Paper: Asymmetric Momentum: A Rethinking of Gradient Descent (ICLR-2024)

Reviewer comment (Experiments):
The experiments are primarily conducted on Cifar10 and Cifar100. Testing on a broader range of datasets would provide a more comprehensive understanding of LCAM's applicability.

Author response:
Due to the limited time, the supplementary experiments did not cover a wider range of datasets, and there was not enough time to revise the paper. I have uploaded this version in the hope of receiving further guidance and comment. More content will be added in the future.

3、Also due to time constraints, complete testing on some datasets, such as ImageNet and object detection, could not be performed.

Reviewer comment (Writing):
Despite the attempt to give an intuitive explanation, many of the concepts are not well defined or explained, e.g., weight coupling, oscillatory state, coupling state. Overall, section 3 is difficult to follow, and the motivation is not convincing.

Author response:
2、To improve the logic, we added motivation and revised the explanation of Figure 2 to more vividly describe the effect of asymmetric momentum.