node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
36,778 | 3 | Title: Computing Education in the Era of Generative AI
Abstract: The computing education community has a rich history of pedagogical innovation designed to support students in introductory courses, and to support teachers in facilitating student learning. Very recent advances in artificial intelligence have resulted in... | [
40036,
27205,
37450,
4976,
593,
3314,
46102,
39547
] | Train |
36,779 | 34 | Title: Independent Sets in Elimination Graphs with a Submodular Objective
Abstract: Maximum weight independent set (MWIS) admits a $\frac1k$-approximation in inductively $k$-independent graphs and a $\frac{1}{2k}$-approximation in $k$-perfectly orientable graphs. These are a a parameterized class of graphs that general... | [] | Train |
36,780 | 24 | Title: Papaya: Federated Learning, but Fully Decentralized
Abstract: Federated Learning systems use a centralized server to aggregate model updates. This is a bandwidth and resource-heavy constraint and exposes the system to privacy concerns. We instead implement a peer to peer learning system in which nodes train on t... | [] | Validation |
36,781 | 6 | Title: Subtle interactions for distress regulation: Efficiency of a haptic wearable according to personality
Abstract: nan | [] | Validation |
36,782 | 4 | Title: DeeBBAA: A benchmark Deep Black Box Adversarial Attack against Cyber-Physical Power Systems
Abstract: An increased energy demand, and environmental pressure to accommodate higher levels of renewable energy and flexible loads like electric vehicles have led to numerous smart transformations in the modern power sy... | [] | Train |
36,783 | 8 | Title: Cobalt: Optimizing Mining Rewards in Proof-of-Work Network Games
Abstract: Mining in proof-of-work blockchains has become an expensive affair requiring specialized hardware capable of executing several megahashes per second at huge electricity costs. Miners earn a reward each time they mine a block within the lo... | [] | Train |
36,784 | 5 | Title: DLRover: An Elastic Deep Training Extension with Auto Job Resource Recommendation
Abstract: The cloud is still a popular platform for distributed deep learning (DL) training jobs since resource sharing in the cloud can improve resource utilization and reduce overall costs. However, such sharing also brings multi... | [] | Train |
36,785 | 16 | Title: Towards Visual Saliency Explanations of Face Verification
Abstract: In the past years, deep convolutional neural networks have been pushing the frontier of face recognition (FR) techniques in both verification and identification scenarios. Despite the high accuracy, they are often criticized for lacking explaina... | [
39306
] | Test |
36,786 | 30 | Title: Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
Abstract: Sparse Mixture-of-Experts (MoE) is a neural architecture design that can be utilized to add learnable parameters to Large Language Models (LLMs) without increasing inference cost. Instruction tuning is a techniq... | [
23745,
37987,
25892,
15413,
46197,
32859
] | Train |
36,787 | 9 | Title: The Noncommutative Edmonds' Problem Re-visited
Abstract: Let $T$ be a matrix whose entries are linear forms over the noncommutative variables $x_1, x_2, \ldots, x_n$. The noncommutative Edmonds' problem (NSINGULAR) aims to determine whether $T$ is invertible in the free skew field generated by $x_1,x_2,\ldots,x_... | [] | Train |
36,788 | 16 | Title: Handwritten image augmentation
Abstract: In this paper, we introduce Handwritten augmentation, a new data augmentation for handwritten character images. This method focuses on augmenting handwritten image data by altering the shape of input characters in training. The proposed handwritten augmentation is similar... | [] | Train |
36,789 | 26 | Title: Divergences in Following Patterns between Influential Twitter Users and Their Audiences across Dimensions of Identity
Abstract: Identity spans multiple dimensions; however, the relative salience of a dimension of identity can vary markedly from person to person. Furthermore, there is often a difference between o... | [] | Test |
36,790 | 24 | Title: Bandit Convex Optimisation Revisited: FTRL Achieves $\tilde{O}(t^{1/2})$ Regret
Abstract: We show that a kernel estimator using multiple function evaluations can be easily converted into a sampling-based bandit estimator with expectation equal to the original kernel estimate. Plugging such a bandit estimator int... | [] | Train |
36,791 | 24 | Title: Nexus sine qua non: Essentially Connected Networks for Traffic Forecasting
Abstract: Spatiotemporal graph neural networks (STGNNs) have emerged as a leading approach for learning representations and forecasting on traffic datasets with underlying topological and correlational structures. However, current STGNNs ... | [
32869,
23527,
40348,
28445,
39454
] | Train |
36,792 | 24 | Title: Transferring Learning Trajectories of Neural Networks
Abstract: Training deep neural networks (DNNs) is computationally expensive, which is problematic especially when performing duplicated training runs, such as model ensemble or knowledge distillation. Once we have trained one DNN on some dataset, we have its ... | [] | Train |
36,793 | 16 | Title: Adaptive Voronoi NeRFs
Abstract: Neural Radiance Fields (NeRFs) learn to represent a 3D scene from just a set of registered images. Increasing sizes of a scene demands more complex functions, typically represented by neural networks, to capture all details. Training and inference then involves querying the neura... | [
37769,
9565
] | Validation |
36,794 | 16 | Title: A large-scale dataset for end-to-end table recognition in the wild
Abstract: nan | [] | Validation |
36,795 | 16 | Title: Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Abstract: Self-supervised learning in computer vision aims to leverage the inherent structure and relationships within data to learn meaningful representations without explicit human annotation, enabling a holistic... | [] | Train |
36,796 | 16 | Title: Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
Abstract: Object segmentation for robotic grasping under dynamic conditions often faces challenges such as occlusion, low light conditions, motion blur and object size variance. To address these challenges, we propose a Deep ... | [
1979
] | Test |
36,797 | 25 | Title: M3-AUDIODEC: Multi-channel multi-speaker multi-spatial audio codec
Abstract: We introduce M3-AUDIODEC, an innovative neural spatial audio codec designed for efficient compression of multi-channel (binaural) speech in both single and multi-speaker scenarios, while retaining the spatial location information of eac... | [
15055
] | Validation |
36,798 | 28 | Title: The Principle of Uncertain Maximum Entropy
Abstract: The principle of maximum entropy, as introduced by Jaynes in information theory, has contributed to advancements in various domains such as Statistical Mechanics, Machine Learning, and Ecology. Its resultant solutions have served as a catalyst, facilitating re... | [] | Train |
36,799 | 24 | Title: A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates
Abstract: In this work, we propose FLANDERS, a novel federated learning (FL) aggregation scheme robust to Byzantine attacks. FLANDERS considers the local model updates sent by clients at each FL round as a... | [
24984
] | Validation |
36,800 | 16 | Title: Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection
Abstract: Face recognition (FR) systems continue to spread in our daily lives with an increasing demand for higher explainability and interpretability of FR systems that are mainly based on deep learning. While bias across... | [] | Validation |
36,801 | 16 | Title: Structure Flow-Guided Network for Real Depth Super-Resolution
Abstract: Real depth super-resolution (DSR), unlike synthetic settings, is a challenging task due to the structural distortion and the edge noise caused by the natural degradation in real-world low-resolution (LR) depth maps. These defeats result in s... | [] | Train |
36,802 | 27 | Title: Motion Planning as Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning
Abstract: Kinodynamic motion planners allow robots to perform complex manipulation tasks under dynamics constraints or with black-box models. However, they struggle to find high-quality solutions, especially ... | [] | Train |
36,803 | 4 | Title: Anomaly Detection Dataset for Industrial Control Systems
Abstract: Over the past few decades, Industrial Control Systems (ICSs) have been targeted by cyberattacks and are becoming increasingly vulnerable as more ICSs are connected to the internet. Using Machine Learning (ML) for Intrusion Detection Systems (IDS)... | [] | Train |
36,804 | 31 | Title: CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services
Abstract: Click-through rate (CTR) prediction is a crucial task in the context of an online on-demand food delivery (OFD) platform for precisely estimating the probability of a user clicking on food items. ... | [] | Validation |
36,805 | 30 | Title: Semantic Change Detection for the Romanian Language
Abstract: Automatic semantic change methods try to identify the changes that appear over time in the meaning of words by analyzing their usage in diachronic corpora. In this paper, we analyze different strategies to create static and contextual word embedding m... | [] | Train |
36,806 | 24 | Title: Exploring reinforcement learning techniques for discrete and continuous control tasks in the MuJoCo environment
