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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)

MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification NAACL 2024 MAFA: Managing False Negatives for Vision-Language Pre-training CVPR 2024 MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model CVPR 2024 MagiCapture: High-Resolution Multi-Concept Portrait Customization AAAI 2024 MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions ICML 2024 Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification CVPR 2024 MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution NeurIPS 2024 Magnushammer: A Transformer-Based Approach to Premise Selection ICLR 2024 MAGPIE: Multi-Task Analysis of Media-Bias Generalization with Pre-Trained Identification of Expressions COLING 2024 Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection SemEval 2024 MAIR: A Massive Benchmark for Evaluating Instructed Retrieval EMNLP 2024 Major Entity Identification: A Generalizable Alternative to Coreference Resolution EMNLP 2024 Majority Rules Guided Aspect-Category Based Sentiment Analysis via Label Prior Knowledge COLING 2024 Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion NeurIPS 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024 Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis EMNLP 2024 Make Continual Learning Stronger via C-Flat NeurIPS 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024 Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024 MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance Interspeech 2024 Make Your LLM Fully Utilize the Context NeurIPS 2024 Making AI Policies Transparent to Humans through Demonstrations AAAI 2024 Making a Long Story Short in Conversation Modeling EACL 2024 Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024