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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Relaxing Equivariance Constraints with Non-stationary Continuous Filters NeurIPS 2022 RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning EMNLP 2022 Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification AAAI 2022 Reliable Inlier Evaluation for Unsupervised Point Cloud Registration AAAI 2022 RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction EMNLP 2022 Remember Intentions: Retrospective-Memory-Based Trajectory Prediction CVPR 2022 Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks NeurIPS 2022 ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising AAAI 2022 REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos AAAI 2022 Removing Batch Normalization Boosts Adversarial Training ICML 2022 Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation AAAI 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NeurIPS 2022 RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection IJCAI 2022 Replacing Labeled Real-Image Datasets With Auto-Generated Contours CVPR 2022 Rep-Net: Efficient On-Device Learning via Feature Reprogramming CVPR 2022 Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories COLING 2022 Representation Compensation Networks for Continual Semantic Segmentation CVPR 2022 Representation Learning for Conversational Data using Discourse Mutual Information Maximization NAACL 2022 Representation Learning for Resource-Constrained Keyphrase Generation EMNLP 2022 Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification Interspeech 2022 Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting CVPR 2022 Representing 3D Shapes With Probabilistic Directed Distance Fields CVPR 2022 Representing Spatial Trajectories as Distributions NeurIPS 2022 Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization ACL 2022 Residual Learning of Neural Text Generation with n-gram Language Model EMNLP 2022