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Efficient Computing
6,876 papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras From Wide-Angle Monocular Video Recordings
WACV 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging
WACV 2024
SBCFormer: Lightweight Network Capable of Full-Size ImageNet Classification at 1 FPS on Single Board Computers
WACV 2024
Fixing Overconfidence in Dynamic Neural Networks
WACV 2024
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
WACV 2024
Adaptive Deep Neural Network Inference Optimization With EENet
WACV 2024
USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit
WACV 2024
Beyond SOT: Tracking Multiple Generic Objects at Once
WACV 2024
Lightweight Delivery Detection on Doorbell Cameras
WACV 2024
Dynamic Token-Pass Transformers for Semantic Segmentation
WACV 2024
WaveMixSR: Resource-Efficient Neural Network for Image Super-Resolution
WACV 2024
IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction
WACV 2024
Neural Image Compression Using Masked Sparse Visual Representation
WACV 2024
Computer Vision on the Edge: Individual Cattle Identification in Real-Time With ReadMyCow System
WACV 2024
GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation
WACV 2024
Feed-Forward Latent Domain Adaptation
WACV 2024
BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning
NIPS 2023
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems
NIPS 2023
Towards Higher Ranks via Adversarial Weight Pruning
NIPS 2023
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
NIPS 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
NIPS 2023
Reusing Pretrained Models by Multi-linear Operators for Efficient Training
NIPS 2023
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
NIPS 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NIPS 2023
Diffused Redundancy in Pre-trained Representations
NIPS 2023
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