node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
41,378 | 24 | Title: DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
Abstract: Subgraph counting is the problem of counting the occurrences of a given query graph in a large target graph. Large-scale subgraph counting is useful in various domains, such as motif counting for social network analysis and loop counting ... | [] | Test |
41,379 | 16 | Title: RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic
Abstract: We present a comprehensive study of chart visual question-answering(QA) task, to address the challenges faced in comprehending and extracting data from chart visualizations within documents. Despite efforts to tackle this ... | [] | Train |
41,380 | 28 | Title: Effective Capacity Analysis of H-ARQ Assisted Cooperative Communication Systems
Abstract: In this paper, the effective capacity of cooperative communication (CC) systems with hybrid Automatic repeat request (HARQ) is derived. The derived expressions are valid for any channel distribution and with any arbitrary n... | [] | Validation |
41,381 | 24 | Title: Few-shot Class-incremental Learning: A Survey
Abstract: Few-shot Class-Incremental Learning (FSCIL) presents a unique challenge in machine learning, as it necessitates the continuous learning of new classes from sparse labeled training samples without forgetting previous knowledge. While this field has seen rece... | [
23560,
27209,
45354,
9423,
25914,
32603,
10783
] | Test |
41,382 | 16 | Title: Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols
Abstract: We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation from only six-direction diffusion weighted images (DWI). Deep learning-based methods have been recentl... | [] | Train |
41,383 | 24 | Title: A Co-training Approach for Noisy Time Series Learning
Abstract: In this work, we focus on robust time series representation learning. Our assumption is that real-world time series is noisy and complementary information from different views of the same time series plays an important role while analyzing noisy inp... | [
35183
] | Test |
41,384 | 27 | Title: Multi-Robot Patrol Algorithm with Distributed Coordination and Consciousness of the Base Station's Situation Awareness
Abstract: Multi-robot patrolling is the potential application for robotic systems to survey wide areas efficiently without human burdens and mistakes. However, such systems have few examples of ... | [] | Validation |
41,385 | 24 | Title: Causal Analysis of Customer Churn Using Deep Learning
Abstract: Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Two main business marketing strategies play vital roles to increase market share dollar- value: gaining new and preserving ex... | [
20796
] | Test |
41,386 | 30 | Title: You Are What You Annotate: Towards Better Models through Annotator Representations
Abstract: Annotator disagreement is ubiquitous in natural language processing (NLP) tasks. There are multiple reasons for such disagreements, including the subjectivity of the task, difficult cases, unclear guidelines, and so on. ... | [] | Train |
41,387 | 27 | Title: A method for Selecting Scenes and Emotion-based Descriptions for a Robot's Diary
Abstract: In this study, we examined scene selection methods and emotion-based descriptions for a robot's daily diary. We proposed a scene selection method and an emotion description method that take into account semantic and affect... | [
10624,
39890
] | Train |
41,388 | 16 | Title: RecolorNeRF: Layer Decomposed Radiance Field for Efficient Color Editing of 3D Scenes
Abstract: Radiance fields have gradually become a main representation of media. Although its appearance editing has been studied, how to achieve view-consistent recoloring in an efficient manner is still under explored. We pres... | [
44052,
541
] | Train |
41,389 | 23 | Title: Evaluating Microservice Organizational Coupling based on Cross-service Contribution
Abstract: For traditional modular software systems,"high cohesion, low coupling"is a recommended setting while it remains so for microservice architectures. However, coupling phenomena commonly exist therein which are caused by c... | [
24194
] | Train |
41,390 | 24 | Title: Transformers learn to implement preconditioned gradient descent for in-context learning
Abstract: Motivated by the striking ability of transformers for in-context learning, several works demonstrate that transformers can implement algorithms like gradient descent. By a careful construction of weights, these work... | [
40099,
5510,
25833,
23804,
45053
] | Test |
41,391 | 8 | Title: Visualizing MAC and IPv6 Address Allocations
Abstract: In this work, I describe a method for visualizing two types of network address allocations: Media Access Control (MAC) addresses -- hardware identifiers permanently assigned to network interfaces -- and Internet Protocol Version 6 (IPv6) allocations -- subne... | [] | Test |
41,392 | 30 | Title: Long-range Language Modeling with Self-retrieval
Abstract: Retrieval-augmented language models (LMs) have received much attention recently. However, typically the retriever is not trained jointly as a native component of the LM, but added to an already-pretrained LM, which limits the ability of the LM and the re... | [
39873,
6403,
13700,
28809,
27669,
18806,
10903,
32213,
29375
] | Train |
41,393 | 24 | Title: Heterogeneous Oblique Double Random Forest
Abstract: The decision tree ensembles use a single data feature at each node for splitting the data. However, splitting in this manner may fail to capture the geometric properties of the data. Thus, oblique decision trees generate the oblique hyperplane for splitting th... | [] | Validation |
41,394 | 24 | Title: GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Abstract: Continual learning (CL) in deep neural networks (DNNs) involves incrementally accumulating knowledge in a DNN from a growing data stream. A major challenge in CL is that non-stationary data streams cause catastrophic forgetting of previo... | [
41032,
42698,
35917,
10783
] | Train |
41,395 | 24 | Title: Black Box Adversarial Prompting for Foundation Models
Abstract: Prompting interfaces allow users to quickly adjust the output of generative models in both vision and language. However, small changes and design choices in the prompt can lead to significant differences in the output. In this work, we develop a bla... | [
7648,
36179,
20379,
28392
] | Train |
41,396 | 27 | Title: Sim-to-Real Deep Reinforcement Learning based Obstacle Avoidance for UAVs under Measurement Uncertainty
Abstract: Deep Reinforcement Learning is quickly becoming a popular method for training autonomous Unmanned Aerial Vehicles (UAVs). Our work analyzes the effects of measurement uncertainty on the performance o... | [] | Test |
41,397 | 31 | Title: Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System
Abstract: In the realm of search systems, multi-stage cascade architecture is a prevalent method, typically consisting of sequential modules such as matching, pre-ranking, and ranking. It is generally acknowledged that the mo... | [] | Test |
41,398 | 16 | Title: Deepfake Detection using Biological Features: A Survey
Abstract: A deep learning-based technique called deepfake has made it easier to change or modify images and videos. In investigations and court, visual evidence is commonly employed. These pieces of evidence may now be a suspect due to technological advancem... | [] | Train |
41,399 | 26 | Title: Tracking the Structure and Sentiment of Vaccination Discussions on Mumsnet
Abstract: Vaccination is one of the most impactful healthcare interventions in terms of lives saved at a given cost, leading the anti-vaccination movement to be identified as one of the top 10 threats to global health in 2019 by the World... | [
13700
] | Train |
41,400 | 16 | Title: LERF: Language Embedded Radiance Fields
Abstract: Humans describe the physical world using natural language to refer to specific 3D locations based on a vast range of properties: visual appearance, semantics, abstract associations, or actionable affordances. In this work we propose Language Embedded Radiance Fie... | [
44707,
17700,
19781,
35495,
744,
16009,
16074,
28557,
22222,
24399,
20785,
8562,
30835,
36308,
39227,
18267,
42462
] | Train |
41,401 | 24 | Title: Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms
Abstract: Graph neural networks (GNNs) have emerged as a popular strategy for handling non-Euclidean data due to their state-of-the-art performance. However, most of the current GNN model designs mainly focus on task accuracy, lack... | [
41764,
16983
] | Train |
41,402 | 28 | Title: An Information-Theoretic Approach to Collaborative Integrated Sensing and Communication for Two-Transmitter Systems
Abstract: This paper considers information-theoretic models for integrated sensing and communication (ISAC) over multi-access channels (MAC) and device-to-device (D2D) communication. The models are... | [
2161
] | Validation |
41,403 | 27 | Title: Re-evaluating Parallel Finger-tip Tactile Sensing for Inferring Object Adjectives: An Empirical Study
Abstract: Finger-tip tactile sensors are increasingly used for robotic sensing to establish stable grasps and to infer object properties. Promising performance has been shown in a number of works for inferring a... | [] | Train |
41,404 | 24 | Title: AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Abstract: Diffusion models have demonstrated their powerful generative capability in many tasks, with great potential to serve as a paradigm for offline reinforcement learning. However, the quality of the diffusion model is limited by the insuffi... | [
1603,
37477,
44649,
24651,
9882,
17529,
7514
] | Train |
41,405 | 8 | Title: Open RAN Testbeds with Controlled Air Mobility
Abstract: —With its promise of increasing softwarization, im- proving disaggregability, and creating an open-source based ecosystem in the area of Radio Access Networks, the idea of Open RAN has generated rising interest in the community. Even as the community races... | [] | Train |
41,406 | 6 | Title: Facebook Data Shield: Increasing Awareness and Control over Data used by Newsfeed-Generating Algorithms
Abstract: Social media platforms newsfeeds are generated by AI algorithms, which select and order posts based on user data. However, users are often unaware of what data is collected and employed for this aim,... | [] | Train |
41,407 | 24 | Title: Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Abstract: Learning heuristics for vehicle routing problems (VRPs) has gained much attention due to the less reliance on hand-crafted rules. However, existing methods are typically trained and tested on the same task with a fixed size and dist... | [
136,
42797,
41879,
10842,
33787
] | Test |
41,408 | 16 | Title: Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
Abstract: State-of-the-art Text-to-Image models like Stable Diffusion and DALLE$\cdot$2 are revolutionizing how people generate visual content. At the same time, society has serious concerns about how adversaries can... | [
3364,
13832,
8308,
5725,
28575
] | Validation |
41,409 | 4 | Title: Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?
Abstract: Software vulnerabilities bear enterprises significant costs. Despite extensive efforts in research and development of software vulnerability detection methods, uncaught vulnerabilities continue to put so... | [
23998,
11190
] | Train |
41,410 | 24 | Title: Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources
Abstract: Advanced metering infrastructure (AMI) has been widely used as an intelligent energy consumption measurement system. Electric power was the representative energy source that can be collected by AMI; most... | [] | Train |
41,411 | 28 | Title: Multi-Timescale Channel Customization for Transmission Design in RIS-Assisted MIMO Systems
Abstract: The performance of transmission schemes is heavily influenced by the wireless channel, which is typically considered an uncontrollable factor. However, the introduction of reconfigurable intelligent surfaces (RIS... | [] | Validation |
41,412 | 3 | Title: An Adapted Cascade Model to Scale Primary School Digital Education Curricular Reforms and Teacher Professional Development Programs
Abstract: Many countries struggle to effectively introduce Digital Education (DE) to all K-12 students as they lack adequately trained teachers. While cascade models of in-service t... | [] | Test |
41,413 | 16 | Title: Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
Abstract: Transfer learning is a promising method for AOI applications since it can significantly shorten sample collection time and improve efficiency in today’s smart manufacturing. However, related research enhanced the... | [] | Validation |
41,414 | 24 | Title: Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills
Abstract: Autonomously learning diverse behaviors without an extrinsic reward signal has been a problem of interest in reinforcement learning. However, the nature of learning in such mechanisms is unconstrained, often resulti... | [] | Train |
41,415 | 24 | Title: Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
Abstract: Causal effect estimation from data typically requires assumptions about the cause-effect relations either explicitly in the form of a causal graph structure within the Pearlian framework, or implicitly in terms of (conditional... | [] | Test |
41,416 | 24 | Title: Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
Abstract: One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). D... | [
37595,
34036
] | Train |
41,417 | 16 | Title: Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation
Abstract: This study introduces an efficacious approach, Masked Collaborative Contrast (MCC), to highlight semantic regions in weakly supervised semantic segmentation. MCC adroitly draws inspiration from masked image modeling and contrasti... | [
23320,
11225,
33832,
7389
] | Validation |
41,418 | 27 | Title: A Variable Autonomy approach for an Automated Weeding Platform
Abstract: Climate change, increase in world population and the war in Ukraine have led nations such as the UK to put a larger focus on food security, while simultaneously trying to halt declines in biodiversity and reduce risks to human health posed ... | [] | Validation |
41,419 | 16 | Title: MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction
Abstract: We introduce MIPS-Fusion, a robust and scalable online RGB-D reconstruction method based on a novel neural implicit representation -- multi-implicit-submap. Different from existing neural RGB-D reconstruction... | [
2223
] | Test |
41,420 | 27 | Title: Real-time and Robust Feature Detection of Continuous Marker Pattern for Dense 3-D Deformation Measurement
Abstract: nan | [
28815
] | Train |
41,421 | 22 | Title: Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning
Abstract: Dynamically typed languages such as Python have become very popular 1 . Among other strengths, Python’s dynamic nature and its straightforward linking to native code have made it the de-facto language for ma... | [] | Validation |
41,422 | 28 | Title: AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation
Abstract: In wideband millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, channel estimation is challenging due to the hybrid analog-digital architecture, which compresses the received pilot signal and makes channel... | [
24030
] | Train |
41,423 | 16 | Title: DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model
Abstract: Synthesizing face images from monochrome sketches is one of the most fundamental tasks in the field of image-to-image translation. However, it is still challenging to (1)~make models learn the high-dimensional ... | [
15920
] | Train |
41,424 | 16 | Title: Automatic Image Blending Algorithm Based on SAM and DINO
Abstract: The field of image blending has gained popularity in recent years for its ability to create visually stunning content. However, the current image blending algorithm has the following problems: 1) The manual creation of the image blending mask req... | [] | Train |
41,425 | 24 | Title: A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Abstract: Pre-trained large language models (LLMs) have recently achieved better generalization and sample efficiency in autonomous web navigation. However, the performance on real-world websites has still suffered from (1) op... | [
13700,
19492,
25892,
3655,
33220,
14153,
16909,
35950,
33455,
37742,
40368,
29396,
5077,
2549,
22998,
1401,
634
] | Validation |
41,426 | 30 | Title: Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
Abstract: Translating natural language sentences to first-order logic (NL-FOL translation) is a longstanding challenge in the NLP and formal logic literature. This paper introduces LogicLLaMA, a LLaMA-7B model fin... | [
38464,
33220,
13700
] | Test |
41,427 | 30 | Title: LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
Abstract: Text Summarization is a popular task and an active area of research for the Natural Language Processing community. By definition, it requires to account for long input texts, a characteristic which poses comput... | [
37504,
32764
] | Train |
41,428 | 24 | Title: A Survey of Historical Learning: Learning Models with Learning History
Abstract: New knowledge originates from the old. The various types of elements, deposited in the training history, are a large amount of wealth for improving learning deep models. In this survey, we comprehensively review and summarize the to... | [
4154
] | Validation |
41,429 | 16 | Title: EdgeFace: Efficient Face Recognition Model for Edge Devices
Abstract: In this paper, we present EdgeFace, a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt. By effectively combining the strengths of both CNN and Transformer models, and a low rank linear layer, E... | [
28216,
29128
] | Train |
41,430 | 24 | Title: The Power of External Memory in Increasing Predictive Model Capacity
Abstract: One way of introducing sparsity into deep networks is by attaching an external table of parameters that is sparsely looked up at different layers of the network. By storing the bulk of the parameters in the external table, one can inc... | [] | Train |
41,431 | 31 | Title: Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022
Abstract: This paper describes our participation to the 2022 TREC Deep Learning challenge. We submitted runs to all four tasks, with a focus on the full retrieval passage task. The strategy is almost the same as 2021, with first stage retrieval being based aro... | [
16496,
13569,
206
] | Train |
41,432 | 4 | Title: ChatIDS: Explainable Cybersecurity Using Generative AI
Abstract: Intrusion Detection Systems (IDS) are a proven approach to secure networks. However, in a privately used network, it is difficult for users without cybersecurity expertise to understand IDS alerts, and to respond in time with adequate measures. Thi... | [
43566,
13278
] | Train |
41,433 | 4 | Title: Balancing Privacy and Performance for Private Federated Learning Algorithms
Abstract: Federated learning (FL) is a distributed machine learning (ML) framework where multiple clients collaborate to train a model without exposing their private data. FL involves cycles of local computations and bi-directional commu... | [
15495
] | Train |
41,434 | 33 | Title: Safety and Liveness of Quantitative Automata
Abstract: The safety-liveness dichotomy is a fundamental concept in formal languages which plays a key role in verification. Recently, this dichotomy has been lifted to quantitative properties, which are arbitrary functions from infinite words to partially-ordered dom... | [
16666
] | Train |
41,435 | 24 | Title: Corruption-Robust Lipschitz Contextual Search
Abstract: I study the problem of learning a Lipschitz function with corrupted binary signals. The learner tries to learn a Lipschitz function $f$ that the adversary chooses. In each round, the adversary selects a context vector $x_t$ in the input space, and the learn... | [] | Validation |
41,436 | 24 | Title: Graph Mixup with Soft Alignments
Abstract: We study graph data augmentation by mixup, which has been used successfully on images. A key operation of mixup is to compute a convex combination of a pair of inputs. This operation is straightforward for grid-like data, such as images, but challenging for graph data. ... | [
32786,
21719
] | Train |
41,437 | 16 | Title: Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised Audio-Visual Video Parsing
Abstract: Weakly-supervised audio-visual video parsing (WS-AVVP) aims to localize the temporal extents of audio, visual and audio-visual event instances as well as identify the corresponding event categories with only... | [] | Train |
41,438 | 27 | Title: UPPLIED: UAV Path Planning for Inspection through Demonstration
Abstract: In this paper, a new demonstration-based path-planning framework for the visual inspection of large structures using UAVs is proposed. We introduce UPPLIED: UAV Path PLanning for InspEction through Demonstration, which utilizes a demonstra... | [] | Validation |
41,439 | 16 | Title: Street-View Image Generation from a Bird's-Eye View Layout
Abstract: Bird's-Eye View (BEV) Perception has received increasing attention in recent years as it provides a concise and unified spatial representation across views and benefits a diverse set of downstream driving applications. While the focus has been ... | [
740,
18283,
20474,
8700,
18974
] | Train |
41,440 | 31 | Title: Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks
Abstract: Voucher abuse detection is an important anomaly detection problem in E-commerce. While many GNN-based solutions have emerged, the supervised paradigm depends on a large quantity of labeled data. A popular alternative is to a... | [
4110
] | Train |
41,441 | 36 | Title: To Rectify Routing Games for Social Information Sharing
Abstract: We study a new incentive problem of social information sharing for location-based services (e.g., Waze and Yelp). The problem aims to crowdsource a mass of mobile users to learn massive point-of-interest (PoI) information while traveling and share... | [] | Test |
41,442 | 30 | Title: Multilingual Simplification of Medical Texts
Abstract: Automated text simplification aims to produce simple versions of complex texts. This task is especially useful in the medical domain, where the latest medical findings are typically communicated via complex and technical articles. This creates barriers for l... | [
42424,
16489,
23277
] | Test |
41,443 | 4 | Title: A Brief Study of Privacy-Preserving Practices (PPP) in Data Mining
Abstract: Data mining is the way toward mining fascinating patterns or information from an enormous level of the database. Data mining additionally opens another risk to privacy and data security.One of the maximum significant themes in the resea... | [
5154,
25547
] | Train |
41,444 | 10 | Title: Artificial intelligence is algorithmic mimicry: why artificial "agents" are not (and won't be) proper agents
Abstract: What is the prospect of developing artificial general intelligence (AGI)? I investigate this question by systematically comparing living and algorithmic systems, with a special focus on the noti... | [
30243,
13510
] | Train |
41,445 | 39 | Title: Planar graphs are acyclically edge $(\Delta + 5)$-colorable
Abstract: An edge coloring of a graph $G$ is to color all the edges in the graph such that adjacent edges receive different colors. It is acyclic if each cycle in the graph receives at least three colors. Fiam{\v{c}}ik (1978) and Alon, Sudakov and Zaks ... | [] | Train |
41,446 | 35 | Title: RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design
Abstract: Software-defined networking (SDN) and software-defined flash (SDF) have been serving as the backbone of modern data centers. They are managed separately to handle I/O requests. At first glance, this is a reasonable de... | [] | Test |
41,447 | 23 | Title: pytest-inline: An Inline Testing Tool for Python
Abstract: We present pytest-inline, the first inline testing framework for Python. We recently proposed inline tests to make it easier to test individual program statements. But, there is no framework-level support for developers to write inline tests in Python. T... | [
25000
] | Train |
41,448 | 37 | Title: Generative Benchmark Creation for Table Union Search
Abstract: Data management has traditionally relied on synthetic data generators to generate structured benchmarks, like the TPC suite, where we can control important parameters like data size and its distribution precisely. These benchmarks were central to the... | [
24928,
12737,
5461,
14971,
9403,
34236
] | Train |
41,449 | 16 | Title: Neural Implicit Shape Editing using Boundary Sensitivity
Abstract: Neural fields are receiving increased attention as a geometric representation due to their ability to compactly store detailed and smooth shapes and easily undergo topological changes. Compared to classic geometry representations, however, neural... | [] | Validation |
41,450 | 24 | Title: Online Continual Learning on Hierarchical Label Expansion
Abstract: Continual learning (CL) enables models to adapt to new tasks and environments without forgetting previously learned knowledge. While current CL setups have ignored the relationship between labels in the past task and the new task with or without... | [] | Validation |
41,451 | 28 | Title: Cell-Free XL-MIMO Meets Multi-Agent Reinforcement Learning: Architectures, Challenges, and Future Directions
Abstract: Cell-free massive multiple-input multiple-output (mMIMO) and extremely large-scale MIMO (XL-MIMO) are regarded as promising innovations for the forthcoming generation of wireless communication s... | [
6959
] | Train |
41,452 | 24 | Title: Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
Abstract: One of the central questions in the theory of deep learning is to understand how neural networks learn hierarchical features. The ability of deep networks to extract salient features is crucial to both their outstanding g... | [
15609,
30467
] | Test |
41,453 | 30 | Title: ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding
Abstract: We introduce ZeroSCROLLS, a zero-shot benchmark for natural language understanding over long texts, which contains only test sets, without training or development data. We adapt six tasks from the SCROLLS benchmark, and add four new dataset... | [
39873,
28809,
19885,
42574,
5077
] | Train |
41,454 | 24 | Title: Alfred: A System for Prompted Weak Supervision
Abstract: Alfred is the first system for programmatic weak supervision (PWS) that creates training data for machine learning by prompting. In contrast to typical PWS systems where weak supervision sources are programs coded by experts, Alfred enables users to encode... | [
28132
] | Train |
41,455 | 24 | Title: Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
Abstract: Cardiovascular diseases (CVD) are the leading cause of death globally, and early detection can significantly improve outcomes for patients. Machine learning (ML) models can help diagn... | [] | Test |
41,456 | 16 | Title: Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation
Abstract: Malnutrition poses a significant threat to global health, resulting from an inadequate intake of essential nutrients that adversely impacts vital organs and overall bodily functioning. Periodi... | [] | Train |
41,457 | 24 | Title: Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks
Abstract: Edge computing is a promising solution for handling high-dimensional, multispectral analog data from sensors and IoT devices for applications such as autonomous drones. However, edge d... | [
20298,
17845,
15119
] | Train |
41,458 | 16 | Title: Prompt Tuning based Adapter for Vision-Language Model Adaption
Abstract: Large pre-trained vision-language (VL) models have shown significant promise in adapting to various downstream tasks. However, fine-tuning the entire network is challenging due to the massive number of model parameters. To address this issu... | [] | Test |
41,459 | 16 | Title: A-MuSIC: An Adaptive Ensemble System For Visual Place Recognition In Changing Environments
Abstract: Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data. VPR is challenging due to the significant changes ... | [] | Validation |
41,460 | 25 | Title: UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data
Abstract: We propose UnitSpeech, a speaker-adaptive speech synthesis method that fine-tunes a diffusion-based text-to-speech (TTS) model using minimal untranscribed data. To achieve this, we use the self-supervised unit representation as a pse... | [] | Validation |
41,461 | 16 | Title: Amodal Intra-class Instance Segmentation: New Dataset and Benchmark
Abstract: Images of realistic scenes often contain intra-class objects that are heavily occluded from each other, making the amodal perception task that requires parsing the occluded parts of the objects challenging. Although important for downs... | [] | Train |
41,462 | 24 | Title: Chaos persists in large-scale multi-agent learning despite adaptive learning rates
Abstract: Multi-agent learning is intrinsically harder, more unstable and unpredictable than single agent optimization. For this reason, numerous specialized heuristics and techniques have been designed towards the goal of achievi... | [] | Train |
41,463 | 24 | Title: A Survey of Some Density Based Clustering Techniques
Abstract: Density Based Clustering are a type of Clustering methods using in data mining for extracting previously unknown patterns from data sets. There are a number of density based clustering methods such as DBSCAN, OPTICS, DENCLUE, VDBSCAN, DVBSCAN, DBCLAS... | [] | Train |
41,464 | 24 | Title: Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
Abstract: With the rapid proliferation of smart mobile devices, federated learning (FL) has been widely considered for application in wireless networks for distributed model training. However, data heterogeneity, e.g., non-independe... | [] | Train |
41,465 | 16 | Title: Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation
Abstract: This paper describes a method of domain adaptive training for semantic segmentation using multiple source datasets that are not necessarily relevant to the target dataset. We propose a soft pseudo-l... | [] | Train |
41,466 | 24 | Title: Learning to Design Analog Circuits to Meet Threshold Specifications
Abstract: Automated design of analog and radio-frequency circuits using supervised or reinforcement learning from simulation data has recently been studied as an alternative to manual expert design. It is straightforward for a design agent to le... | [] | Train |
41,467 | 4 | Title: Feature Mining for Encrypted Malicious Traffic Detection with Deep Learning and Other Machine Learning Algorithms
Abstract: nan | [] | Validation |
41,468 | 34 | Title: Submodular Maximization under the Intersection of Matroid and Knapsack Constraints
Abstract: Submodular maximization arises in many applications, and has attracted a lot of research attentions from various areas such as artificial intelligence, finance and operations research. Previous studies mainly consider on... | [] | Train |
41,469 | 16 | Title: Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Abstract: Understanding the interaction between multiple agents is crucial for realistic vehicle trajectory prediction. Existing methods have attempted to infer the interaction from the observed past trajectories of agents using pooling, ... | [
18680,
5897,
17933,
19638
] | Train |
41,470 | 6 | Title: An Empirical Study on Fertility Proposals Using Multi-Grained Topic Analysis Methods
Abstract: Fertility issues are closely related to population security, in 60 years China's population for the first time in a negative growth trend, the change of fertility policy is of great concern to the community. 2023"two s... | [] | Test |
41,471 | 16 | Title: FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene
Abstract: It has long been an ill-posed problem to predict absolute depth maps from single images in real (unseen) indoor scenes. We observe that it is essentially due to not only the scale-ambiguous problem but also the focal-... | [
33936
] | Train |
41,472 | 30 | Title: Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens
Abstract: Many useful tasks on scientific documents, such as topic classification and citation prediction, involve corpora that span multiple scientific domains. Typically, such tasks are accomplished by representing the text with a vector... | [] | Train |
41,473 | 10 | Title: Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Abstract: Few-shot inductive link prediction on knowledge graphs (KGs) aims to predict missing links for unseen entities with few-shot links observed. Previous methods are limited to transdu... | [
8769,
10139,
31215
] | Train |
41,474 | 16 | Title: Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Abstract: An authentic face restoration system is becoming increasingly demanding in many computer vision applications, e.g., image enhancement, video communication, and taking portrait. Most of the advanced face restoration models can... | [] | Validation |
41,475 | 10 | Title: The Representational Status of Deep Learning Models
Abstract: This paper aims to clarify the representational status of Deep Learning Models (DLMs). While commonly referred to as 'representations', what this entails is ambiguous due to a conflation of functional and relational conceptions of representation. This... | [] | Train |
41,476 | 2 | Title: An Abstract Look at Awareness Models and Their Dynamics
Abstract: This work builds upon a well-established research tradition on modal logics of awareness. One of its aims is to export tools and techniques to other areas within modal logic. To this end, we illustrate a number of significant bridges with abstract... | [] | Test |
41,477 | 16 | Title: Human MotionFormer: Transferring Human Motions with Vision Transformers
Abstract: Human motion transfer aims to transfer motions from a target dynamic person to a source static one for motion synthesis. An accurate matching between the source person and the target motion in both large and subtle motion changes i... | [] | Train |
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