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

Showing 9761000 of 4891 papers

TitleStatusHype
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark0
Approximate Model-Based Diagnosis Using Greedy Stochastic Search0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution0
Approximate Steepest Coordinate Descent0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA0
Approximate XVA for European claims0
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints0
Coil Sketching for computationally-efficient MR iterative reconstruction0
Conditional Expectation Propagation0
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression0
Configurable Foundation Models: Building LLMs from a Modular Perspective0
Conformal testing: binary case with Markov alternatives0
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method0
Cognitive maps are generative programs0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks0
1.58-bit FLUX0
A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning0
Deep Koopman Learning of Nonlinear Time-Varying Systems0
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement0
Deep Learning Improvements for Sparse Spatial Field Reconstruction0
Deep Video Demoireing via Compact Invertible Dyadic Decomposition0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified