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 38263850 of 4891 papers

TitleStatusHype
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events0
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning0
One4all User Representation for Recommender Systems in E-commerce0
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation0
On Efficiency in Hierarchical Reinforcement Learning0
One Model to Rank Them All: Unifying Online Advertising with End-to-End Learning0
One-Shot Coordination of First and Last Mode Transportation0
One-Shot Image Restoration0
OneTrack-M: A multitask approach to transformer-based MOT models0
One Transform To Compute Them All: Efficient Fusion-Based Full-Reference Video Quality Assessment0
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models0
On Learning Disentangled Representations for Gait Recognition0
Online and Offline Robust Multivariate Linear Regression0
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint0
Online Continual Learning from Imbalanced Data0
Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks0
Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes0
Online federated learning framework for classification0
Online Learning of Dynamical Systems: An Operator Theoretic Approach0
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism0
Online Nonnegative Matrix Factorization with General Divergences0
Online Nonnegative Matrix Factorization with Outliers0
Online Two-stage Thermal History Prediction Method for Metal Additive Manufacturing of Thin Walls0
Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams0
On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified