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 1601–1650 of 4891 papers

TitleStatusHype
Self-Data Distillation for Recovering Quality in Pruned Large Language Models—0
Generalized Group Data Attribution—0
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning—0
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces—0
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement LearningCode2
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction—0
COrAL: Order-Agnostic Language Modeling for Efficient Iterative RefinementCode0
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position SearchCode0
pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2Code0
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications—0
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation—0
Optimal Downsampling for Imbalanced Classification with Generalized Linear Models—0
Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing StrategiesCode1
Privately Learning from Graphs with Applications in Fine-tuning Large Language ModelsCode0
Think Beyond Size: Adaptive Prompting for More Effective Reasoning—0
Scalable Co-Clustering for Large-Scale Data through Dynamic Partitioning and Hierarchical Merging—0
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation—0
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data—0
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation—0
Shap-Select: Lightweight Feature Selection Using SHAP Values and RegressionCode1
Quantum-Inspired Portfolio Optimization In The QUBO Framework—0
Accelerating the discovery of low-energy structure configurations: a computational approach that integrates first-principles calculations, Monte Carlo sampling, and Machine Learning—0
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time SeriesCode1
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
FLOPS: Forward Learning with OPtimal Sampling—0
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning—0
Residual Kolmogorov-Arnold Network for Enhanced Deep LearningCode3
SegINR: Segment-wise Implicit Neural Representation for Sequence Alignment in Neural Text-to-Speech—0
Granular Ball Twin Support Vector MachineCode0
GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA—0
CR-CTC: Consistency regularization on CTC for improved speech recognition—0
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification—0
Diffusion Models in 3D Vision: A Survey—0
Bisimulation metric for Model Predictive ControlCode0
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets—0
Spectral Densities, Structured Noise and Ensemble Averaging within Open Quantum Dynamics—0
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
STONE: A Submodular Optimization Framework for Active 3D Object DetectionCode0
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions—0
S7: Selective and Simplified State Space Layers for Sequence Modeling—0
Never Mind The No-Ops: Faster and Less Volatile Simulation Modelling of Co-Evolutionary Species Interactions via Spatial Cyclic GamesCode0
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal TransportCode0
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical SystemsCode0
Guaranteed-Safe MPPI Through Composite Control Barrier Functions for Efficient Sampling in Multi-Constrained Robotic Systems—0
Remember and Recall: Associative-Memory-based Trajectory Prediction—0
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement—0
Efficient Second-Order Neural Network Optimization via Adaptive Trust Region Methods—0
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for Efficient 3D Plant Reconstruction by a Robot—0
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified