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 2376–2400 of 4891 papers

TitleStatusHype
Comparing large language models and human programmers for generating programming code—0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models—0
SNE-RoadSegV2: Advancing Heterogeneous Feature Fusion and Fallibility Awareness for Freespace Detection—0
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling—0
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting—0
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine TransformationsCode1
SparseLLM: Towards Global Pruning for Pre-trained Language ModelsCode2
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations—0
Quasi-Bayesian Estimation and Inference with Control Functions—0
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging—0
ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature ReductionCode0
Fast Algorithms for Quantile Regression with Selection—0
Dynamic Model of Back-to-Back Converter for System-Level Phasor Simulation—0
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning—0
Deep Neural Network Initialization with Sparsity Inducing Activations—0
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding BridgeCode1
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting—0
Fast Adversarial Attacks on Language Models In One GPU MinuteCode2
CFIR: Fast and Effective Long-Text To Image Retrieval for Large CorporaCode0
Efficient State Space Model via Fast Tensor Convolution and Block DiagonalizationCode0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization—0
opp/ai: Optimistic Privacy-Preserving AI on Blockchain—0
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified