Complex ECC Core

"Core" represents a recurring theme in diverse research areas, focusing on identifying and leveraging crucial elements within complex systems for improved efficiency and performance. Current research emphasizes developing algorithms and models, such as transformer-based architectures and reinforcement learning approaches, to effectively identify and utilize these "cores" in various contexts, from optimizing neural networks and improving error correction codes to enhancing recommendation systems and analyzing large-scale datasets. This focus on core components has significant implications for advancing fields ranging from machine learning and artificial intelligence to network analysis and medical image processing, ultimately leading to more efficient, robust, and insightful solutions.

Papers

August 28, 2024

CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
Feize Wu, Yun Pang, Junyi Zhang, Lianyu Pang, Jian Yin, Baoquan Zhao, Qing Li, Xudong Mao
LeArning Abstract Text to Image Visual Prompt Text Encoder Complex ECC Core

July 4, 2024

Core: Robust Factual Precision with Informative Sub-Claim Identification
Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme
Large Language Model Comparative Review Factual Accuracy Complex ECC Core Claim Extraction

June 7, 2024

Collaborative Team Recognition: A Core Plus Extension Structure
Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia
Complex ECC Core Collaborative Pattern Collaborative Team Academic Network

June 3, 2024

Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification
Jungmin Yun, Mihyeon Kim, Youngbin Kim
Transformer Based Model BERT Model Pre Trained Transformer Human Driving Focus Token Pruning Document Classification Efficient Attention Complex ECC Core Token Fusion Token Compression

May 2, 2024

CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes
Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No
Transformer Based Cross Attention Transformer Decoder Complex ECC Core Cross Attention Block Error Correcting Code Neural Network Decoder

April 28, 2024

Pragmatic Formal Verification of Sequential Error Detection and Correction Codes (ECCs) used in Safety-Critical Design
Aman Kumar
Error Detection Formal Verification Safety Critical System Complex ECC Core Error Correcting Code Error Bit

February 10, 2024

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
Nam Phuong Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
LeArning Abstract Stochastic Game Stochastic Convex Optimization Stochastic Reward Complex ECC Core Convex Game Stable Payoff Allocation

February 6, 2024

Approximating the Core via Iterative Coalition Sampling
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Cooperative Game Theory Complex ECC Core Cooperative Game Large Scale Linear Programming Game Decomposition

January 30, 2024

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat
Reinforcement Learning Causal Discovery Causal Graph Potential Scalability Causal Structure Complex ECC Core Causal Hierarchy

December 21, 2023

V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs
Penghao Wu, Saining Xie
Multimodal LLM Visual Search Complex ECC Core Visual Query

November 27, 2023

Characterising and Verifying the Core in Concurrent Multi-Player Mean-Payoff Games (Full Version)
Julian Gutierrez, Anthony W. Lin, Muhammad Najib, Thomas Steeples, Michael Wooldridge
New Characterization Cooperative Game Theory Decision Problem Complex ECC Core Cooperative AI Concurrent Game

November 25, 2023

E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation
Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao
Empathetic Dialogue Complex ECC Core

October 18, 2023

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
Domain Adaptation Complex ECC Core Relation Comprehension Relation Information Robust Domain Adaptation Shot Relation Word Relation

September 23, 2023

CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity
Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-chun Zhu
Non Convex Optimization Communication Complexity Low Complexity Distributed Optimization Large Scale Learning Complex ECC Core Random Vector

July 21, 2023

CORE: Cooperative Reconstruction for Multi-Agent Perception
Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, Tianfei Zhou
Perception Datasets Complex ECC Core Multi Agent Perception Multi Agent Collaborative Perception

June 29, 2023

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu
Reinforcement Learning Reinforcement Learning Algorithm Reinforcement Learning Benchmark Complex ECC Core Reinforcement Learning Application

March 24, 2023

Data Depth and Core-based Trend Detection on Blockchain Transaction Networks
Jason Zhu, Arijit Khan, Cuneyt Gurcan Akcora
Blockchain Based Platform Blockchain Network Depth Information Complex ECC Core Blockchain Transaction Trend Analysis Sentiment Aware

March 15, 2023

CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke
Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
Computed Tomography Quantum Shadow Stroke Detection Complex ECC Core Ischemic Stroke CT Perfusion

October 15, 2022

CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans
Omar Ali, Alexandre Bone, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohe, Eric Vibert, Irene Vignon-Clementel
Human Prediction Medical Image Complex ECC Core Liver Tumor Fetal Liver Preoperative CT

August 4, 2022

Core and Periphery as Closed-System Precepts for Engineering General Intelligence
Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter Beling
Artificial Intelligence System Complex ECC Core General Intelligence Closed System System Theory

Complex ECC Core

Papers

CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization

Core: Robust Factual Precision with Informative Sub-Claim Identification

Collaborative Team Recognition: A Core Plus Extension Structure

Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification

CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes

Pragmatic Formal Verification of Sequential Error Detection and Correction Codes (ECCs) used in Safety-Critical Design

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games

Approximating the Core via Iterative Coalition Sampling

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning

V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs

Characterising and Verifying the Core in Concurrent Multi-Player Mean-Payoff Games (Full Version)

E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation

CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity

CORE: Cooperative Reconstruction for Multi-Agent Perception

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores

Data Depth and Core-based Trend Detection on Blockchain Transaction Networks

CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke

CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans

Core and Periphery as Closed-System Precepts for Engineering General Intelligence