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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)

Mitigating Spurious Correlations via Disagreement Probability NeurIPS 2024 Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization AAAI 2024 Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer EMNLP 2024 MIVC: Multiple Instance Visual Component for Visual-Language Models WACV 2024 Mixed-Effects Contextual Bandits AAAI 2024 Mixed Models with Multiple Instance Learning AISTATS 2024 Mixing classifiers to alleviate the accuracy-robustness trade-off L4DC 2024 MixRED: A Mix-lingual Relation Extraction Dataset COLING 2024 MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection ICLR 2024 Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning NeurIPS 2024 Mixture of Demonstrations for In-Context Learning NeurIPS 2024 Mixture of Experts Meets Prompt-Based Continual Learning NeurIPS 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NeurIPS 2024 Mixture-of-Linear-Experts for Long-term Time Series Forecasting AISTATS 2024 Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models COLING 2024 Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding COLING 2024 Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024 Mixtures of Experts for Audio-Visual Learning NeurIPS 2024 Mixup-Induced Domain Extrapolation for Domain Generalization AAAI 2024 MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis COLING 2024 MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures ACML 2024 MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning CVPR 2024 MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation AAAI 2024 ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets Interspeech 2024 MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024