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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Many-Shot In-Context Learning NeurIPS 2024 MapCoder: Multi-Agent Code Generation for Competitive Problem Solving ACL 2024 Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets NeurIPS 2024 MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension EMNLP 2024 Mapping the Multiverse of Latent Representations ICML 2024 Map-Relative Pose Regression for Visual Re-Localization CVPR 2024 MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling CVPR 2024 MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization IJCAI 2024 Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024 MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline ACL 2024 Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context AAAI 2024 MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024 MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin ACL 2024 MASIVE: Open-Ended Affective State Identification in English and Spanish EMNLP 2024 MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning CVPR 2024 MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation AAAI 2024 Masked and Shuffled Blind Spot Denoising for Real-World Images CVPR 2024 Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology CVPR 2024 Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation WACV 2024 Masked Pre-training Enables Universal Zero-shot Denoiser NeurIPS 2024 Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement CVPR 2024 Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models ACL 2024 Mask Grounding for Referring Image Segmentation CVPR 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