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 2276–2300 of 4891 papers

TitleStatusHype
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters—0
Decision Machines: Congruent Decision Trees—0
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
hi-RF: Incremental Learning Random Forest for large-scale multi-class Data Classification—0
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients—0
High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning—0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage—0
High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
A Hybrid Adaptive Nash Equilibrium Solver for Distributed Multi-Agent Systems with Game-Theoretic Jump Triggering—0
HMoE: Heterogeneous Mixture of Experts for Language Modeling—0
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning—0
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation—0
Improving Satellite Imagery Masking using Multi-task and Transfer Learning—0
High Performance Visual Tracking with Circular and Structural Operators—0
High Performance Computing of Gene Regulatory Networks using a Message-Passing Model—0
High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction—0
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies—0
How important are faces for person re-identification?—0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion—0
High Fidelity Text-to-Speech Via Discrete Tokens Using Token Transducer and Group Masked Language Model—0
How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension—0
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified