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Representation Learning

4516 directly classified papers

Papers per year

Papers

Adaptive Discovering and Merging for Incremental Novel Class Discovery AAAI 2024
Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision AAAI 2024
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction AAAI 2024
Knowledge Enhanced Representation Learning for Drug Discovery AAAI 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024
VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation AAAI 2024
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration WACV 2024
Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment AAAI 2024
Dense Projection for Anomaly Detection AAAI 2024
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation AAAI 2024
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification AAAI 2024
A Sequential Learning-Based Approach for Monocular Human Performance Capture WACV 2024
Learning Robust Deep Visual Representations From EEG Brain Recordings WACV 2024
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation EMNLP 2024
Modality-Aware Representation Learning for Zero-Shot Sketch-Based Image Retrieval WACV 2024
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning EMNLP 2024
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning AAAI 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NIPS 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NIPS 2024
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning CVPR 2024
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning NIPS 2024