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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)

Understanding and Stabilizing GANs’ Training Dynamics Using Control Theory ICML 2020 Understanding Chat Messages for Sticker Recommendation in Messaging Apps AAAI 2020 Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere ICML 2020 Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities AAAI 2020 Understanding Human Hands in Contact at Internet Scale CVPR 2020 Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness ICLR 2020 Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses AAAI 2020 Understanding Neural Abstractive Summarization Models via Uncertainty EMNLP 2020 Understanding Self-Attention of Self-Supervised Audio Transformers Interspeech 2020 Understanding Self-Training for Gradual Domain Adaptation ICML 2020 Understanding tables with intermediate pre-training EMNLP 2020 Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020 Understanding the Effects of Batching in Online Active Learning AISTATS 2020 Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models AISTATS 2020 Understanding the Language of Political Agreement and Disagreement in Legislative Texts ACL 2020 Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020 Understanding the Role of Training Regimes in Continual Learning NeurIPS 2020 Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model IJCAI 2020 Understanding the Tradeoff between Cost and Quality of Expert Annotations for Keyphrase Extraction COLING 2020 Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering AAAI 2020 UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database AACL 2020 Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings CVPR 2020 Universal Adversarial Attacks on Spoken Language Assessment Systems Interspeech 2020 Universal Adversarial Training AAAI 2020 Universal Domain Adaptation through Self Supervision NeurIPS 2020