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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)

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification ICML 2023 Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism SemEval 2023 CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning EMNLP 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NeurIPS 2023 CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning CVPR 2023 Code4Struct: Code Generation for Few-Shot Event Structure Prediction ACL 2023 CodeAnno: Extending WebAnno with Hierarchical Document Level Annotation and Automation EACL 2023 CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models AAAI 2023 Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023 Code Execution with Pre-trained Language Models ACL 2023 CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis ICLR 2023 CodeNLP at SemEval-2023 Task 2: Data Augmentation for Named Entity Recognition by Combination of Sequence Generation Strategies SemEval 2023 CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation RSS 2023 Code-Switched Text Synthesis in Unseen Language Pairs ACL 2023 CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation EMNLP 2023 CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis ICML 2023 CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NeurIPS 2023 CoEdIT: Text Editing by Task-Specific Instruction Tuning EMNLP 2023 Co-evolving data-driven and NLU-driven Synthesizers for Generating Code in Domain Growth and Data Scarcity EMNLP 2023 COFFEE: A Contrastive Oracle-Free Framework for Event Extraction ACL 2023 Cognitively Inspired Learning of Incremental Drifting Concepts IJCAI 2023 Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency EMNLP 2023 Coherent Probabilistic Forecasting of Temporal Hierarchies AISTATS 2023 Coherent Soft Imitation Learning NeurIPS 2023 COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts EMNLP 2023