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cl4nlp-dm's Introduction

CL4nlp-dm

Contrastive learning (& some transfer learning) for natural language processing & data mining

WWW 2022

  • Zero-Shot Stance Detection via Contrastive Learning Paper

AAAI 2022

ICLR 2022

  • Incremental False Negative Detection for Contrastive Learning Paper
  • Chaos is a Ladder: A New Understanding of Contrastive Learning Paper
  • Anomaly Detection for Tabular Data with Internal Contrastive Learning Paper
  • No One Representation to Rule Them All: Overlapping Features of Training Methods Paper
  • Generative Models as a Data Source for Multiview Representation Learning Paper
  • Revisiting Over-smoothing in BERT from the Perspective of Graph Paper
  • GNN-LM: Language Modeling based on Global Contexts via GNN Paper
  • A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?" Paper
  • Expressiveness and Approximation Properties of Graph Neural Networks Paper
  • Neural Structured Prediction for Inductive Node Classification Paper
  • Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption Paper
  • Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation Paper
  • MAML is a Noisy Contrastive Learner Paper
  • Contrastive Learning is Just Meta-Learning Paper
  • Understanding Dimensional Collapse in Contrastive Self-supervised Learning Paper
  • Learning Weakly-supervised Contrastive Representations Paper
  • ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning Paper
  • How Does SimSiam Avoid Collapse Without Negative Samples? Towards a Unified Understanding of Progress in SSL Paper
  • ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning Paper
  • Open-World Semi-Supervised Learning Paper
  • Poisoning and Backdooring Contrastive Learning Paper

EMNLP 2021

  • SimCSE: Simple Contrastive Learning of Sentence Embeddings Paper Code

NIPS 2021

ICML 2021

  • Learning Transferable Visual Models From Natural Language Supervision Paper Code

ACL 2021

NIPS 2020

  • Supervised Contrastive Learning Paper

ICML 2020

  • Understanding contrastive representation learning through alignment and uniformity on the hypersphere PaperCode

Arxiv & CV

  • Meta-learning for Few-shot Natural Language Processing: A Survey Paper
  • Momentum Contrast for Unsupervised Visual Representation Learning Paper
  • Improved Baselines with Momentum Contrastive Learning Paper
  • Understanding the Behaviour of Contrastive Loss Paper

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