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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)

Deep Multitask Architecture for Integrated 2D and 3D Human Sensing CVPR 2017 Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction EMNLP 2017 Deep Multitask Learning for Semantic Dependency Parsing ACL 2017 DeepNav: Learning to Navigate Large Cities CVPR 2017 Deep Network Flow for Multi-Object Tracking CVPR 2017 Deep Neural Solver for Math Word Problems EMNLP 2017 DeepPermNet: Visual Permutation Learning CVPR 2017 Deep Reinforcement Learning-Based Image Captioning With Embedding Reward CVPR 2017 Deep Reinforcement Learning from Human Preferences NeurIPS 2017 Deep Representation Learning for Human Motion Prediction and Classification CVPR 2017 Deep Residual Learning for Weakly-Supervised Relation Extraction EMNLP 2017 Deep Self-Taught Learning for Weakly Supervised Object Localization CVPR 2017 Deep Semantic Feature Matching CVPR 2017 Deep Semantic Role Labeling: What Works and What’s Next ACL 2017 Deep Sequential Context Networks for Action Prediction CVPR 2017 Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval CVPR 2017 Deep Speaker Feature Learning for Text-Independent Speaker Verification Interspeech 2017 Deep Structured Learning for Facial Action Unit Intensity Estimation CVPR 2017 Deep Subspace Clustering Networks NeurIPS 2017 Deep Supervised Discrete Hashing NeurIPS 2017 Deep Supervised Hashing with Nonlinear Projections IJCAI 2017 Deep Unsupervised Similarity Learning Using Partially Ordered Sets CVPR 2017 Deep Video Deblurring for Hand-Held Cameras CVPR 2017 Deep Visual-Semantic Quantization for Efficient Image Retrieval CVPR 2017 Deliberation Networks: Sequence Generation Beyond One-Pass Decoding NeurIPS 2017