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 2051–2075 of 4891 papers

TitleStatusHype
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
HyColor: An Efficient Heuristic Algorithm for Graph Coloring—0
Differentially Private Community Detection for Stochastic Block Models—0
A Low-rank Projected Proximal Gradient Method for Spectral Compressed Sensing—0
Differentiable Turbulence: Closure as a partial differential equation constrained optimization—0
A Unified View of Optimal Kernel Hypothesis Testing—0
GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models—0
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data—0
Differentiable Point-based Inverse Rendering—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
A Unified Module for Accelerating STABLE-DIFFUSION: LCM-LORA—0
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis—0
Split-Merge: A Difference-based Approach for Dominant Eigenvalue Problem—0
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random—0
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods—0
Grid Evolution for Doubly Fractional Channel Estimation in OTFS Systems—0
DiffAutoML: Differentiable Joint Optimization for Efficient End-to-End Automated Machine Learning—0
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
DIET-SNN: A Low-Latency Spiking Neural Network with Direct Input Encoding & Leakage and Threshold Optimization—0
Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach—0
A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites—0
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization—0
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement—0
Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified