node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
27,478 | 16 | Title: Text-Guided Scene Sketch-to-Photo Synthesis
Abstract: We propose a method for scene-level sketch-to-photo synthesis with text guidance. Although object-level sketch-to-photo synthesis has been widely studied, whole-scene synthesis is still challenging without reference photos that adequately reflect the target s... | [
34074
] | Train |
27,479 | 16 | Title: Real-Time Aerial Detection and Reasoning on Embedded-UAVs in Rural Environments
Abstract: We present a unified pipeline architecture for a real-time detection system on an embedded system for unmanned aerial vehicles (UAVs). Neural architectures have been the industry standard for computer vision. However, most ... | [
5549
] | Test |
27,480 | 7 | Title: MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention
Abstract: With the development of computational fluid dynamics, the requirements for the fluid simulation accuracy in industrial applications have also increased. The quality of the generated mesh directly affects the simulation ac... | [
27232
] | Train |
27,481 | 30 | Title: SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities
Abstract: The rapid advance in artificial intelligence technology has facilitated the prosperity of digital humanities research. Against such backdrop, research methods need ... | [
17479
] | Test |
27,482 | 24 | Title: Data Race Detection Using Large Language Models
Abstract: Large language models (LLMs) are demonstrating significant promise as an alternate strategy to facilitate analyses and optimizations of high-performance computing programs, circumventing the need for resource-intensive manual tool creation. In this paper,... | [
35680,
40192,
32450,
24931,
31145,
5815,
43641,
2845
] | Train |
27,483 | 15 | Title: Towards Power Characterization of FPGA Architectures To Enable Open-Source Power Estimation Using Micro-Benchmarks
Abstract: While in the past decade there has been significant progress in open-source synthesis and verification tools and flows, one piece is still missing in the open-source design automation ecos... | [] | Test |
27,484 | 16 | Title: DiT: Efficient Vision Transformers with Dynamic Token Routing
Abstract: Recently, the tokens of images share the same static data flow in many dense networks. However, challenges arise from the variance among the objects in images, such as large variations in the spatial scale and difficulties of recognition for... | [] | Train |
27,485 | 34 | Title: On Finding Constrained Independent Sets in Cycles
Abstract: A subset of $[n] = \{1,2,\ldots,n\}$ is called stable if it forms an independent set in the cycle on the vertex set $[n]$. In 1978, Schrijver proved via a topological argument that for all integers $n$ and $k$ with $n \geq 2k$, the family of stable $k$-... | [] | Validation |
27,486 | 10 | Title: Utilizing Admissible Bounds for Heuristic Learning
Abstract: While learning a heuristic function for forward search algorithms with modern machine learning techniques has been gaining interest in recent years, there has been little theoretical understanding of \emph{what} they should learn, \emph{how} to train t... | [
21263
] | Test |
27,487 | 24 | Title: Policy Optimization for Personalized Interventions in Behavioral Health
Abstract: Problem definition: Behavioral health interventions, delivered through digital platforms, have the potential to significantly improve health outcomes, through education, motivation, reminders, and outreach. We study the problem of ... | [] | Validation |
27,488 | 4 | Title: A Continent-Wide Assessment of Cyber Vulnerability Across Africa
Abstract: As the internet penetration rate in Africa increases, so does the proliferation of the Internet of Things (IoT) devices. Along with this growth in internet access is the risk of cyberattacks to vulnerable IoT devices mushrooming in the Af... | [] | Train |
27,489 | 27 | Title: Monte-Carlo Tree Search with Prioritized Node Expansion for Multi-Goal Task Planning
Abstract: Symbolic task planning for robots is computationally challenging due to the combinatorial complexity of the possible action space. This fact is amplified if there are several sub-goals to be achieved due to the increas... | [] | Train |
27,490 | 27 | Title: Biological Organisms as End Effectors
Abstract: In robotics, an end effector is a device at the end of a robotic arm that is designed to physically interact with objects in the environment or with the environment itself. Effectively, it serves as the hand of the robot, carrying out tasks on behalf of humans. But... | [] | Train |
27,491 | 24 | Title: On The Impact of Machine Learning Randomness on Group Fairness
Abstract: Statistical measures for group fairness in machine learning reflect the gap in performance of algorithms across different groups. These measures, however, exhibit a high variance between different training instances, which makes them unreli... | [
43641,
45435
] | Train |
27,492 | 24 | Title: Graph Neural Network-enabled Terahertz-based Flow-guided Nanoscale Localization
Abstract: Scientific advancements in nanotechnology and advanced materials are paving the way toward nanoscale devices for in-body precision medicine; comprising integrated sensing, computing, communication, data and energy storage c... | [
40448,
36082
] | Validation |
27,493 | 8 | Title: Exact Resource Allocation over Fair Wireless Relay Networks
Abstract: In relay-enabled cellular networks, the intertwined nature of network agents calls for complex schemes to allocate wireless resources. Resources need to be distributed among mobile users while considering how relay resources are allocated, and... | [] | Train |
27,494 | 2 | Title: A Formal Analysis of RANKING
Abstract: We describe a formal correctness proof of RANKING, an online algorithm for online bipartite matching. An outcome of our formalisation is that it shows that there is a gap in all combinatorial proofs of the algorithm. Filling that gap constituted the majority of the effort w... | [] | Train |
27,495 | 27 | Title: Seeing the Fruit for the Leaves: Robotically Mapping Apple Fruitlets in a Commercial Orchard
Abstract: Aotearoa New Zealand has a strong and growing apple industry but struggles to access workers to complete skilled, seasonal tasks such as thinning. To ensure effective thinning and make informed decisions on a p... | [
14519
] | Validation |
27,496 | 31 | Title: Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
Abstract: Recently, a new paradigm called Differentiable Search Index (DSI) has been proposed for document retrieval, wherein a sequence-to-sequence model is learned to directly map queries to relevant document identifiers. The key ide... | [
23973,
9678
] | Train |
27,497 | 30 | Title: KoBBQ: Korean Bias Benchmark for Question Answering
Abstract: The BBQ (Bias Benchmark for Question Answering) dataset enables the evaluation of the social biases that language models (LMs) exhibit in downstream tasks. However, it is challenging to adapt BBQ to languages other than English as social biases are cu... | [
16120
] | Validation |
27,498 | 28 | Title: Asymptotically Optimal Cascaded Coded Distributed Computing via Combinatorial Designs
Abstract: Coded distributed computing (CDC) introduced by Li \emph{et al.} can greatly reduce the communication load for MapReduce computing systems. In the general cascaded CDC with $K$ workers, $N$ input files and $Q$ Reduce ... | [
36969,
5124,
6807
] | Train |
27,499 | 30 | Title: Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset
Abstract: In visual instruction-following dialogue games, players can engage in repair mechanisms in face of an ambiguous or underspecified instruction that cannot be fully mapped to action... | [
6875,
15276
] | Train |
27,500 | 30 | Title: Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer
Abstract: Nearest Neighbor Machine Translation ($k$NN-MT) has achieved great success on domain adaptation tasks by integrating pre-trained Neural Machine Translation (NMT) models with domain-specific token-level retrieval. However,... | [
1009,
26236,
29151
] | Test |
27,501 | 28 | Title: Optimal Covariance Cleaning for Heavy-Tailed Distributions: Insights from Information Theory
Abstract: In optimal covariance cleaning theory, minimizing the Frobenius norm between the true population covariance matrix and a rotational invariant estimator is a key step. This estimator can be obtained asymptotical... | [] | Train |
27,502 | 27 | Title: Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
Abstract: Visual-audio navigation (VAN) is attracting more and more attention from the robotic community due to its broad applications, e.g., household robots and rescue robots. In this task, an embodied agent m... | [] | Validation |
27,503 | 16 | Title: ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression
Abstract: Over the last few years, neural image compression has gained wide attention from research and industry, yielding promising end-to-end deep neural codecs outperforming their conventional counterparts in rate-distortion perfo... | [] | Train |
27,504 | 24 | Title: What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
Abstract: Offline goal-conditioned RL (GCRL) offers a way to train general-purpose agents from fully offline datasets. In addition to being conservative within the dataset, the generalization ability to achieve unseen goals is anoth... | [
16227,
27798
] | Train |
27,505 | 24 | Title: Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
Abstract: Pseudo Labeling is a technique used to improve the performance of semi-supervised Graph Neural Networks (GNNs) by generating additional pseudo-labels based on confident predictions. However, the quality of generated pseudo-labels has ... | [] | Train |
27,506 | 26 | Title: In A Society of Strangers, Kin Is Still Key: Identified Family Relations In Large-Scale Mobile Phone Data
Abstract: Mobile call networks have been widely used to investigate communication patterns and the network of interactions of humans at the societal scale. Yet, more detailed analysis is often hindered by ha... | [] | Validation |
27,507 | 30 | Title: One Wide Feedforward is All You Need
Abstract: The Transformer architecture has two main non-embedding components: Attention and the Feed Forward Network (FFN). Attention captures interdependencies between words regardless of their position, while the FFN non-linearly transforms each input token independently. I... | [
38192
] | Train |
27,508 | 16 | Title: Monocular Depth Estimation using Diffusion Models
Abstract: We formulate monocular depth estimation using denoising diffusion models, inspired by their recent successes in high fidelity image generation. To that end, we introduce innovations to address problems arising due to noisy, incomplete depth maps in trai... | [
37217,
33150,
44197,
32261,
456,
13582,
15951,
40405,
410,
26620,
6878
] | Validation |
27,509 | 16 | Title: SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation
Abstract: Image translation has wide applications, such as style transfer and modality conversion, usually aiming to generate images having both high degrees of realism and faithfulness. These problems remain difficult, especially... | [
35263
] | Train |
27,510 | 16 | Title: Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
Abstract: An important line of research attempts to explain CNN image classifier predictions and intermediate layer representations in terms of human understandable concepts. In this work, we expand on previous works in the literat... | [] | Train |
27,511 | 24 | Title: Toward Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets
Abstract: Provisioning dynamic machine learning (ML) inference as a service for artificial intelligence (AI) applications of edge devices faces many challenges, including the tradeoff among accuracy loss, carbon e... | [
30925
] | Validation |
27,512 | 30 | Title: BAD: BiAs Detection for Large Language Models in the context of candidate screening
Abstract: Application Tracking Systems (ATS) have allowed talent managers, recruiters, and college admissions committees to process large volumes of potential candidate applications efficiently. Traditionally, this screening proc... | [
27282,
44173
] | Train |
27,513 | 30 | Title: A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks
Abstract: Conformer, a convolution-augmented Transformer variant, has become the de facto encoder architecture for speech processing due to its superior performance in various tasks, including automatic... | [
17370
] | Train |
27,514 | 24 | Title: Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Abstract: The goal of data-free meta-learning is to learn useful prior knowledge from a collection of pre-trained models without accessing their training data. However, existing works only solve the problem in parameter space, which (i) ignor... | [
253
] | Test |
27,515 | 30 | Title: Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation
Abstract: Non-parametric, k-nearest-neighbor algorithms have recently made inroads to assist generative models such as language models and machine translation decoders. We explore whether such non-parametric models can improve m... | [] | Test |
27,516 | 24 | Title: Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation
Abstract: We analyze stochastic gradient descent (SGD) type algorithms on a high-dimensional sphere which is parameterized by a neural network up to a normalization constant. We provide a ne... | [] | Train |
27,517 | 16 | Title: SKED: Sketch-guided Text-based 3D Editing
Abstract: Text-to-image diffusion models are gradually introduced into computer graphics, recently enabling the development of Text-to-3D pipelines in an open domain. However, for interactive editing purposes, local manipulations of content through a simplistic textual i... | [
40256,
3277,
30995,
42484,
13813,
21014,
34199,
16697
] | Train |
27,518 | 15 | Title: FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul ?
Abstract: The dominance of machine learning and the ending of Moore's law have renewed interests in Processor in Memory (PIM) architectures. This interest has produced several recent proposals to modify an FPGA's BRAM architecture to form a nex... | [] | Train |
27,519 | 27 | Title: Efficient Belief Road Map for Planning Under Uncertainty
Abstract: Robotic systems, particularly in demanding environments like narrow corridors or disaster zones, often grapple with imperfect state estimation. Addressing this challenge requires a trajectory plan that not only navigates these restrictive spaces ... | [] | Train |
27,520 | 38 | Title: Generating large-scale network analyses of scientific landscapes in seconds using Dimensions on Google BigQuery
Abstract: The growth of large, programatically accessible bibliometrics databases presents new opportunities for complex analyses of publication metadata. In addition to providing a wealth of informati... | [] | Train |
27,521 | 24 | Title: Budgeting Counterfactual for Offline RL
Abstract: The main challenge of offline reinforcement learning, where data is limited, arises from a sequence of counterfactual reasoning dilemmas within the realm of potential actions: What if we were to choose a different course of action? These circumstances frequently ... | [] | Test |
27,522 | 5 | Title: Federated Learning via Indirect Server-Client Communications
Abstract: Federated Learning (FL) is a communication-efficient and privacy-preserving distributed machine learning framework that has gained a significant amount of research attention recently. Despite the different forms of FL algorithms (e.g., synchr... | [
6788
] | Train |
27,523 | 24 | Title: Nearest-Neighbor Sampling Based Conditional Independence Testing
Abstract: The conditional randomization test (CRT) was recently proposed to test whether two random variables X and Y are conditionally independent given random variables Z. The CRT assumes that the conditional distribution of X given Z is known un... | [] | Train |
27,524 | 10 | Title: Viewpoint: A Theoretical Computer Science Perspective on Consciousness and Artificial General Intelligence
Abstract: We have defined the Conscious Turing Machine (CTM) for the purpose of investigating a Theoretical Computer Science (TCS) approach to consciousness. For this, we have hewn to the TCS demand for sim... | [] | Train |
27,525 | 4 | Title: Prefix Siphoning: Exploiting LSM-Tree Range Filters For Information Disclosure (Full Version)
Abstract: Key-value stores typically leave access control to the systems for which they act as storage engines. Unfortunately, attackers may circumvent such read access controls via timing attacks on the key-value store... | [] | Train |
27,526 | 7 | Title: A review of SolarWinds attack on Orion platform using persistent threat agents and techniques for gaining unauthorized access
Abstract: This paper of work examines the SolarWinds attack, designed on Orion Platform security incident. It analyses the persistent threats agents and potential technical attack techniq... | [] | Train |
27,527 | 24 | Title: When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review
Abstract: Multi-Task Learning (MTL) aims to learn multiple tasks simultaneously while exploiting their mutual relationships. By using shared resources to simultaneously calculate multiple outputs, this learning paradigm has the potentia... | [
9590,
13086
] | Validation |
27,528 | 24 | Title: Beckman Defense
Abstract: Optimal transport (OT) based distributional robust optimisation (DRO) has received some traction in the recent past. However, it is at a nascent stage but has a sound potential in robustifying the deep learning models. Interestingly, OT barycenters demonstrate a good robustness against ... | [] | Train |
27,529 | 10 | Title: Learning Type-Generalized Actions for Symbolic Planning
Abstract: Symbolic planning is a powerful technique to solve complex tasks that require long sequences of actions and can equip an intelligent agent with complex behavior. The downside of this approach is the necessity for suitable symbolic representations ... | [
6670
] | Test |
27,530 | 25 | Title: Musical creativity enabled by nonlinear oscillations of a bubble in water
Abstract: Producing original and arranging existing musical outcomes is an art that takes years of learning and practice to master. Yet, despite the constant advances in the field of AI-powered musical creativity, production of quality mus... | [] | Train |
27,531 | 28 | Title: Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
Abstract: Given a set of discrete probability distributions, the minimum entropy coupling is the minimum entropy joint distribution that has the input distributions as its marginals. This has immediate relevance to tasks such as en... | [
12827,
39548
] | Validation |
27,532 | 24 | Title: Shortcut Detection with Variational Autoencoders
Abstract: For real-world applications of machine learning (ML), it is essential that models make predictions based on well-generalizing features rather than spurious correlations in the data. The identification of such spurious correlations, also known as shortcut... | [] | Test |
27,533 | 36 | Title: Strategic Proxy Voting on the Line
Abstract: This paper offers a framework for the study of strategic behavior in proxy voting, where non-active voters delegate their votes to active voters. We further study how proxy voting affects the strategic behavior of non-active voters and proxies (active voters) under co... | [] | Validation |
27,534 | 30 | Title: Weakly Supervised Text Classification on Free Text Comments in Patient-Reported Outcome Measures
Abstract: Free text comments (FTC) in patient-reported outcome measures (PROMs) data are typically analysed using manual methods, such as content analysis, which is labour-intensive and time-consuming. Machine learni... | [] | Test |
27,535 | 23 | Title: Mutation-based Fault Localization of Deep Neural Networks
Abstract: Deep neural networks (DNNs) are susceptible to bugs, just like other types of software systems. A significant uptick in using DNN, and its applications in wide-ranging areas, including safety-critical systems, warrant extensive research on softw... | [] | Train |
27,536 | 24 | Title: TABLET: Learning From Instructions For Tabular Data
Abstract: Acquiring high-quality data is often a significant challenge in training machine learning (ML) models for tabular prediction, particularly in privacy-sensitive and costly domains like medicine and finance. Providing natural language instructions to la... | [
17299
] | Test |
27,537 | 30 | Title: GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning
Abstract: Grammatical error correction aims to correct ungrammatical sentences automatically. Recently, some work has demonstrated the excellent capabilities of closed-source Large Language Models (... | [
13345,
21921,
13700,
30280,
21739,
30221,
11217,
2102,
36252
] | Train |
27,538 | 36 | Title: Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks
Abstract: With the rapid acceleration of transportation electrification, public charging stations are becoming vital infrastructure in smart sustainable cities to provide on-demand electric vehicle (EV) charging services. As ... | [] | Validation |
27,539 | 24 | Title: Semantically Consistent Multi-view Representation Learning
Abstract: In this work, we devote ourselves to the challenging task of Unsupervised Multi-view Representation Learning (UMRL), which requires learning a unified feature representation from multiple views in an unsupervised manner. Existing UMRL methods m... | [] | Train |
27,540 | 16 | Title: Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection System
Abstract: Innovative enhancement in embedded system platforms, specifically hardware accelerations, significantly influence the application of deep learning in real-world scenarios. These innovations translate human labor ef... | [] | Train |
27,541 | 24 | Title: Interpretability from a new lens: Integrating Stratification and Domain knowledge for Biomedical Applications
Abstract: The use of machine learning (ML) techniques in the biomedical field has become increasingly important, particularly with the large amounts of data generated by the aftermath of the COVID-19 pan... | [] | Train |
27,542 | 30 | Title: FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback
Abstract: Captions are crucial for understanding scientific visualizations and documents. Existing captioning methods for scientific figures rely on figure-caption pairs extracted from documents for training, many of which fal... | [
15809,
4658,
36084,
4005
] | Train |
27,543 | 16 | Title: Leapfrog Diffusion Model for Stochastic Trajectory Prediction
Abstract: To model the indeterminacy of human behaviors, stochastic trajectory prediction requires a sophisticated multi-modal distribution of future trajectories. Emerging diffusion models have revealed their tremendous representation capacities in n... | [
39918,
19638
] | Train |
27,544 | 24 | Title: Prioritized Trace Selection: Towards High-Performance DRL-based Network Controllers
Abstract: Deep Reinforcement Learning (DRL) based controllers offer high performance in a variety of network environments. However, simulator-based training of DRL controllers using highly skewed datasets of real-world traces oft... | [
44376
] | Train |
27,545 | 30 | Title: RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation
Abstract: Endowing chatbots with a consistent persona is essential to an engaging conversation, yet it remains an unresolved challenge. In this work, we propose a new retrieval-enhanced approach for personalized ... | [] | Train |
27,546 | 25 | Title: A Study on Bias and Fairness In Deep Speaker Recognition
Abstract: With the ubiquity of smart devices that use speaker recognition (SR) systems as a means of authenticating individuals and personalizing their services, fairness of SR systems has becomes an important point of focus. In this paper we study the not... | [] | Train |
27,547 | 16 | Title: Backpropagation Path Search On Adversarial Transferability
Abstract: Deep neural networks are vulnerable to adversarial examples, dictating the imperativeness to test the model's robustness before deployment. Transfer-based attackers craft adversarial examples against surrogate models and transfer them to victim... | [
30440,
25670,
11143
] | Train |
27,548 | 24 | Title: Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
Abstract: This paper investigates cross-lingual temporal knowledge graph reasoning problem, which aims to facilitate reasoning on Temporal Knowledge Graphs (TKGs) in low-resource languages by transfering knowledge from TKG... | [
33929,
39995,
16725
] | Validation |
27,549 | 24 | Title: Landslide Susceptibility Prediction Modeling Based on Self-Screening Deep Learning Model
Abstract: Landslide susceptibility prediction has always been an important and challenging content. However, there are some uncertain problems to be solved in susceptibility modeling, such as the error of landslide samples a... | [] | Test |
27,550 | 13 | Title: A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning
Abstract: In general, a similarity threshold (i.e., a vigilance parameter) for a node learning process in Adaptive Resonance Theory (ART)-based algorithms has a significant impact on clustering perform... | [
9146
] | Train |
27,551 | 30 | Title: Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
Abstract: Neural-based word embeddings using solely distributional information have consistently produced useful meaning representations for downstream tasks. However, existing approaches often result in representations that are hard t... | [] | Train |
27,552 | 24 | Title: Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation
Abstract: Ultra-wideband (UWB)-based techniques, while becoming mainstream approaches for high-accurate positioning, tend to be challenged by ranging bias in harsh environments. The emerging learning-based methods for error mitigation have... | [
16042
] | Test |
27,553 | 34 | Title: Simple Analysis of Priority Sampling
Abstract: We prove a tight upper bound on the variance of the priority sampling method (aka sequential Poisson sampling). Our proof is significantly shorter and simpler than the original proof given by Mario Szegedy at STOC 2006, which resolved a conjecture by Duffield, Lund,... | [] | Test |
27,554 | 6 | Title: Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer
Abstract: nan | [
28811,
38919,
43823
] | Train |
27,555 | 16 | Title: HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models
Abstract: Human-Object Interaction (HOI) detection aims to localize human-object pairs and recognize their interactions. Recently, Contrastive Language-Image Pre-training (CLIP) has shown great potential in providing interaction ... | [
13660,
17630,
5422
] | Train |
27,556 | 17 | Title: Creative NFT-Copyrighted AR Face Mask Authoring Using Unity3D Editor
Abstract: In this paper, we extend well-designed 3D face masks into AR face masks and demonstrate the possibility of transforming this into an NFT-copyrighted AR face mask that helps authenticate the ownership of the AR mask user so as to impro... | [
27821
] | Train |
27,557 | 16 | Title: [CLS] Token is All You Need for Zero-Shot Semantic Segmentation
Abstract: In this paper, we propose an embarrassingly simple yet highly effective zero-shot semantic segmentation (ZS3) method, based on the pre-trained vision-language model CLIP. First, our study provides a couple of key discoveries: (i) the globa... | [] | Test |
27,558 | 30 | Title: Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases
Abstract: As the representation capability of Pre-trained Language Models (PLMs) improve, there is growing concern that they will inherit social biases from unprocessed corpora. Most previous debiasing... | [
12424
] | Train |
27,559 | 16 | Title: Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentation
Abstract: The vast majority of people who suffer unexpected cardiac arrest are performed cardiopulmonary resuscitation (CPR) by passersby in a desperate attempt to restore life, but endea... | [] | Train |
27,560 | 16 | Title: HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising
Abstract: Hyperspectral image (HSI) denoising is essentially ill-posed since a noisy HSI can be degraded from multiple clean HSIs. However, current deep learning-based approaches ignore this fact and restore the clean image with deterministi... | [] | Train |
27,561 | 30 | Title: Using Language Models to Detect Alarming Student Responses
Abstract: This article details the advances made to a system that uses artificial intelligence to identify alarming student responses. This system is built into our assessment platform to assess whether a student's response indicates they are a threat to... | [] | Validation |
27,562 | 24 | Title: Learning from Noisy Crowd Labels with Logics
Abstract: This paper explores the integration of symbolic logic knowledge into deep neural networks for learning from noisy crowd labels. We introduce Logic-guided Learning from Noisy Crowd Labels (Logic-LNCL), an EM-alike iterative logic knowledge distillation framew... | [
23500
] | Train |
27,563 | 23 | Title: In-IDE Generation-based Information Support with a Large Language Model
Abstract: Understanding code is challenging, especially when working in new and complex development environments. Code comments and documentation can help, but are typically scarce or hard to navigate. Large language models (LLMs) are revolu... | [
39466,
23276,
593,
3314,
39547,
8540
] | Train |
27,564 | 5 | Title: Fair k-Center: a Coreset Approach in Low Dimensions
Abstract: Center-based clustering techniques are fundamental in some areas of machine learning such as data summarization. Generic $k$-center algorithms can produce biased cluster representatives so there has been a recent interest in fair $k$-center clustering... | [
33652
] | Train |
27,565 | 26 | Title: Patterns and Pathways: Applying Social Network Analysis to Understand User Behavior in the Tourism Industry Websites
Abstract: The contemporary tourism landscape is undergoing rapid digitization, necessitating a nuanced comprehension of online user behavior to guide data-driven decision-making. This research bri... | [
5851,
26053
] | Validation |
27,566 | 31 | Title: Frequency Enhanced Hybrid Attention Network for Sequential Recommendation
Abstract: The self-attention mechanism, which equips with a strong capability of modeling long-range dependencies, is one of the extensively used techniques in the sequential recommendation field. However, many recent studies represent tha... | [
2994
] | Train |
27,567 | 27 | Title: Control Barrier Functions in Dynamic UAVs for Kinematic Obstacle Avoidance: A Collision Cone Approach
Abstract: Unmanned aerial vehicles (UAVs), specifically quadrotors, have revolutionized various industries with their maneuverability and versatility, but their safe operation in dynamic environments heavily rel... | [
4453
] | Train |
27,568 | 16 | Title: Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
Abstract: Despite recent advances in 3D human mesh reconstruction, domain gap between training and test data is still a major challenge. Several prior works tackle the domain gap problem via test-time adaptation that fine-tunes a net... | [] | Train |
27,569 | 30 | Title: Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark
Abstract: Recent model editing techniques promise to mitigate the problem of memorizing false or outdated associations during LLM training. However, we show that these techniques can introduce large unwanted side effects which ar... | [
18065,
37411,
14219
] | Train |
27,570 | 24 | Title: How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?
Abstract: Satellite Earth observations (EO) can provide affordable and timely information for assessing crop conditions and food production. Such monitoring systems are essential in Africa, where there is high food insecurity and sp... | [] | Train |
27,571 | 16 | Title: Joint Depth Estimation and Mixture of Rain Removal From a Single Image
Abstract: Rainy weather significantly deteriorates the visibility of scene objects, particularly when images are captured through outdoor camera lenses or windshields. Through careful observation of numerous rainy photos, we have found that t... | [] | Train |
27,572 | 16 | Title: Vision Language Transformers: A Survey
Abstract: Vision language tasks, such as answering questions about or generating captions that describe an image, are difficult tasks for computers to perform. A relatively recent body of research has adapted the pretrained transformer architecture introduced in \citet{vasw... | [
10624,
22114,
21621,
13564,
19263
] | Test |
27,573 | 4 | Title: IoMT-Blockchain based Secured Remote Patient Monitoring Framework for Neuro-Stimulation Device
Abstract: Biomedical Engineering's Internet of Medical Things (IoMT) is helping to improve the accuracy, dependability, and productivity of electronic equipment in the healthcare business. Real-time sensory data from p... | [] | Validation |
27,574 | 6 | Title: Understanding How Low Vision People Read Using Eye Tracking
Abstract: While being able to read with screen magnifiers, low vision people have slow and unpleasant reading experiences. Eye tracking has the potential to improve their experience by recognizing fine-grained gaze behaviors and providing more targeted ... | [] | Train |
27,575 | 16 | Title: NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads
Abstract: We focus on reconstructing high-fidelity radiance fields of human heads, capturing their animations over time, and synthesizing re-renderings from novel viewpoints at arbitrary time steps. To this end, we propose a new multi-view captur... | [
11206,
21771,
25838,
30457,
13308,
9565
] | Validation |
27,576 | 1 | Title: TACOformer: Token-channel compounded Cross Attention for Multimodal Emotion Recognition
Abstract: Recently, emotion recognition based on physiological signals has emerged as a field with intensive research. The utilization of multi-modal, multi-channel physiological signals has significantly improved the perform... | [] | Train |
27,577 | 24 | Title: Guiding Online Reinforcement Learning with Action-Free Offline Pretraining
Abstract: Offline RL methods have been shown to reduce the need for environment interaction by training agents using offline collected episodes. However, these methods typically require action information to be logged during data collecti... | [
40332
] | Validation |
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