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
22,778	24	Title: Riemannian Multiclass Logistics Regression for SPD Neural Networks Abstract: Deep neural networks for learning symmetric positive definite (SPD) matrices are gaining increasing attention in machine learning. Despite the significant progress, most existing SPD networks use traditional Euclidean classifiers on app...	[ 25971 ]	Train
22,779	1	Title: ITportrait: Image-Text Coupled 3D Portrait Domain Adaptation Abstract: Domain adaptation of 3D portraits has gained more and more attention. However, the transfer mechanism of existing methods is mainly based on vision or language, which ignores the potential of vision-language combined guidance. In this paper, ...	[]	Train
22,780	24	Title: Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions Abstract: Model-agnostic feature attributions can provide local insights in complex ML models. If the explanation is correct, a domain expert can validate and trust the model's decision. However, if it contradicts t...	[]	Train
22,781	30	Title: Zero-shot Faithful Factual Error Correction Abstract: Faithfully correcting factual errors is critical for maintaining the integrity of textual knowledge bases and preventing hallucinations in sequence-to-sequence models. Drawing on humans’ ability to identify and correct factual errors, we present a zero-shot f...	[ 1682, 38102, 22422, 22938 ]	Train
22,782	8	Title: xURLCC in 6g with meshed RAN Abstract: 5G Ultra-Reliable Low Latency Communications Technology (URLLC) will not be able to provide extremely reliable low latency services to the complex networks in 6G. Moreover, URLLC that began with 5G has to be refined and improved in 6G to provide xURLCC (extreme URLCC) with ...	[]	Train
22,783	10	Title: Multi-source Education Knowledge Graph Construction and Fusion for College Curricula Abstract: The field of education has undergone a significant transformation due to the rapid advancements in Artificial Intelligence (AI). Among the various AI technologies, Knowledge Graphs (KGs) using Natural Language Processi...	[]	Train
22,784	4	Title: Tailstorm: A Secure and Fair Blockchain for Cash Transactions Abstract: Proof-of-work (PoW) cryptocurrencies rely on a balance of security and fairness in order to maintain a sustainable ecosystem of miners and users. Users demand fast and consistent transaction confirmation, and in exchange drive the adoption a...	[]	Test
22,785	16	Title: Learn to Enhance the Negative Information in Convolutional Neural Network Abstract: This paper proposes a learnable nonlinear activation mechanism specifically for convolutional neural network (CNN) termed as LENI, which learns to enhance the negative information in CNNs. In sharp contrast to ReLU which cuts off...	[]	Train
22,786	24	Title: Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation Abstract: Binary concepts are empirically used by humans to generalize efficiently. And they are based on Bernoulli distribution which is the building block of information. These concepts span both low-level and h...	[ 992 ]	Validation
22,787	28	Title: Sum-Rate Maximization of RSMA-based Aerial Communications with Energy Harvesting: A Reinforcement Learning Approach Abstract: In this letter, we investigate a joint power and beamforming design problem for rate-splitting multiple access (RSMA)-based aerial communications with energy harvesting, where a self-sust...	[]	Train
22,788	16	Title: ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering Abstract: Vision in adverse weather conditions, whether it be snow, rain, or fog is challenging. In these scenarios, scattering and attenuation severly degrades image quality. Handling such inclement weather conditions, however, is es...	[]	Validation
22,789	30	Title: RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer Abstract: Non-autoregressive neural machine translation (NAT) models are proposed to accelerate the inference process while maintaining relatively high performance. However, existing NAT models are difficult to achieve the desired effici...	[]	Validation
22,790	16	Title: Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment Abstract: Text-to-image synthesis has made encouraging progress and attracted lots of public attention recently. However, popular evaluation metrics in this area, like the Inception Score and Fr'echet Inception D...	[]	Test
22,791	16	Title: Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views Abstract: Automatic perception of human behaviors during social interactions is crucial for AR/VR applications, and an essential component is estimation of plausible 3D human pose and shape of our social partners from the egocentric view. One o...	[ 27782, 43465, 34579, 24814 ]	Test
22,792	16	Title: Detecting the open-world objects with the help of the Brain Abstract: Open World Object Detection (OWOD) is a novel computer vision task with a considerable challenge, bridging the gap between classic object detection (OD) benchmarks and real-world object detection. In addition to detecting and classifying seen/...	[]	Test
22,793	23	Title: Identifying Flakiness in Quantum Programs Abstract: In recent years, software engineers have explored ways to assist quantum software programmers. Our goal in this paper is to continue this exploration and see if quantum software programmers deal with some problems plaguing classical programs. Specifically, we e...	[]	Train
22,794	24	Title: POPGym: Benchmarking Partially Observable Reinforcement Learning Abstract: Real world applications of Reinforcement Learning (RL) are often partially observable, thus requiring memory. Despite this, partial observability is still largely ignored by contemporary RL benchmarks and libraries. We introduce Partially...	[ 8336, 8019, 11226, 31515, 12670 ]	Test
22,795	8	Title: Task-Oriented Metaverse Design in the 6G Era Abstract: As an emerging concept, the Metaverse has the potential to revolutionize the social interaction in the post-pandemic era by establishing a digital world for online education, remote healthcare, immersive business, intelligent transportation, and advanced man...	[]	Test
22,796	30	Title: Rationalizing predictions by adversarial information calibration Abstract: nan	[]	Test
22,797	24	Title: RITA: Group Attention is All You Need for Timeseries Analytics Abstract: Timeseries analytics is of great importance in many real-world applications. Recently, the Transformer model, popular in natural language processing, has been leveraged to learn high quality feature embeddings from timeseries, core to the p...	[]	Validation
22,798	30	Title: CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos Abstract: Visual information is central to conversation: body gestures and physical behaviour, for example, contribute to meaning that transcends words alone. To date, however, most neural conversational models are limited to just text. We i...	[]	Test
22,799	30	Title: Connecting Humanities and Social Sciences: Applying Language and Speech Technology to Online Panel Surveys Abstract: In this paper, we explore the application of language and speech technology to open-ended questions in a Dutch panel survey. In an experimental wave respondents could choose to answer open questio...	[]	Train
22,800	16	Title: Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching Abstract: Due to the domain differences and unbalanced disparity distribution across multiple datasets, current stereo matching approaches are commonly limited to a specific dataset and generalize poorly to others. Such domain shift issue is ...	[]	Validation
22,801	30	Title: EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models Abstract: Large Language Models (LLMs) usually suffer from knowledge cutoff or fallacy issues, which means they are unaware of unseen events or generate text with incorrect facts owing to the outdated/noisy data. To this end, many kno...	[ 40192, 39873, 4553, 27754, 7628, 10861, 13516, 13549, 31215, 33933, 29396, 1333, 469, 33365, 38102, 43641 ]	Train
22,802	24	Title: Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization Abstract: Recent success in Deep Reinforcement Learning (DRL) methods has shown that policy optimization with respect to an off-policy distribution via importance sampling is effective for sample reuse. In this paper,...	[]	Train
22,803	24	Title: Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Abstract: Many real-world optimization problems contain unknown parameters that must be predicted prior to solving. To train the predictive machine learning (ML) models involved, the commonly adopted approach focuses on ma...	[]	Test
22,804	16	Title: HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces Abstract: In this paper, we present our method for neural face reenactment, called HyperReenact, that aims to generate realistic talking head images of a source identity, driven by a target facial pose. Existing state-of-the-art...	[ 11826 ]	Train
22,805	27	Title: NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects Abstract: We present NeuSE, a novel Neural SE(3)-Equivariant Embedding for objects, and illustrate how it supports object SLAM for consistent spatial understanding with long-term scene changes. NeuSE is a set of latent ob...	[ 35541, 28142 ]	Train
22,806	30	Title: disco: a toolkit for Distributional Control of Generative Models Abstract: Pre-trained language models and other generative models have revolutionized NLP and beyond. However, these models tend to reproduce undesirable biases present in their training data. Also, they may overlook patterns that are important but...	[ 7085 ]	Validation
22,807	16	Title: CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing Abstract: Researchers have recently begun exploring the use of StyleGAN-based models for real image editing. One particularly interesting application is using natural language descriptions to guide the editing process. Existing approaches for edit...	[]	Train
22,808	16	Title: SAM-helps-Shadow: When Segment Anything Model meet shadow removal Abstract: The challenges surrounding the application of image shadow removal to real-world images and not just constrained datasets like ISTD/SRD have highlighted an urgent need for zero-shot learning in this field. In this study, we innovatively ...	[ 12704, 19907, 38612, 30518 ]	Train
22,809	16	Title: SpectralDiff: A Generative Framework for Hyperspectral Image Classification With Diffusion Models Abstract: Hyperspectral image (HSI) classification is an important issue in remote sensing field with extensive applications in Earth science. In recent years, a large number of deep learning-based HSI classificatio...	[ 32314, 28932 ]	Train
22,810	16	Title: Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment Abstract: Video Quality Assessment (VQA), which aims to predict the perceptual quality of a video, has attracted raising attention with the rapid development of streaming media technology, such as Facebook, TikT...	[ 36489 ]	Train
22,811	16	Title: Fairness-aware Vision Transformer via Debiased Self-Attention Abstract: Vision Transformer (ViT) has recently gained significant interest in solving computer vision (CV) problems due to its capability of extracting informative features and modeling long-range dependencies through the self-attention mechanism. To...	[ 41251 ]	Train
22,812	13	Title: Dive into the Power of Neuronal Heterogeneity Abstract: The biological neural network is a vast and diverse structure with high neural heterogeneity. Conventional Artificial Neural Networks (ANNs) primarily focus on modifying the weights of connections through training while modeling neurons as highly homogenize...	[ 44045, 41687 ]	Train
22,813	16	Title: Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification Abstract: nan	[]	Train
22,814	16	Title: What Makes Good Open-Vocabulary Detector: A Disassembling Perspective Abstract: Open-vocabulary detection (OVD) is a new object detection paradigm, aiming to localize and recognize unseen objects defined by an unbounded vocabulary. This is challenging since traditional detectors can only learn from pre-defined c...	[ 23152, 27421, 18391 ]	Train
22,815	16	Title: RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions Abstract: The recent advances in camera-based bird's eye view (BEV) representation exhibit great potential for in-vehicle 3D perception. Despite the substantial progress achieved on standard benchmarks, the robustness of BEV algorithms has not ...	[ 10240, 23713, 9126, 42472, 43114 ]	Test
22,816	10	Title: Mastering Diverse Domains through World Models Abstract: General intelligence requires solving tasks across many domains. Current reinforcement learning algorithms carry this potential but are held back by the resources and knowledge required to tune them for new tasks. We present DreamerV3, a general and scalab...	[ 6528, 38404, 24196, 15624, 23307, 6668, 21391, 2578, 11544, 29721, 13082, 18459, 22556, 11038, 25249, 5282, 13607, 8232, 32299, 35628, 941, 5421, 27437, 38957, 10292, 32820, 28468, 12089, 41534, 14402, 35267, 25929, 3787, 5195, 14412, 4562, 855...	Train
22,817	30	Title: BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering Abstract: Unsupervised commonsense reasoning (UCR) is becoming increasingly popular as the construction of commonsense reasoning datasets is expensive, and they are inevitably limited in their scope. A popular approach to UCR i...	[]	Train
22,818	16	Title: FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation Abstract: Medical image segmentation of gadolinium enhancement magnetic resonance imaging (GE MRI) is an important task in clinical applications. However, manual annotation is time-consuming and requires special...	[]	Train
22,819	16	Title: CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction Abstract: In this paper, we explore the potential of Vision-Language Models (VLMs), specifically CLIP, in predicting visual object relationships, which involves interpreting visual features from images into language-based relations. Cur...	[ 30784, 44534 ]	Train
22,820	30	Title: AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions Abstract: The development of large high-quality datasets and high-performing models have led to significant advancements in the domain of Extractive Question Answering (EQA). This progress has sparked considerable interest in exploring una...	[ 6375 ]	Train
22,821	24	Title: Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning Abstract: In recent years, the development of Artificial Intelligence (AI) has shown tremendous potential in diverse areas. Among them, reinforcement learning (RL) has proven to be an effective solution for learnin...	[]	Train
22,822	16	Title: Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image Abstract: We study the problem of synthesizing a long-term dynamic video from only a single image. This is challenging since it requires consistent visual content movements given large camera motions. Existing methods either ...	[ 7993, 37621, 9013, 17526 ]	Test
22,823	7	Title: Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models Abstract: The accelerated inverse design of complex material properties - such as identifying a material with a given stress-strain response over a nonlinear deformation path - holds great potential for addressing challenge...	[ 45817 ]	Train
22,824	30	Title: Exploring the effectiveness of ChatGPT-based feedback compared with teacher feedback and self-feedback: Evidence from Chinese to English translation Abstract: ChatGPT,a cutting-edge AI-powered Chatbot,can quickly generate responses on given commands. While it was reported that ChatGPT had the capacity to deliver...	[ 40192, 20228, 44173, 4271, 593, 12913, 19315, 8115, 25143 ]	Train
22,825	30	Title: WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset Abstract: We create WebQAmGaze, a multilingual low-cost eye-tracking-while-reading dataset, designed to support the development of fair and transparent NLP models. WebQAmGaze includes webcam eye-tracking data from 332 participants naturally rea...	[]	Train
22,826	24	Title: Hyperbolic Random Forests Abstract: Hyperbolic space is becoming a popular choice for representing data due to the hierarchical structure - whether implicit or explicit - of many real-world datasets. Along with it comes a need for algorithms capable of solving fundamental tasks, such as classification, in hyperb...	[ 38401, 21883 ]	Test
22,827	25	Title: HCLAS-X: Hierarchical and Cascaded Lyrics Alignment System Using Multimodal Cross-Correlation Abstract: In this work, we address the challenge of lyrics alignment, which involves aligning the lyrics and vocal components of songs. This problem requires the alignment of two distinct modalities, namely text and aud...	[]	Train
22,828	4	Title: SHIELD: Thwarting Code Authorship Attribution Abstract: Authorship attribution has become increasingly accurate, posing a serious privacy risk for programmers who wish to remain anonymous. In this paper, we introduce SHIELD to examine the robustness of different code authorship attribution approaches against adv...	[]	Train
22,829	28	Title: A Novel SCL Bit-Flipping Decoding Of Polarization-Adjusted Convolutional (PAC) Codes Abstract: Polar codes have attracted the attention of numerous researchers in the past decade due to their excellent performance. However, their performance at short block lengths under standard successive cancellation decoding ...	[]	Train
22,830	27	Title: The Social Triad model of Human-Robot Interaction Abstract: Despite the increasing interest in trust in human-robot interaction (HRI), there is still relatively little exploration of trust as a social construct in HRI. We propose that integration of useful models of human-human trust from psychology, highlight a...	[]	Validation
22,831	30	Title: AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis Abstract: Multimodal aspect-based sentiment analysis (MABSA) aims to extract aspects from text-image pairs and recognize their sentiments. Existing methods make great efforts to align the whole image to corresponding aspect...	[]	Train
22,832	30	Title: Fairness in Language Models Beyond English: Gaps and Challenges Abstract: With language models becoming increasingly ubiquitous, it has become essential to address their inequitable treatment of diverse demographic groups and factors. Most research on evaluating and mitigating fairness harms has been concentrate...	[ 20802, 19083, 10870, 13495 ]	Train
22,833	30	Title: Semantic Consistency for Assuring Reliability of Large Language Models Abstract: Large Language Models (LLMs) exhibit remarkable fluency and competence across various natural language tasks. However, recent research has highlighted their sensitivity to variations in input prompts. To deploy LLMs in a safe and re...	[ 43641, 36820, 35081, 44623 ]	Validation
22,834	16	Title: Synthetic Data for Face Recognition: Current State and Future Prospects Abstract: Over the past years, deep learning capabilities and the availability of large-scale training datasets advanced rapidly, leading to breakthroughs in face recognition accuracy. However, these technologies are foreseen to face a major...	[ 29128, 6953, 4975, 29712, 23153, 42579, 43091, 34068, 3511, 10744 ]	Train
22,835	30	Title: Zero-Shot Text Classification via Self-Supervised Tuning Abstract: Existing solutions to zero-shot text classification either conduct prompting with pre-trained language models, which is sensitive to the choices of templates, or rely on large-scale annotated data of relevant tasks for meta-tuning. In this work, ...	[ 41066 ]	Test
22,836	30	Title: LASIGE and UNICAGE solution to the NASA LitCoin NLP Competition Abstract: Biomedical Natural Language Processing (NLP) tends to become cumbersome for most researchers, frequently due to the amount and heterogeneity of text to be processed. To address this challenge, the industry is continuously developing highly...	[]	Test
22,837	16	Title: Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence Abstract: This paper presents a new methodology to alleviate the fundamental trade-off between accuracy and latency in spiking neural networks (SNNs). The approach involves decoding confidence information over time from the SNN outputs and...	[ 39312, 34896, 45868, 3085 ]	Validation
22,838	30	Title: DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining Abstract: Many text mining models are constructed by fine-tuning a large deep pre-trained language model (PLM) in downstream tasks. However, a significant challenge is maintaining performance when we use a lightweight model with limited ...	[]	Train
22,839	24	Title: When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA Abstract: Bayesian Neural Networks (BayesNNs) have demonstrated their capability of providing calibrated prediction for safety-critical applications such as medical imaging and autonomous driving. However, the high algorithmic...	[]	Train
22,840	16	Title: CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception Abstract: Perception is crucial in the realm of autonomous driving systems, where bird's eye view (BEV)-based architectures have recently reached state-of-the-art performance. The desirability of self-supervised representation learn...	[ 16078, 15327 ]	Train
22,841	3	Title: A technological framework for scalable ground-up formation of Circular Societies Abstract: The Circular Economy (CE) is regarded as a solution to the environmental crisis. However, mainstream CE measures skirt around challenging the ethos of ever-increasing economic growth, overlooking social impacts and under-r...	[]	Train
22,842	30	Title: Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs Abstract: A major concern in using deep learning based generative models for document-grounded dialogs is the potential generation of responses that are not \textit{faithful} to the underlying doc...	[ 19778 ]	Validation
22,843	38	Title: Deep Author Name Disambiguation using DBLP Data Abstract: In the academic world, the number of scientists grows every year and so does the number of authors sharing the same names. Consequently, it is challenging to assign newly published papers to their respective authors. Therefore, author name ambiguity is co...	[]	Train
22,844	16	Title: LNL+K: Learning with Noisy Labels and Noise Source Distribution Knowledge Abstract: Learning with noisy labels (LNL) is challenging as the model tends to memorize noisy labels, which can lead to overfitting. Many LNL methods detect clean samples by maximizing the similarity between samples in each category, whic...	[]	Test
22,845	27	Title: MultiSCOPE: Disambiguating In-Hand Object Poses with Proprioception and Tactile Feedback Abstract: In this paper, we propose a method for estimating in-hand object poses using proprioception and tactile feedback from a bimanual robotic system. Our method addresses the problem of reducing pose uncertainty through...	[]	Train
22,846	24	Title: Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13 Abstract: Integrating renewable energy sources into the power grid is becoming increasingly important as the world moves towards a more sustainable energy future in ...	[]	Train
22,847	24	Title: Ecosystem Graphs: The Social Footprint of Foundation Models Abstract: Foundation models (e.g. ChatGPT, StableDiffusion) pervasively influence society, warranting immediate social attention. While the models themselves garner much attention, to accurately characterize their impact, we must consider the broader so...	[ 4642, 33220, 9252, 15881, 39947, 32127 ]	Train
22,848	31	Title: NS4AR: A new, focused on sampling areas sampling method in graphical recommendation Systems Abstract: The effectiveness of graphical recommender system depends on the quantity and quality of negative sampling. This paper selects some typical recommender system models, as well as some latest negative sampling str...	[]	Validation
22,849	26	Title: Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering Abstract: Community detection is a critical challenge in analysing real graphs, including social, transportation, citation, cybersecurity, and many other networks. This article proposes three n...	[]	Train
22,850	20	Title: Some results on Minimum Consistent Subsets of Trees Abstract: For a graph G = (V,E) where each vertex is coloured by one of k colours, consider a subset C of V such that for each vertex v in V\C, its set of nearest neighbours in C contains at least one vertex of the same colour as v. Such a C is called a consist...	[ 43324 ]	Train
22,851	16	Title: TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification Abstract: Vision and Language Models (VLMs), such as CLIP, have enabled visual recognition of a potentially unlimited set of categories described by text prompts. However, for the best visual recognition ...	[ 10174, 15463 ]	Test
22,852	3	Title: Connected and Automated Vehicles Investment and Smart Infrastructure in Tennessee Part 3: Infrastructure and Vehicular communications: From Dedicated Short-Range Communications to Cellular Vehicle-to-Everything Abstract: This report aims to support the Tennessee Department of Transportation's decisions about veh...	[]	Train
22,853	30	Title: NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset Abstract: In this paper, we propose a methodology fortask 10 of SemEval23, focusing on detectingand classifying online sexism in social me-dia posts...	[ 16936 ]	Test
22,854	16	Title: Improved Visual Fine-tuning with Natural Language Supervision Abstract: Fine-tuning a visual pre-trained model can leverage the semantic information from large-scale pre-training data and mitigate the over-fitting problem on downstream vision tasks with limited training examples. While the problem of catastrophi...	[ 9016 ]	Train
22,855	16	Title: Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks Abstract: Adversarial attacks on a convolutional neural network (CNN)—injecting human-imperceptible perturbations into an input image—could fool a high-performance CNN into making incorrect predictions. The success o...	[]	Test
22,856	30	Title: Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling Abstract: Modeling discourse -- the linguistic phenomena that go beyond individual sentences, is a fundamental yet challenging aspect of natural language processing (NLP). However, existing evaluation benchmarks primarily focus on the eva...	[ 12945 ]	Train
22,857	34	Title: Optimal Heaviest Induced Ancestors Abstract: We revisit the Heaviest Induced Ancestors (HIA) problem that was introduced by Gagie, Gawrychowski, and Nekrich [CCCG 2013] and has a number of applications in string algorithms. Let $T_1$ and $T_2$ be two rooted trees whose nodes have weights that are increasing in a...	[]	Train
22,858	16	Title: ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation Abstract: Forecasting future trajectories of agents in complex traffic scenes requires reliable and efficient predictions for all agents in the scene. However, existing methods for trajectory prediction are either inefficient or sacrifice accurac...	[ 29851 ]	Train
22,859	4	Title: FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking Abstract: Federated learning is an emerging privacy-preserving distributed machine learning that enables multiple parties to collaboratively learn a shared model while keeping each party's data private. However, federated learning fa...	[ 12468 ]	Train
22,860	16	Title: Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation Abstract: One critical challenge in 6D object pose estimation from a single RGBD image is efficient integration of two different modalities, i.e., color and depth. In this work, we tackle this problem ...	[]	Train
22,861	16	Title: Learning Better Keypoints for Multi-Object 6DoF Pose Estimation Abstract: We investigate the impact of pre-defined keypoints for pose estimation, and found that accuracy and efficiency can be improved by training a graph network to select a set of disperse keypoints with similarly distributed votes. These votes,...	[ 22369, 36257, 4526, 25300, 6967 ]	Train
22,862	7	Title: Mechanical modeling of the maturation process for tissue-engineered implants: application to biohybrid heart valves Abstract: The development of tissue-engineered cardiovascular implants can improve the lives of large segments of our society who suffer from cardiovascular diseases. Regenerative tissues are fabri...	[]	Train
22,863	24	Title: Indeterminate Probability Neural Network Abstract: We propose a new general model called IPNN - Indeterminate Probability Neural Network, which combines neural network and probability theory together. In the classical probability theory, the calculation of probability is based on the occurrence of events, which ...	[]	Test
22,864	16	Title: Physical Invisible Backdoor Based on Camera Imaging Abstract: Backdoor attack aims to compromise a model, which returns an adversary-wanted output when a specific trigger pattern appears yet behaves normally for clean inputs. Current backdoor attacks require changing pixels of clean images, which results in poor...	[]	Validation
22,865	16	Title: Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification Abstract: Extracting image semantics effectively and assigning corresponding labels to multiple objects or attributes for natural images is challenging due to the complex scene contents and confusing label dependencies. Recent works ha...	[]	Train
22,866	25	Title: Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks Abstract: The Transformer architecture has proven to be highly effective for Automatic Speech Recognition (ASR) tasks, becoming a foundational component for a plethora of research in the domain. Historically, many approach...	[ 11929 ]	Train
22,867	24	Title: Shapley Value on Probabilistic Classifiers Abstract: Data valuation has become an increasingly significant discipline in data science due to the economic value of data. In the context of machine learning (ML), data valuation methods aim to equitably measure the contribution of each data point to the utility of a...	[]	Validation
22,868	16	Title: Towards Interactive Image Inpainting via Sketch Refinement Abstract: One tough problem of image inpainting is to restore complex structures in the corrupted regions. It motivates interactive image inpainting which leverages additional hints, e.g., sketches, to assist the inpainting process. Sketch is simple and ...	[]	Train
22,869	24	Title: DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training Abstract: We propose discriminative reward co-training (DIRECT) as an extension to deep reinforcement learning algorithms. Building upon the concept of self-imitation learning (SIL), we introduce an imitation buffer to stor...	[]	Test
22,870	27	Title: Comparison of Optimization-Based Methods for Energy-Optimal Quadrotor Motion Planning Abstract: Quadrotors are agile flying robots that are challenging to control. Considering the full dynamics of quadrotors during motion planning is crucial to achieving good solution quality and small tracking errors during fli...	[]	Validation
22,871	24	Title: Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions Abstract: MCMC algorithms offer empirically efficient tools for sampling from a target distribution $\pi(x) \propto \exp(-V(x))$. However, on the theory side, MCMC algorithms suffer from slow mixing rate when $\pi(x)$ is non-log-concave...	[]	Test
22,872	16	Title: SimpleMapping: Real-Time Visual-Inertial Dense Mapping with Deep Multi-View Stereo Abstract: We present a real-time visual-inertial dense mapping method capable of performing incremental 3D mesh reconstruction with high quality using only sequential monocular images and inertial measurement unit (IMU) readings. ...	[]	Train
22,873	24	Title: Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks Abstract: Neural Networks are infamously sensitive to small perturbations in their inputs, making them vulnerable to adversarial attacks. This project evaluates the performance of Denoising Diffusion Probabilistic Models (DDPM) as ...	[ 22206 ]	Train
22,874	27	Title: NF-Atlas: Multi-Volume Neural Feature Fields for Large Scale LiDAR Mapping Abstract: LiDAR Mapping has been a long-standing problem in robotics. Recent progress in neural implicit representation has brought new opportunities to robotic mapping. In this letter, we propose the multi-volume neural feature fields, c...	[]	Test
22,875	24	Title: Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models Abstract: We propose InCA, a lightweight method for transfer learning that cross-attends to any activation layer of a pre-trained model. During training, InCA uses a single forward pass to extract multiple activations, which are...	[ 21882, 11100 ]	Train
22,876	24	Title: UAMM: UBET Automated Market Maker Abstract: Automated market makers (AMMs) are pricing mechanisms utilized by decentralized exchanges (DEX). Traditional AMM approaches are constrained by pricing solely based on their own liquidity pool, without consideration of external markets or risk management for liquidity p...	[]	Train
22,877	24	Title: The State-of-the-Art in Air Pollution Monitoring and Forecasting Systems Using IoT, Big Data, and Machine Learning Abstract: nan	[]	Validation

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