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 926–950 of 4891 papers

TitleStatusHype
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments—0
NepTrain and NepTrainKit: Automated Active Learning and Visualization Toolkit for Neuroevolution Potentials—0
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens—0
HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation—0
Sparse Imagination for Efficient Visual World Model Planning—0
Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies—0
Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion—0
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines—0
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies—0
Quantization-based Bounds on the Wasserstein Metric—0
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs—0
Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes—0
Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free—0
Learning to Upsample and Upmix Audio in the Latent Domain—0
Label-shift robust federated feature screening for high-dimensional classification—0
The Security Threat of Compressed Projectors in Large Vision-Language Models—0
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching—0
Pretraining Deformable Image Registration Networks with Random ImagesCode0
Hyperbolic Dataset Distillation—0
K^2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson ProcessesCode0
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection—0
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study—0
Learning to Search for Vehicle Routing with Multiple Time Windows—0
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling—0
Learning Interpretable Differentiable Logic Networks for Tabular Regression—0
Show:102550
← PrevPage 38 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified