One-Shot Collaborative Data Distillation
Fuente:
arXiv
Guardado en:
| Autores principales: | Holland, William, Thapa, Chandra, Siddiqui, Sarah Ali, Shao, Wei, Camtepe, Seyit |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Elevating Software Trust: Unveiling and Quantifying the Risk Landscape
por: Siddiqui, Sarah Ali, et al.
Publicado: (2024)
por: Siddiqui, Sarah Ali, et al.
Publicado: (2024)
Attacking Slicing Network via Side-channel Reinforcement Learning Attack
por: Shao, Wei, et al.
Publicado: (2024)
por: Shao, Wei, et al.
Publicado: (2024)
Parameter-efficient Quantum Multi-task Learning
por: Cowlessur, Hevish, et al.
Publicado: (2026)
por: Cowlessur, Hevish, et al.
Publicado: (2026)
Private Synthetic Data Generation in Bounded Memory
por: Holland, Rayne, et al.
Publicado: (2024)
por: Holland, Rayne, et al.
Publicado: (2024)
Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
por: Shafique, Muhammad Ali, et al.
Publicado: (2025)
por: Shafique, Muhammad Ali, et al.
Publicado: (2025)
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
por: Cowlessur, Hevish, et al.
Publicado: (2025)
por: Cowlessur, Hevish, et al.
Publicado: (2025)
FlowRL: Flow-Augmented Few-Shot Reinforcement Learning for Semi-Structured Sensor Data
por: Pivezhandi, Mohammad, et al.
Publicado: (2024)
por: Pivezhandi, Mohammad, et al.
Publicado: (2024)
Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations
por: Rao, Yiqi, et al.
Publicado: (2026)
por: Rao, Yiqi, et al.
Publicado: (2026)
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
por: Febrinanto, Falih Gozi, et al.
Publicado: (2023)
por: Febrinanto, Falih Gozi, et al.
Publicado: (2023)
Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning
por: Xu, Shuyao, et al.
Publicado: (2025)
por: Xu, Shuyao, et al.
Publicado: (2025)
Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection
por: Chhetri, Rajeeb Thapa, et al.
Publicado: (2025)
por: Chhetri, Rajeeb Thapa, et al.
Publicado: (2025)
Chunked TabPFN: Exact Training-Free In-Context Learning for Long-Context Tabular Data
por: Sergazinov, Renat, et al.
Publicado: (2025)
por: Sergazinov, Renat, et al.
Publicado: (2025)
Super Apriel: One Checkpoint, Many Speeds
por: Labs, SLAM, et al.
Publicado: (2026)
por: Labs, SLAM, et al.
Publicado: (2026)
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
por: Chapman, James, et al.
Publicado: (2025)
por: Chapman, James, et al.
Publicado: (2025)
REAP the Experts: Why Pruning Prevails for One-Shot MoE compression
por: Lasby, Mike, et al.
Publicado: (2025)
por: Lasby, Mike, et al.
Publicado: (2025)
Collaboration Promotes Group Resilience in Multi-Agent RL
por: Shraga, Ilai, et al.
Publicado: (2021)
por: Shraga, Ilai, et al.
Publicado: (2021)
Physics-Informed Policy Optimization via Analytic Dynamics Regularization
por: Chandra, Namai, et al.
Publicado: (2026)
por: Chandra, Namai, et al.
Publicado: (2026)
Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
por: Anand, Emile, et al.
Publicado: (2025)
por: Anand, Emile, et al.
Publicado: (2025)
Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning
por: Huertas, Carlos
Publicado: (2024)
por: Huertas, Carlos
Publicado: (2024)
Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features
por: McCann, Jordan F.
Publicado: (2026)
por: McCann, Jordan F.
Publicado: (2026)
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
por: Hung, Wei, et al.
Publicado: (2025)
por: Hung, Wei, et al.
Publicado: (2025)
Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
por: Smits, William
Publicado: (2026)
por: Smits, William
Publicado: (2026)
Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis
por: Suetake, Yamato, et al.
Publicado: (2026)
por: Suetake, Yamato, et al.
Publicado: (2026)
TELSAFE: Security Gap Quantitative Risk Assessment Framework
por: Siddiqui, Sarah Ali, et al.
Publicado: (2025)
por: Siddiqui, Sarah Ali, et al.
Publicado: (2025)
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
por: Yao, Tianjun, et al.
Publicado: (2024)
por: Yao, Tianjun, et al.
Publicado: (2024)
Domain Specific Data Distillation and Multi-modal Embedding Generation
por: Peddiraju, Sharadind, et al.
Publicado: (2024)
por: Peddiraju, Sharadind, et al.
Publicado: (2024)
Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies
por: Belinchon, Hugo Garrido-Lestache, et al.
Publicado: (2025)
por: Belinchon, Hugo Garrido-Lestache, et al.
Publicado: (2025)
Implicit Counterfactual Data Augmentation for Robust Learning
por: Zhou, Xiaoling, et al.
Publicado: (2023)
por: Zhou, Xiaoling, et al.
Publicado: (2023)
BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited Data
por: Tastet, Jean-Loup, et al.
Publicado: (2024)
por: Tastet, Jean-Loup, et al.
Publicado: (2024)
Agentic Cost-Aware Query Planning with Knowledge Distillation for Big Data Analytics
por: Naser-Moghadasi, Mahdi
Publicado: (2026)
por: Naser-Moghadasi, Mahdi
Publicado: (2026)
Perceptron Collaborative Filtering
por: Chakraborty, Arya
Publicado: (2024)
por: Chakraborty, Arya
Publicado: (2024)
confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods
por: Jha, Abhash Kumar, et al.
Publicado: (2025)
por: Jha, Abhash Kumar, et al.
Publicado: (2025)
Weakly Supervised Distillation of Hallucination Signals into Transformer Representations
por: Salehmohamed, Shoaib Sadiq, et al.
Publicado: (2026)
por: Salehmohamed, Shoaib Sadiq, et al.
Publicado: (2026)
Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
por: Perazzolo, Diego, et al.
Publicado: (2025)
por: Perazzolo, Diego, et al.
Publicado: (2025)
LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data
por: Wang, Changsheng, et al.
Publicado: (2025)
por: Wang, Changsheng, et al.
Publicado: (2025)
Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
por: Zhang, Gongbo, et al.
Publicado: (2026)
por: Zhang, Gongbo, et al.
Publicado: (2026)
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
por: Yang, Lishan, et al.
Publicado: (2025)
por: Yang, Lishan, et al.
Publicado: (2025)
Hyperoctant Search Clustering: A Method for Clustering Data in High-Dimensional Hyperspheres
por: Toledo-Acosta, Mauricio, et al.
Publicado: (2025)
por: Toledo-Acosta, Mauricio, et al.
Publicado: (2025)
When Does Adaptive Guidance Help? Belief-Aware Privileged Distillation for Autonomous Driving Under Partial Observability
por: Haklidir, Mehmet
Publicado: (2026)
por: Haklidir, Mehmet
Publicado: (2026)
DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)
por: Malarkkan, Arun Vignesh, et al.
Publicado: (2025)
Ejemplares similares
-
Elevating Software Trust: Unveiling and Quantifying the Risk Landscape
por: Siddiqui, Sarah Ali, et al.
Publicado: (2024) -
Attacking Slicing Network via Side-channel Reinforcement Learning Attack
por: Shao, Wei, et al.
Publicado: (2024) -
Parameter-efficient Quantum Multi-task Learning
por: Cowlessur, Hevish, et al.
Publicado: (2026) -
Private Synthetic Data Generation in Bounded Memory
por: Holland, Rayne, et al.
Publicado: (2024) -
Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
por: Shafique, Muhammad Ali, et al.
Publicado: (2025)