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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

Predicting What You Already Know Helps: Provable Self-Supervised Learning NIPS 2021
Revisiting Model Stitching to Compare Neural Representations NIPS 2021
Hyperbolic Busemann Learning with Ideal Prototypes NIPS 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks NIPS 2021
Neighborhood Contrastive Learning for Novel Class Discovery CVPR 2021
Implicit Regularization in ReLU Networks with the Square Loss COLT 2021
Unsupervised Part Discovery from Contrastive Reconstruction NIPS 2021
Adversarial Training Helps Transfer Learning via Better Representations NIPS 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning NIPS 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NIPS 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision NIPS 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation NIPS 2021
Independent Prototype Propagation for Zero-Shot Compositionality NIPS 2021
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses NIPS 2021
Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding CVPR 2021
RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction AAAI 2021
On the Representation Power of Set Pooling Networks NIPS 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations NIPS 2021
SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & Relocalization CORL 2021
Code-switched inspired losses for spoken dialog representations EMNLP 2021
DualNet: Continual Learning, Fast and Slow NIPS 2021
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers NIPS 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models EMNLP 2021
A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging EMNLP 2021
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals EACL 2021