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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)

Regularization and Optimal Multiclass Learning COLT 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NeurIPS 2024 Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning ICML 2024 Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference NeurIPS 2024 REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration MIDL 2024 Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection AAAI 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data NeurIPS 2024 Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs ACL 2024 Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NeurIPS 2024 REInstruct: Building Instruction Data from Unlabeled Corpus ACL 2024 Relational Concept Bottleneck Models NeurIPS 2024 Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective ICML 2024 Relational Proxy Loss for Audio-Text based Keyword Spotting Interspeech 2024 Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation NeurIPS 2024 Relay Diffusion: Unifying diffusion process across resolutions for image synthesis ICLR 2024 Relevance-aware Diverse Query Generation for Out-of-domain Text Ranking ACL 2024 Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System EMNLP 2024 Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation AAAI 2024 RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method CVPR 2024 Relightable Gaussian Codec Avatars CVPR 2024 ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting NeurIPS 2024 ReMI: A Dataset for Reasoning with Multiple Images NeurIPS 2024 Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach IJCAI 2024 Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment ICLR 2024 Renovating Names in Open-Vocabulary Segmentation Benchmarks NeurIPS 2024