I'm not sure these count as direct critiques of the field, but here are a few papers showing that we've essentially made no progress on some problems, despite many claims to the contrary:

• Tabular Data: Deep Learning is Not All You Need
• In Search of Lost Domain Generalization
• Unsupervised Domain Adaptation: A Reality Check
• A Baseline for Few-Shot Image Classification