Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression | Paper Citation Record

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This paper cites Maximum likelihood estimation of intrinsic dimension,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Maximum likelihood estimation of intrinsic dimension,

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This paper cites Estimating the intrinsic dimension of datasets by a minimal neighborhood information,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Estimating the intrinsic dimension of datasets by a minimal neighborhood information,

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This paper cites Intrinsic dimension of data representations in deep neural networks,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Intrinsic dimension of data representations in deep neural networks,

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This paper cites Rethinking feature-based knowledge distillation for face recognition,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Rethinking feature-based knowledge distillation for face recognition,

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This paper cites Understand- ing deep learning requires rethinking generalization,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Understand- ing deep learning requires rethinking generalization,

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This paper cites Reducing Overfitting in Deep Networks by Decorrelating Representations.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Reducing Overfitting in Deep Networks by Decorrelating Representations

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Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Rethinking the value of network pruning,

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This paper cites Separability and geometry of object manifolds in deep neural networks,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Separability and geometry of object manifolds in deep neural networks,

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This paper cites The cityscapes dataset for semantic urban scene understanding,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression The cityscapes dataset for semantic urban scene understanding,

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This paper cites Segnet: A deep con- volutional encoder-decoder architecture for image segmentation,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Segnet: A deep con- volutional encoder-decoder architecture for image segmentation,

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This paper cites Deep residual learning for image recognition,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Deep residual learning for image recognition,

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This paper cites Learning multiple layers of features from tiny images,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Learning multiple layers of features from tiny images,

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This paper cites Pruning filters for efficient convnets,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Pruning filters for efficient convnets,

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This paper cites Distilling the knowledge in a neural network,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Distilling the knowledge in a neural network,

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This paper cites Improved knowledge distillation via teacher assis- tant,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Improved knowledge distillation via teacher assis- tant,

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This paper cites Knowledge distillation from a stronger teacher,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Knowledge distillation from a stronger teacher,

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This paper cites Conflict-averse gradi- ent descent for multi-task learning,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Conflict-averse gradi- ent descent for multi-task learning,

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This paper cites Patient Knowledge Distillation for BERT Model Compression.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Patient Knowledge Distillation for BERT Model Compression

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Observation 9030a84c-9a0b-4b18-bdc3-45a0dc5d431f · outbound

This paper cites Curriculum temperature for knowledge distillation,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Curriculum temperature for knowledge distillation,

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This paper cites Rethinking soft labels for knowledge distillation: A bias–variance tradeoff perspective,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Rethinking soft labels for knowledge distillation: A bias–variance tradeoff perspective,

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Observation b55e39f0-b369-4498-b6de-9205450a91e8 · outbound

This paper cites Controllable dynamic multi- task architectures,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Controllable dynamic multi- task architectures,

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This paper cites GPT-4 Technical Report.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression GPT-4 Technical Report

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This paper cites DeepSeek-V3 Technical Report.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression DeepSeek-V3 Technical Report

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This paper cites Student customized knowledge distillation: Bridging the gap between student and teacher,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Student customized knowledge distillation: Bridging the gap between student and teacher,

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This paper cites Gra- dient surgery for multi-task learning,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Gra- dient surgery for multi-task learning,

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This paper cites Famo: Fast adaptive multitask optimization,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Famo: Fast adaptive multitask optimization,

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This paper cites Knowledge distillation for multi-task learning,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Knowledge distillation for multi-task learning,

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This paper cites Contrastive representation distilla- tion,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Contrastive representation distilla- tion,

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This paper cites Cross-layer distillation with semantic calibration,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Cross-layer distillation with semantic calibration,

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This paper cites On the efficacy of knowledge distillation,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression On the efficacy of knowledge distillation,

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This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Segformer: Simple and efficient design for semantic segmentation with transformers,

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter

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This paper cites Tinybert: Distilling bert for natural language understanding,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Tinybert: Distilling bert for natural language understanding,

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Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Attention is all you need,

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This paper cites Learning multiple dense prediction tasks from partially annotated data,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Learning multiple dense prediction tasks from partially annotated data,

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This paper cites Does knowledge distillation really work?.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Does knowledge distillation really work?

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Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression The platonic representation hypothesis,

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This paper cites Densely guided knowledge distillation using multiple teacher assistants,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Densely guided knowledge distillation using multiple teacher assistants,

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This paper cites Monotakd: Teaching assistant knowledge distillation for monocular 3d object detection,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Monotakd: Teaching assistant knowledge distillation for monocular 3d object detection,

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This paper cites An overview of statistical learning theory,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression An overview of statistical learning theory,

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Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Unifying distillation and privileged information

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This paper cites On the difficulty of training recurrent neural networks,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression On the difficulty of training recurrent neural networks,

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This paper cites An Empirical Model of Large-Batch Training.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression An Empirical Model of Large-Batch Training

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This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,

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This paper cites A Study of Gradient Variance in Deep Learning.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression A Study of Gradient Variance in Deep Learning

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Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Decoupled knowledge distillation,

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Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression End-to-end multi-task learning with attention,

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This paper cites Inverted pyramid multi-task transformer for dense scene understanding,.

Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression Inverted pyramid multi-task transformer for dense scene understanding,

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