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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Transferable-Guided Attention is All You Need for Video Domain Adaptation WACV 2025 Transferable Post-training via Inverse Value Learning NAACL 2025 Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS IJCAI 2025 Transfer Learning for High-dimensional Reduced Rank Time Series Models AISTATS 2025 Transfer Learning for Nonparametric Contextual Dynamic Pricing ICML 2025 Transfer learning in latent contextual bandits with covariate shift through causal transportability CLeaR 2025 Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection AAAI 2025 Transferrable Surrogates in Expressive Neural Architecture Search Spaces AutoML 2025 Transferring Foundation Models for Generalizable Robotic Manipulation WACV 2025 Transferring Textual Preferences to Vision-Language Understanding through Model Merging ACL 2025 Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene CVPR 2025 Transformative or Conservative? Conservation laws for ResNets and Transformers ICML 2025 Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models ICCV 2025 Transformer Architectures for Vocabulary Test Item Difficulty Prediction ACL 2025 Transformer-Based Analysis of Adaptive and Maladaptive Self-States in Longitudinal Social Media Data NAACL 2025 Transformer-based Causal Language Models Perform Clustering NAACL 2025 Transformer-Based Real-Word Spelling Error Feedback with Configurable Confusion Sets ACL 2025 Transformer-Based Temporal Information Extraction and Application: A Review EMNLP 2025 Transformer-based Tooth Alignment Prediction with Occlusion and Collision Constraints ICCV 2025 TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models AAAI 2025 Transformer Layers as Painters AAAI 2025 Transformer Learns Optimal Variable Selection in Group-Sparse Classification ICLR 2025 Transformer Meets Twicing: Harnessing Unattended Residual Information ICLR 2025 Transformers are Provably Optimal In-context Estimators for Wireless Communications AISTATS 2025 Transformers are Universal In-context Learners ICLR 2025