Angler: Helping Machine Translation Practitioners Prioritize Model Improvements Apple Machine Learning Research
*=Authors contributed equally Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal. With finite time and resources, ML practitioners are forced to prioritize their model debugging and improvement efforts. Through interviews with 13 ML… Read More »Angler: Helping Machine Translation Practitioners Prioritize Model Improvements Apple Machine Learning Research