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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)

A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents COLING 2020 A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency AAAI 2020 A Joint Model for Document Segmentation and Segment Labeling ACL 2020 A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation EMNLP 2020 A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining EMNLP 2020 A Knowledge Transfer Framework for Differentially Private Sparse Learning AAAI 2020 A Large-Scale Corpus of E-mail Conversations with Standard and Two-Level Dialogue Act Annotations COLING 2020 A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis AAAI 2020 A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal ACL 2020 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations ICLR 2020 A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020 A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning COLING 2020 A Learning Strategy for Contrast-agnostic MRI Segmentation MIDL 2020 Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020 Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020 Alibaba Submission to the WMT20 Parallel Corpus Filtering Task EMNLP 2020 ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020 Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations AAAI 2020 Alignment-free Cross-lingual Semantic Role Labeling EMNLP 2020 “A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media EMNLP 2020 A Little Bit Is Worse Than None: Ranking with Limited Training Data EMNLP 2020 A Little Fog for a Large Turn WACV 2020 Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training IJCAI 2020 Alleviation of Gradient Exploding in GANs: Fake Can Be Real CVPR 2020