node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
31,378 | 9 | Title: Polynomial-Time Axioms of Choice and Polynomial-Time Cardinality
Abstract: nan | [] | Test |
31,379 | 10 | Title: Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
Abstract: With the development of various applications, such as social networks and knowledge graphs, graph data has been ubiquitous in the real world. Unfortunately, graphs usually suffer from being absent due to privacy-p... | [] | Train |
31,380 | 24 | Title: Fourier neural operator for real-time simulation of 3D dynamic urban microclimate
Abstract: Global urbanization has underscored the significance of urban microclimates for human comfort, health, and building/urban energy efficiency. They profoundly influence building design and urban planning as major environmen... | [
41085,
878
] | Test |
31,381 | 34 | Title: Optimal Uncoordinated Unique IDs
Abstract: In the Uncoordinated Unique Identifiers Problem (UUIDP) there are n independent instances of an algorithm A that generates IDs from a universe (1, ..., m) , and there is an adversary that requests IDs from these instances. The goal is to design A such that it minimizes ... | [] | Train |
31,382 | 30 | Title: IvyGPT: InteractiVe Chinese pathwaY language model in medical domain
Abstract: General large language models (LLMs) such as ChatGPT have shown remarkable success. However, such LLMs have not been widely adopted for medical purposes, due to poor accuracy and inability to provide medical advice. We propose IvyGPT,... | [
31218,
13700,
2102,
5815
] | Validation |
31,383 | 30 | Title: What makes a good pause? Investigating the turn-holding effects of fillers
Abstract: Filled pauses (or fillers), such as"uh"and"um", are frequent in spontaneous speech and can serve as a turn-holding cue for the listener, indicating that the current speaker is not done yet. In this paper, we use the recently pro... | [] | Test |
31,384 | 24 | Title: Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
Abstract: Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological substrates could be associated with treatment response variability. Understanding the sources o... | [] | Train |
31,385 | 16 | Title: R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild
Abstract: Semantic understanding of roadways is a key enabling factor for safe autonomous driving. However, existing autonomous driving datasets provide well-structured urban roads while ignoring unstructured roadways co... | [] | Validation |
31,386 | 16 | Title: SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation
Abstract: Animal pose estimation has become a crucial area of research, but the scarcity of annotated data is a significant challenge in developing accurate models. Synthetic data has emerged as a promising alternative, but it frequent... | [
34074
] | Test |
31,387 | 2 | Title: Equational Theorem Proving for Clauses over Strings
Abstract: Although reasoning about equations over strings has been extensively studied for several decades, little research has been done for equational reasoning on general clauses over strings. This paper introduces a new superposition calculus with strings a... | [] | Test |
31,388 | 23 | Title: Self-Edit: Fault-Aware Code Editor for Code Generation
Abstract: Large language models (LLMs) have demonstrated an impressive ability to generate codes on competitive programming tasks. However, with limited sample numbers, LLMs still suffer from poor accuracy. Inspired by the process of human programming, we pr... | [
2369,
37411,
35044,
3181,
42735,
11190,
10585,
3355,
41087
] | Test |
31,389 | 34 | Title: Streaming Edge Coloring with Asymptotically Optimal Colors
Abstract: Given a graph $G$, an edge-coloring is an assignment of colors to edges of $G$ such that any two edges sharing an endpoint receive different colors. By Vizing's celebrated theorem, any graph of maximum degree $\Delta$ needs at least $\Delta$ an... | [
33024
] | Train |
31,390 | 37 | Title: CommonGraph: Graph Analytics on Evolving Data (Abstract)
Abstract: We consider the problem of graph analytics on evolving graphs. In this scenario, a query typically needs to be applied to different snapshots of the graph over an extended time window. We propose CommonGraph, an approach for efficient processing ... | [] | Validation |
31,391 | 6 | Title: Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
Abstract: Sensing technologies deployed in the workplace can unobtrusively collect detailed data about individual activities and group interactions that are otherwise difficult to capture. A hopeful application of these technologies is that th... | [
26808,
33194
] | Test |
31,392 | 5 | Title: Raft-Forensics: High Performance CFT Consensus with Accountability for Byzantine Faults
Abstract: Crash fault tolerant (CFT) consensus algorithms are commonly used in scenarios where system components are trusted, such as enterprise settings. CFT algorithms offer high throughput and low latency, making them an a... | [] | Train |
31,393 | 24 | Title: Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
Abstract: We present SURE-Score: an approach for learning score-based generative models using training samples corrupted by additive Gaussian noise. When a large training set of clean samples is available, solving inverse problem... | [
7875,
26158
] | Test |
31,394 | 16 | Title: Differentiable Transportation Pruning
Abstract: Deep learning algorithms are increasingly employed at the edge. However, edge devices are resource constrained and thus require efficient deployment of deep neural networks. Pruning methods are a key tool for edge deployment as they can improve storage, compute, me... | [] | Test |
31,395 | 28 | Title: Estimation of Interference Correlation in mmWave Cellular Systems
Abstract: We consider a cellular network, where the uplink transmissions to a base station (BS) are interferenced by other devices, a condition that may occur, e.g., in cell-free networks or when using non-orthogonal multiple access (NOMA) techniq... | [] | Train |
31,396 | 27 | Title: NDT-Map-Code: A 3D global descriptor for real-time loop closure detection in lidar SLAM
Abstract: Loop-closure detection, also known as place recognition, aiming to identify previously visited locations, is an essential component of a SLAM system. Existing research on lidar-based loop closure heavily relies on d... | [] | Train |
31,397 | 30 | Title: WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
Abstract: We present WeaverBird, an intelligent dialogue system designed specifically for the finance domain. Our system harnesses a large language model of GPT architecture that has been tuned using ext... | [
33220,
24308,
27669,
32213,
634,
3711
] | Test |
31,398 | 11 | Title: Distributed Flocking Control of Aerial Vehicles Based on a Markov Random Field
Abstract: The distributed flocking control of collective aerial vehicles has extraordinary advantages in scalability and reliability, etc. However, it is still challenging to design a reliable, efficient, and responsive flocking algor... | [] | Test |
31,399 | 16 | Title: Egocentric Audio-Visual Object Localization
Abstract: Humans naturally perceive surrounding scenes by unifying sound and sight from a first-person view. Likewise, machines are advanced to approach human intelligence by learning with multisensory inputs from an egocentric perspective. In this paper, we explore th... | [
28641,
26375,
15583
] | Validation |
31,400 | 24 | Title: Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning
Abstract: The discovery of individual objectives in collective behavior of complex dynamical systems such as fish schools and bacteria colonies is a long-standing challenge. Inverse reinforcement learning is ... | [
8483
] | Validation |
31,401 | 31 | Title: Co-evolving Vector Quantization for ID-based Recommendation
Abstract: Category information plays a crucial role in enhancing the quality and personalization of recommendations. Nevertheless, the availability of item category information is not consistently present, particularly in the context of ID-based recomme... | [
7134,
32687
] | Train |
31,402 | 16 | Title: Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream
Abstract: Convenient 4D modeling of human-object interactions is essential for numerous applications. However, monocular tracking and rendering of complex interaction scenarios remain challenging. In this pa... | [] | Train |
31,403 | 30 | Title: Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling
Abstract: Neural sequence labeling (NSL) aims at assigning labels for input language tokens, which covers a broad range of applications, such as named entity recognition (NER) and slot filling, etc. However, the satisfying results achieved... | [
4059
] | Validation |
31,404 | 16 | Title: DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion
Abstract: We introduce a novel method to automatically generate an artistic typography by stylizing one or more letter fonts to visually convey the semantics of an input word, while ensuring that the output remains readable. To address an as... | [
15811
] | Train |
31,405 | 4 | Title: Determining the Optimal Frequencies for a Duplicated Randomized Clock SCA Countermeasure
Abstract: Side-channel attacks pose significant challenges to the security of embedded systems, often allowing attackers to circumvent encryption algorithms in minutes compared to the trillions of years required for brute-fo... | [] | Train |
31,406 | 30 | Title: Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques
Abstract: This paper presents our solutions for the MediaEval 2022 task on DisasterMM. The task is composed of two subtasks, namely (i) Relevance Classification of Twitter Posts (RCTP), and (ii) Location Extraction from Twitt... | [] | Train |
31,407 | 16 | Title: Incremental Image Labeling Via Iterative Refinement
Abstract: Data quality is critical for multimedia tasks, while various types of systematic flaws are found in image benchmark datasets, as discussed in recent work. In particular, the existence of the semantic gap problem leads to a many-to-many mapping between... | [
12633
] | Test |
31,408 | 16 | Title: Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images
Abstract: Recent camera-based 3D object detection methods have introduced sequential frames to improve the detection performance hoping that multiple frames would mitigate the large depth estimation error. Despite improved detection... | [] | Train |
31,409 | 23 | Title: Testability Refactoring in Pull Requests: Patterns and Trends
Abstract: To create unit tests, it may be necessary to refactor the production code, e.g. by widening access to specific methods or by decomposing classes into smaller units that are easier to test independently. We report on an extensive study to und... | [] | Validation |
31,410 | 24 | Title: SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
Abstract: We consider distributed learning scenarios where M machines interact with a parameter server along several communication rounds in order to minimize a joint objective function. Focusing on the heterogeneous case, where ... | [] | Train |
31,411 | 13 | Title: When Evolutionary Computation Meets Privacy
Abstract: Recently, evolutionary computation (EC) has been promoted by machine learning, distributed computing, and big data technologies, resulting in new research directions of EC like distributed EC and surrogate-assisted EC. These advances have significantly improv... | [] | Validation |
31,412 | 16 | Title: ROI-based Deep Image Compression with Swin Transformers
Abstract: Encoding the Region Of Interest (ROI) with better quality than the background has many applications including video conferencing systems, video surveillance and object-oriented vision tasks. In this paper, we propose a ROI-based image compression ... | [
13687
] | Validation |
31,413 | 16 | Title: GlobalMapper: Arbitrary-Shaped Urban Layout Generation
Abstract: Modeling and designing urban building layouts is of significant interest in computer vision, computer graphics, and urban applications. A building layout consists of a set of buildings in city blocks defined by a network of roads. We observe that b... | [
2633,
7915,
39629,
38151
] | Validation |
31,414 | 10 | Title: Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling
Abstract: Dairy farming can be an energy intensive form of farming. Understanding the factors affecting electricity consumption on dairy farms is crucial for farm owners and energy providers. In order to accurately estimate electr... | [] | Train |
31,415 | 10 | Title: An Interleaving Semantics of the Timed Concurrent Language for Argumentation to Model Debates and Dialogue Games
Abstract:
Time is a crucial factor in modelling dynamic behaviours of intelligent agents: activities have a determined temporal duration in a real-world environment, and previous actions influence a... | [] | Train |
31,416 | 16 | Title: TeViS:Translating Text Synopses to Video Storyboards
Abstract: A video storyboard is a roadmap for video creation which consists of shot-by-shot images to visualize key plots in a text synopsis. Creating video storyboards, however, remains challenging which not only requires cross-modal association between high-... | [] | Train |
31,417 | 30 | Title: Playing with Words: Comparing the Vocabulary and Lexical Richness of ChatGPT and Humans
Abstract: The introduction of Artificial Intelligence (AI) generative language models such as GPT (Generative Pre-trained Transformer) and tools such as ChatGPT has triggered a revolution that can transform how text is genera... | [
5227,
3250,
14133,
1239,
43930
] | Train |
31,418 | 24 | Title: From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task
Abstract: Neural networks are omnipresent, but remain poorly understood. Their increasing complexity and use in critical systems raises the important chall... | [
17740
] | Train |
31,419 | 26 | Title: SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection
Abstract: Social media is inherently about connecting and interacting with others. Different social media platforms have unique characteristics and user bases. Moreover, people use different platforms for various social and entertainme... | [] | Test |
31,420 | 10 | Title: AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach
Abstract: This paper introduces Artificial Intelligence Clinics on Mobile (AICOM), an open-source project devoted to answering the United Nations Sustainable Development Goal 3 (SDG3) on health, which represents a universal ... | [] | Train |
31,421 | 24 | Title: Multimodal Subtask Graph Generation from Instructional Videos
Abstract: Real-world tasks consist of multiple inter-dependent subtasks (e.g., a dirty pan needs to be washed before it can be used for cooking). In this work, we aim to model the causal dependencies between such subtasks from instructional videos des... | [
40207,
11071
] | Train |
31,422 | 16 | Title: Deep Multi-stream Network for Video-based Calving Sign Detection
Abstract: We have designed a deep multi-stream network for automatically detecting calving signs from video. Calving sign detection from a camera, which is a non-contact sensor, is expected to enable more efficient livestock management. As large-sc... | [] | Train |
31,423 | 27 | Title: Exploring Kinodynamic Fabrics for Reactive Whole-Body Control of Underactuated Humanoid Robots
Abstract: For bipedal humanoid robots to successfully operate in the real world, they must be competent at simultaneously executing multiple motion tasks while reacting to unforeseen external disturbances in real-time.... | [
24914
] | Train |
31,424 | 27 | Title: Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap
Abstract: Global point cloud registration is essential in many robotics tasks like loop closing and relocalization. Unfortunately, the registration often suffers from the low overlap between point clouds, a frequent occurrence in pract... | [
8514
] | Train |
31,425 | 39 | Title: Contact graphs of boxes with unidirectional contacts
Abstract: This paper is devoted to the study of particular geometrically defined intersection classes of graphs. Those were previously studied by Magnant and Martin, who proved that these graphs have arbitrary large chromatic number, while being triangle-free.... | [] | Train |
31,426 | 28 | Title: A Distributed Machine Learning-Based Approach for IRS-Enhanced Cell-Free MIMO Networks
Abstract: In cell-free multiple input multiple output (MIMO) networks, multiple base stations (BSs) collaborate to achieve high spectral efficiency. Nevertheless, high penetration loss due to large blockages in harsh propagati... | [] | Validation |
31,427 | 24 | Title: A LSTM and Cost-Sensitive Learning-Based Real-Time Warning for Civil Aviation Over-limit
Abstract: The issue of over-limit during passenger aircraft flights has drawn increasing attention in civil aviation due to its potential safety risks. To address this issue, real-time automated warning systems are essential... | [] | Train |
31,428 | 27 | Title: MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments
Abstract: Object rearrangement is a fundamental problem in robotics with various practical applications ranging from managing warehouses to cleaning and organizing home kitchens. While existing research has primarily focused on... | [] | Train |
31,429 | 24 | Title: Language models are weak learners
Abstract: A central notion in practical and theoretical machine learning is that of a $\textit{weak learner}$, classifiers that achieve better-than-random performance (on any given distribution over data), even by a small margin. Such weak learners form the practical basis for c... | [] | Train |
31,430 | 24 | Title: TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Abstract: Despite their success with unstructured data, deep neural networks are not yet a panacea for structured tabular data. In the tabular domain, their efficiency crucially relies on various forms of regulariz... | [
31536,
21486
] | Train |
31,431 | 30 | Title: Active Prompting with Chain-of-Thought for Large Language Models
Abstract: The increasing scale of large language models (LLMs) brings emergent abilities to various complex tasks requiring reasoning, such as arithmetic and commonsense reasoning. It is known that the effective design of task-specific prompts is c... | [
9734,
16392,
19727,
22289,
42657,
29604,
3624,
31923,
4660,
42165,
33207,
2369,
39889,
28886,
7127,
25943,
26471,
24552,
1644,
1528
] | Test |
31,432 | 10 | Title: Time-Selective RNN for Device-Free Multi-Room Human Presence Detection Using WiFi CSI
Abstract: Human presence detection is a crucial technology for various applications, including home automation, security, and healthcare. While camera-based systems have traditionally been used for this purpose, they raise priv... | [] | Train |
31,433 | 26 | Title: RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation
Abstract: As one of the most popular blockchain platforms supporting smart contracts, Ethereum has caught the interest of both investors and criminals. Differently from traditional financial scenarios, executing Know Your Cu... | [] | Train |
31,434 | 16 | Title: Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Abstract: Multiple Instance Learning (MIL) and transformers are increasingly popular in histopathology Whole Slide Image (WSI) classification. However, unlike human patho... | [
27951
] | Test |
31,435 | 30 | Title: A study of conceptual language similarity: comparison and evaluation
Abstract: An interesting line of research in natural language processing (NLP) aims to incorporate linguistic typology to bridge linguistic diversity and assist the research of low-resource languages. While most works construct linguistic simil... | [
42001,
26747
] | Train |
31,436 | 24 | Title: How many dimensions are required to find an adversarial example?
Abstract: Past work exploring adversarial vulnerability have focused on situations where an adversary can perturb all dimensions of model input. On the other hand, a range of recent works consider the case where either (i) an adversary can perturb ... | [
35899
] | Test |
31,437 | 5 | Title: Locksynth: Deriving Synchronization Code for Concurrent Data Structures with ASP
Abstract:
We present Locksynth, a tool that automatically derives synchronization needed for destructive updates to concurrent data structures that involve a constant number of shared heap memory write operations. Locksynth serves... | [] | Train |
31,438 | 25 | Title: Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
Abstract: Self-supervised learning (SSL) speech models such as wav2vec and HuBERT have demonstrated state-of-the-art performance on automatic speech recognition (ASR) and proved to be extremely useful in low label-res... | [] | Train |
31,439 | 30 | Title: Low-code LLM: Visual Programming over LLMs
Abstract: Effectively utilizing LLMs for complex tasks is challenging, often involving a time-consuming and uncontrollable prompt engineering process. This paper introduces a novel human-LLM interaction framework, Low-code LLM. It incorporates six types of simple low-co... | [
21180,
19747,
35580,
5,
13510,
15301,
44173,
3609,
43566,
35824,
11190,
41336,
1401,
4892,
39455
] | Test |
31,440 | 8 | Title: SegMobaTree: The Segmented Multilayer Online Balanced Tree for high-performance IPv6 Lookup in the Edge Network
Abstract: With the development of IPv6 and edge computing, the edge network should support IPv6 lookup (the longest prefix matching, LPM) with high lookup speed, high update speed, and low memory cost.... | [] | Test |
31,441 | 16 | Title: Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study
Abstract: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists employ personalized and high-dimensional visual search strategies, otherwise known as sear... | [] | Train |
31,442 | 16 | Title: Density Map Distillation for Incremental Object Counting
Abstract: We investigate the problem of incremental learning for object counting, where a method must learn to count a variety of object classes from a sequence of datasets. A naïve approach to incremental object counting would suffer from catastrophic for... | [] | Train |
31,443 | 16 | Title: An Effective Crop-Paste Pipeline for Few-shot Object Detection
Abstract: Few-shot object detection (FSOD) aims to expand an object detector for novel categories given only a few instances for training. However, detecting novel categories with only a few samples usually leads to the problem of misclassification. ... | [
21259
] | Validation |
31,444 | 31 | Title: Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning
Abstract: Sequential recommendation systems utilize the sequential interactions of users with items as their main supervision signals in learning users' preferences. However, existing methods usually generate unsatisfactory ... | [
35129,
1765
] | Train |
31,445 | 10 | Title: Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference
Abstract: The warming of the Arctic, also known as Arctic amplification, is led by several atmospheric and oceanic drivers. However, the details of its underlying thermodynamic causes are still unknown. Inferring the ... | [] | Test |
31,446 | 27 | Title: Trajectory Tracking via Multiscale Continuous Attractor Networks
Abstract: Animals and insects showcase remarkably robust and adept navigational abilities, up to literally circumnavigating the globe. Primary progress in robotics inspired by these natural systems has occurred in two areas: highly theoretical comp... | [] | Train |
31,447 | 24 | Title: Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks
Abstract: Unlearnable example attacks are data poisoning techniques that can be used to safeguard public data against unauthorized use for training deep learning models. These methods add stealthy perturbations to the origin... | [
31936,
12394,
33883,
18149
] | Train |
31,448 | 16 | Title: Neural Architecture Search for Visual Anomaly Segmentation
Abstract: This paper presents the first application of neural architecture search to the complex task of segmenting visual anomalies. Measurement of anomaly segmentation performance is challenging due to imbalanced anomaly pixels, varying region areas, a... | [] | Train |
31,449 | 34 | Title: Electrical Flows for Polylogarithmic Competitive Oblivious Routing
Abstract: Oblivious routing is a well-studied distributed paradigm that uses static precomputed routing tables for selecting routing paths within a network. Existing oblivious routing schemes with polylogarithmic competitive ratio for general net... | [] | Validation |
