“‘Dynamic Evaluation (NN)’ Tag”,2020-11-12 (; backlinks):
![]()
Bibliography for tag
ai/nn/dynamic-evaluation, most recent first: 4 related tags, 37 annotations, & 11 links (parent).
- See Also
- Gwern
- Links
- “AUNN: Simple Implementation of Gwern’s AUNN Proposal”, 2024
- “Emergent Properties With Repeated Examples”, 2024
- “Learning to (Learn at Test Time): RNNs With Expressive Hidden States”, et al 2024
- “Instruction Modeling: Instruction Tuning With Loss Over Instructions”, et al 2024
- “Test-Time Augmentation to Solve ARC”, 2024
- “An Accurate and Rapidly Calibrating Speech Neuroprosthesis”, et al 2024
- “Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models”, Rannen- et al 2024
- “Neural Spline Fields for Burst Image Fusion and Layer Separation”, et al 2023
- “Test-Time Adaptation of Discriminative Models via Diffusion Generative Feedback”, et al 2023
- “In-Context Pretraining (ICP): Language Modeling Beyond Document Boundaries”, et al 2023
- “OSD: Online Speculative Decoding”, et al 2023
- “Re-Reading Improves Reasoning in Large Language Models”, et al 2023
- “Test-Time Training on Video Streams”, et al 2023
- “TTT-NN: Test-Time Training on Nearest Neighbors for Large Language Models”, 2023
- “FWL: Meta-Learning Fast Weight Language Models”, et al 2022
- “Test-Time Training With Masked Autoencoders”, et al 2022
- “Don’t Stop the Training: Continuously-Updating Self-Supervised Algorithms Best Account for Auditory Responses in the Cortex”, et al 2022
- “Reconsidering the Past: Optimizing Hidden States in Language Models”, 2021
- “Mind the Gap: Assessing Temporal Generalization in Neural Language Models § Scaling”, et al 2021
- “Mind the Gap: Assessing Temporal Generalization in Neural Language Models § Dynamic Evaluation”, et al 2021 (page 7 org deepmind)
- “Test-Time Training With Self-Supervision for Generalization under Distribution Shifts”, et al 2019
- “Unsupervised Domain Adaptation through Self-Supervision”, et al 2019
- “Mogrifier LSTM”, et al 2019
- “Dynamic Evaluation of Transformer Language Models”, et al 2019
- “Learning and Evaluating General Linguistic Intelligence”, et al 2019
- “Faster SGD Training by Minibatch Persistency”, et al 2018
- “Continuous Learning in a Hierarchical Multiscale Neural Network”, et al 2018
- “Dynamic Evaluation of Neural Sequence Models”, et al 2017
- “Bayesian Recurrent Neural Networks”, et al 2017
- “Learning Simpler Language Models With the Differential State Framework”, II et al 2017
- “Neural Episodic Control”, et al 2017
- “Multiplicative LSTM for Sequence Modeling”, et al 2016
- “Generating Sequences With Recurrent Neural Networks”, 2013
- “Recurrent Neural Network Based Language Model § Dynamic Evaluation”, et al 2010 (page 2)
- “Fast Text Compression With Neural Networks”, 2000
- “OpenAI API § Prompt Caching”
- “Yu Sun”
- Sort By Magic
- Wikipedia
- Miscellaneous
- Bibliography