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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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Papers (including subtopics)

Accelerating Reinforcement Learning with Learned Skill Priors CoRL 2020 Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning MIDL 2020 Accurate Detection of Wake Word Start and End Using a CNN Interspeech 2020 ACFlow: Flow Models for Arbitrary Conditional Likelihoods ICML 2020 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020 Achieving Multi-Accent ASR via Unsupervised Acoustic Model Adaptation Interspeech 2020 Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020 A Closer Look at Small-loss Bounds for Bandits with Graph Feedback COLT 2020 A Closer Look at the Optimization Landscapes of Generative Adversarial Networks ICLR 2020 A Combinatorial Perspective on Transfer Learning NeurIPS 2020 A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings Interspeech 2020 A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction ACL 2020 A Compare Aggregate Transformer for Understanding Document-grounded Dialogue EMNLP 2020 A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle ACL 2020 A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support EMNLP 2020 A Computational Separation between Private Learning and Online Learning NeurIPS 2020 A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder EMNLP 2020 A Constraint-Based Approach to Learning and Explanation AAAI 2020 A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions NeurIPS 2020 A convex optimization formulation for multivariate regression NeurIPS 2020 A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction NeurIPS 2020 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Interspeech 2020 Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation AAAI 2020 Acquiring language from speech by learning to remember and predict CoNLL 2020 A critical analysis of self-supervision, or what we can learn from a single image ICLR 2020