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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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Papers (including subtopics)

Does Typological Blinding Impede Cross-Lingual Sharing? EACL 2021 Do Language Models Know the Way to Rome? EMNLP 2021 Domain adaptation in practice: Lessons from a real-world information extraction pipeline EACL 2021 Domain adaptation under structural causal models JMLR 2021 Domain Adaptation With Auxiliary Target Domain-Oriented Classifier CVPR 2021 Domain-Adaptive Few-Shot Learning WACV 2021 Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation ICCV 2021 Domain Consensus Clustering for Universal Domain Adaptation CVPR 2021 Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract) AAAI 2021 Domain Generalization by Marginal Transfer Learning JMLR 2021 Domain Impression: A Source Data Free Domain Adaptation Method WACV 2021 Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks EMNLP 2021 Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval IJCAI 2021 Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting WACV 2021 Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021 Do not neglect related languages: The case of low-resource Occitan cross-lingual word embeddings EMNLP 2021 Don’t Change Me! User-Controllable Selective Paraphrase Generation EACL 2021 Don’t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques EMNLP 2021 Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness IJCAI 2021 Don’t Search for a Search Method — Simple Heuristics Suffice for Adversarial Text Attacks EMNLP 2021 Do Response Selection Models Really Know What’s Next? Utterance Manipulation Strategies for Multi-turn Response Selection AAAI 2021 DORO: Distributional and Outlier Robust Optimization ICML 2021 Do Sound Event Representations Generalize to Other Audio Tasks? A Case Study in Audio Transfer Learning Interspeech 2021 DOTS: Decoupling Operation and Topology in Differentiable Architecture Search CVPR 2021 Double/Debiased Machine Learning for Dynamic Treatment Effects NeurIPS 2021