node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
26,678 | 24 | Title: Can Transformer and GNN Help Each Other?
Abstract: Although Transformer has achieved great success in natural language process and computer vision, it has difficulty generalizing to medium and large-scale graph data for two important reasons: (i) High complexity. (ii) Failing to capture the complex and entangled... | [
15424,
31714,
30632,
1292,
32047,
595,
30131,
28149,
27704,
32441,
15836
] | Train |
26,679 | 27 | Title: Controlled illumination for perception and manipulation of Lambertian objects
Abstract: Controlling illumination can generate high quality information about object surface normals and depth discontinuities at a low computational cost. In this work we demonstrate a robot workspace-scaled controlled illumination a... | [] | Train |
26,680 | 16 | Title: Predictive World Models from Real-World Partial Observations
Abstract: Cognitive scientists believe adaptable intelligent agents like humans perform reasoning through learned causal mental simulations of agents and environments. The problem of learning such simulations is called predictive world modeling. Recent... | [
44774
] | Train |
26,681 | 16 | Title: Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search
Abstract: Neural Architecture Search (NAS) has shown great potentials in automatically designing neural network architectures for real-time semantic segmentation. Unlike previous works that utilize a simplified search sp... | [] | Test |
26,682 | 16 | Title: Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning
Abstract: Continual learning aims to learn a model from a continuous stream of data, but it mainly assumes a fixed number of data and tasks with clear task boundaries. However, in real-world scenarios, the numb... | [] | Test |
26,683 | 24 | Title: Large-scale global optimization of ultra-high dimensional non-convex landscapes based on generative neural networks
Abstract: We present a non-convex optimization algorithm metaheuristic, based on the training of a deep generative network, which enables effective searching within continuous, ultra-high dimension... | [] | Train |
26,684 | 10 | Title: A Recommender for the Management of Chronic Pain in Patients Undergoing Spinal Cord Stimulation
Abstract: Spina1 cord stimulation (SCS) is a therapeutic approach used for the management of chronic pain. It involves the delivery of electrical impulses to the spinal cord via an implanted device, which when given s... | [] | Train |
26,685 | 17 | Title: LM-GAN: A Photorealistic All-Weather Parametric Sky Model
Abstract: We present LM-GAN, an HDR sky model that generates photorealistic environment maps with weathered skies. Our sky model retains the flexibility of traditional parametric models and enables the reproduction of photorealistic all-weather skies with... | [] | Train |
26,686 | 16 | Title: Invariant Target Detection in Images through the Normalized 2-D Correlation Technique
Abstract: The normalized 2-D correlation technique is a robust method for detecting targets in images due to its ability to remain invariant under rotation, translation, and scaling. This paper examines the impact of translatio... | [] | Validation |
26,687 | 16 | Title: An Image Processing Pipeline for Autonomous Deep-Space Optical Navigation
Abstract: A new era of space exploration and exploitation is fast approaching. A multitude of spacecraft will flow in the future decades under the propulsive momentum of the new space economy. Yet, the flourishing proliferation of deep-spa... | [] | Test |
26,688 | 6 | Title: Is Silent eHMI Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field
Abstract: Autonomous personal mobility vehicle (APMV) is a miniaturized autonomous vehicle that is used in pedestrian-rich environments. In addition, the open bodywork design of APMVs exposes... | [] | Validation |
26,689 | 10 | Title: A newborn embodied Turing test for view-invariant object recognition
Abstract: Recent progress in artificial intelligence has renewed interest in building machines that learn like animals. Almost all of the work comparing learning across biological and artificial systems comes from studies where animals and mach... | [] | Train |
26,690 | 16 | Title: Enhancing Knee Osteoarthritis severity level classification using diffusion augmented images
Abstract: This research paper explores the classification of knee osteoarthritis (OA) severity levels using advanced computer vision models and augmentation techniques. The study investigates the effectiveness of data pr... | [] | Test |
26,691 | 30 | Title: Multiview Identifiers Enhanced Generative Retrieval
Abstract: Instead of simply matching a query to pre-existing passages, generative retrieval generates identifier strings of passages as the retrieval target. At a cost, the identifier must be distinctive enough to represent a passage. Current approaches use eit... | [
41496,
8139
] | Test |
26,692 | 16 | Title: Deep-learning-based counting methods, datasets, and applications in agriculture: a review
Abstract: nan | [] | Test |
26,693 | 24 | Title: Bayesian Decision Trees Inspired from Evolutionary Algorithms
Abstract: Bayesian Decision Trees (DTs) are generally considered a more advanced and accurate model than a regular Decision Tree (DT) because they can handle complex and uncertain data. Existing work on Bayesian DTs uses Markov Chain Monte Carlo (MCMC... | [] | Test |
26,694 | 16 | Title: Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go
Abstract: Adverse conditions typically suffer from stochastic hybrid weather degradations (e.g., rainy and hazy night), while existing image restoration algorithms envisage that weather degradations occur independently, thus may f... | [
11854
] | Train |
26,695 | 16 | Title: Fine-Grained Action Detection with RGB and Pose Information using Two Stream Convolutional Networks
Abstract: As participants of the MediaEval 2022 Sport Task, we propose a two-stream network approach for the classification and detection of table tennis strokes. Each stream is a succession of 3D Convolutional Ne... | [
21742
] | Train |
26,696 | 8 | Title: Timely Mobile Routing: An Experimental Study
Abstract: Time-critical cyber-physical applications demand the timely delivery of information. In this work, we employ a high-speed packet processing testbed to quantitatively analyze a packet forwarding application running on a shared memory multi-processor architect... | [
29315
] | Train |
26,697 | 24 | Title: Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems
Abstract: In this study, we partition users by rating disposition - looking first at their percentage of negative ratings, and then at the general use of the rating scale. We hypothesize that users with diff... | [
35270,
27637,
25342,
25007
] | Train |
26,698 | 16 | Title: Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
Abstract: Although the recent rapid evolution of 3D generative neural networks greatly improves 3D shape generation, it is still not convenient for ordinary users to create 3D shapes and control the local geometry of generated shapes. To addr... | [
17029,
34000,
31282,
14995,
8919,
26396
] | Test |
26,699 | 16 | Title: ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo
Abstract: Compared to the multi-stage self-supervised multi-view stereo (MVS) method, the end-to-end (E2E) approach has received more attention due to its concise and efficient training pipeline. Recent E2E self-supervised MVS approa... | [] | Train |
26,700 | 15 | Title: Heterogeneous ALU Architecture - Power Aware System
Abstract: The advent of heterogeneous multi-core architectures brought with it huge benefits to energy efficiency by running programs on properly-sized cores. Modern heterogeneous multi-core systems as suggested by Artjom et al. schedule tasks to different core... | [] | Train |
26,701 | 2 | Title: The Temporal Logic Synthesis Format TLSF v1.2
Abstract: We present an extension of the Temporal Logic Synthesis Format (TLSF). TLSF builds on standard LTL, but additionally supports high-level constructs, such as sets and functions, as well as parameters that allow a specification to define a whole a family of p... | [
20817,
44686
] | Train |
26,702 | 1 | Title: Music-Driven Group Choreography
Abstract: Music-driven choreography is a challenging problem with a wide variety of industrial applications. Recently, many methods have been proposed to synthesize dance motions from music for a single dancer. However, generating dance motion for a group remains an open problem. ... | [
32069,
41790
] | Validation |
26,703 | 17 | Title: Decoupled Boundary Handling in SPH
Abstract: Particle-based boundary representations are frequently used in Smoothed Particle Hydrodynamics (SPH) due to their simple integration into fluid solvers. Commonly, incompressible fluid solvers estimate the current density and corresponding forces in case the current de... | [] | Test |
26,704 | 16 | Title: 3D GANs and Latent Space: A comprehensive survey
Abstract: Generative Adversarial Networks (GANs) have emerged as a significant player in generative modeling by mapping lower-dimensional random noise to higher-dimensional spaces. These networks have been used to generate high-resolution images and 3D objects. Th... | [] | Test |
26,705 | 16 | Title: 3D Human Mesh Estimation from Virtual Markers
Abstract: Inspired by the success of volumetric 3D pose estimation, some recent human mesh estimators propose to estimate 3D skeletons as intermediate representations, from which, the dense 3D meshes are regressed by exploiting the mesh topology. However, body shape ... | [
23339
] | Validation |
26,706 | 24 | Title: Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
Abstract: Stochastically Extended Adversarial (SEA) model is introduced by Sachs et al. [2022] as an interpolation between stochastic and adversarial online convex optimization. Under the smoothness condition, the... | [
13840,
39631
] | Validation |
26,707 | 4 | Title: A Review On Game Theory With Smart Grid Security
Abstract: Smart grid is the modern two way mechanism combining the power grid, control center, smart metering facility, energy routing and customer demand response services. The system being complicated, security vulnerabilities are paramount for the sound operati... | [] | Train |
26,708 | 24 | Title: Learning Control Policies for Variable Objectives from Offline Data
Abstract: Offline reinforcement learning provides a viable approach to obtain advanced control strategies for dynamical systems, in particular when direct interaction with the environment is not available. In this paper, we introduce a conceptua... | [] | Train |
26,709 | 24 | Title: On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation with Kolmogorov Superposition Theorem
Abstract: This paper is devoted to studying the optimal expressive power of ReLU deep neural networks (DNNs) and its application in approximation via the Kolmogorov Superposition Theorem. We fi... | [
20219
] | Train |
26,710 | 8 | Title: Age of Information Analysis in Shared Edge Computing Servers
Abstract: Mobile Edge Computing (MEC) is expected to play a significant role in the development of 6G networks, as new applications such as cooperative driving and eXtended Reality (XR) require both communication and computational resources from the ne... | [
31551
] | Train |
26,711 | 16 | Title: Improving the quality of dental crown using a transformer-based method
Abstract: Designing a synthetic crown is a time-consuming, inconsistent, and labor-intensive process. In this work, we present a fully automatic method that not only learns human design dental crowns, but also improves the consistency, functi... | [] | Test |
26,712 | 30 | Title: Reimagining Retrieval Augmented Language Models for Answering Queries
Abstract: We present a reality check on large language models and inspect the promise of retrieval augmented language models in comparison. Such language models are semi-parametric, where models integrate model parameters and knowledge from ex... | [
14736,
9775
] | Test |
26,713 | 7 | Title: Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field
Abstract: Modern computational methods, involving highly sophisticated mathematical formulations, enable several tasks like modeling complex physical phenomenon, predicting key properties and design o... | [] | Train |
26,714 | 16 | Title: SegGPT Meets Co-Saliency Scene
Abstract: Co-salient object detection targets at detecting co-existed salient objects among a group of images. Recently, a generalist model for segmenting everything in context, called SegGPT, is gaining public attention. In view of its breakthrough for segmentation, we can hardly ... | [
24300,
42599
] | Train |
26,715 | 27 | Title: tinySLAM-based exploration with a swarm of nano-UAVs
Abstract: This paper concerns SLAM and exploration for a swarm of nano-UAVs. The laser range finder-based tinySLAM algorithm is used to build maps of the environment. The maps are synchronized using an iterative closest point algorithm. The UAVs then explore t... | [
29897
] | Train |
26,716 | 34 | Title: Minimal dominating sets enumeration with FPT-delay parameterized by the degeneracy and maximum degree
Abstract: At STOC 2002, Eiter, Gottlob, and Makino presented a technique called ordered generation that yields an $n^{O(d)}$-delay algorithm listing all minimal transversals of an $n$-vertex hypergraph of degene... | [] | Validation |
26,717 | 16 | Title: Risk Controlled Image Retrieval
Abstract: Most image retrieval research focuses on improving predictive performance, ignoring scenarios where the reliability of the prediction is also crucial. Uncertainty quantification technique can be applied to mitigate this issue by assessing uncertainty for retrieval sets, ... | [] | Train |
26,718 | 31 | Title: Robust Recommender System: A Survey and Future Directions
Abstract: With the rapid growth of information, recommender systems have become integral for providing personalized suggestions and overcoming information overload. However, their practical deployment often encounters"dirty"data, where noise or malicious ... | [
27281,
4610,
3335
] | Test |
26,719 | 28 | Title: LSFD for Rician-Faded Cell-Free mMIMO Systems With Channel Aging and Hardware Impairments
Abstract: We study the impact of channel aging on the uplink of a cell-free massive multiple-input multiple-output system with hardware impairments. We consider a dynamic analog-to-digital converter architecture at the acce... | [] | Train |
26,720 | 16 | Title: Hierarchical Open-vocabulary Universal Image Segmentation
Abstract: Open-vocabulary image segmentation aims to partition an image into semantic regions according to arbitrary text descriptions. However, complex visual scenes can be naturally decomposed into simpler parts and abstracted at multiple levels of gran... | [
17633,
37254,
23570,
4220,
34943
] | Test |
26,721 | 16 | Title: Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner
Abstract: Large pre-trained multimodal models have demonstrated significant success in a range of downstream tasks, including image captioning, image-text retrieval, visual question answering (VQA), etc. However, many of t... | [
10624,
22114
] | Train |
26,722 | 24 | Title: Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances
Abstract: We study the problem of best-arm identification (BAI) in the fixed-budget setting with heterogeneous reward variances. We propose two variance-adaptive BAI algorithms for this setting: SHVar for known reward variances and SHAdaVar... | [] | Test |
26,723 | 38 | Title: The Use of Public Data and Free Tools in National CSIRTs' Operational Practices: A Systematic Literature Review
Abstract: Many CSIRTs, including national CSIRTs, routinely use public data, including open-source intelligence (OSINT) and free tools, which include open-source tools in their work. However, we observ... | [] | Train |
26,724 | 33 | Title: Magic numbers in periodic sequences
Abstract: nan | [] | Train |
26,725 | 27 | Title: Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
Abstract: Many robotic tasks, such as human-robot interactions or the handling of fragile objects, require tight control and limitation of appearing forces and moments alongside sensible motion control to achieve safe yet high-... | [] | Train |
26,726 | 30 | Title: CopyNE: Better Contextual ASR by Copying Named Entities
Abstract: Recent years have seen remarkable progress in automatic speech recognition (ASR). However, traditional token-level ASR models have struggled with accurately transcribing entities due to the problem of homophonic and near-homophonic tokens. This pa... | [
20478
] | Train |
26,727 | 24 | Title: qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
Abstract: Preferential Bayesian optimization (PBO) is a framework for optimizing a decision maker's latent utility function using preference feedback. This work introduces the expected utility of the best option (qEUBO) as a ... | [] | Test |
26,728 | 2 | Title: Moore-Penrose Dagger Categories
Abstract: The notion of a Moore-Penrose inverse (M-P inverse) was introduced by Moore in 1920 and rediscovered by Penrose in 1955. The M-P inverse of a complex matrix is a special type of inverse which is unique, always exists, and can be computed using singular value decompositio... | [] | Train |
26,729 | 24 | Title: Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Abstract: Molecular representation learning is a crucial task in predicting molecular properties. Molecules are often modeled as graphs where atoms and chemical bonds are represented as nodes and edges, respectively, and Graph ... | [] | Validation |
26,730 | 30 | Title: CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction
Abstract: It is intractable to evaluate the performance of Grammatical Error Correction (GEC) systems since GEC is a highly subjective task. Designing an evaluation metric that is as objective as possible is crucial to the development o... | [
32425,
32915,
45300,
17487
] | Train |
26,731 | 30 | Title: Machine Translation for Accessible Multi-Language Text Analysis
Abstract: English is the international standard of social research, but scholars are increasingly conscious of their responsibility to meet the need for scholarly insight into communication processes globally. This tension is as true in computationa... | [] | Train |
26,732 | 28 | Title: Finding the minimum distance and decoding linear codes with Gaussian Elimination Method
Abstract: We propose an algorithm using the Gaussian elimination method to find the minimal Hamming distance and decode received messages of linear codes. This algorithm is easy to implement as it requires no Gr\"obner bases ... | [] | Train |
26,733 | 16 | Title: Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
Abstract: Out-of-distribution (OOD) detection is a critical requirement for the deployment of deep neural networks. This paper introduces the HEAT model, a new post-hoc OOD detection method estimating the density of in-distribution ... | [] | Test |
26,734 | 16 | Title: Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds
Abstract: This paper presents a framework for semantic segmentation on sparse sequential point clouds of millimeter-wave radar. Compared with cameras and lidars, millimeter-wave radars have the advantage of not revealing privacy, having ... | [] | Train |
26,735 | 24 | Title: An Exploration of Conditioning Methods in Graph Neural Networks
Abstract: The flexibility and effectiveness of message passing based graph neural networks (GNNs) induced considerable advances in deep learning on graph-structured data. In such approaches, GNNs recursively update node representations based on thei... | [] | Train |
26,736 | 30 | Title: Private Meeting Summarization Without Performance Loss
Abstract: Meeting summarization has an enormous business potential, but in addition to being a hard problem, roll-out is challenged by privacy concerns. We explore the problem of meeting summarization under differential privacy constraints and find, to our s... | [
3052
] | Train |
26,737 | 30 | Title: Don't Take This Out of Context! On the Need for Contextual Models and Evaluations for Stylistic Rewriting
Abstract: Most existing stylistic text rewriting methods operate on a sentence level, but ignoring the broader context of the text can lead to generic, ambiguous, and incoherent rewrites. In this paper, we p... | [
1250,
971,
3995
] | Train |
26,738 | 39 | Title: Uniform random generations and rejection method(I) with binomial majorant
Abstract: We present three simple algorithms to uniformly generate `Fibonacci words' (i.e., some words that are enumerated by Fibonacci numbers), Schr{\"o}der trees of size $n$ and Motzkin left factors of size $n$ and final height $h$. The... | [] | Train |
26,739 | 10 | Title: Monte-Carlo Search for an Equilibrium in Dec-POMDPs
Abstract: Decentralized partially observable Markov decision processes (Dec-POMDPs) formalize the problem of designing individual controllers for a group of collaborative agents under stochastic dynamics and partial observability. Seeking a global optimum is di... | [] | Train |
26,740 | 7 | Title: Adaptive physics-informed neural networks for dynamic thermo-mechanical coupling problems in large-size-ratio functionally graded materials
Abstract: In this paper, we present the adaptive physics-informed neural networks (PINNs) for resolving three dimensional (3D) dynamic thermo-mechanical coupling problems in... | [
1697
] | Validation |
26,741 | 15 | Title: To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations
Abstract: Convolutional Neural Networks (CNNs) are widely employed to solve various problems, e.g., image classification. Due to their compute- and data-intensive nature, CNN accelerators have been developed as ASICs or on FP... | [] | Train |
26,742 | 24 | Title: Programmable Synthetic Tabular Data Generation
Abstract: Large amounts of tabular data remain underutilized due to privacy, data quality, and data sharing limitations. While training a generative model producing synthetic data resembling the original distribution addresses some of these issues, most applications... | [
2413
] | Validation |
26,743 | 16 | Title: JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition
Abstract: We propose JEDI, a multi-dataset semi-supervised learning method, which efficiently combines knowledge from multiple experts, learned on different datasets, to train and improve the ... | [] | Test |
26,744 | 24 | Title: Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
Abstract: An improved understanding of soil can enable more sustainable land-use practices. Nevertheless, soil is called a complex, living medium due to the complex interaction of different soil processes that limit our unders... | [] | Train |
26,745 | 16 | Title: Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection
Abstract: Few-shot object detection, the problem of modelling novel object detection categories with few training instances, is an emerging topic in the area of few-shot learning and object detection. Contemporary techniques can be di... | [] | Train |
26,746 | 16 | Title: Improved Neural Radiance Fields Using Pseudo-depth and Fusion
Abstract: Since the advent of Neural Radiance Fields, novel view synthesis has received tremendous attention. The existing approach for the generalization of radiance field reconstruction primarily constructs an encoding volume from nearby source imag... | [] | Test |
26,747 | 30 | Title: A Crosslingual Investigation of Conceptualization in 1335 Languages
Abstract: Languages differ in how they divide up the world into concepts and words; e.g., in contrast to English, Swahili has a single concept for ‘belly’ and ‘womb’. We investigate these differences in conceptualization across 1,335 languages b... | [
31520,
42001,
31435
] | Test |
26,748 | 30 | Title: Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting
Abstract: Cross-domain and cross-compositional generalization of Text-to-SQL semantic parsing is a challenging task. Existing Large Language Model (LLM) based solutions rely on inference-time retrieval of few-... | [
33490,
19250,
4395,
37957
] | Train |
26,749 | 31 | Title: Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
Abstract: Recent work on knowledge graph completion (KGC) focused on learning embeddings of entities and relations in knowledge graphs. These embedding methods require that all test entities are observed at training time, resul... | [] | Validation |
26,750 | 31 | Title: Multivariate Representation Learning for Information Retrieval
Abstract: Dense retrieval models use bi-encoder network architectures for learning query and document representations. These representations are often in the form of a vector representation and their similarities are often computed using the dot prod... | [] | Train |
26,751 | 10 | Title: Belief Revision from Probability
Abstract: In previous work ("Knowledge from Probability", TARK 2021) we develop a question-relative, probabilistic account of belief. On this account, what someone believes relative to a given question is (i) closed under entailment, (ii) sufficiently probable given their evidenc... | [] | Train |
26,752 | 4 | Title: SEV-Step: A Single-Stepping Framework for AMD-SEV
Abstract: The ever increasing popularity and availability of Trusted Execution Environments (TEEs) had a stark influence on microarchitectural attack research in academia, as their strong attacker model both boosts existing attack vectors and introduces several n... | [] | Test |
26,753 | 16 | Title: Polarimetric Imaging for Perception
Abstract: Autonomous driving and advanced driver-assistance systems rely on a set of sensors and algorithms to perform the appropriate actions and provide alerts as a function of the driving scene. Typically, the sensors include color cameras, radar, lidar and ultrasonic senso... | [] | Validation |
26,754 | 6 | Title: Dual-modality Smart Shoes for Quantitative Assessment of Hemiplegic Patients' Lower Limbs' Muscle Strength
Abstract: Stroke can lead to the impaired motor ability of the patient's lower limbs and hemiplegia. Accurate assessment of the lower limbs' motor ability is important for diagnosis and rehabilitation. To d... | [
8361
] | Validation |
26,755 | 15 | Title: EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS
Abstract: This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators us... | [
17636
] | Validation |
26,756 | 16 | Title: Measuring uncertainty in human visual segmentation
Abstract: Segmenting visual stimuli into distinct groups of features and visual objects is central to visual function. Classical psychophysical methods have helped uncover many rules of human perceptual segmentation, and recent progress in machine learning has p... | [] | Test |
26,757 | 24 | Title: Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors
Abstract: We present a benchmark dataset for evaluating physical human activity recognition methods from wrist-worn sensors, for the specific setting of basketball training, drills, and games. Basketball acti... | [
8361
] | Train |
26,758 | 30 | Title: DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach
Abstract: Multiple choice questions (MCQs) are an efficient and common way to assess reading comprehension (RC). Every MCQ needs a set of distractor answers that are incorrect, but plausible enough to test stu... | [] | Validation |
26,759 | 11 | Title: Multi-trip algorithm for multi-depot rural postman problem with rechargeable vehicles
Abstract: This paper studies an extension of the rural postman problem with multiple depots and rechargeable and reusable vehicles capable of multiple trips with capacity constraints. This paper presents a new Mixed Integer Lin... | [] | Train |
26,760 | 30 | Title: Improving Generalization for Multimodal Fake News Detection
Abstract: The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-the-art approaches are usually trained on datasets of smaller siz... | [] | Train |
26,761 | 16 | Title: A Fast Training-Free Compression Framework for Vision Transformers
Abstract: Token pruning has emerged as an effective solution to speed up the inference of large Transformer models. However, prior work on accelerating Vision Transformer (ViT) models requires training from scratch or fine-tuning with additional ... | [
25206
] | Test |
26,762 | 5 | Title: BBCA-LEDGER: High Throughput Consensus meets Low Latency
Abstract: This paper presents BBCA-LEDGER, a Byzantine log replication technology for partially synchronous networks enabling blocks to be broadcast in parallel, such that each broadcast is finalized independently and instantaneously into an individual slo... | [] | Train |
26,763 | 3 | Title: Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning
Abstract: Language is both a cause and a consequence of the social processes that lead to conflict or peace. Hate speech can mobilize violence and destruction. What are the characterist... | [] | Test |
26,764 | 18 | Title: Light induced spiking of proteinoids
Abstract: Proteinoids, or thermal proteins, are produced by heating amino acids to their melting point and initiating polymerisation to produce polymeric chains. In aqueous solutions proteinoids swell into hollow microspheres. These microspheres produce endogenous burst of el... | [
8829,
29573
] | Train |
26,765 | 24 | Title: Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space
Abstract: Personalized federated learning (PFL) is a popular framework that allows clients to have different models to address application scenarios where clients' data are in different domains. The typical mo... | [
37437
] | Train |
26,766 | 24 | Title: Chip-Chat: Challenges and Opportunities in Conversational Hardware Design
Abstract: Modern hardware design starts with specifications provided in natural language. These are then translated by hardware engineers into appropriate Hardware Description Languages (HDLs) such as Verilog before synthesizing circuit el... | [
43163,
40380,
44381,
24718
] | Test |
26,767 | 3 | Title: Risk Scores, Label Bias, and Everything but the Kitchen Sink
Abstract: In designing risk assessment algorithms, many scholars promote a"kitchen sink"approach, reasoning that more information yields more accurate predictions. We show, however, that this rationale often fails when algorithms are trained to predict... | [
20182
] | Validation |
26,768 | 6 | Title: Mitigating Voter Attribute Bias for Fair Opinion Aggregation
Abstract: The aggregation of multiple opinions plays a crucial role in decision-making, such as in hiring and loan review, and in labeling data for supervised learning. Although majority voting and existing opinion aggregation models are effective for ... | [] | Validation |
26,769 | 30 | Title: KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment
Abstract: Recent legislation of the “right to be forgotten” has led to the interest in machine unlearning, where the learned models are endowed with the function to forget information about specific training instances as if they have ne... | [] | Validation |
26,770 | 24 | Title: How Curvature Enhance the Adaptation Power of Framelet GCNs
Abstract: Graph neural network (GNN) has been demonstrated powerful in modeling graph-structured data. However, despite many successful cases of applying GNNs to various graph classification and prediction tasks, whether the graph geometrical informatio... | [
16466,
42306,
37174
] | Train |
26,771 | 30 | Title: Commonsense-Aware Prompting for Controllable Empathetic Dialogue Generation
Abstract: Improving the emotional awareness of pre-trained language models is an emerging important problem for dialogue generation tasks. Although prior studies have introduced methods to improve empathetic dialogue generation, few have... | [] | Train |
26,772 | 24 | Title: Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
Abstract: Autoencoders and their variants are among the most widely used models in representation learning and generative modeling. However, autoencoder-based models usually assume that the learned representations are i.i.d. and fail to capture th... | [] | Train |
26,773 | 27 | Title: TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation
Abstract: Effective use of camera-based vision systems is essential for robust performance in autonomous off-road driving, particularly in the high-speed regime. Despite success in structured, on-road settings, current end-to-end ... | [
44673,
31739
] | Test |
26,774 | 25 | Title: Efficient Monaural Speech Enhancement using Spectrum Attention Fusion
Abstract: Speech enhancement is a demanding task in automated speech processing pipelines, focusing on separating clean speech from noisy channels. Transformer based models have recently bested RNN and CNN models in speech enhancement, however... | [] | Train |
26,775 | 30 | Title: Distractor generation for multiple-choice questions with predictive prompting and large language models
Abstract: Large Language Models (LLMs) such as ChatGPT have demonstrated remarkable performance across various tasks and have garnered significant attention from both researchers and practitioners. However, in... | [
18131,
27679
] | Test |
26,776 | 34 | Title: Fast Algorithms for a New Relaxation of Optimal Transport
Abstract: We introduce a new class of objectives for optimal transport computations of datasets in high-dimensional Euclidean spaces. The new objectives are parametrized by $\rho \geq 1$, and provide a metric space $\mathcal{R}_{\rho}(\cdot, \cdot)$ for d... | [] | Train |
26,777 | 6 | Title: Draco 2: An Extensible Platform to Model Visualization Design
Abstract: Draco introduced a constraint-based framework to model visualization design in an extensible and testable form. It provides a way to abstract design guidelines from theoretical and empirical studies and applies the knowledge in automated des... | [
12434,
40518
] | Train |
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