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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)

Recovering Complete Actions for Cross-dataset Skeleton Action Recognition NeurIPS 2024 Recovering document annotations for sentence-level bitext ACL 2024 Recursive Introspection: Teaching Language Model Agents How to Self-Improve NeurIPS 2024 RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates AAAI 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024 Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models AAAI 2024 Re-Evaluating LiDAR Scene Flow WACV 2024 REFACTOR: Learning to Extract Theorems from Proofs ICLR 2024 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations ICML 2024 Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NeurIPS 2024 Referencing Where to Focus: Improving Visual Grounding with Referential Query NeurIPS 2024 Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation AAAI 2024 REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset ACL 2024 Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis ACL 2024 Refining App Reviews: Dataset, Methodology, and Evaluation EMNLP 2024 Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024 Reflected Schrödinger Bridge for Constrained Generative Modeling UAI 2024 Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain ACL 2024 ReFT: Representation Finetuning for Language Models NeurIPS 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Regeneration Learning: A Learning Paradigm for Data Generation AAAI 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 RegionGPT: Towards Region Understanding Vision Language Model CVPR 2024 RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding CVPR 2024 Regressor-Segmenter Mutual Prompt Learning for Crowd Counting CVPR 2024