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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)

Field-wise Learning for Multi-field Categorical Data NeurIPS 2020 Fighting Copycat Agents in Behavioral Cloning from Observation Histories NeurIPS 2020 Filtering Back-Translated Data in Unsupervised Neural Machine Translation COLING 2020 Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization AAAI 2020 Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020 Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020 Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning AAAI 2020 Finding Network Misconfigurations by Automatic Template Inference NSDI 2020 Findings of the 2020 Conference on Machine Translation (WMT20) EMNLP 2020 Findings of the First Shared Task on Lifelong Learning Machine Translation EMNLP 2020 Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages AACL 2020 Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP 2020 Finding the Homology of Decision Boundaries with Active Learning NeurIPS 2020 Fine-Grained Argument Unit Recognition and Classification AAAI 2020 Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention CVPR 2020 Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features WACV 2020 Fine-Grained Image-to-Image Transformation Towards Visual Recognition CVPR 2020 Fine-Grained Machine Teaching with Attention Modeling AAAI 2020 Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations AAAI 2020 FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding CVPR 2020 Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning COLING 2020 Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020 Fine-tuning Neural Machine Translation on Gender-Balanced Datasets COLING 2020 Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent COLT 2020 Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020