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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)

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference ACL 2025 PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices WACV 2025 PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images AAAI 2025 PlanGPT: Enhancing Urban Planning with a Tailored Agent Framework ACL 2025 Planning-Aware Code Infilling via Horizon-Length Prediction EMNLP 2025 Planning-Driven Programming: A Large Language Model Programming Workflow ACL 2025 PLA: Prompt Learning Attack against Text-to-Image Generative Models ICCV 2025 PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling AAAI 2025 Playpen: An Environment for Exploring Learning From Dialogue Game Feedback EMNLP 2025 Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation EMNLP 2025 Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater CVPR 2025 Pluralistic Alignment for Healthcare: A Role-Driven Framework EMNLP 2025 PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter CVPR 2025 POIL:Preference Optimization for Imitation Learning ACML 2025 Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model MIDL 2025 Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner ICCV 2025 PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model AAAI 2025 Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models EMNLP 2025 Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud WACV 2025 Point-Level Topological Representation Learning on Point Clouds ICML 2025 POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion EMNLP 2025 PointSR: Self-Regularized Point Supervision for Drone-View Object Detection CVPR 2025 POI Recommendation via Multi-Objective Adversarial Imitation Learning AAAI 2025 PokerBench: Training Large Language Models to Become Professional Poker Players AAAI 2025 Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model ICLR 2025