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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)

Contrastive Token-Wise Meta-Learning for Unseen Performer Visual Temporal-Aligned Translation ACL 2023 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining ICML 2023 Controllable Chest X-Ray Report Generation from Longitudinal Representations EMNLP 2023 Controllable Guide-Space for Generalizable Face Forgery Detection ICCV 2023 Controllable Mixed-Initiative Dialogue Generation through Prompting ACL 2023 Controllable Neural Symbolic Regression ICML 2023 Controllable Text Generation via Probability Density Estimation in the Latent Space ACL 2023 Controlled Text Generation with Hidden Representation Transformations ACL 2023 Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning AAAI 2023 Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers ACL 2023 Converge to the Truth: Factual Error Correction via Iterative Constrained Editing AAAI 2023 ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders CVPR 2023 Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP NeurIPS 2023 ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing CVPR 2023 COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation ICCV 2023 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets CVPR 2023 Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation AAAI 2023 CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023 Copy is All You Need ICLR 2023 CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching CVPR 2023 CoralStyleCLIP: Co-Optimized Region and Layer Selection for Image Editing CVPR 2023 Correlational Image Modeling for Self-Supervised Visual Pre-Training CVPR 2023 Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry NeurIPS 2023 Corrupted Image Modeling for Self-Supervised Visual Pre-Training ICLR 2023 Corrupting Neuron Explanations of Deep Visual Features ICCV 2023