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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

Random Teachers are Good Teachers ICML 2023
Improved Training of Deep Text Clustering EMNLP 2023
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding EMNLP 2023
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings EMNLP 2023
Role of Context in Unsupervised Sentence Representation Learning: the Case of Dialog Act Modeling EMNLP 2023
A Spectral Viewpoint on Continual Relation Extraction EMNLP 2023
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search EMNLP 2023
On the Dimensionality of Sentence Embeddings EMNLP 2023
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities EMNLP 2023
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations EMNLP 2023
Unified Representation for Non-compositional and Compositional Expressions EMNLP 2023
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023
You Are What You Annotate: Towards Better Models through Annotator Representations EMNLP 2023
Transitioning Representations between Languages for Cross-lingual Event Detection via Langevin Dynamics EMNLP 2023
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery EMNLP 2023
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective EMNLP 2023
Representation Projection Invariance Mitigates Representation Collapse EMNLP 2023
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens EMNLP 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators NIPS 2023
Hypervolume Maximization: A Geometric View of Pareto Set Learning NIPS 2023
Noether Embedding: Efficient Learning of Temporal Regularities NIPS 2023
Flow Factorized Representation Learning NIPS 2023
Residual Alignment: Uncovering the Mechanisms of Residual Networks NIPS 2023
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning NIPS 2023
Active representation learning for general task space with applications in robotics NIPS 2023