node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
32,778 | 30 | Title: A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models
Abstract: In this paper, we propose an optimization-based adversarial attack against Neural Machine Translation (NMT) models. First, we propose an optimization problem to generate adversarial examples that are seman... | [] | Train |
32,779 | 4 | Title: The Design Principle of Blockchain: An Initiative for the SoK of SoKs
Abstract: security, scalability, decentralization, applicability, governance and regulation, system design, and cross-chain interoperability. Both research and practice are more centered around the first category of privacy and security and th... | [
12505,
37309
] | Test |
32,780 | 39 | Title: $\mathcal{P}$-matchings Parameterized by Treewidth
Abstract: A \emph{matching} is a subset of edges in a graph $G$ that do not share an endpoint. A matching $M$ is a \emph{$\mathcal{P}$-matching} if the subgraph of $G$ induced by the endpoints of the edges of $M$ satisfies property $\mathcal{P}$. For example, if... | [] | Train |
32,781 | 4 | Title: Chrisimos: A useful Proof-of-Work for finding Minimal Dominating Set of a graph
Abstract: Hash-based Proof-of-Work (PoW) used in the Bitcoin Blockchain leads to high energy consumption and resource wastage. In this paper, we aim to re-purpose the energy by replacing the hash function with real-life problems havi... | [] | Test |
32,782 | 27 | Title: Light-Weight Pointcloud Representation with Sparse Gaussian Process
Abstract: This paper presents a framework to represent high-fidelity pointcloud sensor observations for efficient communication and storage. The proposed approach exploits Sparse Gaussian Process to encode pointcloud into a compact form. Our app... | [
6985,
35092
] | Validation |
32,783 | 27 | Title: Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models
Abstract: Autonomous off-road driving requires understanding traversability, which refers to the suitability of a given terrain to drive over. When offroad vehicles travel at high speed ($>10m/s$), they need to reason at lo... | [
41293,
42255
] | Validation |
32,784 | 10 | Title: V-LoL: A Diagnostic Dataset for Visual Logical Learning
Abstract: Despite the successes of recent developments in visual AI, different shortcomings still exist; from missing exact logical reasoning, to abstract generalization abilities, to understanding complex and noisy scenes. Unfortunately, existing benchmark... | [] | Train |
32,785 | 23 | Title: LExecutor: Learning-Guided Execution
Abstract: Executing code is essential for various program analysis tasks, e.g., to detect bugs that manifest through exceptions or to obtain execution traces for further dynamic analysis. However, executing an arbitrary piece of code is often difficult in practice, e.g., beca... | [
9571
] | Train |
32,786 | 24 | Title: Editable Graph Neural Network for Node Classifications
Abstract: Despite Graph Neural Networks (GNNs) have achieved prominent success in many graph-based learning problem, such as credit risk assessment in financial networks and fake news detection in social networks. However, the trained GNNs still make errors ... | [
41436,
13549
] | Train |
32,787 | 34 | Title: Maximum Coverage in Sublinear Space, Faster
Abstract: Given a collection of $m$ sets from a universe $\mathcal{U}$, the Maximum Set Coverage problem consists of finding $k$ sets whose union has largest cardinality. This problem is NP-Hard, but the solution can be approximated by a polynomial time algorithm up to... | [] | Test |
32,788 | 13 | Title: Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving
Abstract: Genetic Programming (GP) often uses large training sets and requires all individuals to be evaluated on all training cases during selection. Random down-sampled lexicase selection evaluates ind... | [
27941,
18502,
12818,
30455,
1721
] | Train |
32,789 | 24 | Title: Deep Learning Driven Detection of Tsunami Related Internal GravityWaves: a path towards open-ocean natural hazards detection
Abstract: Tsunamis can trigger internal gravity waves (IGWs) in the ionosphere, perturbing the Total Electron Content (TEC) - referred to as Traveling Ionospheric Disturbances (TIDs) that ... | [] | Train |
32,790 | 24 | Title: Provable Robustness for Streaming Models with a Sliding Window
Abstract: The literature on provable robustness in machine learning has primarily focused on static prediction problems, such as image classification, in which input samples are assumed to be independent and model performance is measured as an expect... | [] | Train |
32,791 | 4 | Title: Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data
Abstract: With the recent explosive growth of interest and investment in virtual reality (VR) and the so-called"metaverse,"public attention has rightly shifted toward the unique security and privacy threats that these platforms ... | [
17573,
8871,
30600,
9112,
36223
] | Test |
32,792 | 30 | Title: Making Metadata More FAIR Using Large Language Models
Abstract: With the global increase in experimental data artifacts, harnessing them in a unified fashion leads to a major stumbling block - bad metadata. To bridge this gap, this work presents a Natural Language Processing (NLP) informed application, called FA... | [] | Test |
32,793 | 34 | Title: Subset Sum in Time 2n/2/poly(n)
Abstract: A major goal in the area of exact exponential algorithms is to give an algorithm for the (worst-case) $n$-input Subset Sum problem that runs in time $2^{(1/2 - c)n}$ for some constant $c>0$. In this paper we give a Subset Sum algorithm with worst-case running time $O(2^{... | [] | Train |
32,794 | 27 | Title: Should Collaborative Robots be Transparent?
Abstract: We often assume that robots which collaborate with humans should behave in ways that are transparent (e.g., legible, explainable). These transparent robots intentionally choose actions that convey their internal state to nearby humans: for instance, a transpa... | [] | Train |
32,795 | 4 | Title: Thwarting Code-Reuse and Side-Channel Attacks in Embedded Systems
Abstract: Embedded devices are increasingly present in our everyday life. They often process critical information, and hence, rely on cryptographic protocols to achieve security. However, embedded devices remain vulnerable to attackers seeking to ... | [
30980
] | Train |
32,796 | 24 | Title: InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4
Abstract: Multimodal large language models acquire their instruction-following capabilities through a two-stage training process: pre-training on image-text pairs and fine-tuning on supervised vision-language instruction data. Recent studies ... | [
8608,
10624,
13700,
12709,
29999,
41104,
27282,
15413,
19671,
19578,
2811
] | Test |
32,797 | 30 | Title: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing
Abstract: Standard fine-tuning of language models typically performs well on in-distribution data, but suffers with generalization to distribution shifts. In this work, we aim to improve generalization of adapter-based cro... | [
26501,
2687
] | Train |
32,798 | 24 | Title: Semi-Implicit Denoising Diffusion Models (SIDDMs)
Abstract: Despite the proliferation of generative models, achieving fast sampling during inference without compromising sample diversity and quality remains challenging. Existing models such as Denoising Diffusion Probabilistic Models (DDPM) deliver high-quality,... | [] | Train |
32,799 | 16 | Title: TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Abstract: Data augmentation has been established as an efficacious approach to supplement useful information for low-resource datasets. Traditional augmentation techniques such as noise injection and image transformations ... | [
12261
] | Validation |
32,800 | 16 | Title: Self-supervised pseudo-colorizing of masked cells
Abstract: Self-supervised learning, which is strikingly referred to as the dark matter of intelligence, is gaining more attention in biomedical applications of deep learning. In this work, we introduce a novel self-supervision objective for the analysis of cells ... | [] | Train |
32,801 | 23 | Title: How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective
Abstract: Proper naming of methods can make program code easier to understand, and thus enhance software maintainability. Yet, developers may use inconsistent names due to poor communication or a lack of familiarity w... | [] | Train |
32,802 | 16 | Title: Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision
Abstract: Training a convolutional neural network (CNN) to detect infrared small targets in a fully supervised manner has gained remarkable research interests in recent years, but is highly labor ex... | [
39153,
2620
] | Train |
32,803 | 4 | Title: Application of BadNets in Spam Filters
Abstract: Spam filters are a crucial component of modern email systems, as they help to protect users from unwanted and potentially harmful emails. However, the effectiveness of these filters is dependent on the quality of the machine learning models that power them. In thi... | [] | Train |
32,804 | 30 | Title: Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
Abstract: A recent line of work in NLP focuses on the (dis)ability of models to generalise compositionally for artificial languages. However, when considering natural language tasks, the data involved is not strictly, or locally, composit... | [] | Train |
32,805 | 11 | Title: Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM
Abstract: As artificial intelligence spreads out to numerous fields, the application of AI to sports analytics is also in the spotlight. However, one of the major challenges is the difficulty of automated ac... | [] | Train |
32,806 | 24 | Title: Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data
Abstract: We address the issue of binary classification from positive and unlabeled data (PU classification) with a selection bias in the positive data. During the observation process, (i) a sample is exposed to a user, (ii) the user then re... | [] | Train |
32,807 | 24 | Title: FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Abstract: Most existing federated learning methods assume that clients have fully labeled data to train on, while in reality, it is hard for the clients to get task-specific labels due to users' privacy concerns, hi... | [] | Validation |
32,808 | 24 | Title: A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
Abstract: Accurate traffic prediction in real time plays an important role in Intelligent Transportation System (ITS) and travel navigation guidance. There have been many attempts to predict short-term traffic status which consi... | [] | Test |
32,809 | 3 | Title: Building Resilience to Climate Driven Extreme Events with Computing Innovations: A Convergence Accelerator Report
Abstract: In 2022, the National Science Foundation (NSF) funded the Computing Research Association (CRA) to conduct a workshop to frame and scope a potential Convergence Accelerator research track on... | [] | Train |
32,810 | 16 | Title: Automatic detection of aerial survey ground control points based on Yolov5-OBB
Abstract: The use of ground control points (GCPs) for georeferencing is the most common strategy in unmanned aerial vehicle (UAV) photogrammetry, but at the same time their collection represents the most time-consuming and expensive p... | [] | Validation |
32,811 | 3 | Title: Changes in Policy Preferences in German Tweets During the COVID Pandemic
Abstract: nan | [] | Test |
32,812 | 27 | Title: Towards Automatic Identification of Globally Valid Geometric Flat Outputs via Numerical Optimization
Abstract: Differential flatness enables efficient planning and control for underactuated robotic systems, but we lack a systematic and practical means of identifying a flat output (or determining whether one exis... | [] | Train |
32,813 | 24 | Title: Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels
Abstract: A noisy training set usually leads to the degradation of the generalization and robustness of neural networks. In this paper, we propose a novel theoretically guaranteed clean sample selection framework for learning with noisy labels. ... | [] | Train |
32,814 | 16 | Title: CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning
Abstract: Compositionality, the ability to combine existing concepts and generalize towards novel compositions, is a key functionality for intelligent entities. Here, we study the problem of Compositional Zero-Shot Learning (CZSL), wh... | [] | Train |
32,815 | 7 | Title: Neural Network Accelerated Process Design of Polycrystalline Microstructures
Abstract: Computational experiments are exploited in finding a well-designed processing path to optimize material structures for desired properties. This requires understanding the interplay between the processing-(micro)structure-prope... | [] | Train |
32,816 | 16 | Title: Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
Abstract: One-class classification (OCC) is a longstanding method for anomaly detection. With the powerful representation capability of the pre-trained backbone, OCC methods have witnessed significant performance improvements.... | [] | Train |
32,817 | 25 | Title: Stuttering detection using speaker representations and self-supervised contextual embeddings
Abstract: nan | [
24320,
12437
] | Train |
32,818 | 33 | Title: Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives
Abstract: This paper studies temporal planning in probabilistic environments, modeled as labeled Markov decision processes (MDPs), with user preferences over multiple temporal goals. Existing works reflect such preferences as a pr... | [] | Validation |
32,819 | 4 | Title: Characterizing Cyber Attacks against Space Systems with Missing Data: Framework and Case Study
Abstract: Cybersecurity of space systems is an emerging topic, but there is no single dataset that documents cyber attacks against space systems that have occurred in the past. These incidents are often scattered in me... | [] | Train |
32,820 | 24 | Title: CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft
Abstract: One of the essential missions in the AI research community is to build an autonomous embodied agent that can attain high-level performance across a wide spectrum of tasks. However, acquiring reward/penalty in all open-ended tasks is unrealisti... | [
22816,
18427,
39669
] | Train |
32,821 | 39 | Title: A note on local search for hitting sets
Abstract: Let $\pi$ be a property of pairs $(G,Z)$, where $G$ is a graph and $Z\subseteq V(G)$. In the \emph{minimum $\pi$-hitting set problem}, given an input graph $G$, we want to find a smallest set $X\subseteq V(G)$ such that $X$ intersects every set $Z\subseteq V(G)$ ... | [] | Test |
32,822 | 38 | Title: A Novel Scholar Embedding Model for Interdisciplinary Collaboration
Abstract: Interdisciplinary collaboration has become a driving force for scientific breakthroughs, and evaluating scholars’ performance in interdisciplinary researches is essential for promoting such collaborations. However, traditional scholar ... | [
4509
] | Train |
32,823 | 36 | Title: Approximating the Value of Energy-Parity Objectives in Simple Stochastic Games
Abstract: We consider simple stochastic games $\mathcal G$ with energy-parity objectives, a combination of quantitative rewards with a qualitative parity condition. The Maximizer tries to avoid running out of energy while simultaneous... | [
23154
] | Validation |
32,824 | 23 | Title: The Probabilistic Bounds on the Feasibility of the Defect Prediction Models in Real-World Testing Environments
Abstract: The research on developing software defect prediction (SDP) models is targeted at reducing the workload on the tester and, thereby, the time spent on the targeted module. However, while a cons... | [] | Train |
32,825 | 16 | Title: LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
Abstract: Semantic map construction under bird's-eye view (BEV) plays an essential role in autonomous driving. In contrast to camera image, LiDAR provides the accurate 3D observations to project the captured 3D featur... | [
45767
] | Train |
32,826 | 20 | Title: Betti Number for Point Sets
Abstract: Topology is the foundation for many industrial applications ranging from CAD to simulation analysis. Computational topology mostly focuses on structured data such as mesh. However, unstructured datasets such as point sets remain a virgin land for topology scientists. The sig... | [
23088
] | Train |
32,827 | 16 | Title: Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion
Abstract: Multi-exposure image fusion (MEF) has emerged as a prominent solution to address the limitations of digital imaging in representing varied exposure levels. Despite its advancements, the field grapples... | [
31163,
36829,
41182
] | Test |
32,828 | 16 | Title: A deep-learning approach to early identification of suggested sexual harassment from videos
Abstract: Sexual harassment, sexual abuse, and sexual violence are prevalent problems in this day and age. Women's safety is an important issue that needs to be highlighted and addressed. Given this issue, we have studied... | [] | Train |
32,829 | 30 | Title: PANACEA: An Automated Misinformation Detection System on COVID-19
Abstract: In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language ... | [
32889,
18239
] | Train |
32,830 | 16 | Title: EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection
Abstract: In recent years, great progress has been made in the Lift-Splat-Shot-based (LSS-based) 3D object detection method. However, inaccurate depth estimation remains an important constraint to the accuracy of camera-only and multi-model... | [] | Test |
32,831 | 30 | Title: Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge Retrieval from Foundation Language Models
Abstract: In this work, we evaluate the capacity for foundation models to retrieve encyclopedic knowledge across a wide range of languages, topics, and contexts. To support this effort, we 1) produce a new da... | [
32944,
33220,
13700,
1917
] | Train |
32,832 | 16 | Title: SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries
Abstract: Soccer is more than just a game - it is a passion that transcends borders and unites people worldwide. From the roar of the crowds to the excitement of the commentators, every moment of a soccer match is a thrill. Yet, with so... | [
13425,
20169
] | Train |
32,833 | 13 | Title: Multitasking Evolutionary Algorithm Based on Adaptive Seed Transfer for Combinatorial Problem
Abstract: nan | [] | Validation |
32,834 | 7 | Title: Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics
Abstract: Machine Learning methods belong to the group of most up-to-date approaches for solving partial differential equations. The current work investigates two classes, Neural FEM and Neural Operator Methods, for the use ... | [] | Train |
32,835 | 24 | Title: Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer
Abstract: Recent studies have demonstrated the great power of deep learning methods, particularly Transformer and MLP, for time series forecasting. Despite its success in NLP and CV, many studies found that Transfor... | [
16576,
21778,
28917,
23527
] | Train |
32,836 | 22 | Title: Builtin Types viewed as Inductive Families
Abstract: State of the art optimisation passes for dependently typed languages can help erase the redundant information typical of invariant-rich data structures and programs. These automated processes do not dramatically change the structure of the data, even though mo... | [
14723
] | Test |
32,837 | 24 | Title: Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Abstract: We consider the problem of uncertainty quantification in high dimensional regression and classification for which deep ensemble have proven to be promising methods. Recent observations have shown that deep e... | [] | Validation |
32,838 | 24 | Title: Evaluating AI systems under uncertain ground truth: a case study in dermatology
Abstract: For safety, AI systems in health undergo thorough evaluations before deployment, validating their predictions against a ground truth that is assumed certain. However, this is actually not the case and the ground truth may b... | [
24617,
43683,
8644,
6109
] | Train |
32,839 | 24 | Title: Supervised Auto-Encoding Twin-Bottleneck Hashing
Abstract: Deep hashing has shown to be a complexity-efficient solution for the Approximate Nearest Neighbor search problem in high dimensional space. Many methods usually build the loss function from pairwise or triplet data points to capture the local similarity ... | [] | Train |
32,840 | 27 | Title: Optical flow-based vascular respiratory motion compensation
Abstract: This paper develops a new vascular respiratory motion compensation algorithm, Motion-Related Compensation (MRC), to conduct vascular respiratory motion compensation by extrapolating the correlation between invisible vascular and visible non-va... | [
29786
] | Train |
32,841 | 33 | Title: A weakly universal weighted cellular automaton in the heptagrid with 7 states
Abstract: In this paper we prove that there is a weakly universal weighted cellular automaton in the heptagrid, the tessellation {7,3} of the hyperbolic plane, with 6 states. The present paper improves the same result deposited on arXi... | [
33427
] | Train |
32,842 | 16 | Title: Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT
Abstract: Single-Photon Emission Computed Tomography (SPECT) is widely applied for the diagnosis of ischemic heart diseases. Low-dose (LD) SPECT aims to minimize radiation... | [] | Train |
32,843 | 24 | Title: Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)
Abstract: Reliable estimates of Gross Primary Productivity (GPP), crucial for evaluating climate change initiatives, are currently only available from sparsely distributed eddy covariance tower sites. This limitation hampers access to reliable GP... | [] | Test |
32,844 | 16 | Title: Partial-View Object View Synthesis via Filtered Inversion
Abstract: We propose Filtering Inversion (FINV), a learning framework and optimization process that predicts a renderable 3D object representation from one or few partial views. FINV addresses the challenge of synthesizing novel views of objects from part... | [
30566
] | Train |
32,845 | 10 | Title: Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach
Abstract: Many decision-making problems feature multiple objectives. In such problems, it is not always possible to know the preferences of a decision-maker for different objectives. However, it i... | [] | Train |
32,846 | 24 | Title: Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
Abstract: Flexible manufacturing has given rise to complex scheduling problems such as the flexible job shop scheduling problem (FJSP). In FJSP, operations can be processed on multiple machines, leading to intricate relationship... | [] | Test |
32,847 | 16 | Title: Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation
Abstract: Obtaining sufficient labeled data for training deep models is often challenging in real-life applications. To address this issue, we propose a novel solution for single-source domain generalized semantic segmentation. Recent... | [
40287
] | Test |
32,848 | 16 | Title: A New Perspective for Shuttlecock Hitting Event Detection
Abstract: This article introduces a novel approach to shuttlecock hitting event detection. Instead of depending on generic methods, we capture the hitting action of players by reasoning over a sequence of images. To learn the features of hitting events in... | [] | Test |
32,849 | 2 | Title: A system of inference based on proof search: an extended abstract
Abstract: Gentzen designed his natural deduction proof system to "come as close as possible to actual reasoning." Indeed, natural deduction proofs closely resemble the static structure of logical reasoning in mathematical arguments. However, diffe... | [] | Train |
32,850 | 24 | Title: Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations
Abstract: The increase in complexity of autonomous systems is accompanied by a need of data-driven development and validation strategies. Advances in computer graphics and cloud clusters have opened the way to massiv... | [] | Test |
32,851 | 10 | Title: Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction
Abstract: Accurate identification of disease genes has consistently been one of the keys to decoding a disease's molecular mechanism. Most current approaches focus on constructing biological networks and utilizing machine learni... | [] | Train |
32,852 | 16 | Title: MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Abstract: We introduce MarginMatch, a new SSL approach combining consistency regularization and pseudo-labeling, with its main novelty arising from the use of unlabeled data training dynamics to measure pseudo-label quality. Instead of using onl... | [] | Test |
32,853 | 2 | Title: A separation logic for sequences in pointer programs and its decidability
Abstract: Separation logic and its variants can describe various properties on pointer programs. However, when it comes to properties on sequences, one may find it hard to formalize. To deal with properties on variable-length sequences and... | [] | Train |
32,854 | 28 | Title: Construction of Optimal Binary Z-Complementary Code Sets with New Lengths Using Generalized Boolean Function
Abstract: nan | [
7119
] | Train |
32,855 | 25 | Title: A General Framework for Learning Procedural Audio Models of Environmental Sounds
Abstract: This paper introduces the Procedural (audio) Variational autoEncoder (ProVE) framework as a general approach to learning Procedural Audio PA models of environmental sounds with an improvement to the realism of the synthesi... | [] | Train |
32,856 | 6 | Title: UbiPhysio: Support Daily Functioning, Fitness, and Rehabilitation with Action Understanding and Feedback in Natural Language
Abstract: We introduce UbiPhysio, a milestone framework that delivers fine-grained action description and feedback in natural language to support people's daily functioning, fitness, and r... | [
36774,
29049,
32213,
43641,
17178,
44858,
21215
] | Train |
32,857 | 16 | Title: Multiclass Confidence and Localization Calibration for Object Detection
Abstract: Albeit achieving high predictive accuracy across many challenging computer vision problems, recent studies suggest that deep neural networks (DNNs) tend to make over-confident predictions, rendering them poorly calibrated. Most of ... | [
36102
] | Validation |
32,858 | 22 | Title: The Usability of Advanced Type Systems: Rust as a Case Study
Abstract: Advanced type systems that enforce various correctness and safety guarantees--such as linear and ownership types--have a long history in the Programming Languages research community. Despite this history, a human-centered evaluation of these ... | [] | Train |
32,859 | 30 | Title: Platypus: Quick, Cheap, and Powerful Refinement of LLMs
Abstract: We present $\textbf{Platypus}$, a family of fine-tuned and merged Large Language Models (LLMs) that achieves the strongest performance and currently stands at first place in HuggingFace's Open LLM Leaderboard as of the release date of this work. I... | [
12128,
14592,
43970,
2980,
12741,
10598,
13029,
13700,
15812,
6797,
36786,
33815,
45494,
5815,
6328,
13855
] | Test |
32,860 | 26 | Title: A multiple k-means cluster ensemble framework for clustering citation trajectories
Abstract: Citation maturity time varies for different articles. However, the impact of all articles is measured in a fixed window. Clustering their citation trajectories helps understand the knowledge diffusion process and reveals... | [] | Test |
32,861 | 30 | Title: WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks
Abstract: Intimacy is an essential element of human relationships and language is a crucial means of conveying it. Textual intimacy analysis can reveal social norms in different contexts and serve as a benchma... | [] | Train |
32,862 | 4 | Title: A Review of Data-driven Approaches for Malicious Website Detection
Abstract: The detection of malicious websites has become a critical issue in cybersecurity. Therefore, this paper offers a comprehensive review of data-driven methods for detecting malicious websites. Traditional approaches and their limitations ... | [] | Train |
32,863 | 30 | Title: LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
Abstract: Prompt-tuning has emerged as an attractive paradigm for deploying large-scale language models due to its strong downstream task performance and efficient multitask serving ability. Despite its wide adoption, we empirically show that p... | [] | Train |
32,864 | 3 | Title: Education 5.0: Requirements, Enabling Technologies, and Future Directions
Abstract: We are currently in a post-pandemic era in which life has shifted to a digital world. This has affected many aspects of life, including education and learning. Education 5.0 refers to the fifth industrial revolution in education ... | [] | Test |
32,865 | 24 | Title: Tuning structure learning algorithms with out-of-sample and resampling strategies
Abstract: One of the challenges practitioners face when applying structure learning algorithms to their data involves determining a set of hyperparameters; otherwise, a set of hyperparameter defaults is assumed. The optimal hyperpa... | [
7403
] | Test |
32,866 | 23 | Title: Specification Inference for Evolving Systems
Abstract: In this paper, we propose an assertion-based approach to capture software evolution, through the notion of commit-relevant specification. A commit-relevant specification summarises the program properties that have changed as a consequence of a commit (unders... | [] | Train |
32,867 | 30 | Title: \`{I}r\`{o}y\`{i}nSpeech: A multi-purpose Yor\`{u}b\'{a} Speech Corpus
Abstract: We introduce the \`{I}r\`{o}y\`{i}nSpeech corpus -- a new dataset influenced by a desire to increase the amount of high quality, freely available, contemporary Yor\`{u}b\'{a} speech. We release a multi-purpose dataset that can be us... | [] | Train |
32,868 | 10 | Title: What is a decision problem?
Abstract: This paper presents a general framework about what is a decision problem. Our motivation is related to the fact that decision analysis and operational research are structured (as disciplines) around classes of methods, while instead we should first characterise the decision p... | [] | Validation |
32,869 | 24 | Title: A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series a... | [
40192,
42114,
37507,
45828,
35597,
2969,
19996,
40348,
29857,
14628,
20263,
15529,
17331,
36791,
16965,
38734,
18511,
31696,
40272,
1876,
44122,
31215,
42353,
4210,
25970,
42867,
7670,
3575,
23805
] | Test |
32,870 | 2 | Title: Engel’s Theorem in Mathlib
Abstract: nan | [] | Validation |
32,871 | 24 | Title: Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
Abstract: Modeling and simulations of pandemic dynamics play an essential role in understanding and addressing the spreading of highly infectious diseases such as COVID-19. In this work, we propose a novel deep learning ... | [
1888
] | Train |
32,872 | 30 | Title: SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation
Abstract: Scientific writing involves retrieving, summarizing, and citing relevant papers, which can be time-consuming processes. Although in many workflows these processes are serially linked, there are opportuni... | [] | Validation |
32,873 | 25 | Title: Sound-based drone fault classification using multitask learning
Abstract: The drone has been used for various purposes, including military applications, aerial photography, and pesticide spraying. However, the drone is vulnerable to external disturbances, and malfunction in propellers and motors can easily occur... | [] | Test |
32,874 | 16 | Title: DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation
Abstract: Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images. However, detecting power lines in aerial images is difficult,as the foreground data(i.e, p... | [] | Test |
32,875 | 16 | Title: Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving
Abstract: Environmental perception is a key element of autonomous driving because the information received from the perception module influences core driving decisions. An outstanding challenge in real-time perception fo... | [
31551
] | Train |
32,876 | 24 | Title: Optimizing Offensive Gameplan in the National Basketball Association with Machine Learning
Abstract: Throughout the analytical revolution that has occurred in the NBA, the development of specific metrics and formulas has given teams, coaches, and players a new way to see the game. However - the question arises -... | [] | Validation |
32,877 | 16 | Title: InpaintNeRF360: Text-Guided 3D Inpainting on Unbounded Neural Radiance Fields
Abstract: Neural Radiance Fields (NeRF) can generate highly realistic novel views. However, editing 3D scenes represented by NeRF across 360-degree views, particularly removing objects while preserving geometric and photometric consist... | [
12704,
19781,
541,
35263
] | Validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.