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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

An Inductive Bias for Tabular Deep Learning NIPS 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations NIPS 2023
An Information Theory Perspective on Variance-Invariance-Covariance Regularization NIPS 2023
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NIPS 2023
RevColV2: Exploring Disentangled Representations in Masked Image Modeling NIPS 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex NIPS 2023
Leveraging sparse and shared feature activations for disentangled representation learning NIPS 2023
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