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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
'20
'25

Papers (including subtopics)

Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders ICLR 2021 Functional Regularization for Reinforcement Learning via Learned Fourier Features NeurIPS 2021 Functional Space Analysis of Local GAN Convergence ICML 2021 Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021 Future-Guided Incremental Transformer for Simultaneous Translation AAAI 2021 FVC: A New Framework Towards Deep Video Compression in Feature Space CVPR 2021 GAIA: A Transfer Learning System of Object Detection That Fits Your Needs CVPR 2021 Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks AAAI 2021 GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning EMNLP 2021 GAN-Control: Explicitly Controllable GANs ICCV 2021 GAN Ensemble for Anomaly Detection AAAI 2021 GANMEX: One-vs-One Attributions using GAN-based Model Explainability ICML 2021 GAN Prior Embedded Network for Blind Face Restoration in the Wild CVPR 2021 GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis Interspeech 2021 GAN "Steerability" without optimization ICLR 2021 Gated Transformer for Robust De-noised Sequence-to-Sequence Modelling EMNLP 2021 GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction AAAI 2021 GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction CVPR 2021 Gaussian Kernel Mixture Network for Single Image Defocus Deblurring NeurIPS 2021 Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives ACL 2021 General Instance Distillation for Object Detection CVPR 2021 Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection EMNLP 2021 Generalizable Imitation Learning from Observation via Inferring Goal Proximity NeurIPS 2021 Generalizable Pedestrian Detection: The Elephant in the Room CVPR 2021 Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections CVPR 2021