Artificial Intelligence › Core AI ›

Representation Learning

20 directly classified papers

Papers per year

Papers

QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026

On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings ACL 2025

Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction EMNLP 2024

TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline ACL 2023

Layout Representation Learning with Spatial and Structural Hierarchies AAAI 2023

Instance Regularization for Discriminative Language Model Pre-training EMNLP 2022

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning NIPS 2022

Meta-Complementing the Semantics of Short Texts in Neural Topic Models NIPS 2022

Syntax-guided Contrastive Learning for Pre-trained Language Model ACL 2022

Continual General Chunking Problem and SyncMap AAAI 2021

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021

Learning One Representation to Optimize All Rewards NIPS 2021

Hypernym Detection Using Strict Partial Order Networks AAAI 2020

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations NIPS 2020

S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020

Unsupervised Distillation of Syntactic Information from Contextualized Word Representations EMNLP 2020

Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces AAAI 2019

Integrating Recurrence Dynamics for Speech Emotion Recognition INTERSPEECH 2018

Adversarial Contrastive Estimation ACL 2018

GILBO: One Metric to Measure Them All NIPS 2018