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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)

Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding NeurIPS 2024 MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning WACV 2024 MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection COLING 2024 MID-FiLD: MIDI Dataset for Fine-Level Dynamics AAAI 2024 MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning ACL 2024 MILES: Making Imitation Learning Easy with Self-Supervision CoRL 2024 MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion NAACL 2024 MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model CVPR 2024 Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation AAAI 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation CVPR 2024 MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages NeurIPS 2024 MIND: Multi-Task Incremental Network Distillation AAAI 2024 Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models NeurIPS 2024 Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation CVPR 2024 Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NeurIPS 2024 Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NeurIPS 2024 Mind the Graph When Balancing Data for Fairness or Robustness NeurIPS 2024 Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning ICLR 2024 Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents COLING 2024 MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery AAAI 2024 MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents EMNLP 2024 MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction EMNLP 2024