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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)

FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation EMNLP 2021 Field-Guide-Inspired Zero-Shot Learning ICCV 2021 Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech EMNLP 2021 Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society EMNLP 2021 Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble NAACL 2021 FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding AAAI 2021 Finding a Balanced Degree of Automation for Summary Evaluation EMNLP 2021 Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021 Finding Needles in Heterogeneous Haystacks AAAI 2021 Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance NeurIPS 2021 Finding Representative Interpretations on Convolutional Neural Networks ICCV 2021 Findings of the 2021 Conference on Machine Translation (WMT21) EMNLP 2021 Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering ACL 2021 Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set EMNLP 2021 Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation EMNLP 2021 Findings of the WMT 2021 Shared Task on Quality Estimation EMNLP 2021 Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT EMNLP 2021 Findings of the WMT Shared Task on Machine Translation Using Terminologies EMNLP 2021 Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text Simplification EACL 2021 Finding the needle in a haystack: Extraction of Informative COVID-19 Danish Tweets EMNLP 2021 Fine-Grained Angular Contrastive Learning With Coarse Labels CVPR 2021 Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments ACL 2021 Fine-grained Entity Typing without Knowledge Base EMNLP 2021 Fine-grained Event Classification in News-like Text Snippets - Shared Task 2, CASE 2021 ACL 2021 Fine-grained Factual Consistency Assessment for Abstractive Summarization Models EMNLP 2021