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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)

Align-A-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing CVPR 2025 AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation ACL 2025 AlignGuard: Scalable Safety Alignment for Text-to-Image Generation ICCV 2025 Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection AAAI 2025 Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction EMNLP 2025 Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences AAAI 2025 Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation AAAI 2025 Aligning Language Models with Demonstrated Feedback ICLR 2025 Aligning Large Language Models for Faithful Integrity Against Opposing Argument AAAI 2025 Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering ACL 2025 Aligning Large Language Models with Implicit Preferences from User-Generated Content ACL 2025 Aligning Multimodal Representations through an Information Bottleneck ICML 2025 Aligning Sizes of Intermediate Layers by LoRA Adapter for Knowledge Distillation NAACL 2025 Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening EMNLP 2025 Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement CVPR 2025 AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment CVPR 2025 Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering CVPR 2025 Alignment with Fill-In-the-Middle for Enhancing Code Generation EMNLP 2025 Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback ACL 2025 AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment EMNLP 2025 A Little Human Data Goes A Long Way ACL 2025 ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval EMNLP 2025 AlleNoise - large-scale text classification benchmark dataset with real-world label noise AISTATS 2025 Alleviating Hallucinations in Large Language Models via Truthfulness-driven Rank-adaptive LoRA ACL 2025 Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025