Abstract: We leverage the fast physics simulator, MuJoCo to run tasks in a continuous control environment and reveal details like the observation space, action space, rewards, etc. for each task. We be... | [] | Train |
36,807 | 24 | Title: Optimal PAC Bounds Without Uniform Convergence
Abstract: In statistical learning theory, determining the sample complexity of realizable binary classification for VC classes was a long-standing open problem. The results of Simon and Hanneke established sharp upper bounds in this setting. However, the reliance of... | [
25328,
35557,
1551
] | Train |
36,808 | 3 | Title: Non-Intrusive Driver Behavior Characterization From Road-Side Cameras
Abstract: In this paper, we demonstrate a proof of concept for characterizing vehicular behavior using only the roadside cameras of the ITS system. The essential advantage of this method is that it can be implemented in the roadside infrastruc... | [] | Train |
36,809 | 24 | Title: Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection
Abstract: Methods which utilize the outputs or feature representations of predictive models have emerged as promising approaches for out-of-distribution (OOD) detection of image inputs. However, as demonstrated in previous work, ... | [
31248
] | Train |
36,810 | 16 | Title: Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes correctly. In the literature, several existin... | [
33523,
21748,
26461,
18614
] | Validation |
36,811 | 16 | Title: Plotting Behind the Scenes: Towards Learnable Game Engines
Abstract: Game engines are powerful tools in computer graphics. Their power comes at the immense cost of their development. In this work, we present a framework to train game-engine-like neural models, solely from monocular annotated videos. The result-a... | [
34380,
26086
] | Train |
36,812 | 28 | Title: Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity
Abstract: Semantic communication has gained significant attention from researchers as a promising technique to replace conventional communication in the next generation of communication systems, primarily due t... | [
15660
] | Train |
36,813 | 30 | Title: A Multimodal Analysis of Influencer Content on Twitter
Abstract: Influencer marketing involves a wide range of strategies in which brands collaborate with popular content creators (i.e., influencers) to leverage their reach, trust, and impact on their audience to promote and endorse products or services. Because... | [] | Train |
36,814 | 25 | Title: Phone and Speaker Spatial Organization in Self-Supervised Speech Representations
Abstract: Self-supervised representations of speech are currently being widely used for a large number of applications. Recently, some efforts have been made in trying to analyze the type of information present in each of these repr... | [] | Train |
36,815 | 23 | Title: Investigating the Impact of Vocabulary Difficulty and Code Naturalness on Program Comprehension
Abstract: Context: Developers spend most of their time comprehending source code during software development. Automatically assessing how readable and understandable source code is can provide various benefits in diff... | [] | Validation |
36,816 | 24 | Title: Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease
Abstract: Alzheimer's disease (AD) has a complex and multifactorial etiology, which requires integrating information about neuroanatomy, genetics, and cerebrospinal fluid biomarkers for accurate diagnosis. H... | [] | Train |
36,817 | 8 | Title: From Small to Large: Clos Network for Scaling All-Optical Switching
Abstract: To cater to the demands of our rapidly growing Internet traffic, backbone networks need high-degree reconfigurable optical add/drop multiplexers (ROADMs) to simultaneously support multiple pairs of bi-directional fibers on each link. H... | [] | Test |
36,818 | 30 | Title: Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling
Abstract: We study speech intent classification and slot filling (SICSF) by proposing to use an encoder pretrained on speech recognition (ASR) to initialize an end-to-end (E2E) Conformer-Transf... | [] | Train |
36,819 | 23 | Title: Wanted: standards for automatic reproducibility of computational experiments
Abstract: Those seeking to reproduce a computational experiment often need to manually look at the code to see how to build necessary libraries, configure parameters, find data, and invoke the experiment; it is not automatic. Automatic ... | [] | Train |
36,820 | 30 | Title: DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models
Abstract: A few benchmarking datasets have been released to evaluate the factual knowledge of pretrained language models. These benchmarks (e.g., LAMA, and ParaRel) are mainly developed in English and... | [
22833,
21574
] | Test |
36,821 | 6 | Title: Developing a Framework for Heterotopias as Discursive Playgrounds: A Comparative Analysis of Non-Immersive and Immersive Technologies
Abstract: The discursive space represents the reordering of knowledge gained through accumulation. In the digital age, multimedia has become the language of information, and the s... | [] | Train |
36,822 | 30 | Title: Background Knowledge Grounding for Readable, Relevant, and Factual Biomedical Lay Summaries
Abstract: Communication of scientific findings to the public is important for keeping non-experts informed of developments such as life-saving medical treatments. However, generating readable lay summaries from scientific... | [] | Test |
36,823 | 16 | Title: Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction
Abstract: Depth estimation from light field (LF) images is a fundamental step for numerous applications. Recently, learning-based methods have achieved higher accuracy and efficiency than the traditional methods. ... | [] | Train |
36,824 | 27 | Title: Optimization-Based Motion Planning for Autonomous Agricultural Vehicles Turning in Constrained Headlands
Abstract: Headland maneuvering is a crucial aspect of unmanned field operations for autonomous agricultural vehicles (AAVs). While motion planning for headland turning in open fields has been extensively stud... | [] | Validation |
36,825 | 30 | Title: Solving morphological analogies: from retrieval to generation
Abstract: Analogical inference is a remarkable capability of human reasoning, and has been used to solve hard reasoning tasks. Analogy based reasoning (AR) has gained increasing interest from the artificial intelligence community and has shown its pot... | [] | Train |
36,826 | 24 | Title: Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference
Abstract: Convolutional neural networks (CNN) are widely used in resource-constrained devices in IoT applications. In order to reduce the computational complexity and memory footprint, the resource-constrained devices use fixed... | [] | Train |
36,827 | 10 | Title: Hybrid Probabilistic Logic Programming: Inference and Learning
Abstract: This thesis focuses on advancing probabilistic logic programming (PLP), which combines probability theory for uncertainty and logic programming for relations. The thesis aims to extend PLP to support both discrete and continuous random vari... | [] | Test |
36,828 | 16 | Title: Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Abstract: Foundation models have made significant strides in 2D and language tasks such as image segmentation, object detection, and visual-language understanding. Nevertheless, their potential to enhance 3D scene representati... | [
7776,
6337,
10624,
4643,
13700,
22767,
40883,
33782,
4919,
23545,
30238,
35263
] | Train |
36,829 | 16 | Title: Bilevel Fast Scene Adaptation for Low-Light Image Enhancement
Abstract: Enhancing images in low-light scenes is a challenging but widely concerned task in the computer vision. The mainstream learning-based methods mainly acquire the enhanced model by learning the data distribution from the specific scenes, causi... | [
16064,
30464,
10982,
32070,
34875,
39153,
7634,
8120,
32827,
20542
] | Test |
36,830 | 16 | Title: Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
Abstract: Self-supervised monocular depth estimation (SS-MDE) has the potential to scale to vast quantities of data. Unfortunately, existing approaches limit themselves to the automotive domain, resulting in models incapable of generalizing ... | [
23815
] | Train |
36,831 | 27 | Title: Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception
Abstract: Uncertainty in control and perception poses challenges for autonomous vehicle navigation in unstructured environments, leading to navigation failures and potential vehicle damage. This paper introduces a fr... | [
33400
] | Validation |
36,832 | 10 | Title: Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search
Abstract: Recent work proposed the UCTMAXSAT algorithm to address Maximum Satisfiability Problems (MaxSAT) and shown improved performance over pure Stochastic Local Search algorithms (SLS). UCTMAXSAT is based on Monte Carlo Tree Search but... | [] | Train |
36,833 | 16 | Title: End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Abstract: Classifier guidance -- using the gradients of an image classifier to steer the generations of a diffusion model -- has the potential to dramatically expand the creative control over image generation and editing. However, currently cl... | [
34074,
3690,
24763,
8308
] | Test |
36,834 | 16 | Title: Spatially Varying Nanophotonic Neural Networks
Abstract: The explosive growth of computation and energy cost of artificial intelligence has spurred strong interests in new computing modalities as potential alternatives to conventional electronic processors. Photonic processors that execute operations using photo... | [] | Train |
36,835 | 27 | Title: Viewpoint Generation using Feature-Based Constrained Spaces for Robot Vision Systems
Abstract: The efficient computation of viewpoints while considering various system and process constraints is a common challenge that any robot vision system is confronted with when trying to execute a vision task. Although fund... | [] | Train |
36,836 | 16 | Title: Align-DETR: Improving DETR with Simple IoU-aware BCE loss
Abstract: DETR has set up a simple end-to-end pipeline for object detection by formulating this task as a set prediction problem, showing promising potential. However, despite the significant progress in improving DETR, this paper identifies a problem of ... | [
9138
] | Validation |
36,837 | 16 | Title: AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects
Abstract: This paper focuses on motion prediction for point cloud sequences in the challenging case of deformable 3D objects, such as human body motion. First, we investigate the challenges caused by deformable shape... | [] | Train |
36,838 | 10 | Title: Enhancing Temporal Planning Domains by Sequential Macro-actions (Extended Version)
Abstract: Temporal planning is an extension of classical planning involving concurrent execution of actions and alignment with temporal constraints. Durative actions along with invariants allow for modeling domains in which multip... | [] | Validation |
36,839 | 16 | Title: Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps
Abstract: Automatic camera-assisted monitoring of insects for abundance estimations is crucial to understand and counteract ongoing insect decline. In this paper, we present two datasets of nocturnal insects, especially moths as a sub... | [
12042,
35215
] | Train |
36,840 | 24 | Title: Offline Reinforcement Learning with On-Policy Q-Function Regularization
Abstract: The core challenge of offline reinforcement learning (RL) is dealing with the (potentially catastrophic) extrapolation error induced by the distribution shift between the history dataset and the desired policy. A large portion of p... | [
16407
] | Train |
36,841 | 26 | Title: An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
Abstract: Similar to community detection, partitioning the nodes of a network according to their structural roles aims to identify fundamental building blocks of a network. The found partitions can be used, e.g.... | [] | Test |
36,842 | 16 | Title: Membrane Potential Batch Normalization for Spiking Neural Networks
Abstract: As one of the energy-efficient alternatives of conventional neural networks (CNNs), spiking neural networks (SNNs) have gained more and more interest recently. To train the deep models, some effective batch normalization (BN) techniques... | [
22629,
18342,
45868,
27662,
14833,
37372
] | Validation |
36,843 | 24 | Title: On the Robustness of Randomized Ensembles to Adversarial Perturbations
Abstract: Randomized ensemble classifiers (RECs), where one classifier is randomly selected during inference, have emerged as an attractive alternative to traditional ensembling methods for realizing adversarially robust classifiers with limi... | [
17244,
22061
] | Train |
36,844 | 16 | Title: Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards
Abstract: Recent advances in text-to-image diffusion models have achieved remarkable success in generating high-quality, realistic images from given text prompts. However, previous methods fail to perform accurate modality alignment betwe... | [
10624,
37152,
30402,
20435,
28532,
36084,
22201,
35263
] | Train |
36,845 | 13 | Title: Saturated Non-Monotonic Activation Functions
Abstract: Activation functions are essential to deep learning networks. Popular and versatile activation functions are mostly monotonic functions, some non-monotonic activation functions are being explored and show promising performance. But by introducing non-monoton... | [] | Train |
36,846 | 27 | Title: GPRL: Gaussian Processes-Based Relative Localization for Multi-Robot Systems
Abstract: Relative localization is crucial for multi-robot systems to perform cooperative tasks, especially in GPS-denied environments. Current techniques for multi-robot relative localization rely on expensive or short-range sensors su... | [] | Validation |
36,847 | 27 | Title: ShakingBot: Dynamic Manipulation for Bagging
Abstract: Bag manipulation through robots is complex and challenging due to the deformability of the bag. Based on dynamic manipulation strategy, we propose a new framework, ShakingBot, for the bagging tasks. ShakingBot utilizes a perception module to identify the key... | [
11970
] | Test |
36,848 | 24 | Title: $\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
Abstract: As graph data size increases, the vast latency and memory consumption during inference pose a significant challenge to the real-world deployment of Graph Neural Networks (GNNs). While quantization is a powerful approach to reducing GN... | [] | Validation |
36,849 | 16 | Title: Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
Abstract: Intracerebral hemorrhage (ICH) is the second most common and deadliest form of stroke. Despite medical advances, predicting treat ment outcomes for ICH remains a challenge. This paper... | [] | Train |
36,850 | 16 | Title: detrex: Benchmarking Detection Transformers
Abstract: The DEtection TRansformer (DETR) algorithm has received considerable attention in the research community and is gradually emerging as a mainstream approach for object detection and other perception tasks. However, the current field lacks a unified and compreh... | [
33218,
2984,
38984,
14926,
3955,
13660
] | Test |
36,851 | 13 | Title: A Hybrid Training Algorithm for Continuum Deep Learning Neuro-Skin Neural Network
Abstract: In this brief paper, a learning algorithm is developed for Deep Learning NeuroSkin Neural Network to improve their learning properties. Neuroskin is a new type of neural network presented recently by the authors. It is co... | [] | Test |
36,852 | 24 | Title: Generative models for wearables data
Abstract: Data scarcity is a common obstacle in medical research due to the high costs associated with data collection and the complexity of gaining access to and utilizing data. Synthesizing health data may provide an efficient and cost-effective solution to this shortage, e... | [] | Validation |
36,853 | 4 | Title: Committed Private Information Retrieval
Abstract: A private information retrieval (PIR) scheme allows a client to retrieve a data item $x_i$ among $n$ items $x_1,x_2,\ldots,x_n$ from $k$ servers, without revealing what $i$ is even when $t<k$ servers collude and try to learn $i$. Such a PIR scheme is said to be $... | [] | Train |
36,854 | 24 | Title: Graph Topology Learning Under Privacy Constraints
Abstract: We consider the problem of inferring the underlying graph topology from smooth graph signals in a novel but practical scenario where data are located in distributed clients and are privacy-sensitive. The main difficulty of this task lies in how to utili... | [] | Train |
36,855 | 5 | Title: Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation
Abstract: We treat the problem of client selection in a Federated Learning (FL) setup, where the learning objective and the local incentives of the participants are used to formulate a goal-oriented communication problem... | [] | Train |
36,856 | 16 | Title: Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching
Abstract: Feature matching is a crucial technique in computer vision. A unified perspective for this task is to treat it as a searching problem, aiming at an efficient search strategy to narrow the search spac... | [
17633,
33222
] | Train |
36,857 | 24 | Title: Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
Abstract: Communication compression is a common technique in distributed optimization that can alleviate communication overhead by transmitting compressed gradients and model parameters. However, compression can introduce in... | [
46089,
22738
] | Train |
36,858 | 8 | Title: Minimal Sleep Delay Driven Aggregation Tree Construction in IoT Sensor Networks
Abstract: Data aggregation is a fundamental technique in wireless sensor networks (WSNs) in which sensory data collected by intermediate nodes is merged by in-network computation using maximum, average, or sum functions. Because sens... | [] | Test |
36,859 | 16 | Title: Audio-Driven 3D Facial Animation from In-the-Wild Videos
Abstract: Given an arbitrary audio clip, audio-driven 3D facial animation aims to generate lifelike lip motions and facial expressions for a 3D head. Existing methods typically rely on training their models using limited public 3D datasets that contain a r... | [
25287
] | Train |
36,860 | 24 | Title: Reinforcement Causal Structure Learning on Order Graph
Abstract: Learning directed acyclic graph (DAG) that describes the causality of observed data is a very challenging but important task. Due to the limited quantity and quality of observed data, and non-identifiability of causal graph, it is almost impossible... | [] | Train |
36,861 | 31 | Title: Personalized Elastic Embedding Learning for On-Device Recommendation
Abstract: To address privacy concerns and reduce network latency, there has been a recent trend of compressing cumbersome recommendation models trained on the cloud and deploying compact recommender models to resource-limited devices for real-t... | [
36255
] | Test |
36,862 | 16 | Title: Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation
Abstract: Neural architecture search (NAS) has emerged as one successful technique to find robust deep neural network (DNN) architectures. However, most existing robustness evaluations in NAS only consider $l_{\infty}$ ... | [] | Train |
36,863 | 27 | Title: Tightly-coupled Visual-DVL-Inertial Odometry for Robot-based Ice-water Boundary Exploration
Abstract: Robotic underwater systems, e.g., Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs), are promising tools for collecting biogeochemical data at the ice-water interface for scientific adv... | [] | Test |
36,864 | 16 | Title: PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
Abstract: One of the main challenges in LiDAR-based 3D object detection is that the sensors often fail to capture the complete spatial information about the objects due to long distance and occlusion. Two-stage detectors with point cloud completi... | [] | Validation |
36,865 | 27 | Title: Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic Tendon-Driven Hand with Rolling Contact Joints
Abstract: Biomimetic, dexterous robotic hands have the potential to replicate much of the tasks that a human can do, and to achieve status as a general manipulation platform. Recent advances in r... | [] | Train |
36,866 | 31 | Title: DuoSearch: A Novel Search Engine for Bulgarian Historical Documents
Abstract: nan | [] | Train |
36,867 | 16 | Title: SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
Abstract: Semantic scene completion (SSC) jointly predicts the semantics and geometry of the entire 3D scene, which plays an essential role in 3D scene understanding for autonomous driving systems. SSC has achieved rapi... | [] | Train |
36,868 | 16 | Title: LCDnet: a lightweight crowd density estimation model for real-time video surveillance
Abstract: nan | [
36463
] | Train |
36,869 | 16 | Title: Latency-aware Unified Dynamic Networks for Efficient Image Recognition
Abstract: Dynamic computation has emerged as a promising avenue to enhance the inference efficiency of deep networks. It allows selective activation of computational units, leading to a reduction in unnecessary computations for each input sam... | [] | Train |
36,870 | 23 | Title: Navigating Complexity in Software Engineering: A Prototype for Comparing GPT-n Solutions
Abstract: Navigating the diverse solution spaces of non-trivial software engineering tasks requires a combination of technical knowledge, problem-solving skills, and creativity. With multiple possible solutions available, ea... | [
11273
] | Validation |
36,871 | 27 | Title: NerfBridge: Bringing Real-time, Online Neural Radiance Field Training to Robotics
Abstract: This work was presented at the IEEE International Conference on Robotics and Automation 2023 Workshop on Unconventional Spatial Representations. Neural radiance fields (NeRFs) are a class of implicit scene representations... | [
19781
] | Validation |
36,872 | 30 | Title: Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models
Abstract: In this paper, we study the problem of generating obstinate (over-stability) adversarial examples by word substitution in NLP, where input text is meaningfully changed but the model's prediction does not, ... | [
17263
] | Train |
36,873 | 16 | Title: A Synthetic Electrocardiogram (ECG) Image Generation Toolbox to Facilitate Deep Learning-Based Scanned ECG Digitization
Abstract: The electrocardiogram (ECG) is an accurate and widely available tool for diagnosing cardiovascular diseases. ECGs have been recorded in printed formats for decades and their digitizat... | [] | Train |
36,874 | 16 | Title: ZRG: A High Resolution 3D Residential Rooftop Geometry Dataset for Machine Learning
Abstract: In this paper we present the Zeitview Rooftop Geometry (ZRG) dataset. ZRG contains thousands of samples of high resolution orthomosaics of aerial imagery of residential rooftops with corresponding digital surface models... | [] | Train |
36,875 | 16 | Title: Face Encryption via Frequency-Restricted Identity-Agnostic Attacks
Abstract: Billions of people are sharing their daily live images on social media everyday. However, malicious collectors use deep face recognition systems to easily steal their biometric information (e.g., faces) from these images. Some studies a... | [
44201,
8586
] | Train |
36,876 | 27 | Title: Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations
Abstract: We present a method for sampling-based model predictive control that makes use of a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral controller (MPPI), that ... | [] | Train |
36,877 | 24 | Title: Asynchronous Online Federated Learning with Reduced Communication Requirements
Abstract: Online federated learning (FL) enables geographically distributed devices to learn a global shared model from locally available streaming data. Most online FL literature considers a best-case scenario regarding the participa... | [] | Train |
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