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Papers
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
ICML 2025
Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling
IJCAI 2025
MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation
ICCV 2025
MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models
EMNLP 2025
Training Deep Learning Models with Norm-Constrained LMOs
ICML 2025
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
NeurIPS 2024
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
ICML 2024
Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer.
ECCV 2024
Memory Efficient Neural Processes via Constant Memory Attention Block
ICML 2024
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining
NeurIPS 2024
Successor Features for Efficient Multi-Subject Controlled Text Generation
ICML 2024
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
EMNLP 2024
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
CVPR 2023
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
CVPR 2023
Memory safe computations with XLA compiler
NeurIPS 2022
Progressive Semantic Segmentation
CVPR 2021
Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images
AAAI 2020
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
NeurIPS 2019
Early Burst Detection for Memory-Efficient Image Retrieval
CVPR 2015