Abstract: Provided are techniques for identifying and correcting model focus drift during model training. A model is trained using an original dataset with data, and the is classified into clusters. A representation is assigned to each of the clusters. A first visualization dashboard with visualizations is generated, where each visualization represents a first data distribution of an associated cluster using the representation assigned to that cluster. The model is fine-tuned using a fine-tune dataset. A second visualization dashboard is generated by updating each visualization, where each visualization represents a second data distribution of the associated cluster. It is determined that a cluster of the clusters has focus drift based on changes between the first data distribution and the second data distribution. The focus drift is corrected by: adding the data of the cluster to the fine-tune dataset to form a combined dataset and fine-tuning the model using the combined dataset.

Abstract: A first set of features associated with a neural network are parameterized. A decision tree is generated from the first set of features. One or more adjustments for the neural network are received at the decision tree. A second set of features associated with the adjustments at the decision tree are parameterized. The parameterized first and second set of features are combined into a plurality of parameters. From the plurality, an adjusted neural network is generated.

Abstract: A control apparatus capable of controlling a TV interface communicates with a TV and a remote control apparatus. The control apparatus includes a communicating unit, a storage unit, and a control unit. When the communicating unit receives a wireless signal carrying information of a selected executable program transmitted by the remote control apparatus, the control unit obtains an executable program from the storage unit according to the information carried by the wireless signal and generates a first control signal and a second control signal. The remote control apparatus provides a remote control interface corresponding to the selected executable program in response to the first control signal. The TV executes the selected executable program and provides an operation interface corresponding to the selected executable program in response to the second signal. A related method is also provided.