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 1551–1575 of 4891 papers

TitleStatusHype
Backstepping Mean-Field Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems—0
Diverse super-resolution with pretrained deep hiererarchical VAEs—0
DITTO: Diffusion Inference-Time T-Optimization for Music Generation—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
Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—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
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs—0
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
Evaluating the effectiveness, reliability and efficiency of a multi-objective sequential optimization approach for building performance design—0
Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing—0
Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy—0
Efficient Parallel Audio Generation using Group Masked Language Modeling—0
Distribution-Aware Sampling and Weighted Model Counting for SAT—0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
American option pricing using generalised stochastic hybrid systems—0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
Distributionally Robust Model Predictive Control with Total Variation Distance—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified