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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers EMNLP 2020
Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment EMNLP 2020
A Shared-Private Representation Model with Coarse-to-Fine Extraction for Target Sentiment Analysis EMNLP 2020
Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming EMNLP 2020
On the Sub-layer Functionalities of Transformer Decoder EMNLP 2020
What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020
Exploring Neural Entity Representations for Semantic Information EMNLP 2020
Label Propagation-Based Semi-Supervised Learning for Hate Speech Classification EMNLP 2020
Detection of Mental Health from Reddit via Deep Contextualized Representations EMNLP 2020
Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations EMNLP 2020
Learning Informative Representations of Biomedical Relations with Latent Variable Models EMNLP 2020
On the Modularity of Hypernetworks NIPS 2020
Deep Reinforcement and InfoMax Learning NIPS 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning NIPS 2020
Novelty Search in Representational Space for Sample Efficient Exploration NIPS 2020
Debiased Contrastive Learning NIPS 2020
RD$^2$: Reward Decomposition with Representation Decomposition NIPS 2020
Value-driven Hindsight Modelling NIPS 2020
Learning Retrospective Knowledge with Reverse Reinforcement Learning NIPS 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs NIPS 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud NIPS 2020
LoCo: Local Contrastive Representation Learning NIPS 2020
Object-Centric Learning with Slot Attention NIPS 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations NIPS 2020
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network NIPS 2020