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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)

Automated Acquisition of Patterns for Coding Political Event Data: Two Case Studies COLING 2018 Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network ACL 2018 Automatically Tailoring Unsupervised Morphological Segmentation to the Language EMNLP 2018 Automatic Detection of Vague Words and Sentences in Privacy Policies EMNLP 2018 Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning EMNLP 2018 Automatic Goal Generation for Reinforcement Learning Agents ICML 2018 Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network IJCAI 2018 Automatic Poetry Generation with Mutual Reinforcement Learning EMNLP 2018 Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach EMNLP 2018 Automatic Stance Detection Using End-to-End Memory Networks NAACL 2018 Automating Bayesian optimization with Bayesian optimization NeurIPS 2018 Autonomously Reusing Knowledge in Multiagent Reinforcement Learning IJCAI 2018 Autonomous Thermalling as a Partially Observable Markov Decision Process RSS 2018 Autoregressive Quantile Networks for Generative Modeling ICML 2018 Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration CVPR 2018 Avoiding Speaker Overfitting in End-to-End DNNs Using Raw Waveform for Text-Independent Speaker Verification Interspeech 2018 A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning IJCAI 2018 A Weighted Superposition of Functional Contours Model for Modelling Contextual Prominence of Elementary Prosodic Contours Interspeech 2018 Backpropagating through Structured Argmax using a SPIGOT ACL 2018 Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari IJCAI 2018 Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation EMNLP 2018 Bag of Experts Architectures for Model Reuse in Conversational Language Understanding NAACL 2018 Balanced Policy Evaluation and Learning NeurIPS 2018 Banach Wasserstein GAN NeurIPS 2018 Bandit Learning with Positive Externalities NeurIPS 2018