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 451–475 of 4891 papers

TitleStatusHype
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic ProcessesCode1
Learning Ego 3D Representation as Ray TracingCode1
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian SplattingCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot SystemsCode1
LightCTS: A Lightweight Framework for Correlated Time Series ForecastingCode1
DispFormer: Pretrained Transformer for Flexible Dispersion Curve Inversion from Global Synthesis to Regional ApplicationsCode1
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time ScalingCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
Anytime Sampling for Autoregressive Models via Ordered AutoencodingCode1
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
Long-Context Inference with Retrieval-Augmented Speculative DecodingCode1
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingCode1
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman ProblemCode1
LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance RepresentationCode1
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding BridgeCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingCode1
Delving into Masked Autoencoders for Multi-Label Thorax Disease ClassificationCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified