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4
Title: ItoV: Efficiently Adapting Deep Learning-based Image Watermarking to Video Watermarking Abstract: Robust watermarking tries to conceal information within a cover image/video imperceptibly that is resistant to various distortions. Recently, deep learning-based approaches for image watermarking have made significa...
[]
Train
40,579
21
Title: Cyber Framework for Steering and Measurements Collection Over Instrument-Computing Ecosystems Abstract: We propose a framework to develop cyber solutions to support remote steering of science instruments and measurements collection over instrument-computing ecosystems. It is based on provisioning separate data a...
[]
Validation
40,580
24
Title: Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder Abstract: We introduce a novel nonlinear model, Sparse Adaptive Bottleneck Centroid-Encoder (SABCE), for determining the features that discriminate between two or more classes. The algorithm aims to extract discriminatory features in groups whil...
[]
Test
40,581
10
Title: Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series Abstract: Constraint-based and noise-based methods have been proposed to discover summary causal graphs from observational time series under strong assumptions which can be violated or impossible to verify in real applic...
[ 37494 ]
Train
40,582
4
Title: Exploration and Exploitation of Hidden PMU Events Abstract: Performance Monitoring Unit (PMU) is a common hardware module in Intel CPUs. It can be used to record various CPU behaviors therefore it is often used for performance analysis and optimization. Of the 65536 event spaces, Intel has officially published o...
[]
Train
40,583
16
Title: DETRs Beat YOLOs on Real-time Object Detection Abstract: Recently, end-to-end transformer-based detectors~(DETRs) have achieved remarkable performance. However, the issue of the high computational cost of DETRs has not been effectively addressed, limiting their practical application and preventing them from full...
[ 14274, 968, 3955, 41171, 33944, 18908, 93, 23903 ]
Train
40,584
24
Title: SynJax: Structured Probability Distributions for JAX Abstract: The development of deep learning software libraries enabled significant progress in the field by allowing users to focus on modeling, while letting the library to take care of the tedious and time-consuming task of optimizing execution for modern har...
[]
Train
40,585
6
Title: Talking Abortion (Mis)information with ChatGPT on TikTok Abstract: In this study, we tested users’ perception of accuracy and engagement with TikTok videos in which ChatGPT responded to prompts about “at-home” abortion remedies. The chatbot’s responses, though somewhat vague and confusing, nonetheless recommende...
[ 17920, 17570, 25227, 1917, 29758 ]
Validation
40,586
3
Title: Evaluating the Social Impact of Generative AI Systems in Systems and Society Abstract: Generative AI systems across modalities, ranging from text, image, audio, and video, have broad social impacts, but there exists no official standard for means of evaluating those impacts and which impacts should be evaluated....
[ 27926, 6423, 32410, 13082, 26792, 45104, 27059, 13495, 6721, 4546, 33220, 22476, 846, 20710, 33383, 497, 15601, 43641, 45563, 1917 ]
Train
40,587
30
Title: DMNER: Biomedical Entity Recognition by Detection and Matching Abstract: Biomedical named entity recognition (BNER) serves as the foundation for numerous biomedical text mining tasks. Unlike general NER, BNER require a comprehensive grasp of the domain, and incorporating external knowledge beyond training data p...
[]
Train
40,588
16
Title: SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks Abstract: For many years, it has been shown how much exploiting equivariances can be beneficial when solving image analysis tasks. For example, the superiority of convolutional neural networks (CNNs) compared to dense netw...
[]
Train
40,589
16
Title: One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration Abstract: The precision of unsupervised point cloud registration methods is typically limited by the lack of reliable inlier estimation and self-supervised signal, especially in partially overlapping scenarios. In this pa...
[]
Test
40,590
23
Title: TraceFixer: Execution Trace-Driven Program Repair Abstract: When debugging unintended program behavior, developers can often identify the point in the execution where the actual behavior diverges from the desired behavior. For example, a variable may get assigned a wrong value, which then negatively influences t...
[]
Train
40,591
16
Title: MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning Abstract: Despite the recent progress in incremental learning, addressing catastrophic forgetting under distributional drift is still an open and important problem. Indeed, while state-of-the-art domain incremental learning (DIL) met...
