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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

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction NIPS 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition NIPS 2024
Towards a theory of how the structure of language is acquired by deep neural networks NIPS 2024
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NIPS 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NIPS 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NIPS 2024
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning NIPS 2024
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model NIPS 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NIPS 2024
Measuring Dejavu Memorization Efficiently NIPS 2024
LinNet: Linear Network for Efficient Point Cloud Representation Learning NIPS 2024
Self-Guided Masked Autoencoder NIPS 2024
Intrinsic Self-Supervision for Data Quality Audits NIPS 2024
Learning De-Biased Representations for Remote-Sensing Imagery NIPS 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NIPS 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NIPS 2024
How Diffusion Models Learn to Factorize and Compose NIPS 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control NIPS 2024
Multi-Label Open Set Recognition NIPS 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion NIPS 2024
Towards Robust Multimodal Sentiment Analysis with Incomplete Data NIPS 2024
ReFT: Representation Finetuning for Language Models NIPS 2024
On the Comparison between Multi-modal and Single-modal Contrastive Learning NIPS 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space NIPS 2024