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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

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
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NIPS 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP NIPS 2024
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NIPS 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NIPS 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs NIPS 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NIPS 2024
Shape analysis for time series NIPS 2024
Learning Structured Representations with Hyperbolic Embeddings NIPS 2024
Your contrastive learning problem is secretly a distribution alignment problem NIPS 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals NIPS 2024
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NIPS 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NIPS 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NIPS 2024
Directed Hypergraph Representation Learning for Link Prediction AISTATS 2024
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024
On the Generalization Ability of Unsupervised Pretraining AISTATS 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning AISTATS 2024
Deep Learning-Based Alternative Route Computation AISTATS 2024