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Efficient Computing

6,876 papers

Papers per year

Papers

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution WACV 2023
Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond WACV 2023
SPIQ: Data-Free Per-Channel Static Input Quantization WACV 2023
Toward Edge-Efficient Dense Predictions With Synergistic Multi-Task Neural Architecture Search WACV 2023
Cross-Resolution Flow Propagation for Foveated Video Super-Resolution WACV 2023
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning NIPS 2022
Fully Sparse 3D Object Detection NIPS 2022
Learning to Configure Computer Networks with Neural Algorithmic Reasoning NIPS 2022
DC-BENCH: Dataset Condensation Benchmark NIPS 2022
Batch Multi-Fidelity Active Learning with Budget Constraints NIPS 2022
Towards Efficient Post-training Quantization of Pre-trained Language Models NIPS 2022
PDEBench: An Extensive Benchmark for Scientific Machine Learning NIPS 2022
Augmenting Online Algorithms with $\varepsilon$-Accurate Predictions NIPS 2022
Learning to Accelerate Partial Differential Equations via Latent Global Evolution NIPS 2022
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity NIPS 2022
XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient NIPS 2022
Theseus: A Library for Differentiable Nonlinear Optimization NIPS 2022
Resource-Adaptive Federated Learning with All-In-One Neural Composition NIPS 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression NIPS 2022
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification NIPS 2022
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons NIPS 2022
Data-Efficient Augmentation for Training Neural Networks NIPS 2022
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders NIPS 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking NIPS 2022
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning NIPS 2022