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 826–850 of 4891 papers

TitleStatusHype
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen BindingCode0
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage—0
TopK Language Models—0
FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection—0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos—0
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning—0
Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding—0
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension—0
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction—0
Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT—0
Cooperative Bistatic ISAC Systems for Low-Altitude Economy—0
Residual Connection-Enhanced ConvLSTM for Lithium Dendrite Growth Prediction—0
LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs—0
Scalable Machine Learning Algorithms using Path Signatures—0
PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space LearningCode0
Optimal Depth of Neural Networks—0
Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning—0
OmniReflect: Discovering Transferable Constitutions for LLM agents via Neuro-Symbolic Reflections—0
Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models—0
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified