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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

Large Language Models Can Learn Representation in Natural Language ACL 2024
Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning ACL 2024
MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning ACL 2024
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents ACL 2024
Triple-Encoders: Representations That Fire Together, Wire Together ACL 2024
Do Llamas Work in English? On the Latent Language of Multilingual Transformers ACL 2024
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives ACL 2024
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval ACL 2024
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024
Learning Job Title Representation from Job Description Aggregation Network ACL 2024
Comparing Edge-based and Node-based Methods on a Citation Prediction Task EMNLP 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024
Individuation in Neural Models with and without Visual Grounding EMNLP 2024
Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing EMNLP 2024
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models EMNLP 2024
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships CVPR 2024
Learning Group Activity Features Through Person Attribute Prediction CVPR 2024
FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models CVPR 2024
GLID: Pre-training a Generalist Encoder-Decoder Vision Model CVPR 2024
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning CVPR 2024
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets CVPR 2024
Learning Equi-angular Representations for Online Continual Learning CVPR 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning CVPR 2024
Hierarchical Correlation Clustering and Tree Preserving Embedding CVPR 2024