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 1551–1600 of 4891 papers

TitleStatusHype
DLCM: a versatile multi-level solver for heterogeneous multicellular systems—0
Backup Plan Constrained Model Predictive Control—0
Adaptive and oblivious statistical adversaries are equivalent—0
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment—0
Efficient n-body simulations using physics informed graph neural networks—0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
Efficient Network Traffic Feature Sets for IoT Intrusion Detection—0
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning—0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—0
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design—0
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Backstepping Mean-Field Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems—0
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
Diverse super-resolution with pretrained deep hiererarchical VAEs—0
DITTO: Diffusion Inference-Time T-Optimization for Music Generation—0
Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm—0
Efficient Parallel Audio Generation using Group Masked Language Modeling—0
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs—0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making—0
Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations—0
Distribution-Aware Sampling and Weighted Model Counting for SAT—0
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data—0
Efficient Relational Learning with Hidden Variable Detection—0
Efficient Representations for High-Cardinality Categorical Variables in Machine Learning—0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
Efficient safe learning for controller tuning with experimental validation—0
American option pricing using generalised stochastic hybrid systems—0
Distributionally Robust Model Predictive Control with Total Variation Distance—0
Efficient Second-Order Neural Network Optimization via Adaptive Trust Region Methods—0
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning—0
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty—0
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks—0
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement—0
Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net—0
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering—0
Efficient State-Space Inference of Periodic Latent Force Models—0
Efficient Stochastic Gradient Hard Thresholding—0
Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology—0
Distributed Sketching Methods for Privacy Preserving Regression—0
Efficient Tensor Contraction via Fast Count Sketch—0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning—0
Distributed Flexible Nonlinear Tensor Factorization—0
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes—0
Show:102550
← PrevPage 32 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified