node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
44,578 | 16 | Title: RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset
Abstract: In recent years, raw video denoising has garnered increased attention due to the consistency with the imaging process and well-studied noise modeling in the raw domain. However, two problems still hinder the denoisin... | [] | Train |
44,579 | 4 | Title: Black-Box Attacks against Signed Graph Analysis via Balance Poisoning
Abstract: Signed graphs are well-suited for modeling social networks as they capture both positive and negative relationships. Signed graph neural networks (SGNNs) are commonly employed to predict link signs (i.e., positive and negative) in su... | [] | Train |
44,580 | 31 | Title: Système de recommandations basé sur les contraintes pour les simulations de gestion de crise
Abstract: In the context of the evacuation of populations, some citizens/volunteers may want and be able to participate in the evacuation of populations in difficulty by coming to lend a hand to emergency/evacuation vehi... | [] | Validation |
44,581 | 30 | Title: An Evaluation of Persian-English Machine Translation Datasets with Transformers
Abstract: Nowadays, many researchers are focusing their attention on the subject of machine translation (MT). However, Persian machine translation has remained unexplored despite a vast amount of research being conducted in languages... | [
26462
] | Test |
44,582 | 30 | Title: Impact of translation on biomedical information extraction from real-life clinical notes
Abstract: The objective of our study is to determine whether using English tools to extract and normalize French medical concepts on translations provides comparable performance to French models trained on a set of annotated... | [] | Train |
44,583 | 27 | Title: Tactile Tool Manipulation
Abstract: Humans can effortlessly perform very complex, dexterous manipulation tasks by reacting to sensor observations. In contrast, robots can not perform reactive manipulation and they mostly operate in open-loop while interacting with their environment. Consequently, the current man... | [
30938,
43699
] | Train |
44,584 | 10 | Title: Flows: Building Blocks of Reasoning and Collaborating AI
Abstract: Recent advances in artificial intelligence (AI) have produced highly capable and controllable systems. This creates unprecedented opportunities for structured reasoning as well as collaboration among multiple AI systems and humans. To fully reali... | [
40610,
13700,
33220,
45242,
19472,
43641,
22578,
6963,
1401,
634,
17789
] | Train |
44,585 | 16 | Title: LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation
Abstract: Recently, diffusion models have achieved great success in image synthesis. However, when it comes to the layout-to-image generation where an image often has a complex scene of multiple objects, how to make strong control over ... | [
44736,
33932,
20624,
20474,
16381
] | Test |
44,586 | 4 | Title: Block-Wise Encryption for Reliable Vision Transformer models
Abstract: This article presents block-wise image encryption for the vision transformer and its applications. Perceptual image encryption for deep learning enables us not only to protect the visual information of plain images but to also embed unique fe... | [
2060
] | Train |
44,587 | 24 | Title: THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
Abstract: Deep neural networks (DNNs) are the de-facto standard for essential use cases, such as image classification, computer vision, and natural language processing. As DNNs and datasets get larger, they require distributed train... | [] | Train |
44,588 | 8 | Title: Watching Stars in Pixels: The Interplay of Traffic Shaping and YouTube Streaming QoE over GEO Satellite Networks
Abstract: Geosynchronous satellite (GEO) networks are a crucial option for users beyond terrestrial connectivity. However, unlike terrestrial networks, GEO networks exhibit high latency and deploy TCP... | [] | Train |
44,589 | 24 | Title: RDGSL: Dynamic Graph Representation Learning with Structure Learning
Abstract: Temporal Graph Networks (TGNs) have shown remarkable performance in learning representation for continuous-time dynamic graphs. However, real-world dynamic graphs typically contain diverse and intricate noise. Noise can significantly ... | [] | Train |
44,590 | 16 | Title: Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection
Abstract: Anomaly detection (AD) in images, identifying significant deviations from normality, is a critical issue in computer vision. This paper introduces a novel approach to dimensionality reduction for AD using pre-trained convolutional ne... | [] | Train |
44,591 | 16 | Title: Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data
Abstract: Label-noise or curated unlabeled data is used to compensate for the assumption of clean labeled data in training the conditional generative adversarial network; however, satisfying such an extended assumption ... | [] | Train |
44,592 | 30 | Title: Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
Abstract: This case study investigates the task of job classification in a real-world setting, where the goal is to determine whether an English-language job posting is appropriate for a graduate or entry-level... | [
43566,
12602,
41570
] | Validation |
44,593 | 16 | Title: ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
Abstract: Recent advancements in text-to-image generation have enabled significant progress in zero-shot 3D shape generation. This is achieved by score distillation, a methodology that uses pre-trained text-to-image diffusion models to optimize the p... | [
26625,
17029,
34074,
42362,
16562,
34167,
14842
] | Validation |
44,594 | 16 | Title: Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Abstract: Cloth-changing person Re-IDentification (Re-ID) is a particularly challenging task, suffering from two limitations of inferior identity-relevant features and limited training samples. Existing methods ma... | [] | Test |
44,595 | 16 | Title: Contextually-rich human affect perception using multimodal scene information
Abstract: The process of human affect understanding involves the ability to infer person specific emotional states from various sources including images, speech, and language. Affect perception from images has predominantly focused on e... | [] | Train |
44,596 | 25 | Title: Tempo vs. Pitch: understanding self-supervised tempo estimation
Abstract: Self-supervision methods learn representations by solving pretext tasks that do not require human-generated labels, alleviating the need for time-consuming annotations. These methods have been applied in computer vision, natural language p... | [] | Train |
44,597 | 24 | Title: Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
Abstract: In this work, we consider the off-policy policy evaluation problem for contextual bandits and finite horizon reinforcement learning in the nonstationary setting. Reusing old data is critical for pol... | [] | Train |
44,598 | 16 | Title: Accelerating Globally Optimal Consensus Maximization in Geometric Vision
Abstract: Branch-and-bound-based consensus maximization stands out due to its important ability of retrieving the globally optimal solution to outlier-affected geometric problems. However, while the discovery of such solutions caries high s... | [] | Train |
44,599 | 24 | Title: How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement
Abstract: Imitation learning aims to mimic the behavior of experts without explicit reward signals. Passive imitation learning methods which use static expert datasets typically suffer from compounding error, low sample efficie... | [] | Test |
44,600 | 30 | Title: CQE: A Comprehensive Quantity Extractor
Abstract: Quantities are essential in documents to describe factual information. They are ubiquitous in application domains such as finance, business, medicine, and science in general. Compared to other information extraction approaches, interestingly only a few works exis... | [
26933
] | Train |
44,601 | 2 | Title: Partial-order Checking with Unfolding for Linear Temporal Properties
Abstract: Unfolding can tackle the path-explosion problem caused by concurrency. Traditional unfolding generation faces an NP-complete problem when adding events to the unfolding structure, which also exists in the case of verifying linear temp... | [
36970
] | Train |
44,602 | 4 | Title: SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data
Abstract: With the advent of digital communication, securing digital images during transmission and storage has become a critical concern. The traditional s-box substitution methods often fail to effectively... | [] | Train |
44,603 | 30 | Title: On the Possibilities of AI-Generated Text Detection
Abstract: Our work focuses on the challenge of detecting outputs generated by Large Language Models (LLMs) to distinguish them from those generated by humans. This ability is of the utmost importance in numerous applications. However, the possibility of such di... | [
31362,
1416,
6410,
20756,
42901,
25367,
22935,
35502,
5174,
32185,
315,
61,
5703,
22476,
38235,
24412,
497,
36341,
36991
] | Train |
44,604 | 24 | Title: Neural Markov Jump Processes
Abstract: Markov jump processes are continuous-time stochastic processes with a wide range of applications in both natural and social sciences. Despite their widespread use, inference in these models is highly non-trivial and typically proceeds via either Monte Carlo or expectation-m... | [] | Train |
44,605 | 16 | Title: Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes
Abstract: Neuroimaging measures of the brain's white matter connections can enable the prediction of non-imaging phenotypes, such as demographic and cognitive measures. Existing works have investigated traditional microstructure and connectiv... | [
35898
] | Validation |
44,606 | 30 | Title: Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction
Abstract: Temporal relation prediction in incomplete temporal knowledge graphs (TKGs) is a popular temporal knowledge graph completion (TKGC) problem in both transductive and inductive settings. Traditiona... | [
31215
] | Train |
44,607 | 31 | Title: Finding Similar Exercises in Retrieval Manner
Abstract: When students make a mistake in an exercise, they can consolidate it by ``similar exercises'' which have the same concepts, purposes and methods. Commonly, for a certain subject and study stage, the size of the exercise bank is in the range of millions to e... | [] | Validation |
44,608 | 16 | Title: Towards Complex Real-World Safety Factory Inspection: A High-Quality Dataset for Safety Clothing and Helmet Detection
Abstract: Safety clothing and helmets play a crucial role in ensuring worker safety at construction sites. Recently, deep learning methods have garnered significant attention in the field of comp... | [] | Train |
44,609 | 27 | Title: Quantifying Uncertainties of Contact Classifications in a Human-Robot Collaboration with Parallel Robots
Abstract: In human-robot collaboration, unintentional physical contacts occur in the form of collisions and clamping, which must be detected and classified separately for a reaction. If certain collision or c... | [
25937,
43810
] | Train |
44,610 | 16 | Title: Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
Abstract: Uncertainty quantification for inverse problems in imaging has drawn much attention lately. Existing approaches towards this task define uncertainty regions based on probable values per pixel, while ignoring sp... | [
23531
] | Test |
44,611 | 6 | Title: Towards Adapting Computer Science Courses to AI Assistants' Capabilities
Abstract: The use of AI assistants, along with the challenges they present, has sparked significant debate within the community of computer science education. While these tools demonstrate the potential to support students' learning and ins... | [
19968,
19315,
8331,
21880
] | Validation |
44,612 | 27 | Title: Object-oriented mapping in dynamic environments
Abstract: Grid maps, especially occupancy grid maps, are ubiquitous in many mobile robot applications. To simplify the process of learning the map, grid maps subdivide the world into a grid of cells, whose occupancies are independently estimated using only measurem... | [] | Train |
44,613 | 15 | Title: Spade: An Expression-Based HDL With Pipelines
Abstract: Spade is a new open source hardware description language (HDL) designed to increase developer productivity without sacrificing the low-level control offered by HDLs. It is a standalone language which takes inspiration from modern software languages, and add... | [
32771
] | Train |
44,614 | 24 | Title: Designing an offline reinforcement learning objective from scratch
Abstract: Offline reinforcement learning has developed rapidly over the recent years, but estimating the actual performance of offline policies still remains a challenge. We propose a scoring metric for offline policies that highly correlates with a... | [] | Validation |
44,615 | 31 | Title: Learning to Personalize Recommendation based on Customers' Shopping Intents
Abstract: Understanding the customers' high level shopping intent, such as their desire to go camping or hold a birthday party, is critically important for an E-commerce platform; it can help boost the quality of shopping experience by e... | [
2881,
14349,
43801
] | Train |
44,616 | 22 | Title: Interval Parsing Grammars for File Format Parsing
Abstract: File formats specify how data is encoded for persistent storage. They cannot be formalized as context-free grammars since their specifications include context-sensitive patterns such as the random access pattern and the type-length-value pattern. We pro... | [] | Test |
44,617 | 8 | Title: Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing
Abstract: Future zero-touch artificial intelligence (AI)-driven 6G network automation requires building trust in the AI black boxes via explainable artificial intelligence (XAI), where it is expected that AI faithfulness would be a quantif... | [] | Train |
44,618 | 16 | Title: A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference
Abstract: Affordance-centric Question-driven Task Completion (AQTC) for Egocentric Assistant introduces a groundbreaking scenario. In this scenario, through learning instructional videos, AI assistants provide users with step-by-ste... | [] | Test |
44,619 | 5 | Title: DistSim: A performance model of large-scale hybrid distributed DNN training
Abstract: With the ever-increasing computational demand of DNN training workloads, distributed training has been widely adopted. A combination of data, model and pipeline parallelism strategy, called hybrid parallelism distributed traini... | [] | Test |
44,620 | 27 | Title: Configuration and Fabrication of Preformed Vine Robots
Abstract: Vine robots are a class of soft continuum robots that grow via tip eversion, allowing them to move their tip without relying on reaction forces from the environment. Constructed from compliant materials such as fabric and thin, flexible plastic, th... | [
32026
] | Test |
44,621 | 16 | Title: Painterly Image Harmonization using Diffusion Model
Abstract: Painterly image harmonization aims to insert photographic objects into paintings and obtain artistically coherent composite images. Previous methods for this task mainly rely on inference optimization or generative adversarial network, but they are ei... | [
18586,
34074,
43223,
15983
] | Train |
44,622 | 24 | Title: SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events
Abstract: Accurate prediction of electric load is crucial in power grid planning and management. In this paper, we solve the electric load forecasting problem under extreme events such as scorching heats. ... | [
11648,
31696
] | Validation |
44,623 | 30 | Title: Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Abstract: We introduce a method to measure uncertainty in large language models. For tasks like question answering, it is essential to know when we can trust the natural language outputs of foundation models. W... | [
18564,
29711,
1424,
6544,
7073,
44833,
28963,
17447,
26792,
38697,
34987,
22833,
4274,
41780,
16824,
35901,
40010,
17357,
28886,
31832,
35418,
12896,
13413,
24552,
9961,
37360,
4340,
25973,
10876
] | Validation |
44,624 | 16 | Title: Calibrating Uncertainty for Semi-Supervised Crowd Counting
Abstract: Semi-supervised crowd counting is an important yet challenging task. A popular approach is to iteratively generate pseudo-labels for unlabeled data and add them to the training set. The key is to use uncertainty to select reliable pseudo-labels... | [
10439
] | Train |
44,625 | 27 | Title: Projecting Robot Intentions Through Visual Cues: Static vs. Dynamic Signaling
Abstract: Augmented and mixed-reality techniques harbor a great potential for improving human-robot collaboration. Visual signals and cues may be projected to a human partner in order to explicitly communicate robot intentions and goal... | [] | Test |
44,626 | 36 | Title: Emergence of Locally Suboptimal Behavior in Finitely Repeated Games
Abstract: We study the emergence of locally suboptimal behavior in finitely repeated games. Locally suboptimal behavior refers to players play suboptimally in some rounds of the repeated game (i.e., not maximizing their payoffs in those rounds) ... | [] | Train |
44,627 | 1 | Title: Zero-shot personalized lip-to-speech synthesis with face image based voice control
Abstract: Lip-to-Speech (Lip2Speech) synthesis, which predicts corresponding speech from talking face images, has witnessed significant progress with various models and training strategies in a series of independent studies. Howev... | [
118
] | Train |
44,628 | 24 | Title: Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality
Abstract: Stochastic gradient descent with momentum (SGDM) has been widely used in many machine learning and statistical applications. Despite the observed empirical benefits of SGDM over traditio... | [] | Validation |
44,629 | 24 | Title: Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning
Abstract: Winter wheat is one of the most important crops in the United Kingdom, and crop yield prediction is essential for the nation's food security. Several studies have employed machine learning (ML) techniques to pr... | [
19556
] | Train |
44,630 | 23 | Title: Fair and Inclusive Participatory Budgeting: Voter Experience with Cumulative and Quadratic Voting Interfaces
Abstract: Cumulative and quadratic voting are two distributional voting methods that are expressive, promoting fairness and inclusion, particularly in the realm of participatory budgeting. Despite these b... | [
23176
] | Validation |
44,631 | 25 | Title: Improving Contextual Spelling Correction by External Acoustics Attention and Semantic Aware Data Augmentation
Abstract: We previously proposed contextual spelling correction (CSC) to correct the output of end-to-end (E2E) automatic speech recognition (ASR) models with contextual information such as name, place, ... | [] | Test |
44,632 | 4 | Title: DETER: Design for Trust utilizing Rareness Reduction
Abstract: Increasing design complexity and reduced time-to-market have motivated manufacturers to outsource some parts of the System-on-Chip (SoC) design flow to third-party vendors. This provides an opportunity for attackers to introduce hardware Trojans by c... | [] | Train |
44,633 | 15 | Title: A Cycle-Accurate Soft Error Vulnerability Analysis Framework for FPGA-based Designs
Abstract: Many aerospace and automotive applications use FPGAs in their designs due to their low power and reconfigurability requirements. Meanwhile, such applications also pose a high standard on system reliability, which makes ... | [] | Train |
44,634 | 16 | Title: Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning
Abstract: Contrastive learning, relying on effective positive and negative sample pairs, is beneficial to learn informative skeleton representations in unsupervised skeleton-based action recognition. To achieve these positive and n... | [] | Train |
44,635 | 8 | Title: Congestion-aware routing and content placement in elastic cache networks
Abstract: Caching can be leveraged to significantly improve network performance and mitigate congestion. However, characterizing the optimal tradeoff between routing cost and cache deployment cost remains an open problem. In this paper, for... | [] | Validation |
44,636 | 16 | Title: Min-Max-Jump distance and its applications
Abstract: We explore three applications of Min-Max-Jump distance (MMJ distance). MMJ-based K-means revises K-means with MMJ distance. MMJ-based Silhouette coefficient revises Silhouette coefficient with MMJ distance. We also tested the Clustering with Neural Network and... | [] | Train |
44,637 | 28 | Title: Channel Charting in Real-World Coordinates
Abstract: Channel charting is an emerging self-supervised method that maps channel state information (CSI) to a low-dimensional latent space, which represents pseudo-positions of user equipments (UEs). While this latent space preserves local geometry, i.e., nearby UEs a... | [
3621
] | Train |
44,638 | 24 | Title: Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles
Abstract: The availability of training data remains a significant obstacle for the implementation of machine learning in scientific applications. In particular, estimating how a system might respond to external forcings or pert... | [] | Validation |
44,639 | 30 | Title: Reliable Detection and Quantification of Selective Forces in Language Change
Abstract: Language change is a cultural evolutionary process in which variants of linguistic variables change in frequency through processes analogous to mutation, selection and genetic drift. In this work, we apply a recently-introduce... | [] | Train |
44,640 | 16 | Title: SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification
Abstract: Skin cancer is a treatable disease if discovered early. We provide a production-specific solution to the skin cancer classification problem that matches human performance in melanoma identification by training a vision transfo... | [] | Test |
44,641 | 24 | Title: A Flow Artist for High-Dimensional Cellular Data
Abstract: We consider the problem of embedding point cloud data sampled from an underlying manifold with an associated flow or velocity. Such data arises in many contexts where static snapshots of dynamic entities are measured, including in high-throughput biology... | [] | Validation |
44,642 | 30 | Title: An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text
Abstract: Standard methods for multi-label text classification largely rely on encoder-only pre-trained language models, whereas encoder-decoder models have proven more effective in other classification tasks... | [
34294
] | Train |
44,643 | 30 | Title: Bridging Emotion Role Labeling and Appraisal-based Emotion Analysis
Abstract: The term emotion analysis in text subsumes various natural language processing tasks which have in common the goal to enable computers to understand emotions. Most popular is emotion classification in which one or multiple emotions are... | [
6208,
27645
] | Train |
44,644 | 10 | Title: Interval Logic Tensor Networks
Abstract: In this paper, we introduce Interval Real Logic (IRL), a two-sorted logic that interprets knowledge such as sequential properties (traces) and event properties using sequences of real-featured data. We interpret connectives using fuzzy logic, event durations using trapezo... | [] | Validation |
44,645 | 16 | Title: Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers
Abstract: Acute Lymphoblastic Leukemia (ALL) is one of the most common types of childhood blood cancer. The quick start of the treatment process is critical to saving the patient's life, and for this reason, early diagnosi... | [] | Test |
44,646 | 30 | Title: Can discrete information extraction prompts generalize across language models?
Abstract: We study whether automatically-induced prompts that effectively extract information from a language model can also be used, out-of-the-box, to probe other language models for the same information. After confirming that discr... | [
30775
] | Test |
44,647 | 3 | Title: Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Abstract: Many sets of ethics principles for responsible AI have been proposed to allay concerns about misuse and abuse of AI/ML systems. The underlying aspects of such sets of principles include privacy, accuracy, fairness, robustness, ... | [] | Train |
44,648 | 23 | Title: Antithesis of Object Orientation: Occurrence-Only Modeling Applied in Engineering and Medicine
Abstract: This paper has a dual character, combining a philosophical ontological exploration with a conceptual modeling approach in systems and software engineering. Such duality is already practiced in software engine... | [
29499,
19615
] | Validation |
44,649 | 24 | Title: Elastic Decision Transformer
Abstract: This paper introduces Elastic Decision Transformer (EDT), a significant advancement over the existing Decision Transformer (DT) and its variants. Although DT purports to generate an optimal trajectory, empirical evidence suggests it struggles with trajectory stitching, a pr... | [
16273,
41404,
37188
] | Train |
44,650 | 37 | Title: SIGNAL - The SAP Signavio Analytics Query Language
Abstract: This paper provides an introduction to and discussion of SIGNAL, an industry-scale process data querying language and engine for large-scale cloud-based systems that is developed by SAP Signavio. SIGNAL is optimized for fast read access to process data... | [] | Train |
44,651 | 16 | Title: FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies
Abstract: Given the close association between colorectal cancer and polyps, the diagnosis and identification of colorectal polyps play a critical role in the detection and surgical intervention of colorectal cancer. I... | [
33098
] | Train |
44,652 | 28 | Title: Improving Random Access with NOMA in mMTC XL-MIMO
Abstract: The extra-large multiple-input multiple-output (XL-MIMO) architecture has been recognized as a technology for giving support for the massive MTC (mMTC), providing very high-data rates in high-user density scenarios. However, the large dimension of the a... | [] | Train |
44,653 | 23 | Title: Software Defect Prediction by Online Learning Considering Defect Overlooking
Abstract: Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model when adding a new data point. However, predicting a module as"non-defective"(i.e., neg... | [] | Train |
44,654 | 24 | Title: Training neural operators to preserve invariant measures of chaotic attractors
Abstract: Chaotic systems make long-horizon forecasts difficult because small perturbations in initial conditions cause trajectories to diverge at an exponential rate. In this setting, neural operators trained to minimize squared erro... | [] | Validation |
44,655 | 6 | Title: Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
Abstract: Algorithm audits are powerful tools for studying black-box systems. While very effective in examining technical components, the method stops short of a sociotechnical frame, which would also consider users... | [] | Train |
44,656 | 16 | Title: Zero-Shot Image Harmonization with Generative Model Prior
Abstract: Recent image harmonization methods have demonstrated promising results. However, due to their heavy reliance on a large number of composite images, these works are expensive in the training phase and often fail to generalize to unseen images. In... | [
39892
] | Train |
44,657 | 8 | Title: RIFO: Pushing the Efficiency of Programmable Packet Schedulers
Abstract: Packet scheduling is a fundamental networking task that recently received renewed attention in the context of programmable data planes. Programmable packet scheduling systems such as those based on Push-In First-Out (PIFO) abstraction enabl... | [] | Validation |
44,658 | 8 | Title: Availability Model of a 5G-MEC System
Abstract: Multi-access Edge Computing (MEC) is one of the enabling technologies of the fifth generation (5G) of mobile networks. MEC enables services with strict latency requirements by bringing computing capabilities close to the users. As with any new technology, the depen... | [] | Train |
44,659 | 24 | Title: UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning
Abstract: Machine learning has emerged as a powerful tool for time series analysis. Existing methods are usually customized for different analysis tasks and face challenges in tackling practical problems such as partia... | [] | Train |
44,660 | 2 | Title: Proving Non-Termination by Acceleration Driven Clause Learning with LoAT
Abstract: We recently proposed Acceleration Driven Clause Learning (ADCL), a novel calculus to analyze satisfiability of Constrained Horn Clauses (CHCs). Here, we adapt ADCL to transition systems and introduce ADCL-NT, a variant for disprov... | [
20037
] | Validation |
44,661 | 4 | Title: Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning
Abstract: This paper primarily focuses on analyzing the problems and proposing solutions for the probabilistic truncation protocol in existing PPML works from the perspectives of accuracy and efficien... | [] | Train |
44,662 | 30 | Title: Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment
Abstract: The multi-modal entity alignment (MMEA) aims to find all equivalent entity pairs between multi-modal knowledge graphs (MMKGs). Rich attributes and neighboring entities are valuable for the alignment task, but ... | [
5601
] | Train |
44,663 | 24 | Title: Model Predictive Control with Self-supervised Representation Learning
Abstract: Over the last few years, we have not seen any major developments in model-free or model-based learning methods that would make one obsolete relative to the other. In most cases, the used technique is heavily dependent on the use case... | [] | Train |
44,664 | 16 | Title: SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving
Abstract: Unsupervised optical flow estimation is especially hard near occlusions and motion boundaries and in low-texture regions. We show that additional information such as semantics and domain knowledge can help b... | [
9758
] | Train |
44,665 | 16 | Title: Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning
Abstract: Learning with noisy-labels has become an important research topic in computer vision where state-of-the-art (SOTA) methods explore: 1) prediction disagreement with co-teaching strategy that updates two models when they disagree o... | [] | Train |
44,666 | 3 | Title: Reclaiming the Digital Commons: A Public Data Trust for Training Data
Abstract: Democratization of AI means not only that people can freely use AI, but also that people can collectively decide how AI is to be used. In particular, collective decision-making power is required to redress the negative externalities ... | [
45563,
45923,
15881,
22476,
37070,
5071,
40690,
28439,
634,
13082,
1917
] | Train |
44,667 | 16 | Title: Two Approaches to Supervised Image Segmentation
Abstract: Though performed almost effortlessly by humans, segmenting 2D gray-scale or color images into respective regions of interest (e.g.~background, objects, or portions of objects) constitutes one of the greatest challenges in science and technology as a conse... | [
35712,
13155
] | Train |
44,668 | 23 | Title: Directed Test Program Generation for JIT Compiler Bug Localization
Abstract: Bug localization techniques for Just-in-Time (JIT) compilers are based on analyzing the execution behaviors of the target JIT compiler on a set of test programs generated for this purpose; characteristics of these test inputs can signif... | [] | Train |
44,669 | 24 | Title: FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training
Abstract: Federated Learning (FL) enables collaborations among clients for train machine learning models while protecting their data privacy. Existing FL simulation platforms that are des... | [] | Train |
44,670 | 16 | Title: Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes
Abstract: In the life cycle of highly automated systems operating in an open and dynamic environment, the ability to adjust to emerging challenges is crucial. For systems integrating data-driven AI-based compo... | [
31655,
4020,
15967
] | Train |
44,671 | 3 | Title: The Evaluation of a New Daylighting System's Energy Performance: Reversible Daylighting System (RDS)
Abstract: This paper evaluates the energy performance of a new daylighting system, patented by the author, in a regular closed office space. The advantage of this new system as opposed to conventional venetian bl... | [] | Validation |
44,672 | 16 | Title: MeciFace: Mechanomyography and Inertial Fusion based Glasses for Edge Real-Time Recognition of Facial and Eating Activities
Abstract: The increasing prevalence of stress-related eating behaviors and their impact on overall health highlights the importance of effective monitoring systems. In this paper, we presen... | [
42745
] | Test |
44,673 | 27 | Title: Learning to Model and Plan for Wheeled Mobility on Vertically Challenging Terrain
Abstract: Most autonomous navigation systems assume wheeled robots are rigid bodies and their 2D planar workspaces can be divided into free spaces and obstacles. However, recent wheeled mobility research, showing that wheeled platf... | [
6577,
19145,
26773
] | Train |
44,674 | 16 | Title: Handwritten Text Recognition from Crowdsourced Annotations
Abstract: In this paper, we explore different ways of training a model for handwritten text recognition when multiple imperfect or noisy transcriptions are available. We consider various training configurations, such as selecting a single transcription, ... | [] | Validation |
44,675 | 24 | Title: Scope and Arbitration in Machine Learning Clinical EEG Classification
Abstract: A key task in clinical EEG interpretation is to classify a recording or session as normal or abnormal. In machine learning approaches to this task, recordings are typically divided into shorter windows for practical reasons, and thes... | [] | Test |
44,676 | 24 | Title: On the Fisher-Rao Gradient of the Evidence Lower Bound
Abstract: This article studies the Fisher-Rao gradient, also referred to as the natural gradient, of the evidence lower bound, the ELBO, which plays a crucial role within the theory of the Variational Autonecoder, the Helmholtz Machine and the Free Energy Pr... | [] | Train |
44,677 | 8 | Title: WDM/TDM over Passive Optical Networks with Cascaded-AWGRs for Data Centers
Abstract: Data centers based on Passive Optical Networks (PONs) can provide high capacity, low cost, scalability, elasticity and high energy-efficiency. This paper introduces the use of WDM-TDM multiple access in a PON-based data center t... | [] | Validation |
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