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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations 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 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 Overfitting During Speech Foundation Model Fine-tuning: Applications to Dysarthric Speech Detection Interspeech 2025 Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion ACL 2025 Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement AAAI 2025 Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach Interspeech 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations WACV 2025 Mixed-Curvature Multi-Modal Knowledge Graph Completion AAAI 2025 MixerMDM: Learnable Composition of Human Motion Diffusion Models CVPR 2025 Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025 Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection AAAI 2025 Mixture of Languages: Improved Multilingual Encoders Through Language Grouping EMNLP 2025 Mixture of LoRA Experts for Continual Information Extraction with LLMs EMNLP 2025 Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition Interspeech 2025 Mixture of Multimodal Adapters for Sentiment Analysis NAACL 2025 Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code ICCV 2025 Mixture of Small and Large Models for Chinese Spelling Check ACL 2025 Mixup Regularization: A Probabilistic Perspective UAI 2025