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Efficient Computing

6,876 papers

Papers per year

Papers

VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids NIPS 2022
Advancing Model Pruning via Bi-level Optimization NIPS 2022
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units NIPS 2022
Quantized Training of Gradient Boosting Decision Trees NIPS 2022
Memory safe computations with XLA compiler NIPS 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training NIPS 2022
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees NIPS 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss NIPS 2022
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks NIPS 2022
Beyond neural scaling laws: beating power law scaling via data pruning NIPS 2022
Graph Neural Networks with Adaptive Readouts NIPS 2022
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems NIPS 2022
Green Hierarchical Vision Transformer for Masked Image Modeling NIPS 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations NIPS 2022
SparCL: Sparse Continual Learning on the Edge NIPS 2022
Wavelet Feature Maps Compression for Image-to-Image CNNs NIPS 2022
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions NIPS 2022
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization NIPS 2022
Entropy-Driven Mixed-Precision Quantization for Deep Network Design NIPS 2022
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training NIPS 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine NIPS 2022
Redistribution of Weights and Activations for AdderNet Quantization NIPS 2022
A2: Efficient Automated Attacker for Boosting Adversarial Training NIPS 2022
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising NIPS 2022
On-Device Training Under 256KB Memory NIPS 2022