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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)

Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NeurIPS 2024 Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation NAACL 2024 Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision EMNLP 2024 Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach EMNLP 2024 Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion AAAI 2024 Multi-Target User Stance Discovery on Reddit ACL 2024 Multi-Task Dense Prediction via Mixture of Low-Rank Experts CVPR 2024 Multi-Task Learning Improves Performance in Deep Argument Mining Models ACL 2024 Multi-task Learning with 3D-Aware Regularization ICLR 2024 Multitask Online Learning: Listen to the Neighborhood Buzz AISTATS 2024 Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts ICLR 2024 Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants EMNLP 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models NeurIPS 2024 MultiVerse: Efficient and Expressive Zero-Shot Multi-Task Text-to-Speech EMNLP 2024 Multiview Aerial Visual RECognition (MAVREC): Can Multi-view Improve Aerial Visual Perception? CVPR 2024 Multi-View Causal Representation Learning with Partial Observability ICLR 2024 Multi-View Classification Using Hybrid Fusion and Mutual Distillation WACV 2024 Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis NeurIPS 2024 Multi-View Representation is What You Need for Point-Cloud Pre-Training ICLR 2024 Multiway Point Cloud Mosaicking with Diffusion and Global Optimization CVPR 2024 Multi-world Model in Continual Reinforcement Learning AAAI 2024 MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning EMNLP 2024 MUSCLE: A Model Update Strategy for Compatible LLM Evolution EMNLP 2024 MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images ICLR 2024 MuseChat: A Conversational Music Recommendation System for Videos CVPR 2024