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 1826–1850 of 4891 papers

TitleStatusHype
Autonomous and Connected Intersection Crossing Traffic Management using Discrete-Time Occupancies Trajectory—0
Fast and Blind Speech Copy-Move Detection and Localization in Noise—0
DISC: DISC: Dynamic Decomposition Improves LLM Inference Scaling—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Fast clustering for scalable statistical analysis on structured images—0
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving—0
Combining Retrospective Approximation with Importance Sampling for Optimising Conditional Value at Risk—0
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers—0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
Real-time Hybrid System Identification with Online Deterministic Annealing—0
Fast Density Estimation for Density-based Clustering Methods—0
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation—0
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions—0
Faster Machine Unlearning via Natural Gradient Descent—0
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing—0
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
A Machine Learning Based Classification Approach for Power Quality Disturbances Exploiting Higher Order Statistics in the EMD Domain—0
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation—0
Fast Gaussian Processes under Monotonicity Constraints—0
Fast global convergence rates of gradient methods for high-dimensional statistical recovery—0
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming—0
Directed Acyclic Graph Convolutional Networks—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified