Image de couverture de livre

SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hoang, Nguyen Le, Taniguchi, Tadahiro, Tianwei, Fang, Taniguchi, Akira
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Object Instance Retrieval in Assistive Robotics: Leveraging Fine-Tuned SimSiam with Multi-View Images Based on 3D Semantic Map
par: Sakaguchi, Taichi, et autres
Publié: (2024)

Generative Emergent Communication: Large Language Model is a Collective World Model
par: Taniguchi, Tadahiro, et autres
Publié: (2024)

Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
par: Ueda, Ryo, et autres
Publié: (2023)

Beyond Individuals: Collective Predictive Coding for Memory, Attention, and the Emergence of Language
par: Taniguchi, Tadahiro
Publié: (2025)

Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning
par: Sakaguchi, Taichi, et autres
Publié: (2024)

Emergent Communication between Heterogeneous Visual Agents through Decentralized Learning
par: Ochiai, Mikako, et autres
Publié: (2026)

Emergent Communication for Co-constructed Emotion Between Embodied Agents via Collective Predictive Coding
par: Zhang, Zehang, et autres
Publié: (2026)

Co-Creative Learning via Metropolis-Hastings Interaction between Humans and AI
par: Okumura, Ryota, et autres
Publié: (2025)

On Parallelism in Music and Language: A Perspective from Symbol Emergence Systems based on Probabilistic Generative Models
par: Taniguchi, Tadahiro
Publié: (2025)

Constructive Approach to Bidirectional Influence between Qualia Structure and Language Emergence
par: Taniguchi, Tadahiro, et autres
Publié: (2024)

Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference
par: Matsui, Yuta, et autres
Publié: (2025)

Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
par: Nakamura, Hiroki, et autres
Publié: (2023)

Hierarchical Path-planning from Speech Instructions with Spatial Concept-based Topometric Semantic Mapping
par: Taniguchi, Akira, et autres
Publié: (2022)

Decentralized Collective World Model for Emergent Communication and Coordination
par: Nomura, Kentaro, et autres
Publié: (2025)

A Hybrid Method for Low-Resource Named Entity Recognition
par: Duc, Do Minh, et autres
Publié: (2026)

Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions
par: Oyama, Akira, et autres
Publié: (2025)

STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains
par: Zhu, Chencheng, et autres
Publié: (2024)

A Combinatorial Approach to Neural Emergent Communication
par: Zhang, Zheyuan
Publié: (2024)

SiamGPT: Quality-First Fine-Tuning for Stable Thai Text Generation
par: Pairatsuppawat, Thittipat, et autres
Publié: (2025)

ContraSim -- Analyzing Neural Representations Based on Contrastive Learning
par: Rahamim, Adir, et autres
Publié: (2023)

Can LLMs Translate Human Instructions into a Reinforcement Learning Agent's Internal Emergent Symbolic Representation?
par: Ma, Ziqi, et autres
Publié: (2025)

SimSMoE: Solving Representational Collapse via Similarity Measure
par: Do, Giang, et autres
Publié: (2024)

When Names Disappear: Revealing What LLMs Actually Understand About Code
par: Le, Cuong Chi, et autres
Publié: (2025)

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples
par: Liang, Yunhao, et autres
Publié: (2025)

The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication
par: Kouwenhoven, Tom, et autres
Publié: (2024)

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
par: Yoshida, Naoto, et autres
Publié: (2025)

SRA: Span Representation Alignment for Large Language Model Distillation
par: Dao, Quoc Phong, et autres
Publié: (2026)

A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
par: Zhang, Haojie, et autres
Publié: (2024)

Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
par: Hoang, Cuong, et autres
Publié: (2026)

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning
par: Hashimoto, Saki, et autres
Publié: (2026)

Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments
par: Lê, Ngoc C., et autres
Publié: (2025)

Emergent World Beliefs: Exploring Transformers in Stochastic Games
par: Kamel, Adam, et autres
Publié: (2025)

Toward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model
par: Hashimoto, Saki, et autres
Publié: (2025)

UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
par: Pham, Trinh, et autres
Publié: (2024)

Non-commutative linear logic fragments with sub-context-free complexity
par: Nishimiya, Yusaku, et autres
Publié: (2025)

ViSpeechFormer: A Phonemic Approach for Vietnamese Automatic Speech Recognition
par: Nguyen, Khoa Anh, et autres
Publié: (2026)

Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
par: Nguyen, Minh Hoang, et autres
Publié: (2025)

Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment
par: Nguyen, Cong-Duy, et autres
Publié: (2023)

Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
par: An, Jingmin, et autres
Publié: (2025)

Large-scale User Game Lifecycle Representation Learning
par: Gou, Yanjie, et autres
Publié: (2025)