conftrace_

downstream task

177 papers

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representation learning (6206) transfer learning (5449) self-supervised learning (3777) large language model (13587) language model (4599) contrastive learning (4032) pretrained language model (1030) reinforcement learning (4352) knowledge distillation (3725) pre-trained model (412)

Papers

Benchmarking Intersectional Biases in NLP NAACL 2022
Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks COLING 2022
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing AAAI 2022
Predicting What You Already Know Helps: Provable Self-Supervised Learning NIPS 2021
Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection EACL 2021
Domain-Adaptive Pretraining Methods for Dialogue Understanding ACL 2021
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech INTERSPEECH 2021
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients ICML 2021
Revisiting Pretraining with Adapters ACL 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts CVPR 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning NIPS 2021
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks EACL 2021
On Contrastive Representations of Stochastic Processes NIPS 2021
Learning Hierarchical Graph Neural Networks for Image Clustering ICCV 2021
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM NIPS 2021
When Do You Need Billions of Words of Pretraining Data? IJCNLP 2021
Unsupervised Object-Level Representation Learning from Scene Images NIPS 2021
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization NAACL 2021
Generic Neural Architecture Search via Regression NIPS 2021
Revisiting Pretraining with Adapters IJCNLP 2021
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning NIPS 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines ICCV 2021
Learning to Evaluate Perception Models Using Planner-Centric Metrics CVPR 2020
A Simple and Effective Usage of Word Clusters for CBOW Model AACL 2020
Optimizing Word Segmentation for Downstream Task EMNLP 2020