Cover Image

AdaPerceiver: Transformers with Adaptive Width, Depth, and Tokens

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jajal, Purvish, Eliopoulos, Nick John, Chou, Benjamin Shiue-Hal, Thiruvathukal, George K., Lu, Yung-Hsiang, Davis, James C.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Token Turing Machines are Efficient Vision Models
by: Jajal, Purvish, et al.
Published: (2024)

Inference-Time Alignment of Diffusion Models via Evolutionary Algorithms
by: Jajal, Purvish, et al.
Published: (2025)

LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection
by: Chou, Benjamin Shiue-Hal, et al.
Published: (2025)

Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge
by: Eliopoulos, Nick John, et al.
Published: (2024)

Detecting Music Performance Errors with Transformers
by: Chou, Benjamin Shiue-Hal, et al.
Published: (2025)

Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem
by: Jajal, Purvish, et al.
Published: (2023)

Reusing Deep Learning Models: Challenges and Directions in Software Engineering
by: Davis, James C., et al.
Published: (2024)

Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions
by: Peng, Huiyun, et al.
Published: (2024)

Advancing Multi-Instrument Music Transcription: Results from the 2025 AMT Challenge
by: Chaturvedi, Ojas, et al.
Published: (2026)

Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software?
by: Hasler, Ryan, et al.
Published: (2024)

SysLLMatic: Large Language Models are Software System Optimizers
by: Peng, Huiyun, et al.
Published: (2025)

AdaPonderLM: Gated Pondering Language Models with Token-Wise Adaptive Depth
by: Song, Shixiang, et al.
Published: (2026)

AdaQAT: Adaptive Bit-Width Quantization-Aware Training
by: Gernigon, Cédric, et al.
Published: (2024)

Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis
by: Ravi, Nikita, et al.
Published: (2025)

Enfermería geri trica y gerontológica / Charlotte, Eliopoulos ; traductor, Félix García Roig, Ana Leticia Pacheco Perdiz, Néstor Zumaya C rdenas
by: Eliopoulos, Charlotte
Published: (2019)

Mixture of Universal Experts: Scaling Virtual Width via Depth-Width Transformation
by: Chen, Yilong, et al.
Published: (2026)

Now's the Time: Computer Science Must Evolve to Emphasize Software and Systems Engineering with Artificial Intelligence (AI)
by: Sekharan, Chandra N., et al.
Published: (2026)

What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims
by: Jones, Jason, et al.
Published: (2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation
by: Ni, Zanlin, et al.
Published: (2024)

Adaptive Computation Depth via Learned Token Routing in Transformers
by: Mohammed, Ahmed Abdelmuniem Abdalla
Published: (2026)

WIP: An Engaging Undergraduate Intro to Model Checking in Software Engineering Using TLA+
by: Läufer, Konstantin, et al.
Published: (2024)

Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
by: Yehudai, Gilad, et al.
Published: (2025)

AdaTok: Adaptive Token Compression with Object-Aware Representations for Efficient Multimodal LLMs
by: Zhang, Xinliang, et al.
Published: (2025)

Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization
by: Peng, Huiyun, et al.
Published: (2026)

"I see models being a whole other thing": An Empirical Study of Pre-Trained Model Naming Conventions and A Tool for Enhancing Naming Consistency
by: Jiang, Wenxin, et al.
Published: (2023)

AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding
by: Wang, Xiao, et al.
Published: (2025)

AdaCred: Adaptive Causal Decision Transformers with Feature Crediting
by: Kumawat, Hemant, et al.
Published: (2024)

A scalar interface reduction for nonlinear interface problems
by: Chou, So-Hsiang
Published: (2026)

A Lifting-Based Interface Reduction Framework for Nonlinear Transmission and Eigenvalue Problems
by: Chou, So-Hsiang
Published: (2026)

Operationalizing Research Software for Supply Chain Security
by: Kalu, Kelechi G., et al.
Published: (2026)

An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
by: Synovic, Nicholas M., et al.
Published: (2026)

AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models
by: Zeng, Zihao, et al.
Published: (2024)

AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback
by: Zhang, Wanpeng, et al.
Published: (2023)

AdaPTwin: Low-Cost Adaptive Compression of Product Twins in Transformers
by: Biju, Emil, et al.
Published: (2024)

AdaCorrection: Adaptive Offset Cache Correction for Accurate Diffusion Transformers
by: Liu, Dong, et al.
Published: (2026)

Process-based Indicators of Vulnerability Re-Introducing Code Changes: An Exploratory Case Study
by: Shimmi, Samiha, et al.
Published: (2025)

Recursive Vision Transformer with Dynamic Depth and Width Adjustment for Resource-Efficient Image Semantic Communication
by: Zhang, Zhilong, et al.
Published: (2026)

Prognostic Impact of Pregnancy‐Associated Plasma Protein‐A (PAPP‐A) for Gestational Diabetes Mellitus (GDM): An Updated Systematic Review and Meta‐Analysis of More Than 90 000 Pregnancies
by: Ing‐Luen Shyu, et al.
Published: (2025)

STAR: Semantic Table Representation with Header-Aware Clustering and Adaptive Weighted Fusion
by: Hsu, Shui-Hsiang, et al.
Published: (2026)

Adaptive Width Neural Networks
by: Errica, Federico, et al.
Published: (2025)