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Representation Learning

2843 directly classified papers

Papers per year

Papers

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy ACL 2024
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers AISTATS 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
Free-form Flows: Make Any Architecture a Normalizing Flow AISTATS 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024
Multi-Domain Causal Representation Learning via Weak Distributional Invariances AISTATS 2024
Towards Practical Non-Adversarial Distribution Matching AISTATS 2024
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024
Zero-shot Cross-lingual Alignment for Embedding Initialization ACL 2024
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies ACL 2024
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024
Learning Job Title Representation from Job Description Aggregation Network ACL 2024
Double InfoGAN for Contrastive Analysis AISTATS 2024
Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector ACL 2024
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales NAACL 2024
Paraphrasing in Affirmative Terms Improves Negation Understanding ACL 2024
Emergent specialization from participation dynamics and multi-learner retraining AISTATS 2024
Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models COLING 2024
Plot Retrieval as an Assessment of Abstract Semantic Association ACL 2024
Semantics or spelling? Probing contextual word embeddings with orthographic noise ACL 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis COLING 2024
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting ACL 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers ACL 2024