Image de couverture de livre

Vision Transformers that Never Stop Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sun, Caihao, Yuan, Mingqi, Wang, Shiyuan, Chen, Jiayu
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning
par: Yuan, Mingqi, et autres
Publié: (2025)

Continual Policy Distillation from Distributed Reinforcement Learning Teachers
par: Li, Yuxuan, et autres
Publié: (2026)

AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps
par: Fan, Liaoyuan, et autres
Publié: (2026)

Transformers Can Learn Rules They've Never Seen: Proof of Computation Beyond Interpolation
par: Gray, Andy
Publié: (2026)

Unsupervised Abnormal Stop Detection for Long Distance Coaches with Low-Frequency GPS
par: Deng, Jiaxin, et autres
Publié: (2024)

Deep Reinforcement Learning with Hybrid Intrinsic Reward Model
par: Yuan, Mingqi, et autres
Publié: (2025)

Adaptive Data Exploitation in Deep Reinforcement Learning
par: Yuan, Mingqi, et autres
Publié: (2025)

Learning to Stop: Deep Learning for Mean Field Optimal Stopping
par: Magnino, Lorenzo, et autres
Publié: (2024)

ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning
par: Yuan, Mingqi, et autres
Publié: (2025)

Instance-dependent Early Stopping
par: Yuan, Suqin, et autres
Publié: (2025)

Early Stopping Tabular In-Context Learning
par: Küken, Jaris, et autres
Publié: (2025)

CViT: Continuous Vision Transformer for Operator Learning
par: Wang, Sifan, et autres
Publié: (2024)

Causal Inference on Stopped Random Walks in Online Advertising
par: Yu, Jia Yuan
Publié: (2026)

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift
par: Goel, Surbhi, et autres
Publié: (2026)

Energy-Weighted Flow Matching for Offline Reinforcement Learning
par: Zhang, Shiyuan, et autres
Publié: (2025)

There Was Never a Bottleneck in Concept Bottleneck Models
par: Almudévar, Antonio, et autres
Publié: (2025)

Bridging Molecular Graphs and Large Language Models
par: Wang, Runze, et autres
Publié: (2025)

Early Stopping Against Label Noise Without Validation Data
par: Yuan, Suqin, et autres
Publié: (2025)

When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping
par: Lee, Youngjoon, et autres
Publié: (2025)

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
par: Yuan, Mingqi, et autres
Publié: (2024)

PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations
par: Yuan, Mingqi, et autres
Publié: (2025)

Never Saddle for Reparameterized Steepest Descent as Mirror Flow
par: Jacobs, Tom, et autres
Publié: (2026)

AXELRAM: Quantize Once, Never Dequantize
par: Nishida, Yasushi
Publié: (2026)

Robust Intervention Learning from Emergency Stop Interventions
par: Pronovost, Ethan, et autres
Publié: (2026)

GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
par: Luo, Shiyuan, et autres
Publié: (2025)

Compressing LLMs: The Truth is Rarely Pure and Never Simple
par: Jaiswal, Ajay, et autres
Publié: (2023)

Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting
par: Wu, Mingqi, et autres
Publié: (2026)

Learning When to Stop: Adaptive Latent Reasoning via Reinforcement Learning
par: Ning, Alex, et autres
Publié: (2025)

Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation at Industrial Scale
par: Hu, Zheng, et autres
Publié: (2026)

Accelerating Optimization via Differentiable Stopping Time
par: Xie, Zhonglin, et autres
Publié: (2025)

Statistical Early Stopping for Reasoning Models
par: Xie, Yangxinyu, et autres
Publié: (2026)

PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
par: Wu, Mingqi, et autres
Publié: (2025)

A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search
par: Jain, Arnav Kumar, et autres
Publié: (2025)

An Efficient Private GPT Never Autoregressively Decodes
par: Li, Zhengyi, et autres
Publié: (2025)

Deep Learning for the Multiple Optimal Stopping Problem
par: Laurière, Mathieu, et autres
Publié: (2025)

SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
par: Fang, Jiayu, et autres
Publié: (2025)

Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning
par: Wang, Qi, et autres
Publié: (2025)

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization
par: Xu, Le, et autres
Publié: (2025)

Online Joint Assortment-Inventory Optimization under MNL Choices
par: Liang, Yong, et autres
Publié: (2023)

ARC: A Generalist Graph Anomaly Detector with In-Context Learning
par: Liu, Yixin, et autres
Publié: (2024)