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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)

CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024 CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024 CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts COLING 2024 Correcting Diffusion Generation through Resampling CVPR 2024 Correcting Language Model Bias for Text Classification in True Zero-Shot Learning COLING 2024 Correlation-Aware Active Learning for Surgery Video Segmentation WACV 2024 Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities CVPR 2024 CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation CVPR 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024 CoSAEmb: Contrastive Section-aware Aspect Embeddings for Scientific Articles ACL 2024 Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation EMNLP 2024 CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise NeurIPS 2024 CoT-based Data Augmentation Strategy for Persuasion Techniques Detection SemEval 2024 CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering EMNLP 2024 Co-training for Low Resource Scientific Natural Language Inference ACL 2024 CoUDA: Coherence Evaluation via Unified Data Augmentation NAACL 2024 CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples ACL 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis AAAI 2024 Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint) AAAI 2024 Counterfactual Fairness by Combining Factual and Counterfactual Predictions NeurIPS 2024 Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract) AAAI 2024 Countering Personalized Text-to-Image Generation with Influence Watermarks CVPR 2024 Countering Relearning with Perception Revising Unlearning ACML 2024 Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024