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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)

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels CVPR 2021 Relating Adversarially Robust Generalization to Flat Minima ICCV 2021 Relational Classification of Biological Cells in Microscopy Images AAAI 2021 Relation Also Need Attention: Integrating Relation Information Into Image Captioning ACML 2021 Relative Importance in Sentence Processing ACL 2021 Relative Uncertainty Learning for Facial Expression Recognition NeurIPS 2021 Relative Variational Intrinsic Control AAAI 2021 Relevance-CAM: Your Model Already Knows Where To Look CVPR 2021 Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract) AAAI 2021 ReMix: Towards Image-to-Image Translation With Limited Data CVPR 2021 REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement AAAI 2021 Repetitive Activity Counting by Sight and Sound CVPR 2021 Repopulating Street Scenes CVPR 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems Interspeech 2021 Representation Learning via Global Temporal Alignment and Cycle-Consistency CVPR 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021 Representative Forgery Mining for Fake Face Detection CVPR 2021 RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy ACL 2021 Repurposing GANs for One-Shot Semantic Part Segmentation CVPR 2021 Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences AAAI 2021 Restore From Restored: Video Restoration With Pseudo Clean Video CVPR 2021 Restoring Extremely Dark Images in Real Time CVPR 2021 Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning. ICCV 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021