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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

Self-Distillation with Meta Learning for Knowledge Graph Completion EMNLP 2022
BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection EMNLP 2022
Representation Learning for Resource-Constrained Keyphrase Generation EMNLP 2022
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning EMNLP 2022
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval EMNLP 2022
CoCoID: Learning Contrastive Representations and Compact Clusters for Semi-Supervised Intent Discovery EMNLP 2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge EMNLP 2022
Three Real-World Datasets and Neural Computational Models for Classification Tasks in Patent Landscaping EMNLP 2022
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion EMNLP 2022
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs EMNLP 2022
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework EMNLP 2022
Does Corpus Quality Really Matter for Low-Resource Languages? EMNLP 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction EMNLP 2022
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks EMNLP 2022
Adversarial Concept Erasure in Kernel Space EMNLP 2022
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables EMNLP 2022
m-Networks: Adapting the Triplet Networks for Acronym Disambiguation NAACL 2022
Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations NAACL 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks ICML 2022
COAT: Measuring Object Compositionality in Emergent Representations ICML 2022
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm ICML 2022
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks ICML 2022
Quantifying and Learning Linear Symmetry-Based Disentanglement ICML 2022
Reducing Domain mismatch in Self-supervised speech pre-training INTERSPEECH 2022