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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
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2000
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Papers (including subtopics)

UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training CVPR 2021 UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021 UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification SemEval 2021 Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model ACL 2021 UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning ACL 2021 Unaligned Image-to-Image Translation by Learning to Reweight ICCV 2021 Unanswerable Question Correction in Question Answering over Personal Knowledge Base AAAI 2021 Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning NeurIPS 2021 Unbiased Teacher for Semi-Supervised Object Detection ICLR 2021 Uncertain Decisions Facilitate Better Preference Learning NeurIPS 2021 Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition ACL 2021 Uncertainty-aware Active Learning for Optimal Bayesian Classifier ICLR 2021 Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021 Uncertainty-aware Binary Neural Networks IJCAI 2021 Uncertainty-Aware Few-Shot Image Classification IJCAI 2021 Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021 Uncertainty-Aware Machine Translation Evaluation EMNLP 2021 Uncertainty-Aware Multi-View Representation Learning AAAI 2021 Uncertainty Calibration for Ensemble-Based Debiasing Methods NeurIPS 2021 Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection CVPR 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ICML 2021 Unchain the Search Space with Hierarchical Differentiable Architecture Search AAAI 2021