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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Revisiting Consistency Regularization for Deep Partial Label Learning ICML 2022 Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework ICML 2022 Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction EMNLP 2022 Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective CVPR 2022 Revisiting Grammatical Error Correction Evaluation and Beyond EMNLP 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NeurIPS 2022 Revisiting Injective Attacks on Recommender Systems NeurIPS 2022 Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning CVPR 2022 Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness ICML 2022 Revisiting Sparse Convolutional Model for Visual Recognition NeurIPS 2022 Revisiting Syllables in Language Modelling and Their Application on Low-Resource Machine Translation COLING 2022 Revisiting text decomposition methods for NLI-based factuality scoring of summaries EMNLP 2022 Revisiting the Effects of Leakage on Dependency Parsing ACL 2022 Revisiting the "Video" in Video-Language Understanding CVPR 2022 Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers ACL 2022 Revisiting Weakly Supervised Pre-Training of Visual Perception Models CVPR 2022 Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold NAACL 2022 Revisit Systematic Generalization via Meaningful Learning EMNLP 2022 Reward-Free Policy Space Compression for Reinforcement Learning AISTATS 2022 Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022 Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation ACL 2022 Reward-Weighted Regression Converges to a Global Optimum AAAI 2022 Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity COLING 2022 Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models ACL 2022 REX: Reasoning-Aware and Grounded Explanation CVPR 2022