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 1201–1225 of 4891 papers

TitleStatusHype
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures—0
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
An Efficient FPGA Accelerator for Point Cloud—0
BitNet b1.58 2B4T Technical Report—0
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses—0
Accelerating the discovery of low-energy structure configurations: a computational approach that integrates first-principles calculations, Monte Carlo sampling, and Machine Learning—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information—0
An Efficient Approach to Encoding Context for Spoken Language Understanding—0
Adaptive Sampling for Continuous Group Equivariant Neural Networks—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces—0
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption—0
Dynamic Causal Models of Time-Varying Connectivity—0
Dynamic Token Selection for Aerial-Ground Person Re-Identification—0
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs—0
Adaptive Resolution Residual Networks -- Generalizing Across Resolutions Easily and Efficiently—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified