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Representation Learning

401 directly classified papers

Papers per year

Papers

What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models EMNLP 2020
An information theoretic view on selecting linguistic probes EMNLP 2020
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT EMNLP 2020
Information-Theoretic Probing with Minimum Description Length EMNLP 2020
Word class flexibility: A deep contextualized approach EMNLP 2020
Pareto Probing: Trading Off Accuracy for Complexity EMNLP 2020
Towards Better Context-aware Lexical Semantics:Adjusting Contextualized Representations through Static Anchors EMNLP 2020
Supermasks in Superposition NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020
Learning of Discrete Graphical Models with Neural Networks NIPS 2020
Feature Importance Ranking for Deep Learning NIPS 2020
Dense Passage Retrieval for Open-Domain Question Answering EMNLP 2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning EMNLP 2020
On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020
CircleGAN: Generative Adversarial Learning across Spherical Circles NIPS 2020
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NIPS 2020
Prior-aware Composition Inference for Spectral Topic Models AISTATS 2020
Probing Neural Dialog Models for Conversational Understanding ACL 2020
Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View ACL 2019
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences CVPR 2019
ContextDesc: Local Descriptor Augmentation With Cross-Modality Context CVPR 2019
Understanding and Visualizing Deep Visual Saliency Models CVPR 2019
Auto-Encoding Scene Graphs for Image Captioning CVPR 2019
Explainability Methods for Graph Convolutional Neural Networks CVPR 2019
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates CVPR 2019