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 1526–1550 of 4891 papers

TitleStatusHype
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction—0
Hybrid Deep Learning for Legal Text Analysis: Predicting Punishment Durations in Indonesian Court Rulings—0
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and ReasoningCode1
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimationCode0
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data—0
Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs—0
Multi-Agent Reinforcement Learning with Selective State-Space Models—0
LArctan-SKAN: Simple and Efficient Single-Parameterized Kolmogorov-Arnold Networks using Learnable Trigonometric FunctionCode0
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification—0
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models—0
Taipan: Efficient and Expressive State Space Language Models with Selective Attention—0
GeoLoRA: Geometric integration for parameter efficient fine-tuning—0
Automated Defect Detection and Grading of Piarom Dates Using Deep Learning—0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference—0
RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classification—0
Exploring Tokenization Methods for Multitrack Sheet Music Generation—0
Scalable Random Feature Latent Variable ModelsCode1
YOLOv11: An Overview of the Key Architectural EnhancementsCode0
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional ElementsCode0
Non-myopic Generation of Language Models for Reasoning and PlanningCode1
Combinatorial Logistic BanditsCode0
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modelingCode0
Linear Partial Gromov-Wasserstein EmbeddingCode0
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified