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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025 From Isolates to Families: Using Neural Networks for Automated Language Affiliation ACL 2025 From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology Interspeech 2025 From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning ICML 2025 From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing EMNLP 2025 From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics ICLR 2025 From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations ICCV 2025 From Lists to Emojis: How Format Bias Affects Model Alignment ACL 2025 From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding EMNLP 2025 From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models ACL 2025 From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs ACL 2025 From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment ACL 2025 From One to More: Contextual Part Latents for 3D Generation ICCV 2025 From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025 From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025 From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025 From Pretraining to Performance: Benchmarking Self-Supervised Speech Models for Interspeech-25 SER Challenge Interspeech 2025 From Promise to Practice: Realizing High-performance Decentralized Training ICLR 2025 From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition ICCV 2025 From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling CVPR 2025 From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning ACL 2025 From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding ACL 2025 From Recall to Creation: Generating Follow-Up Questions Using Bloom’s Taxonomy and Grice’s Maxims ACL 2025 From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks NAACL 2025 From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning ICCV 2025