:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Jiménez Castro, Lucía
Format:	Recurso digital
Language:
Published:	Zenodo 2026
Online Access:	https://doi.org/10.5281/zenodo.18741462
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

APEX-Agents
by: Vidgen, Bertie, et al.
Published: (2026)

APEX-SWE
by: Kottamasu, Abhi, et al.
Published: (2026)

The effectiveness of MAE pre-pretraining for billion-scale pretraining
by: Singh, Mannat, et al.
Published: (2023)

Evaluation of pretrained language models on music understanding
by: Vasilakis, Yannis, et al.
Published: (2024)

The AI Productivity Index (APEX)
by: Vidgen, Bertie, et al.
Published: (2025)

Synthetic bootstrapped pretraining
by: Yang, Zitong, et al.
Published: (2025)

Synthetic continued pretraining
by: Yang, Zitong, et al.
Published: (2024)

Panda: A pretrained forecast model for chaotic dynamics
by: Lai, Jeffrey, et al.
Published: (2025)

CONCERTO at APEX -- On-sky performance in continuum
by: Hu, W., et al.
Published: (2024)

APEX Accelerator‐Option Period (DOD)
Published: (2025)

Admission POCUS Examination (APEX) Protocol
Published: (2025)

SmilesT5: Domain-specific pretraining for molecular language models
by: Spence, Philip, et al.
Published: (2025)

SuperAnimal pretrained pose estimation models for behavioral analysis
by: Ye, Shaokai, et al.
Published: (2022)

Fine-tune the pretrained ATST model for sound event detection
by: Shao, Nian, et al.
Published: (2023)

APEX: Audio Prototype EXplanations for Classification Tasks
by: Kawa, Piotr, et al.
Published: (2026)

APEX: Academic Poster Editing Agentic Expert
by: Shi, Chengxin, et al.
Published: (2026)

CHOLESTEATOMA OF THE PETROSAL APEX: A RARE TUMOR
by: Pykocz, Adrielle Holler, et al.
Published: (2024)

Hunting pre-stellar cores with APEX: overview
by: Caselli, P., et al.
Published: (2025)

MHW wins 2025 APEX Award of Excellence
by: Valerie A. Canady
Published: (2025)

Self-Improving Pretraining: using post-trained models to pretrain better models
by: Tan, Ellen Xiaoqing, et al.
Published: (2026)

Using pretrained models in ensemble learning for date fruits multiclass classification
by: Murat Eser, et al.
Published: (2025)

Evolution Strategies for Deep RL pretraining
by: Martínez, Adrian, et al.
Published: (2026)

Utilizing dynamic sparsity on pretrained DETR
by: Sedghi, Reza, et al.
Published: (2025)

APEX: Probing Neural Networks via Activation Perturbation
by: Ren, Tao, et al.
Published: (2026)

APEX: Automatic Event Sequence Generation for Android Applications
by: Chen, Wenhao, et al.
Published: (2025)

An effective interactive brain cytoarchitectonic parcellation framework using pretrained foundation model
by: Zhang, Shiqi, et al.
Published: (2026)

Online incremental learning for audio classification using a pretrained audio model
by: Mulimani, Manjunath, et al.
Published: (2025)

When marine radar target detection meets pretrained large language models
by: Hu, Qiying, et al.
Published: (2025)

Next-token pretraining implies in-context learning
by: Riechers, Paul M., et al.
Published: (2025)

APEX: Learning Adaptive High-Platform Traversal for Humanoid Robots
by: Wang, Yikai, et al.
Published: (2026)

APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
by: Li, Yibo, et al.
Published: (2026)

AMKID -- a large KID-based camera at the APEX telescope
by: Reyes, N., et al.
Published: (2025)

APEX_Galeocerdo_cuvier_SNP_NewCal_Postfiltering01
by: Vigliola, Laurent
Published: (2024)

APEX: Optimized vertical drift PDS for DUNE FD3
by: Marinho, F.
Published: (2025)

APEX: Automated Parameter Exploration for Low-Power Wireless Protocols
by: Hydher, Mohamed Hassaan M., et al.
Published: (2025)

APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
by: Li, Zihao, et al.
Published: (2024)

APEX: Attention on Personality based Emotion ReXgnition Framework
by: Fang, Ruijie, et al.
Published: (2024)

Mental Health Weekly wins 2024 APEX Award of Excellence
by: Valerie A. Canady
Published: (2024)

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
by: Adrian, Matthew, et al.
Published: (2025)

Multi-encoder nnU-Net outperforms transformer models with self-supervised pretraining
by: Otaghsara, Seyedeh Sahar Taheri, et al.
Published: (2025)