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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CoRL 2017 The Power of Random Counterexamples ALT 2017 The Price of Differential Privacy for Online Learning ICML 2017 The Promise of Premise: Harnessing Question Premises in Visual Question Answering EMNLP 2017 The Scaling Limit of High-Dimensional Online Independent Component Analysis NeurIPS 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Thresholding Bandits with Augmented UCB IJCAI 2017 Thresholding Based Outlier Robust PCA COLT 2017 Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NeurIPS 2017 Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality JMLR 2017 Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017 Topically Driven Neural Language Model ACL 2017 Topic Identification for Speech Without ASR Interspeech 2017 Topic Signatures in Political Campaign Speeches EMNLP 2017 Toward Multimodal Image-to-Image Translation NeurIPS 2017 Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NeurIPS 2017 Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses ACL 2017 Towards a Universal Sentiment Classifier in Multiple languages EMNLP 2017 Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL 2017 Towards Intelligent Crowdsourcing for Audio Data Annotation: Integrating Active Learning in the Real World Interspeech 2017 Towards Neural Machine Translation with Partially Aligned Corpora IJCNLP 2017 Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning CoRL 2017 Towards Speech Emotion Recognition “in the Wild” Using Aggregated Corpora and Deep Multi-Task Learning Interspeech 2017 Towards speech-to-text translation without speech recognition EACL 2017 Towards String-To-Tree Neural Machine Translation ACL 2017