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 1551–1575 of 4891 papers

TitleStatusHype
Linear Partial Gromov-Wasserstein EmbeddingCode0
S-CFE: Simple Counterfactual ExplanationsCode0
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications—0
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering—0
A Kernelization-Based Approach to Nonparametric Binary Choice Models—0
Learning-to-Defer for Extractive Question Answering—0
LightFusionRec: Lightweight Transformers-Based Cross-Domain Recommendation Model—0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image RestorationCode2
Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
Advancing Physics Data Analysis through Machine Learning and Physics-Informed Neural Networks—0
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling—0
Combining Entropy and Matrix Nuclear Norm for Enhanced Evaluation of Language Models—0
Learning to Control the Smoothness of Graph Convolutional Network Features—0
Tensor Decomposition with Unaligned Observations—0
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion ModelCode3
Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers—0
Supervised Kernel ThinningCode0
Learning Efficient Representations of Neutrino Telescope EventsCode0
Adaptive and oblivious statistical adversaries are equivalent—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
RemoteDet-Mamba: A Hybrid Mamba-CNN Network for Multi-modal Object Detection in Remote Sensing Images—0
Quamba: A Post-Training Quantization Recipe for Selective State Space ModelsCode2
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified