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Looped Transformers as Programmable Computers.

, , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 11398-11442. PMLR, (2023)

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Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization., , , and . CoRR, (2023)Looped Transformers are Better at Learning Learning Algorithms., , , and . CoRR, (2023)Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World., , , , , and . CCNC, page 919-920. IEEE, (2023)Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment., , , , , , , and . EMNLP (Findings), page 154-168. Association for Computational Linguistics, (2022)Gradient Inversion with Generative Image Prior., , , , and . NeurIPS, page 29898-29908. (2021)Learning to Embed Multi-Modal Contexts for Situated Conversational Agents., , , , , , , , , and 1 other author(s). NAACL-HLT (Findings), page 813-830. Association for Computational Linguistics, (2022)Teaching Arithmetic to Small Transformers., , , , and . ICLR, OpenReview.net, (2024)DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models., , , , , , , , , and . CoRR, (2023)Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding., , , , and . Trans. Mach. Learn. Res., (2024)Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning., , , , , , , and . AAAI, page 15689-15695. AAAI Press, (2023)