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Representation Learning

2843 directly classified papers

Papers per year

Papers

Self-Supervised Acoustic Word Embedding Learning via Correspondence Transformer Encoder INTERSPEECH 2023
Graph Attention Retrospective JMLR 2023
RankSEG: A Consistent Ranking-based Framework for Segmentation JMLR 2023
Robust Methods for High-Dimensional Linear Learning JMLR 2023
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023
PrimeNet: Pre-training for Irregular Multivariate Time Series AAAI 2023
Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023
Learnable Path in Neural Controlled Differential Equations AAAI 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning AAAI 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks AAAI 2023
Dual Cache for Long Document Neural Coreference Resolution ACL 2023
Disentangled Phonetic Representation for Chinese Spelling Correction ACL 2023
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation ACL 2023
The CRINGE Loss: Learning what language not to model ACL 2023
Multiview Identifiers Enhanced Generative Retrieval ACL 2023
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval ACL 2023
What is the best recipe for character-level encoder-only modelling? ACL 2023
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary ACL 2023
Towards Balanced Representation Learning for Credit Policy Evaluation AISTATS 2023
Feasible Recourse Plan via Diverse Interpolation AISTATS 2023
Robust and Agnostic Learning of Conditional Distributional Treatment Effects AISTATS 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023
Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023
Learning to Generalize Provably in Learning to Optimize AISTATS 2023