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 1301–1325 of 4891 papers

TitleStatusHype
Benchmarking Large Language Models with Integer Sequence Generation Tasks—0
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler—0
Adaptive Extensive Cancellation Algorithm and Harmonic Enhanced Heart Rate Estimation based on MMWave Radar—0
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI—0
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors—0
Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture—0
An Algorithm-Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers—0
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches—0
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering—0
Bee-yond the Plateau: Training QNNs with Swarm Algorithms—0
Adaptive Divergence-based Non-negative Latent Factor Analysis—0
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis—0
Accelerating Machine Learning Algorithms with Adaptive Sampling—0
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry—0
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data—0
ARES: An Efficient Algorithm with Recurrent Evaluation and Sampling-Driven Inference for Maximum Independent Set—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
Adaptive Direction-Guided Structure Tensor Total Variation—0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval—0
An Accelerated Camera 3DMA Framework for Efficient Urban GNSS Multipath Estimation—0
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones—0
Bayesian Structure Learning by Recursive Bootstrap—0
Bayesian Structural Model Updating with Multimodal Variational Autoencoder—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified