representation learning

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023 FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction ACL 2023 Foundation Model for Material Science AAAI 2023 Frame Flexible Network CVPR 2023 Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023 From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection ICCV 2023 From Trainable Negative Depth to Edge Heterophily in Graphs NeurIPS 2023 Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning CVPR 2023 FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning AAAI 2023 Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023 Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods ICML 2023 FUSSL: Fuzzy Uncertain Self Supervised Learning WACV 2023 FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue ACL 2023 GC-Flow: A Graph-Based Flow Network for Effective Clustering ICML 2023 GeneCIS: A Benchmark for General Conditional Image Similarity CVPR 2023 Generalised f-Mean Aggregation for Graph Neural Networks NeurIPS 2023 Generalist: Decoupling Natural and Robust Generalization CVPR 2023 Generalization Analysis for Contrastive Representation Learning ICML 2023 Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning IJCAI 2023 Generalized Information-theoretic Multi-view Clustering NeurIPS 2023 Generative Graph Dictionary Learning ICML 2023 Generic-to-Specific Distillation of Masked Autoencoders CVPR 2023 Geodesic Multi-Modal Mixup for Robust Fine-Tuning NeurIPS 2023 Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training CVPR 2023 Geometry-Aware Adaptation for Pretrained Models NeurIPS 2023