31,450 | 3 | Title: Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Abstract: Knowledge tracing (KT) is the problem of predicting students’ future performance based on their historical interactions with intelligent tutoring systems. Recent studies have applied multiple types of deep neural networks to solve the KT problem. Ho... | [
1352,
4657
] | Test |
31,451 | 16 | Title: Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark
Abstract: Seeing-in-the-dark is one of the most important and challenging computer vision tasks due to its wide applications and extreme complexities of in-the- wild scenarios. Existing arts can be mainly divided into two thread... | [
2501
] | Train |
31,452 | 30 | Title: Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition
Abstract: Existing large language models (LLMs) are known for generating"hallucinated"content, namely a fabricated text of plausibly looking, yet unfounded, facts. To identify when these hallucination scenarios occu... | [
37360
] | Train |
31,453 | 16 | Title: Semi Supervised Meta Learning for Spatiotemporal Learning
Abstract: We approached the goal of applying meta-learning to self-supervised masked autoencoders for spatiotemporal learning in three steps. Broadly, we seek to understand the impact of applying meta-learning to existing state-of-the-art representation l... | [] | Train |
31,454 | 37 | Title: Querying Data Exchange Settings Beyond Positive Queries
Abstract:
Data exchange, the problem of transferring data from a source schema to a target schema, has been studied for several years. The semantics of answering positive queries over the target schema has been defined in early work, but little attention ... | [] | Test |
31,455 | 30 | Title: Causal Intervention for Abstractive Related Work Generation
Abstract: Abstractive related work generation has attracted increasing attention in generating coherent related work that better helps readers grasp the background in the current research. However, most existing abstractive models ignore the inherent ca... | [] | Test |
31,456 | 27 | Title: Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information
Abstract: We improve reliable, long-horizon, goal-directed navigation in partially-mapped environments by using non-locally available information to predict the goodness of temporally-extended actions that enter uns... | [] | Train |
31,457 | 10 | Title: Diverse, Top-k, and Top-Quality Planning Over Simulators
Abstract: Diverse, top-k, and top-quality planning are concerned with the generation of sets of solutions to sequential decision problems. Previously this area has been the domain of classical planners that require a symbolic model of the problem instance.... | [
34763
] | Train |
31,458 | 4 | Title: Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness
Abstract: nan | [] | Train |
31,459 | 27 | Title: The effects of increasing velocity on the tractive performance of planetary rovers
Abstract: An emerging paradigm is being embraced in the conceptualization of future planetary exploration missions. Ambitious objectives and increasingly demanding mission constraints stress the importance associated with faster s... | [
23169
] | Validation |
31,460 | 24 | Title: FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
Abstract: Cross-silo federated learning (FL) enables the development of machine learning models on datasets distributed across data centers such as hospitals and clinical research laboratories. However, ... | [] | Validation |
31,461 | 16 | Title: Turning a CLIP Model into a Scene Text Spotter
Abstract: We exploit the potential of the large-scale Contrastive Language-Image Pretraining (CLIP) model to enhance scene text detection and spotting tasks, transforming it into a robust backbone, FastTCM-CR50. This backbone utilizes visual prompt learning and cros... | [
40219
] | Test |
31,462 | 24 | Title: Practically Solving LPN in High Noise Regimes Faster Using Neural Networks
Abstract: We conduct a systematic study of solving the learning parity with noise problem (LPN) using neural networks. Our main contribution is designing families of two-layer neural networks that practically outperform classical algorith... | [] | Validation |
31,463 | 31 | Title: A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance
Abstract: Measuring similarity between patents is an essential step to ensure novelty of innovation. However, a large number of methods of measuring the similarity between patents still rely on manual classification o... | [
21431
] | Train |
31,464 | 26 | Title: CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
Abstract: Graph Contrastive Learning (GCL) is an effective way to learn generalized graph representations in a self-supervised manner, and has grown rapidly in recent years. However, the underlying community semantics has not been well explored by mos... | [] | Train |
31,465 | 4 | Title: vFHE: Verifiable Fully Homomorphic Encryption with Blind Hash
Abstract: Fully homomorphic encryption (FHE) is a powerful encryption technique that allows for computation to be performed on ciphertext without the need for decryption. FHE will thus enable privacy-preserving computation and a wide range of applicat... | [
41568
] | Train |
31,466 | 16 | Title: Detector-Free Structure from Motion
Abstract: We propose a new structure-from-motion framework to recover accurate camera poses and point clouds from unordered images. Traditional SfM systems typically rely on the successful detection of repeatable keypoints across multiple views as the first step, which is diff... | [
39232
] | Train |
31,467 | 10 | Title: Scalable Educational Question Generation with Pre-trained Language Models
Abstract: The automatic generation of educational questions will play a key role in scaling online education, enabling self-assessment at scale when a global population is manoeuvring their personalised learning journeys. We develop \texti... | [
37450
] | Validation |
31,468 | 16 | Title: OSPC: Online Sequential Photometric Calibration
Abstract: Photometric calibration is essential to many computer vision applications. One of its key benefits is enhancing the performance of Visual SLAM, especially when it depends on a direct method for tracking, such as the standard KLT algorithm. Another advanta... | [] | Validation |
31,469 | 27 | Title: Towards Autonomous Selective Harvesting: A Review of Robot Perception, Robot Design, Motion Planning and Control
Abstract: This paper provides an overview of the current state-of-the-art in selective harvesting robots (SHRs) and their potential for addressing the challenges of global food production. SHRs have t... | [
16569,
18779,
2412,
29619
] | Train |
31,470 | 31 | Title: Learning to Tokenize for Generative Retrieval
Abstract: Conventional document retrieval techniques are mainly based on the index-retrieve paradigm. It is challenging to optimize pipelines based on this paradigm in an end-to-end manner. As an alternative, generative retrieval represents documents as identifiers (... | [
8139,
13523,
30143
] | Train |
31,471 | 24 | Title: Federated Variational Inference: Towards Improved Personalization and Generalization
Abstract: Conventional federated learning algorithms train a single global model by leveraging all participating clients' data. However, due to heterogeneity in client generative distributions and predictive models, these approa... | [] | Validation |
31,472 | 34 | Title: Parameterized Aspects of Distinct Kemeny Rank Aggregation
Abstract: The Kemeny method is one of the popular tools for rank aggregation. However, computing an optimal Kemeny ranking is NP-hard. Consequently, the computational task of finding a Kemeny ranking has been studied under the lens of parameterized comple... | [] | Train |
31,473 | 24 | Title: GBMST: An Efficient Minimum Spanning Tree Clustering Based on Granular-Ball Computing
Abstract: Most of the existing clustering methods are based on a single granularity of information, such as the distance and density of each data. This most fine-grained based approach is usually inefficient and susceptible to ... | [] | Test |
31,474 | 11 | Title: Deep Continuum Deformation Coordination and Optimization with Safety Guarantees
Abstract: In this paper, we develop and present a novel strategy for safe coordination of a large-scale multi-agent team with "local deformation" capabilities. Multi-agent coordination is defined by our proposed method as a multi-lay... | [] | Validation |
31,475 | 30 | Title: Model and Evaluation: Towards Fairness in Multilingual Text Classification
Abstract: Recently, more and more research has focused on addressing bias in text classification models. However, existing research mainly focuses on the fairness of monolingual text classification models, and research on fairness for mul... | [] | Validation |
31,476 | 30 | Title: LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack
Abstract: Natural language processing models are vulnerable to adversarial examples. Previous textual adversarial attacks adopt gradients or confidence scores to calculate word importance ranking and generate adversarial examples. How... | [
13224,
33791
] | Train |
31,477 | 24 | Title: AI for Anticipatory Action: Moving Beyond Climate Forecasting
Abstract: Disaster response agencies have been shifting from a paradigm of climate forecasting towards one of anticipatory action: assessing not just what the climate will be, but how it will impact specific populations, thereby enabling proactive res... | [] | Train |
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