Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Deep Learning
›
Learning Types
›
Contrastive Learning
1193 directly classified papers
Papers per year
2010: 1
2013: 1
2018: 5
2019: 9
2020: 28
2021: 143
2022: 265
2023: 301
2024: 231
2025: 206
2026: 3
Papers
Learning Generalizable Part-based Feature Representation for 3D Point Clouds
NIPS 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
NIPS 2022
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images
NIPS 2022
Uncovering the Structural Fairness in Graph Contrastive Learning
NIPS 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
NIPS 2022
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
NIPS 2022
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech
NIPS 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
NIPS 2022
ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval
CVPR 2022
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining
NIPS 2022
Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization
NIPS 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
NIPS 2022
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
NAACL 2022
Cross-modal Contrastive Learning for Speech Translation
NAACL 2022
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
NAACL 2022
Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities
NAACL 2022
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning
COLING 2022
CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation
COLING 2022
Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning
COLING 2022
Aligning Multilingual Embeddings for Improved Code-switched Natural Language Understanding
COLING 2022
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
COLING 2022
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition
COLING 2022
DESED: Dialogue-based Explanation for Sentence-level Event Detection
COLING 2022
Improving Deep Embedded Clustering via Learning Cluster-level Representations
COLING 2022
E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models
COLING 2022
<
1
…
33
34
35
…
48
>