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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

Neural Weight Search for Scalable Task Incremental Learning WACV 2023
FUSSL: Fuzzy Uncertain Self Supervised Learning WACV 2023
Alleviating Over-smoothing for Unsupervised Sentence Representation ACL 2023
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations ACL 2023
Pre-training Multi-party Dialogue Models with Latent Discourse Inference ACL 2023
Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions ACL 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations ACL 2023
Learning Latent Relations for Temporal Knowledge Graph Reasoning ACL 2023
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation ACL 2023
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques ACL 2023
Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning ACL 2023
CIF-PT: Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training ACL 2023
Language Agnostic Multilingual Information Retrieval with Contrastive Learning ACL 2023
Delving into the Openness of CLIP ACL 2023
Enhancing Continual Relation Extraction via Classifier Decomposition ACL 2023
BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation ACL 2023
Language Modeling with Latent Situations ACL 2023
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning CVPR 2023
Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems CVPR 2023
Towards Effective Visual Representations for Partial-Label Learning CVPR 2023
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning CVPR 2023
Exploring Data Geometry for Continual Learning CVPR 2023
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck CVPR 2023
Hyperspherical Embedding for Point Cloud Completion CVPR 2023
Superclass Learning With Representation Enhancement CVPR 2023