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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)

Towards Reliable Learning for High Stakes Applications AAAI 2019 Towards Robust Named Entity Recognition for Historic German ACL 2019 Towards Robust Relational Causal Discovery UAI 2019 Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation CVPR 2019 Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search AAAI 2019 Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1 ACL 2019 Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach AAAI 2019 Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues Interspeech 2019 Towards Unsupervised Image Captioning With Shared Multimodal Embeddings ICCV 2019 Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings ACL 2019 Towards Zero-resource Cross-lingual Entity Linking EMNLP 2019 Towards Zero-shot Language Modeling EMNLP 2019 Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers CVPR 2019 Trainable Undersampling for Class-Imbalance Learning AAAI 2019 Training Complex Models with Multi-Task Weak Supervision AAAI 2019 Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content EMNLP 2019 Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019 Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students AAAI 2019 Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability ICLR 2019 Training Image Estimators without Image Ground Truth NeurIPS 2019 Training Neural Machine Translation to Apply Terminology Constraints ACL 2019 Training Neural Networks with Local Error Signals ICML 2019 Training Neural Response Selection for Task-Oriented Dialogue Systems ACL 2019 Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation EMNLP 2019 Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering NAACL 2019