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 2526–2550 of 4891 papers

TitleStatusHype
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization—0
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing AidsCode1
Efficient Parallel Audio Generation using Group Masked Language Modeling—0
Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching—0
Look-Up Table Compression for Efficient Image RestorationCode1
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization—0
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought—0
Diffusion Models, Image Super-Resolution And Everything: A Survey—0
Viz: A QLoRA-based Copyright Marketplace for Legally Compliant Generative AI—0
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation—0
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning—0
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
TinyGPT-V: Efficient Multimodal Large Language Model via Small BackbonesCode3
RefineNet: Enhancing Text-to-Image Conversion with High-Resolution and Detail Accuracy through Hierarchical Transformers and Progressive Refinement—0
PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion—0
Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities—0
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks—0
On Robust Wasserstein Barycenter: The Model and Algorithm—0
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse HypergraphsCode0
Semantic Draw Engineering for Text-to-Image Creation—0
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic ScenesCode1
Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging—0
Kernel Heterogeneity Improves Sparseness of Natural Images RepresentationsCode0
Balancing Privacy, Robustness, and Efficiency in Machine Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified