node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
26,878 | 10 | Title: Just Tell Me: Prompt Engineering in Business Process Management
Abstract: GPT-3 and several other language models (LMs) can effectively address various natural language processing (NLP) tasks, including machine translation and text summarization. Recently, they have also been successfully employed in the busines... | [
20507,
18906,
12467
] | Validation |
26,879 | 10 | Title: Real-time elastic partial shape matching using a neural network-based adjoint method
Abstract: Surface matching usually provides significant deformations that can lead to structural failure due to the lack of physical policy. In this context, partial surface matching of non-linear deformable bodies is crucial in... | [] | Validation |
26,880 | 27 | Title: Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving
Abstract: In autonomous driving, the novel objects and lack of annotations challenge the traditional 3D LiDAR semantic segmentation based on deep learning. Few-shot learning is a feasible way to solve these issues. However, currently few-shot semanti... | [] | Train |
26,881 | 27 | Title: PALoc: Robust Prior-assisted Trajectory Generation for Benchmarking
Abstract: Evaluating simultaneous localization and mapping (SLAM) algorithms necessitates high-precision and dense ground truth (GT) trajectories. But obtaining desirable GT trajectories is sometimes challenging without GT tracking sensors. As a... | [] | Train |
26,882 | 16 | Title: Panoptic-Depth Color Map for Combination of Depth and Image Segmentation
Abstract: Image segmentation and depth estimation are crucial tasks in computer vision, especially in autonomous driving scenarios. Although these tasks are typically addressed separately, we propose an innovative approach to combine them i... | [] | Test |
26,883 | 16 | Title: Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes
Abstract: Training models to apply common-sense linguistic knowledge and visual concepts from 2D images to 3D scene understanding is a promising direction that researchers have only recently started to explore. However... | [
7776
] | Train |
26,884 | 27 | Title: Residual Policy Learning for Vehicle Control of Autonomous Racing Cars
Abstract: The development of vehicle controllers for autonomous racing is challenging because racing cars operate at their physical driving limit. Prompted by the demand for improved performance, autonomous racing research has seen the prolif... | [
35290
] | Train |
26,885 | 16 | Title: Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation
Abstract: Generalized Few-shot Semantic Segmentation (GFSS) extends Few-shot Semantic Segmentation (FSS) to simultaneously segment unseen classes and seen classes during evaluation. Previous works lever... | [] | Test |
26,886 | 30 | Title: Coverage-based Example Selection for In-Context Learning
Abstract: In-context learning (ICL), the ability of large language models to perform novel tasks by conditioning on a prompt with a few task examples, requires demonstrations that are informative about the test instance. The standard approach of independen... | [
32450,
26578,
38262
] | Train |
26,887 | 24 | Title: The Ideal Continual Learner: An Agent That Never Forgets
Abstract: The goal of continual learning is to find a model that solves multiple learning tasks which are presented sequentially to the learner. A key challenge in this setting is that the learner may forget how to solve a previous task when learning a new... | [
14618,
6468,
34830,
25343
] | Train |
26,888 | 4 | Title: A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids
Abstract: The detection of energy thefts is vital for the safety of the whole smart grid system. However, the detection alone is not enough since energy thefts can crucially affect the electricity supply lea... | [] | Train |
26,889 | 27 | Title: Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information
Abstract: Traditional approaches to prediction of future trajectory of road agents rely on knowing information about their past trajectory. This work rather relies only on having knowledge of the current state and intended... | [] | Validation |
26,890 | 6 | Title: PRIM project: what contributions for disabilities?
Abstract: In the PRIM project, we aim at giving people the power to create scenagrams (interaction scenarios between a human and digital devices) without the need to learn programming or to ask for computer scientists. In this project, software design follows an... | [] | Train |
26,891 | 27 | Title: Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review
Abstract: Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction algorithm for the use of A... | [
32041,
18283
] | Train |
26,892 | 10 | Title: Uncertain Machine Ethical Decisions Using Hypothetical Retrospection
Abstract: We propose the use of the hypothetical retrospection argumentation procedure, developed by Sven Ove Hansson to improve existing approaches to machine ethical reasoning by accounting for probability and uncertainty from a position of P... | [] | Train |
26,893 | 18 | Title: Nonuniform magnetic domain-wall synapses enabled by population coding
Abstract: Traditional artificial intelligence implemented in software is usually executed on accurate digital computers. Nevertheless, the nanoscale devices for the implementation of neuromorphic computing may not be ideally identical, and the... | [] | Train |
26,894 | 30 | Title: Syntactic Complexity Identification, Measurement, and Reduction Through Controlled Syntactic Simplification
Abstract: Text simplification is one of the domains in Natural Language Processing (NLP) that offers an opportunity to understand the text in a simplified manner for exploration. However, it is always hard... | [] | Validation |
26,895 | 27 | Title: AIoT-based drum transcription robot using convolutional neural networks
Abstract: With the development of information technology, robot technology has made great progress in various fields. These new technologies enable robots to be used in industry, agriculture, education and other aspects. In this paper, we pr... | [] | Validation |
26,896 | 24 | Title: Group Regression for Query Based Object Detection and Tracking
Abstract: Group regression is commonly used in 3D object detection to predict box parameters of similar classes in a joint head, aiming to benefit from similarities while separating highly dissimilar classes. For query-based perception methods, this ... | [] | Validation |
26,897 | 24 | Title: Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
Abstract: Differential privacy is a widely accepted measure of privacy in the context of deep learning algorithms, and achieving it relies on a noisy training approach known as differentially private stochastic gradient... | [] | Train |
26,898 | 24 | Title: Lightweight Learner for Shared Knowledge Lifelong Learning
Abstract: In Lifelong Learning (LL), agents continually learn as they encounter new conditions and tasks. Most current LL is limited to a single agent that learns tasks sequentially. Dedicated LL machinery is then deployed to mitigate the forgetting of o... | [
3632
] | Train |
26,899 | 30 | Title: Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
Abstract: Dialogue acts (DAs) can represent conversational actions of tutors or students that take place during tutoring dialogues. Automating the identification of DAs in tutoring dialogues is significant to the design of dial... | [
16702,
29727
] | Train |
26,900 | 16 | Title: AutoTaskFormer: Searching Vision Transformers for Multi-task Learning
Abstract: Vision Transformers have shown great performance in single tasks such as classification and segmentation. However, real-world problems are not isolated, which calls for vision transformers that can perform multiple tasks concurrently... | [] | Train |
26,901 | 24 | Title: Adaptive Federated Learning with Auto-Tuned Clients
Abstract: Federated learning (FL) is a distributed machine learning framework where the global model of a central server is trained via multiple collaborative steps by participating clients without sharing their data. While being a flexible framework, where the... | [
15816,
29169,
42519
] | Train |
26,902 | 16 | Title: LPFF: A Portrait Dataset for Face Generators Across Large Poses
Abstract: The creation of 2D realistic facial images and 3D face shapes using generative networks has been a hot topic in recent years. Existing face generators exhibit exceptional performance on faces in small to medium poses (with respect to front... | [
8641,
36947
] | Train |
26,903 | 16 | Title: Continual Semantic Segmentation with Automatic Memory Sample Selection
Abstract: Continual Semantic Segmentation (CSS) extends static semantic segmentation by incrementally introducing new classes for training. To alleviate the catastrophic forgetting issue in CSS, a memory buffer that stores a small number of s... | [
7175,
11243,
4716,
31130,
15445,
5497,
16090
] | Validation |
26,904 | 24 | Title: Parity Calibration
Abstract: In a sequential regression setting, a decision-maker may be primarily concerned with whether the future observation will increase or decrease compared to the current one, rather than the actual value of the future observation. In this context, we introduce the notion of parity calibr... | [] | Train |
26,905 | 11 | Title: System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
Abstract: Evolutionary science provides evidence that diversity confers resilience. Yet, traditional multi-agent reinforcement learning techniques commonly enforce homogeneity to increase training sample efficiency. When a system... | [
35481
] | Train |
26,906 | 23 | Title: Handling Communication via APIs for Microservices
Abstract: Enterprises in their journey to the cloud, want to decompose their monolith applications into microservices to maximize cloud benefits. Current research focuses a lot on how to partition the monolith into smaller clusters that perform well across standa... | [] | Train |
26,907 | 16 | Title: Uncertainty-aware Unsupervised Multi-Object Tracking
Abstract: Without manually annotated identities, unsupervised multi-object trackers are inferior to learning reliable feature embeddings. It causes the similarity-based inter-frame association stage also be error-prone, where an uncertainty problem arises. The... | [] | Test |
26,908 | 24 | Title: Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysis
Abstract: Open-ended learning benefits immensely from the use of symbolic methods for goal representation as they offer ways to structure knowledge for efficient and transferable learning. However, the existing Hierarchical R... | [] | Test |
26,909 | 16 | Title: GeT: Generative Target Structure Debiasing for Domain Adaptation
Abstract: Domain adaptation (DA) aims to transfer knowledge from a fully labeled source to a scarcely labeled or totally unlabeled target under domain shift. Recently, semi-supervised learning-based (SSL) techniques that leverage pseudo labeling ha... | [] | Train |
26,910 | 24 | Title: How to Capture Intersectional Fairness
Abstract: In this work, we tackle the problem of intersectional group fairness in the classification setting, where the objective is to learn discrimination-free models in the presence of several intersecting sensitive groups. First, we illustrate various shortcomings of ex... | [
29996
] | Validation |
26,911 | 16 | Title: Cross-view Action Recognition via Contrastive View-invariant Representation
Abstract: Cross view action recognition (CVAR) seeks to recognize a human action when observed from a previously unseen viewpoint. This is a challenging problem since the appearance of an action changes significantly with the viewpoint. ... | [] | Train |
26,912 | 30 | Title: Gradient Ascent Post-training Enhances Language Model Generalization
Abstract: In this work, we empirically show that updating pretrained LMs (350M, 1.3B, 2.7B) with just a few steps of Gradient Ascent Post-training (GAP) on random, unlabeled text corpora enhances its zero-shot generalization capabilities across... | [
1872
] | Train |
26,913 | 16 | Title: Test your samples jointly: Pseudo-reference for image quality evaluation
Abstract: In this paper, we address the well-known image quality assessment problem but in contrast from existing approaches that predict image quality independently for every images, we propose to jointly model different images depicting t... | [] | Train |
26,914 | 24 | Title: Versatile Neural Processes for Learning Implicit Neural Representations
Abstract: Representing a signal as a continuous function parameterized by neural network (a.k.a. Implicit Neural Representations, INRs) has attracted increasing attention in recent years. Neural Processes (NPs), which model the distributions... | [
18921
] | Validation |
26,915 | 30 | Title: A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese
Abstract: Textual health records of cancer patients are usually protracted and highly unstructured, making it very time-consuming for health professionals to get a complete overview of the patient's therapeutic course. As such limi... | [] | Train |
26,916 | 30 | Title: Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPT
Abstract: The groundbreaking invention of ChatGPT has triggered enormous discussion among users across all fields and domains. Among celebration around its various advantages, questions have been raised with regards to its cor... | [
8472,
9105
] | Validation |
26,917 | 24 | Title: Balanced Filtering via Non-Disclosive Proxies
Abstract: We study the problem of non-disclosively collecting a sample of data that is balanced with respect to sensitive groups when group membership is unavailable or prohibited from use at collection time. Specifically, our collection mechanism does not reveal sig... | [] | Validation |
26,918 | 32 | Title: A note on the standard diffusion curve of TAP analysis
Abstract: The standard diffusion curve used in models of TAP reactors, as it is usually defined, is numerically unstable for small values. We use a functional equation satisfied by the curve to define a numerically stable way of computing it for all values. | [] | Train |
26,919 | 24 | Title: More for Less: Safe Policy Improvement With Stronger Performance Guarantees
Abstract: In an offline reinforcement learning setting, the safe policy improvement (SPI) problem aims to improve the performance of a behavior policy according to which sample data has been generated.
