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 4076–4100 of 4891 papers

TitleStatusHype
Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingCode0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model CompressionCode0
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systemsCode0
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model ReasoningCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
Assessing Human Editing Effort on LLM-Generated Texts via Compression-Based Edit DistanceCode0
Inner and Inter Label Propagation: Salient Object Detection in the WildCode0
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore FrameworkCode0
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering TasksCode0
Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanCode0
Deep convolutional neural network for shape optimization using level-set approachCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Accelerating Distributed Deep Learning using Lossless Homomorphic CompressionCode0
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problemsCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large DocumentsCode0
Instance Segmentation of Biological Images Using Harmonic EmbeddingsCode0
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic DataCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous mediaCode0
On enhancing the robustness of Vision Transformers: Defensive DiffusionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified