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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation AAAI 2025 Domain Generalizable Portrait Style Transfer ICCV 2025 Domain Generalization in CLIP via Learning with Diverse Text Prompts CVPR 2025 Domain Generalization using Large Pretrained Models with Mixture-of-Adapters WACV 2025 Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model ICLR 2025 Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization WACV 2025 Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract) AAAI 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 Domain Regeneration: How well do LLMs match syntactic properties of text domains? ACL 2025 DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation AAAI 2025 DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization AAAI 2025 DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning ACL 2025 Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts ACL 2025 DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms EMNLP 2025 DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025 Do not Abstain! Identify and Solve the Uncertainty ACL 2025 Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech ICML 2025 Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL ICLR 2025 Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025 Don’t Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models ACL 2025 Don’t stop pretraining! Efficiently building specialised language models in resource-constrained settings. NAACL 2025 Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025 Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs AAAI 2025 DONUT: A Decoder-Only Model for Trajectory Prediction ICCV 2025 Doppelgangers and Adversarial Vulnerability CVPR 2025