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272690345 | 2409.09213 | 2024-09-13 | ReCLAP: Improving Zero Shot Audio Classification by Describing Sounds | Open-vocabulary audio-language models, like CLAP, offer a promising approach for zero-shot audio classification (ZSAC) by enabling classification with any arbitrary set of categories specified with natural language prompts. In this paper, we propose a simple but effective method to improve ZSAC with CLAP. Specifically,... | [
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272653718 | 2409.08469 | 2024-09-13 | Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent | We provide finite-particle convergence rates for the Stein Variational Gradient Descent (SVGD) algorithm in the Kernelized Stein Discrepancy ($\mathsf{KSD}$) and Wasserstein-2 metrics. Our key insight is that the time derivative of the relative entropy between the joint density of $N$ particle locations and the $N$-fol... | [
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272653922 | 2409.08724 | 2024-09-13 | Quasimetric Value Functions with Dense Rewards | As a generalization of reinforcement learning (RL) to parametrizable goals, goal conditioned RL (GCRL) has a broad range of applications, particularly in challenging tasks in robotics. Recent work has established that the optimal value function of GCRL $Q^\ast(s,a,g)$ has a quasimetric structure, leading to targetted n... | [
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272654213 | 2409.08503 | 2024-09-13 | Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning | With the emerging trend of large generative models, ControlNet is introduced to enable users to fine-tune pre-trained models with their own data for various use cases. A natural question arises: how can we train ControlNet models while ensuring users' data privacy across distributed devices? Exploring different distrib... | [
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272654232 | 2409.08700 | 2024-09-13 | Personalized Weight Loss Management through Wearable Devices and Artificial Intelligence | Early detection of chronic and Non-Communicable Diseases (NCDs) is crucial for effective treatment during the initial stages. This study explores the application of wearable devices and Artificial Intelligence (AI) in order to predict weight loss changes in overweight and obese individuals. Using wearable data from a 1... | [
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272654146 | 2409.08840 | 2024-09-13 | Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention | Collaborative perception (CP) leverages visual data from connected and autonomous vehicles (CAV) to enhance an ego vehicle's field of view (FoV). Despite recent progress, current CP methods expand the ego vehicle's 360-degree perceptual range almost equally, which faces two key challenges. Firstly, in areas with uneven... | [
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272654055 | 2409.08589 | 2024-09-13 | Domain-Invariant Representation Learning of Bird Sounds | Passive acoustic monitoring (PAM) is crucial for bioacoustic research, enabling non-invasive species tracking and biodiversity monitoring. Citizen science platforms provide large annotated datasets from focal recordings, where the target species is intentionally recorded. However, PAM requires monitoring in passive sou... | [
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272653648 | 2409.08459 | 2024-09-13 | Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design | As urban populations grow, the need for accessible urban design has become urgent. Traditional survey methods for assessing public perceptions of accessibility are often limited in scope. Crowdsourcing via online reviews offers a valuable alternative to understanding public perceptions, and advancements in large langua... | [
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272653900 | 2409.08660 | 2024-09-13 | Online Learning Of Expanding Graphs | This paper addresses the problem of online network topology inference for expanding graphs from a stream of spatiotemporal signals. Online algorithms for dynamic graph learning are crucial in delay-sensitive applications or when changes in topology occur rapidly. While existing works focus on inferring the connectivity... | [
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272654158 | 2409.08628 | 2024-09-13 | Rhythmic Foley: A Framework For Seamless Audio-Visual Alignment In Video-to-Audio Synthesis | Our research introduces an innovative framework for video-to-audio synthesis, which solves the problems of audio-video desynchronization and semantic loss in the audio. By incorporating a semantic alignment adapter and a temporal synchronization adapter, our method significantly improves semantic integrity and the prec... | [
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272653958 | 2409.08513 | 2024-09-13 | Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection | Open-vocabulary detection (OVD) aims to detect objects beyond a predefined set of categories. As a pioneering model incorporating the YOLO series into OVD, YOLO-World is well-suited for scenarios prioritizing speed and efficiency. However, its performance is hindered by its neck feature fusion mechanism, which causes t... | [
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272689253 | 2409.09214 | 2024-09-13 | Seed-Music: A Unified Framework for High Quality and Controlled Music Generation | We introduce Seed-Music, a suite of music generation systems capable of producing high-quality music with fine-grained style control. Our unified framework leverages both auto-regressive language modeling and diffusion approaches to support two key music creation workflows: controlled music generation and post-producti... | [
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272654026 | 2409.08953 | 2024-09-13 | Pushing the boundaries of event subsampling in event-based video classification using CNNs | Event cameras offer low-power visual sensing capabilities ideal for edge-device applications. However, their high event rate, driven by high temporal details, can be restrictive in terms of bandwidth and computational resources. In edge AI applications, determining the minimum amount of events for specific tasks can al... | [
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272654103 | 2409.08557 | 2024-09-13 | DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization | While deep neural networks have made remarkable progress in various vision tasks, their performance typically deteriorates when tested in out-of-distribution (OOD) scenarios. Many OOD methods focus on extracting domain-invariant features but neglect whether these features are unique to each class. Even if some features... | [
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272653875 | 2409.08598 | 2024-09-13 | Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation | Existing facial expression recognition (FER) methods typically fine-tune a pre-trained visual encoder using discrete labels. However, this form of supervision limits to specify the emotional concept of different facial expressions. In this paper, we observe that the rich knowledge in text embeddings, generated by visio... | [
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272653632 | 2409.08813 | 2024-09-13 | Your Weak LLM is Secretly a Strong Teacher for Alignment | The burgeoning capabilities of large language models (LLMs) have underscored the need for alignment to ensure these models act in accordance with human values and intentions. Existing alignment frameworks present constraints either in the form of expensive human effort or high computational costs. This paper explores a... | [
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272653731 | 2409.08463 | 2024-09-13 | Evaluating the Quality of Brain MRI Generators | Deep learning models generating structural brain MRIs have the potential to significantly accelerate discovery of neuroscience studies. However, their use has been limited in part by the way their quality is evaluated. Most evaluations of generative models focus on metrics originally designed for natural images (such a... | [
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272689102 | 2409.09192 | 2024-09-13 | Automated design of nonreciprocal thermal emitters via Bayesian optimization | Nonreciprocal thermal emitters that break Kirchhoff's law of thermal radiation promise exciting applications for thermal and energy applications. The design of the bandwidth and angular range of the nonreciprocal effect, which directly affects the performance of nonreciprocal emitters, typically relies on physical intu... | [
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272653638 | 2409.08538 | 2024-09-13 | An Efficient Privacy-aware Split Learning Framework for Satellite Communications | In the rapidly evolving domain of satellite communications, integrating advanced machine learning techniques, particularly split learning, is crucial for enhancing data processing and model training efficiency across satellites, space stations, and ground stations. Traditional ML approaches often face significant chall... | [
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272654076 | 2409.08450 | 2024-09-13 | Inter Observer Variability Assessment through Ordered Weighted Belief Divergence Measure in MAGDM Application to the Ensemble Classifier Feature Fusion | A large number of multi-attribute group decisionmaking (MAGDM) have been widely introduced to obtain consensus results. However, most of the methodologies ignore the conflict among the experts opinions and only consider equal or variable priorities of them. Therefore, this study aims to propose an Evidential MAGDM meth... | [
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272653976 | 2409.08563 | 2024-09-13 | Second-order difference subspace | Subspace representation is a fundamental technique in various fields of machine learning. Analyzing a geometrical relationship among multiple subspaces is essential for understanding subspace series' temporal and/or spatial dynamics. This paper proposes the second-order difference subspace, a higher-order extension of ... | [
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272689956 | 2409.09220 | 2024-09-13 | Market Implications of Alternative Operating Reserve Modeling in Wholesale Electricity Markets | Pricing and settlement mechanisms are crucial for efficient re-source allocation, investment incentives, market competition, and regulatory oversight. In the United States, Regional Transmission Operators (RTOs) adopts a uniform pricing scheme that hinges on the marginal costs of supplying additional electricity. This ... | [
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272653559 | 2409.08500 | 2024-09-13 | Cross-conditioned Diffusion Model for Medical Image to Image Translation | Multi-modal magnetic resonance imaging (MRI) provides rich, complementary information for analyzing diseases. However, the practical challenges of acquiring multiple MRI modalities, such as cost, scan time, and safety considerations, often result in incomplete datasets. This affects both the quality of diagnosis and th... | [
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272653860 | 2409.08782 | 2024-09-13 | Improving Contactless Fingerprint Recognition with Robust 3D Feature Extraction and Graph Embedding | Contactless fingerprint has gained lots of attention in recent fingerprint studies. However, most existing contactless fingerprint algorithms treat contactless fingerprints as 2D plain fingerprints, and still utilize traditional contact-based 2D fingerprints recognition methods. This recognition approach lacks consider... | [
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272653671 | 2409.08936 | 2024-09-13 | SimSUM: Simulated Benchmark with Structured and Unstructured Medical Records | Clinical information extraction, which involves structuring clinical concepts from unstructured medical text, remains a challenging problem that could benefit from the inclusion of tabular background information available in electronic health records. Existing open-source datasets lack explicit links between structured... | [
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272653870 | 2409.08466 | 2024-09-13 | Explaining Datasets in Words: Statistical Models with Natural Language Parameters | To make sense of massive data, we often fit simplified models and then interpret the parameters; for example, we cluster the text embeddings and then interpret the mean parameters of each cluster. However, these parameters are often high-dimensional and hard to interpret. To make model parameters directly interpretable... | [
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272690399 | 2409.09107 | 2024-09-13 | Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags | This study investigates scheduling strategies for the stochastic resource-constrained project scheduling problem with maximal time lags (SRCPSP/max)). Recent advances in Constraint Programming (CP) and Temporal Networks have reinvoked interest in evaluating the advantages and drawbacks of various proactive and reactive... | [
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272689167 | 2409.09188 | 2024-09-13 | FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT Images | The key manifestation of coronary artery disease (CAD) is development of fibroatheromatous plaque, the cap of which may rupture and subsequently lead to coronary artery blocking and heart attack. As such, quantitative analysis of coronary plaque, its plaque cap, and consequently the cap's likelihood to rupture are of c... | [
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272654122 | 2409.09030 | 2024-09-13 | Agents in Software Engineering: Survey, Landscape, and Vision | In recent years, Large Language Models (LLMs) have achieved remarkable success and have been widely used in various downstream tasks, especially in the tasks of the software engineering (SE) field. We find that many studies combining LLMs with SE have employed the concept of agents either explicitly or implicitly. Howe... | [
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272653918 | 2409.08850 | 2024-09-13 | DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s) | Computational tomography (CT) provides high-resolution medical imaging, but it can expose patients to high radiation. X-ray scanners have low radiation exposure, but their resolutions are low. This paper proposes a new conditional diffusion model, DX2CT, that reconstructs three-dimensional (3D) CT volumes from bi or mo... | [
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272689717 | 2409.09342 | 2024-09-14 | Persistent pseudopod splitting is an effective chemotaxis strategy in shallow gradients | Single-cell organisms and various cell types use a range of motility modes when following a chemical gradient, but it is unclear which mode is best suited for different gradients. Here, we model directional decision-making in chemotactic amoeboid cells as a stimulus-dependent actin recruitment contest. Pseudopods exten... | [
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282610826 | 2409.09348 | 2024-09-14 | QTG-VQA: Question-Type-Guided Architectural for VideoQA Systems | In the domain of video question answering (VideoQA), the impact of question types on VQA systems, despite its critical importance, has been relatively under-explored to date. However, the richness of question types directly determines the range of concepts a model needs to learn, thereby affecting the upper limit of it... | [
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272690140 | 2409.09337 | 2024-09-14 | Wave-U-Mamba: An End-To-End Framework For High-Quality And Efficient Speech Super Resolution | Speech Super-Resolution (SSR) is a task of enhancing low-resolution speech signals by restoring missing high-frequency components. Conventional approaches typically reconstruct log-mel features, followed by a vocoder that generates high-resolution speech in the waveform domain. However, as mel features lack phase infor... | [
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272832445 | 2409.15355 | 2024-09-14 | Block-Attention for Efficient Prefilling | We introduce Block-attention, an attention mechanism designed to address the increased inference latency and cost in Retrieval-Augmented Generation (RAG) scenarios. Traditional approaches often encode the entire context in an auto-regressive manner. Instead, Block-attention divides retrieved documents into discrete blo... | [
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272689711 | 2409.09244 | 2024-09-14 | Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery | In the past three years, there has been significant interest in hyperspectral imagery (HSI) classification using vision Transformers for analysis of remotely sensed data. Previous research predominantly focused on the empirical integration of convolutional neural networks (CNNs) to augment the network's capability to e... | [
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272690332 | 2409.09479 | 2024-09-14 | MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry | We propose the MAC-VO, a novel learning-based stereo VO that leverages the learned metrics-aware matching uncertainty for dual purposes: selecting keypoint and weighing the residual in pose graph optimization. Compared to traditional geometric methods prioritizing texture-affluent features like edges, our keypoint sele... | [
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272689626 | 2409.09432 | 2024-09-14 | Detecting Looted Archaeological Sites from Satellite Image Time Series | Archaeological sites are the physical remains of past human activity and one of the main sources of information about past societies and cultures. However, they are also the target of malevolent human actions, especially in countries having experienced inner turmoil and conflicts. Because monitoring these sites from sp... | [
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272693937 | 2409.10568 | 2024-09-14 | On the limits of agency in agent-based models | Agent-based modeling (ABM) offers powerful insights into complex systems, but its practical utility has been limited by computational constraints and simplistic agent behaviors, especially when simulating large populations. Recent advancements in large language models (LLMs) could enhance ABMs with adaptive agents, but... | [
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272690117 | 2409.09455 | 2024-09-14 | Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision | The study of social interactions and collective behaviors through multi-agent video analysis is crucial in biology. While self-supervised keypoint discovery has emerged as a promising solution to reduce the need for manual keypoint annotations, existing methods often struggle with videos containing multiple interacting... | [
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272689407 | 2409.09495 | 2024-09-14 | Protecting Vehicle Location Privacy with Contextually-Driven Synthetic Location Generation | Geo-obfuscation is a Location Privacy Protection Mechanism used in location-based services that allows users to report obfuscated locations instead of exact ones. A formal privacy criterion, geoindistinguishability (Geo-Ind), requires real locations to be hard to distinguish from nearby locations (by attackers) based o... | [
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272689355 | 2409.09313 | 2024-09-14 | Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor | The block tensor of trifocal tensors provides crucial geometric information on the three-view geometry of a scene. The underlying synchronization problem seeks to recover camera poses (locations and orientations up to a global transformation) from the block trifocal tensor. We establish an explicit Tucker factorization... | [
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272689640 | 2409.09272 | 2024-09-14 | SafeEar: Content Privacy-Preserving Audio Deepfake Detection | Text-to-Speech (TTS) and Voice Conversion (VC) models have exhibited remarkable performance in generating realistic and natural audio. However, their dark side, audio deepfake poses a significant threat to both society and individuals. Existing countermeasures largely focus on determining the genuineness of speech base... | [
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272689592 | 2409.09427 | 2024-09-14 | Prototypical Prompting for Text-to-image Person Re-identification | In this paper, we study the problem of Text-to-Image Person Re-identification (TIReID), which aims to find images of the same identity described by a text sentence from a pool of candidate images. Benefiting from Vision-Language Pre-training, such as CLIP (Contrastive Language-Image Pretraining), the TIReID techniques ... | [
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275820230 | 2409.09532 | 2024-09-14 | Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning | In distributed computing environments, collaborative machine learning enables multiple clients to train a global model collaboratively. To preserve privacy in such settings, a common technique is to utilize frequent updates and transmissions of model parameters. However, this results in high communication costs between... | [
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272880869 | 2409.16312 | 2024-09-14 | SEE: Semantically Aligned EEG-to-Text Translation | Decoding neurophysiological signals into language is of great research interest within brain-computer interface (BCI) applications. Electroencephalography (EEG), known for its non-invasiveness, ease of use, and cost-effectiveness, has been a popular method in this field. However, current EEG-to-Text decoding approaches... | [
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272689708 | 2409.09469 | 2024-09-14 | Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics | In many data-driven applications, higher-order relationships among multiple objects are essential in capturing complex interactions. Hypergraphs, which generalize graphs by allowing edges to connect any number of nodes, provide a flexible and powerful framework for modeling such higher-order relationships. In this work... | [
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272690339 | 2409.09530 | 2024-09-14 | An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation | Image segmentation is a crucial task in computer vision, with wide-ranging applications in industry. The Segment Anything Model (SAM) has recently attracted intensive attention; however, its application in industrial inspection, particularly for segmenting commercial anti-counterfeit codes, remains challenging. Unlike ... | [
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272690073 | 2409.09261 | 2024-09-14 | What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing | Machine learning models make mistakes, yet sometimes it is difficult to identify the systematic problems behind the mistakes. Practitioners engage in various activities, including error analysis, testing, auditing, and red-teaming, to form hypotheses of what can go (or has gone) wrong with their models. To validate the... | [
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0,
1,
1,
1,
1,
1,
1,
1
] |
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