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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Power of Ordered Hypothesis Testing ICML 2016 PPP: Joint Pointwise and Pairwise Image Label Prediction CVPR 2016 Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks COLING 2016 Predicting the Evocation Relation between Lexicalized Concepts COLING 2016 Preference Completion from Partial Rankings NeurIPS 2016 Preliminary Experiments on Unsupervised Word Discovery in Mboshi Interspeech 2016 Pricing a Low-regret Seller ICML 2016 Privacy Odometers and Filters: Pay-as-you-Go Composition NeurIPS 2016 Private Causal Inference AISTATS 2016 Processing and Adaptation to Ambiguous Sounds during the Course of Perceptual Learning Interspeech 2016 Professor Forcing: A New Algorithm for Training Recurrent Networks NeurIPS 2016 Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images NeurIPS 2016 Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent NeurIPS 2016 Pull the Plug? Predicting If Computers or Humans Should Segment Images CVPR 2016 Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests JMLR 2016 Random Fourier Features For Operator-Valued Kernels ACML 2016 Ranking Responses Oriented to Conversational Relevance in Chat-bots COLING 2016 Real-Time Tracking of Speakers’ Emotions, States, and Traits on Mobile Platforms Interspeech 2016 Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion CVPR 2016 Reconstructing Parameters of Spreading Models from Partial Observations NeurIPS 2016 Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning CVPR 2016 Recurrent Dropout without Memory Loss COLING 2016 Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis COLING 2016 ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering CVPR 2016 Refined Lower Bounds for Adversarial Bandits NeurIPS 2016