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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)

LSTM Self-Supervision for Detailed Behavior Analysis CVPR 2017 Making the v in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering CVPR 2017 Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017 MarrNet: 3D Shape Reconstruction via 2.5D Sketches NeurIPS 2017 MAT: A Multimodal Attentive Translator for Image Captioning IJCAI 2017 Matching neural paths: transfer from recognition to correspondence search NeurIPS 2017 Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision EMNLP 2017 May I take your order? A Neural Model for Extracting Structured Information from Conversations EACL 2017 Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results NeurIPS 2017 Memory-augmented Neural Machine Translation EMNLP 2017 Methodical Evaluation of Arabic Word Embeddings ACL 2017 Mimicking Very Efficient Network for Object Detection CVPR 2017 MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information CVPR 2017 Minimum Semantic Error Cost Training of Deep Long Short-Term Memory Networks for Topic Spotting on Conversational Speech Interspeech 2017 Mining Object Parts From CNNs via Active Question-Answering CVPR 2017 Missing Modalities Imputation via Cascaded Residual Autoencoder CVPR 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NeurIPS 2017 Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study IJCAI 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017 Modeling Hebb Learning Rule for Unsupervised Learning IJCAI 2017 Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary ACL 2017 MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features CVPR 2017 Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments NeurIPS 2017 Multi-Attention Network for One Shot Learning CVPR 2017 Multigrid Neural Architectures CVPR 2017