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

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Showing 2551–2600 of 4891 papers

TitleStatusHype
ZeroShape: Regression-based Zero-shot Shape ReconstructionCode0
Machine learning and domain decomposition methods -- a survey—0
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution—0
CRD: Collaborative Representation Distance for Practical Anomaly Detection—0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
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
Optimizing Distributed Training on Frontier for Large Language Models—0
Modeling non-linear Effects with Neural Networks in Relational Event ModelsCode0
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping—0
YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI—0
A Multimodal Approach for Advanced Pest Detection and Classification—0
Linear Attention via Orthogonal Memory—0
Global-Local MAV Detection under Challenging Conditions based on Appearance and MotionCode1
Agent Assessment of Others Through the Lens of Self—0
Fast Decision Boundary based Out-of-Distribution DetectorCode0
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier—0
A Hierarchical Nearest Neighbour Approach to Contextual Bandits—0
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
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
Guaranteed Trust Region Optimization via Two-Phase KL Penalization—0
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy—0
GenQ: Quantization in Low Data Regimes with Generative Synthetic DataCode0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
Learning to sample in Cartesian MRI—0
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization ApproachCode1
Time-Domain Operational Metrics for Real-time Resilience Assessment in DC Microgrids—0
Differentiable Point-based Inverse Rendering—0
SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation SystemCode2
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-OffCode0
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning—0
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities—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
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution—0
Mamba: Linear-Time Sequence Modeling with Selective State SpacesCode6
Subspace Hybrid MVDR Beamforming for Augmented Hearing—0
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly DetectionCode0
LayerCollapse: Adaptive compression of neural networks—0
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks—0
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices—0
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections—0
Spatially Adaptive Cloth Regression with Implicit Neural Representations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified