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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)

Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models NeurIPS 2024 Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features AAAI 2024 Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks AAAI 2024 Measuring the Inconsistency of Large Language Models in Preferential Ranking ACL 2024 Measuring the Robustness of NLP Models to Domain Shifts EMNLP 2024 MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning NeurIPS 2024 Mechanism design augmented with output advice NeurIPS 2024 MedBN: Robust Test-Time Adaptation against Malicious Test Samples CVPR 2024 MedCalc-Bench: Evaluating Large Language Models for Medical Calculations NeurIPS 2024 MedCycle: Unpaired Medical Report Generation via Cycle-Consistency NAACL 2024 Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification NeurIPS 2024 Media Framing: A typology and Survey of Computational Approaches Across Disciplines ACL 2024 Media Framing through the Lens of Event-Centric Narratives EMNLP 2024 MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning NAACL 2024 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement IJCAI 2024 mEdIT: Multilingual Text Editing via Instruction Tuning NAACL 2024 MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey NeurIPS 2024 Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NeurIPS 2024 MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering ACL 2024 MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models NeurIPS 2024 MEEL: Multi-Modal Event Evolution Learning ACL 2024 MEGAnno+: A Human-LLM Collaborative Annotation System EACL 2024 Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis ICLR 2024 MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning ACL 2024