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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Knowledge-Guided Object Discovery with Acquired Deep Impressions AAAI 2021
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning AAAI 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021
Multi-type Disentanglement without Adversarial Training AAAI 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021
Improved Mutual Information Estimation AAAI 2021
Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021
Deep Mutual Information Maximin for Cross-Modal Clustering AAAI 2021
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021
Learning with Noisy Correspondence for Cross-modal Matching NIPS 2021
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NIPS 2021
Independent mechanism analysis, a new concept? NIPS 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs NIPS 2021
Artistic Style Transfer with Internal-external Learning and Contrastive Learning NIPS 2021
Multi-Scale Representation Learning on Proteins NIPS 2021
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NIPS 2021
Asymptotics of representation learning in finite Bayesian neural networks NIPS 2021
Learning Semantic Representations to Verify Hardware Designs NIPS 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning NIPS 2021
Relative Flatness and Generalization NIPS 2021
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck NIPS 2021
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NIPS 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style NIPS 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction NIPS 2021
Multiresolution Knowledge Distillation for Anomaly Detection CVPR 2021