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downstream classification

10 papers

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representation learning (4) self-supervised learning (3) pre-trained language model (2) inductive bia (2) transfer learning (2) contrastive learning (2) neural network (1) generative factor (1) text domain (1) pretraining objective (1)

Papers

TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks NAACL 2025 Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation NeurIPS 2024 Aligning Speech Enhancement for Improving Downstream Classification Performance Interspeech 2023 Downstream Datasets Make Surprisingly Good Pretraining Corpora ACL 2023 Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task NAACL 2022 Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions EMNLP 2022 MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NeurIPS 2022 On the Surrogate Gap between Contrastive and Supervised Losses ICML 2022 Understanding Contrastive Learning Requires Incorporating Inductive Biases ICML 2022 Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets ACL 2021