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 751–775 of 4891 papers

TitleStatusHype
Discrete Gaussian Process Representations for Optimising UAV-based Precision Weed Mapping—0
How Well Can Differential Privacy Be Audited in One Run?—0
Small Vision-Language Models: A Survey on Compact Architectures and Techniques—0
M^3amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing ClassificationCode1
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token EncodingsCode0
Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation—0
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models—0
Joint Location and Velocity Estimation and Fundamental CRLB Analysis for Cell-Free MIMO-ISAC—0
Seesaw: High-throughput LLM Inference via Model Re-sharding—0
Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs—0
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
Language modelling techniques for analysing the impact of human genetic variation—0
Multi-Grained Feature Pruning for Video-Based Human Pose Estimation—0
NoT: Federated Unlearning via Weight Negation—0
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction FrameworkCode1
Machine Learned Force Fields: Fundamentals, its reach, and challenges—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian ProcessCode2
Neural Configuration-Space Barriers for Manipulation Planning and Control—0
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMsCode1
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow OptimizationCode0
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks—0
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified