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 1901–1925 of 4891 papers

TitleStatusHype
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning—0
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge—0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments—0
LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration FrameworkCode0
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks—0
Taylor-Expansion-Based Robust Power Flow in Unbalanced Distribution Systems: A Hybrid Data-Aided Method—0
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains—0
Multilevel Monte Carlo in Sample Average Approximation: Convergence, Complexity and Application—0
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual PersistenceCode0
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models—0
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?Code2
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH)—0
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
Scalify: scale propagation for efficient low-precision LLM trainingCode1
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing—0
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric TransformationCode0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update—0
Quantum Computing for Climate Resilience and Sustainability Challenges—0
Robust personalized pricing under uncertainty of purchase probabilities—0
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over TimeCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified