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

Diverse Imagenet Models Transfer Better WACV 2024

Debiasing, Calibrating, and Improving Semi-Supervised Learning Performance via Simple Ensemble Projector WACV 2024

Self-Supervised Representation Learning With Cross-Context Learning Between Global and Hypercolumn Features WACV 2024

ABLE: Agency-BeLiefs Embedding to Address Stereotypical Bias through Awareness Instead of Obliviousness COLING 2024

A Closer Look at Clustering Bilingual Comparable Corpora COLING 2024

CARE: Co-Attention Network for Joint Entity and Relation Extraction COLING 2024

Code-Mixed Probes Show How Pre-Trained Models Generalise on Code-Switched Text COLING 2024

Exploring Interpretability of Independent Components of Word Embeddings with Automated Word Intruder Test COLING 2024

Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning COLING 2024

Finding Educationally Supportive Contexts for Vocabulary Learning with Attention-Based Models COLING 2024

Hyperbolic Representations for Prompt Learning COLING 2024

Prompt Tuning for Few-shot Relation Extraction via Modeling Global and Local Graphs COLING 2024

SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity COLING 2024

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction COLING 2024

Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks COLING 2024

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion COLING 2024

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning AAAI 2024

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning AAAI 2024

Robust Node Classification on Graph Data with Graph and Label Noise AAAI 2024

Multi-Modal Disordered Representation Learning Network for Description-Based Person Search AAAI 2024

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning AAAI 2024

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering AAAI 2024

Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm AAAI 2024

RPSC: Robust Pseudo-Labeling for Semantic Clustering AAAI 2024

Towards Making Learnware Specification and Market Evolvable AAAI 2024