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contrastive learning

4032 papers

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CL

Co-occurring keywords

representation learning (6206) self-supervised learning (3777) multimodal learning (4645) unsupervised learning (3264) graph neural network (3962) vision-language model (2348) zero-shot learning (3650) domain adaptation (4595) large language model (13587) transfer learning (5449)

Papers

Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation CVPR 2024
Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation CVPR 2024
Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification EACL 2024
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM EACL 2024
Unsupervised Contrast-Consistent Ranking with Language Models EACL 2024
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models EACL 2024
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding EACL 2024
Aspect-based Key Point Analysis for Quantitative Summarization of Reviews EACL 2024
Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization EACL 2024
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders ACL 2024
What Do Language Models Hear? Probing for Auditory Representations in Language Models ACL 2024
Text-to-Song: Towards Controllable Music Generation Incorporating Vocal and Accompaniment ACL 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NIPS 2024
Reasons to Reject? Aligning Language Models with Judgments ACL 2024
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models ACL 2024
Learning Multimodal Contrast with Cross-modal Memory and Reinforced Contrast Recognition ACL 2024
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder ACL 2024
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation ACL 2024
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling ACL 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction NIPS 2024
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models NIPS 2024
Sample Selection via Contrastive Fragmentation for Noisy Label Regression NIPS 2024
Understanding the Role of Equivariance in Self-supervised Learning NIPS 2024
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence NIPS 2024
BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation ACL 2024