TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Abstract: While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product.