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https://deepai.org/publication/enhancing-geometric-factors-in-model-learning-and-inference-for-object-detection-and-instance-segmentation Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance... May 7, 2020 - 05/07/20 - Deep learning-based object detection and instance segmentation have achieved unprecedented progress. In this paper, we propose Com... factors inmodel learning https://aclanthology.org/2020.findings-emnlp.376/ Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across... Harris Chan, Jamie Kiros, William Chan. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. language modelmultichannelgenerativelearning https://openreview.net/forum?id=nSGl4pICyD Action Model Learning from Noisy Traces: a Probabilistic Approach | OpenReview We address the problem of learning planning domains from plan traces that are obtained by observing the environment states through noisy sensors. In such... action model learningnoisytracesprobabilisticapproach https://openreview.net/forum?id=fgO1R1iVEi Calibrated Value-Aware Model Learning with Probabilistic Environment Models | OpenReview The idea of value-aware model learning, that models should produce accurate value estimates, has gained prominence in model-based reinforcement learning. The... model learningcalibratedvalueawareprobabilistic https://pathway.com/ Pathway - The first post-transformer frontier model that solved continual learning The first post-transformer frontier model that solved continual learning. the first postfrontier modelpathwaytransformer https://gmd.copernicus.org/articles/19/2177/2026/gmd-19-2177-2026.html GMD - HIDRA-D: deep-learning model for dense sea level forecasting using sparse altimetry and tide... Abstract. This paper introduces HIDRA-D, a novel deep-learning model for basin scale dense (gridded) sea level prediction using sparse satellite altimetry and... https://blog.huntr.com/hunting-vulnerabilities-in-machine-learning-model-file-formats How to Hunt Vulnerabilities in Machine Learning Model File Formats - Huntr | Blog Nov 19, 2025 - Discover how to identify and exploit vulnerabilities in machine learning model file formats like GGUF, Keras, and ONNX. how to huntmachine learning model https://journals.mesopotamian.press/index.php/cs/article/view/554 Deep Learning Model for Hand Movement Rehabilitation | Mesopotamian Journal of Computer Science deep learning modelhand movement https://openreview.net/forum?id=sb7qHFYwBc C-CLIP: Multimodal Continual Learning for Vision-Language Model | OpenReview Multimodal pre-trained models like CLIP need large image-text pairs for training but often struggle with domain-specific tasks. 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Mayor Bill de Blasio said most students will attend in-person classes two or three days a week, depending on the week. new york city public schools https://www.atlantis-press.com/proceedings/sores-19/125935342 Implementation of Thematic Learning Model at Elementary Schools of Lima Puluh Kota Regency |... Purpose of this study was to describe the implementation of thematic learning model at elementary schools. This research used a qualitative approach. It was... lima puluh kotaimplementation ofthematic learning https://deepai.org/publication/pilot-a-pre-trained-model-based-continual-learning-toolbox PILOT: A Pre-Trained Model-Based Continual Learning Toolbox | DeepAI Sep 13, 2023 - 09/13/23 - While traditional machine learning can effectively tackle a wide range of problems, it primarily operates within a closed-world se... trained modelcontinual learningpilotprebased https://www.intel.com/content/www/us/en/developer/articles/technical/deep-learning-model-optimizations-made-easy.html Deep Learning Model Optimizations Made Easy (or at Least Easier) Learn techniques for optimal model compression and optimization that reduce model size and enable them to run faster and more efficiently than before. deep learning modelmade easyor atoptimizationsleast https://www.databricks.com/training/catalog/machine-learning-model-development-2390 Machine Learning Model Development | Databricks This comprehensive course provides a practical guide to developing traditional machine learning models on Databricks, emphasizing hands-on demonstrations and... machine learning modeldevelopmentdatabricks https://deepai.org/publication/active-learning-based-on-data-uncertainty-and-model-sensitivity Active Learning based on Data Uncertainty and Model Sensitivity | DeepAI Aug 6, 2018 - 08/06/18 - Robots can rapidly acquire new skills from demonstrations. 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This study aims to explore online teaching from the perspective of the cultural-centered model (CCM) of user experience (UX) design and learning preferences... https://deepai.org/publication/model-spider-learning-to-rank-pre-trained-models-efficiently Model Spider: Learning to Rank Pre-Trained Models Efficiently | DeepAI Jun 6, 2023 - 06/06/23 - Figuring out which Pre-Trained Model (PTM) from a model zoo fits the target task is essential to take advantage of plentiful model... learning to rankmodelspiderpretrained https://arxiv.org/abs/2405.13735v1 [2405.13735v1] Transfer of Safety Controllers Through Learning Deep Inverse Dynamics Model Abstract page for arXiv paper 2405.13735v1: Transfer of Safety Controllers Through Learning Deep Inverse Dynamics Model safety controllers https://www.easychair.org/publications/keyword/B31f Keyword: deep learning model deep learningkeywordmodel https://openreview.net/forum?id=cTbIjyrUVwJ Learning Accurate Entropy Model with Global Reference for Image Compression | OpenReview In recent deep image compression neural networks, the entropy model plays a critical role in estimating the prior distribution of deep image encodings.... global referencefor imagelearningaccurateentropy https://openreview.net/forum?id=AjiDxC7aIi&referrer=%5Bthe%20profile%20of%20Ji%20Shi%5D(%2Fprofile%3Fid%3D~Ji_Shi3) Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies | OpenReview Data collection is crucial for learning robust world models in model-based reinforcement learning. 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Alessandro Ingrosso, onderzoeker aan het Donders Instituut, heeft een nieuwe wiskundige methode ontwikkeld die het mogelijk maakt om de effectiviteit van... transfer learningradboudwetenschappersontwikkelennieuw https://www.atlantis-press.com/proceedings/icesshum-19/125914710 Problem-based learning model versus direct instruction in achieving critical thinking ability... 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Advances in generative models have recently revolutionised machine learning. Meanwhile, in neuroscience, generative models have long been thought fundamental... https://www.open.edu/openlearn/money-business/workplace-learning-coaching-and-mentoring/content-section-5.2 Workplace learning with coaching and mentoring: 5.2 Using the GROW coaching model | OpenLearn -... In this free course, Workplace learning with coaching and mentoring, you will consider theoretical and practical issues in planning and managing learning and... coaching and mentoring https://www.taskade.com/prompts/engineering/machine-learning-model-evaluation-prompt Machine Learning Model Evaluation AI Prompt | Taskade AI Boost your productivity with our Machine Learning Model Evaluation AI Prompt. 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Traditional Chinese Medicine (TCM... explainable machine learning https://openreview.net/forum?id=rJY0-Kcll Optimization as a Model for Few-Shot Learning | OpenReview We propose an LSTM-based meta-learner model to learn the exact optimization algorithm used to train another learner neural network in the few-shot regime as a modelfew shot learningoptimizationopenreview https://openreview.net/forum?id=ZVD7bHNpY1 Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision |... Energy-based models (EBMs) are a flexible class of deep generative models and are well-suited to capture complex dependencies in multimodal data. However,... energy based model