[ 41813 ]
Train
40,592
16
Title: Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility Abstract: This paper investigates to what degree and magnitude tradeoffs exist between utility, fairness and attribute privacy in computer vision. Regarding privacy, we look at this important problem specifically in the cont...
[]
Train
40,593
30
Title: bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark Abstract: We present bgGLUE (Bulgarian General Language Understanding Evaluation), a benchmark for evaluating language models on Natural Language Understanding (NLU) tasks in Bulgarian. Our benchmark includes NLU tasks targeting a variety of...
[ 21574 ]
Train
40,594
16
Title: POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo Abstract: Enable neural networks to capture 3D geometrical-aware features is essential in multi-view based vision tasks. Previous methods usually encode the 3D information of multi-view stereo into the 2D features. In contrast, we present a novel me...
[]
Validation
40,595
30
Title: GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization Abstract: Automatic summarization with pre-trained language models has led to impressively fluent results, but is prone to 'hallucinations', low performance on non-news genres, and outputs which are not exactly summaries. Targeting ACL...
[]
Train
40,596
34
Title: Approximate Counting for Spin Systems in Sub-Quadratic Time Abstract: We present two approximate counting algorithms with $\widetilde{O}(n^{2-c}/\varepsilon^2)$ running time for some constant $c>0$ and accuracy $\varepsilon$: (1) for the hard-core model when strong spatial mixing (SSM) is sufficiently fast; (2) ...
[ 14362 ]
Train
40,597
30
Title: NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models Abstract: Prompt-based learning is vulnerable to backdoor attacks. Existing backdoor attacks against prompt-based models consider injecting backdoors into the entire embedding layers or word embedding vectors. Such attacks can be easily affec...
[ 31137, 31944, 46066, 30643, 34076, 28441, 21180 ]
Train
40,598
3
Title: Economic Policy Uncertainty: A Review on Applications and Measurement Methods with Focus on Text Mining Methods Abstract: Economic Policy Uncertainty (EPU) represents the uncertainty realized by the investors during economic policy alterations. EPU is a critical indicator in economic studies to predict future in...
[]
Validation
40,599
16
Title: InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Abstract: Multi-task scene understanding aims to design models that can simultaneously predict several scene understanding tasks with one versatile model. Previous studies typically process multi-task features in a more local way, an...
[ 16210, 9590 ]
Train
40,600
30
Title: Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora Abstract: In this paper, we unveil a groundbreaking method to amplify full-text search lemmatization, utilizing the OpenCorpora dataset and a bespoke paradigm retrieval algorithm. Our primary aim is to streamline the ext...
[]
Train
40,601
7
Title: Computational modeling of in-stent restenosis: Pharmacokinetic and pharmacodynamic evaluation Abstract: Persistence of the pathology of in-stent restenosis even with the advent of drug-eluting stents warrants the development of highly resolved in silico models. These computational models assist in gaining insigh...
[]
Train
40,602
10
Title: Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning Abstract: There is a growing interest in applying pre-trained large language models (LLMs) to planning problems. However, methods that use LLMs directly as planners are currently impractical due to se...
[ 8138, 39114, 33455, 402, 10165, 22518, 13564, 29118 ]
Validation
40,603
16
Title: Human-centric Scene Understanding for 3D Large-scale Scenarios Abstract: Human-centric scene understanding is significant for real-world applications, but it is extremely challenging due to the existence of diverse human poses and actions, complex human-environment interactions, severe occlusions in crowds, etc....
[ 32662 ]
Test
40,604
28
Title: Randomly Punctured Reed-Solomon Codes Achieve the List Decoding Capacity over Polynomial-Size Alphabets Abstract: This paper shows that, with high probability, randomly punctured Reed-Solomon codes over fields of polynomial size achieve the list decoding capacity. More specifically, we prove that for any $\epsil...
[ 30409, 15998, 2479 ]
Train
40,605
37
Title: LLM As DBA Abstract: Database administrators (DBAs) play a crucial role in managing, maintaining and optimizing a database system to ensure data availability, performance, and reliability. However, it is hard and tedious for DBAs to manage a large number of database instances (e.g., millions of instances on the ...
