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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)

Invert to Learn to Invert NeurIPS 2019 Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification EMNLP 2019 Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis EMNLP 2019 Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks EMNLP 2019 Investigating Multilingual NMT Representations at Scale EMNLP 2019 Investigating Political Herd Mentality: A Community Sentiment Based Approach ACL 2019 Investigating the Effectiveness of BPE: The Power of Shorter Sequences EMNLP 2019 Investigating the effect of novel classes in semi-supervised learning ACML 2019 IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019 Is Word Segmentation Necessary for Deep Learning of Chinese Representations? ACL 2019 Iterative Alignment Network for Continuous Sign Language Recognition CVPR 2019 Iterative Dual Domain Adaptation for Neural Machine Translation EMNLP 2019 Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning CVPR 2019 Iterative Residual CNNs for Burst Photography Applications CVPR 2019 IT–IST at the SIGMORPHON 2019 Shared Task: Sparse Two-headed Models for Inflection ACL 2019 It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning CVPR 2019 IxaMed at PharmacoNER Challenge 2019 EMNLP 2019 Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs ICLR 2019 JHU 2019 Robustness Task System Description ACL 2019 Johns Hopkins University Submission for WMT News Translation Task ACL 2019 Joint Discriminative and Generative Learning for Person Re-Identification CVPR 2019 Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation AAAI 2019 Joint Entity Extraction and Assertion Detection for Clinical Text ACL 2019 Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction EMNLP 2019 Joint Face Detection and Facial Motion Retargeting for Multiple Faces CVPR 2019