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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)

Causal Intervention-based Few-Shot Named Entity Recognition EMNLP 2023 Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension ACL 2023 Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023 Causality-aware Concept Extraction based on Knowledge-guided Prompting ACL 2023 Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023 Causal Strategic Classification: A Tale of Two Shifts ICML 2023 Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023 Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning CLeaR 2023 CauSE: Causal Search Engine for Understanding Contact-Center Conversations Interspeech 2023 CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation ICCV 2023 CBA: Improving Online Continual Learning via Continual Bias Adaptor ICCV 2023 CCEval: A Representative Evaluation Benchmark for the Chinese-centric Multilingual Machine Translation EMNLP 2023 CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation EMNLP 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023 CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification ICCV 2023 CEIL: Generalized Contextual Imitation Learning NeurIPS 2023 CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels ACL 2023 CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation WACV 2023 Cell Variational Information Bottleneck Network ACML 2023 CEMA – Cost-Efficient Machine-Assisted Document Annotations AAAI 2023 CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration AAAI 2023 Center-Aware Adversarial Augmentation for Single Domain Generalization WACV 2023 Centerless Multi-View K-means Based on the Adjacency Matrix AAAI 2023 Certifiable Out-of-Distribution Generalization AAAI 2023