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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)

MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity SemEval 2024 MarkLLM: An Open-Source Toolkit for LLM Watermarking EMNLP 2024 Markov Equivalence and Consistency in Differentiable Structure Learning NeurIPS 2024 Marrying Causal Representation Learning with Dynamical Systems for Science NeurIPS 2024 MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024 MARS: Multimodal Active Robotic Sensing for Articulated Characterization IJCAI 2024 MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation CVPR 2024 MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning NeurIPS 2024 Mask-Based Modeling for Neural Radiance Fields ICLR 2024 MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning CVPR 2024 MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation CVPR 2024 Masked and Shuffled Blind Spot Denoising for Real-World Images CVPR 2024 Masked AutoDecoder is Effective Multi-Task Vision Generalist CVPR 2024 Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology CVPR 2024 Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners ICLR 2024 Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation WACV 2024 Masked Completion via Structured Diffusion with White-Box Transformers ICLR 2024 Masked Distillation Advances Self-Supervised Transformer Architecture Search ICLR 2024 Masked Event Modeling: Self-Supervised Pretraining for Event Cameras WACV 2024 Masked Pre-training Enables Universal Zero-shot Denoiser NeurIPS 2024 Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models ACL 2024 Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation AAAI 2024 Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where WACV 2024 Masking Latent Gender Knowledge for Debiasing Image Captioning NAACL 2024 MaskSR: Masked Language Model for Full-band Speech Restoration Interspeech 2024