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conftrace_

representation learning

6,926 papers

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Also known as

RL

Co-occurring keywords · papers mentioning both

contrastive learning (960) self-supervised learning (952) transfer learning (487) neural network (452) graph neural network (415) unsupervised learning (414) multimodal learning (327) domain adaptation (252) feature learning (216) knowledge distillation (209)

Papers

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding AAAI 2025 AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios CVPR 2025 A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation ICLR 2025 AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors ICLR 2025 A Practical Method for Generating String Counterfactuals NAACL 2025 APT: Adaptive Personalized Training for Diffusion Models with Limited Data CVPR 2025 A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning WACV 2025 A Representation Level Analysis of NMT Model Robustness to Grammatical Errors ACL 2025 Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions EMNLP 2025 A Self-Distillation Recipe for Neural Machine Translation ACL 2025 A Simple yet Effective Hypergraph Clustering Network IJCAI 2025 AstroLoc: Robust Space to Ground Image Localizer ICCV 2025 A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities IJCAI 2025 Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment AAAI 2025 A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets CVPR 2025 ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction ICCV 2025 A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning AISTATS 2025 Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning AAAI 2025 Attention as a Hypernetwork ICLR 2025 Attention-Guided Masked Autoencoders for Learning Image Representations WACV 2025 Augmenting Sequential Recommendation with Balanced Relevance and Diversity AAAI 2025 A Unified Data Representation Learning for Non-parametric Two-sample Testing UAI 2025 A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations ICLR 2025 A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation ICML 2025 Autoregressive Sequence Modeling for 3D Medical Image Representation AAAI 2025