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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NeurIPS 2019 Success Prediction on Crowdfunding with Multimodal Deep Learning IJCAI 2019 SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT CoNLL 2019 Summary Level Training of Sentence Rewriting for Abstractive Summarization EMNLP 2019 SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems NeurIPS 2019 Superset Technique for Approximate Recovery in One-Bit Compressed Sensing NeurIPS 2019 Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English EMNLP 2019 Supervised Classifiers for Audio Impairments with Noisy Labels Interspeech 2019 Supervised User Ranking in Signed Social Networks AAAI 2019 Supervising Unsupervised Open Information Extraction Models EMNLP 2019 Support and Invertibility in Domain-Invariant Representations AISTATS 2019 Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model ACL 2019 Surrogate Objectives for Batch Policy Optimization in One-step Decision Making NeurIPS 2019 Surveys without Questions: A Reinforcement Learning Approach AAAI 2019 Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov Models Interspeech 2019 SVM-Based Deep Stacking Networks AAAI 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019 Switch-LSTMs for Multi-Criteria Chinese Word Segmentation AAAI 2019 SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations SemEval 2019 Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language ACL 2019 Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning ICCV 2019 Synchronously Generating Two Languages with Interactive Decoding EMNLP 2019 SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion ICCV 2019 SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations EMNLP 2019 Syntax-aware Multilingual Semantic Role Labeling EMNLP 2019