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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Masksembles for Uncertainty Estimation CVPR 2021 MassiveSumm: a very large-scale, very multilingual, news summarisation dataset EMNLP 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021 Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation ACL 2021 Matchings with Group Fairness Constraints: Online and Offline Algorithms IJCAI 2021 MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation ACL 2021 Math Word Problem Solving with Explicit Numerical Values ACL 2021 Matrix games with bandit feedback UAI 2021 Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models EACL 2021 Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021 Maximum Roaming Multi-Task Learning AAAI 2021 MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training CVPR 2021 Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations ACML 2021 MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation CVPR 2021 MBA-VO: Motion Blur Aware Visual Odometry ICCV 2021 mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets ICCV 2021 mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model EMNLP 2021 Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021 Mean Shift for Self-Supervised Learning ICCV 2021 Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021 Measuring and Improving BERT’s Mathematical Abilities by Predicting the Order of Reasoning. ACL 2021 Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021 Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions ACL 2021 Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach ACL 2021 MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation MLHC 2021