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

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019 ADef: an Iterative Algorithm to Construct Adversarial Deformations ICLR 2019 A Discrete CVAE for Response Generation on Short-Text Conversation EMNLP 2019 A Discrete Hard EM Approach for Weakly Supervised Question Answering EMNLP 2019 A Discriminative Neural Model for Cross-Lingual Word Alignment EMNLP 2019 A distantly supervised dataset for automated data extraction from diagnostic studies ACL 2019 A Divergence Minimization Perspective on Imitation Learning Methods CoRL 2019 A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots IJCAI 2019 A Domain Agnostic Measure for Monitoring and Evaluating GANs NeurIPS 2019 A Dual Approach to Verify and Train Deep Networks IJCAI 2019 A Dual Attention Network with Semantic Embedding for Few-Shot Learning AAAI 2019 A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer IJCAI 2019 Advancing Sequence-to-Sequence Based Speech Recognition Interspeech 2019 AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking ICLR 2019 Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network ICLR 2019 ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR 2019 Adversarial Active Exploration for Inverse Dynamics Model Learning CoRL 2019 Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019 Adversarial Attack on Sentiment Classification ACL 2019 Adversarial Attacks Beyond the Image Space CVPR 2019 Adversarial Attacks on Graph Neural Networks via Meta Learning ICLR 2019 Adversarial Attacks on Neural Networks for Graph Data IJCAI 2019 Adversarial Attacks on Node Embeddings via Graph Poisoning ICML 2019 Adversarial Attention Modeling for Multi-dimensional Emotion Regression ACL 2019 Adversarial Audio Synthesis ICLR 2019