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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights NIPS 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning NIPS 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations NIPS 2024
Non-convolutional graph neural networks. NIPS 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations NIPS 2024
DenoiseRep: Denoising Model for Representation Learning NIPS 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation NIPS 2024
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