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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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2000
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Papers (including subtopics)

Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss NeurIPS 2018 Uncovering Causality from Multivariate Hawkes Integrated Cumulants JMLR 2018 Understanding Short-Horizon Bias in Stochastic Meta-Optimization ICLR 2018 Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners NeurIPS 2018 UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing SemEval 2018 Universal Agent for Disentangling Environments and Tasks ICLR 2018 Universal Growth in Production Economies NeurIPS 2018 Universal Language Model Fine-tuning for Text Classification ACL 2018 Universal Neural Machine Translation for Extremely Low Resource Languages NAACL 2018 Universal Sentence Encoder for English EMNLP 2018 Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach ACL 2018 Unspeech: Unsupervised Speech Context Embeddings Interspeech 2018 Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization ACL 2018 Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition Interspeech 2018 Unsupervised Adversarial Invariance NeurIPS 2018 Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR Interspeech 2018 Unsupervised Attention-guided Image-to-Image Translation NeurIPS 2018 Unsupervised Bilingual Lexicon Induction via Latent Variable Models EMNLP 2018 Unsupervised Correlation Analysis CVPR 2018 Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns CVPR 2018 Unsupervised Cross-lingual Transfer of Word Embedding Spaces EMNLP 2018 Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces NeurIPS 2018 Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss IJCAI 2018 Unsupervised Deep Generative Adversarial Hashing Network CVPR 2018 Unsupervised Detection of Metaphorical Adjective-Noun Pairs NAACL 2018