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 1401–1425 of 4891 papers

TitleStatusHype
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network—0
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problemsCode0
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context TrainingCode3
Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics—0
Quantum Attention for Vision Transformers in High Energy Physics—0
Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds—0
Real-Time Energy-Optimal Path Planning for Electric Vehicles—0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer PruningCode0
High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning—0
Data-to-Model Distillation: Data-Efficient Learning FrameworkCode0
S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation—0
Integrating and Comparing Radiality Constraints for Optimized Distribution System Reconfiguration—0
SynCoTrain: A Dual Classifier PU-learning Framework for Synthesizability Prediction—0
Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach—0
MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs—0
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated TextCode0
TSFormer: A Robust Framework for Efficient UHD Image Restoration—0
EROAM: Event-based Camera Rotational Odometry and Mapping in Real-time—0
LoRA Unlearns More and Retains More (Student Abstract)Code0
A Secure Estimator with Gaussian Bernoulli Mixture Model—0
Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images—0
DiffFNO: Diffusion Fourier Neural Operator—0
STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified