Focus Where It Matters: Graph Selective State Focused Attention Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Vashistha, Shikhar, Kumar, Neetesh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
by: Arora, Ashok, et al.
Published: (2025)
by: Arora, Ashok, et al.
Published: (2025)
Learning to Focus: Focal Attention for Selective and Scalable Transformers
by: Ram, Dhananjay, et al.
Published: (2025)
by: Ram, Dhananjay, et al.
Published: (2025)
Focus and Dilution: The Multi-stage Learning Process of Attention
by: Chen, Zheng-An, et al.
Published: (2026)
by: Chen, Zheng-An, et al.
Published: (2026)
Where Reliability Lives in Vision-Language Models: A Mechanistic Study of Attention, Hidden States, and Causal Circuits
by: Mann, Logan, et al.
Published: (2026)
by: Mann, Logan, et al.
Published: (2026)
Attention Needs to Focus: A Unified Perspective on Attention Allocation
by: Fu, Zichuan, et al.
Published: (2026)
by: Fu, Zichuan, et al.
Published: (2026)
Linear Predictability of Attention Heads in Large Language Models
by: Shaikh, Khalid, et al.
Published: (2026)
by: Shaikh, Khalid, et al.
Published: (2026)
L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
by: Li, Angqi, et al.
Published: (2026)
by: Li, Angqi, et al.
Published: (2026)
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
by: Liu, Zicheng, et al.
Published: (2024)
by: Liu, Zicheng, et al.
Published: (2024)
Execution-Grounded Credit Assignment for GRPO in Code Generation
by: Kumar, Abhijit, et al.
Published: (2026)
by: Kumar, Abhijit, et al.
Published: (2026)
Online Decision-Focused Learning
by: Capitaine, Aymeric, et al.
Published: (2025)
by: Capitaine, Aymeric, et al.
Published: (2025)
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning
by: Arazzi, Marco, et al.
Published: (2024)
by: Arazzi, Marco, et al.
Published: (2024)
U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making
by: Vashistha, Ritwik, et al.
Published: (2024)
by: Vashistha, Ritwik, et al.
Published: (2024)
GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
by: Hu, Zhaolin, et al.
Published: (2025)
by: Hu, Zhaolin, et al.
Published: (2025)
Focus Your Attention: Towards Data-Intuitive Lightweight Vision Transformers
by: Gaurav, Suyash, et al.
Published: (2025)
by: Gaurav, Suyash, et al.
Published: (2025)
Transformers Learn Faster with Semantic Focus
by: Ram, Parikshit, et al.
Published: (2025)
by: Ram, Parikshit, et al.
Published: (2025)
Improvement-Focused Causal Recourse (ICR)
by: König, Gunnar, et al.
Published: (2022)
by: König, Gunnar, et al.
Published: (2022)
I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers
by: Vashistha, Ritwik, et al.
Published: (2025)
by: Vashistha, Ritwik, et al.
Published: (2025)
Locally Convex Global Loss Network for Decision-Focused Learning
by: Jeon, Haeun, et al.
Published: (2024)
by: Jeon, Haeun, et al.
Published: (2024)
GAIS: A Novel Approach to Instance Selection with Graph Attention Networks
by: Rustamov, Zahiriddin, et al.
Published: (2024)
by: Rustamov, Zahiriddin, et al.
Published: (2024)
SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection
by: Shukla, Shikhar
Published: (2026)
by: Shukla, Shikhar
Published: (2026)
Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy
by: Soysal, Deniz, et al.
Published: (2025)
by: Soysal, Deniz, et al.
Published: (2025)
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
by: Zhao, Yang, et al.
Published: (2025)
by: Zhao, Yang, et al.
Published: (2025)
Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval
by: Li, Siting, et al.
Published: (2025)
by: Li, Siting, et al.
Published: (2025)
Narrowing the Focus: Learned Optimizers for Pretrained Models
by: Kristiansen, Gus, et al.
Published: (2024)
by: Kristiansen, Gus, et al.
Published: (2024)
Prediction Loss Guided Decision-Focused Learning
by: Jeon, Haeun, et al.
Published: (2025)
by: Jeon, Haeun, et al.
Published: (2025)
Focused PU learning from imbalanced data
by: Zavitsanos, Elias, et al.
Published: (2026)
by: Zavitsanos, Elias, et al.
Published: (2026)
Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
by: Allegue, Daniel De Dios, et al.
Published: (2025)
by: Allegue, Daniel De Dios, et al.
Published: (2025)
Cybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning
by: Lebaku, Prathyush Kumar Reddy, et al.
Published: (2025)
by: Lebaku, Prathyush Kumar Reddy, et al.
Published: (2025)
Focused State Recognition Using EEG with Eye Movement-Assisted Annotation
by: Li, Tian-Hua, et al.
Published: (2024)
by: Li, Tian-Hua, et al.
Published: (2024)
Focus On What Matters: Separated Models For Visual-Based RL Generalization
by: Zhang, Di, et al.
Published: (2024)
by: Zhang, Di, et al.
Published: (2024)
Personalized Layer Selection for Graph Neural Networks
by: Sharma, Kartik, et al.
Published: (2025)
by: Sharma, Kartik, et al.
Published: (2025)
Decision-Focused Learning with Directional Gradients
by: Huang, Michael, et al.
Published: (2024)
by: Huang, Michael, et al.
Published: (2024)
Robust Losses for Decision-Focused Learning
by: Schutte, Noah, et al.
Published: (2023)
by: Schutte, Noah, et al.
Published: (2023)
Imitation Learning via Focused Satisficing
by: Shah, Rushit N., et al.
Published: (2025)
by: Shah, Rushit N., et al.
Published: (2025)
Logit Reweighting for Topic-Focused Summarization
by: Braun, Joschka, et al.
Published: (2025)
by: Braun, Joschka, et al.
Published: (2025)
Decision-Focused Evaluation of Worst-Case Distribution Shift
by: Ren, Kevin, et al.
Published: (2024)
by: Ren, Kevin, et al.
Published: (2024)
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
by: Mandi, Jayanta, et al.
Published: (2023)
by: Mandi, Jayanta, et al.
Published: (2023)
Deep Graph Attention Networks
by: Kato, Jun, et al.
Published: (2024)
by: Kato, Jun, et al.
Published: (2024)
BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames
by: Mark, Max Sobol, et al.
Published: (2026)
by: Mark, Max Sobol, et al.
Published: (2026)
On the Robustness of Decision-Focused Learning
by: Farhat, Yehya
Published: (2023)
by: Farhat, Yehya
Published: (2023)
Similar Items
-
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
by: Arora, Ashok, et al.
Published: (2025) -
Learning to Focus: Focal Attention for Selective and Scalable Transformers
by: Ram, Dhananjay, et al.
Published: (2025) -
Focus and Dilution: The Multi-stage Learning Process of Attention
by: Chen, Zheng-An, et al.
Published: (2026) -
Where Reliability Lives in Vision-Language Models: A Mechanistic Study of Attention, Hidden States, and Causal Circuits
by: Mann, Logan, et al.
Published: (2026) -
Attention Needs to Focus: A Unified Perspective on Attention Allocation
by: Fu, Zichuan, et al.
Published: (2026)