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 3926–3950 of 4891 papers

TitleStatusHype
Conditional Expectation Propagation—0
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression—0
Configurable Foundation Models: Building LLMs from a Modular Perspective—0
Conformal testing: binary case with Markov alternatives—0
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting—0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition—0
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors—0
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
Constrained Trajectory Optimization for Hybrid Dynamical Systems—0
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition—0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments—0
Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing—0
Context-aware recommendations from implicit data via scalable tensor factorization—0
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework—0
Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images—0
Context-endcoding for neural network based skull stripping in magnetic resonance imaging—0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation—0
Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning—0
Contextually Structured Token Dependency Encoding for Large Language Models—0
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction—0
Contextual Multinomial Logit Bandits with General Value Functions—0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Contextual Reinforcement in Multimodal Token Compression for Large Language Models—0
Contingency-constrained economic dispatch with safe reinforcement learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified