:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Vashistha, Shikhar, Kumar, Neetesh
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2410.15849
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
di: Arora, Ashok, et al.
Pubblicazione: (2025)

Learning to Focus: Focal Attention for Selective and Scalable Transformers
di: Ram, Dhananjay, et al.
Pubblicazione: (2025)

Where Reliability Lives in Vision-Language Models: A Mechanistic Study of Attention, Hidden States, and Causal Circuits
di: Mann, Logan, et al.
Pubblicazione: (2026)

Focus and Dilution: The Multi-stage Learning Process of Attention
di: Chen, Zheng-An, et al.
Pubblicazione: (2026)

Linear Predictability of Attention Heads in Large Language Models
di: Shaikh, Khalid, et al.
Pubblicazione: (2026)

Attention Needs to Focus: A Unified Perspective on Attention Allocation
di: Fu, Zichuan, et al.
Pubblicazione: (2026)

Execution-Grounded Credit Assignment for GRPO in Code Generation
di: Kumar, Abhijit, et al.
Pubblicazione: (2026)

U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making
di: Vashistha, Ritwik, et al.
Pubblicazione: (2024)

L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
di: Li, Angqi, et al.
Pubblicazione: (2026)

SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection
di: Shukla, Shikhar
Pubblicazione: (2026)

Let's Focus: Focused Backdoor Attack against Federated Transfer Learning
di: Arazzi, Marco, et al.
Pubblicazione: (2024)

I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers
di: Vashistha, Ritwik, et al.
Pubblicazione: (2025)

Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
di: Liu, Zicheng, et al.
Pubblicazione: (2024)

Online Decision-Focused Learning
di: Capitaine, Aymeric, et al.
Pubblicazione: (2025)

GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
di: Hu, Zhaolin, et al.
Pubblicazione: (2025)

Focus Your Attention: Towards Data-Intuitive Lightweight Vision Transformers
di: Gaurav, Suyash, et al.
Pubblicazione: (2025)

Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval
di: Li, Siting, et al.
Pubblicazione: (2025)

Transformers Learn Faster with Semantic Focus
di: Ram, Parikshit, et al.
Pubblicazione: (2025)

Improvement-Focused Causal Recourse (ICR)
di: König, Gunnar, et al.
Pubblicazione: (2022)

Locally Convex Global Loss Network for Decision-Focused Learning
di: Jeon, Haeun, et al.
Pubblicazione: (2024)

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
di: Zhao, Yang, et al.
Pubblicazione: (2025)

Focus On What Matters: Separated Models For Visual-Based RL Generalization
di: Zhang, Di, et al.
Pubblicazione: (2024)

Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy
di: Soysal, Deniz, et al.
Pubblicazione: (2025)

Focused State Recognition Using EEG with Eye Movement-Assisted Annotation
di: Li, Tian-Hua, et al.
Pubblicazione: (2024)

GAIS: A Novel Approach to Instance Selection with Graph Attention Networks
di: Rustamov, Zahiriddin, et al.
Pubblicazione: (2024)

Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
di: Allegue, Daniel De Dios, et al.
Pubblicazione: (2025)

Narrowing the Focus: Learned Optimizers for Pretrained Models
di: Kristiansen, Gus, et al.
Pubblicazione: (2024)

Cybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning
di: Lebaku, Prathyush Kumar Reddy, et al.
Pubblicazione: (2025)

Prediction Loss Guided Decision-Focused Learning
di: Jeon, Haeun, et al.
Pubblicazione: (2025)

Focused PU learning from imbalanced data
di: Zavitsanos, Elias, et al.
Pubblicazione: (2026)

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
di: Mandi, Jayanta, et al.
Pubblicazione: (2023)

Decision-Focused Learning with Directional Gradients
di: Huang, Michael, et al.
Pubblicazione: (2024)

Robust Losses for Decision-Focused Learning
di: Schutte, Noah, et al.
Pubblicazione: (2023)

Imitation Learning via Focused Satisficing
di: Shah, Rushit N., et al.
Pubblicazione: (2025)

Logit Reweighting for Topic-Focused Summarization
di: Braun, Joschka, et al.
Pubblicazione: (2025)

On the Robustness of Decision-Focused Learning
di: Farhat, Yehya
Pubblicazione: (2023)

Personalized Layer Selection for Graph Neural Networks
di: Sharma, Kartik, et al.
Pubblicazione: (2025)

BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames
di: Mark, Max Sobol, et al.
Pubblicazione: (2026)

Decision-Focused Evaluation of Worst-Case Distribution Shift
di: Ren, Kevin, et al.
Pubblicazione: (2024)

Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity
di: Hao, Yitong, et al.
Pubblicazione: (2025)