Imagen de Portada

Simple Lifelong Learning Machines

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dey, Jayanta, Vogelstein, Joshua T., Helm, Hayden S., LeVine, Will, Mehta, Ronak D., Tomita, Tyler M., Xu, Haoyin, Geisa, Ali, Wang, Qingyang, van de Ven, Gido M., Gao, Chenyu, Yang, Weiwei, Tower, Bryan, Larson, Jonathan, White, Christopher M., Priebe, Carey E.
Formato:	Preprint
Publicado:	2020
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards a theory of out-of-distribution learning
por: Dey, Jayanta, et al.
Publicado: (2021)

Extremely Simple Streaming Forest
por: Xu, Haoyin, et al.
Publicado: (2021)

Simple Calibration via Geodesic Kernels
por: Dey, Jayanta, et al.
Publicado: (2022)

Approximately optimal domain adaptation with Fisher's Linear Discriminant
por: Helm, Hayden S., et al.
Publicado: (2023)

When prompt perturbations break your A/B test: A valid statistical test for generative surveying
por: Helm, Hayden, et al.
Publicado: (2026)

Battery powered. The promise of energy storage / Steve LeVine
por: LeVine, Steve
Publicado: (2014)

Control Charts for Multi-agent Systems
por: Helm, Hayden, et al.
Publicado: (2026)

Black-box model classification under the discriminative factorization
por: Helm, Hayden, et al.
Publicado: (2026)

Query-efficient model evaluation using cached responses
por: Helm, Hayden, et al.
Publicado: (2026)

Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking
por: LeVine, Will, et al.
Publicado: (2025)

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
por: Acharyya, Aranyak, et al.
Publicado: (2025)

Comparing Foundation Models using Data Kernels
por: Duderstadt, Brandon, et al.
Publicado: (2023)

Volunteers in Education. Interim Evaluation Report July 1, 1971-June 30, 1972.
por: LeVine, Evelyn, et al.
Publicado: (1972)

Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection
por: Shen, Cencheng, et al.
Publicado: (2014)

From Distance Correlation to Multiscale Graph Correlation
por: Shen, Cencheng, et al.
Publicado: (2017)

Tracking the perspectives of interacting language models
por: Helm, Hayden, et al.
Publicado: (2024)

On the Computation of the Fisher Information in Continual Learning
por: van de Ven, Gido M.
Publicado: (2025)

Robust Vertex Classification
por: Chen, Li, et al.
Publicado: (2013)

Investigating social alignment via mirroring in a system of interacting language models
por: McGuinness, Harvey, et al.
Publicado: (2024)

Consistent estimation of generative model representations in the data kernel perspective space
por: Acharyya, Aranyak, et al.
Publicado: (2024)

Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics
por: Alyakin, Anton A., et al.
Publicado: (2020)

Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
por: Lee, Youjin, et al.
Publicado: (2017)

Statistical inference on black-box generative models in the data kernel perspective space
por: Helm, Hayden, et al.
Publicado: (2024)

RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement
por: LeVine, Will, et al.
Publicado: (2026)

A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift
por: LeVine, Will, et al.
Publicado: (2023)

Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs
por: Shen, Cencheng, et al.
Publicado: (2018)

Lifelong Learning of Video Diffusion Models From a Single Video Stream
por: Yoo, Jason, et al.
Publicado: (2024)

Independence Testing for Temporal Data
por: Shen, Cencheng, et al.
Publicado: (2019)

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
por: Chen, Guodong, et al.
Publicado: (2020)

Sparse Projection Oblique Randomer Forests
por: Tomita, Tyler M., et al.
Publicado: (2015)

Toward a digital twin of U.S. Congress
por: Helm, Hayden, et al.
Publicado: (2025)

Continual Learning and Catastrophic Forgetting
por: van de Ven, Gido M., et al.
Publicado: (2024)

Forgetting of task-specific knowledge in model merging-based continual learning
por: Hess, Timm, et al.
Publicado: (2025)

Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
por: Hess, Timm, et al.
Publicado: (2023)

Prediction Error-based Classification for Class-Incremental Learning
por: Zając, Michał, et al.
Publicado: (2023)

Discovering and Deciphering Relationships Across Disparate Data Modalities
por: Vogelstein, Joshua T., et al.
Publicado: (2016)

A Simple Spectral Failure Mode for Graph Convolutional Networks
por: Priebe, Carey E., et al.
Publicado: (2020)

Synergistic Graph Fusion via Encoder Embedding
por: Shen, Cencheng, et al.
Publicado: (2023)

Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
por: Shen, Cencheng, et al.
Publicado: (2024)

Explaining Categorical Feature Interactions Using Graph Covariance and LLMs
por: Shen, Cencheng, et al.
Publicado: (2025)