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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)

Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training EMNLP 2020 Extracting Semantic Aspects for Structured Representation of Clinical Trial Eligibility Criteria EMNLP 2020 Extreme Classification via Adversarial Softmax Approximation ICLR 2020 Extremely Dense Point Correspondences Using a Learned Feature Descriptor CVPR 2020 Extreme Multi-label Classification from Aggregated Labels ICML 2020 Facebook AI’s WMT20 News Translation Task Submission EMNLP 2020 FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction CVPR 2020 Facet-Aware Evaluation for Extractive Summarization ACL 2020 Fact-Aware Sentence Split and Rephrase with Permutation Invariant Training AAAI 2020 Fact or Fiction: Verifying Scientific Claims EMNLP 2020 Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses NeurIPS 2020 Fair Contextual Multi-Armed Bandits: Theory and Experiments UAI 2020 Fair Division: The Computer Scientist’s Perspective IJCAI 2020 Fair Division Through Information Withholding AAAI 2020 Fair Generative Modeling via Weak Supervision ICML 2020 Fair Multiple Decision Making Through Soft Interventions NeurIPS 2020 Fairness-Aware Neural Rényi Minimization for Continuous Features IJCAI 2020 Fairness Evaluation in Presence of Biased Noisy Labels AISTATS 2020 Fairness without Demographics through Adversarially Reweighted Learning NeurIPS 2020 FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020 Fake news detection for the Russian language COLING 2020 FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces IJCAI 2020 Faking Fairness via Stealthily Biased Sampling AAAI 2020 Fashion Editing With Adversarial Parsing Learning CVPR 2020 Fast Adaptation to New Environments via Policy-Dynamics Value Functions ICML 2020