flows on Curved Space Generated by Labeled Data Abstract: The scarcity of labeled data is a long-standing challenge for many machine learning tasks. We propose our gradient flow method to leverage the existing dataset (i.e., source) to generate new samples that are close to the dataset of interest (i.e.,...	[ 21798, 20222 ]	Train
31,754	16	Title: Adaptively Topological Tensor Network for Multi-view Subspace Clustering Abstract: Multi-view subspace clustering methods have employed learned self-representation tensors from different tensor decompositions to exploit low rank information. However, the data structures embedded with self-representation tensors ...	[ 24977, 38701 ]	Train
31,755	27	Title: Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning Abstract: Long-horizon task planning is essential for the development of intelligent assistive and service robots. In this work, we investigate the applicability of a smaller class of lar...	[ 35427, 43566, 22094, 39823, 7797 ]	Train
31,756	10	Title: Dynamic Scenario Representation Learning for Motion Forecasting With Heterogeneous Graph Convolutional Recurrent Networks Abstract: Due to the complex and changing interactions in dynamic scenarios, motion forecasting is a challenging problem in autonomous driving. Most existing works exploit static road graphs ...	[ 18283 ]	Train
31,757	24	Title: Inhomogeneous graph trend filtering via a l2,0 cardinality penalty Abstract: We study estimation of piecewise smooth signals over a graph. We propose a $\ell_{2,0}$-norm penalized Graph Trend Filtering (GTF) model to estimate piecewise smooth graph signals that exhibit inhomogeneous levels of smoothness across t...	[]	Train
31,758	16	Title: The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture Abstract: Monitoring land cover using remote sensing is vital for studying environmental changes and ensuring global food security through crop yield forecasting. Specifically, multitemporal remo...	[]	Train
31,759	6	Title: BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysis Abstract: In the biomedical domain, taxonomies organize the acquisition modalities of scientific images in hierarchical structures. Such taxonomies leverage large sets of correct image labels and provide essential i...	[]	Train
31,760	16	Title: Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction Abstract: CNNs and Transformers have their own advantages and both have been widely used for dense prediction in multi-task learning (MTL). Most of the current studies on MTL solely rely on CNN or Transformer. In this work, we p...	[ 23717 ]	Train
31,761	28	Title: Bayes Risk Consistency of Nonparametric Classification Rules for Spike Trains Data Abstract: Spike trains data find a growing list of applications in computational neuroscience, imaging, streaming data and finance. Machine learning strategies for spike trains are based on various neural network and probabilistic...	[]	Train
31,762	16	Title: FTSO: Effective NAS via First Topology Second Operator Abstract: Existing one-shot neural architecture search (NAS) methods have to conduct a search over a giant super-net, which leads to the huge computational cost. To reduce such cost, in this paper, we propose a method, called FTSO, to divide the whole archit...	[ 35947, 28 ]	Train
31,763	13	Title: Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation Abstract: Dynamic multi-objective optimisation (DMO) handles optimisation problems with multiple (often conflicting) objectives in varying environments. Such problems pose various challenges to evolutionary algorithms, which have popularly ...	[]	Train
31,764	28	Title: Joint Optimization of Resource Allocation and User Association in Multi-Frequency Cellular Networks Assisted by RIS Abstract: Due to the development of communication technology and the rise of user network demand, a reasonable resource allocation for wireless networks is the key to guaranteeing regular operation...	[]	Validation
31,765	16	Title: Neuromorphic High-Frequency 3D Dancing Pose Estimation in Dynamic Environment Abstract: As a beloved sport worldwide, dancing is getting integrated into traditional and virtual reality-based gaming platforms nowadays. It opens up new opportunities in the technology-mediated dancing space. These platforms primari...	[ 23280 ]	Train
31,766	30	Title: MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation Abstract: Recent work in word sense disambiguation (WSD) utilizes encodings of the sense gloss (definition text), in addition to the input words and context, to improve performance. In this work we demonstrate that this approa...	[]	Train
31,767	30	Title: Joint Event Extraction via Structural Semantic Matching Abstract: Event Extraction (EE) is one of the essential tasks in information extraction, which aims to detect event mentions from text and find the corresponding argument roles. The EE task can be abstracted as a process of matching the semantic definitions...	[]	Train
31,768	30	Title: HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation Abstract: Similes play an imperative role in creative writing such as story and dialogue generation. Proper evaluation metrics are like a beacon guiding the research of simile generation (SG). However, it remains under-explored as to what cri...	[]	Train
31,769	16	Title: Undercover Deepfakes: Detecting Fake Segments in Videos Abstract: The recent renaissance in generative models, driven primarily by the advent of diffusion models and iterative improvement in GAN methods, has enabled many creative applications. However, each advancement is also accompanied by a rise in the potent...	[ 35324, 13510 ]	Test
31,770	30	Title: Abstractive Summarization as Augmentation for Document-Level Event Detection Abstract: Transformer-based models have consistently produced substantial performance gains across a variety of NLP tasks, compared to shallow models. However, deep models are orders of magnitude more computationally expensive than shal...	[]	Train
31,771	30	Title: LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following Abstract: E-commerce authoring involves creating attractive, abundant, and targeted promotional content to drive product sales. The emergence of large language models (LLMs) introduces an innovative paradigm, offering a unified solu...	[ 7936, 40192, 5986, 25892, 13700, 33800, 23860 ]	Test
31,772	30	Title: Yelp Reviews and Food Types: A Comparative Analysis of Ratings, Sentiments, and Topics Abstract: This study examines the relationship between Yelp reviews and food types, investigating how ratings, sentiments, and topics vary across different types of food. Specifically, we analyze how ratings and sentiments of ...	[]	Train
31,773	16	Title: EARL: An Elliptical Distribution Aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images Abstract: Label assignment is a crucial process in object detection, which significantly influences the detection performance by determining positive or negative samples during trainin...	[ 13444 ]	Train
31,774	16	Title: Improved Difference Images for Change Detection Classifiers in SAR Imagery Using Deep Learning Abstract: Satellite-based Synthetic Aperture Radar (SAR) images can be used as a source of remote sensed imagery regardless of cloud cover and day-night cycle. However, the speckle noise and varying image acquisition c...	[]	Validation
31,775	16	Title: CLNeRF: Continual Learning Meets NeRF Abstract: Novel view synthesis aims to render unseen views given a set of calibrated images. In practical applications, the coverage, appearance or geometry of the scene may change over time, with new images continuously being captured. Efficiently incorporating such continu...	[]	Train
31,776	16	Title: Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding Abstract: 3D visual grounding involves finding a target object in a 3D scene that corresponds to a given sentence query. Although many approaches have been proposed and achieved impressive performance, they all requir...	[ 24715, 19677 ]	Train
31,777	14	Title: Drinfeld Modules in SageMath Abstract: We present the first implementation of Drinfeld modules fully integrated in the SageMath ecosystem. First features were released with SageMath 10.0.	[ 35254, 40551 ]	Train

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