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 2901–2950 of 4891 papers

TitleStatusHype
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
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning—0
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
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks—0
Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities—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
Kernel Heterogeneity Improves Sparseness of Natural Images RepresentationsCode0
Balancing Privacy, Robustness, and Efficiency in Machine Learning—0
Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging—0
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution—0
Machine learning and domain decomposition methods -- a survey—0
ZeroShape: Regression-based Zero-shot Shape ReconstructionCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
CRD: Collaborative Representation Distance for Practical Anomaly Detection—0
Optimizing Distributed Training on Frontier for Large Language Models—0
EPNet: An Efficient Pyramid Network for Enhanced Single-Image Super-Resolution with Reduced Computational Requirements—0
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition—0
Modeling non-linear Effects with Neural Networks in Relational Event ModelsCode0
YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI—0
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping—0
Agent Assessment of Others Through the Lens of Self—0
Linear Attention via Orthogonal Memory—0
A Multimodal Approach for Advanced Pest Detection and Classification—0
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier—0
Fast Decision Boundary based Out-of-Distribution DetectorCode0
A Hierarchical Nearest Neighbour Approach to Contextual Bandits—0
VideoLCM: Video Latent Consistency Model—0
A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation—0
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record GenerationCode0
Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning—0
R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning—0
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy—0
Guaranteed Trust Region Optimization via Two-Phase KL Penalization—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
Learning to sample in Cartesian MRI—0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
GenQ: Quantization in Low Data Regimes with Generative Synthetic DataCode0
Time-Domain Operational Metrics for Real-time Resilience Assessment in DC Microgrids—0
Differentiable Point-based Inverse Rendering—0
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities—0
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-OffCode0
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning—0
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi—0
Token Fusion: Bridging the Gap between Token Pruning and Token Merging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified