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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)

Path-Invariant Map Networks CVPR 2019 Path-Specific Counterfactual Fairness AAAI 2019 Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation CVPR 2019 Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention CVPR 2019 PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval CVPR 2019 Peeking Into the Future: Predicting Future Person Activities and Locations in Videos CVPR 2019 Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment ACL 2019 Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification CVPR 2019 Perceptual Attention-based Predictive Control CoRL 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019 PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network AAAI 2019 Personalizing Dialogue Agents via Meta-Learning ACL 2019 PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification AAAI 2019 PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track EMNLP 2019 PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data AAAI 2019 Phonetic Normalization for Machine Translation of User Generated Content EMNLP 2019 PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning CoRL 2019 Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages EMNLP 2019 PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image CVPR 2019 Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer AAAI 2019 Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages ACL 2019 Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network AAAI 2019 Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning CVPR 2019 PointConv: Deep Convolutional Networks on 3D Point Clouds CVPR 2019 PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation NeurIPS 2019