training dynamics

Training Trajectories of Language Models Across Scales ACL 2023 TRIAGE: Characterizing and auditing training data for improved regression NeurIPS 2023 Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning ICLR 2023 A Data Cartography based MixUp for Pre-trained Language Models NAACL 2022 Data Cartography for Low-Resource Neural Machine Translation EMNLP 2022 Data-Efficient Augmentation for Training Neural Networks NeurIPS 2022 Deep Active Learning by Leveraging Training Dynamics NeurIPS 2022 Emergent Structures and Training Dynamics in Large Language Models ACL 2022 Information Bottleneck: Exact Analysis of (Quantized) Neural Networks ICLR 2022 Instability and Local Minima in GAN Training with Kernel Discriminators NeurIPS 2022 Leveraging Training Dynamics and Self-Training for Text Classification EMNLP 2022 Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models NeurIPS 2022 Neural Tangent Kernel Analysis of Deep Narrow Neural Networks ICML 2022 Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks NeurIPS 2022 Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022 Staged Training for Transformer Language Models ICML 2022 Surprising Instabilities in Training Deep Networks and a Theoretical Analysis NeurIPS 2022 The Birth of Bias: A case study on the evolution of gender bias in an English language model NAACL 2022 The Three Stages of Learning Dynamics in High-dimensional Kernel Methods ICLR 2022 Towards Understanding the Condensation of Neural Networks at Initial Training NeurIPS 2022 Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU EMNLP 2022 Training Dynamics for Text Summarization Models ACL 2022 Training stochastic stabilized supralinear networks by dynamics-neutral growth NeurIPS 2022 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly ICLR 2021 Cartography Active Learning EMNLP 2021