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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)

PointPatchMix: Point Cloud Mixing with Patch Scoring AAAI 2024 Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models AAAI 2024 PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models IJCAI 2024 Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024 Point-VOS: Pointing Up Video Object Segmentation CVPR 2024 Polarization of Autonomous Generative AI Agents Under Echo Chambers ACL 2024 Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts CVPR 2024 Policy Improvement using Language Feedback Models NeurIPS 2024 Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NeurIPS 2024 Polos: Multimodal Metric Learning from Human Feedback for Image Captioning CVPR 2024 POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment ACL 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization CVPR 2024 Position: The Platonic Representation Hypothesis ICML 2024 Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation CVPR 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? NeurIPS 2024 PostureHMR: Posture Transformation for 3D Human Mesh Recovery CVPR 2024 Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation NeurIPS 2024 PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation AAAI 2024 PPTSER: A Plug-and-Play Tag-guided Method for Few-shot Semantic Entity Recognition on Visually-rich Documents ACL 2024 PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization CVPR 2024 PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models CVPR 2024 PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment EMNLP 2024 Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins MIDL 2024