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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)

Geometric Image Correspondence Verification by Dense Pixel Matching WACV 2020 Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery CVPR 2020 Geometry-aware domain adaptation for unsupervised alignment of word embeddings ACL 2020 Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation AAAI 2020 Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks AAAI 2020 Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition WACV 2020 Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds CVPR 2020 Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition CVPR 2020 Global Texture Enhancement for Fake Face Detection in the Wild CVPR 2020 Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search NeurIPS 2020 Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs ACL 2020 GMAN: A Graph Multi-Attention Network for Traffic Prediction AAAI 2020 GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NeurIPS 2020 GoEmotions: A Dataset of Fine-Grained Emotions ACL 2020 Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared task ACL 2020 Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks AAAI 2020 Going Beyond T-SNE: Exposing whatlies in Text Embeddings EMNLP 2020 Going Deeper With Lean Point Networks CVPR 2020 Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020 Good-Enough Compositional Data Augmentation ACL 2020 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020 Gradient-Aware Model-Based Policy Search AAAI 2020 Gradually Vanishing Bridge for Adversarial Domain Adaptation CVPR 2020 Graduate Employment Prediction with Bias AAAI 2020 Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner’s Error Tendency ACL 2020