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 1526–1550 of 4891 papers

TitleStatusHype
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning—0
Backup Plan Constrained Model Predictive Control—0
Adaptive and oblivious statistical adversaries are equivalent—0
Online Importance Sampling for Stochastic Gradient Optimization—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models—0
Efficient Image Compression Using Advanced State Space Models—0
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning—0
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning—0
Backstepping Mean-Field Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems—0
Diverse super-resolution with pretrained deep hiererarchical VAEs—0
Efficient Large-Scale Multi-Modal Classification—0
DITTO: Diffusion Inference-Time T-Optimization for Music Generation—0
Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm—0
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—0
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—0
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation—0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance—0
Episodic Memory for Learning Subjective-Timescale Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified