- Self-contained: do not leave important concepts unexplained to readers.
- Crystal clear
- Does this paper provide New findings/insights in the forcused research field?
- Does the rationale begind new observations or conclusions well explained? (why the proposed method is superior?)
- Is the problem setting resonable or practical? (Is the studied problem significant?)
Year | Conference/Journal | Title | Remarks |
---|---|---|---|
2021 | Arxiv | Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length | nice picture |
2019 | ICML | EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks | by Google |
2019 | ICML | Complementary-Label Learning for Arbitrary Losses and Models | supp |
2020 | ICLR submission | CONSISTENCY REGULARIZATION FOR GENERATIVE ADVERSARIAL NETWORKS | Consistency Regularization + GAN |