node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
15,678 | 28 | Title: On the Impact of an IRS on the Out-of-Band Performance in Sub-6 GHz & mmWave Frequencies
Abstract: Intelligent reflecting surfaces (IRSs) were introduced to enhance the performance of wireless communication systems. However, from a service provider's viewpoint, a concern with the use of an IRS is its effect on o... | [] | Validation |
15,679 | 27 | Title: Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned Deformable Object Rearranging Task
Abstract: Rearranging deformable objects is a long-standing challenge in robotic manipulation for the high dimensionality of configuration space and the complex dynamics of deformable objects. We present a no... | [
16816
] | Test |
15,680 | 16 | Title: Fine-grained 3D object recognition: an approach and experiments
Abstract: Three-dimensional (3D) object recognition technology is being used as a core technology in advanced technologies such as autonomous driving of automobiles. There are two sets of approaches for 3D object recognition: (i) hand-crafted approa... | [] | Train |
15,681 | 24 | Title: Learning to Generate All Feasible Actions
Abstract: Several machine learning (ML) applications are characterized by searching for an optimal solution to a complex task. The search space for this optimal solution is often very large, so large in fact that this optimal solution is often not computable. Part of the... | [] | Train |
15,682 | 16 | Title: Full-Body Cardiovascular Sensing with Remote Photoplethysmography
Abstract: Remote photoplethysmography (rPPG) allows for non-contact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored t... | [
22249
] | Train |
15,683 | 1 | Title: EMID: An Emotional Aligned Dataset in Audio-Visual Modality
Abstract: In this paper, we propose Emotionally paired Music and Image Dataset (EMID), a novel dataset designed for the emotional matching of music and images, to facilitate auditory-visual cross-modal tasks such as generation and retrieval. Unlike exis... | [
23545,
13186,
16387,
22334
] | Train |
15,684 | 16 | Title: Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning
Abstract: We propose a novel semi-supervised active learning (SSAL) framework for monocular 3D object detection with LiDAR guidance (MonoLiG), which leverages all modalities of collected data during model development. We utilize LiDA... | [] | Test |
15,685 | 10 | Title: Regulatory Markets: The Future of AI Governance
Abstract: Appropriately regulating artificial intelligence is an increasingly urgent policy challenge. Legislatures and regulators lack the specialized knowledge required to best translate public demands into legal requirements. Overreliance on industry self-regula... | [
32410,
45923
] | Train |
15,686 | 2 | Title: A topological counterpart of well-founded trees in dependent type theory
Abstract: Within dependent type theory, we provide a topological counterpart of well-founded trees (for short, W-types) by using a proof-relevant version of the notion of inductively generated suplattices introduced in the context of formal... | [] | Train |
15,687 | 16 | Title: TrackFlow: Multi-Object Tracking with Normalizing Flows
Abstract: The field of multi-object tracking has recently seen a renewed interest in the good old schema of tracking-by-detection, as its simplicity and strong priors spare it from the complex design and painful babysitting of tracking-by-attention approach... | [] | Train |
15,688 | 16 | Title: Adaptive Growth: Real-time CNN Layer Expansion
Abstract: Deep Neural Networks (DNNs) have shown unparalleled achievements in numerous applications, reflecting their proficiency in managing vast data sets. Yet, their static structure limits their adaptability in ever-changing environments. This research presents ... | [] | Train |
15,689 | 3 | Title: Thriving Innovation Ecosystems: Synergy Among Stakeholders, Tools, and People
Abstract: An innovation ecosystem is a multi-stakeholder environment, where different stakeholders interact to solve complex socio-technical challenges. We explored how stakeholders use digital tools, human resources, and their combina... | [] | Train |
15,690 | 6 | Title: Methodological reflections for AI alignment research using human feedback
Abstract: – The field of artificial intelligence (AI) alignment aims to investigate whether AI technologies align with human interests and values and function in a safe and ethical manner. AI alignment is particularly relevant for large la... | [] | Train |
15,691 | 31 | Title: Keyword decisions in sponsored search advertising: A literature review and research agenda
Abstract: nan | [
42939
] | Validation |
15,692 | 30 | Title: Offline Prompt Evaluation and Optimization with Inverse Reinforcement Learning
Abstract: The recent advances in the development of Large Language Models (LLMs) like ChatGPT have achieved remarkable performance by leveraging human expertise. Yet, fully eliciting LLMs' potential for complex tasks requires navigati... | [
40610,
33220,
40135,
36392,
18767,
1528,
43641,
41053,
27679
] | Train |
15,693 | 2 | Title: Alternating (In)Dependence-Friendly Logic
Abstract: Hintikka and Sandu originally proposed Independence Friendly Logic (IF) as a first-order logic of imperfect information to describe game-theoretic phenomena underlying the semantics of natural language. The logic allows for expressing independence constraints a... | [] | Validation |
15,694 | 28 | Title: Stronger Polarization for the Deletion Channel
Abstract: In this paper we show a polar coding scheme for the deletion channel with a probability of error that decays roughly like ${2^{ - \sqrt \lambda }}$ , where Λ is the length of the codeword. That is, the same decay rate as that of seminal polar codes for mem... | [] | Train |
15,695 | 16 | Title: ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Abstract: Diffusion models show promising generation capability for a variety of data. Despite their high generation quality, the inference for diffusion models is still time-consuming due to the numerous sampling iterations required. To ... | [
8876
] | Train |
15,696 | 16 | Title: LossMix: Simplify and Generalize Mixup for Object Detection and Beyond
Abstract: The success of data mixing augmentations in image classification tasks has been well-received. However, these techniques cannot be readily applied to object detection due to challenges such as spatial misalignment, foreground/backgr... | [
17596,
27247
] | Test |
15,697 | 11 | Title: HoLA Robots: Mitigating Plan-Deviation Attacks in Multi-Robot Systems with Co-Observations and Horizon-Limiting Announcements
Abstract: Emerging multi-robot systems rely on cooperation between humans and robots, with robots following automatically generated motion plans to service application-level tasks. Given ... | [] | Train |
15,698 | 16 | Title: Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
Abstract: Predicting attention regions of interest is an important yet challenging task for self-driving systems. Existing methodologies rely on large-scale labeled traffic datasets that are labor-intensive to obtain. B... | [] | Validation |
15,699 | 24 | Title: Modeling Label Semantics Improves Activity Recognition
Abstract: Human activity recognition (HAR) aims to classify sensory time series into different activities, with wide applications in activity tracking, healthcare, human computer interaction, etc. Existing HAR works improve recognition performance by designi... | [
11273
] | Validation |
15,700 | 8 | Title: GT-TSCH: Game-Theoretic Distributed TSCH Scheduler for Low-Power IoT Networks
Abstract: Time-Slotted Channel Hopping (TSCH) is a synchronous medium access mode of the IEEE 802.15.4e standard designed for providing low-latency and highly-reliable end-to-end communication. TSCH constructs a communication schedule ... | [] | Validation |
15,701 | 15 | Title: Benchmarking and modeling of analog and digital SRAM in-memory computing architectures
Abstract: In-memory-computing is emerging as an efficient hardware paradigm for deep neural network accelerators at the edge, enabling to break the memory wall and exploit massive computational parallelism. Two design models h... | [] | Train |
15,702 | 6 | Title: The Importance of the Signal/Noise Distinction for Eye Movement Biometric Performance
Abstract: Prior research states that sine-wave frequencies below 100 Hz carry the eye movement signal, and frequencies above 100 Hz can be considered noise. Here, we explore the biometric implications of this signal/noise disti... | [
28537,
21941
] | Validation |
15,703 | 10 | Title: Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization
Abstract: By combining related objects, unsupervised machine learning techniques aim to reveal the underlying patterns in a data set. Non-negative Matrix Factorization (NMF) is a data mining technique that splits data matrices by imposi... | [] | Test |
15,704 | 30 | Title: Fine-tuning Large Enterprise Language Models via Ontological Reasoning
Abstract: Large Language Models (LLMs) exploit fine-tuning as a technique to adapt to diverse goals, thanks to task-specific training data. Task specificity should go hand in hand with domain orientation, that is, the specialization of an LLM... | [
24308
] | Train |
15,705 | 28 | Title: The $\ell$-intersection Pairs of Constacyclic and Conjucyclic Codes
Abstract: A pair of linear codes whose intersection is of dimension $\ell$, where $\ell$ is a non-negetive integer, is called an $\ell$-intersection pair of codes. This paper focuses on studying $\ell$-intersection pairs of $\lambda_i$-constacyc... | [] | Train |
15,706 | 24 | Title: AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
Abstract: AutoML has demonstrated remarkable success in finding an effective neural architecture for a given machine learning task defined by a specific dataset and an evaluation metric. However, most present AutoML techniques... | [] | Validation |
15,707 | 24 | Title: An ODE Model for Dynamic Matching in Heterogeneous Networks
Abstract: We study the problem of dynamic matching in heterogeneous networks, where agents are subject to compatibility restrictions and stochastic arrival and departure times. In particular, we consider networks with one type of easy-to-match agents an... | [] | Test |
15,708 | 37 | Title: A General Framework for Progressive Data Compression and Retrieval
Abstract: In scientific simulations, observations, and experiments, the cost of transferring data to and from disk and across networks has become a significant bottleneck that particularly impacts subsequent data analysis and visualization. To ad... | [] | Test |
15,709 | 30 | Title: Is ChatGPT a Biomedical Expert? - Exploring the Zero-Shot Performance of Current GPT Models in Biomedical Tasks
Abstract: We assessed the performance of commercial Large Language Models (LLMs) GPT-3.5-Turbo and GPT-4 on tasks from the 2023 BioASQ challenge. In Task 11b Phase B, which is focused on answer generat... | [
8106,
4108,
5815,
15325,
29375
] | Train |
15,710 | 24 | Title: Attention Boosted Autoencoder for Building Energy Anomaly Detection
Abstract: Leveraging data collected from smart meters in buildings can aid in developing policies towards energy conservation. Significant energy savings could be realised if deviations in the building operating conditions are detected early, an... | [] | Train |
15,711 | 16 | Title: VIGC: Visual Instruction Generation and Correction
Abstract: The integration of visual encoders and large language models (LLMs) has driven recent progress in multimodal large language models (MLLMs). However, the scarcity of high-quality instruction-tuning data for vision-language tasks remains a challenge. The... | [
10624,
13345,
37987,
13700,
41104,
36689,
45685,
5720,
13564,
27454
] | Train |
15,712 | 24 | Title: Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
Abstract: Modern predictive models are often deployed to environments in which computational budgets are dynamic. Anytime algorithms are well-suited to such environments as, at any point during computation, they can ... | [
26452
] | Train |
15,713 | 16 | Title: IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Abstract: Recent years have witnessed the strong power of large text-to-image diffusion models for the impressive generative capability to create high-fidelity images. However, it is very tricky to generate desired images using o... | [
10624,
21125,
36741,
11820,
38894,
15983,
41104,
27282,
34074,
14939
] | Test |
15,714 | 24 | Title: Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios
Abstract: In copolymerization, the monomers’ reactivity ratios play an important role in shaping the final copolymer properties. Thus, the knowledge of reactivity ratio is essential to the polymerization reac... | [] | Test |
15,715 | 25 | Title: Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion
Abstract: Audio Deepfake Detection (ADD) aims to detect the fake audio generated by text-to-speech (TTS), voice conversion (VC) and replay, etc., which is an emerging topic. Traditionally we take the mono signal as input and foc... | [] | Validation |
15,716 | 15 | Title: DSLOT-NN: Digit-Serial Left-to-Right Neural Network Accelerator
Abstract: We propose a Digit-Serial Left-tO-righT (DSLOT) arithmetic based processing technique called DSLOT-NN with aim to accelerate inference of the convolution operation in the deep neural networks (DNNs). The proposed work has the ability to as... | [
21432
] | Train |
15,717 | 16 | Title: SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation
Abstract: Medical image segmentation based on deep learning often fails when deployed on images from a different domain. The domain adaptation methods aim to solve domain-shift challenges, but still face some problems. The trans... | [] | Train |
15,718 | 16 | Title: Multi-target multi-camera vehicle tracking using transformer-based camera link model and spatial-temporal information
Abstract: Multi-target multi-camera tracking (MTMCT) of vehicles, i.e. tracking vehicles across multiple cameras, is a crucial application for the development of smart city and intelligent traffi... | [
9866,
7230
] | Train |
15,719 | 28 | Title: Energy-Optimal Sampling for Edge Computing Feedback Systems: Aperiodic Case
Abstract: We study the problem of optimal sampling in an edge-based video analytics system (VAS), where sensor samples collected at a terminal device are offloaded to a back-end server that processes them and generates feedback for a use... | [] | Validation |
15,720 | 24 | Title: Online Learning with Costly Features in Non-stationary Environments
Abstract: Maximizing long-term rewards is the primary goal in sequential decision-making problems. The majority of existing methods assume that side information is freely available, enabling the learning agent to observe all features' states bef... | [] | Train |
15,721 | 16 | Title: HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
Abstract: In this paper, we study Text-to-3D content generation leveraging 2D diffusion priors to enhance the quality and detail of the generated 3D models. Recent progress (Magic3D) in text-to-3D has shown that employing high-resolut... | [
3912,
34074,
37692,
20949
] | Train |
15,722 | 16 | Title: SpinDOE: A ball spin estimation method for table tennis robot
Abstract: Spin plays a considerable role in table tennis, making a shot's trajectory harder to read and predict. However, the spin is challenging to measure because of the ball's high velocity and the magnitude of the spin values. Existing methods eit... | [] | Train |
15,723 | 34 | Title: Faster Submodular Maximization for Several Classes of Matroids
Abstract: The maximization of submodular functions have found widespread application in areas such as machine learning, combinatorial optimization, and economics, where practitioners often wish to enforce various constraints; the matroid constraint h... | [
34863
] | Train |
15,724 | 24 | Title: The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs
Abstract: The successes of foundation models such as ChatGPT and AlphaFold have spurred significant interest in building similar models for electronic medical records (EMRs) to improve patient ca... | [
42272,
15301,
9840,
4945,
42908,
38141
] | Test |
15,725 | 24 | Title: Phased Deep Spatio-temporal Learning for Highway Traffic Volume Prediction
Abstract: Inter-city highway transportation is significant for citizens' modern urban life and generates heterogeneous sensory data with spatio-temporal characteristics. As a routine analysis in transportation domain, daily traffic volume... | [] | Train |
15,726 | 24 | Title: Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure
Abstract: We consider offline Reinforcement Learning (RL), where the agent does not interact with the environment and must rely on offline data collected using a behavior policy. Previous works provide policy evaluation guarantees when ... | [] | Validation |
15,727 | 16 | Title: Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Abstract: Denoising diffusion probabilistic models (DDPMs) are a class of powerful generative models. The past few years have witnessed the great success of DDPMs in generating high-fidelity samples. A significant limitation ... | [] | Test |
15,728 | 9 | Title: The iteration time and the general position number in graph convexities
Abstract: In this paper, we study two graph convexity parameters: iteration time and general position number. The iteration time was defined in 1981 in the geodesic convexity, but its computational complexity was still open. The general posi... | [] | Validation |
15,729 | 27 | Title: Fast Anticipatory Motion Planning for Close-Proximity Human-Robot Interaction
Abstract: Effective close-proximity human-robot interaction (CP-HRI) requires robots to be able to both efficiently perform tasks as well as adapt to human behavior and preferences. However, this ability is mediated by many, sometimes ... | [] | Test |
15,730 | 36 | Title: Equilibrium Analysis of Customer Attraction Games
Abstract: We introduce a game model called"customer attraction game"to demonstrate the competition among online content providers. In this model, customers exhibit interest in various topics. Each content provider selects one topic and benefits from the attracted... | [] | Validation |
15,731 | 23 | Title: Teaching MLOps in Higher Education through Project-Based Learning
Abstract: Building and maintaining production-grade ML-enabled components is a complex endeavor that goes beyond the current approach of academic education, focused on the optimization of ML model performance in the lab. In this paper, we present ... | [
22158
] | Train |
15,732 | 8 | Title: Enhanced Access Traffic Steering Splitting Switching with Utility-Based Decisioning
Abstract: Coexistence of 3GPP access networks, namely 4G and 5G, and non-3GPP access networks, namely Wi-Fi, has enabled data offloading from one access network to another to reduce burden on the congested network. Within the evo... | [] | Train |
15,733 | 24 | Title: Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making
Abstract: Decisions made by machine learning models may have lasting impacts over time, making long-term fairness a crucial consideration. It has been shown that when ignoring the long-term effect, naively imposing fairn... | [
2988,
24828
] | Train |
15,734 | 4 | Title: Adversarial Attacks on Leakage Detectors in Water Distribution Networks
Abstract: Many Machine Learning models are vulnerable to adversarial attacks: There exist methodologies that add a small (imperceptible) perturbation to an input such that the model comes up with a wrong prediction. Better understanding of s... | [] | Train |
15,735 | 13 | Title: Game of Intelligent Life
Abstract: Cellular automata captivate researchers due to the emergent, complex individualized behavior that simple global rules of interaction enact. Recent advances in the field have combined cellular automata with convolutional neural networks to achieve self-regenerating images. This n... | [] | Test |
15,736 | 1 | Title: Edge-Assisted On-Device Model Update for Video Analytics in Adverse Environments
Abstract: While large deep neural networks excel at general video analytics tasks, the significant demand on computing capacity makes them infeasible for real-time inference on resource-constrained end cam-eras. In this paper, we pr... | [
19256,
38267
] | Train |
15,737 | 16 | Title: A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing
Abstract: Recently, deep learning-based compressed sensing (CS) has achieved great success in reducing the sampling and computational cost of sensing systems and improving the reconstruction quality. These approaches, however, largely ov... | [] | Validation |
15,738 | 24 | Title: Toward Transparent Sequence Models with Model-Based Tree Markov Model
Abstract: In this study, we address the interpretability issue in complex, black-box Machine Learning models applied to sequence data. We introduce the Model-Based tree Hidden Semi-Markov Model (MOB-HSMM), an inherently interpretable model aim... | [] | Validation |
15,739 | 30 | Title: WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction
Abstract: Most existing word alignment methods rely on manual alignment datasets or parallel corpora, which limits their usefulness. Here, to mitigate the dependence on manual data, we broaden the source of supervision by rel... | [] | Train |
15,740 | 10 | Title: A Categorical Representation Language and Computational System for Knowledge-Based Planning
Abstract: Classical planning representation languages based on first-order logic have been extensively used to model and solve planning problems, but they struggle to capture implicit preconditions and effects that arise ... | [] | Train |
15,741 | 23 | Title: A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation
Abstract: The fairness of machine learning (ML) approaches is critical to the reliability of modern artificial intelligence systems. Despite extensive study on this topic, the fairness of ML models in the software engineering (SE) do... | [] | Test |
15,742 | 28 | Title: Model-Driven Sensing-Node Selection and Power Allocation for Tracking Maneuvering Targets in Perceptive Mobile Networks
Abstract: Maneuvering target tracking will be an important service of future wireless networks to assist innovative applications such as intelligent transportation. However, tracking maneuverin... | [] | Train |
15,743 | 27 | Title: Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
Abstract: Articulated object manipulation is a fundamental yet challenging task in robotics. Due to significant geometric and semantic variations across object categories, previous manipulation models struggle to gener... | [
40485,
29895,
28244,
18486,
24057,
11196,
8925
] | Validation |
15,744 | 30 | Title: Do predictability factors towards signing avatars hold across cultures?
Abstract: Avatar technology can offer accessibility possibilities and improve the Deaf-and-Hard of Hearing sign language users access to communication, education and services, such as the healthcare system. However, sign language users accep... | [] | Train |
15,745 | 30 | Title: ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
Abstract: Text-to-image models are trained on extensive amounts of data, leading them to implicitly encode factual knowledge within their parameters. While some facts are useful, others may be incorrect or become outdated (e.g., the current Presid... | [
30737,
37916,
27301
] | Train |
15,746 | 23 | Title: PHYFU: Fuzzing Modern Physics Simulation Engines
Abstract: A physical simulation engine (PSE) is a software system that simulates physical environments and objects. Modern PSEs feature both forward and backward simulations, where the forward phase predicts the behavior of a simulated system, and the backward pha... | [] | Test |
15,747 | 9 | Title: Bounds on Depth of Decision Trees Derived from Decision Rule Systems
Abstract: Systems of decision rules and decision trees are widely used as a means for knowledge representation, as classifiers, and as algorithms. They are among the most interpretable models for classifying and representing knowledge. The stud... | [
12389,
41719
] | Validation |
15,748 | 31 | Title: Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems
Abstract: Recommender system is a widely adopted technology in a diversified class of product lines. Modern day recommender system approaches include matrix factorization, learning to rank and ... | [
6102
] | Test |
15,749 | 4 | Title: Lattice-Aided Extraction of Spread-Spectrum Hidden Data
Abstract: This paper discusses the problem of extracting spread spectrum hidden data from the perspective of lattice decoding. Since the conventional blind extraction scheme multi-carrier iterative generalize least-squares (M-IGLS) and non-blind extraction ... | [] | Train |
15,750 | 16 | Title: Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving
Abstract: 3D object detection is an essential perception task in autonomous driving to understand the environments. The Bird's-Eye-View (BEV) representations have significantly improved the performance of 3D ... | [
41680,
16728
] | Train |
15,751 | 28 | Title: Rate-Splitting Multiple Access for 6G Networks: Ten Promising Scenarios and Applications
Abstract: In the upcoming 6G era, multiple access (MA) will play an essential role in achieving high throughput performances required in a wide range of wireless applications. Since MA and interference management are closely... | [
11845
] | Train |
15,752 | 23 | Title: Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition
Abstract: Scenario-based testing is becoming increasingly important in safety assurance for automated driving. However, comprehensive and sufficiently complete coverage of the scenario space require... | [] | Train |
15,753 | 24 | Title: GNN-Ensemble: Towards Random Decision Graph Neural Networks
Abstract: Graph Neural Networks (GNNs) have enjoyed wide spread applications in graph-structured data. However, existing graph based applications commonly lack annotated data. GNNs are required to learn latent patterns from a limited amount of training ... | [] | Train |
15,754 | 24 | Title: Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Abstract: Multi-objective learning (MOL) problems often arise in emerging machine learning problems when there are multiple learning criteria or multiple learning tasks. Recent works have developed various dynami... | [] | Train |
15,755 | 24 | Title: Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks
Abstract: In recurrent neural networks, learning long-term dependency is the main difficulty due to the vanishing and exploding gradient problem. Many researchers are dedicated to solving this issue and they proposed many algorithms. Althoug... | [] | Train |
15,756 | 9 | Title: Representing Matroids over the Reals is $\exists \mathbb R$-complete
Abstract: A matroid $M$ is an ordered pair $(E,I)$, where $E$ is a finite set called the ground set and a collection $I\subset 2^{E}$ called the independent sets which satisfy the conditions: (I1) $\emptyset \in I$, (I2) $I'\subset I \in I$ imp... | [] | Train |
15,757 | 23 | Title: TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
Abstract: Code pre-trained models (CodePTMs) have recently demonstrated a solid capacity to process various software intelligence tasks, e.g., code clone detection, code translation, and code summarization. The current... | [
33490,
42523
] | Test |
15,758 | 16 | Title: Deep Learning-based Spatio Temporal Facial Feature Visual Speech Recognition
Abstract: In low-resource computing contexts, such as smartphones and other tiny devices, Both deep learning and machine learning are being used in a lot of identification systems. as authentication techniques. The transparent, contactl... | [
13628,
28695
] | Train |
15,759 | 16 | Title: Reconstructing Sea Surface Temperature Images: A Masked Autoencoder Approach for Cloud Masking and Reconstruction
Abstract: This thesis presents a new algorithm to mitigate cloud masking in the analysis of sea surface temperature (SST) data generated by remote sensing technologies, e.g., Clouds interfere with th... | [] | Train |
15,760 | 16 | Title: Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
Abstract: Semi-supervised semantic segmentation (SSS) is an important task that utilizes both labeled and unlabeled data to reduce expenses on labeling training examples. However, the effectiveness of SSS algorithms is limi... | [] | Train |
15,761 | 30 | Title: Sentence Identification with BOS and EOS Label Combinations
Abstract: The sentence is a fundamental unit in many NLP applications. Sentence segmentation is widely used as the first preprocessing task, where an input text is split into consecutive sentences considering the end of the sentence (EOS) as their bound... | [] | Validation |
15,762 | 24 | Title: Early Classifying Multimodal Sequences
Abstract: Often pieces of information are received sequentially over time. When did one collect enough such pieces to classify? Trading wait time for decision certainty leads to early classification problems that have recently gained attention as a means of adapting classif... | [
20333
] | Train |
15,763 | 24 | Title: Core-based Trend Detection in Blockchain Networks
Abstract: Blockchains are now significantly easing trade finance, with billions of dollars worth of assets being transacted daily. However, analyzing these networks remains challenging due to the large size and complexity of the data. We introduce a scalable appr... | [] | Train |
15,764 | 18 | Title: Integrated Photonic AI Accelerators under Hardware Security Attacks: Impacts and Countermeasures
Abstract: Integrated photonics based on silicon photonics platform is driving several application domains, from enabling ultra-fast chip-scale communication in high-performance computing systems to energy-efficient o... | [] | Train |
15,765 | 24 | Title: Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction
Abstract: Existing traffic signal control systems rely on oversimplified rule-based methods, and even RL-based methods are often suboptimal and unstable. To address this, we propose a cooperative multi-obj... | [] | Validation |
15,766 | 24 | Title: Over-the-Air Federated Learning In Broadband Communication
Abstract: Federated learning (FL) is a privacy-preserving distributed machine learning paradigm that operates at the wireless edge. It enables clients to collaborate on model training while keeping their data private from adversaries and the central serv... | [] | Test |
15,767 | 30 | Title: Large language models predict human sensory judgments across six modalities
Abstract: Determining the extent to which the perceptual world can be recovered from language is a longstanding problem in philosophy and cognitive science. We show that state-of-the-art large language models can unlock new insights into... | [
8580
] | Train |
15,768 | 16 | Title: Hybrid Open-set Segmentation with Synthetic Negative Data
Abstract: Open-set segmentation is often conceived by complementing closed-set classification with anomaly detection. Existing dense anomaly detectors operate either through generative modelling of regular training data or by discriminating with respect t... | [
36952,
4356,
40540
] | Train |
15,769 | 30 | Title: InfoSync: Information Synchronization across Multilingual Semi-structured Tables
Abstract: Information Synchronization of semi-structured data across languages is challenging. For instance, Wikipedia tables in one language should be synchronized across languages. To address this problem, we introduce a new datas... | [] | Train |
15,770 | 24 | Title: Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models
Abstract: To safely deploy deep learning-based computer vision models for computer-aided detection and diagnosis, we must ensure that they are robust and reliable. Towards that goal, algorithmic auditing has received substan... | [] | Validation |
15,771 | 30 | Title: Revisiting Sample Size Determination in Natural Language Understanding
Abstract: Knowing exactly how many data points need to be labeled to achieve a certain model performance is a hugely beneficial step towards reducing the overall budgets for annotation. It pertains to both active learning and traditional data... | [] | Train |
15,772 | 16 | Title: Text-based Person Search without Parallel Image-Text Data
Abstract: Text-based person search (TBPS) aims to retrieve the images of the target person from a large image gallery based on a given natural language description. Existing methods are dominated by training models with parallel image-text pairs, which ar... | [
40165,
557
] | Test |
15,773 | 27 | Title: Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space
Abstract: Motion planning framed as optimisation in structured latent spaces has recently emerged as competitive with traditional methods in terms of planning success while significantly outperforming them in terms of computational sp... | [
23246
] | Test |
15,774 | 24 | Title: Lookbehind Optimizer: k steps back, 1 step forward
Abstract: The Lookahead optimizer improves the training stability of deep neural networks by having a set of fast weights that"look ahead"to guide the descent direction. Here, we combine this idea with sharpness-aware minimization (SAM) to stabilize its multi-st... | [
23752
] | Train |
15,775 | 16 | Title: Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution
Abstract: Color-guided depth super-resolution (DSR) is an encouraging paradigm that enhances a low-resolution (LR) depth map guided by an extra high-resolution (HR) RGB image from the same scene. Existing methods usually use interpolatio... | [
45506,
45962
] | Train |
15,776 | 16 | Title: Weakly-Supervised Conditional Embedding for Referred Visual Search
Abstract: This paper presents a new approach to image similarity search in the context of fashion, a domain with inherent ambiguity due to the multiple ways in which images can be considered similar. We introduce the concept of Referred Visual Se... | [
10624,
28526
] | Train |
15,777 | 16 | Title: Automatic Detection of Natural Disaster Effect on Paddy Field from Satellite Images Using Deep Learning Techniques
Abstract: This paper aims to detect rice field damage from natural disasters in Bangladesh using high-resolution satellite imagery. The authors developed ground truth data for rice field damage from... | [] | Test |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.