Papers Pathfinder
“Pathfinder” 태그가 달린 논문 43편 · 필터 해제
Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision
Large Language Models (LLMs) are prone to hallucination, especially during multi-hop and reasoning-intensive tasks such as mathematical problem solving. While Outcome Reward Models verify only final answers, Process Rewa…
HallucinationMathMathematical Problem-SolvingMathematical Reasoning+1PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology
Diagnosing diseases through histopathology whole slide images (WSIs) is fundamental in modern pathology but is challenged by the gigapixel scale and complexity of WSIs. Trained histopathologists overcome this challenge b…
Decision MakingDescriptiveDiagnosticMelanoma Diagnosis+4Identify As A Human Does: A Pathfinder of Next-Generation Anti-Cheat Framework for First-Person Shooter Games
The gaming industry has experienced substantial growth, but cheating in online games poses a significant threat to the integrity of the gaming experience. Cheating, particularly in first-person shooter (FPS) games, can l…
FPS GamesPathfinderPathfinder for Low-altitude Aircraft with Binary Neural Network
A prior global topological map (e.g., the OpenStreetMap, OSM) can boost the performance of autonomous mapping by a ground mobile robot. However, the prior map is usually incomplete due to lacking labeling in partial path…
BinarizationPathfinderRoad Segmentationpathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy
The exponential growth of astronomical literature poses significant challenges for researchers navigating and synthesizing general insights or even domain-specific knowledge. We present Pathfinder, a machine learning fra…
AstronomyPathfinderPathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot
The study of non-line-of-sight (NLOS) imaging is growing due to its many potential applications, including rescue operations and pedestrian detection by self-driving cars. However, implementing NLOS imaging on a moving c…
PathfinderPedestrian DetectionSelf-Driving CarsRG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey
We present source detection and catalogue construction pipelines to build the first catalogue of radio galaxies from the 270 $\rm deg^2$ pilot survey of the Evolutionary Map of the Universe (EMU-PS) conducted with the Au…
PathfinderClassification of compact radio sources in the Galactic plane with supervised machine learning
Generation of science-ready data from processed data products is one of the major challenges in next-generation radio continuum surveys with the Square Kilometre Array (SKA) and its precursors, due to the expected data v…
PathfinderDeep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes
This thesis comprises the first three chapters dedicated to providing an overview of Gamma Ray-Bursts (GRBs), their properties, the instrumentation used to detect them, and Artificial Intelligence (AI) applications in th…
Anomaly DetectionExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Feature Importance+1Investigating the Performance and Reliability, of the Q-Learning Algorithm in Various Unknown Environments
Self-reinforcement algorithms, especially Q-learning and value iteration have been popular and effective for navigating mobile robots. To provide a deeper insight through their performance and usage, this paper investiga…
OpenAI GymPathfinderQ-Learningreinforcement-learning+1PathFinder: Guided Search over Multi-Step Reasoning Paths
With recent advancements in large language models, methods like chain-of-thought prompting to elicit reasoning chains have been shown to improve results on reasoning tasks. However, tasks that require multiple steps of r…
PathfinderRadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts
Creating radio galaxy catalogues from next-generation deep surveys requires automated identification of associated components of extended sources and their corresponding infrared hosts. In this paper, we introduce RadioG…
2D Object Detectionobject-detectionObject DetectionPathfinderAdaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
Humans solving algorithmic (or) reasoning problems typically exhibit solution times that grow as a function of problem difficulty. Adaptive recurrent neural networks have been shown to exhibit this property for various l…
PathfinderVisual ReasoningZero-shot GeneralizationAdvanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera
This paper presents PathFinder and PathFinderPlus, two novel end-to-end computer vision frameworks designed specifically for advanced setting strategy classification in volleyball matches from a single camera view. Our f…
AllComputational EfficiencyPathfinderDeep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels
The present work discusses the use of a weakly-supervised deep learning algorithm that reduces the cost of labelling pixel-level masks for complex radio galaxies with multiple components. The algorithm is trained on weak…
Instance SegmentationPathfinderSemantic SegmentationThe Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
Biological cortical neurons are remarkably sophisticated computational devices, temporally integrating their vast synaptic input over an intricate dendritic tree, subject to complex, nonlinearly interacting internal biol…
16kClassificationLong-range modelingPathfinder+2Trustless Price Feeds of Cryptocurrencies: Pathfinder
Price feeds of securities is a critical component for many financial services, allowing for collateral liquidation, margin trading, derivative pricing and more. With the advent of blockchain technology, value in reportin…
PathfinderSearching for long faint astronomical high energy transients: a data driven approach
HERMES (High Energy Rapid Modular Ensemble of Satellites) pathfinder is an in-orbit demonstration consisting of a constellation of six 3U nano-satellites hosting simple but innovative detectors for the monitoring of cosm…
Anomaly DetectionPathfinderPositionSolar Wind Speed Estimate with Machine Learning Ensemble Models for LISA
In this work we study the potentialities of machine learning models in reconstructing the solar wind speed observations gathered in the first Lagrangian point by the ACE satellite in 2016--2017 using as input data galact…
PathfinderChaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events
Understanding and analyzing human behaviors (actions and interactions of people), voices, and sounds in chaotic events is crucial in many applications, e.g., crowd management, emergency response services. Different f…
Action LocalizationPathfinderSound Source Localization