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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
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4,652
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2000
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Papers (including subtopics)

The Uncertainty Bellman Equation and Exploration ICML 2018 The University of Birmingham 2018 Spoken CALL Shared Task Systems Interspeech 2018 The Weighted Kendall and High-order Kernels for Permutations ICML 2018 Thoracic Disease Identification and Localization With Limited Supervision CVPR 2018 Thread Popularity Prediction and Tracking with a Permutation-invariant Model EMNLP 2018 THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning SemEval 2018 Thwarting Adversarial Examples: An L_0-Robust Sparse Fourier Transform NeurIPS 2018 Tied Multitask Learning for Neural Speech Translation NAACL 2018 Time Aggregation Operators for Multi-label Audio Event Detection Interspeech 2018 Time Limits in Reinforcement Learning ICML 2018 Token-level and sequence-level loss smoothing for RNN language models ACL 2018 Topic Intrusion for Automatic Topic Model Evaluation EMNLP 2018 TopRank: A practical algorithm for online stochastic ranking NeurIPS 2018 Total stochastic gradient algorithms and applications in reinforcement learning NeurIPS 2018 To Trust Or Not To Trust A Classifier NeurIPS 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018 Towards a Better Metric for Evaluating Question Generation Systems EMNLP 2018 Towards an argumentative content search engine using weak supervision COLING 2018 Towards an Unsupervised Entrainment Distance in Conversational Speech Using Deep Neural Networks Interspeech 2018 Towards Black-box Iterative Machine Teaching ICML 2018 Towards Controllable Story Generation NAACL 2018 Towards Deep Learning Models Resistant to Adversarial Attacks ICLR 2018 Towards Enabling Binary Decomposition for Partial Label Learning IJCAI 2018 Towards Fast Computation of Certified Robustness for ReLU Networks ICML 2018 Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection CVPR 2018