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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)

Foreground-Aware Image Inpainting CVPR 2019 Forward-Backward Generative Adversarial Networks for Anomaly Detection ACML 2019 Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities AAAI 2019 Frame and Feature-Context Video Super-Resolution AAAI 2019 Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning AAAI 2019 From Bilingual to Multilingual Neural Machine Translation by Incremental Training ACL 2019 From Coarse to Fine: Robust Hierarchical Localization at Large Scale CVPR 2019 From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users ACML 2019 From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification AAAI 2019 From Insanely Jealous to Insanely Delicious: Computational Models for the Semantic Bleaching of English Intensifiers ACL 2019 From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining EMNLP 2019 From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI NeurIPS 2019 From Zero-Shot Learning to Cold-Start Recommendation AAAI 2019 f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition AAAI 2019 Fully Automatic Video Colorization With Self-Regularization and Diversity CVPR 2019 Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing AAAI 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning NeurIPS 2019 Fully Quantized Network for Object Detection CVPR 2019 Functional Adversarial Attacks NeurIPS 2019 Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification ACML 2019 Fusion Techniques for Utterance-Level Emotion Recognition Combining Speech and Transcripts Interspeech 2019 F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning CVPR 2019 Gait Recognition via Disentangled Representation Learning CVPR 2019 Gated Residual Recurrent Graph Neural Networks for Traffic Prediction AAAI 2019 Gaussian-Based Pooling for Convolutional Neural Networks NeurIPS 2019