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 3851–3875 of 4891 papers

TitleStatusHype
Clifford Circuits can be Properly PAC Learned if and only if RP=NP—0
CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination—0
Closed-form Filtering for Non-linear Systems—0
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images—0
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation—0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement—0
CNN Mixture-of-Depths—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models—0
Cognitive maps are generative programs—0
Coil Sketching for computationally-efficient MR iterative reconstruction—0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems—0
Collaborative Group Learning—0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach—0
Collaborative Learning with Different Labeling Functions—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching—0
Combinatorial Attacks on Binarized Neural Networks—0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization—0
Combining Entropy and Matrix Nuclear Norm for Enhanced Evaluation of Language Models—0
Combining GCN Structural Learning with LLM Chemical Knowledge for or Enhanced Virtual Screening—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified