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Learning Types

56,253 papers (3 classified directly here)

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

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval ICCV 2021 Re-understanding Finite-State Representations of Recurrent Policy Networks ICML 2021 Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning CVPR 2021 Revealing the Reciprocal Relations Between Self-Supervised Stereo and Monocular Depth Estimation ICCV 2021 Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ICML 2021 Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ICCV 2021 Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations NeurIPS 2021 Revisiting Document Representations for Large-Scale Zero-Shot Learning NAACL 2021 Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NeurIPS 2021 Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization AAAI 2021 Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning AISTATS 2021 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning JMLR 2021 Revisiting Parity of Human vs. Machine Conversational Speech Transcription Interspeech 2021 Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning ICML 2021 Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline ICML 2021 Revisiting Pretraining with Adapters ACL 2021 Revisiting Projection-free Online Learning: the Strongly Convex Case AISTATS 2021 Revisiting ResNets: Improved Training and Scaling Strategies NeurIPS 2021 Revisiting Self-training for Few-shot Learning of Language Model EMNLP 2021 Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits EMNLP 2021 Revisiting Smoothed Online Learning NeurIPS 2021 Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs CVPR 2021 Revisiting the Negative Data of Distantly Supervised Relation Extraction ACL 2021 Revisiting Tri-training of Dependency Parsers EMNLP 2021