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

Showing 37513800 of 4891 papers

TitleStatusHype
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model0
Obtaining Better Static Word Embeddings Using Contextual Embedding ModelsCode1
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximationsCode0
Learning Routines for Effective Off-Policy Reinforcement Learning0
Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography0
Nonuniform Defocus Removal for Image Classification0
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression0
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse KinematicsCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence0
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning0
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems0
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
Pixel super-resolved lensless on-chip sensor with scattering multiplexing0
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image RecognitionCode1
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation0
Robust Regularization with Adversarial Labelling of Perturbed Samples0
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networksCode1
Federated Learning for Short-term Residential Load Forecasting0
One4all User Representation for Recommender Systems in E-commerce0
Revisiting 2D Convolutional Neural Networks for Graph-based Applications0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers0
Deep learning of transition probability densities for stochastic asset models with applications in option pricing0
Statistical Optimality and Computational Efficiency of Nyström Kernel PCA0
Vision Transformer for Fast and Efficient Scene Text RecognitionCode1
Sparse solutions of the kernel herding algorithm by improved gradient approximation0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks0
Partitioned Active Learning for Heterogeneous Systems0
Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
Deep Unsupervised Hashing by Distilled Smooth Guidance0
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Energy-optimal Design and Control of Electric Vehicles' Transmissions0
Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic ArmsCode1
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization0
Stability Constrained Mobile Manipulation Planning on Rough Terrain0
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Adaptive Focus for Efficient Video RecognitionCode1
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization0
Spectral Machine Learning for Pancreatic Mass Imaging Classification0
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction0
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning0
ELF-VC: Efficient Learned Flexible-Rate Video Coding0
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-RepsCode1
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data0
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access0
Efficient training of physics-informed neural networks via importance sampling0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified