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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)

Marker-Removal Networks To Collect Precise 3D Hand Data for RGB-Based Estimation and Its Application in Piano WACV 2023 MARLIN: Masked Autoencoder for Facial Video Representation LearnINg CVPR 2023 MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive Learning SemEval 2023 Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog ACL 2023 Mask3D: Pre-Training 2D Vision Transformers by Learning Masked 3D Priors CVPR 2023 MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation AAAI 2023 MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining CVPR 2023 MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset CVPR 2023 Masked and Adaptive Transformer for Exemplar Based Image Translation CVPR 2023 Masked Audio Text Encoders are Effective Multi-Modal Rescorers ACL 2023 Masked Autoencoders Enable Efficient Knowledge Distillers CVPR 2023 Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond CVPR 2023 Masked Autoencoding Does Not Help Natural Language Supervision at Scale CVPR 2023 Masked Image Modeling with Denoising Contrast ICLR 2023 Masked Image Modeling With Local Multi-Scale Reconstruction CVPR 2023 Masked Images Are Counterfactual Samples for Robust Fine-Tuning CVPR 2023 Masked Image Training for Generalizable Deep Image Denoising CVPR 2023 Masked Latent Semantic Modeling: an Efficient Pre-training Alternative to Masked Language Modeling ACL 2023 Masked Motion Encoding for Self-Supervised Video Representation Learning CVPR 2023 Masked Path Modeling for Vision-and-Language Navigation EMNLP 2023 Masked Representation Learning for Domain Generalized Stereo Matching CVPR 2023 Masked Trajectory Models for Prediction, Representation, and Control ICML 2023 Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NeurIPS 2023 Masked Unsupervised Self-training for Label-free Image Classification ICLR 2023 Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning CVPR 2023