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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

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NIPS 2023
Dialect Representation Learning with Neural Dialect-to-Standard Normalization EACL 2023
Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation Space EACL 2023
What Does BERT actually Learn about Event Coreference? Probing Structural Information in a Fine-Tuned Dutch Language Model EACL 2023
Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction EACL 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features EACL 2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs NIPS 2023
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NIPS 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers NIPS 2023
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits NIPS 2023
Representation Learning via Consistent Assignment of Views over Random Partitions NIPS 2023
Geometry-Aware Adaptation for Pretrained Models NIPS 2023
Latent Space Translation via Semantic Alignment NIPS 2023
The emergence of clusters in self-attention dynamics NIPS 2023
Reverse Engineering Self-Supervised Learning NIPS 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NIPS 2023
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization NIPS 2023
Implicit variance regularization in non-contrastive SSL NIPS 2023
Feature Selection in the Contrastive Analysis Setting NIPS 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality NIPS 2023
From Trainable Negative Depth to Edge Heterophily in Graphs NIPS 2023
Self-Supervised Unimodal Label Generation Strategy Using Recalibrated Modality Representations for Multimodal Sentiment Analysis EACL 2023
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining CORL 2023
Twin Contrastive Learning With Noisy Labels CVPR 2023
PMR: Prototypical Modal Rebalance for Multimodal Learning CVPR 2023