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 3251–3300 of 4891 papers

TitleStatusHype
Fast and efficient speech enhancement with variational autoencoders—0
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches—0
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean EstimationCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM—0
PAGE: Prototype-Based Model-Level Explanations for Graph Neural NetworksCode1
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning—0
Neural network-based CUSUM for online change-point detection—0
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach—0
BEBERT: Efficient and Robust Binary Ensemble BERTCode0
Joint Semantic Transfer Network for IoT Intrusion Detection—0
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain—0
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds—0
Delving into Masked Autoencoders for Multi-Label Thorax Disease ClassificationCode1
Joint Speech Translation and Named Entity Recognition—0
The mass-conversion method: a hybrid technique for simulating well-mixed chemical reaction networks—0
Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance—0
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs—0
Graph sampling for node embedding—0
Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm—0
Phenomenological Model of Superconducting Optoelectronic Loop Neurons—0
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline ExtractionCode0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial VideosCode1
Dynamics-aware Adversarial Attack of Adaptive Neural NetworksCode0
An Efficient FPGA Accelerator for Point Cloud—0
Latent Temporal Flows for Multivariate Analysis of Wearables Data—0
Deep Koopman Learning of Nonlinear Time-Varying Systems—0
Graph Neural Network Surrogate for Seismic Reliability Analysis of Highway Bridge Systems—0
Mixture of Attention Heads: Selecting Attention Heads Per TokenCode1
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems—0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
Efficient Diffusion Models for Vision: A Survey—0
Design Amortization for Bayesian Optimal Experimental Design—0
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Learning Signal Temporal Logic through Neural Network for Interpretable ClassificationCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks—0
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement—0
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation—0
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments—0
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network—0
Sentiment Interpretable Logic Tensor Network for Aspect-Term Sentiment Analysis—0
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph—0
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified