Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
5
1
2
47
50
53
51
87
90
125
229
234
453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
'5
'10
'15
'20
'25
Papers (including subtopics)
Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel
ACL 2025
Mitigating analytical variability in fMRI with style transfer
MIDL 2025
Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation
EMNLP 2025
Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches
AAAI 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning
EMNLP 2025
Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination
ICCV 2025
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking
ACL 2025
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
AAAI 2025
Mitigating Geometric Degradation in Fast DownSampling via FastAdapter for Point Cloud Segmentation
ICCV 2025
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
NAACL 2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
AAAI 2025
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
EMNLP 2025
Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
CVPR 2025
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
EMNLP 2025
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
NAACL 2025
Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets
EMNLP 2025
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
NAACL 2025
Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression
EMNLP 2025
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
ICML 2025
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
ACL 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
IJCAI 2025
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
ICML 2025
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
CVPR 2025
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
EMNLP 2025
Mitigating Object Hallucinations via Sentence-Level Early Intervention
ICCV 2025