downstream task

Rethinking Minimal Sufficient Representation in Contrastive Learning CVPR 2022 Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance With Expanded Views CVPR 2022 Robustness Verification for Contrastive Learning ICML 2022 Self-Supervised Learning via Maximum Entropy Coding NeurIPS 2022 Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing AAAI 2022 Towards Driving-Oriented Metric for Lane Detection Models CVPR 2022 Unsupervised Adversarially Robust Representation Learning on Graphs AAAI 2022 Vision-Language Pretraining: Current Trends and the Future ACL 2022 Which Model To Transfer? Finding the Needle in the Growing Haystack CVPR 2022 A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks ICLR 2021 CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients ICML 2021 Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts CVPR 2021 Contrasting Contrastive Self-Supervised Representation Learning Pipelines ICCV 2021 Domain-Adaptive Pretraining Methods for Dialogue Understanding ACL 2021 Generic Neural Architecture Search via Regression NeurIPS 2021 Learning Hierarchical Graph Neural Networks for Image Clustering ICCV 2021 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Interspeech 2021 Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization NAACL 2021 Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection EACL 2021 NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM NeurIPS 2021 On Contrastive Representations of Stochastic Processes NeurIPS 2021 Predicting What You Already Know Helps: Provable Self-Supervised Learning NeurIPS 2021 Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks EACL 2021 Revisiting Pretraining with Adapters ACL 2021 Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning NeurIPS 2021