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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)

Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph EMNLP 2025 DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025 Difficulty-aware Balancing Margin Loss for Long-tailed Recognition AAAI 2025 DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models ACL 2025 DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts AAAI 2025 DiffRGenNet: Difference-aware Medical Report Generation MIDL 2025 DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation CVPR 2025 DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising ACL 2025 Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces ICML 2025 Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance WACV 2025 Diffusion-based Event Generation for High-Quality Image Deblurring CVPR 2025 Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning ICCV 2025 Diffusion Model is Effectively Its Own Teacher CVPR 2025 Diffusion Predictive Control with Constraints L4DC 2025 Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution AAAI 2025 Diffusion Self-Distillation for Zero-Shot Customized Image Generation CVPR 2025 DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning EMNLP 2025 DiNaM: Disinformation Narrative Mining with Large Language Models EMNLP 2025 Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection CVPR 2025 DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation ACL 2025 DIP: Unsupervised Dense In-Context Post-training of Visual Representations ICCV 2025 Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses Interspeech 2025 Direct Prompt Optimization with Continuous Representations ACL 2025 Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback ACL 2025 Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models AAAI 2025