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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)

Phrase2VecGLM: Neural generalized language model–based semantic tagging for complex query reformulation in medical IR ACL 2018 Phrase-Based & Neural Unsupervised Machine Translation EMNLP 2018 Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings EMNLP 2018 Picking Apart Story Salads EMNLP 2018 PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018 Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling CVPR 2018 PixelSNAIL: An Improved Autoregressive Generative Model ICML 2018 Planning and Learning with Stochastic Action Sets IJCAI 2018 PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training IJCAI 2018 Playing hard exploration games by watching YouTube NeurIPS 2018 Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks NeurIPS 2018 Polarity and Intensity: the Two Aspects of Sentiment Analysis ACL 2018 Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018 Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018 Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing ACL 2018 Policy Optimization as Wasserstein Gradient Flows ICML 2018 Policy Optimization by Genetic Distillation ICLR 2018 Policy Optimization via Importance Sampling NeurIPS 2018 Policy Optimization with Demonstrations ICML 2018 Policy Regret in Repeated Games NeurIPS 2018 pomegranate: Fast and Flexible Probabilistic Modeling in Python JMLR 2018 Pose-Guided Photorealistic Face Rotation CVPR 2018 Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training IJCAI 2018 Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation IJCAI 2018 Practical Block-Wise Neural Network Architecture Generation CVPR 2018