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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)

Towards one-shot learning for rare-word translation with external experts ACL 2018 Towards Reverse-Engineering Black-Box Neural Networks ICLR 2018 Towards Robust Detection of Adversarial Examples NeurIPS 2018 Towards Robust Neural Machine Translation ACL 2018 Towards Sample Efficient Reinforcement Learning IJCAI 2018 Towards Semi-Supervised Learning for Deep Semantic Role Labeling EMNLP 2018 Towards Synthesizing Complex Programs From Input-Output Examples ICLR 2018 Towards Temporal Modelling of Categorical Speech Emotion Recognition Interspeech 2018 Towards Text Generation with Adversarially Learned Neural Outlines NeurIPS 2018 Towards Universal Representation for Unseen Action Recognition CVPR 2018 Trading robust representations for sample complexity through self-supervised visual experience NeurIPS 2018 Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings ICML 2018 Training and Prediction Data Discrepancies: Challenges of Text Classification with Noisy, Historical Data EMNLP 2018 Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data ACL 2018 Training Augmentation with Adversarial Examples for Robust Speech Recognition Interspeech 2018 Training Classifiers with Natural Language Explanations ACL 2018 Training deep learning based denoisers without ground truth data NeurIPS 2018 Trajectory-User Linking via Variational AutoEncoder IJCAI 2018 Transductive Unbiased Embedding for Zero-Shot Learning CVPR 2018 Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification CVPR 2018 Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation EMNLP 2018 Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement ICML 2018 Transfer Learning Based Progressive Neural Networks for Acoustic Modeling in Statistical Parametric Speech Synthesis Interspeech 2018 Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce ACL 2018 Transfer Learning for Improving Speech Emotion Classification Accuracy Interspeech 2018