:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Vasudev, Adithya
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.11872
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling
by: Cheshmi, Seyyed Saeid, et al.
Published: (2025)

LEAP: Unlocking dLLM Parallelism via Lookahead Early-Convergence Token Detection
by: Zhang, Haohui, et al.
Published: (2026)

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
by: Kong, Lingkai, et al.
Published: (2025)

Bird Eye-View to Street-View: A Survey
by: Bajbaa, Khawlah, et al.
Published: (2024)

Revisiting FunnyBirds evaluation framework for prototypical parts networks
by: Opłatek, Szymon, et al.
Published: (2024)

Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
by: He, Zhenyu, et al.
Published: (2024)

Statistical Early Stopping for Reasoning Models
by: Xie, Yangxinyu, et al.
Published: (2026)

Early-stopping for Transformer model training
by: He, Jing, et al.
Published: (2025)

Rethinking Early Stopping: Refine, Then Calibrate
by: Berta, Eugène, et al.
Published: (2025)

Explainable AI For Early Detection Of Sepsis
by: Thakur, Atharva, et al.
Published: (2025)

IBiT: Utilizing Inductive Biases to Create a More Data Efficient Attention Mechanism
by: Giri, Adithya
Published: (2025)

Two Birds with One Stone: Multi-Task Semantic Communications Systems over Relay Channel
by: Cao, Yujie, et al.
Published: (2024)

Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying
by: Bian, Jieming, et al.
Published: (2022)

ESPO: Early-Stopping Proximal Policy Optimization
by: Li, Zihang, et al.
Published: (2026)

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction
by: Shi, Zhenmei, et al.
Published: (2024)

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
by: Zeng, Ziqian, et al.
Published: (2023)

One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
by: Wang, Bo, et al.
Published: (2024)

Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation
by: Shayegh, Behzad, et al.
Published: (2025)

Evaluating Neural Networks for Early Maritime Threat Detection
by: Tella, Dhanush, et al.
Published: (2024)

Federated Learning for Early Prediction of EV Charging Demand
by: Perifanis, Vasilis, et al.
Published: (2026)

Using Early Readouts to Mediate Featural Bias in Distillation
by: Tiwari, Rishabh, et al.
Published: (2023)

Early Prediction of Sepsis: Feature-Aligned Transfer Learning
by: Komolafe, Oyindolapo O., et al.
Published: (2025)

BEAM: Brainwave Empathy Assessment Model for Early Childhood
by: Xie, Chen, et al.
Published: (2025)

Early-Exit Neural Networks with Nested Prediction Sets
by: Jazbec, Metod, et al.
Published: (2023)

Reliability Estimation of News Media Sources: Birds of a Feather Flock Together
by: Burdisso, Sergio, et al.
Published: (2024)

Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
by: Mohan, Adithya, et al.
Published: (2025)

Circuits, Features, and Heuristics in Molecular Transformers
by: Varadi, Kristof, et al.
Published: (2025)

Don't Waste Your Time: Early Stopping Cross-Validation
by: Bergman, Edward, et al.
Published: (2024)

Planning-Augmented Sampling with Early Guidance for High-Reward Discovery
by: Zhu, Rui, et al.
Published: (2025)

Early-Warning Signals of Grokking via Loss-Landscape Geometry
by: Xu, Yongzhong
Published: (2026)

Early prediction of the risk of ICU mortality with Deep Federated Learning
by: Randl, Korbinian, et al.
Published: (2022)

Attention Consistency Regularization for Interpretable Early-Exit Neural Networks
by: Zhao, Yanhua
Published: (2026)

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
by: Dai, Muzhi, et al.
Published: (2025)

Improving Early Sepsis Onset Prediction Through Federated Learning
by: Düsing, Christoph, et al.
Published: (2025)

Demystifying the Recency Heuristic in Temporal-Difference Learning
by: Daley, Brett, et al.
Published: (2024)

Learning Admissible Heuristics for A*: Theory and Practice
by: Futuhi, Ehsan, et al.
Published: (2025)

BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations
by: Monninger, Thomas, et al.
Published: (2026)

Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying
by: Renduchintala, Adithya, et al.
Published: (2023)

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
by: Shao, Wei, et al.
Published: (2024)

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
by: Wynn, Andrea, et al.
Published: (2025)