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 3851–3900 of 4891 papers

TitleStatusHype
Joint Network Topology Inference via Structured Fusion Regularization—0
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsCode1
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference—0
Real-World Single Image Super-Resolution: A Brief ReviewCode1
Anharmonic Raman spectra simulation of crystals from deep neural networks—0
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place RecognitionCode1
A Pose-only Solution to Visual Reconstruction and NavigationCode1
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations—0
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech SeparationCode1
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks—0
Nested-block self-attention for robust radiotherapy planning segmentation—0
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach—0
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders—0
FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flowCode0
CausalX: Causal Explanations and Block Multilinear Factor Analysis—0
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics—0
Anytime Sampling for Autoregressive Models via Ordered AutoencodingCode1
Solving high-dimensional parabolic PDEs using the tensor train formatCode1
Computationally Efficient Learning of Statistical ManifoldsCode0
You Only Compress Once: Optimal Data Compression for Estimating Linear ModelsCode1
Generative Archimedean CopulasCode0
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inferenceCode0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
Sequence-based deep learning antibody design for in silico antibody affinity maturation—0
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning—0
The Variational Bayesian Inference for Network Autoregression Models—0
RFI Mitigation for One-bit UWB Radar Systems—0
On the Fundamental Limits of Exact Inference in Structured Prediction—0
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification—0
Structured Dropout Variational Inference for Bayesian Neural Networks—0
Top-k eXtreme Contextual Bandits with Arm HierarchyCode0
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks—0
Learning a Product Relevance Model from Click-Through Data in E-Commerce—0
Tight lower bounds for Dynamic Time WarpingCode0
Cerebral cortical communication overshadows computational energy-use, but these combine to predict synapse number—0
Dynamic Neural Networks: A Survey—0
Fast and Accurate Amplitude Demodulation of Wideband SignalsCode0
Refining a -nearest neighbor graph for a computationally efficient spectral clusteringCode0
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO—0
A Universal Framework for Featurization of Atomistic SystemsCode0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
Learning the Update Operator for 2D/3D Image Registration—0
Subdimensional Expansion for Multi-objective Multi-agent Path FindingCode1
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
A Multiscale Environment for Learning by DiffusionCode0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Recurrent Localization Networks applied to the Lippmann-Schwinger EquationCode0
Decision Machines: Congruent Decision Trees—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified