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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)

Equitable and Optimal Transport with Multiple Agents AISTATS 2021 Equivalent Causal Models AAAI 2021 Equivariant Imaging: Learning Beyond the Range Space ICCV 2021 ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ACL 2021 ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora EMNLP 2021 ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs AAAI 2021 Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting AAAI 2021 Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation CoRL 2021 Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments RSS 2021 Error Identification for Machine Translation with Metric Embedding and Attention EMNLP 2021 Error-Sensitive Evaluation for Ordinal Target Variables EMNLP 2021 ESC: Redesigning WSD with Extractive Sense Comprehension NAACL 2021 Essay Quality Signals as Weak Supervision for Source-based Essay Scoring EACL 2021 Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021 Estimating Multi-cause Treatment Effects via Single-cause Perturbation NeurIPS 2021 Estimating α-Rank by Maximizing Information Gain AAAI 2021 Estimation and Optimization of Composite Outcomes JMLR 2021 eTranslation’s Submissions to the WMT 2021 News Translation Task EMNLP 2021 eTREE: Learning Tree-structured Embeddings AAAI 2021 Euphemistic Phrase Detection by Masked Language Model EMNLP 2021 EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders MLHC 2021 EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation AAAI 2021 Evaluating Deception Detection Model Robustness To Linguistic Variation NAACL 2021 Evaluating Evaluation Measures for Ordinal Classification and Ordinal Quantification ACL 2021 Evaluating model performance under worst-case subpopulations NeurIPS 2021