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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)

ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension ACL 2022 Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks IJCAI 2022 ReCo: Retrieve and Co-segment for Zero-shot Transfer NeurIPS 2022 Recovering the Propensity Score from Biased Positive Unlabeled Data AAAI 2022 Recurrent Dynamic Embedding for Video Object Segmentation CVPR 2022 Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs ICML 2022 Recursive Reasoning in Minimax Games: A Level k Gradient Play Method NeurIPS 2022 Recursive Reinforcement Learning NeurIPS 2022 Red Teaming Language Models with Language Models EMNLP 2022 Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives EMNLP 2022 Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract) AAAI 2022 Reducing Disambiguation Biases in NMT by Leveraging Explicit Word Sense Information NAACL 2022 Reducing Domain mismatch in Self-supervised speech pre-training Interspeech 2022 Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off ICLR 2022 Reducing Flipping Errors in Deep Neural Networks AAAI 2022 Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation Interspeech 2022 Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity MLHC 2022 Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing COLING 2022 Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks ICML 2022 Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics NAACL 2022 Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation AAAI 2022 RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses Interspeech 2022 Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model NeurIPS 2022 Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality EMNLP 2022 Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements ACL 2022