← Learning Types
Machine Learning › Learning Types ›

Representation Learning

2843 directly classified papers

Papers per year

Papers

Contrastive losses as generalized models of global epistasis NIPS 2024
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings EMNLP 2024
Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs AAAI 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NIPS 2024
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer EMNLP 2024
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NIPS 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NIPS 2024
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning NIPS 2024
End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding AAAI 2024
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching NIPS 2024
Continual Learning in the Frequency Domain NIPS 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? NIPS 2024
Towards a theory of how the structure of language is acquired by deep neural networks NIPS 2024
Link Prediction in Multilayer Networks via Cross-Network Embedding AAAI 2024
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning NIPS 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NIPS 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data NIPS 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters NIPS 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations AAAI 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training NIPS 2024
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers ACL 2024