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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)

Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024 Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences EMNLP 2024 Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024 Making RL with Preference-based Feedback Efficient via Randomization ICLR 2024 MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection SemEval 2024 MALT Powers Up Adversarial Attacks NeurIPS 2024 MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection NeurIPS 2024 MambaTree: Tree Topology is All You Need in State Space Model NeurIPS 2024 MAmmoTH2: Scaling Instructions from the Web NeurIPS 2024 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning ICLR 2024 MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024 Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds AAAI 2024 Manipulation-Robust Selection of Citizens’ Assemblies AAAI 2024 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NeurIPS 2024 Many-Shot In-Context Learning NeurIPS 2024 MAP- and MLE-Based Teaching JMLR 2024 MapCoder: Multi-Agent Code Generation for Competitive Problem Solving ACL 2024 MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification EACL 2024 MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension EMNLP 2024 Mapping ‘when’-clauses in Latin American and Caribbean languages: an experiment in subtoken-based typology NAACL 2024 MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling CVPR 2024 Marathon: A Race Through the Realm of Long Context with Large Language Models ACL 2024 MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction EMNLP 2024 Margin-Based Active Learning of Classifiers JMLR 2024 Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024