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 2476–2500 of 4891 papers

TitleStatusHype
Learning to Manipulate Artistic ImagesCode1
MambaByte: Token-free Selective State Space Model—0
Unified-Width Adaptive Dynamic Network for All-In-One Image RestorationCode1
Unified Spatio-Temporal Tri-Perspective View Representation for 3D Semantic Occupancy Prediction—0
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing—0
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence—0
PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion—0
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding—0
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Falcon: Fair Active Learning using Multi-armed BanditsCode0
DITTO: Diffusion Inference-Time T-Optimization for Music Generation—0
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection—0
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation—0
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning—0
TIM: An Efficient Temporal Interaction Module for Spiking Transformer—0
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications—0
immrax: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAXCode1
Identifying and Analyzing Task-Encoding Tokens in Large Language Models—0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
I-SplitEE: Image classification in Split Computing DNNs with Early ExitsCode0
VMamba: Visual State Space ModelCode7
Curriculum Recommendations Using Transformer Base Model with InfoNCE Loss And Language Switching Method—0
Inverse analysis of granular flows using differentiable graph neural network simulator—0
Functional Autoencoder for Smoothing and Representation LearningCode0
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series TasksCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified