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 2501–2525 of 4891 papers

TitleStatusHype
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency—0
Stationary and Sparse Denoising Approach for Corticomuscular Causality Estimation—0
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
Repulsive Latent Score Distillation for Solving Inverse ProblemsCode0
Training-Free Exponential Context Extension via Cascading KV CacheCode0
SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted SurgeryCode0
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty—0
Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipeCode0
Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet—0
Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance—0
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level OptimizationCode0
Multilingual De-Duplication Strategies: Applying scalable similarity search with monolingual & multilingual embedding models—0
Tree-Sliced Wasserstein Distance: A Geometric Perspective—0
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction—0
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging—0
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy InterpolationCode0
Meta Reasoning for Large Language Models—0
Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations—0
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic—0
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection—0
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning—0
Group and Shuffle: Efficient Structured Orthogonal ParametrizationCode0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing—0
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified