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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)

STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023 StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos CVPR 2023 StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection AAAI 2023 Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models ACL 2023 Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction CVPR 2023 Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023 Stop-Gradient Softmax Loss for Deep Metric Learning AAAI 2023 Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages ACL 2023 Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolution AAAI 2023 StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing ACL 2023 STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner NeurIPS 2023 Streaming Active Learning with Deep Neural Networks ICML 2023 Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration AAAI 2023 Strong and Efficient Baselines for Open Domain Conversational Question Answering EMNLP 2023 StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training ICLR 2023 StructSP: Efficient Fine-tuning of Task-Oriented Dialog System by Using Structure-aware Boosting and Grammar Constraints ACL 2023 Structure and Content-Guided Video Synthesis with Diffusion Models ICCV 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems AAAI 2023 Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data ACL 2023 Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers AAAI 2023 Structured State Space Models for In-Context Reinforcement Learning NeurIPS 2023 Structure Flow-Guided Network for Real Depth Super-resolution AAAI 2023 Structure of Nonlinear Node Embeddings in Stochastic Block Models AISTATS 2023 StructVPR: Distill Structural Knowledge With Weighting Samples for Visual Place Recognition CVPR 2023 Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-lingual Transfer through Reinforcement Learning EMNLP 2023