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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)

CARS: Continuous Evolution for Efficient Neural Architecture Search CVPR 2020 Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data CVPR 2020 Cascaded Human-Object Interaction Recognition CVPR 2020 Cascading Convolutional Color Constancy AAAI 2020 CASIA’s System for IWSLT 2020 Open Domain Translation ACL 2020 CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations NeurIPS 2020 CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation AAAI 2020 CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020 CATOTRON — A Neural Text-to-Speech System in Catalan Interspeech 2020 CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network IJCAI 2020 CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation ACL 2020 CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020 Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics CVPR 2020 Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments EMNLP 2020 CenterMask: Single Shot Instance Segmentation With Point Representation CVPR 2020 Central Similarity Quantization for Efficient Image and Video Retrieval CVPR 2020 Certified Defense to Image Transformations via Randomized Smoothing NeurIPS 2020 Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks NeurIPS 2020 C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds CVPR 2020 Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations AAAI 2020 Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020 Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline ACL 2020 Channel Interaction Networks for Fine-Grained Image Categorization AAAI 2020 Character aware models with similarity learning for metaphor detection ACL 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020