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 1001–1025 of 4891 papers

TitleStatusHype
Constrained Trajectory Optimization for Hybrid Dynamical Systems—0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models—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
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—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
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
Architecting Digital Twins for Intelligent Transportation Systems—0
Continual Learning via Online Leverage Score Sampling—0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation—0
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified