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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Estimating Conditional Average Treatment Effects with Missing Treatment Information AISTATS 2023
University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation ACL 2023
Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023
RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding ACL 2023
Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction ACL 2023
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning ACL 2023
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition ACL 2023
GreenKGC: A Lightweight Knowledge Graph Completion Method ACL 2023
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering NIPS 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation NIPS 2023
Quilt-1M: One Million Image-Text Pairs for Histopathology NIPS 2023
Adversarial Multi-task Learning for End-to-end Metaphor Detection ACL 2023
Label Agnostic Pre-training for Zero-shot Text Classification ACL 2023
UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning ACL 2023
Can LMs Store and Retrieve 1-to-N Relational Knowledge? ACL 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023
Robust Concept Erasure via Kernelized Rate-Distortion Maximization NIPS 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations MIDL 2023
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning NIPS 2023
Imbalanced Label Distribution Learning AAAI 2023
Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023
I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs AAAI 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations AAAI 2023
Bootstrapping Multi-View Representations for Fake News Detection AAAI 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023