The deadline for paper submission is Jul, 24th, 2024 (anywhere on earth).
Decision to authors will be released on Aug, 19th, 2024.
The camera ready deadline is set to Sept, 18th, 2024.
Submission follows the ECCV format (see the ECCV website for format instruction):Â
Accepted papers will be included into ECCV proceedings.
We invite authors to submit their works in one of the following topics:
Developing optimization strategies for reducing the energy consumption in deep learning
Design of novel architectures and operators that are suitable for data-intensive scenarios
Developing distributed, efficient reinforcement learning algorithms
Implementing large-scale pre-training techniques for real-world applications
Developing distributed training approaches and architectures
Utilizing HPC and massively parallel architectures for deep learning
Exploring frameworks and optimization algorithms for training deep networks
Utilizing model pruning, gradient compression techniques, and quantization to reduce the computational complexity
Developing methods to reduce the memory/data transmission footprint
Developing methods and differentiable metrics to estimate computational costs, energy consumption and power consumption of models
Designing, implementing and using hardware accelerators for deep learning
Developing efficient and cost saving models and methods that promote diversity and inclusivity in the field of deep learning.
Speed up of the training and inference of GPT and other generative models
The best academic paper will be awarded with a first-class GPU provided by NVIDIA.