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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)

Learning from eXtreme Bandit Feedback AAAI 2021 Learning from Limited Labels for Long Legal Dialogue EMNLP 2021 Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition ACL 2021 Learning from Multimedia Data with Incomplete Information IJCAI 2021 Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding EMNLP 2021 Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks AAAI 2021 Learning from Nested Data with Ornstein Auto-Encoders ICML 2021 Learning From Noisy Data With Robust Representation Learning ICCV 2021 Learning from Noisy Labels for Entity-Centric Information Extraction EMNLP 2021 Learning from Noisy Labels with Complementary Loss Functions AAAI 2021 Learning from Noisy Labels with No Change to the Training Process ICML 2021 Learning from others' mistakes: Avoiding dataset biases without modeling them ICLR 2021 Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training ACL 2021 Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale EACL 2021 Learning from Similarity-Confidence Data ICML 2021 Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading CVPR 2021 Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ACL 2021 Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos RSS 2021 Learning Generalizable Visual Representations via Interactive Gameplay ICLR 2021 Learning Generalized Gumbel-max Causal Mechanisms NeurIPS 2021 Learning Generalized Unsolvability Heuristics for Classical Planning IJCAI 2021 Learning Goals From Failure CVPR 2021 Learning Graph Embeddings for Compositional Zero-Shot Learning CVPR 2021 Learning Graphs for Knowledge Transfer With Limited Labels CVPR 2021 Learning Hard Retrieval Decoder Attention for Transformers EMNLP 2021