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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

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
Causally Inspired Regularization Enables Domain General Representations AISTATS 2024
Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation Assessment INTERSPEECH 2024
Exploring the Role of Node Diversity in Directed Graph Representation Learning IJCAI 2024
Heterogeneous Graph Transformer with Poly-Tokenization IJCAI 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024
Disentangling Domain and General Representations for Time Series Classification IJCAI 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024