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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

Style Neophile: Constantly Seeking Novel Styles for Domain Generalization CVPR 2022
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding INTERSPEECH 2022
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning INTERSPEECH 2022
ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition INTERSPEECH 2022
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech INTERSPEECH 2022
Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus INTERSPEECH 2022
JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data JMLR 2022
On the Difficulty of Defending Self-Supervised Learning against Model Extraction ICML 2022
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning ICML 2022
Efficient Representation Learning via Adaptive Context Pooling ICML 2022
Channel Importance Matters in Few-Shot Image Classification ICML 2022
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers ICML 2022
Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022
Position Prediction as an Effective Pretraining Strategy ICML 2022
Contrastive Learning with Boosted Memorization ICML 2022
On the Surrogate Gap between Contrastive and Supervised Losses ICML 2022
On the Equivalence Between Temporal and Static Equivariant Graph Representations ICML 2022
The CLRS Algorithmic Reasoning Benchmark ICML 2022
Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022
Active Multi-Task Representation Learning ICML 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation ICML 2022
Do More Negative Samples Necessarily Hurt In Contrastive Learning? ICML 2022
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations ICML 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning ICML 2022
Investigating Why Contrastive Learning Benefits Robustness against Label Noise ICML 2022