Goodbye, Compute-Hungry Models—This Tiny AI Is the Future of Prediction Post date February 21, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, benefits-of-ttm, effectiveness-of-ttms, multivariate-time-series-(ts), pre-trained-llm, tiny-time-mixers-(ttms), tsmixer, zerofew-shot-forecasting
Big AI Models Are Struggling—This Tiny One Wins With 45% More Accuracy Post date February 21, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, benefits-of-ttm, effectiveness-of-ttms, multivariate-time-series-(ts), pre-trained-llm, tiny-time-mixers-(ttms), tsmixer, zerofew-shot-forecasting
This AI Model Learns to Forecast With Almost No Training—Here’s How Post date February 21, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, benefits-of-ttm, effectiveness-of-ttms, multivariate-time-series-(ts), pre-trained-llm, tiny-time-mixers-(ttms), tsmixer, zerofew-shot-forecasting
A New Tiny AI Model Is Outsmarting the Big Guys With a Four-Part Brain Post date February 21, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, benefits-of-ttm, effectiveness-of-ttms, multivariate-time-series-(ts), pre-trained-llm, tiny-time-mixers-(ttms), tsmixer, zerofew-shot-forecasting
IBM Researchers Create Mini AI Model That Predicts the Future Post date February 21, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, effectiveness-of-ttms, hackernoon-top-story, multivariate-time-series-(ts), pre-trained-llm, tiny-time-mixers-(ttms), tsmixer, zerofew-shot-forecasting
ZeroShape: Data Curation Details – Synthetic Training Dataset Generation and More Post date January 3, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, data-curation, omniobject3d, omniobject3d-testing-set, training-dataset-generation, what-is-zeroshape, zeroshape, zeroshape-details
ZeroShape: The Inference on AI-Generated Images Post date January 3, 2025 Post author By The FewShot Prompting Publication Post categories In 3d-generation-workflow, ai-generated images, artificial-intelligence, dalle-3, what-is-zeroshape, zeroshape, zeroshape-explained, zixuan-huang
ZeroShape: Additional Qualitative Comparisons You Should Know About Post date January 3, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, how-does-zeroshape-work, omniobject3d, ortoc3d, pix3d, what-is-zeroshape, zeroshape, zeroshape-details
ZeroShape: What We Can Conclude From This Strong Regression-Based Model Post date January 2, 2025 Post author By The FewShot Prompting Publication Post categories In 3d-geometric-reasoning, artificial-intelligence, stefan-stojanov, what-is-zeroshape, zero-shot-shape-reconstruction, zeroshape, zeroshape-details, zixuan-huang
ZeroShape: The Limitations We Are Facing Post date January 2, 2025 Post author By The FewShot Prompting Publication Post categories In anh-thai, artificial-intelligence, stefan-stojanov, what-is-zeroshape, zeroshape, zeroshape-explained, zeroshape-limitations, zixuan-huang
Zero Shape: The Qualitative Results of Different Methods and Our Ablation Study Post date January 2, 2025 Post author By The FewShot Prompting Publication Post categories In anh-thai, artificial-intelligence, stefan-stojanov, what-is-zeroshape, zeroshape, zeroshape-ablation-study, zeroshape-qualitative-results, zixuan-huang
ZeroShape: A Comparison to SOTA Methods Post date January 1, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, omniobject3d, ortoc3d, pix3d, shap-e, sota-methods, what-is-zeroshape, zeroshape
Introducing ZeroShape’s Baselines: The 5 State-of-the-Art Baselines We Considered Post date January 1, 2025 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, mcc, point-e, shap-e, ss3d, what-is-zeroshape, zeroshape, zeroshape-baselines
ZeroShape: The Metrics and Evaluation Protocol That We Used Post date January 1, 2025 Post author By The FewShot Prompting Publication Post categories In anh-thai, artificial-intelligence, stefan-stojanov, zeroshape, zeroshape-evaluation, zeroshape-experiments, zeroshape-metrics, zixuan-huang
ZeroShape: The Training Dataset That We Used Post date December 31, 2024 Post author By The FewShot Prompting Publication Post categories In artificial-intelligence, omniobject3d, ortoc3d, pix3d, what-is-zeroshape, zeroshape, zeroshape-evaluation-benchmark, zeroshape-training-dataset
ZeroShape: Here’s How We Did Our Data Curation Post date December 31, 2024 Post author By The FewShot Prompting Publication Post categories In 3d-meshes, artificial-intelligence, objaverse, shapenetcore-v2, what-is-zeroshape, zeroshape, zeroshape-data-curation, zeroshape-details
How Our Disentangled Learning Framework Tackles Lifelong Learning Challenges Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
Batch Training vs. Online Learning Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
One-Shot Generalization and Open-Set Classification Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
Why Equivariance Outperforms Invariant Learning in Continual Learning Tasks Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
Continual learning and Benchmarking continual learning Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
How Effective Are Standard Regularization and Replay Methods for Class-Incremental Learning? Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
Assessing Generalization and Open-Set Classification in Continual Learning Experiments Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
How Disentangled Learning Tackles Catastrophic Forgetting Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
Unlocking New Potential in Continual Learning with the Infinite dSprites Framework Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
Two Problems With the Current Approach to Class-Incremental Continual Learning Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
Disentangled Continual Learning: Separating Memory Edits from Model Updates Post date August 27, 2024 Post author By The FewShot Prompting Publication Post categories In class-agnostic-network, class-incremental-learning, continual-learning-for-llm, disentangled-learning, forward-and-backward-transfer, machine-learning-benchmarks, neural-networks, open-set-classification
Examples of Recovering from Entity Linking Errors Post date June 23, 2024 Post author By The FewShot Prompting Publication Post categories In entity-linking, entity-linking-errors, heuristics, llm-training-sets, refined-entity-linker-model, semantic-parsing, what-is-refined, wikidata
Med-Flamingo: a Multimodal Medical Few-shot Learner – Appendix Post date June 19, 2024 Post author By The FewShot Prompting Publication Post categories In clinical-applications, few-shot-learning, generative-vqa, medical-ai, medical-informatics, multimodal-learning, usmle-evaluation, vision-language-models
Med-Flamingo: a Multimodal Medical Few-shot Learner – Discussion, Acknowledgments, and References Post date June 19, 2024 Post author By The FewShot Prompting Publication Post categories In clinical-applications, few-shot-learning, generative-vqa, medical-ai, medical-informatics, multimodal-learning, usmle-evaluation, vision-language-models
Med-Flamingo: a Multimodal Medical Few-shot Learner – Results Post date June 19, 2024 Post author By The FewShot Prompting Publication Post categories In clinical-applications, few-shot-learning, generative-vqa, medical-ai, medical-informatics, multimodal-learning, usmle-evaluation, vision-language-models
Med-Flamingo: a Multimodal Medical Few-shot Learner – Evaluation Post date June 19, 2024 Post author By The FewShot Prompting Publication Post categories In clinical-applications, few-shot-learning, generative-vqa, medical-ai, medical-informatics, multimodal-learning, usmle-evaluation, vision-language-models
Med-Flamingo: a Multimodal Medical Few-shot Learner – Med-Flamingo Post date June 19, 2024 Post author By The FewShot Prompting Publication Post categories In clinical-applications, few-shot-learning, generative-vqa, medical-ai, medical-informatics, multimodal-learning, usmle-evaluation, vision-language-models
Med-Flamingo: a Multimodal Medical Few-shot Learner – Related Works Post date June 19, 2024 Post author By The FewShot Prompting Publication Post categories In clinical-applications, few-shot-learning, generative-vqa, medical-ai, medical-informatics, multimodal-learning, usmle-evaluation, vision-language-models
Towards Automatic Satellite Images Captions Generation Using LLMs: References Post date June 16, 2024 Post author By The FewShot Prompting Publication Post categories In arsic, data-annotation, geospatial-analysis, image-captioning, large-language-models, llms, remote-sensing, satellite-imagery
Towards Automatic Satellite Images Captions Generation Using LLMs: Methodology Post date June 16, 2024 Post author By The FewShot Prompting Publication Post categories In arsic, data-annotation, geospatial-analysis, image-captioning, large-language-models, llms, remote-sensing, satellite-imagery
Towards Automatic Satellite Images Captions Generation Using LLMs: Abstract & Introduction Post date June 16, 2024 Post author By The FewShot Prompting Publication Post categories In arsic, data-annotation, geospatial-analysis, image-captioning, large-language-models, llms, remote-sensing, satellite-imagery
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