← Learning Types
Machine Learning › Learning Types ›

Deep Learning

1397 directly classified papers

Papers per year

Papers

M3amba: Memory Mamba is All You Need for Whole Slide Image Classification CVPR 2025
Imbalance in Balance: Online Concept Balancing in Generation Models ICCV 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025
Arbitrary-steps Image Super-resolution via Diffusion Inversion CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025
Diversity-Enhanced Distribution Alignment for Dataset Distillation ICCV 2025
CUET_Big_O@NLU of Devanagari Script Languages 2025: Identifying Script Language and Detecting Hate Speech Using Deep Learning and Transformer Model COLING 2025
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks AAAI 2025
ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media EMNLP 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping AAAI 2025
Iterative Sparse Attention for Long-sequence Recommendation AAAI 2025
ExcluIR: Exclusionary Neural Information Retrieval AAAI 2025
Auto-Regressive Moving Diffusion Models for Time Series Forecasting AAAI 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP AAAI 2025
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers AAAI 2025
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025
DART: Distilling Autoregressive Reasoning to Silent Thought EMNLP 2025
R-TOFU: Unlearning in Large Reasoning Models EMNLP 2025
Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation EMNLP 2025
Learn and Unlearn: Addressing Misinformation in Multilingual LLMs EMNLP 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025