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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)

Adversarial Binary Collaborative Filtering for Implicit Feedback AAAI 2019 Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization Interspeech 2019 Adversarial camera stickers: A physical camera-based attack on deep learning systems ICML 2019 Adversarial Category Alignment Network for Cross-domain Sentiment Classification NAACL 2019 Adversarial Decomposition of Text Representation NAACL 2019 Adversarial Defense by Stratified Convolutional Sparse Coding CVPR 2019 Adversarial Defense Through Network Profiling Based Path Extraction CVPR 2019 Adversarial Defense via Learning to Generate Diverse Attacks ICCV 2019 Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019 Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP 2019 Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation ACL 2019 Adversarial Dropout for Recurrent Neural Networks AAAI 2019 Adversarial Examples Are a Natural Consequence of Test Error in Noise ICML 2019 Adversarial Examples Are Not Bugs, They Are Features NeurIPS 2019 Adversarial Examples for Graph Data: Deep Insights into Attack and Defense IJCAI 2019 Adversarial examples from computational constraints ICML 2019 Adversarial Feedback Loop ICCV 2019 Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition ICCV 2019 Adversarial Fisher Vectors for Unsupervised Representation Learning NeurIPS 2019 Adversarial Framing for Image and Video Classification AAAI 2019 Adversarial Generation of Time-Frequency Features with application in audio synthesis ICML 2019 Adversarial Graph Embedding for Ensemble Clustering IJCAI 2019 Adversarial Imitation Learning from Incomplete Demonstrations IJCAI 2019 Adversarial Imitation via Variational Inverse Reinforcement Learning ICLR 2019 Adversarial Incomplete Multi-view Clustering IJCAI 2019