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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)

Aggregating Image and Text Quantized Correlated Components CVPR 2016 A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks Interspeech 2016 A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising CVPR 2016 A Key Volume Mining Deep Framework for Action Recognition CVPR 2016 A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences Interspeech 2016 A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation CVPR 2016 An Online Sequence-to-Sequence Model Using Partial Conditioning NeurIPS 2016 Anticipating Visual Representations From Unlabeled Video CVPR 2016 A Probabilistic Framework for Deep Learning NeurIPS 2016 Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition Interspeech 2016 A Task-Oriented Approach for Cost-Sensitive Recognition CVPR 2016 A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NeurIPS 2016 A Theory of Generative ConvNet ICML 2016 Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition Interspeech 2016 Attention-Based Convolutional Neural Networks for Sentence Classification Interspeech 2016 Attention to Scale: Scale-Aware Semantic Image Segmentation CVPR 2016 Augmentable Gamma Belief Networks JMLR 2016 Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification ICML 2016 Autoencoding beyond pixels using a learned similarity metric ICML 2016 Automatic Classification of Lexical Stress in English and Arabic Languages Using Deep Learning Interspeech 2016 Automatic Content-Aware Color and Tone Stylization CVPR 2016 Automatic Pronunciation Generation by Utilizing a Semi-Supervised Deep Neural Networks Interspeech 2016 Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency CVPR 2016 Bank of Weight Filters for Deep CNNs ACML 2016 Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016