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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)

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning AAAI 2021 Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021 Training Generative Adversarial Networks in One Stage CVPR 2021 Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021 Training Neural Networks with Fixed Sparse Masks NeurIPS 2021 Training Recurrent Neural Networks via Forward Propagation Through Time ICML 2021 Training Spiking Neural Networks with Accumulated Spiking Flow AAAI 2021 Training Weakly Supervised Video Frame Interpolation With Events ICCV 2021 “Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition MIDL 2021 Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021 Transferable Query Selection for Active Domain Adaptation CVPR 2021 Transferable Semantic Augmentation for Domain Adaptation CVPR 2021 Transfer Graph Neural Networks for Pandemic Forecasting AAAI 2021 Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared Task EMNLP 2021 Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it? EMNLP 2021 TransFill: Reference-Guided Image Inpainting by Merging Multiple Color and Spatial Transformations CVPR 2021 Transformation Driven Visual Reasoning CVPR 2021 Transformation Invariant Few-Shot Object Detection CVPR 2021 Transformer-Based ASR Incorporating Time-Reduction Layer and Fine-Tuning with Self-Knowledge Distillation Interspeech 2021 Transformer Feed-Forward Layers Are Key-Value Memories EMNLP 2021 Transformer protein language models are unsupervised structure learners ICLR 2021 Transient Non-stationarity and Generalisation in Deep Reinforcement Learning ICLR 2021 Transitional Adaptation of Pretrained Models for Visual Storytelling CVPR 2021 Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction ACL 2021 Translating Headers of Tabular Data: A Pilot Study of Schema Translation EMNLP 2021