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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
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'25

Papers (including subtopics)

Gravitationally Lensed Black Hole Emission Tomography CVPR 2022 Grounded Dialogue Generation with Cross-encoding Re-ranker, Grounding Span Prediction, and Passage Dropout ACL 2022 Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation EMNLP 2022 Grounded Language-Image Pre-Training CVPR 2022 Grounding Answers for Visual Questions Asked by Visually Impaired People CVPR 2022 Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations EMNLP 2022 Group Contextualization for Video Recognition CVPR 2022 Grow and Merge: A Unified Framework for Continuous Categories Discovery NeurIPS 2022 GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract) AAAI 2022 GTCOM Neural Machine Translation Systems for WMT22 EMNLP 2022 GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks NeurIPS 2022 GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference AAAI 2022 Guiding Abstractive Dialogue Summarization with Content Planning EMNLP 2022 Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification EMNLP 2022 Guiding Neural Entity Alignment with Compatibility EMNLP 2022 GULP: a prediction-based metric between representations NeurIPS 2022 H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection CVPR 2022 H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis AAAI 2022 Habitat-Web: Learning Embodied Object-Search Strategies From Human Demonstrations at Scale CVPR 2022 HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting AAAI 2022 Hamiltonian Latent Operators for content and motion disentanglement in image sequences NeurIPS 2022 Handcrafted Backdoors in Deep Neural Networks NeurIPS 2022 Handwritten Mathematical Expression Recognition via Attention Aggregation Based Bi-directional Mutual Learning AAAI 2022 Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model EMNLP 2022 Hard ImageNet: Segmentations for Objects with Strong Spurious Cues NeurIPS 2022