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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)

Robust Solutions for Multi-Defender Stackelberg Security Games IJCAI 2022 Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks AISTATS 2022 Robust Streaming PCA NeurIPS 2022 Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients CVPR 2022 Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering EMNLP 2022 Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022 Robust Testing in High-Dimensional Sparse Models NeurIPS 2022 Robust textual embedding against word-level adversarial attacks UAI 2022 Robust Training under Label Noise by Over-parameterization ICML 2022 Robust Trajectory Prediction against Adversarial Attacks CoRL 2022 Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning ICLR 2022 Robust Weight Perturbation for Adversarial Training IJCAI 2022 RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining ACL 2022 RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022 Role of Human-AI Interaction in Selective Prediction AAAI 2022 RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022 Root Cause Analysis of Failures in Microservices through Causal Discovery NeurIPS 2022 RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning IJCAI 2022 ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022 RotoGrad: Gradient Homogenization in Multitask Learning ICLR 2022 R&R: Metric-guided Adversarial Sentence Generation AACL 2022 RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning NeurIPS 2022 RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022 RSGT: Relational Structure Guided Temporal Relation Extraction COLING 2022 S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NeurIPS 2022