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SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data., , , , , , , and . CoRR, (2024)Integrating Self-supervised Speech Model with Pseudo Word-level Targets from Visually-grounded Speech Model., , , , , , , and . CoRR, (2024)M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval., , , , , and . CoRR, (2022)Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality., , , , and . EMNLP, page 2236-2250. Association for Computational Linguistics, (2022)AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models., , , , , , , , , and 9 other author(s). CoRR, (2023)M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval., , , , , and . ICASSP, page 1-5. IEEE, (2023)Speculative Code Compaction: Eliminating Dead Code via Speculative Microcode Transformations., , , , , , , , , and . MICRO, page 162-180. IEEE, (2022)SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model., , , , , and . SLT, page 715-722. IEEE, (2022)