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 1351–1400 of 4891 papers

TitleStatusHype
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs—0
Adaptive Cyclic Diffusion for Inference Scaling—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
DS-VIO: Robust and Efficient Stereo Visual Inertial Odometry based on Dual Stage EKF—0
Bayesian l_0-regularized Least Squares—0
Adaptive Conditional Expert Selection Network for Multi-domain Recommendation—0
Bayesian inference for low rank spatiotemporal neural receptive fields—0
Local MDI+: Local Feature Importances for Tree-Based Models—0
Efficient Parallel Audio Generation using Group Masked Language Modeling—0
DRL-based Dolph-Tschebyscheff Beamforming in Downlink Transmission for Mobile Users—0
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
Scale-Space Hypernetworks for Efficient Biomedical Imaging—0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation—0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—0
DPERC: Direct Parameter Estimation for Mixed Data—0
Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data—0
Efficient PAC Learning from the Crowd—0
Efficient Polyp Segmentation Via Integrity Learning—0
Batch Normalization Sampling—0
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing—0
Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network—0
Efficient Optimization Accelerator Framework for Multistate Ising Problems—0
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression—0
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data—0
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator—0
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation—0
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction—0
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving—0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs—0
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
Adaptive Bayesian Optimization for High-Precision Motion Systems—0
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction—0
DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion—0
Dual Conditional Diffusion Models for Sequential Recommendation—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces—0
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization—0
Don't forget, there is more than forgetting: new metrics for Continual Learning—0
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption—0
Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm—0
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models—0
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX—0
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations—0
Show:102550
← PrevPage 28 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified