determined 产品
来源: githubOPEN_SOURCE开源GoApache-2.0发布于 2020-04-07
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
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determined · 相关事件
相关事件
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From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs
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SurfDesign: Effective Protein Design on Molecular Surfaces
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Observability for Delegated Execution in Agentic AI Systems
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Hyperflux: Pruning Reveals Importance
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Mitigating Diffusion Model Hallucinations with Dynamic Guidance
2026-06-09PRODUCT_LAUNCH影响: MEDIUM
When Does Multi-Agent Collaboration Help? An Entropy Perspective
2026-06-08PRODUCT_LAUNCH影响: MEDIUM
The Dark Regulome: Disentangling Predictability from Regulation in Genomic Foundation Models
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The Dark Regulome: Disentangling Predictability from Regulation in Genomic Foundation Models
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Adaptive Band Selection for Hyperspectral Classification with Spatially Disjoint Evaluation
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Spectral Scaling Laws of Muon
2026-06-04PRODUCT_LAUNCH影响: MEDIUM
Spectral Scaling Laws of Muon
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Spectral Scaling Laws of Muon
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A Goal-Set Characterization of Task Composition in the Boolean Task Algebra
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A Goal-Set Characterization of Task Composition in the Boolean Task Algebra
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Depth from Dual Differential Defocus and Stereo Consensus
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Position: Prioritize Identifying Structure, Not Complex Models, for Scientific Discovery
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Learning-To-Measure: In-Context Active Feature Acquisition
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LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding
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Functorial Neural Architectures from Higher Inductive Types
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Progress in Formalizing Sphere Packing in Dimension 8
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Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence Extrapolation
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HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds
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AdvScene: Rethinking Adversarial Patch Evaluation Through Scene Robustness
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Elastic ViTs from Pretrained Models without Retraining
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Elastic ViTs from Pretrained Models without Retraining
2026-06-01PRODUCT_LAUNCH影响: MEDIUM
FinVerBench: Benchmark Validity and Calibration in Large Language Model Financial Statement Verification
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Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs
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BrahmicTokenizer-131K: An Indic-Capable Drop-In Replacement for o200k_base
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To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios
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Veda: Scalable Video Diffusion via Distilled Sparse Attention
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Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation
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