SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3051–3075 of 4891 papers

TitleStatusHype
QArchSearch: A Scalable Quantum Architecture Search Package—0
Focus on Local Regions for Query-based Object Detection—0
Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach—0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems—0
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems—0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Can pruning make Large Language Models more efficient?—0
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly—0
Learning to Reach Goals via DiffusionCode0
Privacy-preserving Multi-biometric Indexing based on Frequent Binary Patterns—0
Efficient Quantification and Representation of Aggregate Flexibility in Electric VehiclesCode0
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional NetworksCode0
Randomized Dimension Reduction with Statistical Guarantees—0
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers—0
An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance—0
Variance-Aware Regret Bounds for Stochastic Contextual Dueling BanditsCode0
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor SegmentationCode0
Robustifying State-space Models for Long Sequences via Approximate Diagonalization—0
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing—0
Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control—0
Efficient MPC for Emergency Evasive Maneuvers, Part I: Hybridization of the Nonlinear Problem—0
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model ReasoningCode0
Training and inference of large language models using 8-bit floating point—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified