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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

Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024
Learning Representations for Robust Human-Robot Interaction AAAI 2024
Visual Abstract Reasoning in Computational Imagery AAAI 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts EMNLP 2024
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks NAACL 2024
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations NAACL 2024
Different Tokenization Schemes Lead to Comparable Performance in Spanish Number Agreement NAACL 2024
Exploring Semantics in Pretrained Language Model Attention NAACL 2024
Dense Projection for Anomaly Detection AAAI 2024
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications AAAI 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations AAAI 2024
Urban Region Embedding via Multi-View Contrastive Prediction AAAI 2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation AAAI 2024
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition AAAI 2024
Non-parametric Representation Learning with Kernels AAAI 2024
Selective Deep Autoencoder for Unsupervised Feature Selection AAAI 2024
Improving Distinguishability of Class for Graph Neural Networks AAAI 2024
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024
Fairness without Demographics through Shared Latent Space-Based Debiasing AAAI 2024
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024
Deep Incomplete Multi-View Learning Network with Insufficient Label Information AAAI 2024