Code for Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant Learning (SATI).
Due to the double-blind review, we will not be providing the checkpoint link at this time.

• Install CMU Multimodal SDK. Ensure, you can perform from mmsdk import mmdatasdk.
• Option 1: Download pre-computed splits provided by MOSI and place the contents inside datasets folder.
• Option 2: Re-create splits by downloading data from MMSDK. For this, simply run the code as detailed next.

• cd src

• Set word_emb_path in config.py to glove file provided by MOSI and Roberta path.
• Set sdk_dir to the path of CMU-MultimodalSDK.
• python train.py --data mosi. Replace mosi with mosei or ur_funny for other datasets.