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Efficient Computing

6,876 papers

Papers per year

Papers

Parallel Sampling of Diffusion Models NIPS 2023
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks NIPS 2023
DataPerf: Benchmarks for Data-Centric AI Development NIPS 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data NIPS 2023
Model-Based Control with Sparse Neural Dynamics NIPS 2023
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation NIPS 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems NIPS 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research NIPS 2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference NIPS 2023
Multiplication-Free Transformer Training via Piecewise Affine Operations NIPS 2023
MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory NIPS 2023
Blockwise Parallel Transformers for Large Context Models NIPS 2023
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile NIPS 2023
QLoRA: Efficient Finetuning of Quantized LLMs NIPS 2023
Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction NIPS 2023
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting NIPS 2023
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis NIPS 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models NIPS 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NIPS 2023
Balanced Training for Sparse GANs NIPS 2023
Improved Frequency Estimation Algorithms with and without Predictions NIPS 2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation NIPS 2023
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks NIPS 2023
Memory Efficient Optimizers with 4-bit States NIPS 2023
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning NIPS 2023