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 651–700 of 4891 papers

TitleStatusHype
Fast Point TransformerCode1
Fully Attentional Network for Semantic SegmentationCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Sparse DETR: Efficient End-to-End Object Detection with Learnable SparsityCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender SystemsCode1
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
Neural Flows: Efficient Alternative to Neural ODEsCode1
SOFT: Softmax-free Transformer with Linear ComplexityCode1
SIN:Superpixel Interpolation NetworkCode1
Output Space Entropy Search Framework for Multi-Objective Bayesian OptimizationCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image ClassificationCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural NetworksCode1
Transformer-based Transform CodingCode1
Fast TreeSHAP: Accelerating SHAP Value Computation for TreesCode1
AI Accelerator Survey and TrendsCode1
An MRC Framework for Semantic Role LabelingCode1
Voxel Transformer for 3D Object DetectionCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
Token Shift Transformer for Video ClassificationCode1
Multi-scale Matching Networks for Semantic CorrespondenceCode1
Learning Span-Level Interactions for Aspect Sentiment Triplet ExtractionCode1
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsCode1
Adaptive wavelet distillation from neural networks through interpretationsCode1
Transformer-based Machine Learning for Fast SAT Solvers and Logic SynthesisCode1
Training Adaptive Computation for Open-Domain Question Answering with Computational ConstraintsCode1
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
Obtaining Better Static Word Embeddings Using Contextual Embedding ModelsCode1
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image RecognitionCode1
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networksCode1
Vision Transformer for Fast and Efficient Scene Text RecognitionCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic ArmsCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Adaptive Focus for Efficient Video RecognitionCode1
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-RepsCode1
The 5th AI City ChallengeCode1
Consistent Accelerated Inference via Confident Adaptive TransformersCode1
Pyramidal Reservoir Graph Neural NetworkCode1
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and RegularizationCode1
Checkerboard Context Model for Efficient Learned Image CompressionCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified