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
42,378	4	Title: Spoofing Against Spoofing: Towards Caller ID Verification In Heterogeneous Telecommunication Systems Abstract: Caller ID spoofing is a global industry problem and often acts as a critical enabler for telephone fraud. To address this problem, the Federal Communications Commission (FCC) has mandated telecom provid...	[]	Validation
42,379	24	Title: Insights From Insurance for Fair Machine Learning: Responsibility, Performativity and Aggregates Abstract: We argue that insurance can act as an analogon for the social situatedness of machine learning systems, hence allowing machine learning scholars to take insights from the rich and interdisciplinary insuranc...	[ 29277, 12421 ]	Test
42,380	24	Title: In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection Abstract: This paper presents a systematic investigation into the effectiveness of Self-Supervised Learning (SSL) methods for Electrocardiogram (ECG) arrhythmia detection. We begin by conducting a novel d...	[]	Test
42,381	28	Title: Full-Stack End-To-End mmWave Simulations Using 3GPP and NYUSIM Channel Model in ns-3 Abstract: Accurate channel modeling and simulation tools are vital for studying sub-THz and millimeter (mmWave) wideband communication system performance. To accurately design future high data rate, low latency wireless modems, ...	[]	Train
42,382	24	Title: Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks Abstract: Convolutional residual neural networks (ConvResNets), though overparameterized, can achieve remarkable prediction performance in practice, which cannot be well explained by conventional wis...	[]	Train
42,383	6	Title: Data Embroidery with Black-and-White Textures Abstract: We investigated data embroidery with black-and-white textures, identifying challenges in the use of textures for machine embroidery based on our own experience. Data embroidery, as a method of physically representing data, offers a unique way to integrate p...	[ 29592, 17761, 2117 ]	Validation
42,384	24	Title: SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation Abstract: Effectively medication recommendation with complex multimorbidity conditions is a critical task in healthcare. Most existing works predicted medications based on longitudinal records, which assumed the information tr...	[]	Train
42,385	7	Title: Unifying the design space of truss metamaterials by generative modeling Abstract: The rise of machine learning has fueled the discovery of new materials and, especially, metamaterials -- truss lattices being their most prominent class. While their tailorable properties have been explored extensively, the design ...	[]	Train
42,386	30	Title: Reevaluating Data Partitioning for Emotion Detection in EmoWOZ Abstract: This paper focuses on the EmoWoz dataset, an extension of MultiWOZ that provides emotion labels for the dialogues. MultiWOZ was partitioned initially for another purpose, resulting in a distributional shift when considering the new purpose ...	[]	Train
42,387	36	Title: Balancing Cooperativeness and Adaptiveness in the (Noisy) Iterated Prisoner's Dilemma Abstract: Ever since Axelrod's seminal work, tournaments served as the main benchmark for evaluating strategies in the Iterated Prisoner's Dilemma (IPD). In this work, we first introduce a strategy for the IPD which outperforms...	[]	Validation
42,388	24	Title: MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks Abstract: The field of machine learning (ML) has gained widespread adoption, leading to a significant demand for adapting ML to specific scenarios, which is yet expensive and non-trivial. The predominant approaches towards...	[ 40192, 1441, 13700, 3804 ]	Train
42,389	36	Title: Computation of Nash Equilibria of Attack and Defense Games on Networks Abstract: nan	[]	Test
42,390	30	Title: Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias Abstract: Pre-trained Language Models (PLMs) may be poisonous with backdoors or bias injected by the suspicious attacker during the fine-tuning process. A core challenge of purify...	[ 8308, 34076 ]	Train
42,391	4	Title: DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection Abstract: —Our increasingly connected world continues to face an ever-growing amount of network-based attacks. Intrusion detection systems (IDS) are an essential security technology for detecting these attacks. Although numerous mac...	[]	Validation
42,392	16	Title: Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Abstract: Cross-domain few-shot classification induces a much more challenging problem than its in-domain counterpart due to the existence of domain shifts between the training and test tasks. In this paper, we develop a novel Adapti...	[]	Train
42,393	30	Title: GPT-RE: In-context Learning for Relation Extraction using Large Language Models Abstract: In spite of the potential for ground-breaking achievements offered by large language models (LLMs) (e.g., GPT-3), they still lag significantly behind fully-supervised baselines (e.g., fine-tuned BERT) in relation extraction...	[ 35556, 44068, 1639, 21610, 43403, 26552, 18683, 23836, 43327 ]	Test
42,394	16	Title: Gemtelligence: Accelerating Gemstone classification with Deep Learning Abstract: The value of luxury goods, particularly investment-grade gemstones, is greatly influenced by their origin and authenticity, sometimes resulting in differences worth millions of dollars. Traditionally, human experts have determined t...	[]	Validation
42,395	16	Title: MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression Abstract: Bounding box regression (BBR) has been widely used in object detection and instance segmentation, which is an important step in object localization. However, most of the existing loss functions for bounding box regression cannot be optim...	[]	Validation
42,396	16	Title: Heuristic Hyperparameter Choice for Image Anomaly Detection Abstract: Anomaly detection (AD) in images is a fundamental computer vision problem by deep learning neural network to identify images deviating significantly from normality. The deep features extracted from pretrained models have been proved to be esse...	[]	Train
42,397	16	Title: Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation Abstract: Animating virtual avatars to make co-speech gestures facilitates various applications in human-machine interaction. The existing methods mainly rely on generative adversarial networks (GANs), which typically suffer from notorious mod...	[ 8424, 25609, 39340, 8718, 19888, 36214 ]	Train
42,398	16	Title: Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology Abstract: Deep neural network models can learn clinically relevant features from millions of histopathology images. However generating high-quality annotations to train such models for each hospital, each cancer type, an...	[]	Train
42,399	16	Title: BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency Abstract: As one of the most fundamental techniques in multi-modal learning, cross-modal matching aims to project various sensory modalities into a shared feature space. To achieve this, massiv...	[]	Train
42,400	1	Title: Towards Balanced Active Learning for Multimodal Classification Abstract: Training multimodal networks requires a vast amount of data due to their larger parameter space compared to unimodal networks. Active learning is a widely used technique for reducing data annotation costs by selecting only those samples tha...	[]	Train
42,401	27	Title: Planning for Manipulation among Movable Objects: Deciding Which Objects Go Where, in What Order, and How Abstract: We are interested in pick-and-place style robot manipulation tasks in cluttered and confined 3D workspaces among movable objects that may be rearranged by the robot and may slide, tilt, lean or topp...	[ 15299 ]	Validation
42,402	24	Title: In-Process Global Interpretation for Graph Learning via Distribution Matching Abstract: Graphs neural networks (GNNs) have emerged as a powerful graph learning model due to their superior capacity in capturing critical graph patterns. To gain insights about the model mechanism for interpretable graph learning, p...	[]	Test
42,403	24	Title: Online Arbitrary Shaped Clustering through Correlated Gaussian Functions Abstract: There is no convincing evidence that backpropagation is a biologically plausible mechanism, and further studies of alternative learning methods are needed. A novel online clustering algorithm is presented that can produce arbitrar...	[]	Validation
42,404	16	Title: Towards accurate instance segmentation in large-scale LiDAR point clouds Abstract: Panoptic segmentation is the combination of semantic and instance segmentation: assign the points in a 3D point cloud to semantic categories and partition them into distinct object instances. It has many obvious applications for o...	[ 18420 ]	Validation
42,405	6	Title: Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents Abstract: The recent advent of large language models (LLM) has resulted in high-performing conversational agents such as chatGPT. These agents must remember key information from an ongoing conversation to provide responses th...	[ 39873, 33477, 16556, 19155, 21880 ]	Test
42,406	30	Title: Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement Abstract: Prompting methods such as Chain-of-Thought (CoT) have shed new light on enhancing the reasoning capabilities of large language models, and researchers have extensively explored the generation process of rationales and answer...	[ 21880, 38338, 19727 ]	Test
42,407	11	Title: Social Value Orientation and Integral Emotions in Multi-Agent Systems Abstract: Human social behavior is influenced by individual differences in social preferences. Social value orientation (SVO) is a measurable personality trait which indicates the relative importance an individual places on their own and on ot...	[]	Train
42,408	25	Title: SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify Abstract: In this study, we approached the Hit Song Prediction problem, which aims to predict which songs will become Billboard hits. We gathered a dataset of nearly 18500 hit and non-hit songs and extracted their audio features using the Spotify ...	[]	Train
42,409	30	Title: ControlRetriever: Harnessing the Power of Instructions for Controllable Retrieval Abstract: Recent studies have shown that dense retrieval models, lacking dedicated training data, struggle to perform well across diverse retrieval tasks, as different retrieval tasks often entail distinct search intents. To addres...	[ 40192, 34074 ]	Train
42,410	10	Title: The problem with AI consciousness: A neurogenetic case against synthetic sentience Abstract: Ever since the creation of the first artificial intelligence (AI) machinery built on machine learning (ML), public society has entertained the idea that eventually computers could become sentient and develop a consciousn...	[]	Train
42,411	10	Title: Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour Abstract: Autonomous robots are required to reason about the behaviour of dynamic agents in their environment. The creation of models to describe these relationships is typically accomplished through the applicatio...	[ 14251, 42483, 39695 ]	Train
42,412	24	Title: Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward Abstract: We investigate an infinite-horizon average reward Markov Decision Process (MDP) with delayed, composite, and partially anonymous reward feedback. The delay and compositeness of rewards mean that rewards generated as a result...	[ 42926 ]	Train
42,413	31	Title: Best-Case Retrieval Evaluation: Improving the Sensitivity of Reciprocal Rank with Lexicographic Precision Abstract: Across a variety of ranking tasks, researchers use reciprocal rank to measure the effectiveness for users interested in exactly one relevant item. Despite its widespread use, evidence suggests that...	[ 21311 ]	Train
42,414	26	Title: Using Twitter Data to Determine Hurricane Category: An Experiment Abstract: Social media posts contain an abundant amount of information about public opinion on major events, especially natural disasters such as hurricanes. Posts related to an event, are usually published by the users who live near the place of ...	[ 4445 ]	Train
42,415	27	Title: Neural Optimal Control using Learned System Dynamics Abstract: We study the problem of generating control laws for systems with unknown dynamics. Our approach is to represent the controller and the value function with neural networks, and to train them using loss functions adapted from the Hamilton-Jacobi-Bellma...	[]	Train
42,416	24	Title: Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration Abstract: Since the control of the Lipschitz constant has a great impact on the training stability, generalization, and robustness of neural networks, the estimation of this value is nowadays a real scientific challenge. In this pap...	[ 38714 ]	Train
42,417	30	Title: Certified Robustness for Large Language Models with Self-Denoising Abstract: Although large language models (LLMs) have achieved great success in vast real-world applications, their vulnerabilities towards noisy inputs have significantly limited their uses, especially in high-stake environments. In these context...	[ 44481, 4610, 13700, 27815, 45455, 24308 ]	Validation
42,418	3	Title: Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment Abstract: This paper examines the ethical considerations and implications of large language models (LLMs) in generating content. It highlights the potential for both positive and negative uses...	[ 13224, 1899, 13278 ]	Train
42,419	30	Title: B\"{u}y\"{u}k dil modellerinin T\"{u}rk\c{c}e verisetleri ile e\u{g}itilmesi ve ince ayarlanmas\i Abstract: Large language models have advanced enormously, gained vast attraction and are having a phase of intensed research. Some of the developed models and training datasets have been made open-accessible. Hence ...	[ 13700 ]	Test
42,420	24	Title: MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs Abstract: New architecture GPUs like A100 are now equipped with multi-instance GPU (MIG) technology, which allows the GPU to be partitioned into multiple small, isolated instances. This technology provide...	[]	Train
42,421	2	Title: Semitopology: a new topological model of heterogeneous consensus Abstract: A distributed system is permissionless when participants can join and leave the network without permission from a central authority. Many modern distributed systems are naturally permissionless, in the sense that a central permissioning a...	[ 24278 ]	Train
42,422	25	Title: MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies Abstract: Diffusion models have shown promising results in cross-modal generation tasks, including text-to-image and text-to-audio generation. However, generating music, as a special type of audio, presents unique cha...	[ 4481, 13186, 15628, 45104, 18777 ]	Train
42,423	30	Title: Describe me an Aucklet: Generating Grounded Perceptual Category Descriptions Abstract: Human language users can generate descriptions of perceptual concepts beyond instance-level representations and also use such descriptions to learn provisional class-level representations. However, the ability of computational...	[]	Test
42,424	30	Title: Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts Abstract: Automatic medical text simplification can assist providers with patient-friendly communication and make medical texts more accessible, thereby improving health literacy. But curating a quality corpus for this...	[ 41442, 35629 ]	Train
42,425	16	Title: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing Abstract: Self-supervised learning in vision-language processing (VLP) exploits semantic alignment between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the alignment of single image and report pairs...	[ 39788, 5205, 36918, 9945, 40669 ]	Validation
42,426	16	Title: Towards Hierarchical Regional Transformer-based Multiple Instance Learning Abstract: The classification of gigapixel histopathology images with deep multiple instance learning models has become a critical task in digital pathology and precision medicine. In this work, we propose a Transformer-based multiple inst...	[]	Test
42,427	6	Title: “There’s so much responsibility on users right now:” Expert Advice for Staying Safer From Hate and Harassment Abstract: Online hate and harassment poses a threat to the digital safety of people globally. In light of this risk, there is a need to equip as many people as possible with advice to stay safer online. ...	[ 30240, 30383 ]	Train
42,428	16	Title: Single-round Self-supervised Distributed Learning using Vision Transformer Abstract: Despite the recent success of deep learning in the field of medicine, the issue of data scarcity is exacerbated by concerns about privacy and data ownership. Distributed learning approaches, including federated learning, have be...	[]	Train
42,429	16	Title: Revisiting the Encoding of Satellite Image Time Series Abstract: Satellite Image Time Series (SITS) representation learning is complex due to high spatiotemporal resolutions, irregular acquisition times, and intricate spatiotemporal interactions. These challenges result in specialized neural network architecture...	[ 33984, 11682 ]	Train
42,430	16	Title: HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform Abstract: In recent years, there has been rapid development in learned image compression techniques that prioritize rate-distortion-perceptual compression, preserving fine details even at lower bit-rates. However, current learni...	[]	Test
42,431	16	Title: Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis Abstract: In recent years, many mammographic image analysis methods have been introduced for improving cancer classification tasks. Two major issues of mammogram classification tasks are leveraging multi-...	[ 46172 ]	Train
42,432	24	Title: On the Fairness Impacts of Private Ensembles Models Abstract: The Private Aggregation of Teacher Ensembles (PATE) is a machine learning framework that enables the creation of private models through the combination of multiple "teacher" models and a "student" model. The student model learns to predict an output b...	[]	Validation
42,433	10	Title: Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text Abstract: Logical reasoning task involves diverse types of complex reasoning over text, based on the form of multiple-choice question answering. Given the context, question and a set of options as the input, p...	[ 31147 ]	Train
42,434	28	Title: On the classification of completely regular codes with covering radius two and antipodal dual Abstract: We classify all linear completely regular codes which have covering radius $\rho = 2$ and whose dual are antipodal. For this, we firstly show several properties of such dual codes, which are two-weight codes.	[]	Validation
42,435	16	Title: Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection Abstract: Facial forgery detection is a crucial but extremely challenging topic, with the fast development of forgery techniques making the synthetic artefact highly indistinguishable. Prior works show that by mining both spatial and freque...	[]	Train
42,436	4	Title: Turning Noises to Fingerprint-Free "Credentials": Secure and Usable Authentication for Drone Delivery Abstract: Drone delivery is an emerging service that gains growing attention. Authentication is critical to ensure a package is picked up by a legitimate drone (rather than a malicious one) and delivered to the ...	[]	Train
42,437	24	Title: Stochastic Approximation Approaches to Group Distributionally Robust Optimization Abstract: This paper investigates group distributionally robust optimization (GDRO), with the purpose to learn a model that performs well over $m$ different distributions. First, we formulate GDRO as a stochastic convex-concave sad...	[]	Train
42,438	27	Title: Accessible Interfaces for the Development and Deployment of Robotic Platforms Abstract: Accessibility is one of the most important features in the design of robots and their interfaces. This thesis proposes methods that improve the accessibility of robots for three different target audiences: consumers, research...	[]	Train
42,439	9	Title: Two Source Extractors for Asymptotically Optimal Entropy, and (Many) More Abstract: A long line of work in the past two decades or so established close connections between several different pseudorandom objects and applications. These connections essentially show that an asymptotically optimal construction of on...	[ 16986, 8710 ]	Test
42,440	8	Title: Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer Abstract: Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifically, in indust...	[]	Train
42,441	24	Title: Experimental observation on a low-rank tensor model for eigenvalue problems Abstract: Here we utilize a low-rank tensor model (LTM) as a function approximator, combined with the gradient descent method, to solve eigenvalue problems including the Laplacian operator and the harmonic oscillator. Experimental result...	[]	Test
42,442	24	Title: Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning Abstract: In this paper, we examine cloud-edge-terminal IoT networks, where edges undertake a range of typical dynamic scheduling tasks. In these IoT networks, a central policy fo...	[ 15354 ]	Train
42,443	16	Title: I3DOD: Towards Incremental 3D Object Detection via Prompting Abstract: 3D object detection has achieved significant performance in many fields, e.g., robotics system, autonomous driving, and augmented reality. However, most existing methods could cause catastrophic forgetting of old classes when performing on th...	[ 22080 ]	Train
42,444	16	Title: EXIF as Language: Learning Cross-Modal Associations between Images and Camera Metadata Abstract: We learn a visual representation that captures information about the camera that recorded a given photo. To do this, we train a multimodal embedding between image patches and the EXIF metadata that cameras automatica...	[ 13816 ]	Train
42,445	29	Title: Machine Learning based Autotuning of a GPU-accelerated Computational Fluid Dynamics Code Abstract: A machine learning-based autotuning technique is employed to optimize 14 key parameters associated with GPU kernel scheduling, including the number of thread blocks and threads within a block. This technique involv...	[ 31341 ]	Train
42,446	32	Title: A Distributed Algebra System for Time Integration on Parallel Computers Abstract: We present a distributed algebra system for efficient and compact implementation of numerical time integration schemes on parallel computers and graphics processing units (GPU). The software implementation combines the time integra...	[]	Train
42,447	6	Title: Gazealytics: A Unified and Flexible Visual Toolkit for Exploratory and Comparative Gaze Analysis Abstract: We present a novel, web-based visual eye-tracking analytics tool called Gazealytics. Our open-source toolkit features a unified combination of gaze analytics features that support flexible exploratory analy...	[ 14405 ]	Train
42,448	24	Title: Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators Abstract: Causal mediation analysis (CMA) is a powerful method to dissect the total effect of a treatment into direct and mediated effects within the potential outcome framework. This is important in many scientific applications t...	[ 36926, 14679 ]	Test
42,449	36	Title: Why Majority Judgement is not yet the solution for political elections, but can help finding it Abstract: Like many other voting systems, Majority Judgement suffers from the weaknesses of the underlying mathematical model: Elections as problem of choice or ranking. We show how the model can be enhanced to take i...	[]	Test
42,450	34	Title: Constant Approximation for Network Revenue Management with Markovian-Correlated Customer Arrivals Abstract: The Network Revenue Management (NRM) problem is a well-known challenge in dynamic decision-making under uncertainty. In this problem, fixed resources must be allocated to serve customers over a finite hori...	[]	Train
42,451	28	Title: Solving Systems of Algebraic Equations Over Finite Commutative Rings and Applications Abstract: Several problems in algebraic geometry and coding theory over finite rings are modeled by systems of algebraic equations. Among these problems, we have the rank decoding problem, which is used in the construction of p...	[]	Train
42,452	30	Title: Reducing Spurious Correlations for Aspect-Based Sentiment Analysis with Variational Information Bottleneck and Contrastive Learning Abstract: Deep learning techniques have dominated the literature on aspect-based sentiment analysis (ABSA), yielding state-of-the-art results. However, these deep models generally s...	[]	Train
42,453	24	Title: Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting Abstract: Graph neural networks (GNNs), especially dynamic GNNs, have become a research hotspot in spatio-temporal forecasting problems. While many dynamic graph construction methods have been developed, r...	[ 15111 ]	Train
42,454	31	Title: Filter Bubbles in Recommender Systems: Fact or Fallacy - A Systematic Review Abstract: A filter bubble refers to the phenomenon where Internet customization effectively isolates individuals from diverse opinions or materials, resulting in their exposure to only a select set of content. This can lead to the reinf...	[]	Test
42,455	24	Title: Formulating A Strategic Plan Based On Statistical Analyses And Applications For Financial Companies Through A Real-World Use Case Abstract: Business statistics play a crucial role in implementing a data-driven strategic plan at the enterprise level to employ various analytics where the outcomes of such a plan en...	[]	Train
42,456	18	Title: Machine learning using magnetic stochastic synapses Abstract: The impressive performance of artificial neural networks has come at the cost of high energy usage and CO2 emissions. Unconventional computing architectures, with magnetic systems as a candidate, have potential as alternative energy-efficient hardware...	[]	Test
42,457	16	Title: Patch-aware Batch Normalization for Improving Cross-domain Robustness Abstract: Despite the significant success of deep learning in computer vision tasks, cross-domain tasks still present a challenge in which the model's performance will degrade when the training set and the test set follow different distributio...	[]	Train
42,458	30	Title: The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations Abstract: Large Language Models (LLMs) have seen widespread deployment in various real-world applications. Understanding these biases is crucial to comprehend the potential downstream consequences when usin...	[ 14569, 13700, 38157, 43566 ]	Validation
42,459	16	Title: AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection Abstract: Unsupervised domain adaptive object detection is a challenging vision task where object detectors are adapted from a label-rich source domain to an unlabeled target domain. Recent advances prove the efficacy of t...	[]	Test
42,460	16	Title: JL-lemma derived Optimal Projections for Discriminative Dictionary Learning Abstract: To overcome difficulties in classifying large dimensionality data with a large number of classes, we propose a novel approach called JLSPCADL. This paper uses the Johnson-Lindenstrauss (JL) Lemma to select the dimensionality of...	[]	Train
42,461	16	Title: Feature Chirality in Deep Learning Models Abstract: As deep learning applications extensively increase by leaps and bounds, their interpretability has become increasingly prominent. As a universal property, chirality exists widely in nature, and applying it to the explanatory research of deep learning may be hel...	[]	Train
42,462	16	Title: OpenMask3D: Open-Vocabulary 3D Instance Segmentation Abstract: We introduce the task of open-vocabulary 3D instance segmentation. Traditional approaches for 3D instance segmentation largely rely on existing 3D annotated datasets, which are restricted to a closed-set of object categories. This is an important lim...	[ 41400, 4643, 22222 ]	Train
42,463	34	Title: UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting Abstract: Since its invention HyperLogLog has become the standard algorithm for approximate distinct counting. Due to its space efficiency and suitability for distributed systems, it is widely used and ...	[]	Train
42,464	8	Title: Mobile Metaverse: A Road Map from Metaverse to Metavehicles Abstract: With the rapid development of communication technologies and extended reality (XR), the services and applications of the Metaverse are gradually entering our lives. However, the current development of the Metaverse provides users with services...	[ 39946 ]	Train
42,465	16	Title: Few-shot Classification via Ensemble Learning with Multi-Order Statistics Abstract: Transfer learning has been widely adopted for few-shot classification. Recent studies reveal that obtaining good generalization representation of images on novel classes is the key to improving the few-shot classification accurac...	[]	Train
42,466	27	Title: Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications Abstract: Synthesizing planning and control policies in robotics is a fundamental task, further complicated by factors such as complex logic specifications and high-dimensional robot dynamics. This paper presents a novel...	[ 3782 ]	Test
42,467	24	Title: The Power of Typed Affine Decision Structures: A Case Study Abstract: nan	[ 42298 ]	Test
42,468	25	Title: Cost-effective Models for Detecting Depression from Speech Abstract: Depression is the most common psychological disorder and is considered as a leading cause of disability and suicide worldwide. An automated system capable of detecting signs of depression in human speech can contribute to ensuring timely and ef...	[]	Train
42,469	8	Title: Beam Management Driven by Radio Environment Maps in O-RAN Architecture Abstract: The Massive Multiple-Input Multiple-Output (M-MIMO) is considered as one of the key technologies in 5G, and future 6G networks. From the perspective of, e.g., channel estimation, especially for high-speed users it is easier to imple...	[]	Train
42,470	39	Title: Snapshot disjointness in temporal graphs Abstract: In the study of temporal graphs, only paths respecting the flow of time are relevant. In this context, many concepts of walks disjointness were proposed over the years, and the validity of Menger's Theorem, as well as the complexity of related problems, has been...	[]	Test
42,471	31	Title: Integrating Item Relevance in Training Loss for Sequential Recommender Systems Abstract: Sequential Recommender Systems (SRSs) are a popular type of recommender system that leverages user history to predict the next item of interest. However, the presence of noise in user interactions, stemming from account shar...	[ 666, 1158, 23767 ]	Train
42,472	16	Title: Occ-BEV: Multi-Camera Unified Pre-training via 3D Scene Reconstruction Abstract: Multi-camera 3D perception has emerged as a prominent research field in autonomous driving, offering a viable and cost-effective alternative to LiDAR-based solutions. However, existing multi-camera algorithms primarily rely on monoc...	[ 10240, 12576, 45474, 26151, 17612, 529, 13490, 9107, 2933, 24600, 22585, 22815 ]	Train
42,473	24	Title: DITTO: Offline Imitation Learning with World Models Abstract: We propose DITTO, an offline imitation learning algorithm which uses world models and on-policy reinforcement learning to addresses the problem of covariate shift, without access to an oracle or any additional online interactions. We discuss how world...	[ 14402, 4915 ]	Validation
42,474	24	Title: Learning from Stochastic Labels Abstract: Annotating multi-class instances is a crucial task in the field of machine learning. Unfortunately, identifying the correct class label from a long sequence of candidate labels is time-consuming and laborious. To alleviate this problem, we design a novel labeling mechani...	[]	Train
42,475	24	Title: Logarithmic Bayes Regret Bounds Abstract: We derive the first finite-time logarithmic regret bounds for Bayesian bandits. For Gaussian bandits, we obtain a $O(c_h \log^2 n)$ bound, where $c_h$ is a prior-dependent constant. This matches the asymptotic lower bound of Lai (1987). Our proofs mark a technical depart...	[]	Test
42,476	10	Title: Towards Reliable Rare Category Analysis on Graphs via Individual Calibration Abstract: Rare categories abound in a number of real-world networks and play a pivotal role in a variety of high-stakes applications, including financial fraud detection, network intrusion detection, and rare disease diagnosis. Rare cat...	[ 40624 ]	Train
42,477	7	Title: 4D topology optimization: Integrated optimization of the structure and self-actuation of soft bodies for dynamic motions Abstract: nan	[]	Test

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.