State-of-the-art approaches to SPI... | [
13979
] | Train |
26,920 | 24 | Title: Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Abstract: Spatiotemporal learning, which aims at extracting spatiotemporal correlations from the collected spatiotemporal data, is a research hotspot in recent years. And considering the inherent graph... | [] | Test |
26,921 | 30 | Title: UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis
Abstract: This paper describes our system designed for SemEval-2023 Task 12: Sentiment analysis for African languages. The challenge faced by this task is the scarcity of labeled data and lingu... | [
20226,
20339,
24954
] | Train |
26,922 | 30 | Title: LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development
Abstract: In this work, we conduct a detailed analysis on the performance of legal-oriented pre-trained language models (PLMs). We examine the interplay between their original objective, acquired knowledge, and legal lang... | [
26282,
33836,
34294
] | Train |
26,923 | 24 | Title: Accelerated and Inexpensive Machine Learning for Manufacturing Processes with Incomplete Mechanistic Knowledge
Abstract: Machine Learning (ML) is of increasing interest for modeling parametric effects in manufacturing processes. But this approach is limited to established processes for which a deep physics-based... | [] | Train |
26,924 | 23 | Title: A Penny a Function: Towards Cost Transparent Cloud Programming
Abstract: Understanding and managing monetary cost factors is crucial when developing cloud applications. However, the diverse range of factors influencing costs for computation, storage, and networking in cloud applications poses a challenge for dev... | [] | Train |
26,925 | 24 | Title: Hierarchical Quadratic Random Forest Classifier
Abstract: In this paper, we proposed a hierarchical quadratic random forest classifier for classifying multiresolution samples extracted from multichannel data. This forest incorporated a penalized multivariate linear discriminant in each of its decision nodes and ... | [] | Test |
26,926 | 16 | Title: Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction
Abstract: Saliency Prediction aims to predict the attention distribution of human eyes given an RGB image. Most of the recent state-of-the-art methods are based on deep image feature representations from traditional CNNs. However, th... | [] | Train |
26,927 | 38 | Title: From academic to media capital: To what extent does the scientific reputation of universities translate into Wikipedia attention?
Abstract: Universities face increasing demands to improve their visibility, public outreach, and online presence. There is a broad consensus that scientific reputation significantly i... | [] | Validation |
26,928 | 24 | Title: "It's a Match!" - A Benchmark of Task Affinity Scores for Joint Learning
Abstract: While the promises of Multi-Task Learning (MTL) are attractive, characterizing the conditions of its success is still an open problem in Deep Learning. Some tasks may benefit from being learned together while others may be detrime... | [] | Train |
26,929 | 16 | Title: Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion
Abstract: Powerful manipulation techniques have made digital image forgeries be easily created and widespread without leaving visual anomalies. The blind localization of tampered regions becomes quite significant for image fo... | [] | Train |
26,930 | 24 | Title: BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
Abstract: In this technical report, we present our solution for the Baidu KDD Cup 2022 Spatial Dynamic Wind Power Forecasting Challenge. Wind power is a rapidly growing source of clean energy. Accurate wind powe... | [
10642,
20564,
40463
] | Train |
26,931 | 16 | Title: Riesz networks: scale invariant neural networks in a single forward pass
Abstract: Scale invariance of an algorithm refers to its ability to treat objects equally independently of their size. For neural networks, scale invariance is typically achieved by data augmentation. However, when presented with a scale fa... | [] | Test |
26,932 | 24 | Title: Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching
Abstract: This paper presents a deep reinforcement learning solution for optimizing multi-UAV cell-association decisions and their moving velocity on a 3D aerial highway. The objective is to enhance tr... | [
31371
] | Train |
26,933 | 30 | Title: Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions
Abstract: Temporal and numerical expression understanding is of great importance in many downstream Natural Language Processing (NLP) and Information Retrieval (IR) tasks. However, much previous work ... | [
44600
] | Train |
26,934 | 28 | Title: Joint Design of Access and Backhaul in Densely Deployed MmWave Small Cells
Abstract: With the rapid growth of mobile data traffic, the shortage of radio spectrum resource has become increasingly prominent. Millimeter wave (mmWave) small cells can be densely deployed in macro cells to improve network capacity and... | [
18222
] | Train |
26,935 | 4 | Title: SoK: Acoustic Side Channels
Abstract: We provide a state-of-the-art analysis of acoustic side channels, cover all the significant academic research in the area, discuss their security implications and countermeasures, and identify areas for future research. We also make an attempt to bridge side channels and inv... | [] | Train |
26,936 | 16 | Title: Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection
Abstract: Background: Prostate cancer (PC) MRI-based risk calculators are commonly based on biological (e.g. PSA), MRI markers (e.g. volume), and patient age. Whilst patient age measures the amount of years an individual has e... | [] | Train |
26,937 | 30 | Title: Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations
Abstract: Emotion Recognition in Conversations (ERC) has been gaining increasing importance as conversational agents become more and more common. Recognizing emotions is key for effective communication, being a crucial... | [
7154
] | Validation |
26,938 | 16 | Title: ScrollNet: Dynamic Weight Importance for Continual Learning
Abstract: The principle underlying most existing continual learning (CL) methods is to prioritize stability by penalizing changes in parameters crucial to old tasks, while allowing for plasticity in other parameters. The importance of weights for each t... | [] | Train |
26,939 | 23 | Title: Simulative Performance Analysis of an AD Function with Road Network Variation
Abstract: Automated driving functions (ADFs) have become increasingly popular in recent years. However, their safety must be assured. Thus, the verification and validation of these functions is still an important open issue in research... | [] | Train |
26,940 | 28 | Title: Demand Privacy in Hotplug Caching Systems
Abstract: Coded caching, introduced by Maddah-Ali and Niesen (MAN), is a model where a server broadcasts multicast packets to users with a local cache that is leveraged so as to reduce the peak network communication load. The original MAN model does not consider missing ... | [] | Train |
26,941 | 16 | Title: HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
Abstract: 3D human generation from 2D images has achieved remarkable progress through the synergistic utilization of neural rendering and generative models. Existing 3D human generative models mainly generate a clothed 3D human as an undetectable 3D ... | [
40293,
10315,
25260,
21196,
34074,
15352,
14842,
34238,
25816
] | Train |
26,942 | 3 | Title: Engaging Google Teams Through Moral Imagination: A Bottom-Up Approach for Responsible Innovation and Ethical Culture Change in Technology Companies
Abstract: We propose a 'Moral Imagination' methodology to facilitate a culture of responsible innovation for engineering and product teams in technology companies. O... | [] | Test |
26,943 | 30 | Title: Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
Abstract: Language model probing is often used to test specific capabilities of these models. However, conclusions from such studies may be limited when the probing benchmarks are small and lack statistical power. I... | [] | Validation |
26,944 | 27 | Title: Toward Zero-Shot Sim-to-Real Transfer Learning for Pneumatic Soft Robot 3D Proprioceptive Sensing
Abstract: Pneumatic soft robots present many advantages in manipulation tasks. Notably, their inherent compliance makes them safe and reliable in unstructured and fragile environments. However, full-body shape sensi... | [
7402
] | Validation |
26,945 | 16 | Title: I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images
Abstract: Although the advances of self-supervised blind denoising are significantly superior to conventional approaches without clean supervision in synthetic noise scenarios, it shows poor quality in r... | [] | Validation |
26,946 | 24 | Title: Scalable Real-Time Recurrent Learning Using Sparse Connections and Selective Learning
Abstract: State construction from sensory observations is an important component of a reinforcement learning agent. One solution for state construction is to use recurrent neural networks. Back-propagation through time (BPTT), ... | [
10494
] | Validation |
26,947 | 5 | Title: Local Certification of Some Geometric Intersection Graph Classes
Abstract: In the context of distributed certification, the recognition of graph classes has started to be intensively studied. For instance, different results related to the recognition of planar, bounded tree-width and $H$-minor free graphs have b... | [] | Train |
26,948 | 31 | Title: Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Abstract: Click-Through Rate (CTR) prediction serves as a fundamental component in online advertising. A common practice is to train a CTR model on advertisement (ad) impressions with user feedback. Since ad impressions are p... | [
2387
] | Train |
26,949 | 30 | Title: Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports
Abstract: Despite the reduction in turn-around times in radiology reports with the use of speech recognition software, persistent communication errors can significantly impact the interpretation of the radiology report. Pre-filling a r... | [] | Validation |
26,950 | 4 | Title: Adversarial Robustness of Learning-based Static Malware Classifiers
Abstract: Malware detection has long been a stage for an ongoing arms race between malware authors and anti-virus systems. Solutions that utilize machine learning (ML) gain traction as the scale of this arms race increases. This trend, however, ... | [] | Train |
26,951 | 4 | Title: Hidden Stabilizers, the Isogeny To Endomorphism Ring Problem and the Cryptanalysis of pSIDH
Abstract: The Isogeny to Endomorphism Ring Problem (IsERP) asks to compute the endomorphism ring of the codomain of an isogeny between supersingular curves in characteristic $p$ given only a representation for this isogen... | [] | Test |
26,952 | 2 | Title: Grove: a Separation-Logic Library for Verifying Distributed Systems (Extended Version)
Abstract: Grove is a concurrent separation logic library for verifying distributed systems. Grove is the first to handle time-based leases, including their interaction with reconfiguration, crash recovery, thread-level concurr... | [] | Test |
26,953 | 13 | Title: Local Search, Semantics, and Genetic Programming: a Global Analysis
Abstract: Geometric Semantic Geometric Programming (GSGP) is one of the most prominent Genetic Programming (GP) variants, thanks to its solid theoretical background, the excellent performance achieved, and the execution time significantly smalle... | [] | Validation |
26,954 | 16 | Title: Pseudo 3D Perception Transformer with Multi-level Confidence Optimization for Visual Commonsense Reasoning
Abstract: —A framework performing Visual Commonsense Rea- soning (VCR) needs to choose an answer and further provide a rationale justifying based on the given image and question, where the image contains al... | [] | Train |
26,955 | 24 | Title: Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning
Abstract: Interpretability of AI models allows for user safety checks to build trust in these models. In particular, decision trees (DTs) provide a global view on the learned model and clearly outlines th... | [] | Train |
26,956 | 28 | Title: On the Age of Information of Processor Sharing Systems
Abstract: In this paper, we examine the Age of Information (AoI) of a source sending status updates to a monitor through a queue operating under the Processor Sharing (PS) discipline. In the PS queueing discipline, all the updates are served simultaneously a... | [
16575
] | Test |
26,957 | 4 | Title: Janus: Safe Biometric Deduplication for Humanitarian Aid Distribution
Abstract: Humanitarian organizations provide aid to people in need. To use their limited budget efficiently, their distribution processes must ensure that legitimate recipients cannot receive more aid than they are entitled to. Thus, it is ess... | [
1272,
34174
] | Train |
26,958 | 4 | Title: Evading Black-box Classifiers Without Breaking Eggs
Abstract: Decision-based evasion attacks repeatedly query a black-box classifier to generate adversarial examples. Prior work measures the cost of such attacks by the total number of queries made to the classifier. We argue this metric is flawed. Most security-... | [
45105,
32637
] | Train |
26,959 | 4 | Title: TxT: Real-Time Transaction Encapsulation for Ethereum Smart Contracts
Abstract: Ethereum is a permissionless blockchain ecosystem that supports execution of smart contracts, the key enablers of decentralized finance (DeFi) and non-fungible tokens (NFT). However, the expressiveness of Ethereum smart contracts is ... | [
33332,
27191
] | Train |
26,960 | 16 | Title: Eiffel Tower: A deep-sea underwater dataset for long-term visual localization
Abstract: Visual localization plays an important role in the positioning and navigation of robotics systems within previously visited environments. When visits occur over long periods of time, changes in the environment related to seas... | [
15269
] | Validation |
26,961 | 16 | Title: SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage
Abstract: We need billion-scale images to achieve more generalizable and ground-breaking vision models, as well as massive dataset storage to ship the images (e.g., the LAION-4B dataset needs 240TB storage space). However, it has becom... | [
105
] | Validation |
26,962 | 24 | Title: Improving Federated Aggregation with Deep Unfolding Networks
Abstract: The performance of Federated learning (FL) is negatively affected by device differences and statistical characteristics between participating clients. To address this issue, we introduce a deep unfolding network (DUN)-based technique that lea... | [
5699,
29111
] | Train |
26,963 | 27 | Title: A comparative study of human inverse kinematics techniques for lower limbs
Abstract: Inverse Kinematics (IK) has been an active research topic and many methods have been introduced to provide a fast and accurate solution. However, high computational cost and the generation of unrealistic positions constitute the... | [] | Train |
26,964 | 4 | Title: Attacks on Dynamic DeFi Interest Rate Curves
Abstract: As decentralized money market protocols continue to grow in value locked, there have been a number of optimizations proposed for improving capital efficiency. One set of proposals from Euler Finance and Mars Protocol is to have an interest rate curve that is... | [] | Train |
26,965 | 24 | Title: Variation-aware Vision Transformer Quantization
Abstract: Despite the remarkable performance of Vision Transformers (ViTs) in various visual tasks, the expanding computation and model size of ViTs have increased the demand for improved efficiency during training and inference. To address the heavy computation an... | [] | Test |
26,966 | 24 | Title: An Implicit GNN Solver for Poisson-like problems
Abstract: This paper presents $\Psi$-GNN, a novel Graph Neural Network (GNN) approach for solving the ubiquitous Poisson PDE problems with mixed boundary conditions. By leveraging the Implicit Layer Theory, $\Psi$-GNN models an ''infinitely'' deep network, thus av... | [] | Train |
26,967 | 4 | Title: Autonomous and Collaborative Smart Home Security System (ACSHSS)
Abstract: Firstly, the proposed solution provides remotely accessible integrated IoT resources for the safety and security of the building. By using Sha ort Messaging System (SMS), the age is sent to the user by the Global System for Mobile (GSM) s... | [] | Test |
26,968 | 38 | Title: The Use of Web Archives in Disinformation Research
Abstract: In recent years, journalists and other researchers have used web archives as an important resource for their study of disinformation. This paper provides several examples of this use and also brings together some of the work that the Old Dominion Unive... | [
40411,
6420,
33604,
18591
] | Validation |
26,969 | 16 | Title: A Multi-scale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing
Abstract: Remote sensing images are essential for many earth science applications, but their quality can be degraded due to limitations in sensor technology and complex imaging environments. To address this, variou... | [
41216,
33700
] | Train |
26,970 | 24 | Title: Zero-shot Preference Learning for Offline RL via Optimal Transport
Abstract: Preference-based Reinforcement Learning (PbRL) has demonstrated remarkable efficacy in aligning rewards with human intentions. However, a significant challenge lies in the need of substantial human labels, which is costly and time-consu... | [
9385,
5541
] | Train |
26,971 | 16 | Title: Transformer-based Graph Neural Networks for Outfit Generation
Abstract: Suggesting complementary clothing items to compose an outfit is a process of emerging interest, yet it involves a fine understanding of fashion trends and visual aesthetics. Previous works have mainly focused on recommendation by scoring vis... | [] | Train |
26,972 | 24 | Title: DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios
Abstract: The development of plans of action in disaster response scenarios is a time-consuming process. Large Language Models (LLMs) offer a powerful solution to expedite this process through in-... | [
33220,
29396,
13510
] | Train |
26,973 | 10 | Title: Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals
Abstract: In the contemporary landscape of social media, an alarming number of users express negative emotions, some of which manifest as strong suicidal intentions. This situation underscor... | [
40192,
43267,
33220,
295,
43371,
7628,
6700,
10221,
20797
] | Train |
26,974 | 30 | Title: SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning
Abstract: We present SeaEval, a benchmark for multilingual foundation models. In addition to characterizing how these models understand and reason with natural language, we also investigate how well they comprehend cul... | [
13189,
19083,
44811,
7695,
22547,
39061,
1575,
16811,
12602,
9403,
15353,
38849,
33220,
29512,
2764,
11614,
2787,
39908,
42089,
37742,
43641,
15358
] | Train |
26,975 | 10 | Title: Handling Wikidata Qualifiers in Reasoning
Abstract: Wikidata is a knowledge graph increasingly adopted by many communities for diverse applications. Wikidata statements are annotated with qualifier-value pairs that are used to depict information, such as the validity context of the statement, its causality, prov... | [] | Validation |
26,976 | 27 | Title: Equivariant Symmetries for Inertial Navigation Systems
Abstract: This paper investigates the problem of inertial navigation system (INS) filter design through the lens of symmetry. The extended Kalman filter (EKF) and its variants, have been the staple of INS filtering for 50 years; however, recent advances in i... | [] | Train |
26,977 | 16 | Title: Training Semantic Segmentation on Heterogeneous Datasets
Abstract: —We explore semantic segmentation beyond the con- ventional, single-dataset homogeneous training and bring forward the problem of Heterogeneous Training of Semantic Seg- mentation (HTSS). HTSS involves simultaneous training on multiple heterogene... | [] | Test |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.