[ 27138, 770, 33477, 16837, 9499 ]
Test
40,606
16
Title: Towards Consistent Video Editing with Text-to-Image Diffusion Models Abstract: Existing works have advanced Text-to-Image (TTI) diffusion models for video editing in a one-shot learning manner. Despite their low requirements of data and computation, these methods might produce results of unsatisfied consistency ...
[ 10624, 11841, 20960, 42272, 11655, 16103, 12841, 32467, 8308, 23669, 17526 ]
Validation
40,607
24
Title: Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study Abstract: Deep learning (DL) models have seen increased attention for time series forecasting, yet the application on cyber-physical systems (CPS) is hindered by the lacking robustness of these method...
[]
Validation
40,608
4
Title: Capacity: Cryptographically-Enforced In-Process Capabilities for Modern ARM Architectures (Extended Version) Abstract: In-process compartmentalization and access control have been actively explored to provide in-place and efficient isolation of in-process security domains. Many works have proposed compartmentali...
[ 34686 ]
Validation
40,609
27
Title: Waterberry Farms: A Novel Benchmark For Informative Path Planning Abstract: Recent developments in robotic and sensor hardware make data collection with mobile robots (ground or aerial) feasible and affordable to a wide population of users. The newly emergent applications, such as precision agriculture, weather ...
[]
Train
40,610
30
Title: Tree of Thoughts: Deliberate Problem Solving with Large Language Models Abstract: Language models are increasingly being deployed for general problem solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall sho...
[ 34820, 6155, 33815, 33817, 45594, 42523, 8225, 37411, 19492, 15400, 44584, 39469, 22578, 26162, 29753, 5700, 7239, 31817, 40010, 46155, 16464, 24158, 1639, 37994, 31851, 31355, 12411, 38391, 5254, 25734, 28807, 23177, 25737, 14991, 16527, 6805, ...
Train
40,611
27
Title: Simultaneous localization and mapping by using Low-Cost Ultrasonic Sensor for Underwater crawler Abstract: Autonomous robots can help people explore parts of the ocean that would be hard or impossible to get to otherwise. The increase in the availability of low-cost components has made it possible to innovate, d...
[]
Train
40,612
24
Title: xxMD: Benchmarking Neural Force Fields Using Extended Dynamics beyond Equilibrium Abstract: Neural force fields (NFFs) have gained prominence in computational chemistry as surrogate models, superseding quantum-chemistry calculations in ab initio molecular dynamics. The prevalent benchmark for NFFs has been the M...
[]
Train
40,613
16
Title: Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss Abstract: Active learning (AL) reduces the amount of labeled data needed to train a machine learning model by intelligently choosing which instances to label. Classic pool-based AL requires all data to be pr...
[]
Validation
40,614
16
Title: Person Recognition using Facial Micro-Expressions with Deep Learning Abstract: This study investigates the efficacy of facial micro-expressions as a soft biometric for enhancing person recognition, aiming to broaden the understanding of the subject and its potential applications. We propose a deep learning appro...
[]
Train
40,615
24
Title: What Do GNNs Actually Learn? Towards Understanding their Representations Abstract: In recent years, graph neural networks (GNNs) have achieved great success in the field of graph representation learning. Although prior work has shed light into the expressiveness of those models (\ie whether they can distinguish ...
[]
Train
40,616
24
Title: A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data Abstract: Emerging distributed applications recently boosted the development of decentralized machine learning, especially in IoT and edge computing fields. In real-world scenarios, the common problems of non-conv...
[]
Validation
40,617
30
Title: Voices of Her: Analyzing Gender Differences in the AI Publication World Abstract: While several previous studies have analyzed gender bias in research, we are still missing a comprehensive analysis of gender differences in the AI community, covering diverse topics and different development trends. Using the AI S...
[]
Train
40,618
24
Title: Generalization Limits of Graph Neural Networks in Identity Effects Learning Abstract: Graph Neural Networks (GNNs) have emerged as a powerful tool for data-driven learning on various graph domains. They are usually based on a message-passing mechanism and have gained increasing popularity for their intuitive for...
[ 7729, 35910 ]
Train
40,619
16
Title: OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision Abstract: Hand Pose Estimation (HPE) is crucial to many applications, but conventional cameras-based CM-HPE methods are completely subject to Line-of-Sight (LoS), as cameras cannot capture occluded objects. In this paper, we propose to exploit R...
[]
Train
40,620
24
Title: Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning Abstract: Exploration in sparse-reward reinforcement learning is difficult due to the requirement of long, coordinated sequences of actions in order to achieve any reward. Moreover, in continuous action spaces there are an infinite number ...
[ 1694 ]
Test
40,621
28
Title: Robust Secure Transmission for Active RIS Enabled Symbiotic Radio Multicast Communications Abstract: In this paper, we propose a robust secure transmission scheme for an active reconfigurable intelligent surface (RIS) enabled symbiotic radio (SR) system in the presence of multiple eavesdroppers (Eves). In the co...
[]
Test
40,622
16
Title: Semantic Attention Flow Fields for Dynamic Scene Decomposition Abstract: We present SAFF: a dynamic neural volume reconstruction of a casual monocular video that consists of time-varying color, density, scene flow, semantics, and attention information. The semantics and attention let us identify salient foregrou...
[ 15035 ]
Validation
40,623
36
Title: Optimal EV Charging Decisions Considering Charging Rate Characteristics and Congestion Effects Abstract: With the rapid growth in the demand for plug-in electric vehicles (EVs), the corresponding charging infrastructures are expanding. These charging stations are located at various places and with different cong...
[]
Train
40,624
16
Title: Rethinking Data Distillation: Do Not Overlook Calibration Abstract: Neural networks trained on distilled data often produce over-confident output and require correction by calibration methods. Existing calibration methods such as temperature scaling and mixup work well for networks trained on original large-scal...
[ 7747, 42476, 13855 ]
Train
40,625
24
Title: Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression Abstract: Misfolded tau proteins play a critical role in the progression and pathology of Alzheimer's disease. Recent studies suggest that the spatio-temporal pattern of misfolded tau follows a reaction-dif...
[ 29379, 35471 ]
Validation
40,626
16
Title: Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning Abstract: Recent studies of two-view correspondence learning usually establish an end-to-end network to jointly predict correspondence reliability and relative pose. We improve such a framework from two aspects. Fi...
[]
Validation
40,627
6
Title: Human-centered trust framework: An HCI perspective Abstract: The rationale of this work is based on the current user trust discourse of Artificial Intelligence (AI). We aim to produce novel HCI approaches that use trust as a facilitator for the uptake (or appropriation) of current technologies. We propose a fram...
[ 27113 ]
Train
40,628
16
Title: A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes Abstract: Multi-view imaging systems enable uniform coverage of 3D space and reduce the impact of occlusion, which is beneficial for 3D object detection and tracking accuracy. However, existing imaging systems built with multi-view cameras or de...
[ 19193 ]
Train
40,629
24
Title: Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms Abstract: The numerous deployed Artificial Intelligence systems need to be aligned with our ethical considerations. However, such ethical considerations might change as time passes: our society is not fixed...
[]
Train
40,630
24
Title: AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving Abstract: Model parallelism is conventionally viewed as a method to scale a single large deep learning model beyond the memory limits of a single device. In this paper, we demonstrate that model parallelism can be additionally u...
[ 24801, 45862, 5191 ]
Train
40,631
8
Title: Memory Enabled Bumblebee-Based Dynamic Spectrum Access for Platooning Environments Abstract: In this paper, we propose a novel memory-enabled non-uniform sampling-based bumblebee foraging algorithm (MEB) designed for optimal channel selection in a distributed Vehicular Dynamic Spectrum Access (VDSA) framework em...
[]
Train
40,632
16
Title: A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis Abstract: While recent developments in text-to-image generative models have led to a suite of high-performing methods capable of producing creative imagery from free-form text, there are several limitations. By analyzing the cross-...
[ 41146, 34074, 43867 ]
Validation
40,633
26
Title: Extended Graph Assessment Metrics for Graph Neural Networks Abstract: When re-structuring patient cohorts into so-called population graphs, initially independent data points can be incorporated into one interconnected graph structure. This population graph can then be used for medical downstream tasks using grap...
[ 27449 ]
Train
40,634
4
Title: Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption Abstract: As machine learning as a service continues gaining popularity, concerns about privacy and intellectual property arise. Users often hesitate to disclose their private information to obtain a service, while s...
[]
Validation
40,635
30
Title: HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition Abstract: State-of-the-art ASR systems have achieved promising results by modeling local and global interactions separately. While the former can be computed efficiently, global interactions are usually modeled via attention mechanisms, which...
[]
Train
40,636
34
Title: A greedy approach for increased vehicle utilization in ridesharing networks Abstract: In recent years, ridesharing platforms have become a prominent mode of transportation for the residents of urban areas. As a fundamental problem, route recommendation for these platforms is vital for their sustenance. The works...
[ 25174 ]
Train
40,637
32
Title: Implementation of hyperbolic complex numbers in Julia language Abstract: Hyperbolic complex numbers are used in the description of hyperbolic spaces. One of the well-known examples of such spaces is the Minkowski space, which plays a leading role in the problems of the special theory of relativity and electrodyn...
[]
Train
40,638
28
Title: HerA Scheme: Secure Distributed Matrix Multiplication via Hermitian Codes Abstract: We consider the problem of secure distributed matrix multiplication (SDMM), where a user has two matrices and wishes to compute their product with the help of N honest but curious servers under the security constraint that any in...
[ 43194, 18061 ]
Train
40,639
27
Title: Byzantine Resilience at Swarm Scale: A Decentralized Blocklist Protocol from Inter-robot Accusations Abstract: The Weighted-Mean Subsequence Reduced (W-MSR) algorithm, the state-of-the-art method for Byzantine-resilient design of decentralized multi-robot systems, is based on discarding outliers received over Li...
[]
Train
40,640
36
Title: Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions Abstract: This paper presents a novel mechanism design for multi-item auction settings with uncertain bidders' type distributions. Our proposed approach utilizes nonparametric density estimation to...
[]
Test
40,641
24
Title: Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning Abstract: Meta-learning has arisen as a successful method for improving training performance by training over many similar tasks, especially with deep neural networks (DNNs). However, the theoretical understanding of when ...
[ 23742 ]
Train
40,642
30
Title: Speed Reading Tool Powered by Artificial Intelligence for Students with ADHD, Dyslexia, or Short Attention Span Abstract: This paper presents a novel approach to assist students with dyslexia, ADHD, and short attention span in digesting any text-based information more efficiently. The proposed solution utilizes ...
[]
Test
40,643
24
Title: Maximizing Model Generalization for Manufacturing with Self-Supervised Learning and Federated Learning Abstract: Deep Learning (DL) can diagnose faults and assess machine health from raw condition monitoring data without manually designed statistical features. However, practical manufacturing applications remain...
[ 35041 ]
Train
40,644
30
Title: Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts Abstract: Scholars in the humanities rely heavily on ancient manuscripts to study history, religion, and socio-political structures in the past. Many efforts have been devoted to digitizing these precious manuscripts u...
[]
Train
40,645
24
Title: Large-scale Dynamic Network Representation via Tensor Ring Decomposition Abstract: Large-scale Dynamic Networks (LDNs) are becoming increasingly important in the Internet age, yet the dynamic nature of these networks captures the evolution of the network structure and how edge weights change over time, posing un...
[]
Train
40,646
24
Title: Transferable Models for Bioacoustics with Human Language Supervision Abstract: Passive acoustic monitoring offers a scalable, non-invasive method for tracking global biodiversity and anthropogenic impacts on species. Although deep learning has become a vital tool for processing this data, current models are infl...
[]
Validation
40,647
16
Title: Hierarchical Integration Diffusion Model for Realistic Image Deblurring Abstract: Diffusion models (DMs) have recently been introduced in image deblurring and exhibited promising performance, particularly in terms of details reconstruction. However, the diffusion model requires a large number of inference iterat...
[ 28875, 500 ]
Train
40,648
18
Title: General Spatial Photonic Ising Machine Based on Interaction Matrix Eigendecomposition Method Abstract: The spatial photonic Ising machine has achieved remarkable advancements in solving combinatorial optimization problems. However, it still remains a huge challenge to flexibly mapping an arbitrary problem to Isi...
[ 3197 ]
Train
40,649
28
Title: ProductAE: Toward Deep Learning Driven Error-Correction Codes of Large Dimensions Abstract: While decades of theoretical research have led to the invention of several classes of error-correction codes, the design of such codes is an extremely challenging task, mostly driven by human ingenuity. Recent studies dem...
[ 32154, 29119 ]
Train
40,650
6
Title: Scaffolding Progress: How Structured Editors Shape Novice Errors When Transitioning from Blocks to Text Abstract: Transitioning from block-based programming environments to text-based programming environments can be challenging as it requires students to learn new programming language concepts. In this paper, we...
[ 39547 ]
Train
40,651
30
Title: AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach Abstract: Argument mining involves multiple sub-tasks that automatically identify argumentative elements, such as claim detection, evidence extraction, stance classification, etc. However, each subtask alone is insufficient for ...
[]
Test
40,652
24
Title: Towards trustworthy seizure onset detection using workflow notes Abstract: A major barrier to deploying healthcare AI models is their trustworthiness. One form of trustworthiness is a model's robustness across different subgroups: while existing models may exhibit expert-level performance on aggregate metrics, t...
[ 19704 ]
Train
40,653
24
Title: SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning Abstract: In contrastive learning, the choice of ``view'' controls the information that the representation captures and influences the performance of the model. However, leading graph contrastive learning methods generally produce views v...
[ 13368 ]
Validation
40,654
4
Title: Towards Data Redaction in Bitcoin Abstract: A major issue for many applications of blockchain technology is the tension between immutability and compliance to regulations. For instance, the GDPR in the EU requires to guarantee, under some circumstances, the right to be forgotten. This could imply that at some po...
[]
Train
40,655
16
Title: Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network Abstract: Recently, the open-vocabulary semantic segmentation problem has attracted increasing attention and the best performing methods are based on two-stream networks: one stream for proposal mask generation and the other for segment classi...
[ 31346, 37254, 3782 ]
Train
40,656
16
Title: Neural inverse procedural modeling of knitting yarns from images Abstract: We investigate the capabilities of neural inverse procedural modeling to infer high-quality procedural yarn models with fiber-level details from single images of depicted yarn samples. While directly inferring all parameters of the underl...
[]
Test
40,657
10
Title: Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior Abstract: Despite their prevalence in eHealth applications for behavior change, persuasive messages tend to have small effects on behavior. Conditions or states (e.g., confidence, knowledge,...
[]
Validation
40,658
24
Title: Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment Abstract: nan
[ 20170, 44435, 13492, 37102 ]
Train
40,659
24
Title: Improving Autoencoder-based Outlier Detection with Adjustable Probabilistic Reconstruction Error and Mean-shift Outlier Scoring Abstract: Autoencoders were widely used in many machine learning tasks thanks to their strong learning ability which has drawn great interest among researchers in the field of outlier d...
[]
Test
40,660
31
Title: A Survey on Federated Recommendation Systems Abstract: Federated learning has recently been applied to recommendation systems to protect user privacy. In federated learning settings, recommendation systems can train recommendation models only collecting the intermediate parameters instead of the real user data, ...
[ 4848, 24061, 14925 ]
Train
40,661
30
Title: RISC: Generating Realistic Synthetic Bilingual Insurance Contract Abstract: This paper presents RISC, an open-source Python package data generator (https://github.com/GRAAL-Research/risc). RISC generates look-alike automobile insurance contracts based on the Quebec regulatory insurance form in French and English...
[ 25953, 6829 ]
Test
40,662
16
Title: LipsFormer: Introducing Lipschitz Continuity to Vision Transformers Abstract: We present a Lipschitz continuous Transformer, called LipsFormer, to pursue training stability both theoretically and empirically for Transformer-based models. In contrast to previous practical tricks that address training instability ...
[ 2676, 5878 ]
Test
40,663
24
Title: Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning Abstract: Distributed data analytic engines like Spark are common choices to process massive data in industry. However, the performance of Spark SQL highly depends on the choice of configurations, where the optimal ones vary with the exe...
[ 45200, 4426, 38788, 3734 ]
Test
40,664
25
Title: COVID-19 Detection System: A Comparative Analysis of System Performance Based on Acoustic Features of Cough Audio Signals Abstract: A wide range of respiratory diseases, such as cold and flu, asthma, and COVID-19, affect people's daily lives worldwide. In medical practice, respiratory sounds are widely used in m...
[]
Test
40,665
2
Title: A Mathematical Benchmark for Inductive Theorem Provers Abstract: We present a benchmark of 29687 problems derived from the On-Line Encyclopedia of Integer Sequences (OEIS). Each problem expresses the equivalence of two syntactically different programs generating the same OEIS sequence. Such programs were conject...
[ 4560 ]
Test
40,666
16
Title: BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models Abstract: With the increasing popularity and the increasing size of vision transformers (ViTs), there has been an increasing interest in making them more efficient and less computationally costly for deployment on edge devices with limite...
[]
Validation
40,667
30
Title: Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion Abstract: The recent surge in popularity of diffusion models for image generation has brought new attention to the potential of these models in other areas of media synthesis. One area that has yet to be fully explored is the application of diff...
[ 6114, 13186, 11877, 1609, 3882, 39340, 11566, 23534, 44366, 10003, 28532, 35800, 6455, 4088, 44726, 926, 12575 ]
Train
40,668
31
Title: Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning Abstract: Personalized recommendations have a growing importance in direct marketing, which motivates research to enhance customer experiences by knowledge graph (KG) applications. For example, in financial s...
[]
Validation
40,669
16
Title: Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts Abstract: Medical vision-and-language pre-training (Med-VLP) has shown promising improvements on many downstream medical tasks owing to its applicability to extracting generic representations from medical images and texts. Practically, th...
[ 42425, 16178 ]
Validation
40,670
16
Title: Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning Abstract: Semi-supervised learning is attracting blooming attention, due to its success in combining unlabeled data. To mitigate potentially incorrect pseudo labels, recent frameworks mostly set a fixed confidence threshold to discard uncer...
[]
Train
40,671
16
Title: Video Probabilistic Diffusion Models in Projected Latent Space Abstract: Despite the remarkable progress in deep generative models, synthesizing high-resolution and temporally coherent videos still remains a challenge due to their high-dimensionality and complex temporal dynamics along with large spatial variati...
[ 13505, 20577, 28482, 29187, 36286, 45318, 39340, 7597, 19378, 23669, 35958, 34392, 34522, 41818, 7550, 18175 ]
Train
40,672
4
Title: Security Analysis of WG-7 Lightweight Stream Cipher against Cube Attack Abstract: Welch--Gong (WG) is a hardware-oriented LFSR-based stream cipher. WG-7 is a version of the eStream submission Welch--Gong, used for RFID encryption and authentication purposes. It offers 80-bit cryptographic security. In modern day...
[]
Train
40,673
2
Title: ANITA: Analytic Tableau Proof Assistant Abstract: This work presents the system ANITA (Analytic Tableau Proof Assistant) developed for teaching analytic tableaux to computer science students. The tool is written in Python and can be used as a desktop application, or in a web platform. This paper describes the lo...
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Title: FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels Abstract: LiDAR-based fully sparse architecture has garnered increasing attention. FSDv1 stands out as a representative work, achieving impressive efficacy and efficiency, albeit with intricate structures and handcrafted designs. In this pape...
[ 12581, 45287, 36523, 18283, 4980, 34804, 45087 ]
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Title: Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach Abstract: Job scheduling is a well-known Combinatorial Optimization problem with endless applications. Well planned schedules bring many benefits in the context of automated systems: among others, they limit production costs and...
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Title: The Noir Dataflow Platform: Efficient Data Processing without Complexity Abstract: Today, data analysis drives the decision-making process in virtually every human activity. This demands for software platforms that offer simple programming abstractions to express data analysis tasks and that can execute them in ...
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Title: Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech Abstract: Speech is promising as an objective, convenient tool to monitor health remotely over time using mobile devices. Numerous paralinguistic features have been demo...
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